This study examines important drivers of green IT practices by firms. Building on the social contract and institutional theories, we propose a model that explains firms’ green IT practices, with a focus on the mediating roles of two firm-specific factors: internal readiness and key stakeholders’ attitudes. We empirically test the model and the associated hypotheses with survey data from 304 major manufacturing and service firms in Taiwan. Overall, our results indicate that both internal readiness and key stakeholders’ attitudes mediate the effects of essential contextual factors on a firm’s green IT practice. Specifically, the effects of industry norms on a firm’s green IT practice are partially mediated by stakeholders’ attitudes and internal readiness, whereas the effects of competitors’ green practices are fully mediated. In addition to mediating the effects of important contextual factors on a firm’s green IT practice, internal readiness and stakeholders’ attitudes also have direct influences on its practice. The effects of key stakeholders’ attitudes seem greater than those of internal readiness.
About the Speaker:
Paul J. Hu is David Eccles Chair Professor at the David Eccles School of Business, the University of Utah. He received his Ph.D. in management information systems from the University of Arizona. His current research interests include information technology in health care, electronic commerce, digital government, knowledge management, and technology-mediated learning. Hu has published in Information Systems Research; Journal of Management Information Systems; Journal of the Association for Information Systems; Decision Sciences; Journal of Information Systems (AAA); Decision Support Systems; Communications of the AIS; IEEE Transactions on Systems, Man, and Cybernetics; IEEE Transactions on Information Technology in Biomedicine; IEEE Transactions on Engineering Management; IEEE Software; IEEE Intelligent Systems; Communications of the ACM; ACM Transactions on Management Information Systems; Journal of Service Research; Journal of Business Research; Journal of the American Society for Information Science and Technology; and Artificial Intelligence in Medicine.