Applying fuzzy integral for evaluating intensity of knowledge work in jobs

In this article, a framework is proposed to define and identify knowledge work intensity in jobs, quantitatively. For determining the Knowledge Work Intensity Score (KWIS) of a job, it is supposed that the job comprises some tasks and KWIS of the job is determined based on knowledge intensity of the...

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Bibliographic Details
Published in:International journal of industrial engineering computations 2013, Vol.4 (4), p.517-534
Main Authors: Heidary Dahooie, Jalil, Ghezel Arsalan, Mohammad Reza
Format: Article
Language:English
Subjects:
Computation
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Summary:In this article, a framework is proposed to define and identify knowledge work intensity in jobs, quantitatively. For determining the Knowledge Work Intensity Score (KWIS) of a job, it is supposed that the job comprises some tasks and KWIS of the job is determined based on knowledge intensity of these tasks. Functional Job Analysis (FJA) method is applied to determine tasks of jobs and then Task's Knowledge Intensity Score (TKIS) is computed by using Fuzzy integral method. Besides, importance weight and time weight of tasks are determined by utilizing appropriate methods. Finally, KWIS is calculated by a formula composed of tasks' TKISs and the weights. For evaluating applicability of the framework, it is applied to calculate KWISs of two jobs (Deputy of Finance and service, Laboratory technician). [copy 2013 Growing Science Ltd. All rights reserved
ISSN:1923-2926
1923-2934
DOI:10.5267/j.ijiec.2013.06.003