Skip to main content
SpringerLink
Log in

Collaborative recovery from supply chain disruptions

  • Chapter
  • First Online:
Supply Management Research

Part of the book series: Advanced Studies in Supply Management ((ASSM))

Zusammenfassung

Today’s supply chains are increasingly global and highly interconnected while aiming at the same time to lower inventory levels and shorten lead times. This combination leaves companies in supply chains more vulnerable to disruptions. The sharing of resources among supply chain actors is introduced as a method to recover quickly from disruptions. This research draws insights from relational view theory and adopts a multi-methodological approach. Case studies and expert interviews are used to develop a framework of promoting factors and effects of collaborative resource sharing in the context of supply chain risk management. The framework is tested empirically through a survey among 216 supply chain managers. We use a structural equation model to show that sharing both human and production resources increases the supply chain resilience. Trust and commitment are identified as main promoting factors. These empirical findings have implications for supply risk chain managers considering the implementation of joint risk management activities. The research also provides impulses for further empirical research in the fields of supply chain risk management and industrial relationships.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 34.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 44.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literatur

  • AFP (2011): Japan cars: Aftershocks to Japan Automakers “to Last Months”, in: Nikkei, 15 April 2011.

    Google Scholar 

  • Ambulkar, S.; Blackhurst, J.; Grawe, S. (2015): Firm’s resilience to supply chain disruptions: Scale development and empirical examination, in: Journal of Operations Management, 33, 111–122.

    Article  Google Scholar 

  • Anderson, J. C.; Gerbing, D. W. (1988): Structural equation modeling in practice: A review and recommended two-step approach, in: Psychological bulletin, 103(3), 411–423.

    Article  Google Scholar 

  • Armstrong, J. S.; Overton, T. S. (1977): Estimating nonresponse bias in mail surveys, in: Journal of Marketing Research, 14(3), 396–402.

    Article  Google Scholar 

  • Backhaus, K.; Erichson, B.; Weiber, R. (2011): Fortgeschrittene Multivariate Analysemethoden, Heidelberg: Springer-Verlag.

    Google Scholar 

  • Barney, J. (1991): Firm resources and sustained competitive advantage, in: Journal of Management, 17(1), 99–120.

    Article  Google Scholar 

  • Barringer, B. R.; Harrison, J. S. (2000): Walking a tightrope: creating value through interorganizational relationships, in: Journal of Management, 26(3), 367–403.

    Article  Google Scholar 

  • Bello, D.; Bovell, L. (2012): Collaboration analysis: Joint resolution of problems in global supply networks, in: Information Knowledge Systems Management, 11(1/2), 77–99.

    Google Scholar 

  • Blackhurst, J.; Dunn, K. S.; Craighead, C. W. (2011): An empirically derived framework of global supply resiliency, in: Journal of Business Logistics, 32(4), 374–391.

    Article  Google Scholar 

  • Blanding, M. (2012): Operations’ Intricate Science, Tuck, 29 November 2012. Available at: http://www.tuck.dartmouth.edu/news/articles/operations-intricate-science.

  • 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, in: Academy of Management Journal, 54(4), 833–856.

    Article  Google Scholar 

  • Bovell, L. J. (2012): Joint Resolution of Supply Chain Risks: The Role of Risk Characteristics and Problem Solving Approach. Unpublished, Georgia State University.

    Google Scholar 

  • Boyer, K. K.; Swink, M. L. (2008): Empirical elephants—why multiple methods are essential to quality research in operations and supply chain management, in: Journal of Operations Management, 26, 337–348.

    Article  Google Scholar 

  • Brandon-Jones, E.; Squire, B.; Autry, C.; Petersen, K. J. (2014): A Contingent Resource-Based Perspective of Supply Chain Resilience and Robustness, in: Journal of Supply Chain Management, 50, 55–73.

    Google Scholar 

  • Brüning, M.; Bendul, J. (2015): Self-Healing Supply Networks – Collaborative Recovery from Supply Network Disruptions by Sharing Network Resources, in: Association, I. P. a. S. E. a. R. (ed.): Proceedings of 24th IPSERA Conference, Amsterdam.

    Google Scholar 

  • Brüning, M.; Hartono, N. T.; Bendul, J. (2014): Collaborative Recovery from Supply Network Disruption: A Multiple Case Study. Proceedings of the 12th International Logistics and Supply Chain Congress, Istanbul.

    Google Scholar 

  • Byrne, B. M. (2010): Structural equation modeling with AMOS: Basic concepts, applications, and programming.

    Google Scholar 

  • Camarinha-Matos, L. M. (2014): Collaborative networks: A mechanism for enterprise agility and resilience, in: Mertins, K. et al. (ed.): Enterprise Interoperability VI –Interoperability for Agility, Resilience, and Plasticity of Collaborations: Springer International Publishing, 3–11.

    Google Scholar 

  • Cao, M.; Vonderembse, M. A.; Zhang, Q.; Ragu-Nathan, T. S. (2010): Supply chain collaboration: conceptualisation and instrument development, in: International Journal of Production Research, 48(22), 6613–6635.

    Article  Google Scholar 

  • Cao, M.; Zhang, Q. (2013): Supply Chain Collaboration, London: Springer Verlag.

    Google Scholar 

  • Cattell, R. B. (1966): The scree test for the number of factors, in: Multivariate Behavioral Research, 1, 245–276.

    Article  Google Scholar 

  • Christopher, M.; Peck, H. (2004): Building the Resilient Supply Chain. International Journal of Logistics Management, 15(2), 1–14.

    Article  Google Scholar 

  • Clark, D. (2012): Quake-Rocked Renesas Feels Renewed, More Relevant, in: The Wall Street Journal, 23 February 2012

    Google Scholar 

  • Corsten, D.; Felde, J. (2005): Exploring the performance effects of key-supplier collaboration: an empirical investigation into Swiss buyer-supplier relationships, in: International Journal of Physical Distribution & Logistics Management, 35(6), 445–461.

    Article  Google Scholar 

  • Courtland, R. (2011): How Japanese Chipmaker Renesas Recovered from the Earthquake, in: IEEE Spectrum, 23 August 2011.

    Google Scholar 

  • Craighead, C. W.; Blackhurst, J.; Rungtusanatham, M. J.; Handfield, R. B. (2007): The Severity of Supply Chain Disruptions: Design Characteristics and Mitigation Capabilities, in: Decision Sciences, 38(1), 131–156.

    Article  Google Scholar 

  • De Leeuw, S.; Fransoo, J. (2009): Drivers of close supply chain collaboration: one size fits all?, in: International Journal of Operations & Production Management, 29(7), 720–739.

    Article  Google Scholar 

  • Dillman, D. A.; Smyth, J. D.; Christian, L. M. (2014): Internet, Phone, Mail and Mixed-Mode Surveys: The Tailored Design Method, Hoboken, NJ: John Wiley.

    Google Scholar 

  • Doney, P. M.; Cannon, J. P. (1997): An examination of the nature of trust in buyer-seller relationships, in: Journal of Marketing, 61(2), 35–51.

    Article  Google Scholar 

  • Dwyer, F. R.; Schurr, P. H., & Oh, S. (1987): Developing buyer-seller relationships, in: The Journal of Marketing, 11(27).

    Google Scholar 

  • Dyer, J. H.; Singh, H. (1998): The relational view: Cooperative strategy and sources of interorganizational competitive advantage, in: Academy of Management Review, 23, 660–679.

    Article  Google Scholar 

  • Endo, K. (2011): Viewpoint: How Japan’s car industry almost shut down, British Broadcasting Corporation.

    Google Scholar 

  • Fawcett, S. E.; Ogden, J. A.; Magnan, G. M.; Bixby Cooper, M. (2006): Organizational commitment and governance for supply chain success, in: International Journal of Physical Distribution & Logistics Management, 36(1), 22–35.

    Article  Google Scholar 

  • Ferrer, M.; Santa, R.; Hyland, P. W.; Bretherton, P. (2010): Relational factors that explain supply chain relationships, in: Asia Pacific Journal of Marketing and Logistics, 22(3), 419–440.

    Article  Google Scholar 

  • Field, A. (2009): Discovering statistics using SPSS, Sage.

    Google Scholar 

  • Flick, U. (2006): An Introduction to Qualitative Research, London: Sage Publications.

    Google Scholar 

  • Ganesan, S. (1994): Determinants of long-term orientation in buyer-seller relationships, in: The Journal of Marketing, 58(2), 1–19.

    Article  Google Scholar 

  • Handfield, R. B.; Bechtel, C. (2002): The role of trust and relationship structure in improving supply chain responsiveness, in: Industrial Marketing Management, 31(4), 367–382.

    Article  Google Scholar 

  • Hu, L. T.; Bentler, P. M. (1998): Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification, in: Psychological methods, 3(4), 424–453.

    Article  Google Scholar 

  • Hudnurkar, M.; Jakhar, S.; Rathod, U. (2014): Factors affecting collaboration in supply chain: a literature review, in: Procedia-Social and Behavioral Sciences, 133, 189–202.

    Article  Google Scholar 

  • Jöreskog, K. G. (1969): A general approach to confirmatory maximum likelihood factor analysis, in: Psychometrika, 34(2 Part 1), 183–202.

    Article  Google Scholar 

  • Jüttner, U.; Maklan, S. (2011): Supply chain resilience in the global financial crisis: an empirical study, in: Supply Chain Management: An International Journal, 16(4), 246–259.

    Article  Google Scholar 

  • Kaiser, H. F. (1960): The application of electronic computers to factor analysis, in: Educational and Psychological Measurement, 20, 141–151.

    Article  Google Scholar 

  • Kubicek, H. (1976): Heuristische Bezugsrahmen und heuristisch angelegte Forschungsdesigns als Elemente einer Konstruktionsstrategie empirischer Forschung, in: Köhler, R. (ed.): Empirische und handlungstheoretische Forschungskonzeptionen in der Betriebswirtschaftslehre, Stuttgart: J. B. Metzlersche Verlagsbuchhandlung und Carl Ernst Poeschel Verlag GmbH.

    Google Scholar 

  • Kumar, N.; Scheer, L. K.; Steenkamp, J.-B. E. M. (1995): The effects of perceived interdependence on dealer attitudes, in: Journal of Marketing Research, 32(August), 348–358.

    Article  Google Scholar 

  • Kwon, I. W. G.; Suh, T. (2005): Trust, commitment and relationships in supply chain management: a path analysis, in: Supply Chain Management: An International Journal, 10(1), 26–33.

    Article  Google Scholar 

  • Lavie, D. (2006): The competitive advantage of interconnected firms: An extension of the resource-based view, in: Academy of Management Review, 31(3), 638–658.

    Article  Google Scholar 

  • Li, G.; Fan, H.; Lee, P. K.; Cheng, T. C. E. (2015): Joint supply chain risk management: An agency and collaboration perspective, in: International Journal of Production Economics, 164, 83–94.

    Article  Google Scholar 

  • Marchese, K.; Paramasivam, S. (2013): Deloitte: The Ripple Effect: How manufacturing and retail executives view the growing challenge of supply chain risk.

    Google Scholar 

  • McEvily, B.; Perrone, V.; Zaheer, A. (2003): Trust as an organizing principle, in: Organization Science, 14(1), 91–103.

    Article  Google Scholar 

  • Mentzer, J. T.; Min, S.; Zacharia, Z. G. (2000): The nature of interfirm partnering in supply chain management, in: Journal of Retailing, 76(4), 549–568.

    Article  Google Scholar 

  • Min, S.; Roath, A. S.; Daugherty, P. J.; Genchev, S. E.; Chen, H.; Arndt, A. D.; Glenn, R. G. (2005): Supply chain collaboration: what’s happening?, in: The International Journal of Logistics Management, 16(2), 237–258.

    Article  Google Scholar 

  • Mishra, D.; Sharma, R. R. K.; Kumar, S.; Dubey, R. (2016): Bridging and buffering: Strategies for mitigating supply risk and improving supply chain performance, in: International Journal of Production Economics, 180, 183–197.

    Article  Google Scholar 

  • Mohr, J.; Spekman, R. (1994): Characteristics of partnership success: partnership attributes, communication behavior, and conflict resolution techniques, in: Strategic Management Journal, 15(2), 135–152.

    Article  Google Scholar 

  • Monczka, R. M.; Petersen, K. J.; Handfield, R. B.; Ragatz, G. L. (1998): Success Factors in Strategic Supplier Alliances: The Buying Company Perspective, in: Decision Sciences, 29(3), 553–577.

    Article  Google Scholar 

  • Morgan, R. M.; Hunt, S. D. (1994): The commitment-trust theory of relationship marketing, in: The Journal of Marketing, 20–38.

    Article  Google Scholar 

  • Natarajarathinam, M.; Capar, I.; Narayanan, A. (2009): Managing supply chains in times of crisis: a review of literature and insights, in: International Journal of Physical Distribution & Logistics Management, 39(7), 535.

    Article  Google Scholar 

  • Nishiguchi, T.; Beaudet, A. (1998): The Toyota Group and the Aisin Fire, in: MIT Sloan Management Review, 40(1), 49–59.

    Google Scholar 

  • Nunnally, J. C. (1978): Psychometric Theory, New York: McGraw-Hill.

    Google Scholar 

  • Nyaga, G. N.; Whipple, J. M.; Lynch, D. F. (2010): Examining supply chain relationships: do buyer and supplier perspectives on collaborative relationships differ?, in: Journal of Operations Management, 28(2), 101–114.

    Article  Google Scholar 

  • Park, K. (2011): Flexible and Redundant Supply Chain Practices to Build Strategic Supply Chain Resilience: Contingent and Resource-based Perspectives. Unpublished Doctoral dissertation, University of Toledo.

    Google Scholar 

  • Park, N. K.; Mezias, J. M.; Song, J. (2004): A resource-based view of strategic alliances and firm value in the electronic marketplace, in: Journal of Management, 30(1), 7–27.

    Article  Google Scholar 

  • Pfeffer, J.; Salancik, G. R. (1978): The external control of organizations: A resource dependence perspective, New York: Harper & Row.

    Google Scholar 

  • Podsakoff, P. M.; MacKenzie, S. B.; Lee, J.-Y.; Podsakoff, N. P. (2003): Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies, in: Journal of Applied Psychology, 88(5), 879–903.

    Article  Google Scholar 

  • Pollack, A.; Lohr, S. (2011): Renesas in Japan Scrambles to Make a Critical Car Chip. NYTimes.com.

    Google Scholar 

  • Ponomarov, S. (2012): Antecedents and consequences of supply chain resilience: a dynamic capabilities perspective. Unpublished Doctoral Dissertation, University of Tennessee.

    Google Scholar 

  • Ramanathan, U.; Gunasekaran, A. (2014): Supply chain collaboration: Impact of success in long-term partnerships, in: International Journal of Production Economics, 147(Part B), 252–259.

    Article  Google Scholar 

  • Renesas (2011): CSR and Environmental Report: Renesas Electronics Corporation.

    Google Scholar 

  • Rice, J. B.; Caniato, F. (2003): Building a secure and resilient supply network, in: Supply Chain Management Review, 7(5), 22–30.

    Google Scholar 

  • Rousseau, D. M.; Sitkin, S. B.; Burt, R. S.; Camerer, C. (1998): Not so different after all: A cross-discipline view of trust, in: Academy of Management Review, 23(3), 393–404.

    Article  Google Scholar 

  • Ryu, I.; So, S.; Koo, C. (2009): The role of partnership in supply chain performance, in: Industrial Management & Data Systems, 109(4), 496–514.

    Article  Google Scholar 

  • Scholten, K.; Schilder, S. (2015): The role of collaboration in supply chain resilience, in: Supply Chain Management: An International Journal, 20(4), 471–484.

    Article  Google Scholar 

  • Segars, A. H.; Grover, V. (1993): Re-examining perceived ease of use and usefulness: A confirmatory factor analysis, in: MIS Quarterly, 17(4), 517–525.

    Article  Google Scholar 

  • Shah, R.; Goldstein, S. M. (2006): Use of structural equation modeling in operations management research: looking back and forward, in: Journal of Operations Management, 24(2), 148–169.

    Article  Google Scholar 

  • Sheffi, Y. (2005): The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage, Cambridge, Massachusetts: MIT Press.

    Google Scholar 

  • Sheu, C.; Yen, H.; Chae, D. (2006): Determinants of supplier-retailer collaboration: evidence from an international study, in: International Journal of Operations and Production Management, 26(1), 24–49.

    Article  Google Scholar 

  • Simchi-Levi, D.; Schmidt, W.; Wei, Y. (2014): From Superstorms to Factory Fires, in: Harvard Business Review, 92(1/2), 97–101.

    Google Scholar 

  • Sodhi, M.; Son, B.-G.; Tang, C. S. (2012): Researchers’ perspectives on supply chain risk management, in: Production and Operations Management, 21(1).

    Article  Google Scholar 

  • Stock, J. R.; Boyer, S. L.; Harmon, T. (2010): Research opportunities in supply chain management, in: Journal of the Academy of Marketing Science, 38, 32–41.

    Article  Google Scholar 

  • Swafford, P. M.; Ghosh, S.; Murthy, N. (2006): The antecedents of supply chain agility of a firm: scale development and model testing, in: Journal of Operations Management, 24(2), 170–188.

    Article  Google Scholar 

  • Thun, J. H.; Hoenig, D. (2011): An empirical analysis of supply chain risk management in the German automotive industry, in: International Journal of Production Economics, 131(1), 242–249.

    Article  Google Scholar 

  • Tukamuhabwa, B. R.; Stevenson, M.; Busby, J.; Zorzini, M. (2015): Supply chain resilience: definition, review and theoretical foundations for further study, in: International Journal of Production Research.

    Google Scholar 

  • Vijayasarathy, L. R. (2010): Supply integration: an investigation of its multidimensionality and relational antecedents, in: International Journal of Production Economics, 124(2), 489–505.

    Article  Google Scholar 

  • Wagner, S. M.; Bode, C. (2006): An empirical investigation into supply chain vulnerability, in: Journal of purchasing and supply management, 12(6), 301–312.

    Article  Google Scholar 

  • Wagner, S. M.; Kemmerling, R. (2010): Handling nonresponse in logistics research, in: Journal of Business Logistics, 31(2), 357–381.

    Article  Google Scholar 

  • Whitney, D. E.; Luo, J.; Heller, D. A. (2014): The benefits and constraints of temporary sourcing diversification in supply chain disruption and recovery, in: Journal of purchasing and supply management, 20(4), 238–250.

    Article  Google Scholar 

  • Wieland, A.; Wallenburg, C. M. (2012): Dealing with supply chain risks: linking risk management practices and strategies to performance, in: International Journal of Physical Distribution & Logistics Management, 42(10), 887–905.

    Article  Google Scholar 

  • Wieland, A.; Wallenburg, C. M. (2013): The influence of relational competencies on supply chain resilience: a relational view, in: International Journal of Physical Distribution & Logistics Management, 43(4), 300–320.

    Article  Google Scholar 

  • Wilson, E. J.; Vlosky, R. P. (1997): Partnering relationship activities: building theory from case study research, in: Journal of Business Research, 39(1), 59–70.

    Article  Google Scholar 

  • Wu, L.; Chuang, C. H.; Hsu, C. H. (2014): Information sharing and collaborative behaviors in enabling supply chain performance: A social exchange perspective, in: International Journal of Production Economics, 148 (122–132).

    Article  Google Scholar 

  • Zhang, M.; Huo, B. (2013): The impact of dependence and trust on supply chain integration, in: International Journal of Physical Distribution & Logistics Management, 43(7), 544–563.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Jacobs University Bremen, Bremen, Deutschland

    Marie Katharina Brüning

Authors
  1. Marie Katharina Brüning
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Universität Mannheim, Mannheim, Germany

    Christoph Bode

  2. Universität Würzburg, Würzburg, Germany

    Ronald Bogaschewsky

  3. Universität der Bundeswehr München, Neubiberg, Germany

    Michael Eßig

  4. Technische Universität Dresden , Dresden, Germany

    Rainer Lasch

  5. Universität St. Gallen, St. Gallen, Switzerland

    Wolfgang Stölzle

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Brüning, M.K. (2019). Collaborative recovery from supply chain disruptions. In: Bode, C., Bogaschewsky, R., Eßig, M., Lasch, R., Stölzle, W. (eds) Supply Management Research. Advanced Studies in Supply Management. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-23818-6_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-23818-6_3

  • Published:

  • Publisher Name: Springer Gabler, Wiesbaden

  • Print ISBN: 978-3-658-23817-9

  • Online ISBN: 978-3-658-23818-6

  • eBook Packages: Business and Economics (German Language)

Publish with us

Policies and ethics

Search

Navigation