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This study examines factors influencing patients' adoption of the IoT for e-Health Management System (e-HMS). A conceptual framework is built by applying the Unified Theory of Acceptance and Use of Technology (UTAUT) model to achieve the research objectives. The constructs viz. performance expectations, perceived healthcare threat, facilitation, and trust were employed to analyze the behaviour intention of healthcare IoT devices in the medical context. A questionnaire was prepared and circulated to 210 IoT healthcare users. Further, a synergy of Smart-PLS and ANN was used to determine factors influencing adopting the IoT for e-HMS. The study yields a novel insight that would render vital benefits to users and service providers. The outcomes of this research can assist IoT inventors, medicinal specialists, and vendors to enhance the optimization of e-HMS. The results make some new reporting facts to improve IoT 4.0 practices in the e-healthcare system and structural model assessment.

The aim of this paper is to explore empirically the impact of retailing ethics on customer satisfaction in Indian retail sector. As in the extant literature there is not even a single study on the impact of retailing ethics on customer satisfaction, this study, thus, fills the gap in literature on by obtaining data from 4 70 customers selected through systematic random sampling from , a northern city of India through a specifically designed schedule. For validating the retailing ethics and customer satisfaction scales, exploratory and confirmatory factor analysis techniques have been used. Subsequently, the impact of retailing ethics on customer satisfaction has been examined through SEM. The findings indicate that retailing ethics has positive and significant impact on customer satisfaction. However, the study is confined to a northern Indian retail sector, particularly conventional small retailers dealing in convenience goods. The present study will be highly beneficial for the researchers, retailers, customers, regulatory bodies and policy makers.

The Edtech sector has grown with the emergence of new ventures at all levels of education and training. A number of experiments are carried out in this domain across the globe. Artificial intelligence is instrumental in helping institutions to engage students, provide personalised learning, and stay profitable. The chapter provides information about prevalent models being used for instruction design. It also includes examples of best practices of using technology in learning across the globe. Case studies of Yuanfudao (China), Embibe (India), Ruangguru (Indonesia), Tonies (Germany), Virti (UK), Examity (USA), and Packback (USA) are part of this chapter.