A Contingent Resource-Based Perspective of Supply Chain Resilience and Robustness

Journal of Supply Chain Management

Volumn 50, Issue 3, 2014, Pages 55-73

  Brandon Jones, Emma ^a   Squire, Brian ^b   Autry, Chad W ^c   Petersen, Kenneth J ^c  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b UNIVERSITY OF BATH   (United Kingdom)

^c UNIVERSITY OF TENNESSEE   (United States)

Author keywords

Buyer supplier relationships; Factor analysis; Regression analysis; Resource based view; Risk management; Supply chain resilience; Supply chain robustness; Supply management; Survey methods

Indexed keywords

EID: 84902988539     PISSN: 15232409     EISSN: 1745493X     Source Type: Journal    
DOI: 10.1111/jscm.12050     Document Type: Article

References (100)

1. Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Sage Publications Inc, Newbury Park, CA.
2. Altay, N., & Ramirez, A. (2010). Impact of disasters on firms in different sectors: Implications for supply chains. Journal of Supply Chain Management, 46 (4), 59-80.
3. Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103 (3), 411-423.
4. Aragón-Correa, J. A., & Sharma, S. (2003). A contingent resource-based view of proactive corporate environmental strategy. Academy of Management Review, 28 (1), 71-88.
5. Armstrong, S. J., & Overton, T. S. (1977). Estimating non-response bias in mail surveys. Journal of Marketing Research, 14 (3), 396-402.
6. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17 (1), 99-120.
7. Barney, J. (2012). Purchasing, supply chain management and sustained competitive advantage: The relevance of resource-based theory. Journal of Supply Chain Management, 48 (2), 3-6.
8. Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51 (6), 1173-1182.
9. Barratt, M., & Oke, A. (2007). Antecedents of supply chain visibility in retail supply chains: A resource-based theory perspective. Journal of Operations Management, 25 (6), 1217-1233.
10. Bhamra, R., Dani, S., & Burnard, K. (2011). Resilience: The concept, a literature review and future directions. International Journal of Production Research, 49 (18), 5375-5393.
11. Blackhurst, J., Craighead, C. W., Elkins, D., & Handfield, R. B. (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. International Journal of Production Research, 43 (19), 4067-4081.
12. Blackhurst, J., Dunn, K. S., & Craighead, C. W. (2011). An empirically derived framework of global supply resiliency. Journal of Business Logistics, 32, 374-391.
13. Bode, C., Wagner, S. M., Petersen, K. J., & Ellram, L. M. (2011). Understanding responses to supply chain disruptions: Insights from information processing and resource dependence perspectives. Academy of Management Journal, 54 (4), 833-856.
14. Bozarth, C. C., Warsing, D. P., Flynn, B. B., & Flynn, E. J. (2009). The impact of supply chain complexity on manufacturing plant performance. Journal of Operations Management, 27 (1), 78-93.
15. Braunscheidel, M. J., & Suresh, N. C. (2009). The organizational antecedents of a firm's supply chain agility for risk mitigation and response. Journal of Operations Management, 27, 119-140.
16. Brush, T., & Artz, K. W. (1999). Toward a contingent resource-based theory: The impact of information asymmetry on the value of capabilities in veterinary medicine. Strategic Management Journal, 20, 223-250.
17. Bunkley, N. (2011). Japan's automakers expect more delays. The New York Times.
18. Cao, M., & Zhang, Q. (2011). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of Operations Management, 29 (3), 163-180.
19. Caridi, M., Crippa, L., Perego, A., Sianesi, A., & Tumino, A. (2010). Do virtuality and complexity affect supply chain visibility? International Journal of Production Economics, 127, 372-383.
20. Choi, T. Y., & Krause, D. R. (2006). The supply base and its complexity: Implications for transaction costs, risks, responsiveness, and innovation. Journal of Operations Management, 24, 637-652.
21. Chopra, S., & Sodhi, M. S. (2004). Managing risk to avoid supply-chain breakdown. MIT Sloan Management Review, 46 (1), 53-61.
22. Christopher, M. (2000). The agile supply chain-competing in volatile markets. Industrial Marketing Management, 29 (1), 37-44.
23. Christopher, M., & Lee, H. L. (2004). Mitigating supply chain risk through improved confidence. International Journal of Physical Distribution & Logistics Management, 34 (5), 388-396.
24. Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The International Journal of Logistics Management, 15 (2), 1-14.
25. Churchill, G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16 (1), 64-73.
26. Cohen, J., & Cohen, P. (1983). Applied multiple regression/correlation analyses for the behavioral sciences. Lawrence Erlbaum Associates, Hillsdale, NJ.
27. Craighead, C. W., Blackhurst, J., Rungtusanatham, M. J., & Handfield, R. B. (2007). The severity of supply chain disruptions: Design characteristics and mitigation capabilities. Decision Sciences Journal, 38 (1), 131-156.
28. Dillman, D. A. (2000). Mail and internet surveys: The tailored design method. John Wiley, Chichester, NY.
29. Donaldson, L. (2001). The Contingency Theory of Organizations. Sage Publications, Thousand Oaks, CA.
30. Edmondson, A. C., & Mcmanus, S. E. (2007). Methodological fit in management field research. Academy of Management Review, 32 (4), 1246-1264.
31. 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.
32. Fawcett, S. E., Wallin, C., Allred, C., Fawcett, A. M., & Magnan, G. M. (2011). Information technology as an enabler of supply chain collaboration: A dynamic-capabilities perspective. Journal of Supply Chain Management, 47 (1), 38-59.
33. Fawcett, S. E., Wallin, C., Allred, C., & Magnan, G. M. (2009). Supply chain information-sharing: Benchmarking a proven path. Benchmarking: An International Journal, 16, 222-246.
34. Ferdows, K., Lewis, M. A., & Machuca, J. A. D. (2004). Rapid-fire fulfillment. Harvard Business Review, 82 (1), 104-110.
35. Francis, V. (2008). Supply chain visibility: Lost in translation? Supply Chain Management: An International Journal, 13 (3), 180-184.
36. Frank, C., Drezner, Z., Ryan, J. K., & Simchi-Levi, D. (2000). Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information. Management Science, 46 (3), 436.
37. Fujimoto, T. (2011). Supply chain competitiveness and robustness: A lesson from the 2011 Tohoku Earthquake and supply chain "virtual dualization." Tokyo, MMRC Discussion Paper Series.
38. Grant, R. M. (1991). The resource-based theory of competitive advantage: Implications for strategy formulation. California Management Review, 33 (3), 114-135.
39. Gray, J. V., Roth, A. V., & Leiblein, M. J. (2011). Quality risk in offshore manufacturing: Evidence from the pharmaceutical industry. Journal of Operations Management, 29 (7-8), 737-752.
40. Gröβler, A., & Grübner, A. (2006). An empirical model of the relationships between manufacturing capabilities. International Journal of Operations & Production Management, 26, 458-485.
41. Grötsch, V. M., Blome, C., & Schleper, M. C. (2013). Antecedents of proactive supply chain risk management-A contingency theory perspective. International Journal of Production Research, 51 (10), 2842-2867.
42. Guha-Sapir, D., Vos, F., Below, R., & Ponserre, S. (2012). Annual disaster statistical review: The numbers and trends. Centre for Research on the Epidemiology of Disasters (CRED), Brussels, Belgium.
43. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis. Prentice-Hall, Englewood Cliffs, NJ.
44. Hendricks, K. B., & Singhal, V. R. (2005a). Association between supply chain glitches and operating performance. Management Science, 51 (5), 695-711.
45. Hendricks, K. B., & Singhal, V. R. (2005b). An empirical analysis of the effect of supply chain disruptions on long-run stock price performance and equity risk of the firm. Production and Operations Management, 14 (1), 35-52.
46. Hitt, M. A. (2011). Relevance of strategic management theory and research for supply chain management. Journal of Supply Chain Management, 47 (1), 9-13.
47. Hitt, M., Bierman, L., Shimizu, K., & Kochhar, R. (2001). Direct and moderating effects of human capital on strategy and performance in professional service firms: A resource-based perspective. Academy of Management Journal, 44 (1), 13-28.
48. Holweg, M., Reichhart, A., & Hong, E. (2011). On risk and cost in global sourcing. International Journal of Production Economics, 131 (1), 333-341.
49. Hoopes, D. G., Madsen, T. L., & Walker, G. (2003). Guest editors' introduction to the special issue: Why is there a resource-based view? Toward a theory of competitive heterogeneity. Strategic Management Journal, 24 (10), 889-902.
50. Jones, C. (2013). Businesses unaware of supply chain risk. Financial Times.
51. Jüttner, U., & Maklan, S. (2011). Supply chain resilience in the global financial crisis: An empirical study. Supply Chain Management: An International Journal, 16 (4), 246-259.
52. Kitano, H. (2004). Biological robustness. Nature Reviews Genetics, 5 (11), 826-837.
53. Kleindorfer, P. R., & Saad, G. H. (2005). Managing disruption risks in supply chains. Production & Operations Management, 14 (1), 53-68.
54. Kraaijenbrink, J., Spender, J. C., & Groen, A. J. (2010). The resource-based view: A review and assessment of its critiques. Journal of Management, 36 (1), 349-372.
55. Lam, W., Huang, X., & Snape, E. (2007). Feedback seeking behavior and leader-member exchange: Do supervisor-attributed motives matter? Academy of Management Journal, 50 (2), 348-363.
56. Lambert, D. M., & Harrington, T. C. (1990). Measuring nonresponse bias in customer service mail surveys. Journal of Business Logistics, 11 (2), 5-25.
57. Lee, H. L. (2010). Taming the bullwhip. Journal of Supply Chain Management, 46 (1), 7.
58. Lee, H. L., So, K. C., & Tang, C. S. (2000). The value of information sharing in a two-level supply chain. Management Science, 46 (5), 626-643.
59. Ling-yee, L. (2007). Marketing resources and performance of exhibitor firms in trade shows: A contingent resource perspective. Industrial Marketing Management, 36 (3), 360-370.
60. Lu, Y., Zhou, L., Bruton, G., & Li, W. (2010). Capabilities as a mediator linking resources and the international performance of entrepreneurial firms in an emerging economy. Journal of International Business Studies, 41, 419-436.
61. Mabert, V. A., & Venkataramanan, M. A. (1998). Special research focus on supply chain linkages: Challenges for design and management in the 21st century. Decision Sciences, 29 (3), 537-552.
62. Malhotra, M. K., & Grover, V. (1998). An assessment of survey research in pom: From constructs to theory. Journal of Operations Management, 16, 407-425.
63. Malhotra, N. K., Kim, S. S., & Patil, A. (2006). Common method variance in is research: A comparison of alternative approaches and a reanalysis of past research. Management Science, 52 (12), 1865-1883.
64. Manuj, I., & Mentzer, J. T. (2008). Global supply chain risk management strategies. International Journal of Physical Distribution & Logistics Management, 38 (3), 192-223.
65. Naor, M., Linderman, K., & Schroeder, R. (2010). The globalization of operations in eastern and western countries: Unpacking the relationship between national and organizational culture and its impact on manufacturing performance. Journal of Operations Management, 28, 194-205.
66. Natarajarathinam, M., Capar, I., & Narayanan, A. (2009). Managing supply chains in times of crisis: A review of literature and insights. International Journal of Logistics Management, 19 (7), 535-573.
67. Newbert, S. L. (2007). Empirical research on the resource-based view of the firm: An assessment and suggestions for future research. Strategic Management Journal, 28, 121-146.
68. Paape, L., & Speklé, R. F. (2012). The adoption and design of enterprise risk management practices: An empirical study. European Accounting Review, 21 (3), 533-564.
69. Pettit, T. J., Fiksel, J., & Croxton, K. L. (2010). Ensuring supply chain resilience: Development of a conceptual framework. Journal of Business Logistics, 31 (1), 1-21.
70. Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. Journal of Management, 12 (4), 531-544.
71. Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. International Journal of Logistics Management, 20 (1), 124-143.
72. Premkumar, G., & King, W. R. (1994). Organizational characteristics and information systems planning: An empirical study. Information Systems Research, 5 (2), 75-119.
73. Priem, R. L., & Swink, M. (2012). A demand-side perspective on supply chain management. Journal of Supply Chain Management, 48 (2), 7-13.
74. Rao, S., & Goldsby, T. J. (2009). Supply chain risks: A review and typology. International Journal of Logistics Management, 20 (1), 97-123.
75. Ravichandran, T., & Lertwongsatien, C. (2005). Effect of information systems resources and capabilities on firm performance: A resource-based perspective. Journal of Management Information Systems, 21 (4), 237-276.
76. Rumelt, R. P. (1984). Theory, strategy and entrepreneurship. In R. Lamb (Ed.), Competitive strategic management. Prentice-Hall, Englewood Cliffs, NJ.
77. Shannon, D. M., & Bradshaw, C. C. (2002). A comparison of response rate, response time, and costs of mail and electronic surveys. The Journal of Experimental Education, 70, 179-192.
78. Sheffi, Y. (2005). The resilient enterprise. The MIT Press, Cambridge, MA.
79. Simangunsong, E., Hendry, L. C., & Stevenson, M. (2012). Supply-chain uncertainty: A review and theoretical foundation for future research. International Journal of Production Research, 50 (16), 4493-4523.
80. Sirmon, D. G., Gove, S., & Hitt, M. A. (2008). Resource management in dyadic competitive rivalry: The effects of resource bundling and deployment. Academy of Management Journal, 51 (5), 919-935.
81. Sirmon, D. G., & Hitt, M. A. (2009). Contingencies within dynamic managerial capabilities: Interdependent effects of resource investment and deployment on firm performance. Strategic Management Journal, 30 (13), 1375-1394.
82. Sirmon, D. G., Hitt, M. A., & Ireland, R. D. (2007). Managing firm resources in dynamic environments to create value: Looking inside the black box. Academy of Management Review, 32 (1), 273-292.
83. Sirmon, D. G., Hitt, M. A., Ireland, R. D., & Gilbert, B. A. (2011). Resource orchestration to create competitive advantage: Breadth, depth, and life cycle effects. Journal of Management, 37 (5), 1390-1412.
84. Sodhi, M. S., Son, B.-G., & Tang, C. S. (2012). Researchers' perspectives on supply chain risk management. Production and Operations Management, 21 (1), 1-13.
85. Sousa, R., & Voss, C. A. (2008). Contingency research in operations management practices. Journal of Operations Management, 26 (6), 697-713.
86. Stock, G. N., Greis, N. P., & Kasarda, J. D. (2000). Enterprise logistics and supply chain structure: The role of fit. Journal of Operations Management, 18, 531-547.
87. Stonebraker, P. W., Goldhar, J., & Nassos, G. (2009). Weak links in the supply chain: Measuring fragility and sustainability. Journal of Manufacturing Technology Management, 20, 161-177.
88. Stringfellow, A., Teagarden, M. B., & Nie, W. (2008). Invisible costs in offshoring services work. Journal of Operations Management, 26, 164-179.
89. Tang, C. S. (2006a). Perspectives in supply chain risk management. International Journal of Production Economics, 103 (2), 451-488.
90. Tang, C. S. (2006b). Robust strategies for mitigating supply chain disruptions. International Journal of Logistics Research and Applications, 9 (1), 33-45.
91. Vachon, S., & Klassen, R. D. (2002). An exploratory investigation of the effects of supply chain complexity on delivery performance. IEEE Transactions on Engineering Management, 49, 218-230.
92. Vlajic, J. V., van Lokven, S. W. M., Haijema, R., & van der Vorst, J. G. A. J. (2012). Using vulnerability performance indicators to attain food supply chain robustness. Production Planning & Control, 24 (8-9), 785-799.
93. Wagner, S. M., & Neshat, N. (2011). A comparison of supply chain vulnerability indices for different categories of firms. International Journal of Production Research, 50 (11), 2877-2891.
94. Wei, H. L., & Wang, E. T. G. (2010). The strategic value of supply chain visibility: Increasing the ability to reconfigure. European Journal of Information Systems, 19, 238-249.
95. Wieland, A., & Wallenburg, C. M. (2013). The influence of relational competencies on supply chain resilience: A relational view. International Journal of Logistics Management, 23, 300-320.
96. Wu, F., Yeniyurt, S., Kim, D., & Cavusgil, S. T. (2006). The impact of information technology on supply chain capabilities and firm performance: A resource-based view. Industrial Marketing Management, 35 (4), 493-504.
97. Zhao, X., Lynch, J. G., Jr, & Chen, Q. (2010). Reconsidering baron and kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37 (2), 197-206.
98. Zhou, H., & Benton, W. C., Jr (2007). Supply chain practice and information sharing. Journal of Operations Management, 25 (6), 1348-1365.
99. Zhu, K., & Kraemer, K. L. (2002). E-commerce metrics for net-enhanced organisations: Assessing the value of e-commerce to firm performance in the manufacturing sector. Information Systems Research, 13, 275-295.
100. Zsidisin, G. A. (2003). Managerial perceptions of supply risk. Journal of Supply Chain Management, 39 (1), 14.