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Empirical study of employee loyalty and satisfaction in the mining industry using structural equation modeling

  • 1.

    Mostafa, M., Hamed, A., Omid, K., Ali, R. & Maryam, S. Effects of human and organizational deficiencies on workers’ safety behavior at a mining site in Iran. Epidemiol. Health. 40, 1–9 (2018).


    Google Scholar
     

  • 2.

    Bonsu, J., Van, D., Franzidis, J. P., Petersen, F. & Isafiade, A. A systemic study of mining accident causality: An analysis of 91 mining accidents from a platinum mine in South Africa. J. South Afr. Inst. Min. Metall. 117, 59–66 (2017).


    Google Scholar
     

  • 3.

    Yu, K., Cao, Q., Xie, C., Qu, N. & Zhou, L. Analysis of intervention strategies for coal miners’ unsafe behaviors based on analytic network process and system dynamics. Saf. Sci. 77, 160–168 (2015).


    Google Scholar
     

  • 4.

    Zhang, J., Xu, K., Reniers, G. & You, G. Statistical analysis the characteristics of extraordinarily severe coal mine accidents (ESCMAs) in China from 1950 to 2018. Process Saf. Environ. Prot. 133, 332–340 (2020).

    CAS 

    Google Scholar
     

  • 5.

    Luo, Z., Shi, B. & Li, P. Analysis of the law of serious and extra serious accidents in non-coal mines in China during 2001–2016. Gold. 40(1), 67–70 (2019).


    Google Scholar
     

  • 6.

    Chen, S. et al. Linear and nonlinear analyses of normal and fatigue heart rate variability signals for miners in high-altitude and cold areas. Comput. Methods Prog. Biomed. 196, 105667. https://doi.org/10.1016/j.cmpb.2020.105667 (2020).

    Article 

    Google Scholar
     

  • 7.

    Ge, J. et al. The main challenges of safety science. Saf. Sci. 118, 119–125 (2019).


    Google Scholar
     

  • 8.

    MohdZakir I. A Case Study of Safety Behaviour in the Construction Site. 2012 (Doctor aldissertation, Universiti Utara Malaysia).

  • 9.

    Chen, S. et al. Psychophysiological data-driven multi-feature information fusion and recognition of miner fatigue in high-altitude and cold areas. Comput. Biol. Med. 133, 104413. https://doi.org/10.1016/j.compbiomed.2021.104413 (2021).

    Article 
    PubMed 

    Google Scholar
     

  • 10.

    Li, J., Xu, K., Yao, X. & Chen, S. Prediction and optimization of syngas production from steam gasification: Numerical study of operating conditions and biomass composition. Energy Convers. Manag. 236, 114077. https://doi.org/10.1016/j.enconman.2021.114077 (2021).

    CAS 
    Article 

    Google Scholar
     

  • 11.

    Sathishkumar, V., Raghunath, P. & Suguna, K. Critical factors influencing to management risk in construction projects. Int. J. Eng. Sci. 4, 37–46 (2015).


    Google Scholar
     

  • 12.

    Zohar, D. & Luria, G. A multilevel model of safety climate: Cross-level relationships between organization and group-level climates. J. Appl. Psychol. 90, 616–628 (2005).

    PubMed 

    Google Scholar
     

  • 13.

    Mohamed, S. Safety climate in construction site environments. J. Constr. Eng. Manage 128, 375–384 (2002).


    Google Scholar
     

  • 14.

    Hofmann, D. & Morgeson, F. Safety-related behavior as a social exchange : The role of perceived organizational support and leader–member exchange. J. Appl. Psychol. 84, 286–296 (1999).


    Google Scholar
     

  • 15.

    Blau, P. Exchange and Power in Social Life (Transaction Publishers, 1964).


    Google Scholar
     

  • 16.

    Zhu, W., Zeng, R., Li, X., Zhu, Y. & Zhang, Z. Managerial drivers of Chinese labour loyalty in international construction projects. J. Civ. Eng. Manag. 23(8), 1109–1122 (2017).


    Google Scholar
     

  • 17.

    Ling, F., Dulaimi, M. & Chua, M. Strategies for managing migrant construction workers from China, India, and the Philippines. J. Prof. Issues Eng. Educ. Pract. 139, 19–26 (2012).


    Google Scholar
     

  • 18.

    Chih, Y. et al. Investigating employee turnover in the construction industry: A psychological contract perspective. J. Constr. Eng. Manag. 142, 04016006 (2016).


    Google Scholar
     

  • 19.

    Othman, A. An international index for customer satisfaction in the construction industry. Int. J. Constr. Manag. 4, 17–32 (2014).


    Google Scholar
     

  • 20.

    Strenitzerová, M. & Achimský, K. Employee satisfaction and loyalty as a part of sustainable human resource management in postal sector. Sustainability 11, 4591 (2019).


    Google Scholar
     

  • 21.

    Davidescu, A. A., Apostu, S.-A., Paul, A. & Casuneanu, I. Work flexibility, job satisfaction, and job performance among romanian employees-implications for sustainable human resource management. Sustainability 12, 6086 (2020).


    Google Scholar
     

  • 22.

    Lorincova, S., Hitka, M., Starchon, P. & Stachova, K. Strategic in struments for sustainability of human resource management in small and medium-sized enterprises using management data. Sustainability 10, 3687 (2018).


    Google Scholar
     

  • 23.

    Lévy-Garboua, L. & Montmarquette, C. Reported job satisfaction: What does it mean?. J Socio-Econ. 33, 135–151 (2004).


    Google Scholar
     

  • 24.

    Lévy-Garboua, L., Montmarquette, C. & Simonnet, V. Job satisfaction and quits. Labour Econ. 14, 251–268 (2007).


    Google Scholar
     

  • 25.

    Spector, P. Satisfaction: Application, Assessment Causes and Consequences (Sage, 1997).


    Google Scholar
     

  • 26.

    Rice, R., McFarlin, D. & Bennett, D. Standards of comparison and job satisfaction. J. Appl. Psychol. 74, 591–598 (1989).


    Google Scholar
     

  • 27.

    Locke, E. The nature and causes of job satisfaction. In Handbook of Industrial and Organizational Psychology (ed. Dunnette, M.) 1297–1349 (Rand McNally, 1976).


    Google Scholar
     

  • 28.

    Togia, A., Koustelios, A. & Tsigilis, N. Job satisfaction among Greek academic librarians. Libr. Inf. Sci. Res. 26, 373–383 (2004).


    Google Scholar
     

  • 29.

    Herzberg, F. Work and the Nature of Man (World Publishing, 1968).


    Google Scholar
     

  • 30.

    Petty, G., Brewer, E. & Brown, B. Job satisfaction among employees of a youth development organization. Child Youth Care Forum 34, 1 (2005).


    Google Scholar
     

  • 31.

    Turkyilmaz, A., Akman, G., Ozkan, C. & Pastuszak, Z. Empirical study of public sector employee loyalty and satisfaction. Ind. Manag. Data Syst. 111, 675–696 (2011).


    Google Scholar
     

  • 32.

    Zhou, Y. & Yu, H. 3D factor analysis of employee loyalty. Enterp. Reform. Dev. 3, 121–124 (2003).


    Google Scholar
     

  • 33.

    Zhao, R. & Li, G. Analysis of the reasons and countermeasures for the decline of employee loyalty. J. Liaocheng Univ. 4, 36–38 (2003).


    Google Scholar
     

  • 34.

    Dong, C. Review of the research on employees’ loyalty and loyalty degree. Sci-Tech Inf. Dev. Econ. 16(13), 154–156 (2006).


    Google Scholar
     

  • 35.

    Bitner, M. Evaluating service encounter: The effects of physical surroundings and employee responses. J. Mark. 54(2), 69–82 (1990).


    Google Scholar
     

  • 36.

    Host, V. & Knie-Andersen, M. Modeling customer satisfaction in mortgage credit companies. Int. J. Bank Mark. 22(1), 26–42 (2004).


    Google Scholar
     

  • 37.

    Parasuraman, V., Zeithaml, V. & Berry, L. SERVQUAL: A multiple-item scale for measuring consumer for perceptions of service quality. J. Retail. 64, 12–40 (1988).


    Google Scholar
     

  • 38.

    Chumpitaz, R. & Paparoidamis, N. Service quality and marketing performance in business-to-business markets: Exploring the mediating role of client satisfaction. Manag. Serv. Qual. 14(2/3), 235–248 (2004).


    Google Scholar
     

  • 39.

    Ibanez, V., Hartmann, P. & Calvo, P. Antecedents of customer loyalty in residential energy markets: Service quality, satisfaction, trust and switching costs. Serv. Ind. J. 26(6), 633–650 (2006).


    Google Scholar
     

  • 40.

    Robertson, T. & Gatignon, H. Competitive effects on techonology diffusion. J. Mark. 50, 1–12 (1986).


    Google Scholar
     

  • 41.

    Liu, Z., Su, X. & Li, M. Study on the relationship between service quality, price perception, enterprise image and customer satisfaction and customer Loyalty-A case study of spice industry. J. Qual. 14(4), 389–403 (2007).


    Google Scholar
     

  • 42.

    Chang, C. & Tu, C. Exploring store image, customer satisfaction and customer loyalty relationship: Evidence from Taiwanese hypermarket industry. J. Am. Acad. Bus. 7, 197–202 (2005).


    Google Scholar
     

  • 43.

    Josee, B. & Gaby, O.-S. Store satisfaction and store loyalty explained by customer and store-related factors. J. Consum. Satisfaction Dissatisfaction Complain. Behav. 15(1), 68–80 (2002).


    Google Scholar
     

  • 44.

    Jones, M. & Suh, J. Transaction-specific satisfaction and overall satisfaction: An empirical analysis. J. Serv. Mark. 14(2), 147–159 (2000).


    Google Scholar
     

  • 45.

    Hauser, J., Simester, D. & Birger, W. Customer satisfaction incentives. Mark. Sci. 13(4), 327–350 (1994).


    Google Scholar
     

  • 46.

    Chen, C. Job satisfaction, organizational commitment, and flight attendants’ turnover intentions: A note. J. Air Transp. Manag. 12, 274–276 (2006).


    Google Scholar
     

  • 47.

    Kline, R. Principles and Practice of Structural Equation Modelling (Guilford Press, 2005).

    MATH 

    Google Scholar
     

  • 48.

    Matzler, K. & Renzl, B. The relationship between interpersonal trust, employee satisfaction, and employee loyalty. Total Qual. Manag. Bus. Excell. 17, 1261–1271 (2007).


    Google Scholar
     

  • 49.

    Fletcher, C. & Williams, R. Performance management, job satisfaction and organizational commitment. Br. J. Manag. 7(2), 169–179 (1996).


    Google Scholar
     

  • 50.

    Martensen, A. & Gronholdt, L. Using employee satisfaction measurement to improve people management: An adaptation of Kano’s quality types. Total Qual. Manag. 2(7/8), 949–957 (2001).


    Google Scholar
     

  • 51.

    Al-Aameri, A. Job satisfaction and organizational commitment for nurses. Saudi Med. J. 21(6), 531–535 (2000).

    CAS 
    PubMed 

    Google Scholar
     

  • 52.

    Kumar, V., Shah, D. & Venkatesan, R. Managing retailer profitability-one customer at a time!. J. Retail. 82(4), 277–294 (2006).


    Google Scholar
     

  • 53.

    Lam, S., Shankar, V., Erramilli, M. & Murthy, B. Customer value, satisfaction, loyalty, and switching costs: An illustration from a business-to-business service context. J. Acad. Mark. Sci. 32(3), 293–311 (2004).


    Google Scholar
     

  • 54.

    Zeithaml, V. & Parasuraman, A. The behavioural consequences of service quality. J. Mark. 60, 31–46 (1996).


    Google Scholar
     

  • 55.

    Hong, K. & Lee, D. Impact of operational innovations on customer loyalty in the healthcare sector. Serv. Bus. 12, 575–600 (2018).


    Google Scholar
     

  • 56.

    Anderson, E., Fornell, C. & Lehmann, D. Customer satisfaction, market share and profitability: Findings from Sweden. J. Mark. 58(3), 53–66 (1994).


    Google Scholar
     

  • 57.

    Zhang, S. Research on the influence of customer satisfaction and trust on loyalty. J. Manag. 21(5), 611–627 (2004).


    Google Scholar
     

  • 58.

    Nguyen, N. & Leblanc, G. Corporate image and corporate reputation in customers’ retention decisions in services. J. Retail. Consum. Serv. 8(4), 227–236 (2001).


    Google Scholar
     

  • 59.

    Fornell, C. A national customer satisfaction barometer: The Swedish experience. J. Mark. 56(1), 6–21 (1992).


    Google Scholar
     

  • 60.

    Kim, M., Park, M. & Jeong, D. The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication. Telecommun. Policy 28, 145–159 (2004).


    Google Scholar
     

  • 61.

    Harkness, J. Guidelines for Best Practice in Cross-Cultural Surveys (Institute for Social Research. University of Michigan, Michigan, 2011).


    Google Scholar
     

  • 62.

    Xu, L., Prybutok, V. & Charles, B. An environmental awareness purchasing intention model. Ind. Manag. Data Syst. 119(2), 367–381 (2019).


    Google Scholar
     

  • 63.

    Zhang, Y. et al. Hospital service quality and patient loyalty: The mediation effect of empathy. J. Bus. Ind. Mark. 33(8), 1176–1186 (2018).


    Google Scholar
     

  • 64.

    Luis, M. et al. Perceived safety and attributed value as predictors of the intention to use autonomous vehicles: A national study with Spanish drivers. Saf. Sci. 120, 865–876 (2019).


    Google Scholar
     

  • 65.

    Gunzler, D., Chen, T., Wu, P. & Zhang, H. Introduction to mediation analysis with structural equation modeling. Shanghai Arch. Psychiatry. 25(6), 390–394 (2013).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • 66.

    Gefen, D., Straub, W. & Boudreau, M. Structural equation modelling and regression: I for research practice. Commun. Assoc. Inf. Syst. 4(7), 1–80 (2000).


    Google Scholar
     

  • 67.

    Nunnally, J. Psychometric Theory 2nd edn. (McGraw Hill, 1978).


    Google Scholar
     

  • 68.

    Brown, T. Confirmatory Factor Analysis for Applied Research (The Guilford Press, 2006).


    Google Scholar
     

  • 69.

    Eid, M., Lischetzke, T., Nussbeck, F. & Trierweiler, L. Separating trait effects from trait-specific method effects in multitrait–multimethod models: A multiple-indicator CT-C (M–1) model. Psychol. Methods. 8(1), 38–60 (2003).

    PubMed 

    Google Scholar
     

  • 70.

    Doll, W., Xia, W. & Torkzadeh, G. A confirmatory factor analysis of the end-user computing satisfaction instrument. MIS Q. 18(4), 453–461 (1994).


    Google Scholar
     

  • 71.

    Beltrán-Martín, I., Roca-Puig, V., Escrig-Tena, A. & Bou-Llusar, J. Human resource flexibility as a mediating variable between high performance work systems and performance. J. Manag. 34(5), 1009–1044 (2008).


    Google Scholar
     

  • 72.

    Hair, J., Black, W., Babin, B. & Anderson, R. Multivariate Data Analysis 7th edn, 677–679 (Pearson Prentice Hall, 2009).


    Google Scholar
     

  • 73.

    Anderson, J. & Gerbing, D. Structural equation modeling in practice: A review and recommended two-step approach. Psychol. Bull. 103(3), 411–423 (1988).


    Google Scholar
     

  • 74.

    Holmes-Smith, P., Coote, L. & Cunningham, E. Structural Equation Modeling: From the Fundamentals to Advanced Topics (SREAMS, 2006).


    Google Scholar
     

  • 75.

    Hair, J., Gabriel, M. & Patel, V. AMOS covariance-based structural equation modeling (CB-SEM): Guidelines on its application as a marketing research tool. Braz. J. Market. 13, 12 (2014).


    Google Scholar
     

  • 76.

    Hu, L. & Bentler, P. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct. Equ. Model. Multidiscip. J. 6, 1–55 (1999).


    Google Scholar
     

  • 77.

    Hair, J., Black, W., Babin, B., Anderson, R. & Tatham, R. Multivariate Data Analysis 6th edn. (Pearson Prentice Hall, 2006).


    Google Scholar
     

  • 78.

    Podsakoff, P. & Organ, D. Self-reports in organizational research: Problems and prospects. J. Manag. Off. J. Southern Manag. Assoc. 12, 531–544 (1986).


    Google Scholar
     

  • 79.

    Ryh-Wu, Y. & Jung-Chuen, L. Common method variance: Its test and control under the classic theory of measurement. J. Custom. Satisfaction. 10(1), 65–92 (2014).


    Google Scholar
     

  • 80.

    Hauck, W. & Shaikh, R. Sample sizes for batch acceptance from single and multistage design using two-sided normal tolerance intervals with specified content. J. Biopharm. Stat. 11, 335–346 (2001).

    CAS 
    PubMed 

    Google Scholar
     

  • 81.

    MacCallum, R. & Austin, J. Applications of structural equation modeling in psychological research. Annu. Rev. Psychol. 51, 201–226 (2000).

    CAS 
    PubMed 

    Google Scholar
     

  • 82.

    Xiong, B., Skitmore, M. & Xia, B. A critical review of structural equation modelling applications in construction research. Autom. Constr. 49, 59–70 (2015).


    Google Scholar
     

  • 83.

    Fornell, C. & Larcker, D. Structural equation models with unobservable variables and measurement error: Algebra and statistics. J. Mark. Res. 18, 382–388 (1981).


    Google Scholar
     

  • 84.

    Marsh, H. & Hocevar, D. Application of confirmatory factor analysis to the study of self-concept: First and higher-order factor models and their invariance across groups. Psychol. Bull. 97(3), 562–582 (1985).


    Google Scholar
     

  • 85.

    Lai, C., Chiu, C., Yang, C. & Pai, D. The effects of corporate social responsibility on brand performance: The mediating effect of industrial brand equity and corporate reputation. J. Bus. Ethics 95, 457–469 (2010).


    Google Scholar
     

  • 86.

    Marsh, H., Hau, K. & Wen, Z. In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in over-generalizing Hu and Bentler’s (1999) findings. Struct. Equ. Model. 11, 320–341 (2004).

    MathSciNet 

    Google Scholar
     

  • 87.

    Luis, M. et al. Perceived safety and attributed value as predictors of the intention to use autonomous vehicles: A national study with Spanish drivers. Saf. Sci. 120, 865–876 (2019).


    Google Scholar
     

  • 88.

    Meyer, S. & Collier, D. An empirical test of the causal relationships in the Baldrige health care pilot criteria. J. Oper. Manag. 19(4), 403–425 (2001).


    Google Scholar
     

  • 89.

    Carpenter, D. Capital and IT. Hosp Health Netw. 78(5), 7–9 (2004).


    Google Scholar
     

  • 90.

    Li, L. & Benton, W. Hospital technology and nurse staffing management decisions. J. Oper Manag. 24, 676–691 (2006).

    CAS 

    Google Scholar
     

  • 91.

    Hallowell, R., Schlesinger, L. & Zornitsky, J. Internal service quality, customer and job satisfaction: Linkages and implications for management. Hum. ResourPlann. 19(2), 20–31 (1996).


    Google Scholar
     

  • 92.

    Nockur, L., Arndt, L., Keller, J. & Pfattheicher, S. Collective choice fosters sustainable resource management in the presence of asymmetric opportunities. Sci. Rep. 10, 10724. https://doi.org/10.1038/s41598-020-67757-1 (2020).

    ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

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