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

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  • 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
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    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. Sarah Giest, 2017. "Big data for policymaking: fad or fasttrack?," Policy Sciences, Springer;Society of Policy Sciences, vol. 50(3), pages 367-382, September.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. ElMassah, Suzanna & Mohieldin, Mahmoud, 2020. "Digital transformation and localizing the Sustainable Development Goals (SDGs)," Ecological Economics, Elsevier, vol. 169(C).
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