Organizational Climate in Construction Companies: A Systematic Literature Review
Abstract
:1. Introduction
1.1. Justification
1.2. Objectives
2. Methods
2.1. Eligibility Criteria
2.2. Information Sources
2.3. Search Strategy
2.4. Selection Process
2.5. Data Collection Process
2.6. Data Items
2.7. Study Risk of Bias Assessment
2.8. Synthesis Methods
2.9. Certainty Assessment
3. Results
3.1. Study Selection
3.2. Results of Individual Studies
3.2.1. Demographical Data of the Studies
3.2.2. Predominant Population
3.3. Results of Synthesis
- RQ1. What are the prominent dimensions of organizational climate?
- RQ2. What factors are considered in the realm of organizational climate in construction?
- RQ3: What models are developed to enhance organizational climate?
3.4. Risk of Bias in Studies
3.5. Certainty of Evidence
4. Discussion
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Adetunji, Kamoli, Razali Adul Hamid, and Syamsul Hendra Mahmud. 2021. Barriers to the development of occupational health and safety management systems in the nigerian construction industry. Journal of Information System and Technology Management 6: 90–99. [Google Scholar] [CrossRef]
- Adillah Ismail, Noor Akmal, Bibi Nur Basirah Baharun, Hamimah Adnan, Mysarah Maisham, and Noor Aisyah Asyikin Mahat. 2022. BIM Capabilities towards Better Safety Climate in the Malaysian Construction Industry. IOP Conference Series: Earth and Environmental Science 1067: 012070. [Google Scholar] [CrossRef]
- Afzal, Fatima, and Benson Lim. 2022. Organizational Factors Influencing the Sustainability Performance of Construction Organizations. Sustainability 14: 449. [Google Scholar] [CrossRef]
- Bas, Esra. 2022. Application of Systems Theoretic Process Analysis and Failure Modes and Effects Analysis to Process Reliability and Occupational Safety and Health in Construction Projects. International Journal of Safety and Security Engineering 12: 1–11. [Google Scholar] [CrossRef]
- Cao, Zhonghong, Tao Chen, and Yuqing Cao. 2021. Effect of Occupational Health and Safety Training for Chinese Construction Workers Based on the CHAID Decision Tree. Frontiers in Public Health 9: 623441. [Google Scholar] [CrossRef] [PubMed]
- Cao, Zhonghong, Tao Chen, and Yuqing Cao. 2023. Multiple factor comprehensive analysis (CAMF) model of occupational health and safety training effect for construction workers. Journal of Engineering Research (Kuwait) 11: 1. [Google Scholar] [CrossRef]
- Cruz-Zuñiga, Nereyda, María Alonso Castillo, Nora Armendáriz-García, and Joaquín Lima Rodríguez. 2022. Clima laboral, estrés laboral y consumo de alcohol en trabajadores de la industria. Una revisión sistemática. Revista Española de Salud Pública 95. Available online: https://www.scielosp.org/article/resp/2021.v95/e202104057/es/ (accessed on 25 January 2024).
- Davies, Elizabeth. 2022. Importancia del Clima laboral para el cumplimiento de los objetivos organizacionales. Gestión En El Tercer Milenio 25: 147–51. [Google Scholar] [CrossRef]
- Erusta, Nur, and Begum Sertyesilisik. 2020. An Investigation into Improving Occupational Health and Safety Performance of Construction Projects Through Usage of BIM for Lean Management. In Advances in Building Information Modeling: First Eurasian BIM Forum, EBF 2019, Istanbul, Turkey, May 31, 2019, Revised Selected Papers 1. Berlin/Heidelberg: Springer International Publishing, pp. 91–100. [Google Scholar]
- Fahirah, F., Adnan Fadjar, and Rika Madina. 2022. Assessment of Occupational Health and Safety Risk in the Road Construction Project in the Sigi Regency. IOP Conference Series: Earth and Environmental Science 1075: 012048. [Google Scholar] [CrossRef]
- Ferreira, Thiago Cardoso, and Tatiana Ghedine. 2023. Teoría de las demandas y recursos del trabajo: Estado del arte, caminos y perspectivas. Revista De Gestão E Secretariado 14: 17147–65. [Google Scholar] [CrossRef]
- Golzad, Hamed, Atefeh Teimoory, Seyed Mousavi, Aya Bayramova, and David Edwards. 2023. Mental Health Causation in the Construction Industry: A Systematic Review Employing a Psychological Safety Climate Model. Buildings 13: 2442. [Google Scholar] [CrossRef]
- Hayashi, Hana, Yue Li, David Sussman, Sakurako Okuzono, Kasisomayajula Viswanath, and Ichiro Kawachi. 2023. A Scoping Review of Interventions to Improve Occupational Safety and Health of Construction Workers. American Journal of Health Promotion 37: 1162–70. [Google Scholar] [CrossRef]
- Hoła, Bożena, and Tomasz Nowobilski. 2019. Analysis of the Influence of Socio-Economic Factors on Occupational Safety in the Construction Industry. Sustainability 11: 4469. [Google Scholar] [CrossRef]
- Irfan, Muhammad, Wesam Alaloul, Maria Ghufran, Ghulam Yaseen, Muhammad Jamaluddin Thaheem, Abdul Qureshi, and Muhammad Bilal. 2022. Analyzing the impact of organizational culture on social sustainability: A perspective of the construction industry. Environment Development and Sustainability 26: 1103–33. [Google Scholar] [CrossRef]
- Johansson, Jan, Leif Berglund, Maria Johansson, Magnus Nygren, Kjell Rask, Björn Samuelson, and Magnus Stenberg. 2019. Occupational safety in the construction industry. Work 64: 21–32. [Google Scholar] [CrossRef]
- Khahro, Qasim Hussain, Noor Yasmin Zainun, Shabir Hussain Khahro, and Basel Sultan. 2023. An Integrated Model to Improve Job Satisfaction: A Case for a Sustainable Construction Industry. Sustainability 15: 8357. [Google Scholar] [CrossRef]
- Kineber, Ahmed, Maxwell Antwi-Afari, Faris Elghaish, Ahmad Zamil, Mohammad Alhusban, and Thikryat Qaralleh. 2023. Benefits of Implementing Occupational Health and Safety Management Systems for the Sustainable Construction Industry: A Systematic Literature Review. Sustainability 15: 12697. [Google Scholar] [CrossRef]
- Kongsvik, Trond. 2019. Internationalization of the Construction industry: A short Review of the Consequences for Occupational safety. Presented at the 29th European Safety and Reliability Conference, ESREL 2019, Hannover, Germany, September 22–26. [Google Scholar]
- Lesener, Tino, Burkhard Gusy, and Christine Wolter. 2019. The job demands-resources model: A meta-analytic review of longitudinal studies. Work & Stress 33: 76–103. [Google Scholar] [CrossRef]
- Lestari, Fatma, Riza Yosia Sunindijo, Martin Loosemore, Yuni Kusminanti, and Baiduri Widanarko. 2020. A Safety Climate Framework for Improving Health and Safety in the Indonesian Construction Industry. International Journal of Environmental Research and Public Health 17: 7462. [Google Scholar] [CrossRef] [PubMed]
- Li, Xiaodong, Runshuang Wang, Yizhu Zhao, Fan Yang, and Xinyi Wang. 2022. An Interwoven Psychological Syndrome of Job Burnout and Work Engagement in Construction Project Management Professionals Due to Work–Family Imbalance. International Journal of Environmental Research and Public Health 19: 14111. [Google Scholar] [CrossRef] [PubMed]
- López, Isse, Felix Jimenez, and Laritza Martínez. 2019. Procedimiento para la gestión de la seguridad y salud del trabajo en la empresa de construcción y montaje de Las Tunas. Revista de Arquitectura e Ingeniería 13: 1–15. [Google Scholar]
- Marleno, Risma, Hanie Tjendani, and Abdul Bon. 2019. The Cost of Occupational Safety And Health (OSH) in Construction Project. Presented at the International Conference on Industrial Engineering and Operations Management, Toronto, ON, Canada, October 23–25. [Google Scholar]
- Meem, Tamanna Islam, Md. Mehrab Hossain, and Jhumana Akter. 2022. BIM-based analysis of construction safety tracking using behavior-based safety in Bangladeshi construction industry. International Journal of Building Pathology and Adaptation, ahead-of-print. [Google Scholar] [CrossRef]
- Memon, Aftab Hameed, Shabir Hussain Khahro, Nafees Ahmed Memon, Zubair Ahmed Memon, and Ahmed Mustafa. 2023. Relationship between Job Satisfaction and Employee Performance in the Construction Industry of Pakistan. Sustainability 15: 8699. [Google Scholar] [CrossRef]
- Muhamad Ramdan, Iwan, Krishna Purnawan Candra, Dewi Arlita, and Sakina Tura. 2019. Association of Demographic Characteristics of Construction Workers and Work Environments to Workplace Accident in High Building (Hotel) Construction. Indian Journal of Public Health Research and Development 10: 1251–56. [Google Scholar] [CrossRef]
- Ng, Jacky Yu Ki. 2020. A Mediation Analysis on the Relationship between Safety Climate and Work Abilities of Hong Kong Construction Workers. In Advances in Safety Management and Human Performance. Edited by En Pedro M. Arezes and Ronad L. Boring. Berlin/Heidelberg: Springer International Publishing, pp. 117–20. [Google Scholar] [CrossRef]
- Ni, Guodong, Huaikun Li, Tinghao Jin, Haibo Hu, and Ziyao Zhang. 2022a. Analysis of Factors Influencing the Job Satisfaction of New Generation of Construction Workers in China: A Study Based on DEMATEL and ISM. Buildings 12: 609. [Google Scholar] [CrossRef]
- Ni, Guodong, Xinyue Miao, Li Li, Huaikun Li, Shaobo Wang, and Miaomiao Niu. 2022b. Can Professionalization Alleviate Job Burnout in Construction Workers in China? A Multivariable Mediating Model. International Journal of Environmental Research and Public Health 19: 13879. [Google Scholar] [CrossRef]
- Oladimeji, Olubimbola. 2020. Psychosocial Construction Work Environment and Wellbeing in the Viability of Indigenous Construction Firms. Journal of Engineering, Project, and Production Management 10: 187–99. [Google Scholar] [CrossRef]
- Osman, Abdul Manaan, Yisheng Liu, and Zhaojing Wang. 2023. Influence of Organizational Culture on Construction Firms’ Performance: The Mediating Roles of Innovation and Marketing Capabilities. Buildings 13: 308. [Google Scholar] [CrossRef]
- Page, Matthew, Joanne McKenzie, Patrick Bossuyt, Isabelle Boutron, Tammy Hoffmann, Cynthia Mulrow, Larissa Shamseer, Jennifer Tetzlaff, Elie Akl, Sue Brennan, and et al. 2021. Declaración PRISMA 2020: Una guía actualizada para la publicación de revisiones sistemáticas. Revista Española de Cardiología 74: 790–99. [Google Scholar] [CrossRef]
- Palaniappan, Kavitha, Chiang Liang Kok, and Kenichi Kato. 2021. Artificial Intelligence (AI) Coupled with the Internet of Things (IoT) for the Enhancement of Occupational Health and Safety in the Construction Industry. In Advances in Artificial Intelligence, Software and Systems Engineering. Edited by En Tareq. Z. Ahram, Waldemar Karwowski and Jay Kalra. Berlin/Heidelberg: Springer International Publishing. [Google Scholar] [CrossRef]
- Supriyatna, Herry, Widy Kurniawan, and Humiras Purba. 2020. Occupational safety and health risk in building construction projects: A literature review. Operational Research in Engineering Sciences: Theory and Applications 3: 28–40. [Google Scholar] [CrossRef]
- Torku, Alex, Turker Bayrak, Stephen Olubodunwa Ogunlana, Albert Ping Chuen Chan, and De-Graft Owusu-Manu. 2021. Are the Ageing Workforce Satisfied with the Construction Work Environment? In Collaboration and Integration in Construction, Engineering, Management and Technology. Edited by En Syed. M. Ahmed, Paul Hampton, Salman Azhar and Amelia D. Saul. Berlin/Heidelberg: Springer International Publishing, pp. 101–6. [Google Scholar] [CrossRef]
- Villota Ortega, Diana Gicela, Nubia Fernanda Garcés Bolaños, Jorge Xavier Córdoba Martínez, and Jinha Mauren Botina Mora. 2023. La seguridad y salud en el trabajo en el sector de la construcción: Una revisión de literatura. Aglala 14: 1–25. [Google Scholar]
- Wahab, Nurhana, Nik Mahmood, and Asnul Minghat. 2023. Correlation among Construction, Safety, Accident, and the Effectiveness Construction Industry Development Board (CIDB) Green Card Training Program: An Initial Review. ASEAN Journal of Science and Engineering 3: 2. [Google Scholar] [CrossRef]
- Yıldırım, Nihan, Derya Gultekin, Doğan Tilkici, and Dilek Ay. 2022. An Institutional System Proposal for Advanced Occupational Safety and Labor Standards in the Turkish Construction Industry. International Journal of Environmental Research and Public Health 19: 15113. [Google Scholar] [CrossRef] [PubMed]
- Yuan, Ruijia, Zhiwei Zhang, Xiaopeng Deng, and Xiaosheng Li. 2022. SEIR model and simulation research on unsafe psychological state propagation of construction workers considering safety climate and intimate relationships. Frontiers in Public Health 10: 1031440. [Google Scholar] [CrossRef]
- Zhang, Shang, Martin Loosemore, Riza Yosia Sunindijo, and Dapeng Gu. 2023. An investigation of safety climate in Chinese major construction projects. International Journal of Construction Management 23: 1365–75. [Google Scholar] [CrossRef]
- Zid, Chaher, Narimah Kasim, Abdelbaki Laidoune, and Mohammed Mouda. 2022. Investigating the influential key safety climate factors on safety behaviour in the construction industry: A systematic review of the literature. International Journal of Risk Assessment and Management 25: 31–55. [Google Scholar] [CrossRef]
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Block | Initial Terms | Frequency of Terms from Studies in the Control Group | Terms Used | Description |
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Block 1 | “Organizational Culture”, “Job Satisfaction”, “Employee Recognition”, “Organizational Climate”, “Corporate Culture”, “Employee Satisfaction” | occupational health and safety: 3 occupational accident: 1 job culture: 1 job productivity: 1 job satisfaction: 14 working conditions: 6 wage determination: 1 work conflict: 3 safety climate: 2 occupational health: 6 organizational culture: 10 performance assessment: 1 work environment: 3 job burnout: 4 construction safety: 3 occupational risk: 2 organizational learning: 1 accidents occupational: 1 industrial hygiene: 1 occupational safety: 3 organizational culture: 1 occupational stress: 2 workplace: 2 job stress: 1 job performance: 3 work performance: 1 workers performance: 1 work engagement: 1 retention in organizations: 1 | “occupational health”, “job satisfaction”, “working conditions”, “work conflict”, “safety climate”, “organizational culture”, “work environment”, “job burnout”, “construction safety”, “occupational risk”, “occupational safety”, “occupational stress”, “job performance” | It consists of terms related to the organizational climate. |
Block 2 | “Construction Sector”, “Construction Industry”, “Construction companies”, “Construction Firms”, “Building Companies”, “Building Firms”, “Civil Engineering Companies”, “Construction Company”, “Construction Organization”, “Construction markets”, “Building industry”, “Building sector”, “Building business” | construction worker: 12 building industry: 17 construction industry: 22 construction organizations: 2 construction projects: 3 construction firm: 3 construction work: 2 construction professionals: 2 construction companies: 1 construction sectors: 1 construction project: 1 construction equipment: 1 | “construction worker”, “building industry”, “construction industry”, “construction organization”, “construction project”, “construction work”, “construction firm”, “construction professional” | It consists of terms related to the organizational climate focused on construction companies. |
Title | Abstract Extract | Keywords | |
---|---|---|---|
Construction | Organizational Climate | ||
Effect of Occupational Health and Safety Training for Chinese Construction Workers Based on the CHAID Decision Tree (Cao et al. 2021) | Background: Occupational health and safety (OHS) training is an important way to prevent construction safety risks. However, the effectiveness of OHS training in China is questionable. In this study, the CHAID (chi-squared automatic interaction detection) decision tree, chi-square analysis, and correlation analysis were used to explore the main, secondary, weak, unrelated, and expectation factors affecting the effectiveness of training. It is the first to put forward the “five-factor method” of training effectiveness… | construction worker; building industry | occupational health and safety; occupational accident |
An Integrated Model to Improve Job Satisfaction: A Case for a Sustainable Construction Industry (Khahro et al. 2023) | In the last few years, the fields of management, social psychology, and business operations have all paid a large amount of attention to the academic idea of job satisfaction. This paper looks at more than a decade of research into what makes people happy at work and what happens to them as a result. Companies have started to realize that their employees are their most valuable asset in this time of rapid change. There is no specific model of the job satisfaction of construction workers in developing countries… | construction industry; building industry | job culture; job productivity; job satisfaction; working conditions; wage determination |
Can Professionalization Alleviate Job Burnout in Construction Workers in China? A Multivariable Mediating Model (Ni et al. 2022b) | Burnout is at all-time highs across modern professions. As a typical labor-intensive industry, the high-pressure and task-driven nature of the construction industry makes construction workers more prone to burnout. It is still unclear whether increasing the professionalization level can lessen the many harmful consequences of job burnout on construction workers’ employment. Therefore, this study examined the influencing… | construction workers; construction industry; building industry | job satisfaction; working conditions; work conflict |
Relationship between Job Satisfaction and Employee Performance in the Construction Industry of Pakistan (Memon et al. 2023) | Organizations focus on human resources to improve performance as a result of high global competition and a dynamic business environment. In today’s competitive environment, employee performance and job satisfaction are critical to the achievement of a company’s goals. Job satisfaction is an organization’s unnoticed success. Employee performance and job satisfaction are powerful tools that help in continuously developing and improving organizational performance to achieve strategic objectives… | construction industry | job satisfaction |
Multiple factor comprehensive analysis (CAMF) model of occupational health and safety training effect for construction workers (Cao et al. 2023) | In view of the occupational health and safety (OHS) training on the safety of construction workers, and many complex factors. Through empirical investigation, this study proposes a set of multiple factor comprehensive analysis (CAMF) model to explore the effectiveness of OHS training and its main influencing factors. It has been found that training effectiveness is positively related to whether to receive… | construction workers | occupational health and safety |
SEIR model and simulation research on unsafe psychological state propagation of construction workers considering safety climate and intimate relationships (Yuan et al. 2022) | The construction industry is a pillar industry of China and occupies an essential position in our economic development. However, in the fast-developing construction industry, the number of its safety accidents is also growing year by year. Safety accidents are often due to unsafe behaviors of construction workers, and unsafe precarious psychological states are important factors for unsafe behaviors… | construction industry; building industry | safety climate; occupational health; organizational culture |
Organizational Factors Influencing the Sustainability Performance of Construction Organizations (Afzal and Lim 2022) | Construction projects contribute significantly to the growth of countries in terms of GDP and employment opportunities. However, construction organizations are often criticized for not adopting sustainable practices in delivering their projects. Underpinned by the resource-based theory (RBT) this research aims to investigate the organizational factors influencing the sustainability performance of construction organizations… | construction organizations; construction projects | performance assessment |
Analysis of Factors Influencing the Job Satisfaction of New Generation of Construction Workers in China: A Study Based on DEMATEL and ISM (Ni et al. 2022a) | China’s construction industry is facing serious problems of aging construction workers and labor shortages. Improving the job satisfaction of construction workers is a key point for retaining existing construction workers and for attracting younger generations into the construction field in China. At present, the new generation of construction workers (NGCW) born after 1980 has been the main force on construction sites in China… | construction workers | job satisfaction |
Influence of Organizational Culture on Construction Firms’ Performance: The Mediating Roles of Innovation and Marketing Capabilities (Osman et al. 2023) | Local Ghanaian construction firms have been accused of underperformance due to inadequate resources and capabilities, lack of market information, poor managerial skills, and other external factors. While construction firms may be unable to control external challenges, how they mobilize internal resources to confront them may be crucial for their performance and survival. An emerging consensus is that how organizations is related to their organizational culture… | construction firm; construction industry | organizational culture |
Psychosocial Construction Work Environment and Wellbeing in the Viability of Indigenous Construction Firms (Oladimeji 2020) | The strategic role of indigenous construction firms (ICFs) in the development of the construction industry better construction output and infrastructural development in developing countries cannot be overemphasized. These goals may not be achieved if firms’ psychosocial construction work environment and wellbeing (PCEW) are not appraised. To this end, this study identified and assessed factors relating to PCEW in the 37 factors influencing… | construction work; construction firms | work environment |
Title | Year | RQ1 | RQ2 | RQ3 |
---|---|---|---|---|
A Mediation Analysis on the Relationship between Safety Climate and Work Abilities of Hong Kong Construction Workers (Ng 2020) | 2020 | Safety climate, occupational accidents, innovation, job performance | Factors to determine the adoption of new technology: convenience (would be free from additional effort) and perceived utilities (would improve job performance) | - |
A safety climate framework for improving health and safety in the Indonesian construction industry (Lestari et al. 2020) | 2020 | Occupational health and safety, safety climate; 3 interconnected dimensions of safety culture | Factors to identify safety climate: management commitment; employee participation and/or empowerment; safety communication | - |
A Scoping Review of Interventions to Improve Occupational Safety and Health of Construction Workers (Hayashi et al. 2023) | 2023 | Occupational health and safety, occupational risks, working conditions | Behavioral risk factors: alcohol consumption, smoking, unhealthy diet (increase occupational accidents and affect workers’ health) | - |
An Institutional System Proposal for Advanced Occupational Safety and Labor Standards in the Turkish Construction Industry (Yıldırım et al. 2022) | 2022 | Occupational safety, job stability, occupational accidents, working conditions, job satisfaction | Factors of job instability: subcontracting with lower-level workers, incompetence in adapting to labor standards, intention to dismiss when not adequately inspected | - |
An Integrated Model to Improve Job Satisfaction: A Case for a Sustainable Construction Industry (Khahro et al. 2023) | 2023 | Job satisfaction and performance | Factors of job satisfaction: employee turnover, salaries and benefits, job engagement, workload, control, recognition, and reward | Models to measure job satisfaction level: Wexley’s model, structural model of job satisfaction through commitment and trust |
An Interwoven Psychological Syndrome of Job Burnout and Work Engagement in Construction Project Management Professionals Due to Work–Family Imbalance (Li et al. 2022) | 2022 | Occupational mental health, job satisfaction | Factors affecting mental health within the framework of job satisfaction: stress, job burnout, unstable work environment, irregular working hours, serious conflicts in resources and benefits | Psychological dual-process model positive–negative |
An investigation into improving occupational health and safety performance of construction projects through usage of BIM for lean management (Erusta and Sertyesilisik 2020) | 2020 | Occupational safety and health, occupational risks, work accidents | Factors involved in construction work accidents: hazardous movements, unsafe conditions, and disasters | BIM model to facilitate the decision-making process and contribute to reducing risks in construction activities, enhancing efficiency |
An investigation of safety climate in Chinese major construction projects (Zhang et al. 2023) | 2023 | Dimensions of safety climate: leadership commitment, communication, rules and procedures, supportive environment, personal responsibility, training | Safety climate factors: informal and formal communication among construction personnel about health and safety; policies, rules, and safety procedures and actual compliance | - |
Analysis of Factors Influencing the Job Satisfaction of New Generation of Construction Workers in China: A Study Based on DEMATEL and ISM (Ni et al. 2022a) | 2022 | Job satisfaction | Factors of job satisfaction in labor market behaviors: resignation, absenteeism, burnout, and retention; factors associated with the construction industry | - |
Analysis of the influence of socio-economic factors on occupational safety in the construction industry (Hoła and Nowobilski 2019) | 2019 | Labor safety, work accidents | Human factors influencing job satisfaction: leadership and management skills, employees’ experience and knowledge, level of training | - |
Analyzing the impact of organizational culture on social sustainability: a perspective of the construction industry (Irfan et al. 2022) | 2022 | Organizational culture, recognition, and rewards | Factors that assess the type of organizational culture: organizational characteristics, size, and age, founder’s beliefs | - |
Application of Systems Theoretic Process Analysis and Failure Modes and Effects Analysis to Process Reliability and Occupational Safety and Health in Construction Projects (Bas 2022) | 2022 | Occupational health and safety | Loss factors: loss of life or human injuries, property damage, environmental pollution, mission loss, reputation loss, loss or leakage of confidential information | - |
¿Are the ageing workforce satisfied with the construction work environment? (Torku et al. 2021). | 2019 | Job satisfaction | Factors affecting the fit between the older workforce and the construction work environment (CWE) | - |
Artificial Intelligence (AI) Coupled with the Internet of Things (IoT) for the Enhancement of Occupational Health and Safety in the Construction Industry (Palaniappan et al. 2021) | 2021 | Health and occupational safety | Main factors for fatal and serious injuries: falls from height, machinery-related injuries, and slips, trips, or falls; 3P+I factors: 3P: three factors: policy factors, personnel factors, and process factors | 3P + I model: preventing future accidents |
Assessment of Occupational Health and Safety Risk in the Road Construction Project in the Sigi Regency (Fahirah et al. 2022) | 2022 | Safety and health in work | - | - |
Association of demographic characteristics of construction workers and work environments to workplace accident in high building (hotel) construction (Muhamad Ramdan et al. 2019) | 2019 | Work environment, workplace accidents | Causal factors of workplace accidents: demographic characteristics and the work environment; factors associated with the occurrence of workplace accidents: age, work experience, education level, length of employment | - |
Barriers to the development of occupational health and safety management systems in the Nigerian construction industry (Adetunji et al. 2021) | 2019 | Safety and health in the construction industry | Factors contributing to the increase in OHSMS: complications in work life, the growing prevalence of multifactorial diseases such as cancer, physical fatigue, and heart diseases, increased attention to emerging issues... | - |
Benefits of Implementing Occupational Health and Safety Management Systems for the Sustainable Construction Industry: A Systematic Literature Review (Kineber et al. 2023) | 2023 | Occupational safety and health | Factors influencing the effectiveness and improvement of the OHSAS 18001 principles: employee participation, management commitment, specification of the dissemination of occupational health and safety activities and results, specification of responsibilities, and allocation of financial resources... | - |
BIM Capabilities towards Better Safety Climate in the Malaysian Construction Industry (Adillah Ismail et al. 2022) | 2022 | Safety climate | Factors related to BIM in OHS: adoption of BIM technology, significance of BIM tools in safety management, efficiency of implementation... | - |
BIM-based analysis of construction safety tracking using behavior-based safety in Bangladeshi construction industry (Meem et al. 2022) | 2022 | Occupational safety and health, security risks | BBS factors: work element, its components, and the environment | BIM model in the construction industry, GRIS clustering model |
Dimensions | Indicators | Total | Unique Studies | Representativeness Regarding the Total (%) |
---|---|---|---|---|
Occupational health and safety |
| 123 | PS-1;PS-100;PS-101;PS-102;PS-103;PS-105;PS-106;PS-107;PS-108;PS-11;PS-110;PS-112;PS-113;PS-115;PS-116;PS-117;PS-118;PS-119;PS-12;PS-120;PS-121;PS-122;PS-123;PS-124;PS-125;PS-126;PS-127;PS-128;PS-129;PS-13;PS-130;PS-131;PS-132;PS-133;PS-134;PS-135;PS-136;PS-138;PS-139;PS-14;PS-140;PS-141;PS-142;PS-143;PS-144;PS-145;PS-147;PS-148;PS-15;PS-150;PS-151;PS-152;PS-153;PS-154;PS-16;PS-17;PS-18;PS-19;PS-2;PS-20;PS-21;PS-22;PS-23;PS-24;PS-25;PS-26;PS-28;PS-29;PS-3;PS-30;PS-31;PS-32;PS-33;PS-34;PS-35;PS-36;PS-37;PS-38;PS-39;PS-40;PS-41;PS-43;PS-44;PS-45;PS-46;PS-47;PS-48;PS-49;PS-50;PS-51;PS-52;PS-53;PS-54;PS-55;PS-56;PS-57;PS-58;PS-59;PS-6;PS-60;PS-61;PS-62;PS-63;PS-64;PS-65;PS-67;PS-68;PS-69;PS-7;PS-70;PS-71;PS-72;PS-73;PS-74;PS-76;PS-77;PS-78,PS-79;PS-8;PS-80;PS-81;PS-82;PS-83;PS-84;PS-85;PS-86;PS-88;PS-89;PS-9;PS-91;PS-93;PS-94;PS-95;PS-97;PS-98 | 90.44 |
Work environment |
| 36 | 26.47 | |
Organizational culture. |
| 12 | 8.82 | |
Job performance |
| 6 | 4.41 | |
Working conditions. |
| 4 | 2.94 | |
Employee engagement. |
| 1 | 0.74 |
Factors | Indicators | Total | Studies’ ID | Representativeness Regarding the Total (%) |
---|---|---|---|---|
Factors of occupational health and safety. | Factors of occupational risks; factors of safety climate; factors of occupational stress; factors of occupational accidents; factors affecting the implementation of OHS norms; factors for improving OHS; factors of occupational safety; factors for measuring safety climate; factors associated with the occurrence of WA (work accidents); factors of job burnout. | 70 | PS-10;PS-101;PS-103;PS-105;PS-106;PS-107;PS-108;PS-11;PS-110;PS-111;PS-112;PS-113;PS-115;PS-116;PS-117;PS-118;PS-119;PS-12;PS-121;PS-122;PS-123;PS-124;PS-126;PS-127;PS-128;PS-129;PS-13;PS-131;PS-134;PS-136;PS-139;PS-140;PS-141;PS-142;PS-143;PS-144;PS-147;PS-148;PS-15;PS-150;PS-153;PS-16;PS-18;PS-19;PS-2;PS-23;PS-24;PS-25;PS-26;PS-27;PS-28;PS-29;PS-3;PS-30;PS-31;PS-32;PS-33;PS-35;PS-37;PS-38;PS-40;PS-41;PS-45;PS-46;PS-47;PS-49;PS-50;PS-51;PS-52;PS-56;PS-58;PS-59;PS-6;PS-62;PS-64;PS-65;PS-69;PS-7;PS-72;PS-73;PS-74;PS-77;PS-78;PS-79;PS-8;PS-80;PS-81;PS-83;PS-84;PS-85;PS-88;PS-89;PS-9;PS-91;PS-95 | 73.68 |
Factors of the work environment. | Factors of job satisfaction; factors affecting mental health within the framework of job satisfaction; factors of the work environment; factors of the quality of work life; factors of job insecurity; stressful factors in construction projects; factors affecting job satisfaction; factors for measuring job satisfaction; factors affecting the fit between the older workforce and the construction work environment (CWE). | 21 | 22.11 | |
Factors of job performance. | Factors of job performance. | 6 | 6.32 | |
Factors of organizational culture. | Factors that assess the type of organizational culture. | 4 | 4.21 |
Factors | Total | Unique Studies | Representativeness Regarding the Total (%) |
---|---|---|---|
3P+I factors. | 1 | PS-16;PS-102;PS-21;PS-125 | 25 |
Factors that enhance occupational health and safety according to 4D-BIM technology. | 1 | 25 | |
Factors related to BIM in occupational health and safety (SST). | 1 | 25 | |
Factors reflecting the work demands of construction projects management (CPM). | 1 | 25 |
Factors | Total | Studies’ ID | Representativeness Regarding the Total (%) |
---|---|---|---|
Factors determining work capacity. | 1 | PS-1;PS-6;PS-22;PS-76;PS-142;PS-145;PS-154 | 14.29 |
Factors of job instability. | 1 | 14.29 | |
Behavior-based safety (BBS) factors. | 1 | 14.29 | |
Factors of job dissatisfaction. | 1 | 14.29 | |
Factors reducing the intention to turnover. | 1 | 14.29 | |
Factors to understand the connection between accidents and safe behavior. | 1 | 14.29 | |
Factors causing conflict between work and family. | 1 | 14.29 |
Models | Total | Studies’ ID | Representativeness Regarding the Total (%) |
---|---|---|---|
JD-R Model (Job Demands–Resources) | 3 | PS-125;PS-7;PS-8;PS-9;PS-16;PS-22;PS-23;PS-24;PS-26;PS-28;PS-29;PS-32;PS-36;PS-57;PS-62;PS-69;PS-74;PS-85;PS-88;PS-97;PS-124;PS-129;PS-142;PS-147;PS-148;PS-151;PS-131;PS-145 | 10.71 |
Models to measure the level of job satisfaction: Wexley’s, structural model of job satisfaction through commitment and trust | 1 | 3.57 | |
Psychological model of positive–negative dual process | 1 | 3.57 | |
BIM (Building Information Modeling): model to facilitate the decision-making process and contribute to reducing risks in construction activities and increasing efficiency | 1 | 3.57 | |
3P+I Model: to prevent future accidents | 1 | 3.57 | |
BIM Model in the construction industry; GRIS (Grouping Model) | 1 | 3.57 | |
Attribute-based risk analysis model along with the risk degree | 1 | 3.57 | |
Theoretical model based on the Conservation of Resources (COR) theory | 1 | 3.57 | |
COM-B Model: People need capability (C), opportunity (O), and motivation (M) to perform a behavior (B) | 1 | 3.57 | |
Multilevel Safety Climate Model | 1 | 3.57 | |
CART model, Neural Network | 1 | 3.57 | |
Occupational Risk Model | 1 | 3.57 | |
Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) | 1 | 3.57 | |
Ordered Logit Model with Random Parameters | 1 | 3.57 | |
Hierarchical Linear Model for Construction Projects | 1 | 3.57 | |
Stimulus–Organism–Response (SOR) Model | 1 | 3.57 | |
Theoretical Model Introducing Affective Commitment as a Moderating Variable | 1 | 3.57 | |
Psychological Safety Climate 12-Item Shortened Version (PSC-12) Model | 1 | 3.57 | |
Multiple Factor Comprehensive Analysis Model (CAMF) | 1 | 3.57 | |
Occupational Health and Safety Risk Assessment Model | 1 | 3.57 | |
Conceptual Model for Measuring Construction Workers’ Safety Behaviors | 1 | 3.57 | |
Susceptible, Exposed, Infected, Recovered (SEIR) Model | 1 | 3.57 | |
Mediation Model of Occupational Stress | 1 | 3.57 | |
Fundamental Conceptual Model of Work Behaviors | 1 | 3.57 | |
Hybrid Fuzzy-Based Occupational Risk Assessment Model (CHFORAM) | 1 | 3.57 | |
Stress, Cognition, Safety Model | 1 | 3.57 |
STUDY TYPE | Number of Studies | Percentage (%) | Description |
---|---|---|---|
Candidate studies | 176 | 100.00 | Studies resulting from the application of the search string |
Selected studies | 174 | 98.86 | Unique studies without duplicates |
After depuration of studies | 153 | 86.93 | Studies after reviewing the title, abstract, and keywords |
Retrieved studies | 142 | 80.68 | Studies downloaded in full text |
Primary studies | 142 | 80.68 | Studies reviewed in full text |
RQs Addressed | Rep. Average (%) | Median (%) | High Confidence (%) | Medium Confidence (%) | Low Confidence (%) |
---|---|---|---|---|---|
RQ1 | 22.47 | 6.67 | 21.09–27.94 | 14.23–21.08 | 7.35–14.22 |
RQ2 | 20.42 | 14.29 | 44.35–66.04 | 22.65–44.34 | 0.94–22.64 |
RQ3 | 3.85 | 3.57 | 8.34–10.71 | 5.96–8.33 | 3.57–5.95 |
RQ | Addressing | Primary Studies (PS) | Percentage Regarding the Total of PS (%) | Percentage Regarding the Number of Studies Addressing the RQ (%) |
---|---|---|---|---|
RQ1. What are the prominent dimensions of organizational climate? | Health and Safety at Work | 38 | 26.76 | 27.94 |
Organizational Culture | 31 | 21.83 | 22.79 | |
Job Performance | 28 | 19.72 | 20.59 | |
Work Environment | 19 | 13.38 | 13.97 | |
Working Conditions | 12 | 8.45 | 8.82 | |
Employee Engagement | 10 | 7.04 | 7.35 | |
RQ2. What factors are considered in the realm of organizational climate in construction? | Factors of Health and Safety at Work | 70 | 49.30 | 66.04 |
Factors of Organizational Climate | 21 | 14.79 | 19.81 | |
Factors of Job Performance | 6 | 4.23 | 5.66 | |
Factors of Organizational Culture | 4 | 2.82 | 3.77 | |
Factors of 3P+I | 1 | 0.70 | 0.94 | |
Factors Enhancing Occupational Health and Safety through 4D-BIM Technology | 1 | 0.70 | 0.94 | |
Factors Related to BIM in Occupational Health and Safety | 1 | 0.70 | 0.94 | |
Factors Reflecting the Work Demands of Construction Project Management (CPM) | 1 | 0.70 | 0.94 | |
Factors Determining Work Capacity | 1 | 0.70 | 0.94 | |
Factors of Job Insecurity | 1 | 0.70 | 0.94 | |
Factors of Behavior-Based Safety (BBS) | 1 | 0.70 | 0.94 | |
Factors of Job Dissatisfaction | 1 | 0.70 | 0.94 | |
Factors Decreasing the Intention to Turnover | 1 | 0.70 | 0.94 | |
Factors Understanding the Connection between Accidents and Safe Behavior | 1 | 0.70 | 0.94 | |
Factors Causing Work–Family Conflict | 1 | 0.70 | 0.94 | |
RQ3. What models are developed to enhance organizational climate? | JD-R Model | 3 | 2.11 | 10.71 |
Models for Measuring Job Satisfaction by Wexley, Structural Model of Job Satisfaction through Commitment and Trust | 1 | 0.70 | 3.57 | |
Psychological Model of Positive–Negative Dual Process | 1 | 0.70 | 3.57 | |
BIM Model for Facilitating Decision-Making and Reducing Risks in Construction Activities to Increase Efficiency | 1 | 0.70 | 3.57 | |
3P+I Model: Preventing Future Accidents | 1 | 0.70 | 3.57 | |
BIM Model in the Construction Industry, GRIS Clustering Model | 1 | 0.70 | 3.57 | |
Attribute-Based Risk Analysis Model with Risk Degree | 1 | 0.70 | 3.57 | |
Theoretical Model Based on the Conservation of Resources (COR) Theory | 1 | 0.70 | 3.57 | |
COM-B Model: People Need Capability (C), Opportunity (O), and Motivation (M) to Perform a Behavior (B) | 1 | 0.70 | 3.57 | |
Multilevel Safety Climate Model | 1 | 0.70 | 3.57 | |
CART Model, Neural Network | 1 | 0.70 | 3.57 | |
Job Risk Model | 1 | 0.70 | 3.57 | |
Holistic Model for the Assessment of Safety and Occupational Health Risks (HOHSRAM) | 1 | 0.70 | 3.57 | |
Ordered Logit Model of Random Parameters | 1 | 0.70 | 3.57 | |
Hierarchical Linear Model for Construction Projects | 1 | 0.70 | 3.57 | |
SOR Model (Stimulus–Organism–Response) | 1 | 0.70 | 3.57 | |
Theoretical Model Introducing Affective Commitment as a Moderating Variable | 1 | 0.70 | 3.57 | |
PSC-12 Psychological Safety Climate Model | 1 | 0.70 | 3.57 | |
Multiple Factor Comprehensive Analysis (CAMF) Model | 1 | 0.70 | 3.57 | |
Occupational Safety and Health Risk Assessment Model for Assessing and Classifying Occupational Risks | 1 | 0.70 | 3.57 | |
Conceptual Model for Measuring Construction Workers’ Safety Behaviors | 1 | 0.70 | 3.57 | |
SEIR Model (Susceptible, Exposed, Infected, Recovered) | 1 | 0.70 | 3.57 | |
Mediation Model of Occupational Stress | 1 | 0.70 | 3.57 | |
Fundamental Conceptual Model of Work Behaviors | 1 | 0.70 | 3.57 | |
Hybrid Fuzzy-Based Occupational Risk Assessment Model (CHFORAM) | 1 | 0.70 | 3.57 | |
Stress, Cognition, Safety Model | 1 | 0.70 | 3.57 |
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Puente Riofrío, M.I.; Mostacero Llerena, S.J.; Uquillas Granizo, G.G. Organizational Climate in Construction Companies: A Systematic Literature Review. Adm. Sci. 2024, 14, 51. https://doi.org/10.3390/admsci14030051
Puente Riofrío MI, Mostacero Llerena SJ, Uquillas Granizo GG. Organizational Climate in Construction Companies: A Systematic Literature Review. Administrative Sciences. 2024; 14(3):51. https://doi.org/10.3390/admsci14030051
Chicago/Turabian StylePuente Riofrío, Mariana Isabel, Soledad Janett Mostacero Llerena, and Gilma Gabriela Uquillas Granizo. 2024. "Organizational Climate in Construction Companies: A Systematic Literature Review" Administrative Sciences 14, no. 3: 51. https://doi.org/10.3390/admsci14030051
APA StylePuente Riofrío, M. I., Mostacero Llerena, S. J., & Uquillas Granizo, G. G. (2024). Organizational Climate in Construction Companies: A Systematic Literature Review. Administrative Sciences, 14(3), 51. https://doi.org/10.3390/admsci14030051