Managing my own health! An ancillary outlook on pharmaceutical and health supplements consumption (2024)

Abstract

Purpose

The surge in pharmaceutical and health supplement usage among consumers aims to enhance personal well-being. This growing opportunity for pharmaceutical brands has resulted in increased market share and intensified industry competition. Using the theory of planned behaviour (TPB), this study aims to identify the factors influencing Malaysians’ choices regarding pharmaceutical and health supplements. In addition, the variable of past behaviour was incorporated to account for consumer decisions based on prior experiences.

Design/methodology/approach

Using purposive sampling, 300 questionnaires were gathered and analysed via Statistical Package for the Social Sciences and structural equation modelling technique via Analysis of Moment Structures software to validate the reliability of each variables and the postulated relationships within the research framework.

Findings

Results revealed a pronounced impact of past behaviour on the intention to consume pharmaceutical and health supplements. The mediating role of perceived behavioural control in bridging past behaviour and consumption intention was also ascertained. Notably, the findings support the inclusion of past behaviour in the TPB as a pivotal determinant of intention.

Originality/value

The insights gleaned underscore the escalating trend of pharmaceutical consumption in Malaysia, providing strategies to enhance and maintain the competitive edge and market position of pharmaceutical brands.

Keywords

  • Theory of planned behaviour (TPB)
  • Perceived behavioural control
  • Past behaviour
  • Perceived impacts of advertising
  • Healthcare marketing
  • SDG 3 = Health
  • SDG 12 = Consumer behaviour

Citation

Cheng, B.-L., Cham, T.-H., Gao, Z., Abd Rahim, M.F.b., Lau, T.C. and Dent, M.M. (2024), "Managing my own health! An ancillary outlook on pharmaceutical and health supplements consumption", International Journal of Pharmaceutical and Healthcare Marketing, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJPHM-06-2022-0057

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

1. Introduction

The shock wave of the COVID-19 pandemic has fostered a trend towards self-care among consumers. Enhanced access to medical knowledge has enabled individuals to take charge of their own health care and well-being (Rovira etal., 2013). Following the recommendations from Malaysia’s National Pharmaceutical Regulatory Agency (2024), this study defines pharmaceuticals and health supplements as products intended to supplement diets and enhance the health and functionality of the human body. These products are available in various forms, such as tablets, liquids, capsules and powders, and are packed with minerals, vitamins, fatty acids, amino acids, probiotics, enzymes or other bioactive components. The growing focus on disease prevention has significantly increased the demand for pharmaceuticals and health supplements. This rising consciousness has positioned the Asia Pacific region as the second-largest market for these products, securing 31% of the market in 2018 (Grand View Research and Inc, 2019a).

On the other hand, Malaysia bears the unfortunate label of being the most overweight country in Southeast Asia (Ng etal., 2014). Yusoff’s (2015) report, which reveals a 1:4 ratio of diabetic to non-diabetic individuals in the nation, highlights the pressing health issues. As a result, the local focus has intensely shifted towards health-care products. This emphasis is evident in Malaysia’s 2018 national budget, where RM1.6bn, RM2.5bn and RM27bn were allocated for health-related consumables, medical supplies and public health care, respectively (Malaysian Ministry of Finance, 2018). The global pharmaceutical and health supplement market, anticipated to reach US$194.63bn by 2025, showcases its burgeoning potential internationally (Grand View Research and Inc, 2019b).

Yet, deciphering consumer preferences for pharmaceuticals and health supplements remains intricate for enterprises. Although consumption patterns are generally linked to environmental factors (Dickinson and MacKay, 2014; Kofoed etal., 2015), intrinsic elements such as gender variances (Conner etal., 2001), ageing populations (Dickinson and MacKay, 2014), educational backgrounds (Yuan etal., 2015) and socio-economic standings (Adeline and Delattre, 2017) also play roles in product utilisation. However, these elements do not fully encompass consumers’ access to health-related data, which is pivotal for making informed choices. A relevant example is Pharmaniaga Bhd, a Malaysian pharmaceutical company, which faced a staggering loss of RM552.3m due to the overstocking of Sinovac vaccines. Coupled with the vaccine’s brief shelf life and decreasing demand, this oversight resulted in a significant financial loss and a 15.4% reduction in market value in a brief period (Salim, 2023). Hence, understanding consumer intentions and preferences becomes vital for pharmaceutical entities in navigating the dynamic realm of personal health care.

Furthermore, the market dynamics mentioned earlier closely resonate with the theory of planned behaviour (TPB), which identifies determinants of behavioural motivations and actions (Ajzen, 1991; Conner etal., 2003). However, the theory lacks consideration of how past experiences might influence current decisions within its framework (Godin etal., 1993). This model’s predictive aspects highlight the distinct influence of previous actions on current intentions (Towler and Shepherd, 1991). Subsequent research proposes the use of TPB as the foundational theory for understanding the effects of advertising on consumption across diverse cultural contexts (Chetioui etal., 2021). Furthermore, in combination with comprehensive marketing strategies, advertising has been shown to have a direct correlation with tangible product consumption (Esteves Pairazaman etal., 2022). Cham etal. (2021) specifically highlighted the profound impact from advertising campaigns and social media promotion on medical branding, and a similar impact is anticipated within the pharmaceutical and health supplement domains.

In addition to the above, the introduction of stringent government policies, such as the Control of Drugs and Cosmetics Regulations 1984, Dangerous Drug Act 1952 and Poison Act 1952, has made marketing challenging due to concerns about misleading information and the potential for false claims, all in the name of consumer protection (Hassali and Shakeel, 2020). However, strict adherence to these regulations can enhance the credibility of advertising messages, given the assurance of government-approved safety. Since the preference for culturally aligned pharmaceutical products depends on individual values, religious convictions, decision-making capacity and access to information (Kasri etal., 2023; Widyanto and Sitohang, 2022), promoting specific qualities (e.g. Halal certification) becomes deeply intertwined with numerous internal variables. In this context, Bharskar and Siddheshwar (2020) study on refined digital marketing tactics for pharmaceutical supplements emphasises the intricate relationship between advertised items and consumer requirements, transcending conventional mass marketing techniques. In Malaysia’s diverse marketplace, there has been a notable shift from collectivism to individualism concerning the adoption of pharmaceutical and health-oriented products, reflecting the country’s rich cultural and historical tapestry. Yet, there has been limited exploration into discerning these subtle differences, as highlighted in the TPB model, when determining and implementing an appropriate advertising strategy.

Against this backdrop, the present study aims to delve into the Malaysian consumer landscape to:

  • pinpoint factors steering the consumption of pharmaceutical and health supplements;

  • scrutinise the role of past behaviours on prevailing consumption trends;

  • evaluate the intermediary effect of perceived behavioural control on the bond between past behaviour and consumption intent; and

  • examine the moderating impact of advertising.

2. Literature review

Predicting consumer consumption patterns accurately is a pivotal advantage in the pharmaceutical and health supplement industry. The theory of reasoned action sets the stage by shedding light on various factors influencing consumers’ intentions and actions (Sheppard etal., 1988). Building upon this foundation, the TPB introduced the concept of perceived control, deepening our understanding of external elements that influence purchase intentions (Ajzen and Fishbein, 1980). The applicability of TPB in understanding health-related behaviours is accentuated by Malek etal. (2017). Qi and Ploeger (2019) further demonstrated the theory’s applicability, associating healthy product selections with factors such as personal backgrounds, self-efficacy and other individual considerations. While TPB offers an extensive framework for deciphering health-conscious consumption, it also recognises the influence of numerous external determinants. These include product origin, lifestyle requirements, technological aspects, health benefits, ethical considerations, incentives and product accessibility (Nardi etal., 2019). Hamilton etal. (2020) used TPB to examine the dynamics between personal, social and environmental factors in health-driven behaviours, emphasising the moderating effect of past consumption experiences. Cheng etal. (2019) observed that attitudes towards health-related consumption and physical activity occasionally differ due to varying attitudes, societal standards and perceived control. Nevertheless, the relevance of TPB in explaining health-oriented purchases has been solidly affirmed by Carfora etal. (2019).

Shifting our focus to Malaysia, the nation’s pharmaceutical industry is growing and flourishing. Predicted to contribute RM10bn to the GDP by 2024, the industry, valued at RM7.5bn in 2018, proudly hosts 445 registered entities (Pharmaceutical Association of Malaysia, 2024). Revenue figures from 2022 place the sector’s valuation at US$1736.74m, with an anticipated annual growth rate of 2.77% expected from 2023 to 2027 (Statista, 2023). Within this thriving environment, product attributes significantly influence consumption trends, with choices often guided by individual requirements and acquired knowledge (Ting etal., 2019). Given the facts highlighted above, the TPB emerges as a suitable framework to elucidate the primary drivers of pharmaceutical consumption in Malaysia.

According to the literature, it was reported that different perceptions regarding the effectiveness and value of health products shape the brand preferences of Malaysian consumers towards pharmaceutical products (Ting etal., 2019). While Koh and Goh (2021) used the TPB to uncover the cognitive foundation of pharmaceutical self-care in Malaysia, aspects such as individual convictions about health benefits and knowledge concerning specific products have received limited exploration. This observation underscores the need for a more in-depth analysis of consumer convictions, particularly focusing on anticipated product effectiveness, societal acceptance and individual confidence in the Malaysian context.

At the core of attitude formation lie behavioural beliefs, which represent an individual’s evaluative judgements regarding the potential consequences of a behaviour (Ajzen and Fishbein, 1977). This concept encompasses both the anticipated outcomes of an action and its perceived value (Ajzen, 1991). Such convictions have been directly associated with attitudes that promote healthy lifestyles, as illustrated by Kim etal. (2018) and supported by Montaño and Kasprzyk (2015). Mister (2017) associated increased consumption of pharmaceutical and health supplements with motivations rooted in personal well-being. Individual’s perspectives regarding potential health threats and the inherent benefits of preventive measures shape their attitudinal positions (Huang etal., 2020). As a result, it is proposed that perceived health benefits act as predictors of a positive attitude towards the consumption of pharmaceutical and health supplements. As such, the following hypothesis is postulated:

H1.

Behavioural beliefs positively influence consumers’ attitudes towards pharmaceutical and health supplements.

Normative beliefs further illuminate societal influence within the examined industry. Introduced by Ajzen (2006), this variable is conceptualised as one’s perception of societal acceptance. Two main components are considered: firstly, how significant individuals within society perceive a particular behaviour, and secondly, the individual’s willingness to comply with these societal expectations (Bicchieri, 2006). Building on this, Ajzen and Fishbein (1980) posited normative beliefs as a precursor to the subjective norm. Fang etal. (2017) reinforced this concept, indicating a significant causal relationship between normative beliefs and subjective norms, especially in sustainable living. While an individual’s awareness of societal perceptions influences intentions towards organic consumption (Wang and Wei, 2012; Kim and Chung, 2011), it is believed that subjective norms often guide actual intentions. The literature reviewed emphasises the profound influence of individual perceptions on societal acceptance, particularly concerning the pressures surrounding the consumption of specific pharmaceuticals and health supplements. With this in mind, the following hypothesis is proposed:

H2.

Normative beliefs positively influence the subjective norm of using pharmaceutical and health supplements.

Furthermore, control beliefs for the present study are defined as individuals’ general sense of control regarding the consumption of pharmaceutical and health supplements (Ajzen, 1991). While tablets, capsules and soft gels are the preferred forms for health supplement consumption, there is an expectation of growing popularity for powder-based products due to their user-friendliness (Grand View Research and Inc, 2019a). Factors such as ease of consumption and aligning with consumers’ preferences should be taken into account. There is an increased recognition of control beliefs related to improved health among ageing populations. Perceived control over one’s actions directly motivates positive health-inducing behaviours (Drewelies etal., 2018). This motivation often relates to an individual’s self-efficacy in adopting certain behaviours after evaluating potential factors that might affect those behaviours (Lachman etal., 2011). Beyond wellness attributes, other characteristics promoting convenience in the consumption of pharmaceutical and health supplements are also acknowledged. Hence, the following hypothesis is proposed:

H3.

Control beliefs positively influence consumers’ perceived behaviour control in using pharmaceutical and health supplements.

Based on the TPB, perceptions formed can potentially precede intentions towards actual consumption behaviours. Behavioural intention denotes a person’s readiness to adopt a specific behaviour (Cham etal., 2016; Cham etal., 2022). Meanwhile, attitudes, subjective norms and perceived behavioural control are seen as antecedents to such behavioural intention. The degree to which each conceptual variable impacts health-related consumption varies based on individuals’ perceptions of healthy living, product safety, awareness of societal and environmental conditions and personal quality of life (Fleșeriu etal., 2020). As articulated by Eagly and Chaiken (2007), attitude is a disposition of approval or disapproval determined by evaluating a specific offering. It encompasses consumers’ subjective evaluations of the outcomes of consuming pharmaceutical and health supplements and their emotional assessment of the importance of those outcomes. Given the relationship between perceived outcomes and formed attitudes, Ajzen (2001) proposed the mediating effect of attitude on behavioural intention through behavioural beliefs. Attitude has also emerged as the predominant predictor of the consumption intention of pharmaceutical and health supplements among female consumers (Conner etal., 2003). Similar logic has driven the impact of scepticism about a product’s effectiveness or inherent health risks on the intention for trial or adoption, supporting a notable correlation between these variables (Cham etal., 2020a; Soveri etal., 2021). Therefore, the attitude formed towards pharmaceutical and health supplements directly influences consumers’ behavioural intentions. Hence, the H4 for the present study is presented below:

H4.

Consumers’ attitude positively influences their intention to consume pharmaceutical and health supplements.

Influenced by both normative and informational social aspects, social influence is the effect of societal elements on individual actions (Deutsch and Gerard, 1955). Specifically, the normative norm predominantly reflects the group’s overall influence. Termed as the “injunctive norm” by Rivis and Sheeran (2003), Cialdini etal. (1991) described norms as actions mutually accepted within a society. Consequently, pharmaceutical practitioners often harness social trends and shifts influencing health-care consumption. Several studies have emphasised this as vital to social sustainability by impacting operational intentions (Fang etal., 2017; Abrahamse and Steg, 2009), although this view has been contested by White etal. (2008). Gong etal. (2019) also positioned the perceived norm as a significant influencer alongside reliability and perceived benefits in persuading health-related endeavours. More recent research on consumer behaviour has identified a causal relationship between subjective norm and purchasing intention (Teng and Wang, 2015). Contrary to Western populations, which tend to be more individualistic, the influence of the community was highlighted in research by Tangkiatkumjai etal. (2020) among Asian populations regarding health-related supplement consumption. Given the fact illustrated above, it can be hypothesised that:

H5.

Subjective norm positively influences consumers’ intention to consume pharmaceutical and health supplements.

Behavioural control delves into the perceived ease or difficulty of performing a specific action (Ajzen, 2005). Rooted in Bandura’s (1982) concept of perceived self-efficacy, it gauges one’s belief in their ability to execute tasks and navigate challenges. As Ajzen (1985) noted, when behaviours are not entirely within voluntary control, intention is heavily influenced by perceived behavioural control. While Kiriakidis (2015) identified perceived behavioural control as a direct precursor to intention, they distinguished it from actual behaviours. Johe and Bhullar (2016) introduced a nuanced perspective, suggesting that perceived behavioural control intertwines with self-identity and societal norms. Conversely, a perceived lack of self-efficacy, especially in relation to health precautions, can lead to reluctance to take specific actions (Hanson etal., 2015). In the context of pharmaceutical and health supplements, perceived behavioural control assesses available resources and potential barriers, such as outlet locations and financial constraints, which might be beyond a consumer’s control. Based on this establishment, the following hypothesis is proposed:

H6.

Perceived behavioural control positively influences consumers’ intention to consume pharmaceutical and health supplements.

The TPB, comprehensive in its approach to understanding social behaviours, does not entirely capture the nuances of repeat purchases and consumption – a crucial aspect for pharmaceutical companies aiming for enduring market engagement. Aarts (2007) drew a connection between past behaviour and intention through habit formation, a link further reinforced by Sandberg and Conner (2008), who noted a significant increase in the predictive power of intention when incorporating past behaviour. This aspect spotlights consumer repurchase patterns, offering insights into consistent behaviours (Smith etal., 2008; Ouellette and Wood, 1998). Indeed, Ajzen (2011) identified past behaviour as the primary predictor of behavioural intention.

However, Ajzen (2005) later questioned the direct relationship between past behaviour, intention and subsequent actions, suggesting that past behaviour mainly illustrates behavioural consistency, which becomes less relevant when other significant predictors of intention are present. Some scholars, such as Sommer (2011), argued that habits evolve from past actions into established behaviours, while others, such as Sheeran etal. (2005), believed that past behaviours, combined with conscious determinants, shape reasoned and semi-automatic behaviours. Kulik etal. (2019) emphasised the role of foundational knowledge in shaping attitudes and behaviours, contrasting with Godrich etal. (2019), who highlighted the importance of confidence gained from previous experience.

Interestingly, Ajzen (1991) proposed that past behaviours might indirectly influence potential behaviours through perceived behavioural control. Sultan etal. (2020) highlighted how product or brand familiarity can shape consumer expectations and satisfaction. Knowledge and familiarity, stemming from past engagements, factor into greater perceived control before consumption. The intricate relationship between past experience and current behaviour, as suggested by Norman and Conner (2006) and Smith etal. (2007), leads us to the subsequent hypotheses:

H7.

Past behaviour positively influences the intention to consume pharmaceutical and health supplements.

H8.

Past behaviour positively influences perceived behavioural control.

H9.

The effect of past behaviour on intention to consume pharmaceutical and health supplements is mediated by perceived behavioural control.

In marketing, advertising stands as a potent communication tool, used to convey persuasive messages across various media platforms (American Marketing Association, 2024). Its efficacy lies in shaping one’s perceptions, emotions, attitudes and behaviours (Cham etal., 2020b; Chen etal., 2017; Fam etal., 2023). The dual capability of advertising to both inform and persuade has cemented its role as an essential business instrument (Bhutada and Rollins, 2015). Both price and advertising are recognised as crucial determinants of consumer preferences (Amer etal., 2019; Cham and Easvaralingam, 2012; Cheah etal., 2019).

Research consistently acknowledges the impact of advertising on consumer attitudes, behaviours and intentions (Mogaji and Danbury, 2017; Sameti and Khalili, 2017). Sameti and Khalili (2017) specifically emphasised the direct influence of commercial advertising on consumer behaviours and intentions. In contrast, Hoque etal. (2019) spotlighted the moderating role advertising plays between consumer attitudes and experiences. Given this backdrop, the following hypotheses are posited:

H10a.

Perceived impacts of advertising moderate the relationship between attitude and intention to consume pharmaceutical and health supplements.

H10b.

Perceived impacts of advertising moderate the relationship between subjective norm and intention to consume pharmaceutical and health supplements.

H10c.

Perceived impacts of advertising moderate the relationship between perceived behavioural control and intention to consume pharmaceutical and health supplements.

H10d.

Perceived impacts of advertising moderate the relationship between past behaviour and intention to consume pharmaceutical and health supplements.

Based on the previously discussed evidences, proposed conceptual framework with regards to the hypothesised interrelationships for the current study has been illustrated in Figure 1.

3. Research methodology

This study used a quantitative approach for data collection, with measurement items for the TPB variables adapted directly from Conner etal. (2001). The current construct encompassed eight items for behavioural beliefs, ten for normative beliefs and 12 for control beliefs. Six items were then used to measure consumers’ attitudes, three for subjective norms, six for perceived behavioural control and four for the intention to consume pharmaceutical and health supplements. Furthermore, three items for past behaviour were adapted from Albani etal. (2018) to assess current pharmaceutical and health supplement usage, with a six-item scale by Cham etal. (2021) used to operationalise the perceived impacts of advertising. The detailed measurement items for all the constructs included in this study are listed in Appendix.

The measurements for all the items were based on a five-point Likert scale, ranging from 1 = strongly disagree to 5 = strongly agree. A pre-test among 15 industry experts and a pilot study among 40 respondents were conducted prior to data collection to ascertain the questionnaire’s clarity. The face validity of each variable was established following the verified relevance and non-ambiguity of all items. Statistical analyses were then conducted using Analysis of Moment Structures version 25, alongside with the Statistical Package for the Social Sciences (SPSS) version 25.

3.1 Sample design and data collection

In alignment with the guidelines of Saunders etal. (2012), 300 self-administered questionnaires were distributed. The distribution was based on purposive sampling and used the mall-intercept method across three major shopping malls in Greater Kuala Lumpur, Malaysia. This location was strategically chosen due to its diverse population, its status as a recognised business hub and its concentration of the nation’s most prominent shopping malls (PwC, 2019). The questionnaires were equally distributed among these three malls. To ensure the validity and reliability of the responses, two criteria were established for respondents: the respondent must possess knowledge about pharmaceutical and health supplements, and the respondent must have purchased such supplements within the past six months.

Of the collected questionnaires, 96% (or 289) were deemed suitable for data analysis and hypothesis testing. As illustrated in Table 1, the sample showcased a nearly even gender distribution, with females comprising 52.0% and males 48.0%. Most respondents held a bachelor’s degree and reported an average monthly income between RM5,000 and RM9,999. The majority of participants identified as Malay (46.9%) and fell within the age bracket of 50–59 years (20.5%).

4. Research results

4.1 Confirmatory factor analysis and common method variance

Confirmatory factor analysis was used to examine the validity and reliability of items in measuring the entirety of the constructs. It serves as a precaution for assessing the measurement model’s fitness and addresses the included constructs’ convergent and discriminant validity. According to Hair etal. (2010), a model is considered fit if the following criteria are met:

  • normed chi-square (χ2/df) of less than 3;

  • Goodness of Fit (GFI) exceeding 0.90;

  • Root Mean Square Error of Approximation (RMSEA) of less than 0.08;

  • Comparative Fit Index (CFI) exceeding 0.90; and

  • Adjusted Goodness of Fit Index (AGFI) greater than 0.80. For the current constructs, the recorded values are χ2/df = 1.758, GFI = 0.804, RMSEA = 0.051, CFI = 0.908 and AGFI = 0.758, indicating the model to be reasonably fit.

Convergent validity was assessed across the constructs based on the recommendation by Hair etal. (2010) using three main criteria:

  1. Factor loading for all items within a respective construct must be greater than 0.60.

  2. Average variance extracted (AVE) for the constructs should exceed 0.50.

  3. Composite reliability for each construct should surpass 0.70.

As outlined in Table 2, factor loadings for most items are above 0.70, except for two items for control beliefs and one for attitude, ensuring the constructs maintain convergent validity. Moreover, AVE and composite reliability for each construct exceeded their respective thresholds of 0.50 and 0.70. Thus, convergent validity was established under these findings.

Discriminant validity was examined according to Fornell and Larcker (1981) based on a comparison between the square roots of AVE and the variance of the constructs and a comparison of AVE with Maximum-Shared-Squared-Variance (MSV). Discriminant validity is confirmed if the square root of AVE for each of the constructs is greater than the variance shared between any two constructs and if the value of AVE is greater than that of MSV. Table 3 shows that all correlation values (off-diagonal entries in italic) are smaller than their corresponding squared AVE (diagonal entries in bold), and the AVE for all constructs is greater than MSV. These results confirm the discriminant validity of the constructs.

Common method variance (CMV) can introduce false internal consistency and correlations among variables due to biased instruments (Podsakoff etal., 2003). The recommendations of Malhotra etal. (2006) and Low etal. (2021) were followed to assess CMV in this study. The results of Harman’s single-factor test showed that the variance explained by the first factor was 28% (i.e. below 40%), suggesting no significant common method bias in the study. After validating the measurement items, path analysis and hypothesis testing were undertaken.

4.2 Structural model assessment and hypotheses testing

Structural equation modelling is a common method for examining model fitness and assessing hypothesised relationship strength (Hair etal., 2010). The structural model for this study demonstrated reasonable fit, with χ2/df = 1,831, GFI = 0.805, RMSEA = 0.054, CFI = 0.903 and AGFI = 0.772. As observed in the hypothesised paths presented in Table 4, the first eight hypotheses were significantly supported. Positive associations were identified between behavioural beliefs, normative beliefs and control beliefs on consumers’ attitudes (β = 0.351, p < 0.001), subjective norms (β = 0.236, p < 0.001) and perceived behaviour control (β = 0.275, p < 0.001). In turn, a consumer’s intention to consume pharmaceutical and health supplements is significantly influenced by their attitude (β = 0.291, p < 0.001), subjective norm (β = 0.159, p < 0.05) and perceived behavioural control (β = 0.143, p < 0.05). Notably, the positive association of past behaviours with both perceived behavioural control (β = 0.305, p < 0.001) and intention to consume pharmaceutical and health supplements (β = 0.317, p < 0.001) was substantially evident.

The mediation effect of perceived behavioural control between past behaviour and intention to consume pharmaceutical and health supplements was based on the suggestion by Hayes (2013). As described in Table 5, an indirect effect of perceived behavioural control is demonstrated, with a 95% bias-corrected confidence interval (lower bound = 0.004; upper bound = 0.261) that did not straddle a zero in between. With such findings confirming the existence of a mediating effect, the H9 is, therefore, supported.

The moderating effect of perceived impacts of advertising between the predictors (e.g. attitude, subjective norm, perceived behaviour control and past behaviour) and intention to consume pharmaceutical and health supplements was addressed using the SPSS PROCESS macro. As suggested by Hayes (2013) and Cham etal. (2018), the moderation effect is present if the relationship between the interaction term and the outcome variable (e.g. consumption intention) in the regression model is significant. Highlighted in Table 6, the advertisem*nt was found to moderate the links between attitude → intention to consume pharmaceutical and health supplements (β = 0.149, p < 0.05) and subjective norm → intention to consume pharmaceutical and health supplements (β = 0.137, p < 0.05). Further elaborations are provided through graphs of interaction plots, as shown in Figures 2 and 3, which depict a steeper gradient for the interpolation line labelled “high level of impact from advertisem*nt” over “low level of impact from advertisem*nt”. Such outcomes suggest a parallel effect of advertisem*nt on consumers’ intentions when they hold a positive attitude or are influenced by societal pressure towards consumption. Hence, H10a and H10b are supported.

5. Discussion and implications of findings

The results fundamentally affirm a direct correlation between behavioural beliefs and attitudes towards consuming pharmaceutical and health supplements. Echoing the findings of Kim etal. (2018) and Montaño and Kasprzyk (2015) regarding result-oriented consumerism, a significant segment of the pharmaceutical market emphasises the tangible benefits of such consumption, particularly in terms of product value and advantages. This perspective is further supported by Choe and Kim (2018) and Kim and Eves (2012), which delve into consumers’ meticulous considerations of health-related value in food intake. As such, a personalised approach to self-care aligns with each individual’s unique nutritional requirements. While advertising messages should be specialised, avoiding over-generalising health benefits, the current data accentuates the importance of conveying specific product values. For instance, supplements targeting body weight control differ from those focusing on mental rejuvenation. Therefore, the “one-size-fits-all” notion is less favoured in marketing due to its lack of differentiation. Instead, the competitive landscape, which acknowledges individual needs, necessitates more tailored messages addressing specific wellness concerns.

Moreover, normative beliefs emerge as significant determinants of subjective norms. This is reinforced by prior studies such as Wang and Wei (2012) and Kim and Chung (2011), which indicate that the choice of supplements consumed by the public is not solely for individual wellness but is also influenced by prevailing societal trends and motivations. This suggests that venturing beyond individual needs could cater to a broader societal segment, enhancing market targeting. It is plausible that consumers within specific health-related categories might have mutual preferences for certain pharmaceutical supplements. For instance, older, physically active consumers might gravitate towards products to bolster bones and muscles. Insights from Jennings (2019) emphasise the value of consulting peers when faced with uncertainty, reinforcing the concept of shared cognition. This aligns with the notion of collective or modified perceptions influenced by family, acquaintances or societal views on health-related endeavours, as discussed by Linden (2015) and Sriram etal. (2018). In essence, these findings underscore the necessity for marketing strategies that resonate with distinct segments, allowing potential consumers to relate to the positive experiences of similar users. For pharmaceutical marketers, the goal would be to craft messages that highlight benefits endorsed by the public. Schultz etal. (2014) have also spotlighted the pivotal role of online buzz marketing in propagating word-of-mouth, suggesting that achieving subjective norms can be realised through endorsem*nts from satisfied users, such as online influencers. Nonetheless, the emphasis remains on crafting targeted advertising messages that transparently communicate the genuine benefits of consumption.

Furthermore, consumers’ perceived behavioural control has been directly linked to their control beliefs. This implies that an individual’s perception of self-care hinges on evaluating internal and external motivating factors. Such a perspective aligns with the works of Loebnitz and Grunert (2015) and Yang etal. (2018), emphasising environmentally driven motivations as pivotal for sustained consumption patterns. Building on these insights, there is a pressing need for an objective approach in retailing pharmaceutical and health-related products, focusing on accessibility and availability. As highlighted by Yang etal. (2018), mere attitudes and subjective norms might not translate into actual consumption, especially when challenges arise. Therefore, without accessible channels, differentiated marketing strategies in the pharmaceutical realm might fall short. For instance, the desire to purchase a specific skincare supplement is moot if geographical constraints hinder its acquisition. Consequently, a significant part of effective advertising pivots on ensuring expansive availability of consumption avenues, simplifying the purchase process – browsing, selecting, payment and delivery – for targeted customers. Concurrently, the intrinsic motivation of self-care in the market should not be eclipsed by the overarching concept of behavioural control. Drawing from Gist and Mitchell (1992), who highlighted the role of self-esteem, self-efficacy and perceived competency in task execution, the present findings reiterate the cornerstone role of advertising messages in fostering a belief in one’s capacity to manage wellness through pharmaceutical consumption. Going beyond the mere focus on targeted marketing, the emphasis rests on nurturing consumer awareness about their personal well-being, making it foundational to the attention given to the benefits of these endeavours.

Unsurprisingly, belief factors have emerged as dominant predictors of pharmaceutical product consumption intentions. However, what sets this study apart from prior research by Alami etal. (2019), Cham etal. (2018), Conner etal. (2001) and Lee etal. (2016) are the pronounced influences of attitude over perceived behavioural control and subjective norms in shaping the intrinsic intention for pharmaceutical-based self-care. In line with Schultz etal. (2014), a leaning towards individualism over collectivism is evident based on the distinct wellness needs of consumers. The pursuit of tailored benefits nudges them towards choosing readily available or familiar products rather than venturing into the unknown or less accessible options. Although past insights have underscored the importance of reference points and self-care motivations as foundational elements shaping market behaviours, the current findings emphasise the primacy of effectively communicating product benefits to target segments. Ultimately, consumers are more swayed by tangible benefits (e.g. ageing prevention) than by broad claims like “80% of the public is using this product” or motivational taglines like “You can take charge of your own health!” This accentuates the imperative of clear differentiation in advertising messages regarding functionality and genuine benefits. Hence, a precise alignment between marketed products and selecting an appropriate consumer category is favoured over a blanket, undifferentiated marketing approach.

While the current study, grounded in the TPB paradigm, supports findings by Sheeran etal. (2016) on the collective significance of the investigated independent variables towards health-related intentions, it stands in contrast to other studies. These studies, such as those by Bohen etal. (2016), Gupta etal. (2018) and Sriram etal. (2018), underscore the significance of specific variables such as attitude and perceived behavioural control. Such discrepancies raise questions about the paper’s generalisability from an academic perspective. However, when viewed within the context of the Malaysian market, this investigation suggests practical applicability for effectively targeting domestic consumers. Reiterating from earlier discussions, the emphasis on product functions and benefits solidifies its position in shaping market intentions, ensuring the effective delivery of the desired message. Recognising the significance of societal norms and behavioural controllability, it becomes evident that a nuanced market categorisation can negate the push for excessive customisation. The prevailing findings highlight consumers’ pronounced focus on usability. This suggests potential shifts in product choices under circ*mstances such as:

  • the discovery of a product that aligns better with their expectations;

  • a reshaped perception of a currently used product due to influence from a reference group advocating an alternative with superior value; and

  • unexpected unavailability of a current product, prompting the selection of an alternative without compromising health outcomes.

This poses a question for pharmaceutical stakeholders: How can they align with the needs and satisfaction-driven preferences of their target audience in Malaysia? This becomes paramount for product development and marketing strategies. In this context, a blend of positive word-of-mouth and product accessibility becomes vitally effective, especially when clients are convinced of the genuine benefits and values of the marketed supplements aligning with their wellness needs.

Building on this, the TPB paradigm, which emphasises current determinants, has been enriched by insights regarding the significant role of past behaviour in influencing the intention to consume pharmaceutical products. This perspective aligns with the works of Lim and Cham (2015) and Sheeran etal. (2016). However, it is essential to consider the findings of Hagger etal. (2018), who shed light on the “past behaviour effect”, where repeated consumption is subconsciously influenced by prior behaviours. The tendency for consumers to adhere to familiar consumption patterns, especially when previous experiences were positive, is noteworthy. This observation, when juxtaposed with earlier discussions on benefit-seeking, societal acceptance and controllability, introduces a fresh perspective on brand loyalty rooted in past experiences. Such a perspective challenges the established paradigm of minimal switching costs in scenarios where there is no prior experience. While the allure of products boasting enhanced targeted benefits, perceptions shaped by buzz marketing, and sheer convenience can be compelling, these factors may be counterbalanced by deep-rooted familiarity and resistance to change. Consumers’ attachment to familiar products may hinder efforts to introduce variations in supplemental needs. The overarching challenge lies in the quest for market expansion, particularly in capturing market share from neighbouring competitors. However, when viewed in conjunction with the TPB components, the significance of this variable offers a silver lining. The benefits of supplements remain a persuasive advertising message, reinforcing consumer confidence and encouraging trials and adoption. However, this is contingent upon competing products delivering superior value compared to established pharmaceutical supplements.

The indirect influence of past behaviour on the intention to consume pharmaceutical products is further clarified through the mediating effect of perceived behavioural control. Drawing from the findings of Bagozzi and Edwards (1998) and Gollwitzer and Oettingen (1998), the importance of making lifestyle changes to adopt healthier behaviours becomes evident. An individual’s commitment to these changes, as indicated by their self-efficacy for self-care, is shaped by their previous health-related endeavours. Studies by Aarts (2007) and Mengel etal. (2016) emphasise that repeated behaviours often reduce risk perception, leading to behavioural automation. Consequently, consumers’ confidence in managing their health is influenced by past experiences that provide them with robust knowledge about product efficacy. Beyond product-specific expectations and societal influence, this fosters internal confidence among consumers towards repeat purchases, particularly when the core wellness benefits have been consistently realised through product usage. This reinforces the earlier assertion that retaining existing customers is often easier than acquiring new ones. Familiarity with regularly consumed supplements serves as a barrier to experimenting with new products. The interplay between past behaviours and the TPB paradigm, which emphasises enhanced self-care ability and controllability, underscores the importance of pharmaceutical practitioners prioritising product availability and convenience to modify established behaviours and perceptions. Mullan etal. (2016) highlighted the feasibility of behavioural change through interventions, suggesting a balance between delivering product value and the amount of change required for a new health-related consumption routine. For instance, this could mean consuming a similar number of tablets daily but with a product that offers superior nutritional value compared to its competitors. The overarching message for marketers is to focus on product excellence without undermining consumers’ perceived ability to manage their wellness.

On another front, the moderating effects of advertising on the relationships between attitude, subjective norm and consumption intention overshadow its direct influence on perceived behavioural control and past behaviours. Echoing the insights of Hussain etal. (2020), advertisem*nts play a pivotal role in nurturing long-term consumption by cultivating market interest, shaping individual identity and exerting societal pressure. Concurrently, they shape perceptions about a brand’s integrity and market positioning (Hussain etal., 2020). This nuanced relationship diverges from the conclusions drawn by Amer etal. (2019) and Cheah etal. (2019), which emphasise personal preferences. Essentially, consumers’ motivation to explore new pharmaceutical supplements is influenced by the messages advertised about product benefits and the societal buzz generated by these advertisem*nts. However, merely communicating a product’s value will not sway consumers if they lack confidence in or access to the said products. While a positive attitude towards advertised products can trigger an intention to try them, such motivation can diminish if the new product does not align with their convenience and self-efficacy needs. Hussain etal. (2020) affirmed that sustainable behavioural decisions depend on corresponding external factors. Thus, pharmaceutical companies must design strategies that foster positive perceptions towards heavily advertised health supplements, ensuring convenience and accessibility that align with their target market’s attributes.

Finally, the prominence of key variables within the TPB, as proposed by Ajzen (1991), highlights the intricate interplay between beliefs, perceptions and decisions. However, this framework tends to prioritise immediate gratification over long-term loyalty. The importance of product-related knowledge in shaping market expectations and competitiveness is underscored by Suchánek and Králová (2019). This suggests the predictive power of past behaviours on current consumption patterns, especially in a domain such as health care, where individual needs related to manageability, knowledge, hedonism, security and sustainability often take precedence over societal opinions. The TPB’s limitation in accounting for longitudinal experiences introduces past behaviours as an additional variable, offering a richer perspective for social research. Given the rapid evolution of pharmaceutical and health supplements (Ghazali etal., 2017), this presents a promising avenue for future academic research, which inevitably challenges the relevance of past consumption data in predicting future consumption patterns.

6. Limitations and conclusion

Several limitations emerged during the course of this research. One primary limitation was the use of non-probability sampling, which may have overlooked equal representation across different population subsets. Moreover, the quantitative approach used for data collection might not capture the depth and nuances that a qualitative method could offer in understanding the underlying reasons for respondents’ perceptions. The focus of this study on the Malaysian pharmaceutical market also raises questions about the broader applicability of its findings. Future research might benefit from using probability sampling methods, such as random sampling, in the broader market context to ensure more comprehensive industry representation. Incorporating qualitative analysis could also provide a richer understanding of consumers’ perspectives and preferences.

The core focus of this study extended the TPB paradigm to explore determinants of consumers’ intentions to consume pharmaceutical and health supplements, with an emphasis on the significance of past behaviours and advertising. As the pharmaceutical industry shifts from a seller-centric to a consumer-centric approach, past behaviours and advertisem*nts play crucial roles in ensuring market retention through previous experiences and sustainable positioning via repeated purchases and market expansion. In today’s age, where consumers are empowered with vast amounts of health care-related information, it is imperative for pharmaceutical brands to devise and execute targeted business strategies that cater to diverse consumption needs. The findings of this study guide practitioners towards leveraging specific environmental and cognitive factors to enhance the appeal of certain pharmaceutical and health supplements, aiming to attract first-time users. Building trust between suppliers and consumers and delivering value that exceeds users’ health care and pharmaceutical expectations becomes vital in nurturing and maintaining consumer loyalty.

Figures

Figure 1.

Conceptual framework

Figure 2.

Interaction plot of attitude × perceived impacts of advertising on intention to consume pharmaceutical and health supplements

Figure 3.

Interaction plot of subjective norm × perceived impacts of advertising on intention to consume pharmaceutical and health supplements

Respondents’ demographic profile

VariablesDescriptions%
GenderFemale52.0
Male48.0
AgeBelow 20 years old7.6
20–29 years old14.9
30–39 years old16.3
40–49 years old19.1
50–59 years old20.5
Above 60 years old21.6
RaceMalay46.9
Chinese34.4
Indian15.6
Others3.1
Highest academic qualificationPrimary school and below4.2
Secondary school6.9
Diploma18.1
Bachelor’s degree52.1
Master’s degree17.0
PhD1.7
Monthly incomeBelow RM5,00029.9
RM5,000 to RM9,99949.6
RM10,000 to RM19,99918.4
RM20,000 to RM29,9991.4
RM30,000 and above0.7
Source:

Authors’ own work

Convergent validity for the variables

VariablesItemsF.LAVE (>0.50)CR (>0.70)
Attitude50.714–0.8370.6130.888
Behavioural beliefs80.682–0.8460.5610.910
Normative beliefs100.741–0.8180.6270.944
Control beliefs100.789–0.9340.7100.961
Subjective norm30.823–0.8970.7380.894
Perceived behavioural control60.735–0.7900.5870.895
Past behaviour30.731–0.8340.5940.814
INT30.714–0.8260.6320.837
PIA60.617–0.8310.5040.858
Notes:

INT = intention to consume pharmaceutical and health supplements; PIA = perceived impacts of advertising; F.L = factor loadings; AVE = average variance extracted; CR = composite reliability

Source: Authors’ own work

Discriminant validity for the variables

VariablesAVEMSV123456789
Att0.6130.2560.783a
BB0.5610.2400.351b0.749
NB0.6270.2400.4860.4900.792
CB0.7100.2560.5060.1250.3660.842
SN0.7380.1000.2430.0850.2340.1270.859
PBC0.5870.1770.3450.1270.1230.3610.2970.766
PB0.5940.2500.4240.2680.2890.3350.2900.4210.771
INT0.6320.2500.4520.2210.2660.3820.3170.3720.5000.795
PIA0.5040.003−0.0330.002−0.0590.0320.0200.0410.057−0.0120.710
Notes:

Att = attitude; BB = behavioural beliefs; NB = normative beliefs; CB = control beliefs; SN = subjective norms; PBC = perceived behavioural control; PB = past behaviour; INT = intention to consume pharmaceutical and health supplements; PIA = perceived impacts of advertising; aThe diagonal entries (in bold) represent the squared root average variance extracted by the construct; b The off-diagonal entries (in italics) represent the variance shared between constructs

Source: Authors’ own work

Results of path analysis

HypothesesS.EC.R
H1: Behavioural beliefs positively influence consumers’ attitudes towards pharmaceutical and health supplements0.3515.217**
H2: Normative beliefs positively influence the subjective norm of using pharmaceutical and health supplements0.2363.674**
H3: Control beliefs positively influence consumers’ perceived behaviour control in using pharmaceutical and health supplements0.2754.342**
H4: Consumers’ attitude positively influences their intention to consume pharmaceutical and health supplements0.2914.452**
H5: Subjective norm positively influences consumers’ intention to consume pharmaceutical and health supplements0.1592.546*
H6: Perceived behavioural control positively influences consumers’ intention to consume pharmaceutical and health supplements0.1432.093*
H7: Past behaviour positively influences the intention to consume pharmaceutical and health supplements0.3174.392**
H8: Past behaviour positively influences perceived behavioural control0.3054.340**
Notes:

S.E = standardised estimate; C.R = critical ratio; ** and * denote significance at 99% and 95% confidence level, respectively

Source: Authors’ own work

Results of mediation analysis

IndirectConfidence interval
Hypothesis Lower boundUpper bound
H9: Past behaviour → PBC → INT0.0420.0040.261
Notes:

PBC = perceived behavioural control; INT = intention to consume pharmaceutical and health supplements; confidence intervals at 95%, bootstrap = 2000

Source: Authors’ own work

Results of moderating analysis

C.I
HypothesesβSEt-valueL.BU.B
Model 1 (H10a)
Constant4.4460.265167.601**4.3944.498
Attitude0.3480.5536.291**0.2390.457
Perceived impacts of advertising (PIA)0.0040.2780.131ns−0.0510.058
Interaction (attitude X PIA)0.1490.0652.286*0.0210.277
Model 2 (H10b)
Constant4.4400.028159.620**4.3864.495
Subjective norm0.1920.0414.675**0.1110.273
Perceived impacts of advertising (PIA)−0.0250.029−0.860ns−0.0830.032
Interaction (subjective norm X PIA)0.1370.0542.521*0.0290.243
Model 3 (H10c)
Constant5.7710.7247.969**4.3467.196
PBC−0.2940.164−1.794ns−0.6160.029
Perceived impacts of advertising (PIA)−0.8640.238−3.620*−1.334−0.394
Interaction (PBC X PIA)0.1930.0541.285ns−0.0872.995
Model 4 (H10d)
Constant4.1850.6716.234**2.8645.506
Past behaviour0.0640.1530.419ns−0.2370.366
Perceived impacts of advertising (PIA)−0.5190.219−2.364*−0.951−0.868
Interaction (past behaviour X PIA)0.1150.0500.829ns−0.1672.134
Notes:

PBC = perceived behavioural control; β = Coefficient Beta; SE = standard error; C.I = confidence intervals at 95%; L.B = lower bound; U.B = upper bound; **p-value < 0.001; *p-value < 0.05, ns = not significant

Source: Authors’ own work

Measurement item of the constructs in the study

VariablesItems
Behavioural beliefs1) Taking dietary supplement would help me to be healthy
2) Taking dietary supplement would not cost me a lot of money
3) Taking dietary supplement would prevent me from getting ill
4) Taking dietary supplement would make me feel about eating a balanced diet
5) Taking dietary supplement would be the best I can do for myself
6) Taking dietary supplement would be harmless
6) Taking dietary supplement would not cause unpleasant side-effects
8) Taking dietary supplement would not make me feel dependent
Normative beliefs1) My family would think I should take dietary supplements
2) My friends would think I should take dietary supplements
3) My family doctor would think I should take dietary supplements
4) Other health experts (e.g., pharmacist) would think I should take dietary supplements
5) Materials (e.g., articles, books and magazine) I read suggest that I should take supplements
6) My belief of taking dietary supplements is influenced by my family members
7) My belief of taking dietary supplements is influenced by my friends
8) My belief of taking dietary supplements is influenced by my doctor/pharmacist
9) My belief of taking dietary supplements is influenced by other health experts (e.g., pharmacist)
10) My belief of taking dietary supplements is influenced by health materials (e.g., articles, books and magazine)
Control beliefs1) Dietary supplements are cheap*
2) I always remember to take dietary supplements
3) I have enough knowledge about dietary supplements
4) Dietary supplements are readily available*
5) Dietary supplements are needed because my belief of taking dietary supplements is influenced by my poor food quality
6) These days, taking dietary supplements are essential
7) Dietary supplements have reasonable health claims
8) It is easy to see the benefits of taking dietary supplements
9) Having a leisure lifestyle influence my belief of taking dietary supplements
10) Being health conscious make me take dietary supplements
11) Problems eating a balance diet make me take dietary supplements
12) I feel that I am in control of taking dietary supplements
Attitude1) I think taking dietary supplements would be good
2) I think taking dietary supplements would be enjoyable*
3) I think taking dietary supplements would be positive
4) I think taking dietary supplements would be beneficial
5) I think taking dietary supplements would be pleasant
6) I think taking dietary supplements would be favorable
Subjective norm1) Most people I know take dietary supplements
2) People who are important to me would think I should take dietary supplements
3) People who are important to me would agree of my decision to take dietary supplements
Perceived behavioural control1) There are likely to be plenty of opportunities for me to take dietary supplements
2) There are factors outside my control that could prevent me from taking dietary supplements
3) If I wanted to, I could easily take dietary supplements from now on
4) It is very likely that I would be able to take dietary supplements from now on
5) Taking dietary supplements is easy
6) I have complete control over whether or not to take dietary supplements from now on
Past behaviour1) Eating dietary supplements is something I do every day
2) Eating dietary supplements every day is something I have been doing for a long time
3) Eating dietary supplements every day is something I do without thinking
Perceived impacts of advertising1) The advertisem*nts by dietary supplement companies are appealing to me
2) I pay attention to the messages in advertisem*nts by dietary supplement companies
3) The advertisem*nts by dietary supplement companies are important to me as a consumer
4) The advertisem*nts by dietary supplement companies provide me with useful information about their products
5) My preference for the brand of dietary supplement companies is influenced by their repeated advertisem*nts
6) The advertisem*nts by dietary supplement companies have an influence on me
Intention to consume pharmaceutical and health supplement1) I intend to take dietary supplements in the near future
2) I plan to take dietary supplements to maintain health
3) I want to take dietary supplements to improve my overall health
Note:

*represent items that have been dropped through CFA

Source: Authors’ own work

Appendix

Table A1

References

Aarts, H. (2007), “Health and goal-directed behaviour: the nonconscious regulation and motivation of goals and their pursuit”, Health Psychology Review, Vol. 1 No. 1, pp. 53-82.

Abrahamse, W. and Steg, L. (2009), “How do socio-demographic and psychological factors relate to households’ direct and indirect energy use and savings?”, Journal of Economic Psychology, Vol. 30 No. 5, pp. 711-720.

Adeline, A. and Delattre, E. (2017), “Some microeconometric evidence on the relationship between health and income”, Health Economics Review, Vol. 7 No. 1, doi: 10.1186/s13561-017-0163-5.

Ajzen, I. (1985), “From intentions to actions: a theory of planned behavior”, in Kuhl, J. and Beckmann, J. (Eds), Action Control. SSSP Springer Series in Social Psychology, Springer, Heidelberg, doi: 10.1007/978-3-642-69746-3_2.

Ajzen, I. (1991), “The theory of planned behaviour”, Organizational Behavior and Human Decision Processes, Vol. 50 No. 2, pp. 179-211.

Ajzen, I. (2001), “Nature and operation of attitudes”, Annual Review of Psychology, Vol. 52 No. 1, pp. 27-58.

Ajzen, I. (2005), Attitudes, Personality, and Behavior, 2nd ed. Open University Press, New York, NY.

Ajzen, I. (2006), “Constructing a theory of planned behavior questionnaire”, available at: https://people.umass.edu/aizen/pdf/tpb.measurement.pdf (accessed 12 November 2021).

Ajzen, I. (2011), “The theory of planned behaviour: reactions and reflections”, Psychology and Health, Vol. 26 No. 9, pp. 1113-1127.

Ajzen, I. and Fishbein, M. (1977), “Attitude-behavior relations: a theoretical analysis and review of empirical research”, Psychological Bulletin, Vol. 84 No. 5, pp. 888-918.

Ajzen, I. and Fishbein, M. (1980), “Understanding attitudes and predicting social behavior”, Journal of Experimental Social Psychology, Vol. 22 No. 5, pp. 453-474.

Alami, A., Sany, S.B.T., Lael-Monfared, E., Ferns, G.A., Tatari, M., Hosseini, Z. and Jafari, A. (2019), “Factors that influence dietary behavior toward iron and Vitamin D consumption based on the theory of planned behavior in Iranian adolescent girls”, Nutrition Journal, Vol. 18 No. 1, doi: 10.1186/s12937-019-0433-7.

Albani, V., Butler, L.T., Traill, W.B. and Kennedy, O.B. (2018), “Understanding fruit and vegetable consumption in children and adolescents. The contributions of affect, self-concept and habit strength”, Appetite, Vol. 120 No. 1, pp. 398-408.

Amer, A., Jani, S., Ibrahim, I. and Aziz, N.A.A. (2019), “Brand preferences in Muslimah fashion industries: an insight of framework development and research implications”, Humanities and Social Sciences Reviews, Vol. 7 No. 1, pp. 209-214.

American Marketing Association (2024), “Definition of advertisem*nt”, available at: https://indiankanoon.org/search/?formInput=definition%20of%20advertisem*nt (accessed 10 November 2021).

Bagozzi, R.P. and Edwards, E.A. (1998), “Goal setting and goal pursuit in the regulation of body weight”, Psychology and Health, Vol. 13 No. 4, pp. 593-621.

Bandura, A. (1982), “Self-efficacy mechanism in human agency”, American Psychologist, Vol. 37 No. 2, pp. 122-147.

Bharskar, G. and Siddheshwar, S. (2020), “Digital marketing in pharmaceutical sector”, International Journal of PharmaceuticaI Science and Health Care, Vol. 10 No. 2, pp. 1-7, doi: 10.26808/rs.ph.i10v2.01.

Bhutada, N.S. and Rollins, B.L. (2015), “Disease-specific direct-to-consumer advertising of pharmaceuticals: an examination of endorser type and gender effects on consumers’ attitudes and behaviors”, Research in Social and Administrative Pharmacy, Vol. 11 No. 6, pp. 891-900.

Bicchieri, C. (2006), The Grammar of Society: The Nature and Dynamics of Social Norms, Cambridge University Press, New York, NY.

Bohen, L.M., Cotter, K.A., Kravitz, R.L., Cello, P.C., Jr. and Garcia, E.F. (2016), “The theory of planned behavior as it predicts potential intention to seek mental health services for depression among college students”, Journal of American College Health, Vol. 64 No. 8, pp. 593-603.

Carfora, V., Cavallo, C., Caso, D., Del Giudice, T., De Devitiis, B., Viscecchia, R., Nardone, G. and Cicia, G. (2019), “Explaining consumer purchase behavior for organic milk: including trust and green self-identity within the theory of planned behaviour”, Food Quality and Preference, Vol. 76, pp. 1-9.

Cham, T.H. and Easvaralingam, Y. (2012), “Service quality, image and loyalty towards Malaysian hotels”, International Journal of Services, Economics and Management, Vol. 4 No. 4, pp. 267-281.

Cham, T.H., Cheah, J.H., Cheng, B.L. and Lim, X.J. (2022), “I am too old for this! Barriers contributing to the non-adoption of mobile payment”, International Journal of Bank Marketing, Vol. 40 No. 5, pp. 1017-1050.

Cham, T.H., Cheng, B.L., Low, M.P., Cheok. and J.B.C. (2020a), “Brand image as the competitive edge for hospitals in medical tourism”, European Business Review, Vol. 33 No. 1, pp. 31-59.

Cham, T.H., Cheng, B.L. and Ng, C.K.Y. (2020b), “Cruising down millennials’ fashion runway: a cross-functional study beyond pacific borders”, Young Consumers, Vol. 22 No. 1, pp. 28-67.

Cham, T.H., Lim, Y.-M. and Sigala, M. (2021), “Marketing and social influences, hospital branding, and medical tourists’ behavioural intention: before- and after-service consumption perspective”, International Journal of Tourism Research, Vol. 24 No. 1, pp. 140-157.

Cham, T.H., Lim, Y.M., Aik, N.C. and Tay, A.G.M. (2016), “Antecedents of hospital brand image and the relationships with medical tourists’ behavioral intention”, International Journal of Pharmaceutical and Healthcare Marketing, Vol. 10 No. 4, pp. 412-431.

Cham, T.H., Ng, C.K.Y., Lim, Y.M. and Cheng, B.L. (2018), “Factors influencing clothing interest and purchase intention: a study of generation Y consumers in Malaysia”, The International Review of Retail, Distribution and Consumer Research, Vol. 28 No. 2, pp. 174-189.

Cheah, J.-H., Ting, H., Cham, T.H. and Memon, M.A. (2019), “The effect of selfie promotion and celebrity endorsed advertisem*nt on decision-making processes: a model comparison”, Internet Research, Vol. 29 No. 3, pp. 552-577.

Chen, C.Y., Huang, H.Y., Tseng, F.Y., Chiu, Y.C. and Chen, W.J. (2017), “Media alcohol advertising with drinking behaviors among young adolescents in Taiwan”, Drug and Alcohol Dependence, Vol. 177, pp. 145-152.

Cheng, O.Y., Yam, C.L.Y., Cheung, N.S., Lee, P.L.P., Ngai, M.C. and Lin, C.-Y. (2019), “Extended theory of planned behavior on eating and physical activity”, American Journal of Health Behavior, Vol. 43 No. 3, pp. 569-581. doi: 10.5993/AJHB.43.3.11.

Chetioui, Y., Butt, I. and Lebdaoui, H. (2021), “Facebook advertising, eWOM and consumer purchase intention-evidence from a collectivistic emerging market”, Journal of Global Marketing, Vol. 34 No. 3, pp. 220-237.

Choe, J.Y. and Kim, S.S. (2018), “Effects of tourists’ local food consumption value on attitude, food destination image, and behavioral intention”, International Journal of Hospitality Management, Vol. 71, pp. 1-10.

Cialdini, R.B., Kallgren, C.A. and Reno, R.R. (1991), “A focus theory of normative conduct: a theoretical refinement and reevaluation of the rôle of norms in human behaviour”, Advances in Experimental Social Psychology, Vol. 24, pp. 201-234.

Conner, M., Kirk, S.F.L., Cade, J.E. and Barrett, J.H. (2001), “Why do women use dietary supplements? The use of the theory of planned behaviour to explore beliefs about their use”, Social Science and Medicine, Vol. 52 No. 4, pp. 621-633.

Conner, M., Kirk, S.F.L., Cade, J.E. and Barrett, J.H. (2003), “Environmental influences: factors influencing a woman’s decision to use dietary supplements”, The Journal of Nutrition, Vol. 133 No. 6, pp. 1978S-1982S.

Deutsch, M. and Gerard, H.B. (1955), “A study of normative and informational social influences upon individual judgment”, The Journal of Abnormal and Social Psychology, Vol. 51 No. 3, pp. 629-636.

Dickinson, A. and MacKay, D. (2014), “Health habits and other characteristics of dietary supplement users: a review”, Nutrition Journal, Vol. 13 No. 1, p. 14, doi: 10.1186/1475-2891-13-14.

Drewelies, J., Gerstorf, D. and Heckhausen, J. (2018), “The importance of daily control beliefs for successful and healthy aging”, Innovation in Aging, Vol. 2 No. 1, p. 67.

Eagly, A.H. and Chaiken, S. (2007), “The advantages of an inclusive definition of attitude”, Social Cognition, Vol. 25 No. 5, pp. 582-602.

Esteves Pairazaman, A.T., Ibarra Fretell, W.G., Huapaya Cuzcano, J.N., De La Cruz Rojas, R.A., Esteves Cardenas, V.L., Rincon Chavez, J., Ochoa Ayvar, L. and Palacios Valverde, F. (2022), “Pharmaceutical advertising and the consumption of over the counter (OTC) medicines in users of the SUPERFAR drugstore in barrios Altos-Cercado de Lima, 2022”, F1000Research, Vol. 11, p. 637, doi: 10.12688/f1000research.121666.1.

Fam, K.S., Cheng, B.L., Cham, T.H., Tan, C.Y.M. and Ting, H. (2023), “The role of cultural differences in customer retention: evidence from the high-contact service industry”, Journal of Hospitality and Tourism Research, Vol. 47 No. 1, pp. 257-288.

Fang, W.T., Ng, E., Wang, C.M. and Hsu, M.L. (2017), “Normative beliefs, attitudes, and social norms: people reduce waste as an index of social relationships when spending leisure time”, Sustainability, Vol. 9 No. 10, pp. 1-18.

Fleșeriu, C., Cosma, S.A. and Bocăneț, V. (2020), “Values and planned behaviour of the Romanian organic food consumer”, Sustainability, Vol. 12 No. 5, p. 1722, doi: 10.3390/su12051722.

Fornell, C. and Larcker, D.F. (1981), “Structural equation models with unobservable variables and measurement error: algebra and statistics”, Journal of Marketing Research, Vol. 18 No. 3, pp. 382-388.

Ghazali, E., Soon, P.C., Mutum, D.S. and Nguyen, B. (2017), “Health and cosmetics: investigating consumers’ values for buying organic personal care products”, Journal of Retailing and Consumer Services, Vol. 39, pp. 154-163.

Gist, M. and Mitchell, T. (1992), “Self-efficacy: a theoretical analysis of its determinants and malleability”, The Academy of Management Review, Vol. 17 No. 2, pp. 183-211.

Godin, G., Valois, P. and Lepage, L. (1993), “The pattern of influence of perceived behavioral control upon exercising behavior: an application of Ajzen’s theory of planned behaviour”, Journal of Behavioral Medicine, Vol. 16 No. 1, pp. 81-102.

Godrich, S.L., Loewen, O.K., Blanchet, R., Willows, N. and Veugelers, P. (2019), “Canadian children from food insecure households experience low self-esteem and self-efficacy for healthy lifestyle choices”, Nutrients, Vol. 11 No. 3, p. 675, doi: 10.3390/nu11030675.

Gollwitzer, P.M. and Oettingen, G. (1998), “The emergence and implementation of health goals”, Psychology and Health, Vol. 13 No. 4, pp. 687-715.

Gong, Z., Han, Z., Li, X., Yu, C. and Reinhardt, J.D. (2019), “Factors influencing the adoption of online health consultation services: the role of subjective norm, trust, perceived benefit, and offline habit”, Frontiers in Public Health, Vol. 7, p. 268, doi: 10.3389/fpubh.2019.00286.

Grand View Research, Inc (2019a), “Dietary supplements market size analysis report by ingredient (botanicals, vitamins), by form, by application (immunity, cardiac health), by end user, by distribution channel, and segment forecasts, 2019–2025”, available at: www.grandviewresearch.com/industry-analysis/dietary-supplements-market (accessed 14 November 2021).

Grand View Research, Inc (2019b), “Dietary supplements market worth $194.63 billion by 2025 | CAGR 7.8%”, available at: www.grandviewresearch.com/press-release/global-dietary-supplements-market (accessed 14 November 2022).

Gupta, V., Khanna, K. and Gupta, R. (2018), “A study on the street food dimensions and its effects on consumer attitude and behavioural intentions”, Tourism Review, Vol. 73 No. 3, pp. 374-388.

Hagger, M.S., Polet, J. and Lintunen, T. (2018), “The reasoned action approach applied to health behavior: rôle of past behavior and tests of some key moderators using meta-analytic structural equation modelling”, Social Science and Medicine, Vol. 213, pp. 85-94.

Hair, J.F.J., Black, W.C., Babin, B.J., Anderson, R.E. and Tatham, R.L. (2010), Multivariate Data Analysis a Global Perspective, Pearson, NJ.

Hamilton, K., van Dongen, A. and Hagger, M.S. (2020), “An extended theory of planned behavior for parent-for-child health behaviors: a meta-analysis”, Health Psychology, Vol. 39 No. 10, pp. 863-878. doi: 10.1037/hea0000940.

Hanson, J.D., Nothwehr, F., Yang, J.Z.G. and Romitti, P. (2015), “Indirect and direct perceived behavioral control and the rôle of intention in the context of birth control behavior”, Maternal and Child Health Journal, Vol. 19 No. 7, pp. 1535-1542.

Hassali, A.M. and Shakeel, S. (2020), “Unused and expired medications disposal practices among the general public in Selangor, Malaysia”, Pharmacy, Vol. 8 No. 4, p. 196.

Hayes, A.F. (2013), “Introduction to mediation, moderation, and conditional process analysis”, available at: www.personal.psu.edu/jxb14/M554/specreg/templates.pdf (accessed 12 November 2021).

Hoque, M.E., Hassan, M.K., Hashim, N.M.H.N. and Zaher, T. (2019), “Factors affecting Islamic banking behavioral intention: the moderating effects of customer marketing practices and financial considerations”, Journal of Financial Services Marketing, Vol. 24 Nos 1/2, pp. 44-58.

Huang, X., Dai, S. and Xu, H. (2020), “Predicting tourists’ health risk preventative behaviour and travelling satisfaction in Tibet: combining the theory of planned behaviour and health belief model”, Tourism Management Perspectives, Vol. 33, p. 100589, doi: 10.1016/j.tmp.2019.100589.

Hussain, S., Melewar, T.C., Priporas, C.V. and Foroudi, P. (2020), “Examining the effects of advertising credibility on brand credibility, corporate credibility and corporate image: a qualitative approach”, Qualitative Market Research: An International Journal, Vol. 23 No. 4, pp. 549-573.

Jennings, F.J. (2019), “Where to turn? The influence of information source on belief and behaviour”, Journal of Risk Research, Vol. 22 No. 7, pp. 909-918.

Johe, M.H. and Bhullar, N. (2016), “To buy or not to buy: the rôles of self-identity, attitudes, perceived behavioral control and norms in organic consumerism”, Ecological Economics, Vol. 128, pp. 99-105.

Kasri, R.A., Ahsan, A., Widiatmoko, D. and Hati, S.R.H. (2023), “Intention to consume halal pharmaceutical products: evidence from Indonesia”, Journal of Islamic Marketing, Vol. 14 No. 3, pp. 735-756, doi: 10.1108/JIMA-06-2021-0192.

Kim, H.W., Kim, Y.S., Choi, H.M. and Ham, S. (2018), “Relationships among behavioral beliefs, past behaviors, attitudes and behavioral intentions toward healthy menu selection”, Nutrition Research and Practice, Vol. 12 No. 4, pp. 348-354.

Kim, H.Y. and Chung, J.E. (2011), “Consumer purchase intention for organic personal care products”, Journal of Consumer Marketing, Vol. 28 No. 1, pp. 40-47.

Kim, Y. and Eves, A. (2012), “Construction and validation of a scale to measure tourist motivation to consume local food”, Tourism Management, Vol. 33 No. 6, pp. 1458-1467.

Kiriakidis, S. (2015), “Theory of planned behaviour: the intention-behaviour relationship and the perceived behavioural control (PBC) relationship with intention and behaviour”, International Journal of Strategic Innovative Marketing, Vol. 3, pp. 40-51.

Kofoed, C.L.F., Christensen, J., Dragsted, L.O., Tjønneland, A. and Roswall, N. (2015), “Determinants of dietary supplement use – healthy individuals use dietary supplements”, British Journal of Nutrition, Vol. 113 No. 12, pp. 1993-2000.

Koh, M.Z.Y. and Goh, Y.-N. (2021), “Willingness to pay for traditional, complementary and alternative medicine (TCAM) among Malaysian adults”, International Journal of Pharmaceutical and Healthcare Marketing, Vol. 15 No. 2, pp. 312-330, doi: 10.1108/IJPHM-09-2019-0066.

Kulik, N.L., Moore, E.W., Centeio, E.E., Garn, A.C., Martin, J.J., Shen, B., Somers, C.L. and McCaughtry, N. (2019), “Knowledge, attitudes, self-efficacy, and healthy eating behavior among children: results from the building healthy communities trial”, Health Education and Behavior, Vol. 46 No. 4, pp. 602-611.

Lachman, M.E., Neupert, S.D. and Agrigoroaei, S. (2011), The Relevance of Control Beliefs for Health and Aging, Schaie, K.W. and Willis, S.L. (Eds), Handbook of the psychology of aging, Academic Press, Elsevier, Massachusetts, pp. 175-190.

Lee, C.F., Chiang, I.C., Hwang, F.M., Chi, L.K. and Lin, H.M. (2016), “Using the theory of planned behavior to predict pregnant women’s intention to engage in regular exercise”, Midwifery, Vol. 42, pp. 80-86.

Lim, Y.M. and Cham, T.H. (2015), “A profile of the internet shoppers: evidence from nine countries”, Telematics and Informatics, Vol. 32 No. 2, pp. 344-354.

Linden, S.V.D. (2015), “Exploring beliefs about bottled water and intentions to reduce consumption: the dual-effect of social norm activation and persuasive information”, Environment and Behavior, Vol. 47 No. 5, pp. 526-550.

Loebnitz, N. and Grunert, K.G. (2015), “The effect of food shape abnormality on purchase intentions in China”, Food Quality and Preference, Vol. 40, pp. 24-30.

Low, M.P., Cham, T.H., Chang, Y.S. and Lim, X.J. (2021), “Advancing on weighted PLS-SEM in examining the trust-based recommendation system in pioneering product promotion effectiveness”, Quality and Quantity, Vol. 57 No. S4, pp. 1-30.

Malaysian Ministry of Finance (2018), “Budget speech 2018”, available at: www.treasury.govt.nz/publications/budget-speech/budget-speech-2018 (accessed 13 November 2021).

Malek, L., Umberger, W.J., Makrides, M. and ShaoJia, Z. (2017), “Predicting healthy eating intention and adherence to dietary recommendations during pregnancy in Australia using the theory of planned behaviour”, Appetite, Vol. 116, pp. 431-441.

Malhotra, N.K., Kim, S.S. and Patil, A. (2006), “Common method variance in IS research: a comparison of alternative approaches and a reanalysis of past research”, Management Science, Vol. 52 No. 12, pp. 1865-1883.

Mengel, F., Tsakas, E. and Vostroknutov, A. (2016), “Past experience of uncertainty affects risk aversion”, Experimental Economics, Vol. 19 No. 1, pp. 151-176.

Mister, S. (2017), “Supplements today: why the future looks bright”, available at: www.newhope.com/sites/newhope360.com/files/Expo-West-2017-Supplements-Today-1.pdf (accessed 10 November 2021).

Mogaji, E. and Danbury, A. (2017), “Making the brand appealing: advertising strategies and consumers’ attitude towards UK retail bank brands”, Journal of Product and Brand Management, Vol. 26 No. 6, pp. 531-544.

Montaño, D.E. and Kasprzyk, D. (2015), “Theory of reasoned action, theory of planned behavior, and the integrated behavioral model”, in Glanz, K., Rimer, B.K.,Viswanath, K.V. (Eds), Health Behavior: Theory, Research, and Practice, Jossey-Bass, San Francisco, CA, pp. 95-124.

Mullan, B., Henderson, J., Kothe, E., Allom, V., Orbell, S. and Hamilton, K. (2016), “The rôle of habit and perceived control on health behavior among pregnant women”, American Journal of Health Behavior, Vol. 40 No. 3, pp. 291-301.

Nardi, V.A.M., Jardim, W.C., Ladeira, W. and Santini, F. (2019), “Predicting food choice: a meta-analysis based on the theory of planned behaviour”, British Food Journal, Vol. 121 No. 10, pp. 2250-2264, doi: 10.1108/BFJ-08-2018-0504.

National Pharmaceutical Regulatory Agency (2024), “Health supplements”, available at: www.npra.gov.my/index.php/en/health-supplement-main-page.html (accessed 16 February 2023).

Ng, M., Fleming, T., Robinson, M., Thomson, B., Graetz, N. and Gakidou, E. (2014), “Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the global burden of disease study 2013”, The Lancet, Vol. 384 No. 9945, pp. 766-781.

Norman, P. and Conner, M. (2006), “The theory of planned behaviour and binge drinking: assessing the moderating role of past behaviour within the theory of planned behavior”, British Journal of Health Psychology, Vol. 11 No. 1, pp. 55-70.

Ouellette, J.A. and Wood, W. (1998), “Habit and intention in everyday life: the multiple processes by which past behavior predicts future behaviour”, Psychological Bulletin, Vol. 124 No. 1, pp. 54-74.

Pharmaceutical Association of Malaysia (2024), “Industry overview”, available at: www.phama.org.my/index.cfm?&menuid=17#:∼:text=As%20an%20industry%2C%20the%20pharmaceutical,total%20market%20value%20of%20MYR7 (accessed 7 February 2023).

Podsakoff, P.M., MacKenzie, S.B., Lee, J.Y. and Podsakoff, N.P. (2003), “Common method biases in behavioral research: a critical review of the literature and recommended remedies”, Journal of Applied Psychology, Vol. 88 No. 5, pp. 879-903.

PwC (2019), “Greater Kuala Lumpur: Bridge between Asia and the world”, available at: www.pwc.com/my/en/assets/publications/170703-greater-kl-bridge-between-asia-and-the-world.pdf (accessed 10 November 2021).

Qi, X. and Ploeger, A. (2019), “Explaining consumers’ intentions towards purchasing green food in Qingdao, China: the amendment and extension of the theory of planned behavior”, Appetite, Vol. 133, pp. 414-422, doi: 10.1016/j.appet.2018.12.004.

Rivis, A. and Sheeran, P. (2003), “Descriptive norms as an additional predictor in the theory of planned behaviour: a meta-analysis”, Current Psychology, Vol. 22 No. 3, pp. 218-233.

Rovira, M.A., Grau, M., Castańer, O., Covas, M.I. and Schrőder, H. (2013), “Dietary supplement use and health-related behaviors in Mediterranean population”, Journal of Nutrition Education and Behavior, Vol. 45 No. 5, pp. 386-391.

Salim, S. (2023), “Massive RM552.3 million vaccine provision pulls Pharmaniaga into deep losses, triggers PN17”, available at: www.theedgemarkets.com/node/656995 (assessed 23 March 2023).

Sameti, A. and Khalili, H. (2017), “Influence of in-store and out-of-store creative advertising strategies on consumer attitude and purchase intention”, Intangible Capital, Vol. 13 No. 3, pp. 523-547.

Sandberg, T. and Conner, M. (2008), “Anticipated regret as an additional predictor in the theory of planned behaviour: a meta-analysis”, British Journal of Social Psychology, Vol. 47 No. 4, pp. 589-606.

Saunders, M., Lewis, P. and Thornhill, A. (2012), Research Methods for Business Students, 6th ed., Pearson, Harlow.

Schultz, P.W., Messina, A., Tronu, G., Limas, E.F., Gupta, R. and Estrada, M. (2014), “Personalised normative feedback and the moderating rôle of persona; norms: a field experiment to reduce residential water consumption”, Environment and Behavior, Vol. 48 No. 5, pp. 686-710.

Sheeran, P., Maki, P., Montanaro, A., Avishai-Yitshak, A., Bryan, A., Klein, A., Miles, W.M.P., Rothman, E. and Alexander, J. (2016), “The impact of changing attitudes, norms, and self-efficacy on health-related intentions and behavior: a meta-analysis”, Health Psychology, Vol. 35 No. 11, pp. 1178-1188.

Sheeran, P., Milne, S., Webb, T.L. and Gollwitzer, P.M. (2005), “Implementation intentions and health behaviour”, in Conner, M. and Norman, P. (Eds), Predicting Health Behaviour, Open University Press, McGraw-Hill Education, UK, pp. 276-323.

Sheppard, B.M., Hartwick, J. and Warshaw, P.R. (1988), “The theory of reasoned action: a meta-analysis of past research with recommendations for modification and future research”, Journal of Consumer Research, Vol. 15 No. 3, pp. 325-343.

Smith, J.R., Terry, D.J., Manstead, A.S., Louis, W.R., Kotterman, D. and Wolfs, J. (2007), “Interaction effects in the theory of planned behavior: the interplay of self‐identity and past behavior”, Journal of Applied Social Psychology, Vol. 37 No. 11, pp. 2726-2750.

Smith, J.R., Terry, D.J., Manstead, A.S., Louis, W.R., Kotterman, D. and Wolfs, J. (2008), “The attitude-behavior relationship in consumer conduct: the rôle of norms, past behavior, and self-identity”, The Journal of Social Psychology, Vol. 148 No. 3, pp. 311-333.

Sommer, L. (2011), “The theory of planned behaviour and the impact of past behaviour”, International Business and Economics Research Journal, Vol. 10 No. 1, pp. 91-110.

Soveri, A., Karlsson, L.C., Antfolk, J., Lindfelt, M. and Lewandowsky, S. (2021), “Unwillingness to engage in behaviors that protect against COVID-19: the role of conspiracy beliefs, trust, and endorsem*nt of complementary and alternative medicine”, BMC Public Health, Vol. 21 No. 1, p. 684, doi: 10.1186/s12889-021-10643-w.

Sriram, U., Morgan, E.H., Graham, M.L., Folta, S.C. and Seguin, R.A. (2018), “Support and sabotage: a qualitative study of social influences on health behaviors among rural adults”, The Journal of Rural Health, Vol. 34 No. 1, pp. 88-97.

Statista (2023), “Pharmaceuticals – Malaysia”, available at: www.statista.com/outlook/hmo/pharmaceuticals/malaysia (accessed 7 February 2023).

Suchánek, P. and Králová, M. (2019), “Customer satisfaction, loyalty, knowledge and competitiveness in the food industry”, Economic Research-Ekonomska Istraživanja, Vol. 32 No. 1, doi: 10.1080/1331677X.2019.1627893.

Sultan, P., Tarafder, T., Pearson, D. and Henryks, J. (2020), “Intention-behaviour gap and perceived behavioural control-behaviour gap in theory of planned behaviour: moderating roles of communication, satisfaction and trust in organic food consumption”, Food Quality and Preference, Vol. 81, p. 103838, doi: 10.1016/j.foodqual.2019.103838.

Tangkiatkumjai, M., Boardman, H. and Walker, D.M. (2020), “Potential factors that influence usage of complementary and alternative medicine worldwide: a systematic review”, BMC Complementary Medicine and Therapies, Vol. 20 No. 1, p. 363, doi: 10.1186/s12906-020-03157-2.

Teng, C.C. and Wang, Y.M. (2015), “Decisional factors driving organic food consumption”, British Food Journal, Vol. 117 No. 3, pp. 106-1081.

Ting, C.Y., Ismail, M.B., Ting, H., Bahri, S.B., Sidek, A.B., Idris, S.F.B., Tan, R.T.H., Abu Seman, S.S.B., Sethiaram, M.R.A., Md Ghazali, M.H.B., Lim, Q.H., Mohd Zaki, M.S.B. and Sohot, M.S.B. (2019), “Consumer behaviour towards pharmaceutical products: a model development”, International Journal of Pharmaceutical and Healthcare Marketing, Vol. 13 No. 3, pp. 387-402, doi: 10.1108/IJPHM-07-2018-0040.

Towler, G. and Shepherd, R. (1991), “Modification of Fishbein and Ajzen’s theory of reasoned action to predict chip consumption”, Food Quality and Preference, Vol. 3 No. 1, pp. 37-45.

Wang, X. and Wei, Y. (2012), “Social media peer communication and impacts on purchase intentions: a consumer socialization framework”, Journal of Interactive Marketing, Vol. 26 No. 4, pp. 198-208.

White, K.M., Robinson, N.G., Young, R.M., Anderson, P.J., Hyde, M.K. and Greenbank, S. (2008), “Testing an extended theory of planned behaviour to predict young people’s sun safety in a high risk area”, British Journal of Health Psychology, Vol. 13 No. 3, pp. 435-448.

Widyanto, H.A. and Sitohang, I.A.T. (2022), “Muslim millennial’s purchase intention of halal-certified cosmetics and pharmaceutical products: the mediating effect of attitude”, Journal of Islamic Marketing, Vol. 13 No. 6, pp. 1373-1394, doi: 10.1108/jima-04-2020-0117.

Yang, S., Li, L. and Zhang, J.M. (2018), “Understanding consumers’ sustainable consumption intention at China’s double-11 online shopping festival: an extended theory of planned behavior model”, Sustainability, Vol. 10 No. 6, pp. 1-19.

Yuan, F., Qian, D.F., Huang, C.L., Tian, M.M., Xiang, Y.X., He, Z.F. and Feng, Z.C. (2015), “Analysis of awareness of health knowledge among rural residents in Western China”, BMC Public Health, Vol. 15 No. 1, pp. 1-8.

Yusoff, M.F.M. (2015), “National Health and Morbidity Survey 2015”, available at: www.moh.gov.my/moh/resources/NHMS2015-VolumeIII.pdf (accessed 12 November 2021).

Acknowledgements

The authors would like to express their sincere gratitude to the editors and the anonymous reviewers for their valuable time, insightful comments, and constructive feedback, which greatly contributed to improving the quality and clarity of this manuscript. Their expertise and dedication are deeply appreciated. Moreover, one of the authors, Michael M. Dent, unfortunately passed away prior to the publication of this article. His contributions to this research are greatly appreciated and acknowledged.

Corresponding author

Tat-Huei Cham can be contacted at: jaysoncham@gmail.com

About the authors

Boon-Liat Cheng is an Associate Professor at the Sunway University, Malaysia. He has more than 20 years of experience working in tertiary institutions in Malaysia. He lectures on various subjects in marketing and management at both undergraduate and postgraduate levels. His research interests are in the fields of services marketing, customer relationship management, consumer behaviour, entrepreneurship and marketing management.

Tat-Huei Cham is currently a Professor and the Dean at the UCSI Graduate Business School, UCSI University, Malaysia. Cham also holds the position of Visiting Professor at Tashkent State University of Economics in Uzbekistan, Chongqing University of Arts and Sciences in China, Symbiosis International (Deemed University) in India, and Krirk University of Thailand. His research interests encompass medical tourism, service marketing, advertising, consumer behaviour, branding and technology management. His work has been published in various international journals, including the Journal of Hospitality Marketing and Management, Journal of Hospitality and Tourism Research, Journal of Business Research, International Journal of Tourism Research, Internet Research, Journal of Retailing and Consumer Services and International Journal of Bank Marketing, among others. Besides serving as a member of the editorial review board for various reputable international journals, Professor Cham is also actively involved in training, consultancy projects and supervision of postgraduate students.

Zijie Gao is currently a lecturer at Southwest Medical University in China. Her research interests focus on household finance, behavioural economics, financial management and technology management. She was awarded the Second Prize for Young Teachers of Medical Insurance in China’s National Colleges and Universities and has authored several textbooks, including “Comprehensive Supporting Reform Practice and Innovation of China’s Elderly Services”, “Management of Health Insurance Funds” and “Health Insurance Market Survey and Forecast”. She is also actively involved in several Chinese national teaching and research projects.

Mohd Fairuz bin Abd Rahim is a Senior Lecturer at the Faculty of Management, Multimedia University (MMU), Malaysia. Fairuz accumulates more than 20 years of teaching and training experience and is a certified HRD Corp trainer. He has trained thousands of participants locally and internationally. His research interests are in the areas of design thinking human resource development, organisational learning, learning organisation, strategic management and entrepreneurship.

Teck Chai Lau is a Senior Associate Professor at the Entrepreneurship and Enterprise Hub, XJTLU Entrepreneur College (Taicang), China. He has published extensively in books, book chapters, international journals and conference proceedings. His works have also been widely cited internationally. Lau is currently the Malaysian Qualifications Agency (MQA) assessor in administration, management and business, and external examiner and PhD/MPhil examiner for several universities and professional bodies in Malaysia.

Michael M. Dent is a Professorial Teaching Fellow at Sunway Business School, Malaysia. He has spent most of his working career within the travel and logistics industries. Current skill set primarily based upon strategic marketing and complex international project management. He initially trained as a systems analyst, he holds a research degree in economics from London Business School and an MBA. His PhD was in management philosophy applying an action research methodology within a critical theoretical framework. His main research interests are in the fields of Islamic marketing, management philosophy and cultural aspects of marketing.

Managing my own health! An ancillary outlook on pharmaceutical and health supplements consumption (2024)
Top Articles
Latest Posts
Article information

Author: Aracelis Kilback

Last Updated:

Views: 6190

Rating: 4.3 / 5 (64 voted)

Reviews: 87% of readers found this page helpful

Author information

Name: Aracelis Kilback

Birthday: 1994-11-22

Address: Apt. 895 30151 Green Plain, Lake Mariela, RI 98141

Phone: +5992291857476

Job: Legal Officer

Hobby: LARPing, role-playing games, Slacklining, Reading, Inline skating, Brazilian jiu-jitsu, Dance

Introduction: My name is Aracelis Kilback, I am a nice, gentle, agreeable, joyous, attractive, combative, gifted person who loves writing and wants to share my knowledge and understanding with you.