MARC details
| 000 -LEADER |
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| fixed length control field |
03795ntm a2200337 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251223154002.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| fixed length control field |
t||||fr|||| 000 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
251223t20252025my a|||fr|||| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0010174 (Local) |
| Qualifying information |
Hardback |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMPSA |
| Language of cataloging |
eng |
| Transcribing agency |
UMPSA |
| Description conventions |
rda |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FIM .Z87 2025 r Thesis |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Zuria Akmal Binti Saad, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
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| Title |
Determinants of new collar job seeker’s search behavior: |
| Remainder of title |
integration of signaling theory, theory of planned behaviour and technology acceptance model / |
| Statement of responsibility, etc. |
Zuria Akmal Binti Saad |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Kuantan, Pahang : |
| Name of producer, publisher, distributor, manufacturer |
UMPSA, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2025 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
© 2025 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiii, 311 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| Source |
rda |
| File type |
text file |
| Encoding format |
PDF |
| 500 ## - GENERAL NOTE |
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| General note |
Faculty of Industrial Management |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (Doctor of Philosophy) -- Universiti Malaysia Pahang – 2025 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
As 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 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
Faculty of Industrial Management |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Universities and colleges |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Theses |
| General subdivision |
Dissertations |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |