Welcome to the first issue of Volume 41! Issue 1 includes five articles. In the first article, entitled “Probing the Past to Guide the Future IT Regulation Research: Topic Modeling and Co-Word Analysis of SOX-IS Research,” authors George Mangalaraj, Anil Singh, and Aakash Taneja examine SOX-related research in the IS domain. Using bibliometric methods and topic modeling, research themes are identified and discussed, with specific examples, to guide future research and IT regulations. Next, author Ifinedo Princely applies the social cognitive theory to explore how personal and environmental antecedent factors reduce employee engagement in nonmalicious information security violations in the workplace in the article entitled, “Exploring personal and environmental factors that can reduce nonmalicious information security violations.” The results reveal that personal goal setting, employee organizational commitment, and vicarious learning reduced employees’ intentions to engage in such violations. In the third article, authors Narcyz Roztocki, Wojciech Strzelczyk, and Heinz Roland Weistroffer undertake a multi-case study to identify the most important driving forces that affect enterprise systems implementations in the public sector in their article entitled, “Enterprise Systems in the Public Sector: Driving Forces and a Conceptual Framework.” A framework is constructed to present six driving forces in enterprise systems implementation in the public sector to serve as guidance for implementation projects and for further research. In the fourth article, entitled “Mediating Role of Social Commerce Trust in Behavioral Intention and Use” authors Anand Jeyaraj, Elvira Ismagilova, Yassine Jadil, Prianka Sarker, Nripendra P. Rana, Laurie Hughes, and Yogesh K. Dwivedi formulate a model of the factors that influence intention and use behavior, with particular attention to the role of trust, in social commerce (s-commerce). Based on perspectives from trust, social presence, and socio-technical theories, this model is tested, with results showing social presence, s-commerce features, and familiarity influence trust; s-commerce features, trust, and familiarity impact behavioral intention; and behavioral intention, trust, and s-commerce features influence use behavior. Finally, the last article in this issue, “An empirical study on factors impacting the adoption of digital technologies in supply chain management and what blockchain technology could do for the manufacturing sector of Bangladesh,” authored by Zerin Tasnim, Mahmud Akhter Shareef, Abdullah M. Baabdullah, Abu Bakar A. Hamid, and Yogesh K Dwivedi, examines the behavioral intention to adopt blockchain technology in the supply chain management of manufacturing industries. The results, from testing a model integrating the technology acceptance model and technology adoption model, suggest that perceived usefulness, trading partners’ pressure, and competitive pressure are the most important determinants of behavioral intention.
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I encourage you to consider submitting your best research for publication consideration in the Information Systems Management journal. Additionally, proposals for editing special issues are also encouraged. Finally, I wish to thank the authors for their high quality research, the reviewers for their insightful reviews, the Senior Editors for their knowledge and expertise, and you our valued readership.