Investigating Knowledge Flows between Information Systems and Other Disciplines:

Abstract

Information systems (IS) is one of the most rapidly changing disciplines in the social science field, and it is currently facing a new academic shift. The prevailing concepts, such as big data and Internet of things (IoT), imply that there is a plethora of research opportunities for IS researchers. Since these opportunities lie mostly in conjunction with other disciplines closely related to IS, it is essential to identify the interaction between IS and those disciplines. A few studies using bibliometric analysis have been published regarding this topic. However, we have identified several limitations in them: (i) inclusion of only a small journal basket, (ii) focus on a very restricted area of discipline, and (iii) a methodological limitation that can lead to the failure to capture the authentic knowledge flow between IS and other disciplines. We attempt to extend previous studies by proposing a comprehensive analysis model with the largest journal basket and areas of disciplines. As a result of our analysis, a knowledge flow structure different from that of past research is identified. In addition, through the discussion on emerging reference disciplines, we discover new research opportunities into which IS researchers can delve.