IDEAS home Printed from https://ideas.repec.org/a/spr/infsem/v16y2018i3d10.1007_s10257-018-0377-z.html
   My bibliography  Save this article

Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies

Author

Listed:
  • Ilias O. Pappas

    (Norwegian University of Science and Technology (NTNU))

  • Patrick Mikalef

    (Norwegian University of Science and Technology (NTNU))

  • Michail N. Giannakos

    (Norwegian University of Science and Technology (NTNU))

  • John Krogstie

    (Norwegian University of Science and Technology (NTNU))

  • George Lekakos

    (Athens University of Economics and Business)

Abstract

The digitalization process and its outcomes in the 21st century accelerate transformation and the creation of sustainable societies. Our decisions, actions and even existence in the digital world generate data, which offer tremendous opportunities for revising current business methods and practices, thus there is a critical need for novel theories embracing big data analytics ecosystems. Building upon the rapidly developing research on digital technologies and the strengths that information systems discipline brings in the area, we conceptualize big data and business analytics ecosystems and propose a model that portraits how big data and business analytics ecosystems can pave the way towards digital transformation and sustainable societies, that is the Digital Transformation and Sustainability (DTS) model. This editorial discusses that in order to reach digital transformation and the creation of sustainable societies, first, none of the actors in the society can be seen in isolation, instead we need to improve our understanding of their interactions and interrelations that lead to knowledge, innovation, and value creation. Second, we gain deeper insight on which capabilities need to be developed to harness the potential of big data analytics. Our suggestions in this paper, coupled with the five research contributions included in the special issue, seek to offer a broader foundation for paving the way towards digital transformation and sustainable societies

Suggested Citation

  • Ilias O. Pappas & Patrick Mikalef & Michail N. Giannakos & John Krogstie & George Lekakos, 2018. "Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies," Information Systems and e-Business Management, Springer, vol. 16(3), pages 479-491, August.
    • Handle: RePEc:spr:infsem:v:16:y:2018:i:3:d:10.1007_s10257-018-0377-z
    DOI: 10.1007/s10257-018-0377-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10257-018-0377-z
    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/s10257-018-0377-z?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. Ritu Agarwal & Vasant Dhar, 2014. "Editorial —Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research," Information Systems Research, INFORMS, vol. 25(3), pages 443-448, September.
    2. Vargo, Stephen L. & Maglio, Paul P. & Akaka, Melissa Archpru, 2008. "On value and value co-creation: A service systems and service logic perspective," European Management Journal, Elsevier, vol. 26(3), pages 145-152, June.
    3. Ron Adner & Rahul Kapoor, 2010. "Value creation in innovation ecosystems: how the structure of technological interdependence affects firm performance in new technology generations," Strategic Management Journal, Wiley Blackwell, vol. 31(3), pages 306-333, March.
    4. Vidgen, Richard & Shaw, Sarah & Grant, David B., 2017. "Management challenges in creating value from business analytics," European Journal of Operational Research, Elsevier, vol. 261(2), pages 626-639.
    5. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
    6. Tsujimoto, Masaharu & Kajikawa, Yuya & Tomita, Junichi & Matsumoto, Yoichi, 2018. "A review of the ecosystem concept — Towards coherent ecosystem design," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 49-58.
    Full references (including those not matched with items on IDEAS)

    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. Patrick Mikalef & Ilias O. Pappas & John Krogstie & Michail Giannakos, 2018. "Big data analytics capabilities: a systematic literature review and research agenda," Information Systems and e-Business Management, Springer, vol. 16(3), pages 547-578, August.
    2. Burger, Katharina & White, Leroy & Yearworth, Mike, 2019. "Developing a smart operational research with hybrid practice theories," European Journal of Operational Research, Elsevier, vol. 277(3), pages 1137-1150.
    3. Papanagnou, Christos & Seiler, Andreas & Spanaki, Konstantina & Papadopoulos, Thanos & Bourlakis, Michael, 2022. "Data-driven digital transformation for emergency situations: The case of the UK retail sector," International Journal of Production Economics, Elsevier, vol. 250(C).
    4. Tobias Wulfert & Robert Woroch & Gero Strobel & Thorsten Schoormann & Leonardo Banh, 2024. "E-commerce ecosystems as catalysts for sustainability: A multi-case analysis," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-21, December.
    5. Carmelina Bevilacqua & Pasquale Pizzimenti & Yapeng Ou, 2023. "Cities in Transition and Urban Innovation Ecosystems: Place and Innovation Dynamics in the Case of Boston and Cambridge (USA)," Sustainability, MDPI, vol. 15(18), pages 1-30, September.
    6. Malte Jütting, 2020. "Exploring Mission-Oriented Innovation Ecosystems for Sustainability: Towards a Literature-Based Typology," Sustainability, MDPI, vol. 12(16), pages 1-28, August.
    7. Acharya, Abhilash & Singh, Sanjay Kumar & Pereira, Vijay & Singh, Poonam, 2018. "Big data, knowledge co-creation and decision making in fashion industry," International Journal of Information Management, Elsevier, vol. 42(C), pages 90-101.
    8. Russell, Martha G. & Smorodinskaya, Nataliya V., 2018. "Leveraging complexity for ecosystemic innovation," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 114-131.
    9. Gomes, Leonardo Augusto de Vasconcelos & Flechas, Ximena Alejandra & Facin, Ana Lucia Figueiredo & Borini, Felipe Mendes, 2021. "Ecosystem management: Past achievements and future promises," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    10. Lütjen, Heiner & Schultz, Carsten & Tietze, Frank & Urmetzer, Florian, 2019. "Managing ecosystems for service innovation: A dynamic capability view," Journal of Business Research, Elsevier, vol. 104(C), pages 506-519.
    11. Gupta, Ranjit & Mejia, Cristian & Kajikawa, Yuya, 2019. "Business, innovation and digital ecosystems landscape survey and knowledge cross sharing," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 100-109.
    12. Aydiner, Arafat Salih & Tatoglu, Ekrem & Bayraktar, Erkan & Zaim, Selim & Delen, Dursun, 2019. "Business analytics and firm performance: The mediating role of business process performance," Journal of Business Research, Elsevier, vol. 96(C), pages 228-237.
    13. Alex Yang-chan Hsu & Brian King & Dan Wang & Dimitrios Buhalis, 2016. "In-destination tour products and the disrupted tourism industry: progress and prospects," Information Technology & Tourism, Springer, vol. 16(4), pages 413-433, December.
    14. Claudio Vitari & Elisabetta Raguseo, 2019. "Big data analytics business value and firm performance: Linking with environmental context," Post-Print hal-02293765, HAL.
    15. Yanzhang Gu & Longying Hu & Hongjin Zhang & Chenxuan Hou, 2021. "Innovation Ecosystem Research: Emerging Trends and Future Research," Sustainability, MDPI, vol. 13(20), pages 1-21, October.
    16. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Roubaud, David & Fosso Wamba, Samuel & Giannakis, Mihalis & Foropon, Cyril, 2019. "Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain," International Journal of Production Economics, Elsevier, vol. 210(C), pages 120-136.
    17. Morimura, Fumikazu & Sakagawa, Yuji, 2023. "The intermediating role of big data analytics capability between responsive and proactive market orientations and firm performance in the retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    18. Tatyana Tolstykh & Nadezhda Shmeleva & Leyla Gamidullaeva & Victoria Krasnobaeva, 2023. "The Role of Collaboration in the Development of Industrial Enterprises Integration," Sustainability, MDPI, vol. 15(9), pages 1-26, April.
    19. Marcon, Arthur & Ribeiro, Jose Luis Duarte, 2021. "How do startups manage external resources in innovation ecosystems? A resource perspective of startups’ lifecycle," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    20. Ashrafi, Amir & Zare Ravasan, Ahad & Trkman, Peter & Afshari, Samira, 2019. "The role of business analytics capabilities in bolstering firms’ agility and performance," International Journal of Information Management, Elsevier, vol. 47(C), pages 1-15.

    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:infsem:v:16:y:2018:i:3:d:10.1007_s10257-018-0377-z. 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.