Towards Safer Workplace: A Survey-Based Study on Developing a Safety Climate Model for the Indonesian Paper Industry

Main Article Content

Nana Rahdiana
Bambang Suhardi
Retno Wulan Damayanti
Novie Susanto
Jafri Mohd Rohani

Keywords

Confirmatory Factor Analysis, paper industry, safety climate model, safety risk, workplace accident

Abstract

A reliable safety climate model is essential for evaluating safety behavior and predicting risks such as accidents or injuries, yet no research has specifically addressed the safety climate in the paper industry, either globally or in Indonesia. Recognized as high-risk due to its reliance on large machinery and hazardous chemicals, the paper industry has been understudied in this context. This research addresses the gap by developing a safety climate model tailored to the Indonesian paper industry, following a rigorous methodology that included a literature review, model design, validation processes, and Goodness-of-Fit testing. The study identified nine dimensions and 36 initial indicators, with strong content validity confirmed through Aiken’s V index, and refined through a survey of 313 employees—including managers, supervisors, and operators—at a paper factory in West Java, Indonesia. Confirmatory factor analysis (CFA) led to the final model, comprising nine dimensions and 32 validated indicators, achieving excellent fit across key criteria. These dimensions include management commitment, safety environment, safety communication, safety involvement, safety rules and procedures, safety training, safety competence, work pressure, and local wisdom. The validated model offers valuable insights into safety practices, providing a practical framework for improving safety performance in the Indonesian paper industry. By fostering a proactive safety culture and addressing sector-specific risks, this model has the potential to significantly reduce workplace accidents and improve overall safety performance, marking an important advancement in industry-specific safety research.

References

[1]D. Zohar, “Safety climate in industrial organizations: eoretical and applied implications,” J. Appl. Psychol., vol. 65, no. 1, pp. 96–102, 1980, doi: 10.1037/0021-9010.65.1.96.
[2]M. A. Griffin and A. Neal, “Perceptions of safety at work: A framework for linking safety climate to safety performance, knowledge, and motivation,” J. Occup. Health Psychol., vol. 5, no. 3, pp. 347–358, 2000, doi: 10.1037/1076-8998.5.3.347.
[3]M. N. Vinodkumar and M. Bhasi, “Safety climate factors and its relationship with accidents and personal attributes in the chemical industry,” Saf. Sci., vol. 47, no. 5, pp. 659–667, 2009, doi: 10.1016/j.ssci.2008.09.004.
[4]A. Ghahramani and H. R. Khalkhali, “Development and validation of a safety climate scale for manufacturing industry,” Saf. Health Work, vol. 6, no. 2, pp. 97–103, 2015, doi: 10.1016/j.shaw.2015.01.003.
[5]N. Milijic, I. Mihajlovic, N. Strbac, and Z. Zivkovic, “Developing a questionnaire for measuring safety climate in the workplace in Serbia,” Int. J. Occup. Saf. Ergon., vol. 19, no. 4, pp. 631–645, 2013, doi: 10.1080/10803548.2013.11077020.
[6]C. Wu, X. Song, T. Wang, and D. Fang, “Core dimensions of the construction safety climate for a standardized safety-climate measurement,” J. Constr. Eng. Manag., vol. 141, no. 8, p. 04015018, 2015, doi: 10.1061/(ASCE)CO.1943-7862.0000996.
[7]J. Zakaria, C. R. Che Hassan, M. D. Hamid, and E. H. Sukadarin, “Safety climate factors at selected chemical manufacturing plant in Malaysia,” Process Saf. Prog., vol. 39, no. 1, pp. 1–10, 2020, doi: 10.1002/prs.12096.
[8]Ø. Dahl and T. Kongsvik, “Safety climate and mindful safety practices in the oil and gas industry,” J. Safety Res., vol. 64, pp. 29–36, 2018, doi: 10.1016/j.jsr.2017.12.009.
[9]S. A. Kvalheim and Ø. Dahl, “Safety compliance and safety climate: A repeated cross-sectional study in the oil and gas industry,” J. Safety Res., vol. 59, pp. 33–41, 2016, doi: 10.1016/j.jsr.2016.10.006.
[10]S. F. Bahari and S. Clarke, “Cross-validation of an employee safety climate model in Malaysia,” J. Safety Res., vol. 45, pp. 1–6, 2013, doi: 10.1016/j.jsr.2012.12.003.
[11]C. Bensonch, C. D. Argyropoulos, C. Dimopoulos, C. Varianou Mikellidou, and G. Boustras, “Analysis of safety climate factors and safety compliance relationships in the oil and gas industry,” Saf. Sci., vol. 151, p. 105744, 2022, doi: 10.1016/j.ssci.2022.105744.
[12]M. Kiani, M. Asgari, F. Abbas Gohari, and Z. Rezvani, “Safety climate assessment: A survey in an electric power distribution company,” Int. J. Occup. Saf. Ergon., vol. 28, no. 2, pp. 709–715, 2022, doi: 10.1080/10803548.2020.1720995.
[13]X. Liu, G. Huang, H. Huang, S. Wang, Y. Xiao, and W. Chen, “Safety climate, safety behavior, and worker injuries in the Chinese manufacturing industry,” Saf. Sci., vol. 78, pp. 173–178, 2015, doi: 10.1016/j.ssci.2015.04.023.
[14]A. M. Saedi, A. A. Majid, and Z. Isa, “Evaluation of safety climate differences among employees’ demographic variables: A cross-sectional study in two different-sized manufacturing industries in Malaysia,” Int. J. Occup. Saf. Ergon., vol. 27, no. 3, pp. 714–727, 2021, doi: 10.1080/10803548.2019.1623454.
[15]K. C. Akyuz, I. Yildirim, and C. Gungor, “Validation of a pre-existing safety climate scale for the Turkish furniture manufacturing industry,” Int. J. Occup. Saf. Ergon., vol. 26, no. 3, pp. 450–458, 2018, doi: 10.1080/10803548.2018.1474505.
[16]M. T. Newaz, P. R. Davis, M. Jefferies, and M. Pillay, “Developing a safety climate factor model in construction research and practice: A systematic review identifying future directions for research,” Eng. Constr. Archit. Manag., vol. 25, no. 6, pp. 738–757, 2018, doi: 10.1108/ECAM-05-2017-0095.
[17]Q. Li, C. Ji, J. Yuan, and R. Han, “Developing dimensions and key indicators for the safety climate within China’s construction teams: A questionnaire survey on construction sites in Nanjing,” Saf. Sci., vol. 93, pp. 266–276, 2017, doi: 10.1016/j.ssci.2016.12.007.
[18]L. W. Saunders, B. M. Kleiner, A. P. McCoy, K. P. Ellis, T. Smith-Jackson, and C. Wernz, “Developing an inter- organizational safety climate instrument for the construction industry,” Saf. Sci., vol. 98, pp. 17–24, 2017, doi: 10.1016/j.ssci.2017.03.006.
[19]P. Braunger, H. Frank, C. Korunka, M. Lueger, and B. Kubicek, “Validating a safety climate model in metal processing industries: A replication study,” Int. J. Occup. Saf. Ergon., vol. 19, no. 1, pp. 143–155, 2013, doi: 10.1080/10803548.2013.11076967.
[20]S. Arghami, H. N. Parkestani, and I. Alimohammadi, “Reliability and validity of a safety climate questionnaire,”
J. Res. Health Sci., vol. 14, no. 2, pp. 140–145, 2014.
[21]F. Lestari, R. Y. Sunindijo, M. Loosemore, Y. Kusminanti, and B. Widanarko, “A safety climate framework for improving health and safety in the Indonesian construction industry,” Int. J. Environ. Res. Public Health, vol. 17, no. 20, pp. 1–20, 2020, doi: 10.3390/ijerph17207460.
[22]T. Kongsvik, Ø. Dahl, I. M. Holmen, and T. orvaldsen, “Safety climate and health complaints in the Norwegian aquaculture industry,” Int. J. Ind. Ergon., vol. 74, pp. 1–10, 2019, doi: 10.1016/j.ergon.2019.102863.
[23]S. H. Lin, W. J. Tang, J. Y. Miao, Z. M. Wang, and P. X. Wang, “Safety climate measurement at workplace in China: A validity and reliability assessment,” Saf. Sci., vol. 46, no. 7, pp. 1037–1046, 2008, doi: 10.1016/j.ssci.2007.06.010.
[24]K. Mearns, T. Rundmo, R. Flin, R. Gordon, and M. Fleming, “Evaluation of psychosocial and organizational factors in offshore safety: A comparative study,” J. Risk Res., vol. 7, no. 5, pp. 545–561, 2004, doi: 10.1080/1366987042000188795.
[25]D. Høivik, J. E. araldsen, V. Baste, and B. E. Moen, “What is most important for safety climate: e company belonging or the local working environment? - A study from the Norwegian offshore industry,” Saf. Sci., vol. 47, no. 10, pp. 1324–1331, 2009, doi: 10.1016/j.ssci.2009.04.001.
[26]D. C. Seo, M. R. Torabi, E. H. Blair, and N. T. Ellis, “A cross-validation of safety climate scale using confirmatory factor analytic approach,” J. Safety Res., vol. 35, no. 4, pp. 427–445, 2004, doi: 10.1016/j.jsr.2004.04.006.
[27]F. W. Guldenmund, “e nature of safety culture: A review of theory and research,” Saf. Sci., vol. 34, no. 1–3,
pp. 215–257, 2000, doi: 10.1016/S0925-7535(00)00014-X.
[28]X. Chen, H. Yu, and F. Yu, “What is the optimal number of response alternatives for rating scales? From an information processing perspective,” J. Mark. Anal., vol. 3, no. 2, pp. 69–78, 2015, doi: 10.1057/jma.2015.6.
[29]L. R. Aiken, “ree coefficients for analyzing the reliability and validity of ratings, educational and psychological measurement,” Educ. Psychol. Meas., vol. 45, no. 1, pp. 131–142, 1985, doi: 10.1177/0013164485451012.
[30]N. Keren, T. R. Mills, S. A. Freeman, and M. C. Shelley, “Can level of safety climate predict level of orientation toward safety in a decision making task?,” Saf. Sci., vol. 47, no. 10, pp. 1312–1323, 2009, doi: 10.1016/j.ssci.2009.02.003.
[31]J. F. Hair, G. T. M. Hult, C. M. Ringle, and M. Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd ed. ousand Oaks, CA: Sage Publications, Inc., 2017.
[32]S. Yamin, SmartPLS3, SmartPLS4, AMOS & STATA (Mudah dan Praktis), 3rd ed. Depok, Indonesia: PT Dewangga Energi Internasional, 2023.
[33]S. Yamin, Tutorial Statistik: SPSS, LISREL, WARPPLS & JASP (Mudah dan Aplikatif). Depok, Indonesia: PT Dewangga Energi Internasional, 2021.
[34]J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis: A Global Perspective. Upper Saddle River, NJ: Pearson Prentice Hall, 2010.
[35]Sugiyono, Metode Penelitian Pendidikan Pendekatan Kuantitatif, Kualitatif, dan R&D. Bandung, Indonesia: Alfabeta, 2014.
[36]J. F. Hair Jr., L. M. Matthews, R. L. Matthews, and M. Sarstedt, “PLS-SEM or CB-SEM: Updated guidelines on which method to use,” Int. J. Multivar. Data Anal., vol. 1, no. 2, p. 107, 2017, doi: 10.1504/IJMDA.2017.087624.
[37]M. A. Memon, H. Ting, J.-H. Cheah, R. urasamy, F. Chuah, and T. H. Cham, “Sample size for survey research: Review and recommendations,” J. Appl. Struct. Equ. Model., vol. 4, no. 2, pp. i–xx, 2020, doi: 10.47263/JASEM.4(2)01.
[38]B. Gaya, P. Seran, and E. S. Fernandez, “e influence of workload, stress, and local wisdom on employee performance at the Kupang State Polytechnic,” HINEF J. Rumpun Ilmu Pendidik., vol. 1, no. 2, pp. 7–33, 2022, doi: 10.5281/zenodo.6545324.
[39]D. Fornell and C. Larcker, “Evaluating structural equation models with unobservable variables and measurement error,” J. Mark. Res., vol. 18, no. 1, pp. 39–50, 1981, doi: 10.1177/002224378101800104.
[40]J. Henseler, C. M. Ringle, and M. Sarstedt, “A new criterion for assessing discriminant validity in variance-based structural equation modeling,” J. Acad. Mark. Sci., vol. 43, no. 1, pp. 115–135, 2015, doi: 10.1007/s11747-014- 0403-8.
[41]J. F. Hair, G. T. M. Hult, C. M. Ringle, M. Sarstedt, N. P. Danks, and S. Ray, Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Cham, Switzerland: Springer, 2021, doi: 10.1007/978-3-030-80519-7.
[42]J. B. Sexton et al., “e Safety Attitudes Questionnaire: Psychometric properties, benchmarking data, and emerging research,” BMC Health Serv. Res., vol. 6, p. 44, 2006, doi: 10.1186/1472-6963-6-44.
[43]K. Schermelleh-Engel, H. Moosbrugger, and H. Müller, “Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures,” MPR-online, vol. 8, no. 2, pp. 23–74, 2003. [Online]. Available: https://www.mpr-online.de.
[44]J. Umar and Y. F. Nisa, “Construct validity test with CFA and reporting,” J. Pengukuran Psikol. dan Pendidik. Indones., vol. 9, no. 2, pp. 1–11, 2020, doi: 10.21009/JPPP.092.01.