000			02747nam a2200301 i 4500
003			CSPC
005			20250508140042.0
008			250508s2024 ph a b 000 0 eng d
040			_aCSPC _beng _cCSPC _erda
090			_aUTH BPA G245e 2024
100	1		_aGavina, Ace Vincent M. _eauthor.
245	1	0	_aEmployees' perception of artificial intelligence (ai) adoption for sustainable e-government in Iriga City / _cAce Vincent M. Gavina, Christine S. Martinez, and Joshua Keanu M. Dizon
300			_a157 leaves.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
502			_aUndergraduate Theses (BPA) - Public Administration _cCamarines Sur Polytechnic Colleges, 2024
504			_aIncludes bibliographic references
520	3		_aThis study investigates the general perceptions of the employees of the City Engineer's Office and City Disaster Risk Reduction Management Office about adopting Al systems in the Local Government Unit of Iriga City. In the modern global arena, the application of information and communication technology systems has been widely used as a significant tool in different fields of expertise and professions. The initial development of artificial intelligence dramatically augmented societal practices and academic disciplines by being incorporated to produce, monitor, understand, and evaluate different forms of information. The special application of artificial intelligence systems includes generative AI, machine learning, geospatial analysis, and urban planning that can support national and local government bodies in the decision-making process. However, employees and institutions face distinct challenges, presenting uncertainties and hindrances to the utilization of Al systems. This research will employ a quantitative approach to assess the general perception of employees toward adopting Al systems. This study aims to identify the factors affecting the effective application of AI systems in the offices of the CEO and CDRRMO and recommend AI systems strategies to ensure sustainable e-government in LGU Iriga City. The results of this study will contribute to the stemming body of knowledge in artificial intelligence and facilitate effective and efficient adoption of artificial intelligence systems in the field of public administration.
700	1		_aMartinez, Christine S. _eauthor.
700	1		_aDizon, Joshua Keanu M. _eauthor.
720			_aBarcinilla, Ejay F. _eadviser.
720			_aPadrigon, Julyven Marta Fridas M. _echair, panelist.
720			_aBersabe, Albert Jorge Emmanuel D. _epanelist.
720			_aEclar, Eugene N. _epanelist.
942			_2ddc _n0 _cUM _hG245e _iBPA _kUTH _m2024
999			_c29529 _d29529