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Knowledge Value, Task Complexity, and Enterprise Technology Implementation: An Introductory Study

Knowledge Value, Task Complexity, and Enterprise Technology Implementation: An Introductory Study

Sharath Sasidharan
Copyright: © 2019 |Volume: 10 |Issue: 1 |Pages: 20
ISSN: 1947-9301|EISSN: 1947-931X|EISBN13: 9781522565925|DOI: 10.4018/IJTD.2019010102
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MLA

Sasidharan, Sharath. "Knowledge Value, Task Complexity, and Enterprise Technology Implementation: An Introductory Study." IJTD vol.10, no.1 2019: pp.19-38. http://doi.org/10.4018/IJTD.2019010102

APA

Sasidharan, S. (2019). Knowledge Value, Task Complexity, and Enterprise Technology Implementation: An Introductory Study. International Journal of Technology Diffusion (IJTD), 10(1), 19-38. http://doi.org/10.4018/IJTD.2019010102

Chicago

Sasidharan, Sharath. "Knowledge Value, Task Complexity, and Enterprise Technology Implementation: An Introductory Study," International Journal of Technology Diffusion (IJTD) 10, no.1: 19-38. http://doi.org/10.4018/IJTD.2019010102

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Abstract

Employees utilize their informal social networks for acquiring system-related knowledge during enterprise technology implementation. Prior research on knowledge acquisition through social networks has not considered the domain proficiency of knowledge sources or the quality of knowledge flows. This study assigns domain-proficiency levels to knowledge sources and introduces the concept of knowledge value: the net impact of acquired knowledge on performance outcomes. Conceptualized as the differential in the domain proficiency of the knowledge source and the knowledge recipient, knowledge value is examined in the context of both factual and applied knowledge, in relation to task complexity and its influence on performance outcomes. Data collected during the implementation of an enterprise resource planning system indicate that knowledge value has a significant impact on performance outcomes, but the impact of applied knowledge is moderated by task complexity. The results stress the importance of considering domain proficiency of knowledge sources during knowledge-network modelling.

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