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Supply chain technology: the role of environment in predicting performance

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Abstract

The research examines the moderating effect of environmental unpredictability on the relationships of two supply chain information technologies (IT) on operational and financial performance. The results show that the greater the environmental unpredictability, the weaker the effect of B2B e-commerce that integrates the firm with supply chain members on operational and financial performance. In contrast, the greater the environmental unpredictability, the stronger the effect of supply chain analytic IT that fosters operational and strategic decision-making on operational and financial performance.

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References

  • Barua, A., Kriebel, C. H., & Mukhopadhyay, T. (1995). Information technologies and business value: An analytic and empirical investigation. Information Systems Research, 6(1), 3–23.

    Article  Google Scholar 

  • Bharadwaj, A. S. (2000). A resource-based perspective on information technology capability and firm performance: An Empirical Investigation. MIS Quarterly, 24(1), 169–196.

    Article  Google Scholar 

  • Bowersox, D. J., & Daugherty, P. J. (1995). Logistics paradigms: The impact of information technology. Journal of Business Logistics, 16(1), 65–80.

    Google Scholar 

  • Bowersox, D. J., & Closs, D. J. (1996). Logistical management: The integrated supply chain process. New York, NY: McGraw Hill.

    Google Scholar 

  • Brah, S. A., & Hua, Y. L. (2006). The effects of technology and TQM on the performance of logistics companies. International Journal of Physical Distribution & Logistics Management, 36(3), 192–209.

    Article  Google Scholar 

  • Brynjolfsson, E., & Hitt, L. M. (1996). Paradox Lost? Firm-level evidence on the returns to information systems spending. Management Science, 42(4), 541–558.

    Article  Google Scholar 

  • Brynjolfsson, E., & Hitt, L. M. (1998). Beyond the productivity paradox. Communications of the ACM, 41(8), 49–55.

    Article  Google Scholar 

  • Brynjolfsson, E., Hitt, L. M. & Yang, S. (2002). Intangible assets: How the interaction of computers and organizational structure affects stock market valuations. Brookings Papers on Economic Activity: Macroeconomics, (1), 137–199.

  • Byrd, T. A., Lewis, B. R., & Bryan, R. W. (2006). The leveraging influence of strategic alignment on it investment: An empirical examination. Information & Management, 43(3), 308–321.

    Article  Google Scholar 

  • Cannon, J. P., & Perreault Jr., W. D. (1999). Buyer-seller relationships in business markets. Journal of Marketing Research, 36(2), 439–460.

    Article  Google Scholar 

  • Celly, K. S., & Frazier, G. L. (1996). Outcome-based and behavior-based coordination efforts in channel relationships. Journal of Marketing Research, 33(2), 200–212.

    Article  Google Scholar 

  • Chan, Y. E., Sabherwal, R., & Bennett, T. J. (2006). Antecedents and outcomes of strategic is alignment: An empirical investigation. IEEE Transactions on Engineering Management, 53(1), 27–47.

    Article  Google Scholar 

  • Chandler Jr., A. (1962). Strategy and structure. Cambridge, MA: MIT Press.

    Google Scholar 

  • Chen, H., Frank, M. Z., & Wu, O. Q. (2005). What actually happened to the inventories of American companies between 1981 and 2000? Management Science, 51(7), 1015–31.

    Article  Google Scholar 

  • Chopra, S., & Meindl, P. (2001). Supply chain management: Strategy, planning and operations. New Jersey, NJ: Prentice Hall Inc.

    Google Scholar 

  • Closs, D. J. (1989). Inventory management: A comparison of a traditional vs. systems view. Journal of Business Logistics, 10(2), 90–105.

    Google Scholar 

  • Closs, D. J., Goldsby, T. J., & Clinton, S. R. (1997). Information technology influences on world class logistics capability. International Journal of Physical Distribution and Logistics Management, 27(1), 4–17.

    Article  Google Scholar 

  • Cooper, M. C., Lambert, D. M., & Pagh, J. D. (1997). Supply chain management: More than a new name for logistics. The International Journal of Logistics Management, 8(1), 1–14.

    Article  Google Scholar 

  • Corsten, D., & Kumar, N. (2005). Do suppliers benefit from collaborative relationships with large retailers? An empirical investigation of efficient consumer response adoption. Journal of Marketing, 69(3), 80–94.

    Article  Google Scholar 

  • Daugherty, P. J., Myers, M. B., & Autry, C. W. (1999). Automatic replenishment programs: An empirical examination. Journal of Business Logistics, 20(2), 63–82.

    Google Scholar 

  • Devaraj, S., & Kohli, R. (2000). Information technology payoff in the healthcare industry: A longitudinal study. Journal of Management Information Systems, 16(4), 41–67.

    Google Scholar 

  • Dröge, C., & Germain, R. (2000). The relationship of electronic data interchange with inventory and financial performance. Journal of Business Logistics, 21(2), 209–230.

    Google Scholar 

  • Dwyer, F. R., Schurr, P. H., & Oh, S. (1987). Developing buyer-seller relationships. Journal of Marketing, 51(2), 11–27.

    Article  Google Scholar 

  • Erevelles, S., & Stevenson, T. H. (2006). Enhancing the business-to-business supply chain: Insights from partitioning the supply-side. Industrial Marketing Management, 35(4), 481–492.

    Article  Google Scholar 

  • Fawcett, S. E., & Clinton, S. R. (1997). Enhancing logistics performance to improve the competitiveness of manufacturing organizations. Transportation Journal, 37(1), 18–28.

    Google Scholar 

  • Fisher, M. L. (1997). What is the right supply chain for your product? Harvard Business Review, 75(2), 105–116.

    Google Scholar 

  • Francalanci, C., & Galal, H. (1998). Information technology and worker compensation: Determinants of productivity in the life insurance industry. MIS Quarterly, 22(2), 227–241.

    Article  Google Scholar 

  • Friedman, D. (2006). WMS pros and cons. Electrical Wholesaling, 87(9), 46–47.

    Google Scholar 

  • Frohlich, M. T., & Westbrook, R. (2001). Arcs of integration: An international study of supply chain strategies. Journal of Operations Management, 19(2), 185–200.

    Article  Google Scholar 

  • Gattiker, T. F. (2007). Enterprise resource planning (ERP) systems and the manufacturing-marketing interface: An information-processing theory view. International Journal of Production Research, 45(13), 2895–2917.

    Article  Google Scholar 

  • Grover, V., Teng, J., Segars, A. H., & Fiedler, K. (1998). The influence of information technology diffusion and business process change on perceived productivity: The IS executive’s perspective. Information & Management, 34(3), 141–159.

    Article  Google Scholar 

  • Hofer, C. W. (1975). Toward a contingency theory of business strategy. Academy of Management Journal, 18(4), 784–810.

    Article  Google Scholar 

  • Hull, B. Z. (1998). The role of elasticity in supply chain performance. International Journal of Production Economics, 98(3), 301–314.

    Article  Google Scholar 

  • Hull, B. Z. (2005). Are supply (driven) chains forgotten? International Journal of Logistics Management, 16(2), 218–236.

    Article  Google Scholar 

  • Jaworski, B. J., & Kohli, A. K. (1993). Market orientation: Antecedents and consequences. Journal of Marketing, 57(3), 53–70.

    Article  Google Scholar 

  • Jayachandran, S., Sharma, S., Kaufman, P., & Raman, P. (2005). The role of relational information processes and technology use in customer relationship management. Journal of Marketing, 69(4), 177–192.

    Article  Google Scholar 

  • Jüttner, U., Godsell, J., & Christopher, M. G. (2006). Demand chain alignment competence — delivering value through product life cycle management. Industrial Marketing Management, 35(8), 989–1001.

    Article  Google Scholar 

  • Kampstra, R. P., Ashayeri, J., & Gattorna, J. L. (2006). Realities of supply chain collaboration. International Journal of Logistics Management, 17(3), 312–330.

    Article  Google Scholar 

  • Kendall, K. (1997). The significance of information systems research on emerging technologies: Seven information technologies that promise to improve managerial effectiveness. Decision Sciences, 28(4), 775–792.

    Article  Google Scholar 

  • Kim, D., Cavusgil, S. T., & Calantone, R. J. (2006). Information system innovations and supply chain management: Channel relationships and firm performance. Journal of the Academy of Marketing Science, 34(1), 40–54.

    Article  Google Scholar 

  • LaLonde, B. J., & Powers, R. F. (1993). Disintegration and re-integration: Logistics of the twenty- first century. International Journal of Logistics Management, 4(2), 1–12.

    Article  Google Scholar 

  • Lee, S., & Kim, S. H. (2006). A lag effect of it investment on firm performance. Information Resources Management Journal, 19(1), 43–69.

    Google Scholar 

  • Lee, H. L., So, K., & Tang, C. (2000). The value of information sharing in a two-level supply chain. Management Science, 46(5), 626–643.

    Article  Google Scholar 

  • McFarlan, F. W. (1984). Information technology changes the way you compete. Harvard Business Review, 62(3), 98–103.

    Google Scholar 

  • Miller, D. (1988). Relating porter’s business strategies to environment and structure: Analysis and performance implications. Academy of Management Journal, 31(2), 280–308.

    Article  Google Scholar 

  • Miller, D. (1991). Stale in the Saddle. Management Science, 37(1), 34–52.

    Article  Google Scholar 

  • Miller, D., & Dröge, C. (1986). Psychological and traditional determinants of structure. Administrative Science Quarterly, 31(4), 539–561.

    Article  Google Scholar 

  • Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 19–38.

    Article  Google Scholar 

  • Norman, D. (2004). Supply chain analytics can drive financial performance. Frontline Solutions, 5(1), 25–25.

    Google Scholar 

  • Payne, T., & Peters, M. J. (2004). What is the right supply chain for your products? International Journal of Logistics Management, 15(2), 77–92.

    Article  Google Scholar 

  • Pierce, J. L., & Delbecq, A. L. (1977). Organizational structure, individual attitudes, and innovation. Academy of Management Journal, 2(1), 27–37.

    Article  Google Scholar 

  • Pinsonneault, A., & Rivard, S. (1998). Information technology and the nature of managerial work: From the productivity paradox to the Icarus paradox? MIS Quarterly, 22(3), 287–311.

    Article  Google Scholar 

  • Podsakoff, P. M., MacKenzie, S. B., Lee, J., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.

    Article  Google Scholar 

  • Powell, T. C., & Dent-Micallef, A. (1997). Information technology as competitive advantage: The role of human, business, and technology resources. Strategic Management Journal, 18(5), 375– 405.

    Article  Google Scholar 

  • Premkumar, G., Ramamurthy, K., & Saunders, C. S. (2005). Information processing view of organizations: An exploratory examination of fit in the context of interorganizational relationships. Journal of Management Information Systems, 22(1), 257–294.

    Google Scholar 

  • Rai, A., Patnayakuni, R., & Seth, N. (2006). Firm performance impacts of digitally enabled supply chain integration capabilities. MIS Quarterly, 30(2), 225–246.

    Google Scholar 

  • Ross, A. (2002). A multi-dimensional empirical exploration of technology investment, coordination and firm performance. International Journal of Physical Distribution & Logistics Management, 32(7), 591–610.

    Article  Google Scholar 

  • Saeed, K. A., Malhotra, M. K., & Grover, V. (2005). Examining the impact of interorganizational systems on process efficiency and sourcing leverage in buyer–supplier dyads. Decision Sciences, 36(3), 365–396.

    Article  Google Scholar 

  • Saini, A., & Johnson, J. L. (2005). Organizational capabilities in e-commerce: An empirical investigation of e-brokerage service providers. Journal of the Academy of Marketing Science, 33(3), 360–375.

    Article  Google Scholar 

  • Salerno, L. M. (1985). What happened to the computer revolution? Harvard Business Review, 63(6), 129–138.

    Google Scholar 

  • Sanders, N. R., & Premus, R. (2002). IT applications in supply chain organizations: A link between competitive priorities and organizational benefits. Journal of Business Logistics, 23(1), 65–83.

    Google Scholar 

  • Sanders, N. R., & Premus, R. (2005). Modeling the relationship between firm IT capability, collaboration, and performance. Journal of Business Logistics, 26(1), 1–23.

    Google Scholar 

  • Sengupta, K., Heiser, D. R., & Cook, L. S. (2006). Manufacturing and service supply chain performance: A comparative analysis. Journal of Supply Chain Management: A Global Review of Purchasing & Supply, 42(4), 5–16.

    Google Scholar 

  • Shin, N. (2006). The impact of information technology on the financial performance of diversified firms. Decision Support Systems, 41, 698–707.

    Article  Google Scholar 

  • Simchi-Levi, D., Kaminsky, P., & Simchi-Levi, E. (2003). Designing & managing the supply chain (2nd ed.). New York, NY: McGraw-Hill Irwin.

    Google Scholar 

  • Slater, S. F., & Narver, J. C. (1994). Does competitive environment moderate the market orientation — performance relationship? Journal of Marketing, 58(1), 46–56.

    Article  Google Scholar 

  • Stank, T. P., & Lackey, C. W. (1997). Enhancing performance through logistical capabilities in Mexican maquiladora firms. Journal of Business Logistics, 18(1), 91–123.

    Google Scholar 

  • Tanriverdi, H. (2006). Performance effects of information technology synergies in multi-business firms. MIS Quarterly, 30(1), 57–77.

    Google Scholar 

  • Thirumalai, S., & Sinha, K. K. (2005). Customer satisfaction with order fulfillment in retail supply chains: Implications of product type in electronic B2C transactions. Journal of Operations Management, 23(3/4), 291–303.

    Article  Google Scholar 

  • Varadarajan, P. R., & Yadav, M. S. (2002). Marketing strategy and the internet: An organizing framework. Journal of the Academy of Marketing Science, 30(4), 296–312.

    Article  Google Scholar 

  • Venkatraman, N. (1989). The concept of fit in strategy research: Toward verbal and statistical correspondence. Academy of Management Review, 14(1), 423–245.

    Article  Google Scholar 

  • Zhang, M. J. (2005). Information systems, strategic flexibility and firm performance: An empirical investigation. Journal of Engineering & Technology Management, 22(3), 163–184.

    Article  Google Scholar 

  • Zhu, K. (2004). The complementarity of information technology infrastructure and e-commerce capability: A resource-based assessment of their business value. Journal of Management Information Systems, 21(1), 167–202.

    Google Scholar 

  • Zhu, K., Kraemer, K. L., Xu, S., & Dedrick, J. (2004). Information technology payoff in e-business environments: An international perspective on value creation of e-business in the financial services industry. Journal of Management Information Systems, 21(1), 17–54.

    Google Scholar 

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Authors and Affiliations

  1. Department of Marketing, College of Business, University of Louisville, Louisville, KY, USA

    Beth Davis-Sramek

  2. University of Louisville, Louisville, KY, USA

    Richard Germain

  3. University of Northern Iowa, Cedar Falls, Iowa, USA

    Karthik Iyer

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  1. Beth Davis-Sramek
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  2. Richard Germain
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  3. Karthik Iyer
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Correspondence to Beth Davis-Sramek.

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Davis-Sramek, B., Germain, R. & Iyer, K. Supply chain technology: the role of environment in predicting performance. J. of the Acad. Mark. Sci. 38, 42–55 (2010). https://doi.org/10.1007/s11747-009-0137-1

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