Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2020.1810093
A multi-attribute framework for the selection of high-performance work systems: the hybrid DEMATEL-MABAC model
Mehrdad Estiri
Jalil Heidary Dahooie
Amir Salar Vanaki
Audrius Banaitis
Arūnė Binkytė-Vėlienė
Sažetak
Research in strategic human resource management indicates that
high performance work systems (HPWS) have a positive impact
on the overall performance of an organization as a result of better human resource (HR) outcomes. Regarding the multi-dimensional and complex nature of these factors, common statistical
models are not useful for examining the performance of HPWS.
Using the capabilities of multi-attribute decision-making (MADM)
methods to deal with various criteria that may be contradictory,
this study proposes a MADM-based framework that provides the
opportunity to prioritize HR practices. Based on this framework,
high-performance HR practices and their related HR outcomes
were identified after studying the theoretical literature and ascertaining the views of decision-makers and HR experts. Then, after
looking at the interactions among HR outcomes, the weights of
the criteria were calculated using the method of the decision
making trial and evaluation laboratory (DEMATEL). Then, the alternatives were ranked using the multi-attributive border approximation area comparison (MABAC) method. Finally, the designed
framework was implemented in an organization active in the
banking industry. This framework can be used to improve
employees’ performance and, consequently, the performance of
the organization. Accordingly, taking into account the resource
constraints organizations face, the priorities presented can be
helpful in budgeting human-resource-management (HRM)
improvement projects and making an appropriate resource allocation for this.
Ključne riječi
High-performance work systems; human resource outcomes; strategic human resource management; DEMATEL; MABAC
Hrčak ID:
301198
URI
Datum izdavanja:
31.12.2021.
Posjeta: 304 *