Human Resource Allocation in a CPA Firm: A Fuzzy Set Approach |
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Authors: | Kwak Wikil Shi Yong Jung Kooyul |
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Institution: | (1) Department of Accounting, College of Business Administration, University of Nebraska at, Omaha, U.S.A.;(2) College of Information Science and Technology, University of Nebraska at Omaha, Omaha, Nebraska, 68182 |
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Abstract: | The review of existing human resource allocation models for a CPA firm shows that there are major shortcomings in the previous mathematical models. First, linear programming models cannot handle multiple objective human resource allocation problems for a CPA firm. Second, goal programming or multiple objective linear programming (MOLP) cannot deal with the organizational differentiation problems. To reduce the complexity in computing the trade-offs among multiple objectives, this paper adopts a fuzzy set approach to solve human resource allocation problems. A solution procedure is proposed to systematically identify a satisfying selection of possible staffing solutions that can reach the best compromise value for the multiple objectives and multiple constraint levels. The fuzzy solution can help the CPA firm make a realistic decision regarding its human resource allocation problems as well as the firm's overall strategic resource management when environmental factors are uncertain. |
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Keywords: | a fuzzy set human resource allocation accounting firm |
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