Knowledge that Transforms

This paper reports on a survey of North American IS programs and secondary data assessing the supply and demand of Information Systems (IS) doctorates. The data document a large and growing lack of supply to meet current and future demand. Demographic factors—including the number of university students, their selection of majors, and retirements among IS faculty—favor a probable scenario for continuing strong demand for IS faculty in the longer term. We argue that the severe imbalance will continue if the current state of the economy and businesses’ need for technically-savvy managers continues. Implications and recommendations are presented for ensuring the long-term health of the IS discipline in addressing this imbalance.

Aging information systems are expensive to maintain and most are eventually retired and replaced. But what determines (in the choices made by managers) whether and when a system reaches end-of-life? What shapes managers’ judgements about a system’s remaining life expectancy and do these judgments influence the maintenance effort itself? System maintenance and prospective replacement are examined here in new terms, positing that managers “equilibrate” (balance) their allocation of maintenance effort with their expectations of a system’s remaining life. Drawing from data on 758 systems among 54 organizations, support is found for an exploratory structural equation model in which the relationship between maintenance effort and remaining life expectancy is newly explained. A “portfolio effect,” reflecting a system’s familial complexity, is also found to be directly and positively related to the maintenance effort. A further finding is that a system’s size is directly and positively associated with its remaining life expectancy. Notwithstanding normative research suggesting the contrary, larger systems may tend to be longer-lived than smaller systems. Practically, the suggestion is made that better documented and monitored portfolios, together with regular, periodic performance assessments, can lead to better management of systems’ life cycles.

This research investigated how the use of a spatial decision support system (SDSS)—a type of geographic information system (GIS)—influenced the accuracy and efficiency of different types of problem solvers (i.e., professionals versus students) completing problems of varied complexity. This research—the first to simultaneously study these variables—examined subjects who completed a problem involving spatially-referenced information. The experiment was guided by a research model synthesized from various perspectives, including the theory of cognitive fit, prior research on map reading and interpretation, and research examining subject expertise and experience. The results are largely supportive of the research model and demonstrate that SDSS, an increasingly important class of management decision-making technology, increased the efficiency of users working on more complex problems. Professionals were found to be more accurate but less efficient than students; however, professionals who used the SDSS were no more accurate than professionals using paper maps. Need for cognition, a construct that focuses on an individual’s willingness to engage in problem solving tasks, was found to be marginally related to accuracy. The implications of these findings for researchers and practitioners are presented and discussed.

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.

GDSS has enjoyed about a decade and a half of vigorous research activity. Throughout this time, a problem that has occupied the research community is the inconsistent research results that have been obtained. The purpose of this paper is to assess whether the reason for these inconsistencies is rooted in the epistemological mode that has prevailed and to offer an alternative epistemological lens that might help advance our understanding of GDSS use and research. Using qualitative research methods and a symbolic inter-actionist theoretical basis, this paper examines how a particular group used a GDSS over two meetings. The findings indicate that GDSS use may result in reactions from its users that are difficult to capture using conventional methodological assumptions, thereby helping explain why past results have not been consistent. Based on these findings, a shift in focus is advocated from an emphasis on the technology to an emphasis on human interaction, one that embraces the reasons underlying past inconsistencies rather than attempting to overcome them.