Building resilience and managing post-disruption supply chain recovery: Lessons from the information and communication technology industry

Abstract In recent years, major local and global disruptions have had significant adverse effects on corporate performance, particularly for businesses with long, global supply chains. Managing disruption and its effects has therefore become a key focus for firms. While the process of disruption management has attracted considerable research attention, much of it has been directed at the pre-disruption stage. This study investigates the post-disruption stage, and its management. The unpredictability of disruption magnitude and nature suggests that the post-disruption management process may be as important, if not more so, than pre-determined pre-disruption strategies. An effective post-disruption management process would directly affect actual ability to recover from sudden and serious disruptions. This study analyzes six companies, variously positioned upstream and downstream in the supply chain of the information and communications technology (ICT) industry in Taiwan. Specific factors and strategies relating to the post-disruption management process were collected by conducting in-depth interviews with the managers and executives of the firms. The information was categorized into distinct disruption management process stages: discovery, recovery, and supply chain redesign. The study findings are interesting and at times, new and counter-intuitive, including the surprising positive effects of clustering in disruptions, and the role of back-up supplier and material verification in disruption recovery. The study emerges with an integrated framework that can be utilized to establish an effective post-disruption management process. The framework is used to develop research propositions for future research.

[1]  M. Parast,et al.  A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research , 2016 .

[2]  Mark Stevenson,et al.  Supply chain resilience: definition, review and theoretical foundations for further study , 2015 .

[3]  Yogesh Kumar Dwivedi,et al.  Land records on Blockchain for implementation of Land Titling in India , 2020, Int. J. Inf. Manag..

[4]  Stephan M. Wagner,et al.  Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions , 2015 .

[5]  Yogesh Kumar Dwivedi,et al.  Artificial intelligence for decision making in the era of Big Data - evolution, challenges and research agenda , 2019, Int. J. Inf. Manag..

[6]  Young Won Park,et al.  Supply chain lessons from the catastrophic natural disaster in Japan , 2013 .

[7]  Kash Barker,et al.  A review of definitions and measures of system resilience , 2016, Reliab. Eng. Syst. Saf..

[8]  Samuel Fosso Wamba,et al.  Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA , 2019, Int. J. Inf. Manag..

[9]  Piyush Singhal,et al.  Supply chain risk management: review, classification and future research directions , 2011 .

[10]  Dmitry A. Ivanov,et al.  Disruption tails and revival policies: A simulation analysis of supply chain design and production-ordering systems in the recovery and post-disruption periods , 2019, Comput. Ind. Eng..

[11]  Lili Yang,et al.  Design Principles of Integrated Information Platform for Emergency Responses: The Case of 2008 Beijing Olympic Games , 2012, Inf. Syst. Res..

[12]  Angappa Gunasekaran,et al.  Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture , 2019, British Journal of Management.

[13]  C. Barnham Quantitative and qualitative research. , 2015 .

[14]  Wen-Lung Shiau,et al.  Supply chain management: exploring the intellectual structure , 2015, Scientometrics.

[15]  Paul A. Pavlou,et al.  Interfirm IT Capability Profiles and Communications for Cocreating Relational Value: Evidence from the Logistics Industry , 2012, MIS Q..

[16]  Christoph Bode,et al.  Stages of Supply Chain Disruption Response: Direct, Constraining, and Mediating Factors for Impact Mitigation , 2017, Decis. Sci..

[17]  Jennifer Blackhurst,et al.  The Severity of Supply Chain Disruptions: Design Characteristics and Mitigation Capabilities , 2007, Decis. Sci..

[18]  Alexandre Dolgui,et al.  Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience , 2018, Int. J. Prod. Res..

[19]  Jun Tian,et al.  Characterizing information propagation patterns in emergencies: A case study with Yiliang Earthquake , 2018, Int. J. Inf. Manag..

[20]  Angappa Gunasekaran,et al.  Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience , 2019, Int. J. Prod. Res..

[21]  Brian Fynes,et al.  Mitigation Processes – Antecedents for Building supply chain resilience , 2014 .

[22]  Alexandre Dolgui,et al.  Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain , 2019, Int. J. Prod. Res..

[23]  Alexandre Dolgui,et al.  A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0 , 2016 .

[24]  Suresh P. Sethi,et al.  Contingent sourcing under supply disruption and competition , 2013 .

[25]  Makarand Hastak,et al.  Social network analysis: Characteristics of online social networks after a disaster , 2018, Int. J. Inf. Manag..

[26]  Yogesh Kumar Dwivedi,et al.  Information systems project failure – analysis of causal links using interpretive structural modelling , 2016 .

[27]  R. Handfield,et al.  An empirically derived agenda of critical research issues for managing supply-chain disruptions , 2005 .

[28]  Masahisa Fujita,et al.  Japan and economic integration in East Asia: post-disaster scenario , 2012 .

[29]  Kevin P. Scheibe,et al.  Supply chain vulnerability assessment: A network based visualization and clustering analysis approach , 2018 .

[30]  Alexandre Dolgui,et al.  Ripple effect in the supply chain: an analysis and recent literature , 2018, Int. J. Prod. Res..

[31]  Alexandre Dolgui,et al.  Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility , 2019, Handbook of Ripple Effects in the Supply Chain.

[32]  Chad W. Autry,et al.  A contingent resource-based perspective of supply chain resilience and robustness , 2014 .

[33]  Yogesh Kumar Dwivedi,et al.  Blockchain research, practice and policy: Applications, benefits, limitations, emerging research themes and research agenda , 2019, Int. J. Inf. Manag..

[34]  Mark Stevenson,et al.  An exploratory analysis of counterfeiting strategies: Towards counterfeit-resilient supply chains , 2015 .

[35]  Angappa Gunasekaran,et al.  Agility and resilience as antecedents of supply chain performance under moderating effects of organizational culture within the humanitarian setting: a dynamic capability view , 2018, Production Planning & Control.

[36]  Prasanna Tambe,et al.  The Productivity of Information Technology Investments: New Evidence from IT Labor Data , 2011, Inf. Syst. Res..

[37]  Yogesh Kumar Dwivedi,et al.  Predicting changing pattern: building model for consumer decision making in digital market , 2018, J. Enterp. Inf. Manag..

[38]  A. Gunasekaran,et al.  The role of Big Data in explaining disaster resilience in supply chains for sustainability , 2017 .

[39]  Kaitlin S. Dunn,et al.  An Empirically Derived Framework of Global Supply Resiliency , 2011 .

[40]  Tadeusz Sawik,et al.  Integrated selection of suppliers and scheduling of customer orders in the presence of supply chain disruption risks , 2013 .

[41]  Joost R. Santos,et al.  Modeling a severe supply chain disruption and post-disaster decision making with application to the Japanese earthquake and tsunami , 2014 .

[42]  Yogesh Kumar Dwivedi,et al.  Smart cities: Advances in research - An information systems perspective , 2019, Int. J. Inf. Manag..

[43]  Wenlin Yao,et al.  Social media for intelligent public information and warning in disasters: An interdisciplinary review , 2019, Int. J. Inf. Manag..

[44]  Ralf W. Seifert,et al.  Building up Resilience in a Pharmaceutical Supply Chain through Inventory, Dual Sourcing and Agility Capacity , 2017 .

[45]  Sven Laumer,et al.  Research on information systems failures and successes: Status update and future directions , 2014, Information Systems Frontiers.

[46]  Forbes Gibb,et al.  A framework for business continuity management , 2006, Int. J. Inf. Manag..

[47]  Scott J. Grawe,et al.  Firm's resilience to supply chain disruptions: Scale development and empirical examination , 2015 .

[48]  Alexandre Dolgui,et al.  Literature review on disruption recovery in the supply chain* , 2017, Int. J. Prod. Res..

[49]  Kecheng Liu,et al.  Digital business ecosystem: Literature review and a framework for future research , 2019, Int. J. Inf. Manag..

[50]  Y. Sheffi,et al.  A supply chain view of the resilient enterprise , 2005 .

[51]  Alexandre Dolgui,et al.  The Ripple effect in supply chains: trade-off ‘efficiency-flexibility-resilience’ in disruption management , 2014 .

[52]  Jonna Järveläinen,et al.  IT incidents and business impacts: Validating a framework for continuity management in information systems , 2013, Int. J. Inf. Manag..

[53]  Angappa Gunasekaran,et al.  Antecedents of Resilient Supply Chains: An Empirical Study , 2019, IEEE Transactions on Engineering Management.

[54]  Arpan Kumar Kar,et al.  Big data with cognitive computing: A review for the future , 2018, Int. J. Inf. Manag..

[55]  Alexandre Dolgui,et al.  Review of quantitative methods for supply chain resilience analysis , 2019, Transportation Research Part E: Logistics and Transportation Review.

[56]  Dmitry Ivanov,et al.  A real-option approach to mitigate disruption risk in the supply chain , 2019, Omega.

[57]  Alexandre Dolgui,et al.  The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics , 2018, Int. J. Prod. Res..

[58]  Viswanath Venkatesh,et al.  Blockchain, adoption, and financial inclusion in India: Research opportunities , 2020, Int. J. Inf. Manag..

[59]  Steven A. Melnyk,et al.  Understanding supply chain resilience , 2014 .

[60]  N. Suresh,et al.  An impact of manufacturing flexibility and technological dimensions of manufacturing strategy on improving supply chain responsiveness: Business environment perspective , 2013 .

[61]  Enzo Morosini Frazzon,et al.  A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing , 2019, Int. J. Inf. Manag..

[62]  Angappa Gunasekaran,et al.  Vision, applications and future challenges of Internet of Things: A bibliometric study of the recent literature , 2016, Ind. Manag. Data Syst..

[63]  Deborah Bunker,et al.  Emergency management in the changing world of social media: Framing the research agenda with the stakeholders through engaged scholarship , 2019, Int. J. Inf. Manag..

[64]  D. Ivanov,et al.  Global Supply Chain and Operations Management , 2021, Springer Texts in Business and Economics.

[65]  Tsan-Ming Choi,et al.  Optimal Bi-Objective Redundancy Allocation for Systems Reliability and Risk Management , 2016, IEEE Transactions on Cybernetics.

[66]  K. Scholten,et al.  The role of collaboration in supply chain resilience , 2015 .

[67]  Benoît Iung,et al.  Challenges for the cyber-physical manufacturing enterprises of the future , 2019, Annu. Rev. Control..

[68]  Dmitry Ivanov,et al.  Simultaneous structural–operational control of supply chain dynamics and resilience , 2019, Ann. Oper. Res..

[69]  Malin Song,et al.  Blockchain technology and enterprise operational capabilities: An empirical test , 2020, Int. J. Inf. Manag..

[70]  Alexandre Dolgui,et al.  Hybrid Fuzzy-Probabilistic Approach to Supply Chain Resilience Assessment , 2018, IEEE Transactions on Engineering Management.

[71]  Alexandre Dolgui,et al.  Does the ripple effect influence the bullwhip effect? An integrated analysis of structural and operational dynamics in the supply chain† , 2020, Int. J. Prod. Res..

[72]  Keely L. Croxton,et al.  ENSURING SUPPLY CHAIN RESILIENCE: DEVELOPMENT OF A CONCEPTUAL FRAMEWORK , 2010 .

[73]  R. Narasimhan,et al.  Supplier integration—Finding an optimal configuration , 2006 .

[74]  Abdullah Al Khaled,et al.  A general framework for assessing system resilience using Bayesian networks: A case study of sulfuric acid manufacturer , 2016 .

[75]  Angappa Gunasekaran,et al.  The design of a responsive sustainable supply chain network under uncertainty , 2015 .

[76]  U. Juettner,et al.  Supply chain resilience in the global financial crisis: an empirical study , 2011 .

[77]  Dmitry Ivanov,et al.  Optimization of network redundancy and contingency planning in sustainable and resilient supply chain resource management under conditions of structural dynamics , 2019, Annals of Operations Research.

[78]  T. Corsi,et al.  Supply chain disruption management: Severe events, recovery, and performance , 2013 .

[79]  Jukka Heikkilä,et al.  Business continuity of business models: Evaluating the resilience of business models for contingencies , 2019, Int. J. Inf. Manag..

[80]  C. Barnham Quantitative and Qualitative Research: Perceptual Foundations , 2015 .

[81]  Kash Barker,et al.  A Bayesian network model for resilience-based supplier selection , 2016 .

[82]  Maria Jesus Saenz,et al.  Creating more resilient supply chains , 2014 .

[83]  Stefan Tönnissen,et al.  Analysing the impact of blockchain-technology for operations and supply chain management: An explanatory model drawn from multiple case studies , 2020, Int. J. Inf. Manag..

[84]  D. Ivanov Revealing interfaces of supply chain resilience and sustainability: a simulation study , 2018, Int. J. Prod. Res..

[85]  Jennifer Blackhurst,et al.  Keep Your Friends Close? Supply Chain Design and Disruption Risk , 2015, Decis. Sci..

[86]  Dmitry Ivanov,et al.  Managing Disruptions and the Ripple Effect in Digital Supply Chains: Empirical Case Studies , 2019, Handbook of Ripple Effects in the Supply Chain.

[87]  Brian Tomlin,et al.  On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks , 2006, Manag. Sci..