An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective

Production and Operations Management

Volumn 27, Issue 10, 2018, Pages 1849-1867

  Srinivasan, Ravi ^a   Swink, Morgan ^b  

^a LOYOLA UNIVERSITY MARYLAND   (United States)

^b TEXAS CHRISTIAN UNIVERSITY   (United States)

Author keywords

Analytics capability; Market volatility; Organizational flexibility; Supply chain visibility

Indexed keywords

EID: 85026783047     PISSN: 10591478     EISSN: 19375956     Source Type: Journal    
DOI: 10.1111/poms.12746     Document Type: Article

References (73)

1. Agarwal, R., V. Dhar. 2014. Editorial—Big data, data science, and analytics: The opportunity and challenge for is research. Inf. Syst. Res. 25(3): 443–448.
2. Anand, G., P. Ward. 2004. Fit, flexibility and performance in manufacturing: Coping with dynamic environments. Prod. Oper. Manag. 13(4): 369–385.
3. Angalakudati, M., S. Balwani, J. Calzada, B. Chatterjee, G. Perakis, N. Raad, J. Uichanco. 2014. Business analytics for flexible resource allocation under random emergencies. Management Sci. 60(6): 1552–1573.
4. Armstrong, J. S., T. S. Overton. 1977. Estimating nonresponse bias in mail surveys. J. Mark. Res. 14(3): 396–402.
5. Barratt, M., R. Barratt. 2011. Exploring internal and external supply chain linkages: Evidence from the field. J. Oper. Manag. 29(5): 514–528.
6. Barratt, M., A. Oke. 2007. Antecedents of supply chain visibility in retail supply chains: A resource-based theory perspective. J. Oper. Manag. 25(6): 1217–1233.
7. Bensaou, M., N. Venkatraman. 1995. Configurations of interorganizational relationships: A comparison between U.S. and Japanese automakers. Management Sci. 41(9): 1471–1492.
8. Bolstorff, P., R. G. Rosenbaum. 2007. Supply Chain Excellence: A Handbook for Dramatic Improvement Using the SCOR Model. AMACOM-American Management Association, New York, NY.
9. Bowersox, D. J., D. J. Closs, T. P. Stank. 1999. 21st Century Logistics: Making Supply Chain Integration a Reality. Council of Logistics Management, Oak Brook, IL.
10. Braunscheidel, M. J., N. C. Suresh. 2009. The organizational antecedents of a firm's supply chain agility for risk mitigation and response. J. Oper. Manag. 27(2): 119–140.
11. Caridi, M., L. Crippa, A. Perego, A. Sianesi, A. Tumino. 2010. Do virtuality and complexity affect supply chain visibility? Int. J. Prod. Econ. 127(2): 372–383.
12. Croson, R., K. Donohue. 2003. Impact of POS data sharing on supply chain management: An experimental study. Prod. Oper. Manag. 12(1): 1–11.
13. Davenport, T. H. 2006. Competing on analytics. Harv. Bus. Rev. 84(1): 98–107.
14. Davenport, T. H., J. G. Harris. 2007. Competing on Analytics: The New Science of Winning. Harvard Business School Press, Boston, MA.
15. Davis, C. K. 2014. Viewpoint: Beyond data and analysis. Commun. ACM 57(6): 39–41.
16. Devaraj, S., L. Krajewski, J. C. Wei. 2007. Impact of eBusiness technologies on operational performance: The role of production information integration in the supply chain. J. Oper. Manag. 25(6): 1199–1216.
17. Dillman, D. A., J. D. Smyth, L. M. Christian. 2008. Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method. Wiley & Sons, Hoboken, NJ.
18. Domingos, P. 2015. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Basic Books, New York, NY.
19. Fildes, R., R. Hastings. 1994. The organization and improvement of market forecasting. J. Oper. Res. Soc. 45(1): 1–16.
20. Fisher, D., R. DeLine, M. Czerwinski, S. Drucker. 2012. Interactions with big data analytics. Interactions 19(3): 50–59.
21. Flynn, B. B., X. Koufteros, G. Lu. 2016. On theory in supply chain uncertainty and its implications for supply chain integration. J. Supply Chain Manag. 52(3): 3–27.
22. Fornell, C., D. F. Larcker. 1981. Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18(1): 39–50.
23. Galbraith, J. R. 1973. Designing Complex Organizations. Addison-Wesley Pub. Co., Reading, MA.
24. Galbraith, J. R. 1974. Organization design: An information processing view. Interfaces (Providence) 4(3): 28–36.
25. Galbraith, J. R. 1977. Organization Design. Addison-Wesley Pub. Co., Reading, MA.
26. Galbraith, J. R. 2014. Organization design challenges resulting from big data. J. Organ. Des. 3(1): 2–13.
27. Gallino, S., A. Moreno. 2014. Integration of online and offline channels in retail: The impact of sharing reliable inventory availability information. Management Sci. 60(6): 1434–1451.
28. George, G., M. R. Haas, A. Pentland. 2014. Big data and management. Acad. Manag. J. 57(2): 321–326.
29. Gerwin, D. 1993. Manufacturing flexibility: A strategic perspective. Management Sci. 39(4): 395–410.
30. Hendricks, K. B., M. Hora, V. R. Singhal. 2014. An empirical investigation on the appointments of supply chain and operations management executives. Management Sci. 61(7): 1562–1583.
31. Hicks, D. A., K. E. Stecke. 1995. The ERP maze: Enterprise resource planning and other production and inventory control software. IIE Solut. 27(8): 12–16.
32. Hsinchun, C., R. H. L. Chiang, V. C. Storey. 2012. Business intelligence and analytics: From big data to big impact. MIS Q. 36(4): 1165–1188.
33. Hu, L., P. M. Bentler. 1999. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct. Equ. Model. A Multidiscip. J. 6(1): 1–55.
34. Kim, Y., Z. Lee, S. Gosain. 2005. Impediments to successful ERP implementation process. Bus. Process Manag. J. 11(2): 158–170.
35. Kim, D., S. T. Cavusgil, R. J. Calantone. 2006. Information system innovations and supply chain management: Channel relationships and firm performance. J. Acad. Mark. Sci. 34(1): 40–54.
36. Kiron, D., R. Shockley. 2011. Creating business value with analytics. MIT Sloan Manag. Rev. 53(1): 57–63.
37. Kiron, D., P. K. Prentice, R. B. Ferguson. 2014. The analytics mandate. MIT Sloan Manag. Rev. 55(4): 1.
38. Koufteros, X., M. Vonderembse, J. Jayaram. 2005. Internal and external integration for product development: The contingency effects of uncertainty, equivocality, and platform strategy. Decis. Sci. 36(1): 97–133.
39. Kyu Kim, K., S. Yul Ryoo, M. Dug Jung. 2011. Inter-organizational information systems visibility in buyer–supplier relationships: The case of telecommunication equipment component manufacturing industry. Omega 39(6): 667–676.
40. Laney, D. 2001. 3-D Data Management: Controlling Data Volume, Velocity and Variety. Stamford, CT.
41. Lavalle, S., E. Lesser, R. Shockley, M. S. Hopkins, N. Kruschwitz. 2011. Big data, analytics and the path from insights to value. MIT Sloan Manag. Rev. 52(2): 21–32.
42. Lindell, M. K., D. J. Whitney. 2001. Accounting for common method variance in cross-sectional research designs. J. Appl. Psychol. 86(1): 114–121.
43. Malhotra, N. K., S. S. Kim, A. Patil. 2006. Common method variance in is research: A comparison of alternative approaches and a reanalysis of past research. Management Sci. 52(12): 1865–1883.
44. McAfee, A., E. Brynjolfsson. 2012. Big data: The management revolution. Harv. Bus. Rev. 90(10): 60–68.
45. Miller, D., P. Friesen. 1982. Innovation in conservative and entrepreneurial firms: Two models of strategic momentum. Strateg. Manag. J. 3(1): 1–25.
46. Nichols, W. 2013. Advertising analytics 2.0. Harv. Bus. Rev. 91(3): 60–68.
47. Pagell, M., D. R. Krause. 1999. A multiple-method study of environmental uncertainty and manufacturing flexibility. J. Oper. Manag. 17(3): 307–325.
48. Papert, M., P. Rimpler, A. Pflaum. 2016. Enhancing supply chain visibility in a pharmaceutical supply chain: Solutions based on automatic identification technology. Int. J. Phys. Distrib. Logist. Manag. 46(9): 859–884.
49. Peng, D. X., G. R. Heim, D. N. Mallick. 2014. Collaborative product development: The effect of project complexity on the use of information technology tools and new product development practices. Prod. Oper. Manag. 23(8): 1421–1438.
50. Podsakoff, P. M., D. W. Organ. 1986. Self-reports in organizational research: Problems and prospects. J. Manage. 12(4): 531–544.
51. Preacher, K. J., D. D. Rucker, A. F. Hayes. 2007. Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behav. Res. 42(1): 185–227.
52. Roh, J., J. M. Whipple, V. Turkulainen. 2013. Building flexibility in supply chain organizations: Capabilities for managing structural change. Explores - Council of Supply Chain Management Professionals Research Report Series.
53. Sawhney, R. 2006. Interplay between uncertainty and flexibility across the value-chain: Towards a transformation model of manufacturing flexibility. J. Oper. Manag. 24(5): 476–493.
54. Schilling, M. A., H. K. Steensma. 2001. The use of modular organizational forms: An industry-level analysis. Acad. Manag. J. 44(6): 1149–1168.
55. Schoenherr, T., M. Swink. 2012. Revisiting the arcs of integration: Cross-validations and extensions. J. Oper. Manag. 30(1–2): 99–115.
56. Semich, J. W. 1994. Information replaces inventory at the virtual corp. Datamation 40(14): 37–40.
57. Sethi, A., S. Sethi. 1990. Flexibility in manufacturing: A survey. Int. J. Flex. Manuf. Syst. 2(4): 289–328.
58. Siemsen, E., A. Roth, P. Oliveira. 2010. Common method bias in regression models with linear, quadratic, and interaction effects. Organ. Res. Methods 13(3): 456–476.
59. Sinha, V., R. Wegener. 2013. The value of big data: How analytics differentiates winners. Bain Co.pp. 1–8.
60. Souza, G. C. 2014. Supply chain analytics. Bus. Horiz. 57(5): 595–605.
61. Srinivasan, R., M. Swink. 2015. Leveraging supply chain integration through planning comprehensiveness: An organizational information processing theory perspective. Decis. Sci. 46(5): 823–861.
62. Stock, G. N., N. P. Greis, J. D. Kasarda. 2000. Enterprise logistics and supply chain structure: the role of fit. J. Oper. Manag. 18(5): 531–547.
63. Stonebraker, P. W., J. Liao. 2006. Supply chain integration: Exploring product and environmental contingencies. Supply Chain Manag. An Int. J. 11(1): 34–43.
64. Swamidass, P. M., W. T. Newell. 1987. Manufacturing strategy, environmental uncertainty and performance: A path analytic model. Management Sci. 33(4): 509–524.
65. Tan, T. F., S. Netessine. 2014. When does the devil make work? An empirical study of the impact of workload on worker productivity. Management Sci. 60(6): 1574–1593.
66. Tatikonda, M. V., M. M. Montoya-Weiss. 2001. Integrating operations and marketing perspectives of product innovation: The influence of organizational process factors and capabilities on development performance. Management Sci. 47(1): 151–172.
67. Upton, D. 1994. The management of manufacturing flexibility. Calif. Manage. Rev. 36(2): 72–89.
68. Swink, M., T. Schoenherr. 2015. The effects of cross-functional integration on profitability, process efficiency, and asset productivity. J. Bus. Logist. 36(1): 69–87.
69. Wagner, S. M., R. Kemmerling. 2014. Supply chain management executives in corporate upper echelons. J. Purch. Supply Manag. 20(3): 156–166.
70. Wang, E. T. G., H.-L. Wei. 2007. Interorganizational governance value creation: Coordinating for information visibility and flexibility in supply chains. Decis. Sci. 38(4): 647–674.
71. Williams, B. D., J. Roh, T. Tokar, M. Swink. 2013. Leveraging supply chain visibility for responsiveness: The moderating role of internal integration. J. Oper. Manag. 31(7–8): 543–554.
72. Wong, C. Y., S. Boon-itt, C. W. Y. Wong. 2011. The contingency effects of environmental uncertainty on the relationship between supply chain integration and operational performance. J. Oper. Manag. 29(6): 604–615.
73. Zhou, H., W. C. Benton Jr. 2007. Supply chain practice and information sharing. J. Oper. Manag. 25(6): 1348–1365.