Gerardine DeSanctis

Bio: Gerardine DeSanctis is an academic researcher from University of Minnesota. The author has contributed to research in topics: Decision support system & R-CAST. The author has an hindex of 33, co-authored 54 publications receiving 12300 citations. Previous affiliations of Gerardine DeSanctis include Florida State University.

Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory

Abstract: The past decade has brought advanced information technologies, which include electronic messaging systems, executive information systems, collaborative systems, group decision support systems, and other technologies that use sophisticated information management to enable multiparty participation in organization activities. Developers and users of these systems hold high hopes for their potential to change organizations for the better, but actual changes often do not occur, or occur inconsistently. We propose adaptive structuration theory (AST) as a viable approach for studying the role of advanced information technologies in organization change. AST examines the change process from two vantage points: (1) the types of structures that are provided by advanced technologies, and (2) the structures that actually emerge in human action as people interact with these technologies. To illustrate the principles of AST, we consider the small group meeting and the use of a group decision support system (GDSS). A GDS...

A foundation for the study of group decision support systems

Abstract: Technical developments in electronic communication, computing, and decision support, coupled with new interest on the part of organizations to improve meeting effectiveness, are spurring research in the area of group decision support systems GDSS. A GDSS combines communication, computing, and decision support technologies to facilitate formulation and solution of unstructured problems by a group of people. This paper presents a conceptual overview of GDSS based on an information-exchange perspective of decision making, Three levels of systems are described, representing varying degrees of intervention into the decision process. Research on GDSS is conceived as evolving over time from the study of simple "shell" systems, consisting of menus of features available for selection by a group, to consideration of sophisticated rule-based systems that enable a group to pursue highly structured and novel decision paths. A multi-dimensional taxonomy of systems is proposed as an organizing framework for research in the area. Three environmental contingencies are identified as critical to GDSS design: group size, member proximity, and the task confronting the group. Potential impacts of GDSS on group processes and outcomes are discussed, and important constructs in need of study are identified.

Introduction to the Special Issue: Communication Processes for Virtual Organizations

Abstract: Few topics have received more attention in the management literature of recent years than that of virtual organizations. Articles abound on the possibilities of virtual meetings, work teams, offices, factories, firms, and alliances. Given the burgeoning interest in this emerging phenomenon, it is surprising that very little empirical research exists on virtual organizations. Especially lacking are studies of communication processes within virtual organization settings. To help remedy this situation, this special issue provides an early window into several important communication processes that occur in virtual contexts. We are pleased to provide readers with a compendium of six articles that, collectively, advance current knowledge of communication processes for virtual organizations. Both single and multifirm studies are included here, with analyses covering such diverse topics as communication content, communication structure and effectiveness, tradeoffs in electronic and face-to-face relationships, and...

Using a GDSS to Facilitate Group Consensus: some Intended and Unimtended Consequences.

Abstract: A cumulative body of experimental research is emerging that examines the ability of computer technology to support the processes and outcomes of small group meetings. For the most part the group decision support system effort has been concerned with demonstrating the usefulness of the technology in planning and decision-making situations where the quality of the meeting's outcomes can be objectively assessed. In many decision situations, however, there is no objective measure of decision quality available. Rather, the group must reconcile differences in opinion, personal preference, or judgments and achieve consensus about a particular mode of action. As a contribution to the accumulating research on GDSS, the current study examine the eff4ects of a GDSS in resolving conflicts of personal preference. In a task requiring resolution of competing personal preferences, 82 groups - the largest sample size in the GDSS literature to date - were randomly assigned to one of three experiment conditions: (1) a computer-based support system (GDSS); (2) a manual, paper and pencil, support system; or (3) no support whatsoever. Groups were either of size 3 or 4 persons. Use of the GDSS was expected to facilitate democratic participation in group discussion move group members toward agreement with one another, and result in a high level of satisfaction with the group decision process. While several of the intended effects of the technology were observe, the groups experienced some unintended consequences as a result of using the GDSS. In general, the GDSS technology appeared to offer some advantages over no support, but little advantage over the pencil and paper method of supporting group discussion.

Perceived usefulness, perceived ease of use, and user acceptance of information technology

Abstract: Valid measurement scales for predicting user acceptance of computers are in short supply. Most subjective measures used in practice are unvalidated, and their relationship to system usage is unknown. The present research develops and validates new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance. Definitions of these two variables were used to develop scale items that were pretested for content validity and then tested for reliability and construct validity in two studies involving a total of 152 users and four application programs. The measures were refined and streamlined, resulting in two six-item scales with reliabilities of .98 for usefulness and .94 for ease of use. The scales exhibited hgih convergent, discriminant, and factorial validity. Perceived usefulness was significnatly correlated with both self-reported current usage r = .63, Study 1) and self-predicted future usage r = .85, Study 2). Perceived ease of use was also significantly correlated with current usage r = .45, Study 1) and future usage r = .59, Study 2). In both studies, usefulness had a signficnatly greater correaltion with usage behavior than did ease of use. Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage. Implications are drawn for future research on user acceptance.

User Acceptance of Computer Technology: A Comparison of Two Theoretical Models

Abstract: Computer systems cannot improve organizational performance if they aren't used. Unfortunately, resistance to end-user systems by managers and professionals is a widespread problem. To better predict, explain, and increase user acceptance, we need to better understand why people accept or reject computers. This research addresses the ability to predict peoples' computer acceptance from a measure of their intentions, and the ability to explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables. In a longitudinal study of 107 users, intentions to use a specific system, measured after a one-hour introduction to the system, were correlated 0.35 with system use 14 weeks later. The intention-usage correlation was 0.63 at the end of this time period. Perceived usefulness strongly influenced peoples' intentions, explaining more than half of the variance in intentions at the end of 14 weeks. Perceived ease of use had a small but significant effect on intentions as well, although this effect subsided over time. Attitudes only partially mediated the effects of these beliefs on intentions. Subjective norms had no effect on intentions. These results suggest the possibility of simple but powerful models of the determinants of user acceptance, with practical value for evaluating systems and guiding managerial interventions aimed at reducing the problem of underutilized computer technology.

Design science in information systems research

Abstract: Two paradigms characterize much of the research in the Information Systems discipline: behavioral science and design science The behavioral-science paradigm seeks to develop and verify theories that explain or predict human or organizational behavior The design-science paradigm seeks to extend the boundaries of human and organizational capabilities by creating new and innovative artifacts Both paradigms are foundational to the IS discipline, positioned as it is at the confluence of people, organizations, and technology Our objective is to describe the performance of design-science research in Information Systems via a concise conceptual framework and clear guidelines for understanding, executing, and evaluating the research In the design-science paradigm, knowledge and understanding of a problem domain and its solution are achieved in the building and application of the designed artifact Three recent exemplars in the research literature are used to demonstrate the application of these guidelines We conclude with an analysis of the challenges of performing high-quality design-science research in the context of the broader IS community

Information Systems Success: The Quest for the Dependent Variable

Abstract: A large number of studies have been conducted during the last decade and a half attempting to identify those factors that contribute to information systems success. However, the dependent variable in these studies-I/S success-has been an elusive one to define. Different researchers have addressed different aspects of success, making comparisons difficult and the prospect of building a cumulative tradition for I/S research similarly elusive. To organize this diverse research, as well as to present a more integrated view of the concept of I/S success, a comprehensive taxonomy is introduced. This taxonomy posits six major dimensions or categories of I/S success-SYSTEM QUALITY, INFORMATION QUALITY, USE, USER SATISFACTION, INDIVIDUAL IMPACT, and ORGANIZATIONAL IMPACT. Using these dimensions, both conceptual and empirical studies are then reviewed a total of 180 articles are cited and organized according to the dimensions of the taxonomy. Finally, the many aspects of I/S success are drawn together into a descriptive model and its implications for future I/S research are discussed.