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Determinants of Consumers’ Trust in Biotech Brands and Purchase Intentions towards the Cord Blood Products

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  • Shih-Wei Chen

    (Department of Otolaryngology, Tungs’ Taichung MetroHarbor Hospital, Taichung 43503, Taiwan
    Ph.D. Program in Translational Medicine, Department of Life Sciences, National Chung Hsing University, Taichung 40227, Taiwan)

  • Ku-Yuan Lee

    (College of Intelligence, National Taichung University of Science and Technology, No. 129, Sec. 3, Sanmin Rd., North Dist., Taichung 40401, Taiwan)

  • Chi-Ming Hsieh

    (International Bachelor Program of Agribusiness, National Chung Hsing University, 145 Xingda Rd., South Dist., Taichung 40227, Taiwan)

Abstract

The development of the biotech industry is in full swing, and consumers have begun to value biotech brands. Since biotech products often focus on the future or special benefits, consumers inevitably bear certain risks when purchasing biotech products, and their trust in the biotech brand will have an important impact on their purchase intention. Previous studies have lacked a targeted understanding of consumer trust in biotech brands and a discussion of cultural viewpoints. This study introduced the concept of personal connections in Chinese relationalism and trust strategies in Chinese society to address this gap. In-depth interviews and focus group discussions were conducted in collaboration with Company X, a listed Taiwanese cord blood company, to extract the key factors influencing consumer trust and purchase intention of biotech brands. After constructing the structure model, the study was validated using a structural equation model through investigation and survey. The findings indicated that consumer trust in biotech brands was constructed by a combination of kinship trust transfer and emergent trust transfer within the consumer relationship network, as well as institutional trust and professional trust outside the relationship network and that a significant positive correlation existed between consumer trust in biotech brands and purchase intention. The acquaintances within the consumer relationship network include not only relatives and friends but also health care workers and netizens that consumers come into contact with. In addition, kinship trust transfer and emergent trust transfer within the consumer relationship network have a greater impact on trust in biotech brands than the institutional trust and professional trust outside the relationship network. The findings of this study deepen the understanding of consumer trust in biotech brands across cultures, and suggest that future marketing communication should be expanded to include key players within the consumer relationship network.

Suggested Citation

  • Shih-Wei Chen & Ku-Yuan Lee & Chi-Ming Hsieh, 2021. "Determinants of Consumers’ Trust in Biotech Brands and Purchase Intentions towards the Cord Blood Products," IJERPH, MDPI, vol. 18(21), pages 1-17, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11574-:d:671807
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    References listed on IDEAS

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    1. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
    2. Lassoued, R. & Hobbs, J.E., 2015. "Consumer confidence in credence attributes: The role of brand trust," Food Policy, Elsevier, vol. 52(C), pages 99-107.
    3. Michael Siegrist & Heinz Gutscher & Timothy C. Earle, 2005. "Perception of risk: the influence of general trust, and general confidence," Journal of Risk Research, Taylor & Francis Journals, vol. 8(2), pages 145-156, March.
    4. John T. Lang & William K. Hallman, 2005. "Who Does the Public Trust? The Case of Genetically Modified Food in the United States," Risk Analysis, John Wiley & Sons, vol. 25(5), pages 1241-1252, October.
    5. Richard G. Peters & Vincent T. Covello & David B. McCallum, 1997. "The Determinants of Trust and Credibility in Environmental Risk Communication: An Empirical Study," Risk Analysis, John Wiley & Sons, vol. 17(1), pages 43-54, February.
    6. Oguz YILDIZ & Hakan KITAPCI, 2018. "Exploring Factors Affecting Consumers¡¯ Adoption of Shopping via Mobile Applications in Turkey," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 10(2), pages 60-75, June.
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