000			02158nam a2200181 4500
003			FT9064
005			20260223164759.0
050			_aTX945 G37 2023
100	1		_aGarcia, Lance Marco C.; Gumabon, Kyla Gaile; Mariquit, Margaret N.; Paredes, Ethan Jeremy M.; Samson, Loubert B.
245			_aJollibots: _ban opportunity or threat to Jollibee employees in selected branches in Metro Manila / _cLance Marco C. Garcia.
264		0	_aManila : _bPamantasan ng Lungsod ng Maynila, _c2023.
300			_bUndergraduate Thesis: (Bachelor of Science in Hospitality Management), 2023
336			_atext _btext
337			_aunmediated _bunmediated
338			_avolume _bvolume
500			_aABSTRACT: Fast food establishment in The Philippines, in particular, are beginning to adopt artificial intelligence in the food and beverage sector. Artificial Intelligence can lower employment rates for blue, white, and even pink-collar occupations, according to several research. However, studies have also demonstrated that artificial intelligence may assist employees in producing work of a better standard. The purpose of this study is to discover whether there are any noticeable differences in how Jollibee employees perceive the potential opportunities and threats of Jollibots to their morale/ well-being and productivity. In order to compile the responses to the survey questionnaire’s essential research questions, a quantitative research approach was used. A total of 115 Jollibee employees were randomly selected from each of the four SM Aura – Bonifacio Global City, Glorietta by Ayala Malls, West Zamora Pandacan, and Baesa Quezon City branches. One hundred percent of people responded. Analysis of the data revealed that there is a substantial gap between how Jollibee employees view the opportunity and threat that Jollibots offer to their morale, well-being, and productivity. It demonstrates that the opportunistic perceptions of Jollibee employees about the Jollibots vastly exceed the threats. The researchers advise the hospitality sector to carry out more study on artificial intelligence in order to raise awareness.
942			_2lcc _cMS
999			_c38200 _d38200