A study on consumer acceptance of online pharmacies in China

Yin, Meng; Qi, Li; Qiao, Zhonghua

doi:10.1145/2971603.2971616

Cited by 15 publications

(30 citation statements)

References 24 publications

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“…Due to chemotherapeutic drug shortage, the mortality rate was high, but essential drugs, including antibiotics, Phytonadione, electrolyte solutions, analgesics, and opioids, were also involved (Mazer-Amirshahi et al, 2014). Drug shortage also increased online purchasing of counterfeit products in middleincome countries (Yin et al, 2016;Huang and Xu, 2017).…”

Section: Clinical Impactsmentioning

confidence: 99%

Drug Shortage: Causes, Impact, and Mitigation Strategies

et al. 2021

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Drug shortage is a global issue affecting low, middle, and high-income countries. Many countries have developed various strategies to overcome the problem, while the problem is accelerating, affecting the whole world. All types of drugs, such as essential life-saving drugs, oncology medicines, antimicrobial drugs, analgesics, opioids, cardiovascular drugs, radiopharmaceutical, and parenteral products, are liable to the shortage. Among all pharmaceutical dosage forms, sterile injectable products have a higher risk of shortage than other forms. The causes of shortage are multifactorial, including supply issues, demand issues, and regulatory issues. Supply issues consist of manufacturing problems, unavailability of raw materials, logistic problems, and business problems. In contrast, demand issues include just-in-time inventory, higher demand for a product, seasonal demand, and unpredictable demand. For regulatory issues, one important factor is the lack of a unified definition of drug shortage. Drug shortage affects all stakeholders from economic, clinical, and humanistic aspects. WHO established global mitigation strategies from four levels to overcome drug shortages globally. It includes a workaround to tackle the current shortage, operational improvements to reduce the shortage risk and achieve early warning, changes in governmental policies, and education and training of all health professionals about managing shortages.

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Section: Clinical Impactsmentioning

confidence: 99%

Drug Shortage: Causes, Impact, and Mitigation Strategies

et al. 2021

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“…First, until 2011, most of these studies are primarily based on the USA, Europe and South America (Orizio et al, 2011). Afterward, a few studies were conducted in other regions (Yin et al, 2016); however, the findings of those studies are not entirely applicable in Bangladesh, as cultural differences among countries have a significant influence on consumers' intention (Karakaya et al, 2014). Second, while most of the past studies are qualitative, less attention was drawn on factors affecting consumers' intention to adopt online pharmacy.…”

Section: Online Pharmacy Adoptionmentioning

confidence: 99%

“…In this regard, Hossain et al (2019) broadened the basic UTAUT model by including personal innovativeness as one of the additional factors for predicting physicians' adoption of the electronic health record. Besides, Yin et al (2016) extended the classical UTAUT model by including perceived risk and perceived trust to examine consumers' intention to purchase medicine online in China. Moreover, a few recent studies have argued that perceived risk (Ofori and Appiah-Nimo, 2019), perceived trust (Rahman et al, 2018) and personal innovativeness (Natarajan et al, 2017) are important in determining consumers' behavioral intention toward online purchasing.…”

Section: Theoretical Background and Hypothesesmentioning

confidence: 99%

“…However, it is difficult to exploit the opportunities of ICT application in different service sectors until consumers accept and take full advantage of those new systems (Rogers, 2003;Awa et al, 2015;Sivathanu, 2019). In this context, while it is essential to comprehend the factors influencing consumers' adoption of online pharmacy, extant studies in this regard are still in their infancy (Yin et al, 2016). Given such circumstances, it becomes imperative to have integrated explorations on the particular factors that critically explain consumers' behavioral intentions and predict such an adoption process.…”

Section: Introductionmentioning

confidence: 99%

“…Svorc (2012) concluded that perceived risk and usefulness are significant predictors influencing consumers' intention to purchase medicaments online. In the context of China, Su et al (2011) focused on the business models and management of online pharmacies, and Yin et al (2016) inferred that performance expectancy, social influence, perceived risk and trust have a significant influence on consumers' adoption intention of online pharmacy. Besides, recent studies focused on consumers' readiness to purchase medicine online in Saudi Arabia (Abanmy, 2017;Alsadoun et al, 2020), integrating contemporary marketing practices within the e-pharmacy context (Ignjatovi c and Stani c, 2019) and impacts of e-pharmacy on society in India (Singh et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Understanding the determinants of online pharmacy adoption: a two-staged SEM-neural network analysis approach

Sabbir

Islam

Das

2020

JSTPM

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Purpose 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. Design/methodology/approach 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. Findings 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. Practical implications The findings of this study would facilitate in devising better strategies for entering or expanding online pharmacy business in developing countries such as Bangladesh. Originality/value 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.

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