000			04399nam a22003137a 4500
003			KOHA
005			20230425083237.0
008			221018d2022 cy ||||| m||| 00| 0 eng d
040			_aCY-NiCIU _beng _cCY-NiCIU _erda
041			_aeng
090			_aYL 2573 _bW23 2022
100	1		_aWabara, Chibuikem
245	1	4	_aTHE EFFECTS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING ON HUMAN RESOURCES MANAGEMENT: _bA QUALITATIVE ANALYSIS / _cCHIBUIKEM WABARA; SUPERVISOR: PROF. DR. ŞİRİN ATAKAN DUMAN
264			_c2022
300			_a44 sheets; _c31 cm. _eIncludes CD
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
502			_aThesis (MBA) - Cyprus International University. Institute of Graduate Studies and Research Business Administration Department
504			_aIncludes bibliography (sheets 39-44)
520			_aABSTRACT Advancements in technology have revolutionized most business practices including marketing, finance, accounting etc. One major area of business in which organizations have been reluctant to introduce advanced and complex technology is Human Resource Management (HRM). This misconception that HRM must be done by humans has caused some friction in the implementation of advanced technologies in this sector. The emergence of Artificial Intelligence (AI) has provided a platform for analyzing large samples of data and improves organizations' decision making processes. However companies around the world have been hesitant and extremely slow to adapt and implement this technology, this hesitation is ever so clearly observed in HRM operations of organizations. The core objective of this research study is to explore the application, benefits, and challenges of integration, as well as the limitations of Machine Learning (ML) and Artificial Intelligence (AI) on HRM. This study was designed as a qualitative study, involving secondary sources of interviews with human resources professionals from different companies. The research has an exploratory approach that uses the data collected through interviews to identify the various methods in which artificial intelligence is used in human resources management operations. The benefits reaped and the problems faced through using AI in HRM were explored. This study is relevant and most importantly beneficial to organizations that seek to enhance and boost the effectiveness and efficiency of their human resources management functions by leveraging the power of advancements in technology. The study results revealed that 34 major themes are distinctive in identifying the relationship between AI and ML, and HRM. Those themes have been categorized according to their similarities and 7 main theme categories were generated: (1) Quality, (2) Outputs/Advantages, (3) Systems, (4) HRM Practices, (5) Processes, (6) Inputs, and (7) AI Applications. The results revealed that the major theme researchers utilize is the AI application theme category and mainly researchers emphasize those applications to improve HRM. Secondly, it is understood from the results that researchers stress outputs and the advantages that are achieved when conceptualizing these two concepts. Highly emphasized themes are reputation, productivity, management support, awareness, and practical implications achieved. The study results showed that personnel management is associated with the concepts of HRM and AI. The consulting services subject area, education, and public health follow the personnel management subject area. Researchers also associated machine learning, employee selection, retrieval systems, and Covid-19 with HRM and AI. Those results indicate that researchers mainly associate the relationship of HRM and AI with the related practices of those concepts as HR practices (such as, personnel management and employee selection) and AI practices (such as, machine learning and retrieval systems). Keywords: Artificial Intelligence, Human Resource Management, Machine Learning, Qualitative Research.
650		0	_aArtificial intelligence _vDissertations, Academic
650		0	_aHuman capital _vDissertations, Academic
650		0	_aMachine learning _vDissertations, Academic
650		0	_aQualitative research _vDissertations, Academic
700	1		_aDuman, Şirin Atakan _esupervisor
942			_2ddc _cTS
999			_c285429 _d285429