FACTORS AFFECTING INBOUND LOGISTICS PERFORMANCE  IN A MINING COMPANY

Nguyễn Thị Bích Hạnh

doi:10.34238/tnu-jst.4372

FACTORS AFFECTING INBOUND LOGISTICS PERFORMANCE IN A MINING COMPANY

About this article

Received: 16/04/21 Revised: 28/05/21 Published: 31/05/21

Authors

Nguyen Thi Bich Hanh , TNU - International School

Abstract

The study was conducted to identify factors affecting inbound logistics performance in a mining company. The research data was collected from 200 employees in Masan High-Tech Materials – a big mining company in Thai Nguyen province. The main methods used in this study include exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM). The results indicated there were two factors as inbound transportation and employee competency that affected inbound logistics performance. In particular, the inbound transportation factor had a strongly impact on inbound logistics performance. Based on these results, some policy recommendations which focused on inbound transportation and employee competency were proposed for mining companies to improve inbound logistics performance; thereby increasing competitive advantage in the market.

Keywords

Inbound logistics performance; Mining company; Inbound transportation; Employee competency; SEM

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References

[1] E. Tuomola, “Introducing an effective inbound logistics concept to the automotive industry: Preparing a Milk-Run transportation plan for Valmet Automotive Ltd,” Bachelor Thesis in International Business, Jamk University of Applied Sciences, 2014.

[2] M. Shyam, “Heuristic Modeling Approach for Inbound and Outbound Logistics System of an Automobile Supply Chain Network,” International Journal of Social Sciences and Humanities, no.1, pp. 1-7, 2012.

[3] G. Chow, T. D. Heaver, and L. E. Henriksson, “Logistics performance: Definition and measurement,” International Journal of Physical Distribution and Logistics Management, vol.24, no.1, pp.17-28, 1994.

[4] D. J. Bowersox, D. J. Closs, and M. B. Cooper, Supply Chain Logistics Management, New York: McGraw-Hill, 4^th ed., 2013.

[5] D. L. Haytko, “The performance construct in channels of distribution: A review and synthesis,” Proceeding of the American Marketing Association, 1994, pp. 262-271.

[6] J. T. Mentzer and B. P. Konrad, “An Efficiency/Effectiveness Approach to Inbound Logistics Performance,” Journal of Business Logistics, vol.12, no.1, pp. 33-62, 1991.

[7] B. S. Fugate, J. T. Mentzer, and T. P. Stank, “Inbound Logistics Performance: Efficiency, Effectiveness, and Differentiation,” Journal of Business Logistics, vol.31, no.1, pp. 43–62, 2010.

[8] D. M. Lambert, S. R. James, and L. M. Ellram, Fundamentals of Logistics Management. London: Irwin/McGraw-Hill, 2005.

[9] K. W. Green, Jr. B. Medlin, and D. Whitten, “Developing optimism to improve inbound logistics performance: an approach for the manufacturing sector,” Industrial Management & Data Systems, vol.104, no.2, pp. 106-14, 2004.

[10] R. Bhatnagar, A. S. Sohal, and R. Millen, “Third-party logistics services: A Singapore perspective,” International Journal of Physical Distribution & Logistics Management, vol. 29, no. 9, pp. 569-587, 1999.

[11] D. J. Closs, T. J. Goldsby, and S. R. Clinton, “Information technology influences on world class logistics capability,” International Journal of Physical Distribution & Logistics Management, vol.27, no.1, pp. 4-17, 1997.

[12] P. J. Daugherty, A. E. Ellinger, and D. S. Rogers, “Information accessibility: customer responsiveness and enhanced performance,” International Journal of Physical Distribution & Logistics Management, vol. 25, no.1, pp. 4-17, 1995.

[13] H. Liu, W. Ke, K. K. Wei, and Z. Hua, “The impact of IT capabilities on inbound logistics performance,” Decision Support Systems, vol.54, no.3, pp. 1452-1462, 2013.

[14] J. H. Havenga, “Trade facilitation through logistics performance: the enabling role of national government,” Journal of Transport and Supply Chain Management, vol.5, no.1, pp. 123–148, 2011.

[15] N. Daw, R. Vichayanan, M. Amir, and R. Warawude, “The critical factors affecting inbound logistics activities: An empirical study of Garment Industry in Myanmar,” Journal of International Business Management, vol.10, no.14, pp. 2597-2607, 2016.

[16] S. B. Hamza, A. Gerbi, and S. H. Ali, “Factors Affecting Inbound Logistics Performance in a case of Awassa Textile Company,” Global Journal of Management in Business Research, vol.16, no.3, pp. 996-1032, 2016.

[17] J. Pallant, “SPSS survival manual,” A step by step guide to data analysis using SPSS for Windows (version 12). Buckingham, UK: Open University Press, 2005.

[18] J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis. Prentice – Hall International Inc., 2009.

[19] G. Torkzadeh, W. J. Doll, and W Xia, “A confirmatory factor analysis of the end-user computing satisfaction instrument,” MIS Quarterly, vol.18, no.4, pp. 357–369, 1994.

[20] H. Baumgartner and C. Homburg, “Applications of Structural Equation Modeling in Marketing and Consumer Research,” A review International Journal of Research in Marketing, vol.13, no.2, pp. 139-161, 1996.

[21] L. Hu and P. M. Bentler, “Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives,” Structural Equation Modeling, vol.6, pp. 1-55, 1999.

[22] M. W. Browne and R. Cudeck, “Alternative Ways of Assessing Model Fit,” in Testing Structural Equation Models, K. Bollen and J. Long, eds. Sage, Newbury Park, 1993, pp. 136–162.

[23] S. Wright, “Correlation and causation,” Journal of Agricultural Research, vol. 20, no.7, pp. 557–585, 1921.

DOI: https://doi.org/10.34238/tnu-jst.4372

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