Knowledge acquisition in human resource management based on rough sets

Shinya Imai, Che Wei Lin, Junzo Watada, Gwo Hshiung Tzeng

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    It is essential in an IT corporation to improve competitive advantage and increase organizational performance. Employees are a key factor of company's success. Rough sets analysis can support us in dealing with human resource and customer relationship, as well as in recognizing what employees' characteristic is influential in building relationship with customers. Rough sets theory is a different mathematical approach to deal with vagueness and uncertainty, and can change a qualitative problem into a quantitative one as well as obtaining its answer. It will give useful and valuable information and provide guidelines to a decision maker. The objective of the paper is to clarify, through the rough sets analysis, what kinds of features and behaviors of the employees create a good relationship and result in a bad relationship with customers. The rough sets approach differentiates between those two groups and in the end of this paper we suggest some policies to improve human resource management, customer relationship management and their development The proper management of employees and customers will ensure the project success and good performance of a corporation.

    Original languageEnglish
    Title of host publicationPICMET: Portland International Center for Management of Engineering and Technology, Proceedings
    Pages969-974
    Number of pages6
    DOIs
    Publication statusPublished - 2008
    Event2008 Portland International Center for Management of Engineering and Technology, Technology Management for a Sustainable Economy, PICMET '08 - Cape Town
    Duration: 2008 Jul 272008 Jul 31

    Other

    Other2008 Portland International Center for Management of Engineering and Technology, Technology Management for a Sustainable Economy, PICMET '08
    CityCape Town
    Period08/7/2708/7/31

    ASJC Scopus subject areas

    • Business, Management and Accounting(all)
    • Management of Technology and Innovation
    • Strategy and Management
    • Management Science and Operations Research

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  • Cite this

    Imai, S., Lin, C. W., Watada, J., & Tzeng, G. H. (2008). Knowledge acquisition in human resource management based on rough sets. In PICMET: Portland International Center for Management of Engineering and Technology, Proceedings (pp. 969-974). [4599705] https://doi.org/10.1109/PICMET.2008.4599705