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Cited by 41Quality and Supply ManagementInnovation and Knowledge ManagementSustainable Supply Chain Management

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Anticipation of new technologies: supply chain antecedents and competitive performance

Beheregarai Finger, Andrew, B. Flynn, Barbara, Laureanos Paiva, Ely·2014·International Journal of Operations & Production Management
DOI 10.1108/ijopm-09-2012-0386
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Abstract

Purpose – The purpose of this paper is to propose and empirically validates a measure of the anticipation of new technologies (ANT) construct, first suggested by Hayes and Wheelwright (1984). ANT allows establishment of a sustained competitive advantage through acquiring new technologies and the capability to use them, in advance of actual need. The theoretical foundation for ANT is developed using the literature on absorptive capacity. Several elements of supply chain management are proposed as antecedents to ANT. Design/methodology/approach – Perceptual survey data from 317 manufacturing plants in ten countries was used to test the hypotheses using structural equation modeling and confirmatory factor analysis. Findings – The key supply chain antecedents of ANT are supply chain planning, internal integration and supplier integration. ANT was related to both operational and cost performance. Research limitations/implications – Potential limitations include the use of an existing database, the plant as the unit of analysis and the need to include customer integration, as well as supplier integration. The results demonstrate the competitive importance of the ANT construct and the key role that relationships with suppliers play in its development. Practical implications – This research sheds new light on a construct whose roots are inherently practical. Suppliers and their extended networks are an important source of external knowledge about technology and future customer needs,…

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  1. Azadegan, A. (2011), “Benefitting from supplier operational innovativeness: the influence of supplier evaluations and absorptive capacity”, Journal of Supply Chain Management, Vol. 47 No. 2, pp. 49-64. · DOI
  2. Bagozzi, R.P. and Yi, Y. (1988), “On the evaluation of structural equation models”, Academy of Marketing Science, Vol. 16 No. 1, pp. 74-94. · DOI · Paper page
  3. Barney, J.B. (2001), “Resource-based theories of competitive advantage: a ten-year retrospective on the resource-based view”, Journal of Management, Vol. 27 No. 6, pp. 643-650. · DOI · Paper page
  4. Bernardes, E.S. (2010), “The effect of supply management on aspects of social capital and the impact on performance: a social network perspective”, Journal of Supply Chain Management, Vol. 46 No. 1, pp. 45-56. · DOI
  5. Bowersox, D.J. , Stank, T.P. and Daugherty, P.J. (1999), “Lean launch: managing product introduction risk through response-based logistics”, Journal of Product Innovation Management, Vol. 16 No. 6, pp. 557-568. · DOI
  6. Brettel, M. , Greene, G.I. and Flattten, T.C. (2011), “Giving up linearity: absorptive capacity and performance”, Journal of Managerial Issues, Vol. 23 No. 2, pp. 164-189.
  7. Cagliano, R. and Spina, G. (2000), “Advanced manufacturing technologies and strategically flexible production”, Journal of Operations Management, Vol. 18 No. 2, pp. 169-190. · DOI
  8. Chen, I.J. and Paulraj, A. (2004), “Towards a theory of supply chain management: the constructs and measurements”, Journal of Operations Management, Vol. 22 No. 5, pp. 119-150. · DOI
  9. Chung, W. and Swink, M. (2009), “Patterns of advanced manufacturing technology utilization and manufacturing capabilities”, Production and Operations Management., Vol. 18 No. 5, pp. 533-545. · DOI
  10. Cohen, W.M. and Levinthal, D.A. (1990), “Absorptive capacity: a new perspective on learning and innovation”, Administrative Science Quarterly, Vol. 35 No. 1, pp. 128-152. · DOI · Paper page
  11. Cordero, R. , Walsh, S.T. and Kirchoff, B.A. (2009), “Organization technologies, AMT and competent workers: exploring relationships with manufacturing performance”, Journal of Manufacturing Technology Management, Vol. 20 No. 3, pp. 298-313. · DOI
  12. Das, A. and Narasimham, R. (2001), “Process-technology fit and its implications for manufacturing performance”, Journal of Operations Management, Vol. 19 No. 5, pp. 521-540. · DOI
  13. Elbashir, M.Z. , Collier, P.A. and Sutton, S.G. (2011), “The role of organizational absorptive capacity in strategic management control systems”, The Accounting Review, Vol. 86 No. 1, pp. 155-184. · DOI
  14. Fawcett, S.E. and Magnan, G.M. (2002), “The rhetoric and reality of supply chain integration”, International Journal of Physical Distribution and Logistics Management, Vol. 32 No. 5, pp. 339-361. · DOI
  15. Flynn, B.B. , Huo, B. and Zhao, X. (2010), “The impact of supply chain integration on performance: a contingency and configuration approach”, Journal of Operations Management, Vol. 28 No. 1, pp. 58-71. · DOI · Paper page
  16. Fornell, C. and Larcker, D.F. (1981), “Evaluating structural equation models with unobservable variables and measurement error”, Journal of Marketing Research, Vol. 18 No. 1, pp. 39-50. · DOI · Paper page
  17. Frohlich, M.T. and Westbrook, R. (2001), “Arcs of integration: an international study of supply chain strategies”, Journal of Operations Management, Vol. 19 No. 2, pp. 185-200. · DOI
  18. Hayes, R. and Wheelwright, S.C. (1984), Restoring Our Competitive Edge: Competing Through Manufacturing, John Wiley, New York, NY.
  19. Hayes, R. , Wheelwright, S.C. and Clark, K. (1988), Dynamic Manufacturing: Creating the Learning Organization, Free Press, New York, NY.
  20. Jabar, J. , Soosay, C. and Santa, R. (2011), “Organizational learning as an antecedent of technology transfer and new product development: a study of manufacturing organizations in Malaysia”, Journal of Manufacturing Technology Management, Vol. 22 No. 1, pp. 25-45. · DOI
  21. Jansen, J.J.P. , Van Den Bosch, F.A.J. and Volberda, H.W. (2005), “Managing potential and realized absorptive capacity: how do organizational antecedents matter?”, Academy of Management Journal, Vol. 48 No. 5, pp. 199-1015. · DOI
  22. Kahn, K.B. and Mentzer, M.T. (1998), “Marketing's integration with other departments”, Journal of Business Research, Vol. 42 No. 1, pp. 53-62. · DOI
  23. Kotha, S. and Swamidass, P.M. (2000), “Strategy advanced manufacturing technologies and performance: empirical evidence from US manufacturing firms”, Journal of Operations Management, Vol. 18 No. 3, pp. 257-277. · DOI
  24. Koufteros, X. (1999), “Testing a model of pull production: a paradigm for manufacturing research using structural equation modeling”, Journal of Operations Management, Vol. 17 No. 4, pp. 467-488. · DOI
  25. Liao, J. , Welsch, H. and Stoica, M. (2003), “Organizational absorptive capacity and responsiveness: an empirical investigation of growth-oriented SMEs”, Entrepreneurship Theory and Practice, Vol. 28 No. 1, pp. 63-85. · DOI
  26. Maier, F.H. and Schroeder, R.G. (2001), “Competitive product and process technology”, in Schroeder, R.G. and Flynn, B.B. (Eds), High Performance Manufacturing: Global Perspectives, John Wiley & Sons, New York, NY.
  27. Mu, J. , Love, E. and Peng, G. (2008), “Interfirm networks, social capital and knowledge flow”, Journal of Knowledge Management, Vol. 12 No. 4, pp. 86-100. · DOI
  28. Naylor, J.B. , Naim, M.M. and Berry, D. (1999), “Leagility: integrating the lean and agile manufacturing paradigms in the total supply chain”, International Journal of Production Economics, Vol. 62 Nos 1/2, pp. 107-118. · DOI
  29. Porter, M.E. (1985), Competitive Advantage: Creating and Sustaining Superior Performance, Free Press, New York, NY.
  30. Robinson, S. and Sutbberud, H.A. (2011), “Social networks and entrepreneurial growth”, International Journal of Management and Information Systems, Vol. 15 No. 4, pp. 65-70. · DOI
  31. Skinner, W. (1969), “Manufacturing – missing link in corporate strategy”, Harvard Business Review, May/June, pp. 1-10.
  32. Tsai, W. and Ghoshal, S. (1998), “Social capital and value creation: the role of intrafirm networks”, Academy of Management Journal, Vol. 41 No. 4, pp. 464-476. · DOI
  33. Uzzi, B. (1996), “The sources and consequences of embeddedness for the economic performance of organizations: the network effect”, American Sociological Review, Vol. 61 No. 4, pp. 674-698. · DOI · Paper page
  34. Wernerfelt, B. (1984), “A resource-based view of the firm: summary”, Strategic Management Journal, Vol. 5 No. 2, pp. 171-180. · DOI · Paper page
  35. Zahra, S. and George, G. (2002), “Absorptive capacity: a review, reconceptualization, and extension”, Academy of Management Review, Vol. 27 No. 2, pp. 185-203. · DOI · Paper page
  36. Autrey, C.Q. and Griffis, S.E. (2008), “Supply chain capital: the impact of structural and relational linkages on firm execution and innovation”, Journal of Business Logistics, Vol. 29 No. 1, pp. 157-173. · DOI
  37. Boyer, K.B. , Swink, M. and Rosenzweing, E.D. (2005), “Operations strategy research in the POMS journal”, Production and Operations Management, Vol. 14 No. 4, pp. 442-449. · DOI
  38. Granovetter, M. (1983), “The strength of weak ties: a network theory revisited”, Sociological Theory, Vol. 1 No. 1, pp. 201-233. · DOI · Paper page
  39. Ho, R. (2006), Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS, Chapman & Hall/CRC, Boca Raton, FL. · DOI
  40. Lambert, D.M. and Cooper, M.C. (2000), “Issues in supply chain management”, Industrial Marketing Management, Vol. 29 No. 1, pp. 65-83. · DOI
  41. Paiva, E.L. , Roth, A.V. and Fensterseifer, J.E. (2008), “Organizational knowledge and the manufacturing strategy process: a resource-based view analysis”, Journal of Operations Management, Vol. 26 No. 1, pp. 115-132. · DOI
  42. Sabath, R. and Whipple, J.M. (2004), “Using the customer/product action matrix to enhance internal collaboration”, Journal of Business Logistics, Vol. 25 No. 3, pp. 1-19. · DOI
  43. Voss, C.A. (1995), “Alternative paradigms for manufacturing strategy”, International Journal of Operations & Production Management, Vol. 15 No. 4, pp. 5-16. · DOI
  44. Voss, C.A. (2005), “Paradigms of manufacturing strategy re-visited”, International Journal of Operations & Production Management, Vol. 25 No. 12, pp. 1223-1227. · DOI

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Metadata

Authors
Beheregarai Finger, A., B. Flynn, B., & Laureanos Paiva, E.
Venue
International Journal of Operations & Production Management
Publisher
Emerald
Published
2014-05-27
Volume
34
Issue
6
Pages
807-828
ISSN
0144-3577 (ISSN-L)
DOI
10.1108/ijopm-09-2012-0386
OpenAlex
W2092897983
Cited by
41
References
3
Citations by year
2026: 1 · 2025: 3 · 2024: 5 · 2023: 2 · 2022: 5 · 2021: 5 · 2020: 4 · 2019: 3 · 2018: 5 · 2017: 6 · 2016: 2
FWCI
5.92
Type
journal article
Language
en
Open access
closed
Licence
www.emerald.com/insight/site-policies (tdm)
Locations
International Journal of Operations & Production Management (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
Keywords
supply chain management, absorptive capacity, competitive advantage, supply chain planning, internal integration, supplier integration, operational performance, cost performance, factories, supplier relationships

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