This study attempts to examine the impact of green entrepreneurial orientation (GEO) and market orientation (MO) on the implementation of green supply chain management (GSCM) practices and subsequent sustainable firm performance. Further, the study identifies the mediating factor between green entrepreneurial orientation and sustainable firm performance and also explores whether market orientation plays a mediating role in the relationship between GEO and GSCM practices. The data collected from 246 Bangladeshi textile manufacturing firms were analyzed using the structural equation modeling with partial least square techniques, typifying that exploratory and quantitative research. The results revealed that GEO has a significant positive influence on MO and GSCM practices, which ultimately positively effects on all the three dimensions (economic, environmental, and social) of sustainable firm performance. Further, the study found that GSCM practices partially mediate the relationship between GEO and firm performance while MO also partially mediate the relationship between GEO and GSCM practices. These findings indicate that organizations should emphasize on GSCM practices in their operations to reap sustainability performance. The theoretical and practical implications are also discussed.

Purpose: The aim of the study was to investigate factors that influence the adoption and use of e-Health applications in Bangladesh from citizens’ (patients’) perspectives by extending the technology acceptance model (TAM) to include privacy and trust. Methods: A structured questionnaire survey was used to collect data from more than 350 participants in various private and public hospitals in Dhaka, the capital city of Bangladesh. The data were analyzed using the partial least-squares (PLS) method, a statistical analysis technique based on structural equation modeling (SEM). Results: The study determined that perceived ease of use and perceived usefulness and trust (p < 0.05) were significant factors influencing the intention to adopt e-Health. Privacy (p > 0.05) was identified as a less significant factor in the context of e-Health in Bangladesh. The findings also revealed that gender was strongly associated with the adoption and use of e-Health services. Conclusions: The findings of the present study contribute to the development of strategies and policies to enhance e-Health services in Bangladesh. Furthermore, as a result of the generic approach used in this study, the acceptance model developed can be easily modified to investigate the adoption of e-Health in other developing countries.

Purpose: The purpose of this paper is to identify the key facilitators and inhibitors of fitness wearable technology (FWT) adoption and the intention to recommend this technology. Design/methodology/approach: An innovative and integrated research model was developed by combining constructs from two well-established theoretical models, the extended unified theory of acceptance and use of technology (UTAUT2) and diffusion of innovation (DOI). The proposed research model was empirically validated using data collected from 392 respondents in China. The data was analyzed using the partial least squares method, a statistical analysis technique based on structural equation modeling. Findings: The results indicate that performance expectancy, effort expectancy, social influence, habit, compatibility and innovativeness have significant direct and indirect effects on FWT adoption and the intention to recommend it. The significance of people’s intention to recommend FWT to others in social networking sites (e.g. Facebook, Weibo, and WeChat) is also confirmed. Practical implications: The findings may facilitate the design and implementation of FWT products, applications and functionalities that can achieve high consumer acceptance and positive recommendations in social networks. Originality/value: This study is among the first to investigate FWT adoption from behavioral, social and environmental perspectives. It also highlights the importance of social marketing campaigns and suggests directions of future wearable technology adoption research.