Nor Alisa, Mohd Damanhuri and Mohd Rusllim, Mohamed and Siti Zanariah, Satari and N., Masngut and Roslinazairimah, Zakaria and Rozieana, Khairuddin (2019) Managing productivity in Universiti Malaysia Pahang: Rethinking the whom, which, what, and whose of productivity. In: ICOAIMS 2019: 2nd International Conference On Applied & Industrial Mathematics And Statistics 2019 , 23-25 July 2019 , The Zenith Hotel Kuantan. pp. 1-7.. (Unpublished)
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Abstract
Drawing on reviews of scholarly literature, this study suggests rethinking productivity in Universiti Malaysis Pahang (UMP) along four dimensions: the productivity of whom, productivity for which unit of analysis, productivity according to what functions, and productivity in whose interests. It offers principles for promoting enlightened discussion and pursuit of productivity of academic staff at UMP. In contrast to the dominant discussion, which emphasises focus, centralised standard measures, and accountability, the bias unfairness in this study is toward balance, decentralised diversity, and recalibration. Academic Differentiated Career Pathways (ADCAP) suggest the ideal is not for academic staff and faculties to produce to centrally managed objectives but for all individuals and units faculties to manage individually and collectively to design their work to improve their productivity along multiple dimensions.
Item Type: | Conference or Workshop Item (Lecture) |
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Uncontrolled Keywords: | Talent Management; Academic Promotion; Academic Career Development; Differentiated Career Pathways |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TP Chemical technology |
Faculty/Division: | Faculty of Chemical & Natural Resources Engineering Faculty of Electrical & Electronic Engineering Faculty of Industrial Sciences And Technology |
Depositing User: | Pn. Hazlinda Abd Rahman |
Date Deposited: | 23 Dec 2019 02:47 |
Last Modified: | 23 Dec 2019 02:47 |
URI: | http://umpir.ump.edu.my/id/eprint/26366 |
Download Statistic: | View Download Statistics |
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