000			03795ntm a2200337 i 4500
003			MY-KuUP
005			20251223154002.0
006			t||||fr|||| 000 0
007			ta
008			251223t20252025my a|||fr|||| 000 0 eng d
020			_aTHE0010174 (Local) _qHardback
040			_aUMPSA _beng _cUMPSA _erda
090			_aFIM .Z87 2025 r Thesis
100	0		_aZuria Akmal Binti Saad, _eauthor.
245	1	0	_aDeterminants of new collar job seeker’s search behavior: _bintegration of signaling theory, theory of planned behaviour and technology acceptance model / _cZuria Akmal Binti Saad
264		1	_aKuantan, Pahang : _bUMPSA, _c2025
264		4	_c© 2025
300			_axiii, 311 pages : _billustrations ; _c30 cm. + _e1 CD-ROM
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
347			_2rda _atext file _bPDF
500			_aFaculty of Industrial Management
502			_aThesis (Doctor of Philosophy) -- Universiti Malaysia Pahang – 2025
504			_aIncludes bibliographical references
520	3		_aAs labour markets continue to undergo rapid technological and demographic changes, understanding the online job search behaviour of new-collar job seekers, who are non-graduates with technical and digital skills, has become increasingly important. This emerging group plays a critical role in supporting the digital economy, particularly in developing countries. Although previous research has extensively examined job seeker behaviour, there is still limited focus on how recruitment signals at the early stages of the hiring process influence this specific workforce segment. Moreover, existing studies have shown varying and inconclusive results regarding the factors that shape online job search behaviour. These gaps highlight the need for a more comprehensive and context-sensitive approach to better understand how new-collar job seekers respond to recruitment messages and engage with digital job search platforms. To address this gap, the present study integrates signalling theory, the decomposed theory of planned behaviour, and the technology acceptance model to develop a comprehensive framework that explains job application intention and online job search behaviour among new-collar job seekers. Data were collected from 330 final-year TVET students across the East Coast region of Malaysia and analysed using IBM SPSS 24 and PLS-SEM 4. The analysis supported 12 out of 15 hypotheses. Attitude, subjective norms, and perceived behavioural control significantly influenced online job search behaviour and were shaped by perceived usefulness, social influences, and platform informativeness. Organizational attributes and job characteristics, which serve as key recruitment signals, significantly influenced perceptions of person–organisation fit and job attractiveness, which in turn affected application intention. However, perceived ease of use and person–job fit showed no significant effect, indicating context-specific limitations in applying TAM constructs to this demographic. The findings theoretically contribute by advancing a multi-theory job search behaviour model and providing practical implications for employers and policymakers to optimize recruitment signals and design inclusive, user-friendly online job platforms. These insights support Malaysia’s broader goal of improving labour market efficiency and new-collar workforce integration in the digital economy. Keywords: Online job search behaviour, new-collar job seeker, decomposed theory of planned behaviour, technology acceptance model, signalling theory
610	2	0	_aFaculty of Industrial Management _xDissertations
650		0	_aUniversities and colleges _xDissertations
650		0	_aTheses _xDissertations
942			_2lcc _cTHESIS
999			_c103792 _d103798