IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v193y2023ics0040162523002974.html
   My bibliography  Save this article

Big data analytics and e-governance: Actors, opportunities, tensions, and applications

Author

Listed:
  • Abuljadail, Mohammad
  • Khalil, Ashraf
  • Talwar, Shalini
  • Kaur, Puneet

Abstract

We present a systematic review of peer-reviewed articles, empirical as well as conceptual, investigating the integration of big data analytics in e-governance within business management, decision sciences, social sciences, and policy literature. Our primary objective in undertaking this review is to better understand the competing and conflicting scholarly perspectives on the integration of big data analytics in the delivery of governance, public services, and evidence-based policymaking. We focus particularly on a critical assessment of the literature to identify visible as well as less perceptible gaps in extant research to set a comprehensive future research agenda. In addition, we also aim to dig deeper into the landscape of the available research in terms of the volume of scientific production and other bibliometric characteristics to gauge the extent and nature of scholarly engagement with the area to inform future research. To these ends, we executed our systematic review through a four-step process of scoping, specification and execution of search protocols, short-listing of congruent literature, and quantitative and qualitative data analysis. In all, we identified 45 articles that attended to big data analytics and e-governance as the core concerns or themes. Our analysis generated four pillars on which the academic contributions in the area rest: actors, opportunities, tensions, and applications. We critically synthesized the findings around these four pillars to map the gaps and develop potential research questions that future researchers can address to expand the evidence and insights in the area to influence policy and governance.

Suggested Citation

  • Abuljadail, Mohammad & Khalil, Ashraf & Talwar, Shalini & Kaur, Puneet, 2023. "Big data analytics and e-governance: Actors, opportunities, tensions, and applications," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:tefoso:v:193:y:2023:i:c:s0040162523002974
    DOI: 10.1016/j.techfore.2023.122612
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162523002974
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2023.122612?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. Janssen, Marijn & van der Voort, Haiko & Wahyudi, Agung, 2017. "Factors influencing big data decision-making quality," Journal of Business Research, Elsevier, vol. 70(C), pages 338-345.
    2. Lisa A. Schweitzer & Nader Afzalan, 2017. "09 F9 11 02 9D 74 E3 5B D8 41 56 C5 63 56 88 C0: Four Reasons Why AICP Needs an Open Data Ethic," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(2), pages 161-167, April.
    3. Marijn Janssen & Nripendra P. Rana & Emma L. Slade & Yogesh K. Dwivedi, 2018. "Trustworthiness of digital government services: deriving a comprehensive theory through interpretive structural modelling," Public Management Review, Taylor & Francis Journals, vol. 20(5), pages 647-671, May.
    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. Dean Curran & Alan Smart, 2021. "Data-driven governance, smart urbanism and risk-class inequalities: Security and social credit in China," Urban Studies, Urban Studies Journal Limited, vol. 58(3), pages 487-506, February.
    6. Ruben Sánchez-Corcuera & Adrián Nuñez-Marcos & Jesus Sesma-Solance & Aritz Bilbao-Jayo & Rubén Mulero & Unai Zulaika & Gorka Azkune & Aitor Almeida, 2019. "Smart cities survey: Technologies, application domains and challenges for the cities of the future," International Journal of Distributed Sensor Networks, , vol. 15(6), pages 15501477198, June.
    7. Roger Stough & Dennis McBride, 2014. "Big Data and U.S. Public Policy," Review of Policy Research, Policy Studies Organization, vol. 31(4), pages 339-342, July.
    8. Charlotte van Ooijen & Barbara Ubaldi & Benjamin Welby, 2019. "A data-driven public sector: Enabling the strategic use of data for productive, inclusive and trustworthy governance," OECD Working Papers on Public Governance 33, OECD Publishing.
    9. Youngseok Choi & Habin Lee & Zahir Irani, 2018. "Big data-driven fuzzy cognitive map for prioritising IT service procurement in the public sector," Annals of Operations Research, Springer, vol. 270(1), pages 75-104, November.
    10. Muhammad Anshari & Syamimi Ariff Lim, 2017. "E-Government with Big Data Enabled through Smartphone for Public Services: Possibilities and Challenges," International Journal of Public Administration, Taylor & Francis Journals, vol. 40(13), pages 1143-1158, November.
    11. Talwar, Shalini & Talwar, Manish & Kaur, Puneet & Dhir, Amandeep, 2020. "Consumers’ resistance to digital innovations: A systematic review and framework development," Australasian marketing journal, Elsevier, vol. 28(4), pages 286-299.
    12. Chaudhary, Sanjay & Kaur, Puneet & Talwar, Shalini & Islam, Nazrul & Dhir, Amandeep, 2022. "Way off the mark? Open innovation failures: Decoding what really matters to chart the future course of action," Journal of Business Research, Elsevier, vol. 142(C), pages 1010-1025.
    13. Bram Klievink & Bart-Jan Romijn & Scott Cunningham & Hans Bruijn, 2017. "Big data in the public sector: Uncertainties and readiness," Information Systems Frontiers, Springer, vol. 19(2), pages 267-283, April.
    14. Shalini Talwar & Puneet Kaur & Samuel Fosso Wamba & Amandeep Dhir, 2021. "Big Data in operations and supply chain management: a systematic literature review and future research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 59(11), pages 3509-3534, June.
    15. Rianne Dekker & Juan Franco Contreras & Albert Meijer, 2020. "The Living Lab as a Methodology for Public Administration Research: a Systematic Literature Review of its Applications in the Social Sciences," International Journal of Public Administration, Taylor & Francis Journals, vol. 43(14), pages 1207-1217, October.
    16. Luqman, Adeel & Talwar, Shalini & Masood, Ayesha & Dhir, Amandeep, 2021. "Does enterprise social media use promote employee creativity and well-being?," Journal of Business Research, Elsevier, vol. 131(C), pages 40-54.
    17. Gianluca Misuraca & Francesco Mureddu & David Osimo, 2014. "Policy-Making 2.0: Unleashing the Power of Big Data for Public Governance," Public Administration and Information Technology, in: Mila Gascó-Hernández (ed.), Open Government, edition 127, pages 171-188, Springer.
    18. Elvira Ismagilova & Laurie Hughes & Nripendra P. Rana & Yogesh K. Dwivedi, 2022. "Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework," Information Systems Frontiers, Springer, vol. 24(2), pages 393-414, April.
    19. Ju, Jingrui & Liu, Luning & Feng, Yuqiang, 2018. "Citizen-centered big data analysis-driven governance intelligence framework for smart cities," Telecommunications Policy, Elsevier, vol. 42(10), pages 881-896.
    20. Kaur, Puneet & Talwar, Shalini & Madanaguli, Arun & Srivastava, Shalini & Dhir, Amandeep, 2022. "Corporate social responsibility (CSR) and hospitality sector: Charting new frontiers for restaurant businesses," Journal of Business Research, Elsevier, vol. 144(C), pages 1234-1248.
    21. Sarah Giest, 2017. "Big data for policymaking: fad or fasttrack?," Policy Sciences, Springer;Society of Policy Sciences, vol. 50(3), pages 367-382, September.
    22. Alex Ingrams, 2019. "Big Data and Dahl’s Challenge of Democratic Governance," Review of Policy Research, Policy Studies Organization, vol. 36(3), pages 357-377, May.
    23. Anne L. Washington, 2014. "Government Information Policy in the Era of Big Data," Review of Policy Research, Policy Studies Organization, vol. 31(4), pages 319-325, July.
    24. ElMassah, Suzanna & Mohieldin, Mahmoud, 2020. "Digital transformation and localizing the Sustainable Development Goals (SDGs)," Ecological Economics, Elsevier, vol. 169(C).
    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. Lyulyov, Oleksii & Pimonenko, Tetyana & Saura, Jose Ramon & Barbosa, Belem, 2024. "How do e-governance and e-business drive sustainable development goals?," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    2. Zhao, Guoqing & Xie, Xiaotian & Wang, Yi & Liu, Shaofeng & Jones, Paul & Lopez, Carmen, 2024. "Barrier analysis to improve big data analytics capability of the maritime industry: A mixed-method approach," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    3. 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).

    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. Chaudhary, Sanjay & Kaur, Puneet & Ferraris, Alberto & Bresciani, Stefano & Dhir, Amandeep, 2024. "Connecting entrepreneurial ecosystem and innovation. Grasping at straws or hitting a home run?," Technovation, Elsevier, vol. 130(C).
    2. Md Altab Hossin & Jie Du & Lei Mu & Isaac Owusu Asante, 2023. "Big Data-Driven Public Policy Decisions: Transformation Toward Smart Governance," SAGE Open, , vol. 13(4), pages 21582440231, December.
    3. Roel Heijlen & Joep Crompvoets & Geert Bouckaert & Maxim Chantillon, 2018. "Evolving Government Information Processes for Service Delivery: Identifying Types & Impact," Administrative Sciences, MDPI, vol. 8(2), pages 1-14, May.
    4. Bamel, Umesh & Talwar, Shalini & Pereira, Vijay & Corazza, Laura & Dhir, Amandeep, 2023. "Disruptive digital innovations in healthcare: Knowing the past and anticipating the future," Technovation, Elsevier, vol. 125(C).
    5. Madanaguli, Arun & Dhir, Amandeep & Talwar, Shalini & Clauss, Thomas & Kraus, Sascha & Kaur, Puneet, 2023. "Diving into the uncertainties of open innovation: A systematic review of risks to uncover pertinent typologies and unexplored horizons," Technovation, Elsevier, vol. 119(C).
    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. Ciampi, Francesco & Faraoni, Monica & Ballerini, Jacopo & Meli, Francesco, 2022. "The co-evolutionary relationship between digitalization and organizational agility: Ongoing debates, theoretical developments and future research perspectives," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    8. Hui Zhang & Huiying Ding & Jianying Xiao, 2023. "How Organizational Agility Promotes Digital Transformation: An Empirical Study," Sustainability, MDPI, vol. 15(14), pages 1-13, July.
    9. 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).
    10. Marijn Janssen & David Konopnicki & Jane L. Snowdon & Adegboyega Ojo, 2017. "Driving public sector innovation using big and open linked data (BOLD)," Information Systems Frontiers, Springer, vol. 19(2), pages 189-195, April.
    11. Marijn Janssen & David Konopnicki & Jane L. Snowdon & Adegboyega Ojo, 0. "Driving public sector innovation using big and open linked data (BOLD)," Information Systems Frontiers, Springer, vol. 0, pages 1-7.
    12. Abdul Karim Feroz & Hangjung Zo & Ananth Chiravuri, 2021. "Digital Transformation and Environmental Sustainability: A Review and Research Agenda," Sustainability, MDPI, vol. 13(3), pages 1-20, February.
    13. Brinch, Morten & Gunasekaran, Angappa & Fosso Wamba, Samuel, 2021. "Firm-level capabilities towards big data value creation," Journal of Business Research, Elsevier, vol. 131(C), pages 539-548.
    14. Kaur, Puneet & Talwar, Shalini & Madanaguli, Arun & Srivastava, Shalini & Dhir, Amandeep, 2022. "Corporate social responsibility (CSR) and hospitality sector: Charting new frontiers for restaurant businesses," Journal of Business Research, Elsevier, vol. 144(C), pages 1234-1248.
    15. Ashaari, Mohamed Azlan & Singh, Karpal Singh Dara & Abbasi, Ghazanfar Ali & Amran, Azlan & Liebana-Cabanillas, Francisco J., 2021. "Big data analytics capability for improved performance of higher education institutions in the Era of IR 4.0: A multi-analytical SEM & ANN perspective," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    16. Pan, Qiaohong & Luo, Wenping & Fu, Yi, 2022. "A csQCA study of value creation in logistics collaboration by big data: A perspective from companies in China," Technology in Society, Elsevier, vol. 71(C).
    17. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "Towards a business analytics capability for the circular economy," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    18. Nam, Dalwoo & Lee, Junyeong & Lee, Heeseok, 2019. "Business analytics use in CRM: A nomological net from IT competence to CRM performance," International Journal of Information Management, Elsevier, vol. 45(C), pages 233-245.
    19. En-Gir Kim & Se-Hak Chun, 2019. "Analyzing Online Car Reviews Using Text Mining," Sustainability, MDPI, vol. 11(6), pages 1-22, March.
    20. Brandt, Tobias & Wagner, Sebastian & Neumann, Dirk, 2021. "Prescriptive analytics in public-sector decision-making: A framework and insights from charging infrastructure planning," European Journal of Operational Research, Elsevier, vol. 291(1), pages 379-393.

    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:tefoso:v:193:y:2023:i:c:s0040162523002974. 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.sciencedirect.com/science/journal/00401625 .

    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.