This paper utilizes a qualitative methodology, revealed causal mapping (RCM), to investigate the phenomenon of software operations support expertise. Software operations support is a large portion of the IS work performed in organizations. While we as researchers have access to generalized theories and frameworks of expertise, very little is known about expertise in this critical area. To understand software operations support expertise, a mid-range theory is evoked from interviews with experts and the construction of RCMs from those interviews. The results of this study indicate that software operation support expertise is comprised of five major constructs: personal competencies, environmental factors, support personnel motivation, IS policies, and support personnel outcomes. Additionally, this study revealed that these constructs interact differently in contexts where software support is the main activity versus contexts where the focus is development. This study demonstrates that the use of the RCM methodology yields constructs of software operations support expertise that are not suggested by generalized theory. In addition, the use of RCM as an evocative, qualitative methodology reveals the interaction and linkages between these constructs. This paper also provides a history of and tutorial to the RCM methodology for use by the research community.
A major issue facing managers of information systems organizations is the increasing pressure to demonstrate the business value of the firm's investment in information technology. The working relationship between the IS department and other diverse organizational groups can have a major contribution to increasing IS performance. This paper explores the concept of shared knowledge between IS groups and their line customers as a contributor to IS performance. Shared knowledge is achieved through the mechanisms of mutual trust and influence between these groups. The relationship of mutual trust, influence, and shared knowledge with IS performance is tested empirically using path analysis in a study of 86 IS departments. The results of this study show that shared knowledge mediates the relationship between IS performance and trust and influence and that increasing levels of shared knowledge between IS and line groups leads to increased IS performance. Recommendations are given for ways managers can develop mutual trust and influence between these diverse groups and, therefore, achieve higher levels of shared knowledge and IS performance.