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008			260305t20252025my a|||fr|||| 000 0 eng d
020			_aTHE0010420 (Local) _qHardback
040			_aUMPSA _beng _cUMPSA _erda
090			_aFIM .C48 2025 r Thesis
100	1		_aLim, Chun Aik, _eauthor.
245	1	0	_aPredicting safety compliance and behaviour in construction site: _ban extended theory of planned behaviour model / _cLim Chun Aik
264		1	_aKuantan, Pahang : _ _bUMPSA _c2025
264		4	_c© 2025
300			_axii, 111 pages : _billustrations (some color) ; _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 (Master of Science ) -- Universiti Malaysia Pahang Al Sultan Abdullah - 2024
504			_aInclude bibliographical reference
520	3		_aThe construction industry plays a vital role in Malaysia’s economic development, yet it remains one of the most hazardous sectors, with a high rate of workplace accidents and fatalities. Despite numerous initiatives to improve safety, such as regulatory reforms, safety training programmes, and enhanced site supervision, accident rates remain alarmingly high. An increasing body of research indicates that human behaviour strongly influences safety outcomes, particularly the intention to follow safety laws. However, limited studies have explored the psychological and contextual factors behind safety compliance, particularly from a behavioural perspective. This study addresses that gap by extending the Theory of Planned Behaviour (TPB) with a belief elicitation approach to better understand the factors affecting safety compliance intentions among construction workers in Malaysia. The research was conducted in two phases. The first phase involved a qualitative study to identify beliefs, where open-ended surveys were distributed to 50 construction workers. Data saturation was reached after 15 responses, and thematic analysis identified six key belief constructs. These constructs were used to develop an extended TPB model that included attitudinal, normative, and control beliefs alongside traditional TPB components. In the second phase, a structured questionnaire based on the extended model was distributed to 300 construction workers across various sites, with 100 respondents providing feedback. The data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) with SmartPLS 4.0. The results show that the core TPB constructs—attitude (β = 0.45, p < 0.01), subjective norm (β = 0.38, p < 0.01), and perceived behavioural control (β = 0.41, p < 0.01)—significantly affect workers’ intentions to follow safety regulations. Also, external belief-based factors, including perceived relative advantages (β = 0.29, p < 0.05), support from the project management team (β = 0.33, p < 0.01), and facilitating conditions (β = 0.27, p < 0.05), are important predictors. The extended TPB model explained 68% of the variance in safety compliance intention (R² = 0.68), showing strong explanatory power.These findings emphasise the importance of addressing both personal beliefs and workplace conditions to enhance safety behaviour. By incorporating belief elicitation into the TPB framework, this study provides a deeper understanding of the factors that influence compliance. The insights can assist safety managers and policymakers in designing more targeted interventions—those that not only enforce rules but also promote positive attitudes, supportive norms, and a sense of control among workers, ultimately leading to safer construction environments.
610	2	0	_aFaculty of Industrial Management _xDissertations
650		0	_aUniversities and colleges _xDissertations
650		0	_aTheses _xDissertations
942			_2lcc _cTHESIS
999			_c104272 _d104278