IDEAS home Printed from https://ideas.repec.org/a/spr/elmark/v30y2020i3d10.1007_s12525-019-00383-6.html
   My bibliography  Save this article

Value of data meets IT security – assessing IT security risks in data-driven value chains

Author

Listed:
  • Laura Bitomsky

    (University of Augsburg)

  • Olga Bürger

    (University of Bayreuth
    Project Group Business & Information Systems Engineering of the Fraunhofer FIT)

  • Björn Häckel

    (University of Applied Sciences Augsburg
    Project Group Business & Information Systems Engineering of the Fraunhofer FIT)

  • Jannick Töppel

    (University of Applied Sciences Augsburg
    Project Group Business & Information Systems Engineering of the Fraunhofer FIT)

Abstract

Digitalization forces manufacturing companies to shift towards customer-oriented, highly data-driven forms of value creation. This results in a changing IT security risk landscape as data becomes an attractive target for adversaries leading to an increasing number of attacks. In order to successfully protect data, it is essential that it is assessed in an integrated manner. Although IT security and data-based value creation have been studied by large research bodies, the existing literature fails to provide guidance on IT security risk analysis in data-based value chains. To contribute to the closure of this research gap, we propose a modeling approach which allocates different data types to value activities and analyses the data types in relation to the properties of relevant IT security risks. The evaluation, conducted with industry experts, reveals that it is not only a company’s primary assets that are of concern but also less important data types subject to significant levels of exposure that bear considerable IT security risks.

Suggested Citation

  • Laura Bitomsky & Olga Bürger & Björn Häckel & Jannick Töppel, 2020. "Value of data meets IT security – assessing IT security risks in data-driven value chains," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(3), pages 589-605, September.
  • Handle: RePEc:spr:elmark:v:30:y:2020:i:3:d:10.1007_s12525-019-00383-6
    DOI: 10.1007/s12525-019-00383-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12525-019-00383-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12525-019-00383-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Martin Desrochers & Jacques Desrosiers & Marius Solomon, 1992. "A New Optimization Algorithm for the Vehicle Routing Problem with Time Windows," Operations Research, INFORMS, vol. 40(2), pages 342-354, April.
    2. Shahriar Akter & Samuel Fosso Wamba, 2016. "Big data analytics in E-commerce: a systematic review and agenda for future research," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 173-194, May.
    3. Swanson, Laura, 2001. "Linking maintenance strategies to performance," International Journal of Production Economics, Elsevier, vol. 70(3), pages 237-244, April.
    4. Grant Purdy, 2010. "ISO 31000:2009—Setting a New Standard for Risk Management," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 881-886, June.
    5. Yaqoob, Ibrar & Hashem, Ibrahim Abaker Targio & Gani, Abdullah & Mokhtar, Salimah & Ahmed, Ejaz & Anuar, Nor Badrul & Vasilakos, Athanasios V., 2016. "Big data: From beginning to future," International Journal of Information Management, Elsevier, vol. 36(6), pages 1231-1247.
    6. Keeney,Ralph L. & Raiffa,Howard, 1993. "Decisions with Multiple Objectives," Cambridge Books, Cambridge University Press, number 9780521438834.
    7. Merton, Robert C., 1976. "Option pricing when underlying stock returns are discontinuous," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 125-144.
    8. Marcel Papert & Alexander Pflaum, 2017. "Development of an Ecosystem Model for the Realization of Internet of Things (IoT) Services in Supply Chain Management," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(2), pages 175-189, May.
    9. Detmar W. Straub & Richard T. Watson, 2001. "Research Commentary: Transformational Issues in Researching IS and Net-Enabled Organizations," Information Systems Research, INFORMS, vol. 12(4), pages 337-345, December.
    10. Bradley C. Wheeler, 2002. "NEBIC: A Dynamic Capabilities Theory for Assessing Net-Enablement," Information Systems Research, INFORMS, vol. 13(2), pages 125-146, June.
    11. Fama, Eugene F, et al, 1969. "The Adjustment of Stock Prices to New Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(1), pages 1-21, February.
    12. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    13. Hamid Ekbia & Michael Mattioli & Inna Kouper & G. Arave & Ali Ghazinejad & Timothy Bowman & Venkata Ratandeep Suri & Andrew Tsou & Scott Weingart & Cassidy R. Sugimoto, 2015. "Big data, bigger dilemmas: A critical review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(8), pages 1523-1545, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sepideh Ebrahimi & Kamran Eshghi, 2022. "A meta-analysis of the factors influencing the impact of security breach announcements on stock returns of firms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2357-2380, December.
    2. Rainer Alt, 2020. "Electronic Markets on business model development," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(3), pages 405-411, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    2. Tim Bollerslev & Sophia Zhengzi Li & Viktor Todorov, 2014. "Roughing up Beta: Continuous vs. Discontinuous Betas, and the Cross-Section of Expected Stock Returns," CREATES Research Papers 2014-48, Department of Economics and Business Economics, Aarhus University.
    3. Martin Lehnert & Alexander Linhart & Maximilian Röglinger, 2016. "Value-based process project portfolio management: integrated planning of BPM capability development and process improvement," Business Research, Springer;German Academic Association for Business Research, vol. 9(2), pages 377-419, August.
    4. Eric. W. K. See-To & Yang Yang, 2017. "Market sentiment dispersion and its effects on stock return and volatility," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 283-296, August.
    5. Mathias Eggert & Jens Alberts, 2020. "Frontiers of business intelligence and analytics 3.0: a taxonomy-based literature review and research agenda," Business Research, Springer;German Academic Association for Business Research, vol. 13(2), pages 685-739, July.
    6. Goddard, John & Onali, Enrico, 2012. "Self-affinity in financial asset returns," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 1-11.
    7. Montecchi, Matteo & Plangger, Kirk & West, Douglas C., 2021. "Supply chain transparency: A bibliometric review and research agenda," International Journal of Production Economics, Elsevier, vol. 238(C).
    8. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034.
    9. Ding, Li & Lam, Hugo K.S. & Cheng, T.C.E. & Zhou, Honggeng, 2018. "A review of short-term event studies in operations and supply chain management," International Journal of Production Economics, Elsevier, vol. 200(C), pages 329-342.
    10. Muhammed Gul, 2020. "Digital business strategies and competitive superiority," International Journal of Business Ecosystem & Strategy (2687-2293), Bussecon International Academy, vol. 2(1), pages 17-31, January.
    11. Wallbach, Sören, 2020. "Assimilation and Diffusion of Multi-Sided Platforms in Dynamic B2B Networks: Inhibiting Factors and Their Consequences," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 123277, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    12. Ahmad Alojairi & Nadeem Akhtar & Hafizi Muhamad Ali & Abdullah F. Basiouni, 2019. "Assessing Canadian Business IT Capabilities for Online Selling Adoption: A Net-Enabled Business Innovation Cycle (NEBIC) Perspective," Sustainability, MDPI, vol. 11(13), pages 1-16, July.
    13. Ghasemaghaei, Maryam & Calic, Goran, 2019. "Does big data enhance firm innovation competency? The mediating role of data-driven insights," Journal of Business Research, Elsevier, vol. 104(C), pages 69-84.
    14. Ausloos, Marcel & Jovanovic, Franck & Schinckus, Christophe, 2016. "On the “usual” misunderstandings between econophysics and finance: Some clarifications on modelling approaches and efficient market hypothesis," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 7-14.
    15. Jiming Hu & Yin Zhang, 2017. "Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 91-109, July.
    16. Patrick Afflerbach & Manuel Bolsinger & Maximilian Röglinger, 2016. "An economic decision model for determining the appropriate level of business process standardization," Business Research, Springer;German Academic Association for Business Research, vol. 9(2), pages 335-375, August.
    17. Bollerslev, Tim & Li, Sophia Zhengzi & Todorov, Viktor, 2016. "Roughing up beta: Continuous versus discontinuous betas and the cross section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 120(3), pages 464-490.
    18. Akter, Shahriar & Motamarri, Saradhi & Hani, Umme & Shams, Riad & Fernando, Mario & Mohiuddin Babu, Mujahid & Ning Shen, Kathy, 2020. "Building dynamic service analytics capabilities for the digital marketplace," Journal of Business Research, Elsevier, vol. 118(C), pages 177-188.
    19. S. Vijayakumar Bharathi, 2017. "Prioritizing and Ranking the Big Data Information Security Risk Spectrum," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 183-201, September.
    20. Gupta, Shivam & Kar, Arpan Kumar & Baabdullah, Abdullah & Al-Khowaiter, Wassan A.A., 2018. "Big data with cognitive computing: A review for the future," International Journal of Information Management, Elsevier, vol. 42(C), pages 78-89.

    More about this item

    Keywords

    Data-driven value creation; Value of data; IT security; Data security; Risk assessment;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:elmark:v:30:y:2020:i:3:d:10.1007_s12525-019-00383-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.