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.     

Towards an Instrument to Measure Participants' Perceptions on Facilitation in Group Support Systems Meetings

Facilitation is often considered to be one of the key factors in the successful application of GSS. Research on GSS facilitation has revealed insight into the types of tasks performed by facilitators and the potential positive effects of facilitation on group consensus and satisfaction. However, earlier research has rarely approached GSS facilitation from the participants' point of view. In this study a questionnaire was developed and distributed to 369 participants of facilitated GSS meetings in order to measure their perceptions of various facilitation tasks. The results suggested three categories of facilitation tasks that are perceived as important by participants. Each of these categories strongly correlated with participants' meeting satisfaction. Further research is needed to refine these categories so that the instrument may be used to evaluate a facilitator's performance.     

Ethical Decision Making: A Comparison of Computer- Supported and Face-to-face Group

This study compares computer-supported groups, i.e., groups using group support systems (GSS), and face-to-face groups using ethical decision-making tasks. A laboratory experiment was conducted using five-person groups of information systems professionals. Face-to-face (FTF) and GSS groups were compared in terms of their decision outcomes and group members' reactions. The results revealed that computer-supported and face-to-face groups showed no significant difference in terms of the decision outcomes of choice shift and decision polarity. However, FTF groups reached their decisions more quickly and they were more successful in attaining group consensus than GSS groups. Subjects evaluated face-to-face communication more favorably than GSS interaction on most post-group measures related to perceived group processes and satisfaction. Despite these outcomes, some possibilities for using GSS technology in an ethical decision making context are examined.     

Challenging Group Support Systems Research: The Case for Strategic Decision Making

Strategic decision making (SDM) often occurs in groups that can benefit from the use of group support systems (GSS). However, no comprehensive review of this logical intersection has been made. We explore this intersection by viewing GSS research through the lens of SDM. First, SDM is broadly characterized and a model of GSS-mediated SDM is produced. Second, we review empirical GSS research linking these findings to the characteristics of SDM. We conclude that GSS research has not produced sufficient knowledge about group history, heterogeneity, member experience, task type, time pressure, technology or tool effects, and decision consensus for a favorable evaluation of SDM in GSS groups. SDM in GSS groups challenges researchers to study the effects of group processes such as those just mentioned in a context that involves ongoing and established groups, political activity, and a multiplicity of tasks.     

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.     

Using and Influence Level of Information to Explain the Non-consensus Process Loss

Much of the Group Support System (GSS) literature comparing GSS groups with manual groups has produced contrarian results. One of the more confusing is that GSS groups have a higher level of non-consensus than manual groups. Lack of consensus in GSS groups is considered to be a negative aspect of GSS. This paper argues that low levels of consensus are not necessarily harmful and should be expected given the assumptions about GSSs. This study uses an alternate measure to compare face-to-face groups with GSS groups; an influence level of information. Experimental results using an influence level of information show no difference between face-to-face group members and GSS group members. We discuss these implications, as well as additional directions for further consensus research.     

Group Development (II): Implications for GSS Research and Practice

This article is the second of a two-part series that examines the issue ofgroup development and its impact on the study and design of group supportsystems. It builds on the ideas developed in the preceding article anddiscusses the implications of group development for group support systems(GSS) research. Specifically, the paper examines the impact of computersupport systems on group development processes. Our previous paper reviewed models of development—based on two competingparadigms, sequential and nonsequential—proposed by various researchers.Despite differences between the two paradigms, individual models share somecommon aspects, from the types of processes experienced to the nature ofoutputs produced, that jointly help describe group development. Commonprocesses displayed in the evolution of a group, distilled from the variousmodels, include cohesiveness, conflict management, balance betweensocioemotional and task needs, effective communication, and involvement ingroup activities. Additionally, the various models also indicate that groupshave critical periods in their developmental path. This paper develops the idea that GSS structures can support groups withtheir developmental processes and help them deal with critical periods. MostGSS provide global structures like anonymity, simultaneity, and the capacityfor enhanced information processing. These structures, if appropriatedeffectively by groups, can influence their developmental paths over time. Inmany cases these structures can help the development of groups by improvingtheir ability to manage conflict, increasing their cohesiveness, developing asense of group identity, and enhancing open communication. This paperdevelops a set of testable propositions that can guide researchers of groupbehavior, organizational users of GSS, and developers of these systems.     

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.     

Patterns of Self-Efficacy Within NAFTA: United States,Canada, and Mexico

Self-efficacy has been shown to be a key attribute of successful business leaders and in today's global economy, must be studied in terms of patterns of crossvergence. The paper examines both individual characteristics (gender, age, work experience, and management experience) and culture as they relate to self-efficacy in North America. Women in our sample had slightly lower self-efficacy, which increased with work and management experience. Age and membership in an individualistic culture were not related to self-efficacy; in fact, our Mexican participants demonstrated slightly higher self-efficacy propensities. These results suggest that organizations might consider devoting special attention to development of mentor and other programs particularly to females initiating their career. However, expected cultural patterns relating to self-efficacy might not hold as strongly, particularly with empowered groups such as executives and MBA students. Individual characteristics, particularly experience levels, have a greater impact on self-efficacy and should receive heightened considerations when organizations are making selection and other personnel decisions.     

How can I Be as attractive as a Fitness YouTuber in the era of COVID-19? The impact of digital attributes on flow experience,satisfaction, and behavioral intention

In the past decade, the social media platform has dramatically changed individuals’ daily activities in real life and on the Internet, including shopping, socialization, entertainment, study, and even health and fitness. In the era of COVID-19, particularly, consumers tend to rely more on digital attributes of social media platforms for their decision-making process by reducing the physical touchpoint. Responding to this ongoing trend, this study investigates how fitness YouTube channel attributes and fitness YouTuber attributes influence flow experience, satisfaction, and behavioral intention of YouTubers who work out at home via a fitness YouTube channel during the COVID-19 pandemic. Based on the social media literature and the cognitive appraisal theory, this research formulates a research model that specifies the influence of three dimensions of fitness YouTube channel attributes (i.e., social interaction, information quality, and visual content) and three dimensions of fitness YouTuber attributes (i.e., social attractiveness, physical attractiveness, and attitude homophily) on flow experience, YouTube channel satisfaction, and behavioral intention in the context of YouTube. This study recruited participants in the United States who currently work out via a fitness YouTube channel through three waves of data collection during the COVID-19 era. The empirical results revealed that flow experience was significantly affected by information quality, visual content, and physical attractiveness. Also, YouTube channel satisfaction was significantly affected by social interaction, information quality, and visual content. Lastly, behavioral intention was significantly affected by flow experience and YouTube channel satisfaction. Based on the findings, this study proposes meaningful implications for the extant literature and social media industry during the COVID-19 pandemic.     

Asynchronous Computer-mediated Communication versus Face-to-face Collaboration: Results on Student Learning, Quality and Satisfaction

Although there has been more than a decade of literature on computer-mediated communication in education, the research has been unclear as to whether it is an effective replacement for face-to-face (FtF) collaboration. This study sought to add to this body of research by exploring the effects of two modes of collaboration on student groups. Following a repeated-measures experimental design, each student group collaborated on two case studies, one using face-to-face collaboration and the other using asynchronous computer conferencing technology as a means of collaboration. Empirical findings indicate that asynchronous collaboration is as effective as face-to-face collaboration in terms of learning, quality of solution, solution content, and satisfaction with the solution quality. However, students were significantly less satisfied with the asynchronous learning experience, both in terms of the group interaction process and the quality of group discussions.     

Group Development (I): A Review and Synthesis of Development Models

This is the first of two parts that examine the issue of group development and its impact on the study design of group support systems (GSS). We review the various models of group development, analyze the sources of differences among these models, and synthesize common themes across various models. The paper concludes with a meta-framework for understanding group development; this framework highlights the two areas of focus that have dominated group development research in the past: group processes and outcomes. The second paper will build on the ideas developed here and discuss the implications of group development for GSS research.Previous research on group behavior suggests that groups change over time; patterns of change, referred to as group development models, have been an important area of study for the past four decades. For the first three of these decades, unitary models of group development were very popular; that is, the notion that all groups go through a certain series of predefined stages. In the last decade, however, researchers have cast doubt on such unitary models of group development. Nonsequential models that recognize the uniqueness of each group (and consequently reject the idea of a single, predetermined series of stages) have become increasingly popular. This paper examines the implications of these issues for researchers and managers of groups. It also attempts to serve as the foundation for the propositions developed in the next paper, in which the relevance of group development for GSS research and practice are discussed.     

A Multi-Agent View of Strategic Planning Using Group Support Systems and Artificial Intelligence

The strategic planning process is dynamic and complex. Including a Group Support System (GSS) in the problem-solving process can improve the content quality of the strategic plan by allowing increased participation by more members of the organization. However, it can also add to the complexity of the problem by increasing the quantity of textual information that can result from group activity. Added complexity increases cognitive overload and frustrations of those participants negotiating the contents of the strategic plan. This article takes a multi-agent view of the strategic planning process. It considers group participants as multiple agents concerned with the content quality of the strategic plan. The facilitator agent is responsible for guiding groups in the strategic plan construction process as well as for solving process problems such as cognitive overload. We introduce an AI Concept Categorizer agent, a software tool that supports the facilitator in addressing the process problem of cognitive overload associated with convergent group activities by synthesizing group textual output into conceptual clusters. The implementation of this tool reduces frustrations which groups encounter in the process of classifying textual output and provides more time for discussion of the concepts themselves. Because of the large amount of convergent activity necessary for strategic planning, the addition of the AI Concept Categorizer to the strategic planning process should increase the quality of the strategic plan and the buy-in of the participants in the strategic planning process.     

Multiple Criteria Decision Making Models in Group Decision Support

Use of multiple criteria decision making (MCDM) models to aid the group decision process was tested. Two multiple criteria group decision support systems (MCGDSS) were studied, one using the AHP/Tchebycheff method of Iz and the other using Kersten's NEGO system. These systems were compared with a commercial GDSS, VisionQuest. VisionQuest does not include multiple criteria tools. To make the study comparable, VisionQuest was augmented with an ad hoc linear programming model that could generate solutions with specified characteristics requested by the using group. The three systems were compared on the dimensions of solution quality and decision support effectiveness.One of the hypotheses was that MCDM models would force participants to examine criteria, preferences, and aspirations more thoroughly, thus leading to decisions of better quality. Subjects using the MCGDSSs were expected to have higher mean quality and effectiveness values. However, the quality and effectiveness values of the VisionQuest/ad hoc system were found to be better on the dimension of effectiveness. Explanations for this result are included in the paper.Another hypothesis was that the AHP/Tchebycheff method of Iz, a value-oriented system, would yield more effective group support than the goal-oriented NEGO system. However, the NEGO system was found to yield solutions with better quality measures than the solutions obtained with the AHP/Tchebycheff system.Observation of the groups using the MCDM systems indicate that both the AHP/Tchebycheff and NEGO methods can be revised to enhance their effectiveness. The primary difficulty encountered with the AHP/Tchebycheff method was in the large number of pairwise comparisons required by AHP. The NEGO method can be enhanced by including specification of desired attainment levels in the first stage of the method. Both MCDM techniques have potential to benefit group decision support by giving using groups a means to design better solutions.     

Smart Homes as a Means to Sustainable Energy Consumption: A Study of Consumer Perceptions

European and national policies are aimed at reducing greenhouse gases and increasing energy efficiency—also in the household sector. For this purpose, new solutions for private homes based on information and communication technologies (ICT) are being developed and tested. However, up to now, hardly anyone has seen, experienced or lived in an environment that offers the full range of ICT-based energy management solutions. In this study, consumer reactions to a fully furnished and equipped smart home are analysed using focus groups (four groups with a total of 29 participants). The analysis looks at consumer perceptions of and reactions to an energy management system which optimizes electricity consumption based on different ICT solutions. The topics that were demonstrated in practice and then discussed with the participants included variable tariffs, smart metering, smart appliances, and home automation. In general, there were positive group reactions to the smart home environment. Consumers saw many advantages for themselves; especially the chance to save money. However, giving up high levels of flexibility and adapting everyday routines to fit in with electricity tariffs were regarded as difficult. Smart appliances and smart meters were therefore considered to be necessary elements by most participants. Concerns regarding data privacy played a major role in one of the groups.     

Impacts of Asynchronous Learning Networks on Individual and Group Problem Solving: A Field Experiment

An Asynchronous Learning Network (ALN) is a Computer-Mediated Communication System designed to support "anytime/anywhere" interaction among students and between students and instructors. A field experiment compared groups and individuals solving an ethical case scenario, with and without an ALN, to determine the separate and joint effects of communication medium and teamwork. Dependent variables include quality and length of the reports, and subjective perceptions of learning and satisfaction. The results indicate that that an ALN enhances the quantity and quality of the solutions to an ethical case scenario. The combination of teamwork with ALN-support increases the students' perception of learning. Although the perception of collaborative learning was similar between ALN-supported and unsupported groups, participants in computer-mediated groups reported lower perceptions of discussion quality than participants in manual groups.     

A Longitudinal Analysis of Satisfaction with Group Work

Satisfaction with group work is an important and frequently studied phenomenon that often determines whether a new tool, technology, or method is successfully implemented in an organization. We report on a longitudinal study of small groups which used regression to model how satisfaction with the process, outcome, and group evolves over multiple sessions as a function of performance measures and prior satisfaction levels. The results indicated that current performance contributed less to satisfaction as the study proceeded and by the end of the study period satisfaction with the process and outcomes were determined almost exclusively by prior satisfaction levels. In general, the conclusions were dependent on the point in time at which the analysis was conducted and on the object of satisfaction under consideration. The results highlight the importance of longitudinal studies, rather than one-shot approaches, for understanding individual satisfaction with group work.