An analysis of communication mode in group support systems research

نویسنده

  • Jerry Fjermestad
چکیده

Group support systems (GSS) have been the subject of many investigations and meta-analyses over the past decade. This study presents, summarizes, and analyzes the results of 145 experiments that used communication mode as an independent variable. The results show that the modal outcome for GSSs compared to Face-to-Face (FtF) methods is ‘‘no difference,’’ while the overall percentage of positive effects for results that compare GSS to FtF is 29.2%. The results suggest that the use of a GSS improves decision quality, depth of analysis, equality of participation, and satisfaction over manual methods. Additionally, more detailed analysis suggests that task type, GSS type and the interaction of both have a moderating effect on adaptation and outcome factors. Specifically, groups working on idea generation tasks using GSS decision room technology improve to 39.6% (GSS>FtF) effect. Conversely, asynchronous computer-mediated communication (CMC) groups working on decision making tasks improved to 46.4% (GSS>FtF) effect. FtF groups show higher levels of consensus and perceived quality, communicate more, and are more efficient (requiring less time to complete the tasks). No differences are observed between FtF and GSS groups on satisfaction and usability. D 2003 Elsevier B.V. All rights reserved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

EEG Artifact Removal System for Depression Using a Hybrid Denoising Approach

Introduction: Clinicians use several computer-aided diagnostic systems for depression to authorize their diagnosis. An electroencephalogram  (EEG) may be used as an objective tool for early diagnosis of depression and controlling it from reaching a severe and permanent state. However, artifact contamination reduces the accuracy in EEG signal processing systems. Methods: This work proposes a no...

متن کامل

Anti-Synchronization of Complex Chaotic T-System Via Optimal Adaptive Sliding-Mode and Its Application In Secure Communication

In this paper, an optimal adaptive sliding mode controller is proposed for anti-synchronization of two identical hyperchaotic systems. We use hyperchaotic complex T-system for master and slave systems with unknown parameters in the slave system. To construct the optimal adaptive sliding mode controller, first a simple sliding surface is designed. Then, the optimal adaptive sliding mode controll...

متن کامل

Modified Sliding-Mode Control Method for Synchronization a Class of Chaotic Fractional-Order Systems with Application in Encryption

In this study, we propose a secure communication scheme based on the synchronization of two identical fractional-order chaotic systems. The fractional-order derivative is in Caputo sense, and for synchronization, we use a robust sliding-mode control scheme. The designed sliding surface is taken simply due to using special technic for fractional-order systems. Also, unlike most manuscripts, the ...

متن کامل

An Improved Modular Modeling for Analysis of Closed-Cycle Absorption Cooling Systems

A detailed modular modeling of an absorbent cooling system is presented in this paper. The model including the key components is described in terms of design parameters, inputs, control variables, and outputs. The model is used to simulate the operating conditions for estimating the behavior of individual components and system performance, and to conduct a sensitivity analysis based on the give...

متن کامل

A review on EEG based brain computer interface systems feature extraction methods

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Decision Support Systems

دوره 37  شماره 

صفحات  -

تاریخ انتشار 2004