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ABSTRACTComputer‐generated graphics are becoming increasingly available to decision makers. Despite claims on the part of vendors that the use of graphics will improve decision speed and quality over traditional methods of data display, the available evidence is far from supportive. Initial studies show graphics to be no more effective in communicating information than tables. Correct interpretation of graphical displays appears to require training, which most users lack. Furthermore, there is evidence that those features that make a graph visually attractive—such as color, design complexity, and realism—may actually detract from accurate comprehension. This paper summarizes the literature dealing with the human use of graphics, develops several propositions based on persistent trends in the literature, and suggests directions for future research.

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 the use of communication in formation of organizational identity. All of the studies include rigorous analysis and careful measurement of communication, and all take place within naturally occurring organizational contexts, not laboratory settings.

We introduce this Special Issue by providing an overview of the interplay between communication technology and various dimensions of new organizational forms. We consider the major factors motivating dramatic change within and between organizations today, and describe key dimensions of intraorganizational and interorganizational forms that are linked to electronic communication technologies: vertical control, horizontal coordination, size of organization and constituent units, new types of coupling, core product, communication cultures, ownership and control, interorganizational coupling, strategic alliances, and interstitial linking. Our purpose is to sample the changes attendant upon advances in electronic communication and organizational forms, with the goal of energizing future research. Our overview uncovers possibilities for new avenues of study within the technology-organization relationship and reveals the important contributions made by the articles in this Special Issue.

Despite advances in decision analysis and decision support systems, few formulaic procedures exist for undertaking problem formulation, particularly in group settings. This leaves managers with little procedural support for the important task of carefully structuring problems. In a laboratory experiment of 29 intact student teams, we contrasted two problem formulation methodologies: a structured argument approach (based on application of formal reasoning) and a group process approach (based on private idea generation prior to public sharing and evaluation of ideas). The structured argument approach took more time to use and failed to bring about more information search and equivocality reduction in group discussions. On the positive side, however, the structured argument approach led to a greater combination of both coverage of critical issues and consensus on those issues. Use of the structured argument approach also resulted in higher satisfaction with the problem definition and commitment to implementing results of the group meeting. Overall, the results reveal cost/benefit tradeoffs associated with developing argumentation‐based procedures for problem formulation.

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 GDSS is an interesting technology for study because it can be structured in a myriad of ways, and social interaction unfolds as the GDSS is used. Both the structure of the technology and the emergent structure of social action can be studied. We begin by positioning AST among competing theoretical perspectives of technology and change. Next, we describe the theoretical roots and scope of the theory as it is applied to GDSS use and state the essential assumptions, concepts, and propositions of AST. We outline an analytic strategy for applying AST principles and provide an illustration of how our analytic approach can shed light on the impacts of advanced technologies on organizations. A major strength of AST is that it expounds the nature of social structures within advanced information technologies and the key interaction processes that figure in their use. By capturing these processes and tracing their impacts, we can reveal the complexity of technology-organization relationships. We can attain a better understanding of how to implement technologies, and we may also be able to develop improved designs or educational programs that promote productive adaptations.

In today's volatile business environment, it is more important than ever that managers, whether of a global multinational or a small team, should understand the fundamentals of organizational design. Written specifically for executives and executive MBA students, the edition of this successful book provides a step-by-step 'how to' guide for designing an organization. It features comprehensive coverage of the key aspects of organizational design, including goals, strategy, process, people, coordination, control and incentives. These aspects are explained through the use of a unique series of 2 x 2 graphs that provide an integrated, spatial way to assess and plan organizational design. The new edition features a number of important improvements, including a new framework for understanding leadership and organizational climate, the introduction of the concept of manoeuvrability and a completely new chapter examining joint ventures, mergers, partnerships and strategic alliances.

This study investigated a range of impacts that a computerized group decision support system (GDSS) might have on group decision-making processes. A general model posited 13 possible GDSS impacts. The research strategy was to identify which of these impacts were likely to result for the specific GDSS and for the budget allocation task employed in this study and to focus on these in data collection and analysis. The design contrasted (a) groups using a computerized GDSS with (b) groups using a manual, paper-and-pencil version of the GDSS and with (c) baseline groups given no support system. GDSS impacts were measured by interaction analysis of group decision-making processes. Results partially supported our predictions and suggested some changes in the model. Results suggested that the GDSS improved the organization of the decision-making process but that it may have led to less thorough and critical discussion.

ABSTRACTTo date, case analyses and field studies have predominated in MIS/DSS research. Laboratory studies seem not to have been given the attention they deserve. This trend is partially due to: (1) the high costs associated with developing decision simulators and related software to support laboratory research and (2) difficult problems with external validity because of unrealistically simple simulated decision environments and DSS software. Since MIS/DSS laboratory research has been most successful when studies have occurred in an interrelated stream, the development of common, portable, and flexible simulators seems desirable. Common simulators would reduce the time and cost of developing experiments, provide for research continuity, comparability, and replication, and facilitate researcher‐to‐researcher communication. Sufficiently complex simulators and DSS software would reduce problems with external validity by providing more realistic laboratory models. This paper presents a software package that offers considerable potential as a common tool for DSS research.