Ranking of human resource management strategies through technique of order preference by similarity to ideal vector (TOPSIV)

Hossein Safari; Virgilio Cruz-Machado; Sara Samkhani; Meysam Maleki; Fatemeh Mirzaeirabor; Eduard Shevtshenko

Ranking of human resource management strategies through technique of order preference by similarity to ideal vector (TOPSIV)

Hossein Safari, Virgilio Cruz-Machado, Sara Samkhani, Meysam Maleki, Fatemeh Mirzaeirabor, Eduard Shevtshenko

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Human resource management strategy provides means by which organization enhance their competitiveness and promote efficiency. It develops the work force that helps the organization to achieve its goal and missions. The linkage between business strategy and human resource management strategy lead to better performance for organizations. This paper attempts to discover which human resource strategy is most appropriate based on corresponding business strategies. A modified similarity technique was used in the decision making phase. Results are presented according to the analysis of questionnaires completed by experts in a manufacturing company. Findings confirm that there can be prioritized list of human resource management strategies based on business strategies.

Original language	English
Title of host publication	Proceedings of the 32nd International Business Information Management Association Conference, IBIMA 2018 - Vision 2020: Sustainable Economic Development and Application of Innovation Management from Regional expansion to Global Growth
Editors	Khalid S. Soliman
Publisher	International Business Information Management Association, IBIMA
Pages	478-490
Number of pages	13
ISBN (Electronic)	9780999855119
Publication status	Published - 1 Jan 2019
Event	32nd International Business Information Management Association Conference, IBIMA 2018 - Seville, Spain Duration: 15 Nov 2018 → 16 Nov 2018

Conference

Conference	32nd International Business Information Management Association Conference, IBIMA 2018
Country	Spain
City	Seville
Period	15/11/18 → 16/11/18

Keywords

Human Resource Management
Human Resource Strategy
Multi Attribute Decision Making (MADM)
Similarity Technique
TOPSIV

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Safari, H., Cruz-Machado, V., Samkhani, S., Maleki, M., Mirzaeirabor, F., & Shevtshenko, E. (2019). Ranking of human resource management strategies through technique of order preference by similarity to ideal vector (TOPSIV). In K. S. Soliman (Ed.), Proceedings of the 32nd International Business Information Management Association Conference, IBIMA 2018 - Vision 2020: Sustainable Economic Development and Application of Innovation Management from Regional expansion to Global Growth (pp. 478-490). International Business Information Management Association, IBIMA.

Safari, Hossein ; Cruz-Machado, Virgilio ; Samkhani, Sara ; Maleki, Meysam ; Mirzaeirabor, Fatemeh ; Shevtshenko, Eduard. / Ranking of human resource management strategies through technique of order preference by similarity to ideal vector (TOPSIV). Proceedings of the 32nd International Business Information Management Association Conference, IBIMA 2018 - Vision 2020: Sustainable Economic Development and Application of Innovation Management from Regional expansion to Global Growth. editor / Khalid S. Soliman. International Business Information Management Association, IBIMA, 2019. pp. 478-490

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abstract = "Human resource management strategy provides means by which organization enhance their competitiveness and promote efficiency. It develops the work force that helps the organization to achieve its goal and missions. The linkage between business strategy and human resource management strategy lead to better performance for organizations. This paper attempts to discover which human resource strategy is most appropriate based on corresponding business strategies. A modified similarity technique was used in the decision making phase. Results are presented according to the analysis of questionnaires completed by experts in a manufacturing company. Findings confirm that there can be prioritized list of human resource management strategies based on business strategies.",

keywords = "Human Resource Management, Human Resource Strategy, Multi Attribute Decision Making (MADM), Similarity Technique, TOPSIV",

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Safari, H, Cruz-Machado, V, Samkhani, S, Maleki, M, Mirzaeirabor, F & Shevtshenko, E 2019, Ranking of human resource management strategies through technique of order preference by similarity to ideal vector (TOPSIV). in KS Soliman (ed.), Proceedings of the 32nd International Business Information Management Association Conference, IBIMA 2018 - Vision 2020: Sustainable Economic Development and Application of Innovation Management from Regional expansion to Global Growth. International Business Information Management Association, IBIMA, pp. 478-490, 32nd International Business Information Management Association Conference, IBIMA 2018, Seville, Spain, 15/11/18.

Ranking of human resource management strategies through technique of order preference by similarity to ideal vector (TOPSIV). / Safari, Hossein; Cruz-Machado, Virgilio; Samkhani, Sara; Maleki, Meysam; Mirzaeirabor, Fatemeh; Shevtshenko, Eduard.

Proceedings of the 32nd International Business Information Management Association Conference, IBIMA 2018 - Vision 2020: Sustainable Economic Development and Application of Innovation Management from Regional expansion to Global Growth. ed. / Khalid S. Soliman. International Business Information Management Association, IBIMA, 2019. p. 478-490.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Safari, Hossein

AU - Cruz-Machado, Virgilio

AU - Samkhani, Sara

AU - Maleki, Meysam

AU - Mirzaeirabor, Fatemeh

AU - Shevtshenko, Eduard

N1 - Sem PDF conforme despacho.

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Y1 - 2019/1/1

N2 - Human resource management strategy provides means by which organization enhance their competitiveness and promote efficiency. It develops the work force that helps the organization to achieve its goal and missions. The linkage between business strategy and human resource management strategy lead to better performance for organizations. This paper attempts to discover which human resource strategy is most appropriate based on corresponding business strategies. A modified similarity technique was used in the decision making phase. Results are presented according to the analysis of questionnaires completed by experts in a manufacturing company. Findings confirm that there can be prioritized list of human resource management strategies based on business strategies.

AB - Human resource management strategy provides means by which organization enhance their competitiveness and promote efficiency. It develops the work force that helps the organization to achieve its goal and missions. The linkage between business strategy and human resource management strategy lead to better performance for organizations. This paper attempts to discover which human resource strategy is most appropriate based on corresponding business strategies. A modified similarity technique was used in the decision making phase. Results are presented according to the analysis of questionnaires completed by experts in a manufacturing company. Findings confirm that there can be prioritized list of human resource management strategies based on business strategies.

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BT - Proceedings of the 32nd International Business Information Management Association Conference, IBIMA 2018 - Vision 2020: Sustainable Economic Development and Application of Innovation Management from Regional expansion to Global Growth

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Safari H, Cruz-Machado V, Samkhani S, Maleki M, Mirzaeirabor F, Shevtshenko E. Ranking of human resource management strategies through technique of order preference by similarity to ideal vector (TOPSIV). In Soliman KS, editor, Proceedings of the 32nd International Business Information Management Association Conference, IBIMA 2018 - Vision 2020: Sustainable Economic Development and Application of Innovation Management from Regional expansion to Global Growth. International Business Information Management Association, IBIMA. 2019. p. 478-490