IDEAS home Printed from https://ideas.repec.org/a/eee/bushor/v60y2017i3p405-414.html
   My bibliography  Save this article

Big data dreams: A framework for corporate strategy

Author

Listed:
  • Mazzei, Matthew J.
  • Noble, David

Abstract

The phenomenon of big data—large, diverse, complex, and/or longitudinal data sets—is having a stark influence on organizational strategy making. An increase in levels of data and technological capabilities is redefining innovation, competition, and productivity. This article contributes to both practical strategic application and academic research in the strategic management domain by presenting a framework that identifies how big data improves functional capabilities within organizations, shapes entirely new industries, and is a key component of innovative and disruptive strategies used by learning organizations to diversify and break down barriers of traditionally defined industries. This framework provides an appropriate basis for internal corporate strategy discussions that surround big data investments by explaining how firms create value through various approaches. In addition, we offer guidance for how firms might derive their own big data approach through the merits of aligning data strategy aspirations with data strategy authenticity.

Suggested Citation

  • Mazzei, Matthew J. & Noble, David, 2017. "Big data dreams: A framework for corporate strategy," Business Horizons, Elsevier, vol. 60(3), pages 405-414.
    • Handle: RePEc:eee:bushor:v:60:y:2017:i:3:p:405-414
    DOI: 10.1016/j.bushor.2017.01.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0007681317300101
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.bushor.2017.01.010?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. Vincenzo Morabito, 2015. "Big Data and Analytics," Springer Books, Springer, edition 127, number 978-3-319-10665-6, June.
    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. Tabesh, Pooya & Mousavidin, Elham & Hasani, Sona, 2019. "Implementing big data strategies: A managerial perspective," Business Horizons, Elsevier, vol. 62(3), pages 347-358.
    2. Li, Rui & Xu, Shoufu & Zhang, Yun, 2023. "Can digital transformation reduce within-firm pay inequality? Evidence from China," Economic Modelling, Elsevier, vol. 129(C).
    3. Swen Nadkarni & Reinhard Prügl, 2021. "Digital transformation: a review, synthesis and opportunities for future research," Management Review Quarterly, Springer, vol. 71(2), pages 233-341, April.
    4. Rajesh Chidananda Reddy & Biplab Bhattacharjee & Debasisha Mishra & Anandadeep Mandal, 2022. "A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy," Information Systems and e-Business Management, Springer, vol. 20(1), pages 223-255, March.
    5. Ciampi, Francesco & Demi, Stefano & Magrini, Alessandro & Marzi, Giacomo & Papa, Armando, 2021. "Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation," Journal of Business Research, Elsevier, vol. 123(C), pages 1-13.
    6. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
    7. Roger Moser & Srinath Rengarajan & Gopalakrishnan Narayanamurthy, 2021. "Decision Intelligence: Creating a Fit between Intelligence Requirements and Intelligence Processing Capacities," IIM Kozhikode Society & Management Review, , vol. 10(2), pages 160-177, July.
    8. J. Piet Hausberg & Kirsten Liere-Netheler & Sven Packmohr & Stefanie Pakura & Kristin Vogelsang, 2019. "Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis," Journal of Business Economics, Springer, vol. 89(8), pages 931-963, December.
    9. Nani, Albi, 2023. "Valuing big data: An analysis of current regulations and proposal of frameworks," International Journal of Accounting Information Systems, Elsevier, vol. 51(C).
    10. Blasco-Arcas, Lorena & Lee, Hsin-Hsuan Meg & Kastanakis, Minas N. & Alcañiz, Mariano & Reyes-Menendez, Ana, 2022. "The role of consumer data in marketing: A research agenda," Journal of Business Research, Elsevier, vol. 146(C), pages 436-452.
    11. 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).
    12. Liedong, Tahiru Azaaviele & Rajwani, Tazeeb & Lawton, Thomas C., 2020. "Information and nonmarket strategy: Conceptualizing the interrelationship between big data and corporate political activity," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    13. Nataša Đurđević & Aleksandra Labus & Dušan Barać & Miloš Radenković & Marijana Despotović-Zrakić, 2022. "An Approach to Assessing Shopper Acceptance of Beacon Triggered Promotions in Smart Retail," Sustainability, MDPI, vol. 14(6), pages 1-25, March.
    14. Venugopal Prabhakar Gantasala & Swapna Bhargavi Gantasala & Trinh La, 2022. "Influence of motivation on achieving energy sustainability: mediating effects of decision-making," Environment Systems and Decisions, Springer, vol. 42(4), pages 626-636, December.
    15. Osama Musa Ali Al-Darras & Cem Tanova, 2022. "From Big Data Analytics to Organizational Agility: What Is the Mechanism?," SAGE Open, , vol. 12(2), pages 21582440221, June.
    16. Andrea De Mauro & Marco Greco & Michele Grimaldi, 2019. "Understanding Big Data Through a Systematic Literature Review: The ITMI Model," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1433-1461, July.
    17. Federica Pascucci & Elisabetta Savelli & Giacomo Gistri, 2023. "How digital technologies reshape marketing: evidence from a qualitative investigation," Italian Journal of Marketing, Springer, vol. 2023(1), pages 27-58, March.
    18. Alberto Bertello & Alberto Ferraris & Stefano Bresciani & Paola Bernardi, 2021. "Big data analytics (BDA) and degree of internationalization: the interplay between governance of BDA infrastructure and BDA capabilities," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(4), pages 1035-1055, December.
    19. Katharina Cepa, 2021. "Understanding interorganizational big data technologies: How technology adoption motivations and technology design shape collaborative dynamics," Journal of Management Studies, Wiley Blackwell, vol. 58(7), pages 1761-1799, November.
    20. Yuli Marcela Suárez-Rico & Mauricio Gómez-Villegas & María Antonia García-Benau, 2018. "Exploring Twitter for CSR Disclosure: Influence of CEO and Firm Characteristics in Latin American Companies," Sustainability, MDPI, vol. 10(8), pages 1-19, July.
    21. Korayim, Diana & Chotia, Varun & Jain, Girish & Hassan, Sharfa & Paolone, Francesco, 2024. "How big data analytics can create competitive advantage in high-stake decision forecasting? The mediating role of organizational innovation," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    22. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
    23. Candice WALLS & Brian BARNARD, 2020. "Success Factors of Big Data to Achieve Organisational Performance: Theoretical Perspectives," Expert Journal of Business and Management, Sprint Investify, vol. 8(1), pages 1-16.
    24. Gordon Bowen & Dominic Appiah & Sebastian Okafor, 2020. "The Influence of Corporate Social Responsibility (CSR) and Social Media on the Strategy Formulation Process," Sustainability, MDPI, vol. 12(15), pages 1-13, July.

    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. Hashem, Ibrahim Abaker Targio & Chang, Victor & Anuar, Nor Badrul & Adewole, Kayode & Yaqoob, Ibrar & Gani, Abdullah & Ahmed, Ejaz & Chiroma, Haruna, 2016. "The role of big data in smart city," International Journal of Information Management, Elsevier, vol. 36(5), pages 748-758.
    2. Côrte-Real, Nadine & Oliveira, Tiago & Ruivo, Pedro, 2017. "Assessing business value of Big Data Analytics in European firms," Journal of Business Research, Elsevier, vol. 70(C), pages 379-390.
    3. Park, Jong-Hyun & Kim, Moon-Koo & Paik, Jong-Hyun, 2015. "The Factors of Technology, Organization and Environment Influencing the Adoption and Usage of Big Data in Korean Firms," 26th European Regional ITS Conference, Madrid 2015 127173, International Telecommunications Society (ITS).
    4. BARCEVICIUS Egidijus & CIBAITE Guonda & CODAGNONE Cristiano & GINEIKYTE Vaida & KLIMAVICIUTE Luka & LIVA Giovanni & MATULEVIC Loreta & MISURACA Gianluca & VANINI Irene, 2019. "Exploring Digital Government transformation in the EU," JRC Research Reports JRC118857, Joint Research Centre.
    5. Demetris Vrontis & Ranjan Chaudhuri & Sheshadri Chatterjee, 2022. "Adoption of Digital Technologies by SMEs for Sustainability and Value Creation: Moderating Role of Entrepreneurial Orientation," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    6. Vinicius Luiz Ferraz Minatogawa & Matheus Munhoz Vieira Franco & Izabela Simon Rampasso & Rosley Anholon & Ruy Quadros & Orlando Durán & Antonio Batocchio, 2019. "Operationalizing Business Model Innovation through Big Data Analytics for Sustainable Organizations," Sustainability, MDPI, vol. 12(1), pages 1-29, December.
    7. Alrik Brüning & Peter Gluchowski & Andre Kaiser, 2017. "Data Governance – Einordnung, Konzepte und aktuelle Herausforderungen," Chemnitz Economic Papers 015, Department of Economics, Chemnitz University of Technology.
    8. Yung Yau & Wai Kin Lau, 2018. "Big Data Approach as an Institutional Innovation to Tackle Hong Kong’s Illegal Subdivided Unit Problem," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    9. Muhammad Anwar & Sher Zaman Khan & Syed Zulfiqar Ali Shah, 2018. "Big Data Capabilities and Firm’s Performance: A Mediating Role of Competitive Advantage," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1-28, December.
    10. Soraya SEDKAOUI & Rafika Benaichouba, 2019. "How data analytics drive sharing economy business models?," Proceedings of International Academic Conferences 9911754, International Institute of Social and Economic Sciences.
    11. Roberto Moro Visconti & Donato Morea, 2019. "Big Data for the Sustainability of Healthcare Project Financing," Sustainability, MDPI, vol. 11(13), pages 1-17, July.
    12. Shahriar Akter & Katina Michael & Muhammad Rajib Uddin & Grace McCarthy & Mahfuzur Rahman, 2022. "Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics," Annals of Operations Research, Springer, vol. 308(1), pages 7-39, January.
    13. Lukić Jelena, 2017. "Transformation of Coordination Mechanisms in Companies Due to New Technologies: Evidence from Empirical Research," Economic Themes, Sciendo, vol. 55(3), pages 421-436, September.
    14. Paul Brous & Marijn Janssen, 2020. "Trusted Decision-Making: Data Governance for Creating Trust in Data Science Decision Outcomes," Administrative Sciences, MDPI, vol. 10(4), pages 1-19, October.
    15. Angeloni, Silvia, 2016. "A tourist kit ‘made in Italy’: An ‘intelligent’ system for implementing new generation destination cards," Tourism Management, Elsevier, vol. 52(C), pages 187-209.

    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:eee:bushor:v:60:y:2017:i:3:p:405-414. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/bushor .

    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.