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This study aims to examine consumer purchase behavior towards E-pharmacy from a consumption value perspective. For this purpose, the influence of consumption values on consumer purchase intention is evaluated. Further, the role of consumer involvement in online purchase setup in the context of E-pharmacy is observed using moderation analysis.

The study used a cross-sectional survey design, wherein the respondents in the Delhi-National Capital Region of India were approached using a purposive sampling method. Responses received through the structured questionnaire were subjected to analysis using Smart PLS Version 4.0.9.6.

Results indicate a significant influence of functional (partial), emotional, social and conditional values on consumers’ purchase intention. Moreover, the moderation effect of consumer online involvement is seen in functional value (partial) and emotional value–purchase intention relationships.

This study reinforces the use of the consumption value perspective to explain consumer purchase behavior toward information system (IS)-based platforms such as E-pharmacy. Some of the results, in this context, that did not establish significant relationships between a given form of consumption values and purchase intention, open up the possibilities of retesting the said relationships in the future. The researchers would realize the benefit of such examinations, as the E-pharmacy sector further evolves and matures in the future. Further, the successful establishment of a significant moderating role of consumer online involvement in certain consumption value-purchase intention relationships such as safety, perceived convenience and comfort value paves the way for future researchers to explore consumer online involvement for a similar role in IS research.

This study provides cues for E-pharmacy marketers to focus on enhancing product safety, usage comfort, users’ social image and awareness toward health consciousness that will help build purchase intention and assist in overcoming the challenges in the long run. It further suggests that marketers should have a strong re-look at forming price value perceptions and they must enhance the interactive features of the company’s mobile apps/websites with the help of the emerging artificial intelligence tools to re-orient the epistemic value and perceived convenience value toward E-pharmacy services. Furthermore, this study recommends following digital marketing practices to increase consumer online involvement, which would help strengthen perceived convenience formation that would otherwise be difficult to attain for E-pharmacy consumers.

This study provides novel insight into consumer purchase intention evaluation through the consumption value perspective in an emerging E-pharmacy market. The consumption value frame of reference helps to understand consumers’ buying rationale that affects their buying behavior beyond the initial adoption. Further, the moderation analysis of consumer online involvement provides an additional dimension to understanding consumer buying behavior concerning E-pharmacy.

This study aims to investigate the factors influencing the adoption of online pharmacies in Qatar using the unified theory of acceptance and use of technology-2 (UTAUT-2) framework. Specifically, this study examines the impact of performance expectancy, effort expectancy, social influence, hedonic motivation, habit, technology trust, perceived risk and users’ level of awareness of behavioral intention, which in turn affects the adoption of online pharmacies. Furthermore, this study explores the moderating role of word-of-mouth (WOM) recommendations on the relationship between behavioral intention and online pharmacy adaptation.

This study adopted a descriptive, quantitative approach to investigate the UTAUT-2 model in the context of consumers’ adoption of e-pharmacy in Qatar. Through convenience sampling, 455 responses were collected from regular customers accessing online pharmacy services. The data were analyzed using Smart-PLS 3.2 software to examine the hypothesized relationships.

The results showed that WOM recommendations significantly enhanced the relationship between behavioral intention and adopting online pharmacies in Qatar. This study identified the factors that may hinder or enable the adoption of online pharmacies, including performance expectancy, effort expectancy, social influence, hedonic motivation, habit, technology trust, perceived risk and users’ level of awareness.

This study contributes to the existing literature on technology acceptance by extending the UTAUT-2 model and recognizing three additional variables (perceived risk, technology trust and technology awareness). These need to be investigated against UTAUT-2 variables to detect the significance of their impact on adapting the e-health concept in Qatar. The potential for cultural change to accelerate the adoption of online pharmacies is highlighted. Future research should explore the role of moral and cultural factors in technology adoption.

The results underscore the economic and social significance of e-pharmacy adoption, particularly within the context of a developing country. Considering the positive intentions expressed by individuals toward e-pharmacy, it becomes crucial for managers and decision-makers to make strategic choices to address any challenges that may arise. Policymakers are encouraged to enhance their services and implement various development initiatives to expand e-pharmacy accessibility and availability.

This study builds upon previous research on e-commerce in the pharmaceutical industry and provides a comprehensive understanding of customers in developing countries. Extending the UTAUT-2 model and identifying additional variables contributes to the knowledge of e-health concepts in Qatar. The findings have practical implications for developing strategies to promote online pharmacy adoption in Qatar and other countries.

Despite the digital penetration in the larger consumer market, the adoption of e-pharmacy services is reported to be very low in emerging economies like India. In this context, the purpose of the current study is to examine the influence of consumers’ risk perception on their intention to purchase medicines/pharmaceuticals through online pharmacies. Furthermore, the study seeks to understand to what extent the perceived usefulness of online pharmacy mediates the relationship between different dimensions of perceived risk and purchase intention.

The study was conducted among a sample of 800 consumers in India who are familiar with online e-commerce. To ensure the homogeneity of the sample and hence the generalizations of results, inclusion criteria were set as not to include respondents who have made a prior purchase through e-pharmacy services. Self-reporting questionnaires were administered among the respondents, who were selected through a purposive and convenience sampling method. Measurement modeling and path analysis were done using IBM SPSS 23.0 and AMOS 24.0 to test the hypotheses and draw inferences.

Results revealed that consumers’ risk perceptions, such as financial, product, source and privacy risks, had a significant direct and indirect effect on their intention to purchase medicines through online pharmacies. India is the major universal provider of generic medicines. The insights gained from this study can help policymakers, corporates, consumers, distributors, retailers and marketing managers to frame effective strategies for improved usage of online platforms for procuring medications.

This study is pioneering in conceptualizing and testing a theoretical model linking consumers’ risk perceptions, perceived usefulness and intention to purchase through online pharmacies, particularly in the context of an emerging economy like India. Implications regarding facilitating and nurturing a conducive platform for online purchasing medicines and its outcomes are elaborated, thus striving to fill a gap in the existing literature. By examining the proposed framework through the lens of the technology acceptance model and theory of risk perception, this study seeks to add to the emergent literature on online pharmacies, especially in emerging economies with huge market potential.

This study aims to understand the determinants of online pharmacy or epharmacy adoption among young consumers in Bangladesh using an extended unified theory of acceptance and use of technology (UTAUT) model.

A structured Google Docs questionnaire was sent out to 420 respondents using messenger service; 285 useable responses were finally extracted. Data were empirically validated using the two-staged structural equation model (SEM)-neural network analysis approach.

The robustness of the classical UTAUT model remains intact in the context of online pharmacy adoption. Among the integrated variables, while perceived trust and health literacy were found significant, perceived risk and personal innovativeness were found insignificant in determining consumers’ intention to adopt online pharmacy. The neural network analysis provided further verification of these findings derived from the SEM.

The findings of this study would facilitate in devising better strategies for entering or expanding online pharmacy business in developing countries such as Bangladesh.

The originality of the current study relates to the two-fold contributions of this study. First, while this study extended the classical UTAUT model by incorporating perceived risk, perceived trust, personal innovativeness and health literacy, the inclusion of the following two variables is fresh within the extant online pharmacy literature. Second, by using a two-staged SEM-neural network analysis approach, this study advances the past studies on e-commerce adoption in pharmaceutical settings and provides a general understanding of the customers of developing countries.

Attempts to investigate the perceived advantages and risks associated with online pharmaceutical transactions, and on this basis, to propose a specific segmentation of consumers.

Analyses the marketing procedures applied by pharmaceutical sites to emphasise the specific advantages and to minimise the perception of transactional risks, as well as the segmentation techniques applied online.

The results of the study indicate the existence of four main consumer categories. This schematic categorisation needs further development, in order to define more precisely the decision taking process and the online shopping behaviour for each customer segment, as well as the level of post‐purchase satisfaction. On the other hand, the paper demonstrated that the marketing approach of various online pharmacies is determined by the transactional model applied.

The empirical analysis presented in this paper should be complemented by future qualitative study, in order to facilitate a deeper understanding of the factors determining the growing success of online pharmacies.

The purpose of this study is to identify patient experience unique to online pharmacy services (OPS) based on the characteristics of OPS (i.e. interactivity and virtuality) and to reveal how patient experience is derived from OPS and thereby enhances patient adherence from both online social support and patient experience perspectives.

The Stimulus-Organism-Response framework was used to conceptualize this study; both primary and secondary data for 296 validated participants were collected on a real OPS platform. A structural equation modeling approach combined with partial least squares was employed for the quantitative analysis.

Social presence and user engagement can be identified as patient experience in the OPS context; online emotional support has a stronger association with patients' social presence than it does with patients' user engagement; patients' social presence has a stronger association with their medication adherence than it does with diet adherence, while patients' user engagement has a stronger association with their diet adherence than it does with medication adherence; patients' medication knowledge negatively moderates the relationship between user engagement and diet adherence.

This study identifies patient experience in accordance with unique characteristics of OPS, and it reveals the nuanced underlying mechanisms by which online social support is associated with patient experience and by which patients' experience is associated with their adherence. This study enriches the literature on patient adherence, patient experience and OPS, providing insights for healthcare providers, OPS designers and policymakers.

This study aims to present a comprehensive investigation into users’ behavioural intentions to use e-pharmacies through the lens of the privacy calculus model. The present study also investigates the effects of perceived benefit, perceived privacy risk, timeliness and perceived app quality on e-pharmacy usage through the mediating role of trustworthiness.

The study used a deductive approach and collected data from 338 respondents using the purposive sampling technique. partial least squares structural equation modelling was applied to analyse the data.

The findings of the study indicate that perceived benefit, perceived privacy risk, timeliness and perceived app quality do not directly impact users’ behavioural intentions towards e-pharmacy adoption. Instead, it demonstrated that perceived benefit, perceived privacy risk, timeliness and perceived app quality influenced behavioural intention indirectly through the mediating role of trustworthiness

This study offers valuable insights to entrepreneurs, marketers and policymakers, enabling them to develop regulations, guidelines and policies that cultivate trust, safeguard privacy, ensure prompt services and create an enabling environment for the adoption of e-pharmacies. The present study also contributes to the existing literature by extending the privacy calculus model with the integration of timeliness and perceived app quality to explain users’ adoption behaviour towards e-pharmacy.

This study aims to examine the mediating role of social influence on the relationship between key predictors of E-pharmacy adoption among young consumers based on the unified theory of adoption and use of technology (UTAUT).

This study employs a quantitative correlational research design. Based on cluster sampling, data was collected from 306 university students from three public universities in southwestern Nigeria. Data was analysed using partial least square structural equation modeling.

The primary determinant driving the adoption of e-pharmacy is performance expectancy. Social influence plays a partial mediating role in linking performance expectancy to e-pharmacy adoption. In contrast, it fully mediates the relationship between effort expectancy, facilitating conditions and the adoption of e-pharmacy services.

This study provides theoretical clarity on recent issues within the UTAUT framework. Findings highlight the complexity of how social factors interact with individual beliefs and external conditions in determining technology acceptance.

Research includes information relevant to access the impact of e-pharmacy services on healthcare accessibility, affordability and quality in developing countries.

The findings extend the adoption of technology literature in healthcare and offer a new understanding of adoption dynamics. The results emphasize the importance of performance expectancy in driving e-pharmacy adoption, providing a clear direction for stakeholders to enhance service quality and user experience of e-pharmacy. Additionally, the mediating effect of social influence highlights the significance of peer recommendations, celebrity endorsements and social media campaigns in shaping consumer adoption of e-pharmacies among young people.

Mobile health (mHealth) technologies, in particular, have been sought after and advocated as a means of dealing with the pandemic situation. Despite the obvious advantages of mHealth, which include monitoring and exchanging health information via mobile applications, mHealth adoption has yet to take off exponentially. Expanding on the unified theory of acceptance and use of technology (UTAUT) model, this study aims to better comprehend consumers’ receptivity to mHealth even after the pandemic has subsided.

Through purposive sampling, data were collected from a sample of 345 mobile phone users and analysed using partial least squares structural equation modelling (PLS-SEM) and artificial neural networks (ANN) capture both linear and nonlinear relationships.

Effort expectancy, performance expectancy, social influence, pandemic fear and trustworthiness positively influenced mHealth adoption intention, with the model demonstrating high predictive power from both the PLSpredict and ANN assessments.

The importance–performance map analysis (IPMA) results showed that social influence had great importance for mHealth uptake, but demonstrated low performance.

Referrals are an alternative that policymakers and mHealth service providers should think about to increase uptake. Overall, this study provides theoretical and practical insights that contribute to the advancement of digital healthcare, aligning with the pursuit of Sustainable Development Goal 3 (SDG 3) (good health and well-being).

This study has clarified both linear and nonlinear relationships among the factors influencing intentions to adopt mHealth. The findings from both PLS and ANN were juxtaposed, demonstrating consistent findings.