Inter-Group Collaboration: Factoring Technology Characteristics and Task Type

Inter-Group Collaboration: Factoring Technology Characteristics and Task Type

Wesley Shu, Hota Chia-Sheng Lin, George Wang
ISBN13: 9781522519188|ISBN10: 1522519181|EISBN13: 9781522519195
DOI: 10.4018/978-1-5225-1918-8.ch037
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MLA

Shu, Wesley, et al. "Inter-Group Collaboration: Factoring Technology Characteristics and Task Type." Remote Work and Collaboration: Breakthroughs in Research and Practice, edited by Information Resources Management Association, IGI Global, 2017, pp. 707-727. https://doi.org/10.4018/978-1-5225-1918-8.ch037

APA

Shu, W., Lin, H. C., & Wang, G. (2017). Inter-Group Collaboration: Factoring Technology Characteristics and Task Type. In I. Management Association (Ed.), Remote Work and Collaboration: Breakthroughs in Research and Practice (pp. 707-727). IGI Global. https://doi.org/10.4018/978-1-5225-1918-8.ch037

Chicago

Shu, Wesley, Hota Chia-Sheng Lin, and George Wang. "Inter-Group Collaboration: Factoring Technology Characteristics and Task Type." In Remote Work and Collaboration: Breakthroughs in Research and Practice, edited by Information Resources Management Association, 707-727. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1918-8.ch037

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Abstract

The purpose of this paper is to extend the theory of task/technology fit by exploring the impact of different technology characteristics on performance of preference and intellective tasks in an inter-group context. The authors tested 80 participants on group performance using a 2x2 factorial design with task type and mode of collaboration as the independent variables. Structural equation modeling was employed to test the research model and t-tests to evaluate their hypotheses. The authors confirmed their hypothesis that the use of wiki, a technology with many elaborate technology characteristics, created a better task/technology fit than use of the more conventional email/word processor. The wiki group also demonstrated better productivity, decision quality, and satisfaction than the email/word processor group. Differences in task type, intellective vs. preference, had no effect on group performance. The authors extended the task/technology fit model by examining how different combinations of task type and technology characteristics affect team performance in the context of inter-group collaboration.

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