Does government support matter? Influence of organizational culture on sustainable construction among Malaysian contractors

Bamgbade, Jibril Adewale; Kamaruddeen, Ahmed Mohammed; Nawi, Mohd Nasrun Mohd; Yusoff, Rushami Zien; Bin, Ramli Azahari

doi:10.1080/15623599.2016.1277057

Cited by 35 publications

(31 citation statements)

References 79 publications

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“…PLS-SEM is mostly used for theory development in exploratory research [61]. Major applications of SEM contain path analysis, confirmatory factor analysis, second-order factor analysis, regression models, covariance structure models, and correlation structure models [62].…”

Section: Discussionmentioning

confidence: 99%

Structural Equation Model for Evaluating Factors Affecting Quality of Social Infrastructure Projects

et al. 2018

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The quality of the constructed social infrastructure project has been considered a necessary measure for the sustainability of projects. Studies on factors affecting project quality have used various techniques and methods to explain the relationships between particular variables. Unexpectedly, Structural Equation Modeling (SEM) has acquired very little concern in factors affecting project quality studies. To address this limitation in the body of knowledge, the objective of this study was to apply the SEM approach and build a model that explained and identified the critical factors affecting quality in social infrastructure projects. The authors developed a quantitative approach using smart-PLS version 3.2.7. This study shed light on the views of different experts based on their experience in public construction projects in Pakistan. Particularly, the authors aimed to find out the relationships between construction, stakeholders, materials, design, and external factors, and how these relate to project quality. The findings of this study revealed that the R 2 value of the model was scored at 0.749, which meant that the five exogenous latent constructs collectively explained 74.9% of the variance in project quality. The Goodness-of-Fit of the model was 0.458. The construction related factor was the most important out of the five constructs. This study determined that better planning and monitoring and evaluation should be developed to better address and control the quality defects by decision-makers, project managers as well as contractors. These findings might support practitioners and decision makers to focus on quality related problems that might occur in their current or future projects.

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Section: Discussionmentioning

confidence: 99%

Structural Equation Model for Evaluating Factors Affecting Quality of Social Infrastructure Projects

et al. 2018

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“…Literally, innovativeness is the most important factor of all different cultural factors affecting the construction companies' performance [23]. Acknowledging all those findings, decision makers in Croatia should probably also consider the results [31] suggesting that government support could moderate adhocracy culture and its relationship with sustainable construction.…”

Section: Culture Profile Of the Croatian Construction Industrymentioning

confidence: 99%

Organizational Culture as a Determinant of Construction Companies’ Competitiveness: Case Study of Croatia

Nukić¹

2018

Organizational Culture

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The aim of this chapter is to assess the organizational culture in construction industry in Croatia. The introductory part of the chapter highlights the purpose of the study presented in terms of learning the characteristics of the current and preferred organizational culture of the Croatian construction industry as well as understanding the relationship between the culture and competitiveness. Being a transitional country, Croatia is facing the need for behavior change of companies seeking competitive advantage, especially after becoming a part of the united European market. In a labor-intensive business like construction, adaptation of companies strongly depends on the underlying values and assumptions of their employees. Therefore, change management implies a need to learn about culture profiles. Results of the conducted research reveal culture profiles within construction industry in Croatia in respect of the size, core business, regional orientation and ownership of the analyzed companies. The preferences of existing engineers together with expectations of Generation Y have been also considered in order to anticipate the trends and necessary changes of organizational culture in construction industry in Croatia. Finally, findings of the crosscountry analysis of culture's implications on competitiveness will be presented, proving that culture's role should be considered by decision makers trying to improve competitiveness.

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“…First, the entrepreneurship education system should be reformed and improved for the female landless peasants. In some developed countries, secondary and higher education institutions have tailor-made vocational education courses for female entrepreneurs, such as nurses, beauty, secretary and social welfare [64][65][66][67][68][69]. Meanwhile, the local government should emphasize related knowledge of education and training and policy tilt on the tertiary industry and micro-enterprises because the entrepreneurial projects for female landless peasants are concentrated in the tertiary industry and micro-enterprises.…”

Section: Discussion Conclusion and Recommendationsmentioning

confidence: 99%

Which Factors Affect Landless Peasants’ Intention for Entrepreneurship? A Case Study in the South of the Yangtze River Delta, China

2017

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Landless peasants have been a great concern for both the government and academics in China. Entrepreneurship is promoted as one of the most important approaches to achieving civilization and urbanization. However, few studies have systematically examined the influencing factors of landless peasants' entrepreneurial intention (EI). This research gap presents barriers for making effective policies to promote entrepreneurship among landless peasants. This study aims to examine the critical factors influencing the EI of landless peasants and their interrelationships. The critical factors of landless peasants' EI are identified using logistic regression analysis. The logical and structural relationships among critical factors are mined by interpretative structural modeling. A chain of factors with an interrelated and clear hierarchy is built to clarify the explanatory structure of landless peasants' EI. The results show that the EI of landless peasants is significantly influenced by five factors: gender, achievement motivation, innovation orientation, land expropriation scenario, and entrepreneurial experience. Entrepreneurial experience is a direct surface factor; innovation orientation is an indirect intermediate layer factor; and gender, achievement motivation, and land expropriation scenario are deeply rooted factors. The results provide a good reference for formulating effective entrepreneurship policies to address landless peasants' employment and sustainable livelihoods.

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Does government support matter? Influence of organizational culture on sustainable construction among Malaysian contractors

Cited by 35 publications

References 79 publications

Structural Equation Model for Evaluating Factors Affecting Quality of Social Infrastructure Projects

Structural Equation Model for Evaluating Factors Affecting Quality of Social Infrastructure Projects

Organizational Culture as a Determinant of Construction Companies’ Competitiveness: Case Study of Croatia

Which Factors Affect Landless Peasants’ Intention for Entrepreneurship? A Case Study in the South of the Yangtze River Delta, China

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