000 02431nam a2200229 4500
003 APU
005 20230625192825.0
008 200224b2019 ||||| |||| 00| 0 eng d
050 _aPM-31-59
100 0 _aHUANG JIE (TP050779)
_945385
245 1 0 _aINFLUENCE OF TECHNOLOGY USAGE AND SELF-EFFICACY TOWARDS JOB INSECURITY AMONG EMPLOYEES IN BEIJING /
_cHUANG JIE.
260 _aKuala Lumpur :
_bAsia Pacific University,
_c2019.
300 _a164 pages :
_billustrations ;
_c30 cm.
502 _aA thesis submitted in fulfillment of the requirement for the award of the degree of Masters in Business Administration specializing in Euro Asia Business (UCMF1808EAMBA)
520 _aJob insecurity has attracted attention of scholars and practitioners word-wide. This trend is expedited with the development of advanced technology in the fields of automation, artificial intelligence and robotics. However, in China, there are a lot of enterprises (e.g., Jing Dong, Hai Di Lao etc., ) have increased the development and investment of AI projects and have achieved practical results in lives. AI technology have been widely used in Beijing, Tianjin, Hangzhou, Qingdao and other places. This study examined the level of perceived job insecurity among employees of information and communication technology (ICT) companies in Beijing. In addition, this study also determined the relationships between technology usage and self-efficacy with job insecurity. From the 235 responses received, results have indicated that respondents of this study perceived low level of job insecurity. Meanwhile, correlation results have indicated there are no relationships between technology usage and self-efficacy on job insecurity. In effort to find out why all four hypotheses were not supported, four personal interviewers were conducted. Interviewees believed that when a person is lack of particular competency such as learning abilities and skills, this will lead to job insecurity. This finding implications and recommendations for future studies and provided.
650 0 _aJob security
_zChina
_945386
650 0 _aInformation technology
_xPsychological aspects.
_945387
650 0 _aLabour conflicts.
_945388
700 _aDr. Lim Li Chen
_eSupervisor.
_947284
856 4 0 _uhttps://cas.apiit.edu.my/cas/login?service=https://library.apu.edu.my/apres/
_yAvailable in APres
_z- Requires login to view full text.
942 _2lcc
_cMasters Theses
999 _c383007
_d383007