Skip to main content

The paradigm shift of supply chain management: risks, technological innovation and social impact

  • Chapter
  • First Online:
Supply Management Research

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

  • 4373 Accesses

Abstract

Technological change, as well as global disruptions such as pandemics, natural disasters, or trade wars, are causing increasing challenges to companies, policymakers, and society and impact the flow and management of goods in todayʹs global value networks. This dissertation investigates these challenges and risks due to the disruptive change through Industry 4.0, its management as well as economic, environmental, and social implications on supply chain management. The examination of supply chain risk management and the impact of the adoption of the Internet of Things, its influence on transparency, risk strategies and competitive advantage provides further value‐added. The application of systematic literature reviews, theory‐based case study research, and machine learning supported bibliometric and network analyses create a holistic review of existing literature, the identification of core aspects and research gaps. Furthermore, the results support decision‐makers in coping with uncertainties and enable the development of strategic and operational as well as technical and social capabilities to ensure superior performance.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 49.99
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.

References

  • Allianz Global Corporate & Specialty SE (2020): Allianz Risk Barometer – Identifying the major business risks for 2020.

    Google Scholar 

  • Ben‐Daya, M.; Hassini, E.; Bahroun, Z. (2019): Internet of things and supply chain management: a literature review. In: International Journal of Production Research, 57 (15–16), pp. 4719–4742.

    Google Scholar 

  • Birkel, H.; Kopyto, M.; Lutz, C. (2020): Challenges of Applying Predictive Analytics in Transport Logistics. In: Proceedings of the 2020 on Computers and People Research Conference (SIGMIS‐CPR ’20: 2020 Computers and People Research Conference), 2020, Nuremberg Germany.

    Google Scholar 

  • Birkel, H.; Veile, J.; Müller, J.; Hartmann, E.; Voigt, K.‐I. (2019): Development of a Risk Framework for Industry 4.0 in the Context of Sustainability for Established Manufacturers. In: Sustainability, 11 (2), p. 384.

    Google Scholar 

  • Birkel, H. S.; Hartmann, E. (2019): Impact of IoT challenges and risks for SCM. In: Supply Chain Management: An International Journal, 24 (1), pp. 39–61.

    Google Scholar 

  • Birkel, H. S.; Hartmann, E. (2020): Internet of Things – the future of managing supply chain risks. In: Supply Chain Management: An International Journal, 25 (5), pp. 535–548.

    Google Scholar 

  • Blei, D. M.; Ng, A. Y.; Jordan, M. I. (2003): Latent Dirichlet Allocation. In: Journal of Machine Learning Research, 3, pp. 993–1022.

    Google Scholar 

  • Bower, J. L.; Christensen, C. (1995): Disruptive technologies: catching the wave. In: Harvard business review, 73 (1), pp. 43–53.

    Google Scholar 

  • Chopra, S.; Sodhi, M. S. (2004): Managing Risk to Avoid Supply‐chain Breakdown. In: MIT Sloan Management Review, 46 (1), pp. 53–62.

    Google Scholar 

  • Chowdhury, M. M. H.; Quaddus, M. (2016): Supply chain readiness, response and recovery for resilience. In: Supply Chain Management: An International Journal, 21 (6), pp. 709–731.

    Google Scholar 

  • Christensen, C. (1997): Patterns in the evolution of product competition. In: European Management Journal, 15 (2), pp. 117–127.

    Google Scholar 

  • Christopher, M. (2016): Logistics & supply chain management. London: Financial Times/Pearson Education.

    Google Scholar 

  • Christopher, M.; Lee, H. (2004): Mitigating supply chain risk through improved confidence. In: International Journal of Physical Distribution & Logistics Management, 34 (5), pp. 388–396.

    Google Scholar 

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

    Google Scholar 

  • Colicchia, C.; Strozzi, F. (2012): Supply chain risk management: a new methodology for a systematic literature review. In: Supply Chain Management: An International Journal, 17 (4), pp. 403–418.

    Google Scholar 

  • Corbin, J. M.; Strauss, A. (1990): Grounded theory research: Procedures, canons, and evaluative criteria. In: Qualitative Sociology, 13 (1), pp. 3–21.

    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), pp. 131–156.

    Google Scholar 

  • Dada, A.; Thiesse, F. (2008): Sensor Applications in the Supply Chain: The Example of Quality‐Based Issuing of Perishables. In: Floerkemeier, C.; Langheinrich, M.;

    Google Scholar 

  • Fleisch, E.; Mattern, F.; Sarma, S. E. (Eds.): The Internet of things. First international conference, IOT 2008, Zurich, Switzerland, March 26‐28, 2008; proceedings. Berlin: Springer, pp. 140–154.

    Google Scholar 

  • Denyer, D.; Tranfield, D. (2009): Producing a systematic review. In: Buchanan D. A.; Bryman, A. (Eds.): The Sage handbook of organizational research methods. Thousand Oaks, CA: SAGE, pp. 671–689.

    Google Scholar 

  • Dutton, W. H. (2014): Putting things to work: social and policy challenges for the Internet of things. In: info, 16 (3), pp. 1–21.

    Google Scholar 

  • Ernst & Young (2020): Autokonzerne rutschen im zweiten Quartal tief in die roten Zahlen. Retrieved from http://www.ey.com/de_de/news/2020/09/ey-automotive-bilanzenq2-2020 (accessed: 10 January 2021).

  • Fahimnia, B.; Sarkis, J.; Davarzani, H. (2015a): Green supply chain management: A review and bibliometric analysis. In: International Journal of Production Economics, 162, pp. 101–114.

    Google Scholar 

  • Fahimnia, B.; Tang, C. S.; Davarzani, H.; Sarkis, J. (2015b): Quantitative models for managing supply chain risks: A review. In: European Journal of Operational Research, 247 (1), pp. 1–15.

    Google Scholar 

  • Fan, H.; Cheng, T. C. E.; Li, G.; Lee, P. K. C. (2016): The Effectiveness of Supply Chain Risk Information Processing Capability: An Information Processing Perspective. In: IEEE Transactions on Engineering Management, 63 (4), pp. 414–425.

    Google Scholar 

  • Fan, Y.; Stevenson, M. (2018): A review of supply chain risk management: Definition, theory, and research agenda. In: International Journal of Physical Distribution & Logistics Management, 48 (3), pp. 205–230.

    Google Scholar 

  • Geng, Y.; Chen, W.; Liu, Z.; Chiu, A. S.; Han, W.; Liu, Z.; Zhong, S.; Qian, Y.; You, W.; Cui, X. (2017): A bibliometric review: Energy consumption and greenhouse gas emissions in the residential sector. In: Journal of Cleaner Production, 159, pp. 301–316.

    Google Scholar 

  • Goh, M.; Lim, J. Y.; Meng, F. (2007): A stochastic model for risk management in global supply chain networks. In: European Journal of Operational Research, 182 (1), pp. 164–173.

    Google Scholar 

  • Hallikas, J.; Karvonen, I.; Pulkkinen, U.; Virolainen, V.‐M.; Tuominen, M. (2004): Risk management processes in supplier networks. In: International Journal of Production Economics, 90 (1), pp. 47–58.

    Google Scholar 

  • Harris, I.; Wang, Y.; Wang, H. (2015): ICT in multimodal transport and technological trends: Unleashing potential for the future. In: International Journal of Production Economics, 159, pp. 88–103.

    Google Scholar 

  • Hartmann, J.; Moeller, S. (2014): Chain liability in multitier supply chains? Responsibility attributions for unsustainable supplier behavior. In: Journal of Operations Management, 32 (5), pp. 281–294.

    Google Scholar 

  • Ho, W.; Zheng, T.; Yildiz, H.; Talluri, S. (2015): Supply chain risk management: A literature review. In: International Journal of Production Research, 53 (16), pp. 5031–5069.

    Google Scholar 

  • Hofmann, E.; Rüsch, M. (2017): Industry 4.0 and the current status as well as future prospects on logistics. In: Computers in Industry, 89, pp. 23–34.

    Google Scholar 

  • Ivanov, D.; Dolgui, A.; Sokolov, B. (2019): The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. In: International Journal of Production Research, 57 (3), pp. 829–846.

    Google Scholar 

  • Ivanov, D.; Dolgui, A.; Sokolov, B.; Ivanova, M. (2017): Literature review on disruption recovery in the supply chain. In: International Journal of Production Research, 55 (20), pp. 6158–6174.

    Google Scholar 

  • Jüttner, U. (2005): Supply chain risk management. In: The International Journal of Logistics Management, 16 (1), pp. 120–141.

    Google Scholar 

  • Jüttner, U.; Peck, H.; Christopher, M. (2003): Supply chain risk management: outlining an agenda for future research. In: International Journal of Logistics Research and Applications, 6 (4), pp. 197–210.

    Google Scholar 

  • Kagermann, H.; Helbig, J.; Hellinger, A.; Wahlster, W. (2013): Recommendations for implementing the strategic initiative Industry 4.0 ‐ Final report of the Industry 4.0 Working Group. Frankfurt/Main, Germany: Communication Promoters Group of the Industry‐Science Research.

    Google Scholar 

  • Kiel, D.; Müller, J. M.; Arnold, C.; Voigt, K.‐I. (2017): Sustainable industrial value creation: benefits and challenges of Indsutry 4.0. In: International Journal of Innovation Management, 21 (8), 1740015.

    Google Scholar 

  • Kilubi, I.; Rogers, H. (2018): Bridging the gap between supply chain risk management and strategic technology partnering capabilities: insights from social capital theory. In: Supply Chain Management: An International Journal, 23 (4), pp. 278–292.

    Google Scholar 

  • Kleindorfer, P. R.; Saad, G. H. (2005): Managing Disruption Risks in Supply Chains. In: Production and Operations Management, 14 (1), pp. 53–68.

    Google Scholar 

  • Miorandi, D.; Sicari, S.; Pellegrini, F. de; Chlamtac, I. (2012): Internet of things: Vision, applications and research challenges. In: Ad Hoc Networks, 10 (7), pp. 1497–1516.

    Google Scholar 

  • Norman, W.; MacDonald, C. (2004): Getting to the Bottom of “Triple Bottom Line”. In: Business Ethics Quarterly, 14 (2), pp. 243–262.

    Google Scholar 

  • Pagell, M.; Wu, Z.; Wasserman, M. E. (2010): Thinking differently about purchasing portfolios: an assessment of sustainable sourcing. In: The Journal of Supply Chain Management, 46 (1), pp. 57–73.

    Google Scholar 

  • Pang, Z.; Chen, Q.; Han, W.; Zheng, L. (2015): Value‐centric design of the internet‐ofthings solution for food supply chain: Value creation, sensor portfolio and information fusion. In: Information Systems Frontiers, 17 (2), pp. 289–319.

    Google Scholar 

  • Rosa, P.; Sassanelli, C.; Urbinati, A.; Chiaroni, D.; Terzi, S. (2020): Assessing relations between Circular Economy and Industry 4.0: a systematic literature review. In: International Journal of Production Research, 58 (6), pp. 1662–1687.

    Google Scholar 

  • Schlegel, A.; Birkel, H. S.; Hartmann, E. (2020): Enabling integrated business planning through big data analytics: a case study on sales and operations planning. In: International Journal of Physical Distribution & Logistics Management, aheadof‐print.

    Google Scholar 

  • Sodhi, M. S.; Son, B.‐G.; Tang, C. S. (2012): Researchers’ Perspectives on Supply Chain Risk Management. In: Production and Operations Management, 21 (1), pp. 1–13.

    Google Scholar 

  • Tang, C. S. (2006): Perspectives in supply chain risk management. In: International Journal of Production Economics, 103 (2), pp. 451–488.

    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), pp. 242–249.

    Google Scholar 

  • Tomlin, B. (2006): On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks. In: Management Science, 52 (5), pp. 639–657.

    Google Scholar 

  • Trunk, A.; Birkel, H.; Hartmann, E. (2020): On the current state of combining human and artificial intelligence for strategic organizational decision making. In: Business Research, 13 (3), pp. 875–919.

    Google Scholar 

  • van Remko, H. (2020): Research opportunities for a more resilient post‐COVID‐19 supply chain – closing the gap between research findings and industry practice. In: International Journal of Operations & Production Management, 40 (4), pp. 341–355.

    Google Scholar 

  • Verdouw, C. N.; Wolfert, J.; Beulens, A.; Rialland, A. (2016): Virtualization of food supply chains with the internet of things. In: Journal of Food Engineering, 176, pp. 128–136.

    Google Scholar 

  • Vial, G. (2019): Understanding digital transformation: A review and a research agenda. In: The Journal of Strategic Information Systems, 28 (2), pp. 118–144.

    Google Scholar 

  • Wagner, S. M.; Bode, C. (2006): An empirical investigation into supply chain vulnerability. In: Journal of Purchasing and Supply Management, 12 (6), pp. 301–312.

    Google Scholar 

  • Wieland, A.; Wallenburg, C. M. (2012): Dealing with supply chain risks. In: International Journal of Physical Distribution & Logistics Management, 42 (10), pp. 887–905.

    Google Scholar 

  • Wu, F.; Geng, Y.; Tian, X.; Zhong, S.; Wu, W.; Yu, S.; Xiao, S. (2018): Responding climate change: A bibliometric review on urban environmental governance. In: Journal of Cleaner Production, 204, pp. 344–354.

    Google Scholar 

  • Xu, L. D.; He, W.; Li, S. (2014): Internet of Things in Industries: A Survey. In: IEEE Transactions on Industrial Informatics, 10 (4), pp. 2233–2243.

    Google Scholar 

  • Xu, L. D.; Xu, E. L.; Li, L. (2018): Industry 4.0: state of the art and future trends. In: International Journal of Production Research, 56 (8), pp. 2941–2962.

    Google Scholar 

  • Yan, R. (2017): Optimization approach for increasing revenue of perishable product supply chain with the Internet of Things. In: Industrial Management & Data Systems, 117 (4), pp. 729–741.

    Google Scholar 

  • Yin, R. K. (2018): Case study research and applications. Design and methods. Los Angeles: SAGE.

    Google Scholar 

  • Zhou, L.; Chong, A. Y.; Ngai, E. W. (2015): Supply chain management in the era of the internet of things. In: International Journal of Production Economics, 159, pp. 1–3.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Birkel, H. (2021). The paradigm shift of supply chain management: risks, technological innovation and social impact. 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/10.1007/978-3-658-35449-7_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-35449-7_1

  • Published:

  • Publisher Name: Springer Gabler, Wiesbaden

  • Print ISBN: 978-3-658-35448-0

  • Online ISBN: 978-3-658-35449-7

  • eBook Packages: Business and Economics (German Language)

Publish with us

Policies and ethics