Impact of Customer, Environment and Company Side Uncertainty and Risk on Logistical Performance: An Analysis on Pakistan Courier Industry
DOI:
https://doi.org/10.18034/gdeb.v8i1.95Keywords:
Customer, environment, risk, uncertainty, logistics, SEMAbstract
This study investigates the supply chain uncertainty and risk on the logistics performance of Pakistan courier industry. The three main constructs under the supply chain uncertainty are company side, customer side, and environmental side risk uncertainty. The data has been gathered by means of a questionnaire with a seven scale measurement from which 200 responses have been gathered from the managers, staff members to higher-level managers of the Pakistan Courier industry. The study has used structural equation modeling for the data analysis. The study found that there is a significant relationship between the company-side, customer-side and environmental side risks on the logistics performance of the Pakistan courier industry. The statistical analysis clearly reveals that the courier has been facing the major risk that could affect the health and performance of the company, therefore, it is important to focus on the logistics performance as it is the most notable factor to make courier industry efficient and directly interrelates with the company progress and success.
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References
Ahmed, A., & Ahsan, H. (2011). The contribution of the services sector in the economy of Pakistan. Working Papers & Research Reports, 2011.
Arvis, J., Saslavsky, D., Ojala, L., Shepherd, B., Busch, C. & Raj, A. (2014). Connecting to Compete 2014 – Trade Logistics in the Global Economy: The Logistics Performance Index and Its Indicators, World Bank, Washington, DC DOI: https://doi.org/10.1596/20399
Aven, T. (2011). Quantitative Risk Assessment: The Scientific Platform, Cambridge University Press, New York.
Bai, C., Du, Y., Tao, Z. & Tong, S.Y. (2004). ‘Local protectionism and regional specialization: China's industries', Journal of International Economics, Vol. 63, No. 2, pp.397–417.
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14, 189–217. DOI: https://doi.org/10.1287/isre.14.2.189.16018
Chow, G., Heaver, T. D., & Henriksson, L. E. (1994). Logistics performance: definition and measurement. International journal of physical distribution & logistics management, 24(1), 17-28. DOI: https://doi.org/10.1108/09600039410055981
Christopher, M & Lee, H. (2004). 'Mitigating supply chain risk through improved confidence', International Journal of Physical Distribution & Logistics Management, vol. 34, no. 5, pp. 388-96.
Christopher, M. (1998). Logistics and supply chain management: strategies for reducing cost and improving service, 2nd edn, Financial Times Management, London. DOI: https://doi.org/10.1080/13675569908901575
Cohen, S & Roussel, J. (2005). Strategic supply chain management: the five disciplines for top performance, McGraw-Hill, NY.
Coyle, JJ, Langley, CJ, Gibson, BJ, Novack, RA & Bardi, EJ. (2008). Supply chain management: a logistics perspective, 8th edn, South-Western Cengage Learning, OH
Dawn News. (2011). Removal of hurdles in logistics, supply chain sought. Retrieved from https://www.dawn.com/news/675311.
Feng, M., Mangan, J. & Lalwani, C. (2012). ‘Comparing port performance: Western European versus Eastern Asian ports’, International Journal of Physical Distribution and Logistics Management, Vol. 42, No. 5, pp.490–512 DOI: https://doi.org/10.1108/09600031211246537
Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18, 382-388. DOI: https://doi.org/10.1177/002224378101800313
http://dx.doi.org/10.2307/3150980 DOI: https://doi.org/10.2307/3150980
Gani, A. (2017). The Logistics Performance Effect in International Trade. The Asian Journal of Shipping and Logistics, 33(4), pp.279-288. DOI: https://doi.org/10.1016/j.ajsl.2017.12.012
Helena, F. (2012). ‘Performance management in supply chains: logistics service providers’ perspective’, International Journal of Physical Distribution & Logistics Management, vol. 42, no. 3, pp. 296–311.
Hudson, W.R., Haas, R. & Uddin, W. (1997). Infrastructure management: Integrating design, construction, maintenance, rehabilitation, and renovation (Vol. 9). New York: McGraw-Hill.
Jüttner, U, Peck, H & Christopher, M. (2003). Supply Chain Risk Management: Outlining an Agenda for Future Research, International Journal of Logistics Research and Applications 6(4), pp. 197-210
Kimmons, R. (2018). Logistics Performance. Retrieved from https://smallbusiness.chron.com/logistics-performance-24822.html
Knight, FH. (1921). Risk, Uncertainty and Profit, Houghton Mifflin Company, Boston, New York.
Leighton, RM. (2012). Logistics, Oxford University Press, UK
Manuj, I & Mentzer, JT. (2008). ‘Global supply chain risk management’, Journal of Business Logistics, vol. 29, no. 1, pp. 133–55.
McManus, H & Hastings, D. (2006). 'A framework for understanding uncertainty and its mitigation and exploitation in complex systems', IEEE Engineering Management Review, vol. 34, no. 3, pp. 81-.
Miller, KD. (1992), A Framework for Integrated Risk Management in International Business, Journal of International Business Studies 23(2), p. 311.
Murugesan, P, Natarajan, T & Lakshminarayanan, M. (2013). ‘Assessment of supply chain risk: scale development and validation’, benchmarking: an International Journal, vol. 20, no. 1, pp. 79–105.
Nordas, H. K., Pinali, E., & Grosso, M. G. (2006). “Logistics and time as a trade barrier”, OECD Trade Policy Working Paper, No. 35, OECD, Paris
Olson DL, & Wu D. (2011). Risk management models for supply chain: a scenario analysis of outsourcing to China. Supply Chain Manag Int J; 16(6): 401-8.
Pichet, K & Shinya, H. (2008). ‘Evaluating the logistics performance of intermodal transportation in Thailand’, Asia Pacific Journal of Marketing and Logistics, vol. 20, no. 3, pp. 323–42. pp. 397–417.
Prater, E. (2005). A Framework for Understanding the Interaction of Uncertainty and Information Systems on Supply Chains, International Journal of Physical Distribution & Logistics Management 35(7), pp. 524-539.
Rani, P.D.L. (2015). Supply Chain Collaboration Practices (A Study on Manufacturing Companies–Ethiopia).
Richard, W & Rein, J. (2004). ‘Customer perceptions of logistics outsourcing in the European consumer goods industry', International Journal of Physical Distribution & Logistics Management, vol. 34, no. 8, pp. 628–44.
Rodrigues, VS, Potter, A & Naim, MM. (2010). ‘The impact of logistics uncertainty on sustainable transport operations’, International Journal of Physical Distribution & Logistics Management, vol. 40, no. 1/2, pp. 61–83.
Rodrigues, VS, Potter, A & Naim, MM. (2010). 'Evaluating the causes of uncertainty in logistics operations', International Journal of Logistics Management, vol. 21, no. 1, pp. 45-64 DOI: https://doi.org/10.1108/09574091011042179
Rodrigues, VS, Stantchev, D, Potter, A, Naim, M & Whiteing, A. (2008). 'Establishing a transport operation focused uncertainty model for the supply chain', International Journal of Physical Distribution & Logistics Management, vol. 38, no. 5-6, pp. 388- 411.
Shapira, Z. (1987). 'Managerial Perspectives on Risk and Risk Taking', vol. 33, no. 11, pp. 1404-18
Simangunsong, E, Hendry, LC & Stevenson, M. (2012). ‘Supply-chain uncertainty: a review and theoretical foundation for future research’, International Journal of Production Research, vol. 50, no. 16, pp. 4493–523.
Stewart, N. (2011). Australian Logistics Challenges and Ways to Overcome Them.
Tang, CS. (2006). 'Perspectives in supply chain risk management', International Journal of Production Economics, vol. 103, no. 2, pp. 451-88.
Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. American Psychological Association. DOI: https://doi.org/10.1037/10694-000
Waters, D (2011). Supply Chain Risk Management Vulnerability and Resilience in Logistics, 2nd ed. edn, Kogan Page, London.
Zuraimi, A., Yaacob, M. & Ibrahim, M. (2013) ‘Logistics development in Malaysia East Coast Region: infrastructure, constraints and challenges’, International Journal of Trade, Economics and Finance, Vol. 4, No. 5, pp.325–330. DOI: https://doi.org/10.7763/IJTEF.2013.V4.310
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