A Study on the Relationship Between Task, Information, and Individual Performance
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Date
2016
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Ltd.
Open Access Color
BRONZE
Green Open Access
Yes
OpenAIRE Downloads
0
OpenAIRE Views
2
Publicly Funded
No
Abstract
The goal of this study was to find an abstract model that would address the relationship between information and task and thus lead to better business performance. The relationships among information, task, and performance are analyzed in the natural environment against job-related beliefs and technology. The final instrument was applied to professionals mainly from the Finance and Information and Communication Technology (ICT) sectors. Statistical analyses were used to quantify the relationships. The goal of the study was also to develop a model of task information fit (TIF). Results indicate that the tool has been successful and models the underlying structure between system characteristics, task characteristics, information characteristics, and their impact on perceived business success to some degree. A reduced TIF model was targeted to discover the relation between task characteristics, information characteristics, and their effect on business performance on a per-item basis. The correlations between the items supported the proposed relations.
Description
Keywords
Business performance, Information and Communication Technology sectors, Abstract modeling, Task information fit, Task information fit, Information and Communication Technology sectors, Business performance, Abstract modeling
Fields of Science
0502 economics and business, 05 social sciences
Citation
Çayır, S., Başoğlu, A. N., and Daim, T. U. (2016). A study on the relationship between task, information, and individual performance. Technology in Society, 46, 1-9. doi:10.1016/j.techsoc.2016.02.002
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
6
Source
Technology in Society
Volume
46
Issue
Start Page
1
End Page
9
PlumX Metrics
Citations
CrossRef : 2
Scopus : 7
Captures
Mendeley Readers : 56
SCOPUS™ Citations
7
checked on Apr 27, 2026
Web of Science™ Citations
6
checked on Apr 27, 2026
Page Views
7490
checked on Apr 27, 2026
Downloads
645
checked on Apr 27, 2026
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