Nothing Special   »   [go: up one dir, main page]

Skip to main content
Log in

A conceptual framework for information-leakage-resilience

  • S.I. : Information- Transparent Supply Chains
  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

In today’s dynamic and competitive business environment, it is critical for firms to share information selectively and develop organizational resilience. However, only a few existing studies examine the relationships between information management and supply chain resilience. Aiming to bridge the gaps between both domains, we propose a model encompassing information security culture, information leakage, information sharing effectiveness and supply chain resilience and to derive insights from their inter-relationships in this research. A cross-sectional survey of the multi-national corporations and small and medium enterprises among their senior managers in the United Kingdom was carried out for data collection. The data set was analysed using a structural equation modelling approach. The results obtained validate the proposed model. The findings ascertain that information security culture and information leakage are negatively correlated, which influence the supply chain resilience. Specifically, information security and information leakage affect the effectiveness of information sharing, which in turn positively and negatively influence the supply chain resilience, respectively. This study posits that information security culture is instrumental to mitigate information leakage and foster effective information sharing to strengthen supply chain resilience.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Ahimbisibwe, A., Ssebulime, R., Tumuhairwe, R., & Tusiime, W. (2016). Supply chain visibility, supply chain velocity, supply chain alignment and humanitarian supply chain relief agility. European Journal of Logistics, Purchasing and Supply Chain Management, 4(2), 34–64.

    Google Scholar 

  • Adewole, A. (2005). Developing a strategic framework for efficient and effective optimization of information in the supply chains of the UK clothing manufacture industry. Supply Chain Management an International Journal, 10(5), 357–366.

    Google Scholar 

  • Alhogail, A., & Mirza, A. (2014). A framework of information security culture change. Journal of Theoretical and Applied Information Technology, 64(2), 540–549.

    Google Scholar 

  • Anand, K. S., & Goyal, M. (2009). Strategic information management under leakage in a supply chain. Management Science, 55(3), 438–452.

    Article  Google Scholar 

  • Amit, R., & Schoemaker, P. J. (1993). Strategic assets and organizational rent. Strategic Management Journal, 14(1), 33–46.

    Google Scholar 

  • Autry, C., Goldsby, T., & Bell, J. (2013). Global macrotrends and their impact on supply chain management: Strategies for gaining competitive advantage. Upper Saddle River: Pearson Education.

    Google Scholar 

  • Baihaqi, I., & Sohal, A. S. (2013). The impact of information sharing in supply chains on organisational performance: An empirical study. Production Planning & Control, 24(8–9), 743–758.

    Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

  • Bollen, K. A. (1990). Overall fit in covariance structure models: Two types of sample size effects. Psychological Bulletin, 107(2), 256–259.

    Google Scholar 

  • Brandon-Jones, E., Squire, B., Autry, C. W., & Petersen, K. J. (2014). A contingent resource-based perspective of supply chain resilience and robustness. Journal of Supply Chain Management, 50(3), 55–73.

    Google Scholar 

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

    Google Scholar 

  • Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.

    Google Scholar 

  • Chen, Y., Ramamurthy, K., & Wen, K. W. (2015). Impacts of comprehensive information security programs on information security culture. Journal of Computer Information Systems, 55(3), 11–19.

    Google Scholar 

  • Cheng, L., Liu, F., & Yao, D. (2017). Enterprise data breach: Causes, challenges, prevention and future directions. Wires Data Mining and Knowledge Discovery, 7, 1–14.

    Google Scholar 

  • Choi, T.-M. (2020). Supply chain financing using blockchain: Impacts on supply chain selling fashionable products. Annals of Operations Research. https://doi.org/10.1007/s10479-020-03615-7

    Article  Google Scholar 

  • Day, J. M. (2014). Fostering emergent resilience: The complex adaptive supply network of disaster relief. International Journal of Production Research, 52(7), 1970–1988.

    Google Scholar 

  • de Almeida, M. M. K., Marins, F. A. S., & Salgado, A. M. P. (2015). Mitigation of the bullwhip effect considering trust and collaboration in supply chain management: A literature review. International Journal of Advanced Manufacturing Technology, 77, 495–513.

    Google Scholar 

  • Douglas, M. (2004). Trust me! The human side of collaboration. Inbound Logistics (Jan). Accessed 21 Jun 2020

  • Dubey, R., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Blome, C., & Luo, Z. (2017). Antecedents of resilient supply chains: An empirical study. IEEE Transactions on Engineering Management, 66, 8–19.

    Google Scholar 

  • El-Sheikh, A. A., Abonazel, M. R., & Gamil, N. (2017). A review of software packages for structural equation modeling: A comparative study. Applied Mathematics, 5(3), 85–94.

    Google Scholar 

  • Fan, Z.-P., Wu, X.-Y., & Cao, B.-B. (2020). Considering the traceability awareness of consumers: Should the supply chain adopt the blockchain technology? Annals of Operations Research. https://doi.org/10.1007/s10479-020-03729-y

    Article  Google Scholar 

  • Fawcett, S. E., Osterhaus, P., Magnan, G. M., Brau, J. C., & McCarter, M. W. (2007). Information sharing and supply chain performance: The role of connectivity and willingness. Supply Chain Management: An International Journal, 12(5), 358–368.

    Google Scholar 

  • Feng, N., Chen, Y., Feng, H., Li, D., & Li, M. (2020). To outsource or not: The impact of information leakage risk on information security strategy. Information & Management. https://doi.org/10.1016/j.im.2019.103215

    Article  Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 13(8), 382–388.

    Google Scholar 

  • Govindan, K., Azevedo, S., Carvalho, H., & Cruz-Machado, V. (2015). Lean, green and resilient practices influence on supply chain performance: Interpretive structural modeling approach. International Journal of Environmental Science and Technology, 12(1), 15–34.

    Google Scholar 

  • Guan, X., Liu, B., Chen, Y. J., & Wang, H. (2020). Inducing supply chain transparency through supplier encroachment. Production and Operations Management, 29(3), 725–749.

    Google Scholar 

  • Hair, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107–123.

    Google Scholar 

  • Huong Tran, T. T., Childerhouse, P., & Deakins, E. (2016). Supply chain information sharing: Challenges and risk mitigation strategies. Journal of Manufacturing Technology Management, 27(8), 1102–1126.

    Google Scholar 

  • Ivanov, D., Sokolov, B., & Dolgui, A. (2014). The ripple effect in supply chains: Trade-off ‘efficiency-flexibility-resilience’ in disruption management. International Journal of Production Research, 52(7), 2154–2172.

    Google Scholar 

  • Ioannidis, C., Pym, D., William, J., & Gheyas, I. (2019). Resilience in information stewardship. European Journal of Operational Research, 274(2), 638–653.

    Google Scholar 

  • Joe, F., Jr., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121.

    Google Scholar 

  • Jöreskog, K., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International Inc.

    Google Scholar 

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

    Google Scholar 

  • Kamalahmadi, M., & Parast, M. M. (2016). A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. International Journal of Production Economics, 171, 116–133.

    Google Scholar 

  • Katsaliaki, K., Galetsi, P., & Kumar, S. (2020). Supply chain disruptions and resilience: A major review and future research agenda. Annals of Operations Research. https://doi.org/10.1007/s10479-020-03912-1

    Article  Google Scholar 

  • Kline, R. B. (2010). Principles and practice of structural equation modeling (3rd ed.). The Guilford Press.

    Google Scholar 

  • Lee, H. L., & Whang, S. (2000). Information sharing in a supply chain. International Journal of Manufacturing Technology and Management, 1(1), 79–93.

    Google Scholar 

  • Li, G., Zheng, H., Sethi, S. P., & Guan, X. (2020a). Inducing downstream information sharing via manufacturer information acquisition and retailer subsidy. Decision Sciences, 51(3), 691–719.

    Google Scholar 

  • Li, G., Li, L., Choi, T. M., & Sethi, S. P. (2020b). Green supply chain management in Chinese firms: Innovative measures and the moderating role of quick response technology. Journal of Operations Management, 66(7–8), 958–988.

    Google Scholar 

  • Li, S., & Lin, B. (2006). Accessing information sharing and information quality in supply chain management. Decision Support Systems, 42(3), 1641–1656.

    Google Scholar 

  • Manatsa, P. R., & McLaren, T. S. (2008). Information sharing in a supply chain: Using agency theory to guide the design of incentives. Supply Chain Forum: An International Journal, 9(1), 18–26.

    Google Scholar 

  • Mandal, S. (2012). An empirical investigation into supply chain resilience. IUP Journal of Supply Chain Management, 9(4), 46.

    Google Scholar 

  • Mangus, S. M., Bock, D. E., Jones, E., & Folse, J. A. G. (2020). Examining the effects of mutual information sharing and relationship empathy: A social penetration theory perspective. Journal of Business Research, 109, 376–384.

    Google Scholar 

  • MacDonald, J., Zobel, C., Melnyk, S., & Griffis, S. (2018). Supply chain risk and resilience: Theory building through structured experiments and simulation. International Journal of Production Research, 56(12), 4337–4355.

    Google Scholar 

  • Mello, J. P. Jr. (2012). Hackers attack Foxconn for the laughs. Macworld (9 Feb). Accessed 2 Jul 2020.

  • Muller, G., Koslowski, T. (2012). Resilience: A useful Pardigm for IT-Social Infrastructures? Research Cooperation YRL Hitachi and University of Freiburg, Deliverable No.1, Freiburg.

  • Muller, G., Koslowski, T., & Accorsi, R. (2013). Resilience—A New Research Field In Business Information Systems?”. In W. Abramowicz (Ed.), Business information systems workshops, Lecture notes in business information processing (Vol. 160, pp. 3–14). Springer.

    Google Scholar 

  • Mupepi, M., Modak, A., Motwani, J., & Mupepi, S. C. (2017). How can knowledge leakage be stopped: A socio-technical system design approach to risk management. International Journal of Sociotechnology and Knowledge Development, 9(1), 26–41.

    Google Scholar 

  • Nasir, A., Arshah, R. A., Hamid, M. R. A., & Fahmy, S. (2019). An analysis on the dimensions of information security culture concept: A review. Journal of Information Security and Applications, 44, 12–22.

    Google Scholar 

  • Newbert, S. L. (2007). Empirical research on the resource-based view of the firm: An assessment and suggestions for future research. Strategic Management Journal, 28(2), 121–146.

    Google Scholar 

  • Nishat Faisal, M., Banwet, D. K., & Shankar, R. (2007). Information risks management in supply chains: An assessment and mitigation framework. Journal of Enterprise Information Management, 20(6), 677–699.

    Google Scholar 

  • Pettit, T. J., Croxton, K. L., & Fiksel, J. (2019). The evolution of resilience in supply chain management: A retrospective on ensuring supply chain resilience. Journal of Business Logistics, 40(1), 56–65.

    Google Scholar 

  • Ponte, B., Framinan, J. M., Cannella, S., & Dominguez, R. (2020). Quantifying the Bullwhip Effect in closed-loop supply chains: The interplay of information transparencies, returns and lead times. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2020.107798

    Article  Google Scholar 

  • Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, 36(4), 717–731.

    Google Scholar 

  • Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891.

    Google Scholar 

  • Ritala, P., Olander, H., Michailova, S., & Husted, K. (2015). Knowledge sharing, knowledge leaking and relative innovation performance: An empirical study. Technovation, 35, 22–31.

    Google Scholar 

  • Scholten, K., Sharkey Scott, P., & Fynes, B. (2014). Mitigation processes–antecedents for building supply chain resilience. Supply Chain Management: An International Journal, 19(2), 211–228.

    Google Scholar 

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

    Google Scholar 

  • Sener, A., Barut, M., Oztekin, A., Avcilar, M. Y., & Yildirim, M. B. (2019). The role of information usage in a retail supply chain: A causal data mining and analytical modeling approach. Journal of Business Research, 99, 87–104.

    Google Scholar 

  • Sezen, B. (2008). Relative effects of design, integration and information sharing on supply chain performance. Supply Chain Management: An International Journal, 13(3), 233–240.

    Google Scholar 

  • Shaw, D. R., Grainger, A., & Achutan, K. (2017). Multi-level port resilience planning in the UK: How can information sharing be made easier? Technological Forecasting and Social Change, 121, 126–138.

    Google Scholar 

  • Shen, B., Choi, T., & Minner, S. (2019). A review on supply chain contracting with information considerations: Information updating and information asymmetry. International Journal of Production Research, 57(15–16), 4898–4936.

    Google Scholar 

  • Singh, C. S., Soni, G., & Badhotiya, G. K. (2019). Performance indicators for supply chain resilience: Review and conceptual framework. Journal of Industrial Engineering International, 15, 105–117.

    Google Scholar 

  • Soni, U., Jain, V., & Kumar, S. (2014). Measuring supply chain resilience using a deterministic modeling approach. Computers & Industrial Engineering, 74, 11–25.

    Google Scholar 

  • Sodhi, M. S., & Tang, C. S. (2019). Research opportunities in supply chain transparency. Production and Operations Management, 28(12), 2946–2959.

    Google Scholar 

  • Stevenson, M., & Busby, J. (2015). An exploratory analysis of counterfeiting strategies: Towards counterfeit-resilient supply chains. International Journal of Operations & Production Management, 35(1), 110–144.

    Google Scholar 

  • Tabasso, N. (2019). Diffusion of multiple information: On information resilience and the power of segregation. Games and Economic Behavior., 118, 219–240.

    Google Scholar 

  • Tseng, M. L., Tran, T. P. T., Wu, K. J., Bui, D. T., Tan, R. R. (2020). Exploring Sustainable seafood supply chain management in linguistic preferences: collaboration in supply chain and lean management drive economic benefit. International Journal of Logistics Research and Application (Article in Press)

  • Tukamuhabwa, B., Stevenson, M., Busby, J., & Zorzini, M. (2015). Supply chain resilience: Definition, review and theoretical foundations for further study. International Journal of Production Research, 53(18), 5592–5623.

    Google Scholar 

  • Ulhaq, I., Kuruvilla, K. T., Nkhoma, M., Vu, H. H., & Tuyet, N. T. (2016). Information security risks in supply chain management: A review of literature for the developing country context. International Journal of Information System and Engineering, 4(2), 58–70.

    Google Scholar 

  • Veiga, A., Astakhova, L. V., Botha, A., & Herselman, M. (2020). Defining organisational information security culture–perspectives from academia and industry. Computers & Security, 92, 101713.

    Google Scholar 

  • Veiga, A., & Martins, N. (2015). Improving the information security culture through monitoring and implementation actions illustrated through a case study. Computers & Security, 49, 162–176.

    Google Scholar 

  • Veiga, A., & Martins, N. (2017). Defining and identifying dominant information security cultures and subculture. Computers & Security, 70, 72–94.

    Google Scholar 

  • Wang, Y., & Zhang, S. H. (2020). Optimal production and inventory rationing policies with selective-information sharing and two demand classes. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2020.05.051

    Article  Google Scholar 

  • Wei, L., Zhang, J., & Zhu, G. (2020). Incentive of retailer information sharing on manufacturer volume flexibility choice. Omega. https://doi.org/10.1016/j.omega.2020.102210

    Article  Google Scholar 

  • Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171–180.

    Google Scholar 

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

    Google Scholar 

  • Wiley, A., McCormac, A., & Calic, D. (2020). More than the individual: Examining the relationship between culture and information security awareness. Computers & Security, 88, 101640.

    Google Scholar 

  • Wong, C. W. Y., Lim, T.-C., Yang, C.-C., & Shang, K.-C. (2020). Supply chain and external conditions under which supply chain resilience pays: An organizational information processing theorization. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2019.107610

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the British Academy Newton-Ungku Omar Fund and Academy of Sciences Malaysia [Grant Number 304/PMGT/650912/B130] for supporting this research sproject.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ajay Kumar.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wong, WP., Tan, K.H., Govindan, K. et al. A conceptual framework for information-leakage-resilience. Ann Oper Res 329, 931–951 (2023). https://doi.org/10.1007/s10479-021-04219-5

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-021-04219-5

Keywords

Navigation