BazEkon - Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie

BazEkon home page

Meny główne

Autor
Malik Tahir Mumtaz (Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology, SZABIST, Islamabad, Pakistan), Hassan Syed Mahmmod (NED University of Engineering and Technology Karachi, Pakistan), Tufail Muhammad M. B. (Bahria University, Pakistan)
Tytuł
The Impact of Supplier Strategic Partnership in Supply Chain on Organizational Performance: An Empirical Study of Supply Chain Management in an Emerging Economy
Źródło
LogForum, 2023, vol. 19, nr 2, s. 277-293, rys., tab., wykr., bibliogr. 84 poz.
Słowa kluczowe
Przedsiębiorstwo, Zarządzanie łańcuchem dostaw, Łańcuch dostaw, Partnerstwo strategiczne, Badania ankietowe
Enterprises, Supply Chain Management (SCM), Supply chain, Strategic partnership, Questionnaire survey
Uwagi
summ.
Kraj/Region
Pakistan
Pakistan
Abstrakt
Background: The purpose of this study is to create a theoretical framework for analyzing the causal relationship between supply chain management practices and firm performance, in the FMCG sector of Pakistan. A quantitative research approach was adopted, in which a multi-item scale Web-based survey using a structured online questionnaire was utilized to collect the primary data. A total of 232 questionnaires were collected from a sample of Karachi-based FMCG companies in Pakistan. Confirmatory Factor analysis and internal consistency were used to test the reliability and fitness of the measurement model, and structural equation modeling-SEM was employed to test the proposed hypotheses. Empirical findings reveal that there is a significant positive relationship between SCM practices and firm performance. However, the results of the individual-level analysis of SCM practices appear to vary from practice to practice. Of various SCM practices, supplier strategic partnership SSC with the highest beta value (i.e., ß = 0.488; t-value = 32.381; p _ 0.000) was found to have the greatest impact on firm performance, followed by information sharing customer relationship, and finally the outsourcing. This study will guide supervisors with a more in-depth understanding of SCM practices and their potential contribution to firm performance. The findings also encourage managers to place supplier strategic partnerships and information systems on high priority, on both inter-firm and intra-firm relationships, as prerequisites for achieving superior firm performance. The propositions and results of the study provide managers with guidelines about effective management of upstream supply chain networks and awareness of the potential synergies that arise from suppliers and the information system. This article further enriches the literature in an evolving area of supply chain management practices. Two key factors facing supply chain managers and scholars are addressed, and establish their ability to drive firm performance.(original abstract)
Pełny tekst
Pokaż
Bibliografia
Pokaż
  1. Abdul-Hamid, A. Q., Ali, M. H., Tseng, M. L., Lan, S. & Kumar, M. (2020). Impeding challenges on industry 4.0 in circular economy: Palm oil industry in Malaysia. Comput Oper Res, 123, 105052. https://doi.org/10.1016/j.cor.2020.105052
  2. Ali, M. H., Zhan, Y., Alam, S. S., Tse, Y. K. & Tan, K. H. (2017). Food supply chain integrity: The need to go beyond certification. Industrial Management and Data Systems, 117(8), 1589-1611. https://doi.org/10.1108/IMDS-09-2016-0357
  3. Alkalha, Z., Reid, I. & Dehe, B. (2019). The role of absorptive capacity within supply chain quality integration. Supply Chain Management, 24(6), 805-820. https://doi.org/10.1108/SCM-10-2018-0375
  4. Amling, A. & Daugherty, P. J. (2020). Logistics and distribution innovation in China. International Journal of Physical Distribution and Logistics Management, 50(3), 323-332. https://doi.org/10.1108/IJPDLM-07-2018-0273
  5. Amoako-Gyampah, K., Boakye, K. G., Adaku, E. & Famiyeh, S. (2019). Supplier relationship management and firm performance in developing economies: A moderated mediation analysis of flexibility capability and ownership structure. International Journal of Production Economics, 208, 160-170. https://doi.org/10.1016/j.ijpe.2018.11.021
  6. Attri, R., Singh, B. & Mehra, S. (2017). Analysis of interaction among the barriers to 5S implementation using interpretive structural modeling approach. Benchmarking, 24(7), 1834-1853. https://doi.org/10.1108/BIJ-07-2016-0110
  7. Azad, N. & Ahmadi, F. (2015). The customer relationship management process: Its measurement and impact on performance. Uncertain Supply Chain Management, 3(1), 43-50. https://doi.org/10.5267/j.uscm.2014.9.002
  8. Babin, B. J., Griffin, M. & Hair, J. F. (2016). Heresies and sacred cows in scholarly marketing publications. Journal of Business Research, 69(8), 3133-3138. https://doi.org/10.1016/J.JBUSRES.2015.12.001
  9. Barney, J. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17(1), 99-120. https://doi.org/10.1177/014920639101700108
  10. Basnet, C., Corner, J., Wisner, J. & Tan, K. C. (2003). Benchmarking supply chain management practice in New Zealand. Supply Chain Management, 8(1), 57-64. https://doi.org/10.1108/13598540310463369
  11. Bendoly, E. & Kaefer, F. (2004, 1. October). Business technology complementarities: Impacts of the presence and strategic timing of ERP on B2B e-commerce technology efficiencies. Omega; Pergamon. https://doi.org/10.1016/j.omega.2004.02.004
  12. Betts, J. M. & Johnston, R. B. (2005). Just-in-time component replenishment decisions for assemble-to-order manufacturing under capital constraint and stochastic demand. International Journal of Production Economics, 95(1), 51-70. https://doi.org/10.1016/j.ijpe.2003.10.020
  13. Blonska, A., Storey, C., Rozemeijer, F., Wetzels, M. & de Ruyter, K. (2013). Decomposing the effect of supplier development on relationship benefits: The role of relational capital. Industrial Marketing Management, 42(8), 1295-1306. https://doi.org/10.1016/j.indmarman.2013.06.007
  14. Bradley, P. (1994). Contract logistics: It's all about costs. Purchasing, 117(6), 276-288.
  15. Bustinza, O. F., Arias-Aranda, D. & Gutierrez-Gutierrez, L. (2010). Outsourcing, competitive capabilities and performance: an empirical study in service firms. International Journal of Production Economics, 126(2), 276-288. https://doi.org/10.1016/j.ijpe.2010.03.023
  16. Chand, M. (2021). Strategic assessment and mitigation of risks in sustainable manufacturing systems. Sustainable Operations and Computers, 2, 206-213. https://doi.org/10.1016/j.susoc.2021.07.004
  17. Chavez, P. J. A. & Seow, C. (2012). Managing food quality risk in global supply chain: A risk management framework. International Journal of Engineering Business Management, 4(1). https://doi.org/10.5772/46116
  18. Chow, W. S., Madu, C. N., Kuei, C. H., Lu, M. H., Lin, C. & Tseng, H. (2008). Supply chain management in the US and Taiwan: An empirical study. Omega, 36(5), 665-679. https://doi.org/10.1016/j.omega.2006.01.001
  19. Chowdhury, M. M. H. & Quaddus, M. A. (2015). A multiple objective optimization based QFD approach for efficient resilient strategies to mitigate supply chain vulnerabilities: The case of garment industry of Bangladesh. Omega (United Kingdom), 57, 5-21. https://doi.org/10.1016/j.omega.2015.05.016
  20. Choy, K. & Lee, W. (2002). On the development of a case-based supplier management tool for multi-national manufacturers. In Measuring Business Excellence, 6(1),. Christopher, M. (2011). Logistics & supply chain management (4. ed). Harlow: Financial Times (pp. 15-22). https://doi.org/10.1108/13683040210420501
  21. Cohen, J. (2013). Statistical Power Analysis for the Behavioral Sciences. Statistical Power Analysis for the Behavioral Sciences. https://doi.org/10.4324/9780203771587
  22. Dekker, R., Van Asperen, E., Ochtman, G. & Kusters, W. (2009). Floating stocks in FMCG supply chains: Using intermodal transport to facilitate advance deployment. International Journal of Physical Distribution & Logistics Management, 39(8), 632-648. https://doi.org/10.1108/09600030910996297
  23. Dey, P. K., Bhattacharya, A., Ho, W. & Clegg, B. (2015). Strategic supplier performance evaluation: A case-based action research of a UK manufacturing organisation. International Journal of Production Economics, 166, 192-214. https://doi.org/10.1016/j.ijpe.2014.09.021
  24. Doan, T. T. T. (2020). Supply chain management drivers and competitive advantage in manufacturing industry. Uncertain Supply Chain Management, 8(3), 473-800. https://doi.org/10.5267/J.USCM.2020.5.001
  25. Du, R. Y. (2010). Research Reliability and Validity. Wiley International Encyclopedia of Marketing. https://doi.org/10.1002/9781444316568.WIEM02008
  26. Fawcett, S. E., Osterhaus, P., Magnan, G. M., Brau, J. C. & McCarter, M. W. (2007). Information sharing and supply chain performance: The role of connectivity and willingness. Supply Chain Management: An International Journal, 12(5), 358-368. https://doi.org/10.1108/13598540710776935
  27. Flöthmann, C., Hoberg, K. & Wieland, A. (2018). Competency requirements of supply chain planners & analysts and personal preferences of hiring managers. Supply Chain Management, 23(6), 480-499. https://doi.org/10.1108/SCM-03-2018-0101
  28. Flynn, B. B., Huo, B. & Zhao, X. (2010). The impact of supply chain integration on performance: A contingency and configuration approach. Journal of Operations Management, 28(1), 58-71. https://doi.org/10.1016/J.JOM.2009.06.001
  29. Gewald, H. & Hinz, D. (2004). A Framework for Classifying the Operational Risks of Outsourcing Integrating Risks from Systems, Processes, People and External Events within the Banking Industry. http://aisel.aisnet.org/pacis2004/84
  30. Ghalem, Okar, C., Chroqui, R. & Semma, E. (2018). Air Traffic Management Performance framework Case Study: Morocco. IFAC-PapersOnLine, 51(11), 1-6. https://doi.org/10.1016/j.ifacol.2018.08.225
  31. Gligor, D., Gligor, N. & Maloni, M. (2019). The impact of the supplier's market orientation on the customer market orientation-performance relationship. International Journal of Production Economics, 216, 81-93. https://doi.org/10.1016/j.ijpe.2019.04.022
  32. Green, K. W., Inman, R. A., Sower, V. E. & Zelbst, P. J. (2019). Comprehensive supply chain management model. Supply Chain Management, 24(5), 590-603. https://doi.org/10.1108/SCM-12-2018-0441
  33. Guerola-Navarro, V., Oltra-Badenes, R., Gil-Gomez, H. & Iturricha Fernández, A. (2021). Customer relationship management (CRM) and Innovation: A qualitative comparative analysis (QCA) in the search for improvements on the firm performance in winery sector. Technological Forecasting and Social Change, 169, 120838. https://doi.org/10.1016/j.techfore.2021.120838
  34. Hair, Joe F., Howard, M. C. & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110. https://doi.org/10.1016/J.JBUSRES.2019.11.069
  35. Hair, Joe F., Ringle, C. M. & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202
  36. Hair, Joseph F., Sarstedt, M. & Ringle, C. M. (2019). Rethinking some of the rethinking of partial least squares. European Journal of Marketing, 53(4), 566-584. https://doi.org/10.1108/EJM-10-2018-0665
  37. Henseler, J., Ringle, C. M. & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/S11747-014-0403-8
  38. Hsiao, H. I., Kemp, R. G. M., van der Vorst, J. G. A. J. & (Onno) Omta, S. W. F. (2010). A classification of logistic outsourcing levels and their impact on service performance: Evidence from the food processing industry. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2009.09.010
  39. Hu, L. T. & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
  40. Hussein Zolait, A., Razak Ibrahim, A., Sundram, V. P. K. & Chandran, V. G. R. (2010). Supply chain integration: An empirical study on manufacturing industry in Malaysia. Journal of Systems and Information Technology, 12(3), 210-221. https://doi.org/10.1108/13287261011070830
  41. Jharkharia, S. & Shankar, R. (2004). Supply Chain Management: Some Insights From Indian Manufacturing Companies. Asian Academy of Management Journal, 9(1), 79-98.
  42. Kenyon, G. N., Meixell, M. J. & Westfall, P. H. (2016). Production outsourcing and operational performance: An empirical study using secondary data. International Journal of Production Economics, 171, 336-349. https://doi.org/10.1016/j.ijpe.2015.09.017
  43. Kochan, C. G. & Nowicki, D. R. (2018). Supply chain resilience: a systematic literature review and typological framework. In International Journal of Physical Distribution and Logistics Management (Vol. 48, Issue 8, pp. 842-865). Emerald Group Publishing Ltd. https://doi.org/10.1108/IJPDLM-02-2017-0099
  44. Koh, S. C. L., Demirbag, M., Bayraktar, E., Tatoglu, E. & Zaim, S. (2007). The impact of supply chain management practices on performance of SMEs. Industrial Management and Data Systems, 107(1), 103-124. https://doi.org/10.1108/02635570710719089
  45. Kumar, A., Singh, R. K. & Modgil, S. (2020). Influence of data-driven supply chain quality management on organizational performance: evidences from retail industry. TQM Journal. https://doi.org/10.1108/TQM-06-2020-0146
  46. Kumar, D., Singh, O. M. P. A. L. & Singh, J. (2010). an Analytical Framework for Critical Literature Review of Supply Chain Design. International Journal, 6(3), 293-317.
  47. Kumar, R., Singh, R. K. & Shankar, R. (2014). Strategy development by Indian SMEs for improving coordination in supply chain an empirical study. Competitiveness Review, 24(5), 414-432. https://doi.org/10.1108/CR-06-2012-0016
  48. Kusi-Sarpong, S., Sarkis, J. & Wang, X. (2016). Green supply chain practices and performance in Ghana's mining industry: A comparative evaluation based on DEMATEL and AHP. International Journal of Business Performance and Supply Chain Modelling, 8(4), 320-347. https://doi.org/10.1504/IJBPSCM.2016.081290
  49. Langdon, R. J., Yousefi, P. D., Relton, C. L. & Suderman, M. J. (2021). Epigenetic modelling of former, current and never smokers. Clinical Epigenetics. https://doi.org/10.1186/s13148-021-01191-6
  50. Li, S., Qiao, J., Cui, H. & Wang, S. (2020). Realizing the environmental benefits of proactive environmental strategy: The roles of green supply chain integration and relational capability. Sustainability (Switzerland), 12(7). https://doi.org/10.3390/su12072907
  51. Lieb, R. C. & Bentz, B. A. (2004). The use of third-party logistics services by large American manufacturers: The 2003 survey. Transportation Journal, 43(3), 24-33. https://doi.org/10.2307/20713595
  52. Liengaard, B. D., Sharma, P. N., Hult, G. T. M., Jensen, M. B., Sarstedt, M., Hair, J. F. & Ringle, C. M. (2021). Prediction: Coveted, Yet Forsaken? Introducing a Cross-Validated Predictive Ability Test in Partial Least Squares Path Modeling. Decision Sciences, 52(2), 362-392. https://doi.org/10.1111/DECI.12445
  53. Lin, C., Chow, W. S., Madu, C. N., Kuei, C. H. & Pei Yu, P. (2005). A structural equation model of supply chain quality management and organizational performance. International Journal of Production Economics, 96(3), 355-365. https://doi.org/10.1016/j.ijpe.2004.05.009
  54. Ma, H. L. & Wong, W. H. C. (2018). A fuzzy-based House of Risk assessment method for manufacturers in global supply chains. Industrial Management and Data Systems, 118(7), 1463-1476. https://doi.org/10.1108/IMDS-10-2017-0467
  55. Machado, M. C., Telles, R., Sampaio, P., Queiroz, M. M. & Fernandes, A. C. (2019). Performance measurement for supply chain management and quality management integration. Benchmarking: An International Journal, 27(7), 2130-2147. https://doi.org/10.1108/BIJ-11-2018-0365
  56. Mahmud, P., Paul, S. K., Azeem, A. & Chowdhury, P. (2021). Evaluating supply chain collaboration barriers in smalland medium-sized enterprises. Sustainability (Switzerland), 13(13). https://doi.org/10.3390/su13137449
  57. Mbuthia, M. G &Rotich, G. (2014). Effects of supply chain management practices on competitive advantage in retail chain stores in Kenya, a case study of Nakumatt Holding Limited. European Journal of Business Management, 2 (1), 336-349. 98 Mensah, C., Diyuoh, D. and Oppong, D. (2014).Asses. Journal, Vol.2, No.(1), 336-349.
  58. Mugenda, O. & Mugenda, A. (2003). Research methods: Quantitative and qualitative Approaches. Nairobi: African Centre for Technology Studies. In Open Access Library Journal (Vol. 2, Issue 2). African Centre for Technology Studies. https://doi.org/10.12691/education-2-11A-5
  59. Munir, M., Jajja, M. S. S., Chatha, K. A. & Farooq, S. (2020). Supply chain risk management and operational performance: The enabling role of supply chain integration. International Journal of Production Economics, 227. https://doi.org/10.1016/j.ijpe.2020.107667
  60. Nag, T. & Ferdausy, D. S. (2021). Supply Chain Management Practices and Supply Chain Performance in the Manufacturing Industries of Bangladesh. In Logistics & Supply Chain Review (Vol. 2, Issue 1). Monash University Faculty of Business and Economics. https://doi.org/10.38157/logistics-supply-chain-review.v2i1.192
  61. Niknejad, A. & Petrovic, D. (2016). A fuzzy dynamic Inoperability Input-output Model for strategic risk management in Global Production Networks. International Journal of Production Economics, 179, 44-58. https://doi.org/10.1016/j.ijpe.2016.05.017
  62. Olorunniwo, F. O. & Li, X. (2010). Information sharing and collaboration practices in reverse logistics. Supply Chain Management, 15(6), 454-462. https://doi.org/10.1108/13598541011080437
  63. Omain, S. Z. (2017). Supply Chain Management Practices in Malaysia Palm Oil Firm. The 11th Asia Pacific Industrial Engineering and Management Systems Conference, 1(1), 287-295.
  64. Owiti, I., Ombwayo, K. & Atambo-, W. N. (2017). Effects of Supply Chain Quality Management Practices on Performance of SACCOs in Nakuru County , Kenya . Imperial Journal of Interdisciplinary Research, 3(3), 959-982.
  65. Pournader, M., Kach, A., Fahimnia, B. & Sarkis, J. (2019). Outsourcing performance quality assessment using data envelopment analytics. International Journal of Production Economics, 207, 173-182. https://doi.org/10.1016/j.ijpe.2016.07.004
  66. Prajogo, D. & Olhager, J. (2012). Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration. International Journal of Production Economics, 135(1), 514-522. https://doi.org/10.1016/j.ijpe.2011.09.001
  67. Pujawan, I. N. & Geraldin, L. H. (2009). House of risk: A model for proactive supply chain risk management. Business Process Management Journal, 15(6), 953-967. https://doi.org/10.1108/14637150911003801
  68. Rajaguru, R. & Matanda, M. J. (2019). Role of compatibility and supply chain process integration in facilitating supply chain capabilities and organizational performance. Supply Chain Management, 24(2), 315-330. https://doi.org/10.1108/SCM-05-2017-0187
  69. Rehman Khan, S. A. & Yu, Z. (2019). Introduction to supply chain management. In EAI/Springer Innovations in Communication and Computing. Prentice-Hall. https://doi.org/10.1007/978-3-030-15058-7_1
  70. Ringle, C. M., Sarstedt, M., Mitchell, R. & Gudergan, S. P. (2020). Partial least squares structural equation modeling in HRM research. International Journal of Human Resource Management, 31(12), 1617-1643. https://doi.org/10.1080/09585192.2017.1416655
  71. Rogers, H., Srivastava, M., Pawar, K. S. & Shah, J. (2016). Supply chain risk management in India - practical insights. International Journal of Logistics Research and Applications, 19(4), 278-299. https://doi.org/10.1080/13675567.2015.1075476
  72. Ryan, G. (2018). Introduction to positivism, interpretivism and critical theory. Nurse Researcher, 25(4), 14-20. https://doi.org/10.7748/nr.2018.e1466
  73. Shekhar, B. R. & Uma Maheswari Devi, P. (2015). Supply Chain Management Practices in Indian Electronics Industry. Developments in Marketing Science: Proceedings of the Academy of Marketing Science, 267-272. https://doi.org/10.1007/978-3-319-11806-2_115
  74. Shibin, K. T., Dubey, R., Gunasekaran, A., Hazen, B., Roubaud, D., Gupta, S. & Foropon, C. (2020). Examining sustainable supply chain management of SMEs using resource based view and institutional theory. Annals of Operations Research, 290(1-2), 301-326. https://doi.org/10.1007/s10479-017-2706-x
  75. Sukati, I., Hamid, A. B., Baharun, R., Huam, H. T. & Said, F. (2011). An empirical investigation on consumer goods industry in Malaysia. Journal of Financial Reporting and Accounting, ahead-of-p(ahead-of-print), 166-176.
  76. Tang, C. H. & Wang, Y. W. (2021). Transportation outsourcing problems considering feasible probabilities under stochastic demands. Computers and Operations Research, 126. https://doi.org/10.1016/j.cor.2020.105109
  77. Tang, C. S. (2006). Robust strategies for mitigating supply chain disruptions. International Journal of Logistics Research and Applications, 9(1), 33-45. https://doi.org/10.1080/13675560500405584
  78. Trent, R. J. & Monczka, R. M. (2003). Understanding integrated global sourcing. International Journal of Physical Distribution and Logistics Management, 33(7), 607-629. https://doi.org/10.1108/09600030310499286
  79. Wilhite, A., Burns, L., Patnayakuni, R. & Tseng, F. (2014). Military supply chains and closed-loop systems: Resource allocation and incentives in supply sourcing and supply chain design. International Journal of Production Research, 52(7), 1926-1939. https://doi.org/10.1080/00207543.2013.787173
  80. Williams, L. J., Hartman, N. & Cavazotte, F. (2010). Method variance and marker variables: A review and comprehensive cfa marker technique. Organizational Research Methods, 13(3), 477-514. https://doi.org/10.1177/1094428110366036
  81. Yang, Q., Zhao, X., Yeung, H. Y. J. & Liu, Y. (2016). Improving logistics outsourcing performance through transactional and relational mechanisms under transaction uncertainties: Evidence from China. International Journal of Production Economics, 175, 12-23. https://doi.org/10.1016/j.ijpe.2016.01.022
  82. Ye, F. & Wang, Z. (2013). Effects of information technology alignment and information sharing on supply chain operational performance. Computers and Industrial Engineering, 65(3), 370-377. https://doi.org/10.1016/j.cie.2013.03.012
  83. Yeung, K., Lee, P. K. C., Yeung, A. C. L. & Cheng, T. C. E. (2013). Supplier partnership and cost performance: The moderating roles of specific investments and environmental uncertainty. International Journal of Production Economics, 144(2), 546-559. https://doi.org/10.1016/j.ijpe.2013.04.008
  84. Zhou, H. & Benton, W. C. (2007). Supply chain practice and information sharing. Journal of Operations Management, 25(6), 1348-1365. https://doi.org/10.1016/j.jom.2007.01.009
Cytowane przez
Pokaż
ISSN
1895-2038
Język
eng
URI / DOI
http://dx.doi.org/10.17270/J.LOG.2023.789
Udostępnij na Facebooku Udostępnij na Twitterze Udostępnij na Google+ Udostępnij na Pinterest Udostępnij na LinkedIn Wyślij znajomemu