Journal article
Matching client/server processing architectures with information processing requirements: A contingency study
Information & management, v 34(5), pp 265-274
1998
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The 1990s are witnessing the rapid growth of client/server (C/S) computing, but for an organization to benefit from a C/S model, it should ensure that the processing architecture matches its information needs. Researchers have suggested that organizations moving to this model should identify their information requirements, and then determine the appropriate architectures to support them.
This study utilizes information processing theory to examine the match between an organization's information processing requirements and its C/S architectures. The independent variables in this study are task characteristics, and the processing architectures. The dependent variable is effectiveness. The data for this study was obtained from C/S managers and users in a variety of industries, through a combination of archival data, telephone interviews, and a mailed survey. It was analyzed using hierarchical regression. The results indicate that an appropriate match between task characteristics and C/S processing architectures is an important determinant of system effectiveness.
Metrics
Details
- Title
- Matching client/server processing architectures with information processing requirements: A contingency study
- Creators
- Murugan Anandarajan - Drexel UniversityBay Arinze - Drexel University
- Publication Details
- Information & management, v 34(5), pp 265-274
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000077188600002
- Scopus ID
- 2-s2.0-0347484338
- Other Identifier
- 991019167878204721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Information Science & Library Science
- Management