Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386421782> ?p ?o ?g. }
- W4386421782 endingPage "590" @default.
- W4386421782 startingPage "552" @default.
- W4386421782 abstract "Purpose This paper aims to examine the influence of big data (BD) on human resource management (HRM). It defines how these data can be a useful tool in the decision-making process of companies’ human resources to obtain a sustainable competitive advantage. Design/methodology/approach This paper emphasizes the need to develop a holistic approach to emphasize these relations. Starting from these observations, the document proposes empirical research employing Eurostat data to test the benefits of BD in HRM decisions that optimize the relationship between training, productivity, and well-being. Findings The findings estimate HRM decisions and their impact in a broader macroeconomic and microeconomic perspective. Originality/value BD research is emerging as a crucial discipline in human resources. To overcome this problem, the paper develops an analysis of the literature on cleaner production and sustainability context; it creates a conceptual framework to clarify whether the existing studies consider the growing intensity of BD on human resources." @default.
- W4386421782 created "2023-09-05" @default.
- W4386421782 creator A5002867935 @default.
- W4386421782 creator A5016651712 @default.
- W4386421782 creator A5059899728 @default.
- W4386421782 creator A5062544556 @default.
- W4386421782 date "2023-08-31" @default.
- W4386421782 modified "2023-09-30" @default.
- W4386421782 title "Big data and human resource management: paving the way toward sustainability" @default.
- W4386421782 cites W1977076722 @default.
- W4386421782 cites W1997752435 @default.
- W4386421782 cites W2010053310 @default.
- W4386421782 cites W2015272452 @default.
- W4386421782 cites W2079775125 @default.
- W4386421782 cites W2094914587 @default.
- W4386421782 cites W2106956101 @default.
- W4386421782 cites W2118328848 @default.
- W4386421782 cites W2121934066 @default.
- W4386421782 cites W2123709218 @default.
- W4386421782 cites W2144341704 @default.
- W4386421782 cites W2144502588 @default.
- W4386421782 cites W2176923026 @default.
- W4386421782 cites W2177134866 @default.
- W4386421782 cites W2266934531 @default.
- W4386421782 cites W2277786047 @default.
- W4386421782 cites W2285118877 @default.
- W4386421782 cites W2302800291 @default.
- W4386421782 cites W2407961458 @default.
- W4386421782 cites W2435790512 @default.
- W4386421782 cites W2505786633 @default.
- W4386421782 cites W2515300481 @default.
- W4386421782 cites W2522629521 @default.
- W4386421782 cites W2526781987 @default.
- W4386421782 cites W2544685225 @default.
- W4386421782 cites W2553275503 @default.
- W4386421782 cites W2571329237 @default.
- W4386421782 cites W2593952285 @default.
- W4386421782 cites W2622186323 @default.
- W4386421782 cites W2735541318 @default.
- W4386421782 cites W2735550156 @default.
- W4386421782 cites W2735685107 @default.
- W4386421782 cites W2752628211 @default.
- W4386421782 cites W2758639114 @default.
- W4386421782 cites W2761909066 @default.
- W4386421782 cites W2768273372 @default.
- W4386421782 cites W2781675825 @default.
- W4386421782 cites W2787300578 @default.
- W4386421782 cites W2789944957 @default.
- W4386421782 cites W2799610111 @default.
- W4386421782 cites W2803201508 @default.
- W4386421782 cites W2804254690 @default.
- W4386421782 cites W2808773314 @default.
- W4386421782 cites W2886184010 @default.
- W4386421782 cites W2887485864 @default.
- W4386421782 cites W2890752553 @default.
- W4386421782 cites W2897127561 @default.
- W4386421782 cites W2907622895 @default.
- W4386421782 cites W2912733649 @default.
- W4386421782 cites W2913040902 @default.
- W4386421782 cites W2916423593 @default.
- W4386421782 cites W2921127144 @default.
- W4386421782 cites W2939010795 @default.
- W4386421782 cites W2942552362 @default.
- W4386421782 cites W2946460366 @default.
- W4386421782 cites W2946885706 @default.
- W4386421782 cites W2951456998 @default.
- W4386421782 cites W2954547370 @default.
- W4386421782 cites W2955774022 @default.
- W4386421782 cites W2961351049 @default.
- W4386421782 cites W2963591109 @default.
- W4386421782 cites W2965090413 @default.
- W4386421782 cites W2974314453 @default.
- W4386421782 cites W2976689229 @default.
- W4386421782 cites W2979485434 @default.
- W4386421782 cites W2981094098 @default.
- W4386421782 cites W2981161872 @default.
- W4386421782 cites W2984605343 @default.
- W4386421782 cites W2985079373 @default.
- W4386421782 cites W2985470681 @default.
- W4386421782 cites W2989240182 @default.
- W4386421782 cites W2991407254 @default.
- W4386421782 cites W3022527734 @default.
- W4386421782 cites W3024473939 @default.
- W4386421782 cites W3030918247 @default.
- W4386421782 cites W3036414692 @default.
- W4386421782 cites W3048406420 @default.
- W4386421782 cites W3121207610 @default.
- W4386421782 cites W3125092875 @default.
- W4386421782 cites W4236733794 @default.
- W4386421782 cites W4244424873 @default.
- W4386421782 doi "https://doi.org/10.1108/ejim-01-2023-0048" @default.
- W4386421782 hasPublicationYear "2023" @default.
- W4386421782 type Work @default.
- W4386421782 citedByCount "0" @default.
- W4386421782 crossrefType "journal-article" @default.
- W4386421782 hasAuthorship W4386421782A5002867935 @default.
- W4386421782 hasAuthorship W4386421782A5016651712 @default.
- W4386421782 hasAuthorship W4386421782A5059899728 @default.