Digital transformation refers to the unprecedented disruptions in society, industry, and organizations stimulated by advances in digital technologies such as artificial intelligence, big data analytics, cloud computing, and the Internet of Things (IoT). Presently, there is a lack of studies to map digital transformation in the environmental sustainability domain. This paper identifies the disruptions driven by digital transformation in the environmental sustainability domain through a systematic literature review. The results present a framework that outlines the transformations in four key areas: pollution control, waste management, sustainable production, and urban sustainability. The transformations in each key area are divided into further sub-categories. This study proposes an agenda for future research in terms of organizational capabilities, performance, and digital transformation strategy regarding environmental sustainability.

AnAnth ChirAvuri is an assistant professor of MIS at the American university of Sharjah. he holds a Ph.D. in management science with a specialization in MIS from the university of Wisconsin-Milwaukee. his current research interests are in the areas of knowledge management, virtual teams, and e-commerce. he has published over 16 papers in refereed journals such as Information Systems Journal and in conference proceedings such as hawaii International Conference on System Sciences and is the recipient of many research grants. his teaching has been recognized with various awards. he has also served as a reviewer for various IS journals and conferences.Derek nAzAreth is an associate professor of MIS at the university of Wisconsin-Milwaukee. he received a Ph.D. in MIS from Case Western reserve university. his current research interests include Web services composition, business process modeling, and software reuse. his papers appear in k. (rAm) rAmAmurthy is a professor and James r. Mueller Distinguished Scholar in MIS at the Sheldon B. Lubar School of Business, university of Wisconsin-Milwaukee. he received a Ph.D. in business with an MIS concentration from the university of Pittsburgh. he has 20 years of industry experience, holding several senior technical and executive positions. his current research interests include e-commerce with interorganizational systems/electronic data interchange and the Internet; adoption, assimilation, and diffusion of modern It; data resource management and data warehousing; It business value; It outsourcing; decision and knowledge systems for individuals and groups; and total quality management, including software quality. he has published over 46 research articles in major scholarly journalsover 26 articles in refereed conference proceedings. he served as an associate editor of MIS Quarterly for four years. he is a charter member of the Association for Information Systems.AbstrACt: Effective knowledge management has been increasingly cited as critical for businesses to compete successfully. knowledge acquisition/capture, the first step in knowledge management, continues to be a bottleneck and is exacerbated when experts are geographically distributed. Furthermore, knowledge from multiple experts is likely to generate inconsistent knowledge for a given problem domain. there is thus a compelling need to generate consensus by resolving inconsistencies and conflicts that may occur among experts during the process of knowledge acquisition. this process is more challenging when dealing with virtual teams of experts. this study addresses task-based or cognitive conflicts among experts. A key objective of this study is to examine the effectiveness of two cognitive techniques-the repertory grid (or repGrid) and Delphi-in generating consensus among experts during the knowledge capture process. A field experiment with geographically distributed real-world network experts involving multiple rounds of interaction over an extended period of time was conducted. Findings from this research indicate t...

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Purpose Serial crowdfunding is becoming a common phenomenon as entrepreneurs repeatedly return to online crowdfunding to raise capital. In this study, the authors focus attention on serial crowdfunders, that is, entrepreneurs who experience launching more than one crowdfunding project. The purpose of this paper is to investigate the role of past experience on subsequent crowdfunding performance. This study also examines whether initial success vs initial failure leads serial crowdfunders to engage in more explorative behaviors (i.e. switching industry) and to take exploitative actions (i.e. adjusting campaign strategies in terms of goal setting and funding option). Design/methodology/approach Data on serial crowdfunding projects was retrieved from Indiegogo platform. The logistic regression models are estimated to assess the impact of past entrepreneurial experience on subsequent crowdfunding decisions, and to estimate the effects of the three strategies on subsequent funding performance. Findings The results show that serial creators who experienced successful initial crowdfunding are more likely to explore a new industry or product category in the crowdfunding market and to set a higher target capital for the subsequent campaign when they change a project category. Originality/value Despite the fact that there are a considerably large number of serial crowdfunders in crowdfunding market, relatively little research has been conducted to investigate the presence of learning benefits from a previous to a subsequent crowdfunding project. Two competing hypotheses, drawn from the attribution theory and hubris theory of entrepreneurship, were tested in this study to determine the impact of prior success vs failure experience on both subsequent crowdfunding decisions and funding performance.