Author

  • Thokozani Patmond Mbhele

    • University of KwaZulu-Natal, Governance, Westville Campus, Durban, South Africa
    • South Africa

Abstract

Information sharing in a retail supply chain presents challenges of mapping information flow in terms of collection and transfer capabilities from one point to other internal and external users. Efficient mapping information flow seems to be dependent on information availability, velocity and the level of volatility. This would strengthen partnerships between the upstream and downstream sites of a supply chain in terms of information capturing, transformation and exchange between both internal and external supply chain users. This study examines the relative magnitude of advance economic information sharing in optimizing integrated supply chain activities in the consumer goods industry. It further analyses the challenges of bullwhip effect from the perspective of electronically-enabled supply chain management (eSCM) systems and information sharing in the fast moving consumer goods (FMCG) industry. The study finds that information sharing is related to supply chain performance targets in the FMCG industry in terms of a higher order fulfillment rate and achieving shorter order cycle time through integrated e-SCM systems. The managerial implications of this study are that integrated IT infrastructure capability and top management support (in terms of visible involvement, commitment and participation of executives and the allocation of the necessary resources) are significant antecedents of the quality of shared information.

Keywords

References

  • Anderson, J. C. & Narus, J. A. (1990). A model of distributor firm and manufacturer firm working partnerships. Journal of Marketing , 54, 42-58
  • Anderson, V. (2009). Research Methods in Human Resource Management .(2nd Ed.), London: Chartered Institute of Personnel Development.
  • Babbie, E. & Mouton, J. (2001). The practice of social research. Cape Town: Oxford.
  • Balan, S., Vrat, P. & Kumar, P. (2009). Information distortion in a supply chain and its mitigation using soft computing approach. Omega , 37, 282-299.
  • Barratt, M. & Barratt, R. (2011). Exploring internal and external supply chain linkages: Evidence from the field. Journal of Operations Management , 29, 514-528.
  • Barratt, M. A. & Oke, A. (2007). Antecedents of supply chain visibility in retail supply chains: A resourcebased theory perspective. Journal of Operations Management , 25(6), 1217-1233.
  • Bartlett, J. E., Kotrlik, J. W. & Higgins, C. (2001). Organizational research: Determining appropriate sample size for survey research. Information Technology, Learning and Performance Journal , 19(1), 43-50.
  • Baum, C. F. (2006) . An Introduction to Econometrics Using Stata. Princeton University: Stata Press.
  • Blumberg, B., Cooper, D. R. & Schindler, P. S. (2008). Business Research Methods. New York: McGraw-Hill International.
  • Boccadoro, M., Marinelli, F. & Valigi, P. (2006). H-infinity control of a Supply Chain Model. Proceedings of the 45th IEEE Conference on Decision and Control, pp. 4387-4392.
  • Bowersox, D. J., Closs, D. J. & Cooper, M. B. (2013). Supply Chain Logistics Management . (4th Ed.) Boston: McGraw-Hill
  • Brown, S. (2008). Measures of Shape: Skewness and Kurtosis. New York: Oakes Road Systems, Tompkins Cortland Community College.
  • Cachon, G. P. & Fisher, M. (2000). Supply Chain inventory management and the value of shared information. Management Science, 46(8), 1032-1048.
  • Chang, S. C., Lin, R. J., Chen, J. H. & Huang, L. H. (2005). Manufacturing flexibility and manufacturing proactiveness: Empirical evidence from the motherboard industry. Industrial Management and Data Systems , 105(8), 1115-32
  • Chen, F. & Yu, B. (2005). Quantifying the Value of Lead time Information in a single-location inventory system. Manufacturing Service Operations Management, 7(2), 144-151.
  • Chen, F. (2003). Information sharing and supply chain coordination. Operations Research and Management Science , 11, 341-422
  • Chen, I. J., Paulraj, A. & Lado, A. (2004). Strategic purchasing, supply management and firm performance. Journal of Operations Management, 2(5), 333-343.
  • Cheng, T. C. E. & Wu, Y. N. (2005). The impact of information sharing in a two-level supply chain with multiple retailers. Journal of the Operational Research Society, 56,1159-1165.
  • Chengalur-Smith, I., Duchessi, P. & Gil-Garcia, J.R. (2012). Information sharing and business systems leveraging in supply chains: An empirical investigation of one web-based application. Information and Management , 49, 58-67
  • Childerhouse, P., Hermiz, R., Mason-Jones, R., Popp, A. & Towill, D.R. (2003). Information flow in automotive supply chains – identifying and learning to overcome barriers to change. Industrial management and Data Systems , 103(7), 491-502.
  • Chopra, S. & Meindl, P. (2007). Supply chain management: Strategy, planning and operations . (3rd Ed.), New Jersey: Pearson International edition.
  • Choudhury, B., Agarwal, Y. K., Singh, K. N. & Bandyopadhyay, D. K. (2008). Value of Information in a Capacitated Supply Chain. INFOR, 46(2), 117-127.
  • Christopher, M. (2011). Logistics and Supply chain management. (4th Ed.), Boston: Pearson Publication.
  • Chu, S. & Fang, W. (2006). Exploring the Relationships of Trust and Commitment in Supply Chain Management. Journal of American Academy of Business , 9(1), 224.
  • Cohen, J., Cohen, P., West, S. G. & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences . (3rd Ed.), New York: Lawrence Erlboum Associates.
  • Collis, J. & Hussey, R. (2009). Business Research: A practical guide for undergraduate students. Basingstoke: Palgrave.
  • Cooper, B. R. & Schindler, P. S. (2008). Business Research Methods. (10th Ed.), New York: McGraw-Hill International.
  • Croson, R., Donohue, K., Katok, E. & Sterman, J. (2005). Order Instability in Supply Chains: Coordination Risk and the Role of Coordination Stock. PSU Working Paper
  • Darlington, R. B. (2009). Factor Analysis. Pp. 1-23, Available at: http://www.psych.cornell.edu/Darlington/factor.htm. (Accessed: 14 February 2012).
  • Davies, M. B. (2007). Doing a successful Research Project using Qualitative Methods . Basingstoke: Palgrave MacMillan.
  • Davies, T. (2006). Collaborate to innovate. Supply Management , 11(1), 34.
  • Davis, M. D. & Heineke, J. (2005). Operations Management: Integrating manufacturing and services. (5th ed.), Boston: McGraw-Hill.
  • Dong, Y., Xu, K. & Dresner, M. (2007). Environmental determinants of VMI adoption: An exploratory analysis. Transportation Research Part E: Logistics and Transportation Review , 2, 355-369
  • Dougherty, P. J. (2011). Review of logistics and supply chain relationship and suggested research agenda. International Journal of Physical Distribution and Logistics Management, 42(1), 15-31.
  • Durugbo, C., Hutabarat, W., Tiwari, A. & Alcock, J.R. (2011). Information channel diagrams: An approach for modeling information flows. Journal of Intelligent Manufacturing, Springer Science , 1-13, D01:10,1007/S10845-011-0523-7.
  • Emiliani, M. L. (2003). The inevitability of conflict between buyers and sellers. Supply Chain Management , 8(2), 107-15
  • Ferguson, M. & Ketzenberg, M. (2006). Information sharing to improve retail product freshness of perishables. Production and Operations Management , 15(1), 57-73.
  • Fisher, I. M., (1997). What is the right Supply chain for your Product? Harvard Business Review, 75, 105116.
  • 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
  • Forrester, J. W. (1958). Industrial dynamics – A major breakthrough for decision markers. Harvard Business Review, 36(4), 37-66.
  • Fox, J. (1991). Regression Diagnostics . Thousand, Oakes, CA: Sage Publications.
  • Gao, T. S., Sirgy, J. M. & Bird, M. M. (2005). Reducing buyer decision-making uncertainty in organizational purchasing: can supplier trust, commitment, and dependence help. Journal of Business Research , 58(4), 397-405.
  • Garson, G. D. (2012). Factor Analysis. North Carolina: Statistical Associates Publishing.
  • Gavirneni, S., Kapuscinski, R. & Tayur, S. (1999). Value of information in capacitated supply chains. Management Science , 45(1), 16-24.
  • Ghosh, A. & Fedorowicz, J. (2008). The role of trust in supply chain governance. Business Process Management Journal , 14(4), 453-470.
  • Gounaris, S. P. (2005). Trust and commitment influences on customer retention: insights from businessto-business services. Journal of Business Research , 58, 126-140.
  • Hair, Jr, J. F., Babin, B, Money, A. H. & Samouel, P. (2003). Essentials of Business Research Methods. New York: John Wiley & Sons, Inc.
  • Hamilton, L. (2006). Statistics with Stata. Cole: Thomson Books.
  • Hartono, E., Li, X., Na, K. & Simpson, J. T. (2010). The role of the quality of shared information in interorganizational systems use. International Journal of Information Management , 30, 399-407.
  • Heffernon, T. (2004). Trust formation in cross-cultural business-to-business relationship. Qualitative Market Research , 7(2), 114-25.
  • Heikkila, J. (2002). From supply to demand chain management: efficiency and customer satisfaction. Journal of Operations Management , 20, 747-67.
  • Iskanius, P., Helaakoski, H., Alaruikka, A. M. & Kipina, J. (2004). Transparent information flow in business networks by using agents. IEEE International Engineering Management Conference, 3, 13421346.
  • Jarrell, J. L. (1998). Supply chain economics. World Trade , 11(11), 58-61.
  • Kerlinger, F. N. (1986). Foundations of Behavioral Research . (3rd Ed.), New York: Holt, Rinehart and Winston.
  • Komiak, X. S. & Benbasat, I. (2004). Understanding customer trust in agent-mediated electronic commerce, web-mediated electronic commerce, and traditional commerce. Information Technology and Management , 5(1/2), 181-207.
  • Kotabe, M., Martin, X. & Domoto, H. (2003). Gaining from vertical partnerships: Knowledge transfer, relationship duration and supplier performance improvement in the U.S. and Japanese automotive industries. Strategic Management Journal , 24(4), 293-316.
  • Krejcie, R. V. & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement , 30, 607-610.
  • Kwon, I. G. & Suh, T. (2004). Factors Affecting the Level of Trust and Commitment in Supply Chain Relationships. The Journal of Supply Chain Management , 40(2), 4-14.
  • Lee, H., Padmanabhan, P. & Whang, S. (1997). The Bullwhip effect in Supply Chains. Sloan Management Review, 38(3), 93-102.
  • Lee, J. & Kim, Y. (1999). Effect of partnership quality on IS outsourcing: conceptual framework and empirical validation. Journal of Management Information Systems , 15(4), 26-61.
  • Li, S & Lin, B. (2006). Accessing information sharing and information quality in supply chain management. Decision Support Systems , 42(3), 1641-1656.
  • Li, Z. & Gao, L. (2008). The effects of sharing upstream information on product rollover. Production and Operations Management Society, 17(5), 522-531.
  • Lin, F., Huang, S. & Lin, S. (2002). Effects of information sharing on supply chain performance in electronic commerce. IEEE Transactions on Engineering Management , 49(3), 258-268.
  • Mahalanobis, P. C. (1936). On the generalized distance in statistics. Proceedings of the National Institute of Science of India , 2(1), 49-55.
  • McIvor, R. & Humphreys, P. (2002). Electronic commerce: supporting collaborative buyer-supplier relations. International Journal of Services Technology and Management , 3(2), 192-207.
  • Mentzer, J. T., Soonhong, M. & Bobbit, L. M. (2004). Toward a unified theory of logistics. International Journal of Physical Distribution & Logistics Management, 34(8), 606-627.
  • Moinzadeh, K. (2002). Multi-Echelon Inventory System with Information Exchange. Management Science, 48(3), 414-426.
  • Morgan, R. M. & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing , 58(3), 20-38.
  • Myhr, N. & Spekman, R. E. (2005). Collaborative supply-chain partnerships built upon trust and electronically mediated exchange. Journal of Business and Industrial Marketing, 20(4/5), 179-186.
  • Ng, W. K., Piplani, R. & Viswanathan, S. (2003). Simulation workbench for analyzing multi-echelon supply chains. Integrated Manufacturing Systems , 14(5), 449-457.
  • Ngai, E. W. T., Chau, D. C. K. & Chan, T. L. A. (2011). Information technology, operational and management competencies for supply chain agility: Findings from case studies. Journal of Strategic Information Systems , 20, 232-249.
  • O’Brien, R. M. (2007). A Caution regarding rules of thumb for Variance Inflation Factors. Quality and Quantity , 41(5), 673-690.
  • Ouyang, Y. & Daganzo, C. (2006). Characterization of the Bullwhip Effect in Linear, Time-Invariant Supply Chains: Some Formulae and Tests. Management Science , 52(10), 1544-1556.
  • Ouyang, Y. & Daganzo, C. (2008). Robust tests for the bullwhip effect in supply chains with stochastic dynamics. European Journal of Operational Research , 185(1), 340-353.
  • Ouyang, Y. & Li, X. (2010). The bullwhip effect in supply chain networks. European Journal of Operational Research , 201, 799-810.
  • Ouyang, Y. (2007). The effect of information sharing on supply chain stability and the bullwhip effect. European Journal of Operational Research , 182, 1107-1121.
  • Paton, S., Clegg, B., Hsuan, J. & Pilkington, A. (2011). Operations Management. New York: McGraw-Hill.
  • Patterson, K. A., Grimm, C. & Corsi, P. (2003). Adopting new technologies for supply chain management. Transportation Research, 39(2), 95-121.
  • Paul, D. L. & McDaniel, R. (2004). A field study of the effect of interpersonal trust on virtual collaborative relationship performance. MIS Quarterly , 28(2), 183-227.
  • Rinehart, L. M., Eckert, J. A., Handfield, R. B., Page, Jr, T. J. & Atkin, T. (2004). An assessment of suppliercustomer relationships. Journal of Business Logistics , 25(1), 25-43.
  • Sekaran, U. & Bougie, R. (2009). Research Methods for Business: A Skill Building Approach . (5th Ed . ), New York: Wiley & Sons.
  • Sekaran, U. (2003). Research Methods for business: A Skill Building Approach . (4th Ed.), New York: John Wiley & Sons Inc.
  • Sheu, C., Yen, H. R. & Chae, B. (2006). Determinants of supplier-retailer collaboration: evidence from an international study. International Journal of Operations and Production Management , 26(1/2), 24.
  • Shih, S. C., Hsu, S. H. Y., Zhu, Z. & Balasubramanian, S. K. (2012). Knowledge sharing – A key role in the downstream supply chain. Information & Management , 49, 70-80.
  • Shimizu, K. & Hitt, M. A. (2004). Strategic flexibility: Organizational preparedness to reverse ineffective strategic decisions. Academy of Management Executive , 18, 44-60.
  • Simchi-Levi, D., Kaminsky, P. & Simchi-Levi, E. (2008). Designing and Managing in supply chain: Concepts, Strategies & Case Studies . (3rd Ed.), New York: McGraw-Hill/Irwin.
  • Spekman, R. E., Kamauff, J. W. & Myhr, N. (1998). An empirical investigation into supply chain management: a perspective on partnerships. Supply Chain Management , 3(2), 53-67.
  • Stevens, J. P. (2002). Applied multivariate Statistics for the Social Sciences . (4th Ed.), New York: LEA.
  • Stock, J. H. & Watson, M. W. (2008). Introduction to Econometrics . (2nd Ed.), Boston: Pearson Addison Wesley.
  • Tabachnick, B. G. & Fidell, L. S. (2007). Using Multivariate Statistics . (5th Ed.), Boston: Pearson International Edition.
  • Van der Vaart, T. & Van Donk, D. (2008). A critical review of survey-based research in supply chain integration. International Journal of Production Economics , 111, 42-55.
  • Van Weele, A. J. (2010). Purchasing and Supply Chain Management . (5th Ed.), UK: Cengage Learning.
  • Vijayasarathy, L. R. (2010). An investigation of moderators of the link between technology use in the supply chain and supply chain performance. Information and Management, (47), 364-371.
  • Wang, E. T. G. & Wei, H. L. (2007). Interorganizational Governance Value Creation: Coordinating
  • Welman, J. C., Kruger, S. J. & Mitchell, B. C. (2005). Research Methodology . (3rd Ed.), Cape Town: Oxford University Press Southern Africa.
  • Wisner, J. D. & Stanley, L. L. (2008). Process Management: Creating Value along the Supply Chain, Text and Cases. Australia: Thomson South-Western.
  • Wu, D. Y. & Katok, E. (2006). Learning, communication, and the bullwhip effect. Journal of Operations Management , 24, 839-850.
  • Wu, I. L. & Chuang, C. H. (2009). Analyzing contextual antecedents for the stage-based diffusion of electronic supply chain management. Electronic Commerce Research and Applications , 8(6), 302-314.
  • Yu, M., Ting, S. & Chen, M. (2010). Evaluating the cross-efficiency of information sharing in supply chains. Expert Systems with Applications , 37, 2891-2897.
  • Zhao, X., Xie, J. & Zhang, W. J. (2002). The impact of information sharing and order-coordination on supply chain performance. Supply Chain Management: An International Journal , 7(1), 24-40.

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Mbhele, T. P. (2014). Antecedents of Quality Information Sharing in the FMCG Industry. Journal of Economics and Behavioral Studies, 6(12), 986-1003. https://doi.org/10.22610/jebs.v6i12.555

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Vol. 6 No. 12 (2014) E-Commerce, Monetary Policy & Inclusive Development View issue contents

Published

2014-12-30

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