The advancement in technology has fostered the prevalence of the Internet of Things (IoT), which enhances healthcare business quality, offers a seamless customer experience, and maximizes turnovers and profits. Consequently, omnichannel services have emerged by integrating online and offline channels and providing customers with more real-time information and services to increase their engagement. Healthcare wearable devices appear as a salient tool to connect healthcare providers and patients and thus become an essential part of the omnichannel environment. Along with this trend, the ethical concerns while using these devices have increasingly intensified and are significant barriers to market expansion. Nevertheless, there is a lack of studies discussing the role of wearables in omnichannel hospital supply chain management and examining the influence of those above concerns on healthcare wearables adoption. Therefore, this study explores these gaps through an integrated approach. Furthermore, we proposed a framework integrating the traditional statistical and machine learning-based approach to analyze a large amount of data; and thereby facilitate a data-driven analytic model to manage omnichannel healthcare supply chain businesses.
|Journal||Journal of Business Research|
|Publication status||Published - 19 Dec 2022|
Bibliographical noteFunding Information:
This work is partly supported by VC Research (VCR 0000168).
Dr. Muhammad Mustafa Kamal is an Associate Professor of Supply Chain Management, Curriculum Lead in Decision Making (Business Analytics) and Risk Management, and Director of the Transnational Research Degree (TNRD) Programme at the School of Strategy and Leadership. Dr Kamal is a Senior Fellow of HEA and a Certified Management and Business Educator (CMBE). Currently, he is the Deputy Editor for the Journal of Enterprise Information Management (JEIM), Senior Editor for Information Systems Management and on editorial board for Government Information Quarterly. He has published over 70 papers in refereed academic journals, conference proceedings, book chapters, and magazine article. His research work has appeared in several leading ABS ranked journals, such as International Journal of Production Research, Journal of Business Research, Information and Management, Production, Planning and Control, Expert Systems with Applications, Government Information Quarterly, Supply Chain Management: An International Journal, and Journal of the Operational Research Society, International Journal of Information Management, and Information Systems Management. He has also presented his research papers at globally esteemed conferences such as British Academy of Management Conference (BAM), European Conference on Information Systems (ECIS), Americas Conference on Information Systems (AMCIS), and Hawaii International Conference on System Sciences (HICSS). He has also chaired conferences and tracks at leading conferences including AMCIS, ECIS and HICSS. He has worked on several internal and external research grant (including EU Framework 7, Horizon 2020, Qatar National Research Foundation).
© 2022 The Author(s)