The use of spatial data mining methods for modeling HR challenges of generation Z in greater Poland Region-Reference-Cited by-同舟云学术

The use of spatial data mining methods for modeling HR challenges of generation Z in greater Poland Region

Published:2022-06-12 Issue:1 Volume:31 Page:205-237
ISSN:1435-246X
Container-title:Central European Journal of Operations Research
language:en
Short-container-title:Cent Eur J Oper Res

Author:

Graczyk-Kucharska Magdalena^ORCID,Olszewski Robert^ORCID,Weber Gerhard-Wilhelm^ORCID

Funder

Politechnika Poznańska

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research

Link

https://link.springer.com/content/pdf/10.1007/s10100-022-00805-5.pdf

Reference99 articles.

1. Adi E, Anwar A, Baig Z, Zeadally S (2020) Machine learning and data analytics for the IoT. Neural Comput Appl 32(20):16205–16233. https://doi.org/10.1007/s00521-020-04874-y

2. Ashraf MA (2019) The mediating effect of service quality and organizational commitment on the effect of management process alignment on higher education performance in Makassar, Indonesia. J Organ Change Manag 31(2):410–425. https://doi.org/10.1108/JOCM-11-2016-0247

3. Balachandar A, Kulkarni AD (2018) Recruitment Chatbot. Int Res J Eng Technol (IRJET) 5(8):1248–1250. https://www.irjet.net/archives/V5/i8/IRJET-V5I8212.pdf. Accessed 26 Feb 2021

4. Batrinca B, Treleaven PC (2014) Social media analytics: a survey of techniques, tools and platforms. AI Soc 30(1):89–116. https://doi.org/10.1007/s00146-014-0549-4

5. Beynon MJ, Jones P, Pickernell D (2019) The role of entrepreneurship, innovation, and urbanity-diversity on growth, unemployment, and income: US state-level evidence and an fsQCA elucidation. J Bus Res 101:675–687. https://doi.org/10.1016/j.jbusres.2019.01.074

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