The Effects of Integrating Cognitive Feedback and Multi-attribute Utility-Based Multicriteria Decision-Making Methods in GDSS

Cognitive conflicts arise within groups because the members of a group view a problem from different perspectives, even when they have similar interests in achieving a goal. Disagreement within a group may occur due to: (a) differing judgment policies among the members, (b) inconsistency by any member in using a judgment policy, (c) group process losses that prevent group members from understanding each other better, or (d) limited processing capability which may prevent group members from processing all information effectively. Disagreement is especially likely when policies, processes, or information are conflicting in nature.A level 2 GDSS to aid judging in cognitive conflict tasks is presented that combines cognitive feedback and Multi-attribute utility (MAU) theory based multicriteria decision-making techniques with the communication structure and activity-structuring capabilities of a level 1 GDSS. Though cognitive feedback and MAU methods have been used separately to help groups resolve cognitive conflicts, never before have the two decision aids been used together in a computer-based collaborative system.The contributory effects of the components of this GDSS design were empirically tested in a laboratory setting. Three treatments: an unaided face-to-face meeting, a level 1 GDSS supported meeting, and a level 2 GDSS supported meeting were compared in a repeated measures experimental design.Results largely supported the proposed research hypotheses. Some specific findings include: (1) the level 2 GDSS reduced disagreement between group members and improved consistency of judgments better than the other meeting environments did; (2) there was no significant difference in the reduction of disagreement between the level 1 GDSS and face-to-face meetings; and (3) while there was no difference in improvement of consistency of individual judgments between the face-to-face and level 1 GDSS supported meetings, group judgments made in face-to-face meetings were more consistent.     

Providing for Organizational Memory in Computer-Supported Meetings

Meeting memory features are poorly integrated into current group support systems (GSS). In this article, I discuss how to introduce meeting memory functionality into a GSS. The article first introduces the benefits of effective meetings and organizational memory to an organization. Then, the following challenges to design are discussed: How to store semantically rich output, how to build up the meeting memory with a minimum of additional effort, how to integrate meeting memory into organizational memory, and how to protect the privacy of the meeting participants. Finally, using the group-object object-oriented model of a GSS, the article shows how meeting memory functionality can be implemented in a GSS.     

A Formal Study of Distributed Meeting Scheduling

Automating routine organizational tasks, such as meeting scheduling, requires a careful balance between the individual (respecting his or her privacy and personal preferences) and the organization (making efficient use of time and other resources). We argue that meeting scheduling is an inherently distributed process, and that negotiating over meetings can be viewed as a distributed search process. Keeping the process tractable requires introducing heuristics to guide distributed schedulers' decisions about what information to exchange and whether or not to propose the same tentative time for several meetings. While we have intuitions about how such heuristics could affect scheduling performance and efficiency, verifying these intuitions requires a more formal model of the meeting schedule problem and process. We present our preliminary work toward this goal, as well as experimental results that validate some of the predictions of our formal model. We also investigate scheduling in overconstrained situations, namely, scheduling of high priority meetings at short notice, which requires cancellation and rescheduling of previously scheduled meetings. Our model provides a springboard into deeper investigations of important issues in distributed artificial intelligence as well, and we outline our ongoing work in this direction.     

Differences between workstations and keypad group support systems: Implications for keypad GSS facilitators

Organizations are successfully using group support systems (GSS) to improve efficiency, effectiveness, and satisfaction in organizational meetings. Meeting success relies on making an appropriate match between group, taks, and technology. This responsibility often falls to the meeting facilitator. This article draws upon GSS and facilitation literature to develop a framework for the discussion of effective facilitation in workstation and keypad meeting environments. The article identifies differences between the systems and how they impact upon the behavior of the meeting facilitators and their choice of technology. Compensatory actions are proposed for keypad facilitators to address the lack of key workstation features. Keypad strengths are also identified to show the opportunities available to facilitators to maximize the benefits of using these GSS. Further, it is proposed that different types of GSS are not mutually exclusive and should be seen as complementary components of a suite of GSS tools designed to support organizational goals.     

In the trenches: Making your work meetings a success

Managing meetings effectively is vital in the fast-paced, complex environment of the modern workplace. However, direct scholarly attention to work meetings is still limited, making an understanding of what makes meetings successful elusive. In this article, we examine the particulars of successful and unsuccessful meetings from a participant’s perspective. Employing a conceptual mapping approach, we analyze open-ended statements collected from meeting participants to identify three broad themes associated with meeting success: (1) participant learning and development; (2) the coordination of performance, including the creation of links between meeting episodes; (3) and the development of common understanding and alignment among attendees. By more fully taking these themes into account, managers can be better equipped to design, organize, and manage their work meetings successfully.     

Business meetings in a postpandemic world: When and how to meet virtually

The COVID-19 pandemic that erupted in 2020 forced businesses across the world to adopt virtual meetings. With many people working from home, software platforms like Zoom and Teams became ubiquitous, but their widespread use also revealed many weaknesses and limitations. While technologies for virtual meetings have existed for decades, these technologies have advanced significantly in recent years, and today range from audioconference facilities to telepresence rooms with high-resolution video and sophisticated virtual presence features. The available alternatives differ significantly in costs, complexity and capabilities, and choosing the most effective technology for each meeting setting is not always easy. This is important, since after the pandemic, virtual meetings will move from being a necessity brought on by the pandemic to being a widely accepted alternative to traditional face-to-face meetings. Consequently, the questions of when and how to meet virtually will become even more significant. In this article, we describe a decision-making framework for choosing when and how to meet virtually, based on matching the appropriate communication capabilities with various meeting objectives and taking into account meeting size and duration. The framework is based on extensive empirical research conducted in partnership with several major U.S. and European companies.     

Computational Indicators to Assist Meeting Facilitation

In many group work settings, meetings take up a reasonable amount of time and often do not achieve satisfactory outcomes. One of the techniques that has been introduced to ensure meetings run smoothly and reach their goals places an individual in the role of meeting facilitator. Facilitation involves putting together the meeting agenda, designing meeting dynamics and overseeing the meeting at run time, to ensure goals are met. This may involve intervening or adjusting meeting structure to produce desired results. Thus, a facilitator should be able to act according to perceived group dynamics or problems. In this paper, we investigate information needs during facilitation activities. Based on initial investigations, we describe a meeting support system constructed to aid the facilitator in assessing meeting dynamics and a preliminary evaluation. Our goal is to provide information to the facilitator so he or she can better decide when to act and what to do.     

Investigating innovation diffusion,social influence,and personal inner forces to understand people's participation in online e-waste recycling

By integrating the elaboration likelihood model (ELM), innovation diffusion theory (IDT) and social cognition theory (SCT), this study constructs a research model through which to explore the key factors and their influence mechanisms to understand people's participation in online e-waste recycling. Based on the ELM, we believe that people's behavioral intention to participate in online e-waste recycling is affected by the information processing of central and peripheral routes. Based on IDT, we take the perceived innovation characteristics as the key elements of the central route and consider social influence as the key element of the peripheral route. At the same time, we consider personal inner force factors, based on SCT, as the functional condition of the information processing mode to explore the moderating effects of privacy concern, pricing fairness concern, and environmental concern on the information processing of the central and peripheral routes. By taking discarded mobile phones as an example, we collect 475 valid samples to test our research model using the structural equation modelling (SEM) approach. The results confirm that perceived innovation characteristics and social influence are two factors that motivate people to participate in online e-waste recycling and that the three kinds of inner forces have different moderating effects on perceived innovation characteristics and social influence. Based on the above findings, this study puts forward some policy proposals.     

The Meta Environment: A New Group Support System Structure

The greatest success of conventional group support systems (GSS) has been in meetings whose purpose is to extract and record the ideas that participants bring to the meeting. Research supports the usefulness of GSS when complexity is high and groups are large. Conventional GSS almost always require a facilitator or group leader to guide a group through a desired set of tasks. The next natural step beyond conventional GSS is to empower people to use even a broader set of tools in meetings. This article proposes a new GSS structure called the meta environment in which group members bring material into the meeting from their individual workstations, and interact dynamically not only to generate new material, but also to access and analyze existing computer-based information such as spreadsheets and documents. More importantly, a meta environment enables people to work both in synchronism and out of synchronism with the meeting, and adjust to and remember work across meetings. A prototype development project and user testing shows how meta environment components can be built and used. Results from the user testing suggest the need for a new cycle of empirical testing in GSS research to evaluate the effect of the meta environment on existing and new group structures.     

Board Meeting Attendance by Outside Directors

Outside directors’ regular board meeting attendance is important in improving the effectiveness of a governance system. Such attendance is evidence of their commitment to the firm as key other players in monitoring and decision making. Using a unique dataset for Korean firms, and three-level random coefficients models, we find that, foreign outside directors, an independent appointment process, professional knowledge of business operations and accumulated firm-specific knowledge are important factors that affect outside directors’ attendance of board meetings. The results also confirm that both outside directors’ personal characteristics and the social context are crucial in understanding their board meeting attendance. Further analysis shows that a positive corporate environment that supports the outside director system encourages outside directors’ attendance at board meetings.     

我国“技工荒”成因分析与对策

在经济全球化的大背景下,我国进入以出口为主的制造业全面加速发展和面临产业重型化和信息化升级阶段,凸显了＂技工荒＂问题。通过经济学的供给和需求理论,要解决技工荒问题,必须从工资水平、企业投入、政府支持、职业教育、社会观念等方面加以改善。     

Empirical research in electronic meeting systems a demand side approach

This study set out to empirically research the time spent by managers in meetings and to identify the requirements of an information technology system for supporting meetings. It does this by investigating the time commitment, efficiency, main problems, and benefits of meetings. In addition, it examines managers’ attitudes towards information technology support for meetings. To fulfill this aim, more than 1,000 mainly middle level managers were surveyed.

It emerges that a total of 22.4% of working time is spent in meetings; 34% of this time expenditure is rated inefficient. The opportunity for collective decision making and exchange of information are seen as the main benefits whereas the failure to identify critical items and agendas without priorities and targets are seen as the main problems. Analysis of their attitudes towards technological support of meetings shows that managers in principle have a positive attitude toward the idea. They specifically wish to see particular support for the preparatory and follow‐up phases and tools to support qualitative‐creative tasks.     

Communicating With Nonprofit Publics In China: Applying the RISP Model to Prosocial Intentions

This study applied the Risk Information Seeking and Processing (RISP) model to social risk information seeking and processing on social media and prosocial behavioral intentions. Survey data were collected among Chinese college students. Structural Equation Modeling revealed that the model can be successfully applied to social risk information seeking and processing on social media. Students who exhibit high tendencies for systematic information processing and for the interdependent self-construal are more likely to engage in prosocial activities. NPOs are suggested to target young adults with high inter-dependent self-construals, and to craft compelling messages on social media.     

Facilitation Methods for Collaborative Modeling Tools

This paper presents results of an ongoing research effort to support effective user involvement during modeling and analysis meetings. Productivity and user participation of traditional group meetings have been limitations imposed by chauffeured facilitation and single-user tools. These tools have been designed for analysts rather than for direct use by non-analyst users. Recently, electronic meeting systems (EMS) modeling tools that allow users to work in parallel to contribute directly during meetings have been developed. Such tools allow more domain experts to participate directly and productively during model development meetings than is possible using the traditional approach. Although previous research has demonstrated that EMS modeling tools may be used to develop some model content, little research had been done on collaborative facilitation methods that employ these tools. This paper presents a comparison of modeling approaches for use with EMS modeling tools and proposes an approach that overcomes significant problems inherent in other approaches. It leverages the productivity enhancement afforded by direct group access and still results in production of complete, integrated, high quality models. This approach allows models to be developed two to four times faster than with traditional modeling support and yet avoids model ambiguities and inconsistencies.     

A Proposal of Toolkit for GDSS Facilitators

Most group decision meetings are perceived to be extremely unproductive in terms of efficiently utilizing the participants’ time and effectively achieving the group decision meeting objectives. Indeed, group decision meetings consume a great deal of time and effort in organizations. These problems occur frequently because effective guidelines or procedures are not used. To overcome these problems, many group decision support systems (GDSS) imbed some facilitation mechanisms and are currently being used with the help of a human facilitator who guides the group members through the decision process. We propose in this paper a toolkit for GDSS facilitators that we integrate in our proposed architecture for distributed GDSS. Based on a model of the decision making processes group facilitation tasks are automated, at least partially in order to increase the ability of inexperienced facilitator to monitor and control the group decision meeting process.     

The Design of GSS-Enabled Interventions: A Habermasian Perspective

This article frames GSS-enabled interventions as electronically supported discourses, designed and evaluated against a gold standard of ideal speech in a perfect communication environment. The objectives are, firstly, to develop a model of GSS-enabled interventions based on Habermas' theory of communicative action, and secondly, to apply the model as a problem-structuring device to the conceptual problem of designing the strategic evaluation of a comprehensive urban plan. The model, known as the VC (validity claims) Model, provides separate evaluative criteria for personal, social and technical aspects. The criteria for successful GSS-enabled interventions may be summarized as personal commitment (validated by personal truthfulness or sincerity), to a social consensus (validated by rightness), for informed action (validated by objective truth). Detailed criteria (viz., goal, strategy, procedure, issues, problems) are developed for each type of validity claim and matched to the technologies available. The result is a detailed brief illustrating the design of a GSS-enabled strategic urban planning intervention, including a sample agenda for the GSS-supported meeting and the GSS tools that will be employed.     

A heuristic-systematic processing analysis of the effectiveness of product warning labels

In this article we present the heuristic-systematic model (Chaiken, 1980, 1987; Chaiken, Liberman, & Eagly, 1989) as a theoretical framework for research on product warning labels. The model proposes two fundamental information processing modes. When processing systematically, perceivers access, scrutinize, and integrate all useful information to reach their judgment. In contrast, heuristic processing involves the use of learned knowledge structures in the form of simple decision rules, or cognitive heuristics, to reach judgments. In addition to proposing when either or both of these processing modes will occur, and with what effect, the model also specifies three different underlying types of processing motivations, termed accuracy, defense, and impression, each with implications for information processing and judgments. This model is used to explain past findings on the effectiveness of product warning labels, and to suggest new areas for future research as well as practical guidelines for the design of warning labels. © 1998 John Wiley & Sons, Inc.     

JMS-Java-Based Meeting Space

The convergence of business, technology, and market forces have brought about the computer-supported cooperative work (CSCW) phenomena. Many CSCW systems adopt an inflexible style of collaboration and coordination. The problem becomes obvious when different application tools are integrated into a single, comprehensive CSCW system and various applications need different degrees of interaction mode. We introduce JMS (Java-based meeting space), an object-oriented framework for developing synchronous collaborative applications. The JMS framework provides a comprehensive collection of services that supports cooperative interaction at system level. The application developers can tailor some of these services to the specific needs of particular collaborative applications and usage situations. These services are grouped into three main categories. First, JMS provides session management service supporting dynamic integration of application tools as well as dynamic membership. Second, group awareness service guarantees allotted communications within a session. Third, JMS offers floor control service accommodating a set of policies as well as underlying mechanisms. The application developer can bind a floor control to an application tool and switch from one floor policy to another during the session. Our implementation is based on a fully, object-oriented replicated architecture in which the application and management services are replicated at each site. To illustrate the feasibility of JMS in a practical organizational environment, an electronic meeting incorporating voting has been built on the JMS framework. We also provide a brief overview of CSCW and its significance in organizational computing-in electronic meeting, in particular-and compare JMS with other related works.     

Negotiation in Strategy Making Teams: Group Support Systems and the Process of Cognitive Change

This paper reports on the use of a Group Support System (GSS) to explore at a micro level some of the processes manifested when a group is negotiating strategy—processes of social and psychological negotiation. It is based on data from a series of interventions with senior management teams of three operating companies comprising a multi-national organization, and with a joint meeting subsequently involving all of the previous participants. The meetings were concerned with negotiating a new strategy for the global organization. The research involved the analysis of detailed time series data logs that exist as a result of using a GSS that is a reflection of cognitive theory.