COPING MECHANISMS OF BURNOUT ON HUMAN RESOURCE MANAGEMENT AND HOTEL EMPLOYEES / SIMON ONYEDIKACHI SIMON; SUPERVISOR: ASSOC. PROF. DR. ORHAN ULUDAĞ

Yazar: Katkıda bulunan(lar):Dil: İngilizce 2022Tanım: 65 sheets; 31 cm. Includes CDİçerik türü:
  • text
Ortam türü:
  • unmediated
Taşıyıcı türü:
  • volume
Diğer başlık:
  • TESTING THE EFFECTS OF ARTIFICIAL INTELLIGENCE AND WELLBEING
Konu(lar): Tez notu: Thesis (MSc) - Cyprus International University. Institute of Graduate Studies and Research Tourism and Hotel Management Department Özet: ABSTRACT This research tends to investigate Coping Mechanisms of Burnout on Human Resource Management and Hotel Employees: Testing the Effects of Artificial Intelligence and Wellbeing from hotels ((n=200) employees in Abuja, Nigerian. The purpose of this study is to investigate the relationship between Artificial Intelligence (Decision Support System), Human Resource Administration (Recruitment and Selection), Employees Psychological wellbeing and Burnout in Hotels in Abuja, Nigeria and to investigate what extent Hotels in Abuja, Nigeria have invested into Artificial Intelligence. A quantitative research methodology was used to design the research questions. Different tested questionnaires were used to collect data from hotels in Abuja Nigeria from 12 of April to 26 of June, 2022. Tables, figures, frequency with the help of SPSS were used to calculate and analyze data which were gathered. Our findings show that there is a positive relationship between AI and HRM, and a negative relationship between HRM and Burnout more so there is a negative relationship between AI, EPWB and Burnout in the hotel industry also results from this investigation reveals that HRM mediates the relationship between AI and Burnout, EPWB mediates the relationship between AI and Burnout. This research was concluded by encouraging hotel industries to invest in to artificial intelligence in order to help HRM cope with burnout. On the other hand, managers and stakeholders should introduce special coping mechanisms like, Employees training, awareness and educating employees (AI Knowledge Management) on how to cope with Artificial Intelligence for frontline employees. Keywords: Abuja, Artificial Intelligence, Decision Support System, Frontline Employees, Hotels, Human Resource Management, Knowledge Management, Psychological wellbeing.
Materyal türü: Thesis
Mevcut
Materyal türü Geçerli Kütüphane Koleksiyon Yer Numarası Durum Notlar İade tarihi Barkod Materyal Ayırtmaları
Thesis Thesis CIU LIBRARY Tez Koleksiyonu Tez Koleksiyonu YL 2706 S46 2022 (Rafa gözat(Aşağıda açılır)) Kullanılabilir Tourism and Hotel Management Department T3035
Suppl. CD Suppl. CD CIU LIBRARY Görsel İşitsel YL 2706 S46 2022 (Rafa gözat(Aşağıda açılır)) Kullanılabilir Tourism and Hotel Management Department CDT3035
Toplam ayırtılanlar: 0

Thesis (MSc) - Cyprus International University. Institute of Graduate Studies and Research Tourism and Hotel Management Department

Includes bibliography (sheets 48-53)

ABSTRACT
This research tends to investigate Coping Mechanisms of Burnout on Human Resource
Management and Hotel Employees: Testing the Effects of Artificial Intelligence and
Wellbeing from hotels ((n=200) employees in Abuja, Nigerian. The purpose of this
study is to investigate the relationship between Artificial Intelligence (Decision
Support System), Human Resource Administration (Recruitment and Selection),
Employees Psychological wellbeing and Burnout in Hotels in Abuja, Nigeria and to
investigate what extent Hotels in Abuja, Nigeria have invested into Artificial
Intelligence. A quantitative research methodology was used to design the research
questions. Different tested questionnaires were used to collect data from hotels in
Abuja Nigeria from 12 of April to 26 of June, 2022. Tables, figures, frequency with
the help of SPSS were used to calculate and analyze data which were gathered. Our
findings show that there is a positive relationship between AI and HRM, and a negative
relationship between HRM and Burnout more so there is a negative relationship
between AI, EPWB and Burnout in the hotel industry also results from this
investigation reveals that HRM mediates the relationship between AI and Burnout,
EPWB mediates the relationship between AI and Burnout. This research was
concluded by encouraging hotel industries to invest in to artificial intelligence in order
to help HRM cope with burnout. On the other hand, managers and stakeholders should
introduce special coping mechanisms like, Employees training, awareness and
educating employees (AI Knowledge Management) on how to cope with Artificial
Intelligence for frontline employees.
Keywords: Abuja, Artificial Intelligence, Decision Support System, Frontline
Employees, Hotels, Human Resource Management, Knowledge Management,
Psychological wellbeing.

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