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Research Articles

A Literature Overview on Data-Driven Value and Accountability: Connecting the Private and Public Dimensions

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References

  • Akter, S., Babu, M. M., Hossain, M. A., & Hani, U. (2022). Value co-creation on a shared healthcare platform: Impact on service innovation, perceived value and patient welfare. Journal of Business Research, 140, 95–106. https://doi.org/10.1016/j.jbusres.2021.11.077
  • Alemanno, A. (2018). Big data for good: Unlocking privately-held data to the benefit of the many. European Journal of Risk Regulation, 9(2), 183–191. https://doi.org/10.1017/err.2018.34
  • Andrews, L. (2019). Public administration, public leadership and the construction of public value in the age of the algorithm and ‘big data’. Public Administration, 97(2), 296–310. https://doi.org/10.1111/padm.12534
  • Appio, F. P., Cesaroni, F., & Di Minin, A. (2014). Visualizing the structure and bridges of the intellectual property management and strategy literature: A document co-citation analysis. Scientometrics, 101(1), 623–661. https://doi.org/10.1007/s11192-014-1329-0
  • Aquilani, B., Piccarozzi, M., Abbate, T., & Codini, A. (2020). The role of open innovation and value co-creation in the challenging transition from industry 4.0 to society 5.0: Toward a theoretical framework. Sustainability, 12(21), 8921–8943. https://doi.org/10.3390/su12218943
  • Aschemann-Witzel, J., Perez-Cueto, F. J., Niedzwiedzka, B., Verbeke, W., & Bech-Larsen, T. (2012). Transferability of private food marketing success factors to public food and health policy: An expert Delphi survey. Food Policy. 37(6), 650–660. https://doi.org/10.1016/j.foodpol.2012.06.006
  • Bozeman, B. (2007). Public values and public interest: Counterbalancing economic individualism. Georgetown University Press.
  • Boyd, D., & Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, Communication & Society, 15(5), 662–679. https://doi.org/10.1080/1369118X.2012.678878
  • Bracci, E. (2017). Accountability e trasparenza nella PA: tra retorica e realtà. Azienda Pubblica, 4, 333–348.
  • Breidbach, C. F., & Maglio, P. (2020). Accountable algorithms? The ethical implications of data-driven business models. Journal of Service Management, 31(2), 163–185. https://doi.org/10.1108/JOSM-03-2019-0073
  • Brown, A., et al. (2019). Toward algorithmic accountability in public services: A qualitative study of affected community perspectives on algorithmic decision-making in child welfare services. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems 1–12. May 4–9, 2019, Glasgow, Scotland UK. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3290605.3300271
  • Chierici, R., Mazzucchelli, A., Garcia-Perez, A., & Vrontis, D. (2019). Transforming big data into knowledge: The role of knowledge management practice. Management Decision, 57(8), 1902–1922. https://doi.org/10.1108/MD-07-2018-0834
  • Clark, W. R., & Golder, M. (2015). Big data, causal inference, and formal theory: Contradictory trends in political science? PS: Political Science & Politics, 48(01), 65–70. https://doi.org/10.1017/S1049096514001759
  • Clarke, A. (2020). Digital government units: What are they, and what do they mean for digital era public management renewal? International Public Management Journal, 23(3), 358–379. https://doi.org/10.1080/10967494.2019.1686447
  • Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the fuzzy sets theory field. Journal of Informetrics, 5(1), 146–166. https://doi.org/10.1016/j.joi.2010.10.002
  • Cronemberger, F., & Gil-Garcia, J. R. (2019). Big data and analytics as strategies to generate public value in smart cities: Proposing an integrative framework. In Setting foundations for the creation of public value in smart cities. (pp. 247–267) Springer.
  • Crooks, R. (2021). Productive myopia: Racialized organizations and edtech. Big Data & Society, 8(2), 205395172110504–205395172110516. https://doi.org/10.1177/20539517211050499
  • Dawes, S. S., Vidiasova, L., & Parkhimovich, O. (2016). Planning and designing open government data programs: An ecosystem approach. Government Information Quarterly, 33(1), 15–27. https://doi.org/10.1016/j.giq.2016.01.003
  • De Mauro, A., Greco, M., & Grimaldi, M. (2016). A formal definition of big data based on its essential features. Library Review, 65(3), 122–135. https://doi.org/10.1108/LR-06-2015-0061
  • Di Vaio, A., Hassan, R., & Alavoine, C. (2022). Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness. Technological Forecasting and Social Change, 174(4), 121201–121217. https://doi.org/10.1016/j.techfore.2021.121201
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
  • Dragicevic, N., Ullrich, A., Tsui, E., & Gronau, N. (2020). A conceptual model of knowledge dynamics in the industry 4.0 smart grid scenario. Knowledge Management Research & Practice, 18(2), 199–213. https://doi.org/10.1080/14778238.2019.1633893
  • Dubnick, M. J. (2003). Accountability through thick and thin: Preliminary explorations. Institute of Governance Public Policy and Social Research. Queen’s University.
  • Dunleavy, P. (2009). Governance and state organization in the digital era. In C. Avgerou, R. Mansell, D. Quah, & R. Silverstone (Eds.). The Oxford handbook of information and communication technologies. Oxford University Press.
  • European Data Protection Board (2022). Available at: https://www.edpb.europa.eu
  • Edwards, D., Cheng, M., Wong, I. A., Zhang, J., & Wu, Q. (2017). Ambassadors of knowledge sharing: Co-produced travel information through tourist-local social media exchange. International Journal of Contemporary Hospitality Management, 29(2), 690–708. https://doi.org/10.1108/IJCHM-10-2015-0607
  • Elgendy, N., & Elragal, A. (2014). Big data analytics: A literature review paper. In Industrial conference on data mining. (pp. 214–227) Springer.
  • Esposito, P., & Ricci, P. (2015). How to turn public (dis)value into new public value? Evidence from Italy. Public Money & Management, 35(3), 227–231. https://doi.org/10.1080/09540962.2015.1027499
  • Eubanks, V. (2017). Automating inequality: How high-tech tools profile, police, and punish the poor. St Martin’s Press.
  • European Commission (2020). Towards a European Strategy on Business-to-Government Data Sharing for the Public Interest Final Report Prepared by the High-Level Expert Group on Business-to-Government Data Sharing, Publication Office, Luxembourg.
  • European Commission (2021). Public Sector Modernisation for EU Recovery and Resilience, https://ec.europa.eu/jrc/en/science-update/public-sector-modernisation-eu-recovery-and-resilience (accessed 16 June 2022).
  • European Commission (2022). Proposal for a Regulation of the European Parliament and of the Council on harmonised rules on fair access to and use of data, Brussels 23 february 2022, COM(2022) 68 final, 2022/0047 (COD).
  • Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, web of science, and Google scholar: Strengths and weaknesses. FASEB Journal : official Publication of the Federation of American Societies for Experimental Biology, 22(2), 338–342. https://doi.org/10.1096/fj.07-9492LSF
  • Fischer, F., & Gottweis, H. (2013). The argumentative turn in public policy revisited: Twenty years later. Critical Policy Studies, 7(4), 425–433. https://doi.org/10.1080/19460171.2013.851164
  • Fobia, A. C., Holzberg, J., Eggleston, C., Childs, J. H., Marlar, J., & Morales, G. (2019). Attitudes towards data linkage for evidence-based policymaking. Public Opinion Quarterly, 83(S1), 264–279. https://doi.org/10.1093/poq/nfz008
  • Faroukhi, A. Z., El Alaoui, I., Gahi, Y., & Amine, A. (2020). An adaptable big data value chain framework for end-to-end big data monetization. Big Data and Cognitive Computing, 4(4)34, 27–34. https://doi.org/10.3390/bdcc4040034
  • Fung, A. (2013). Infotopia: Unleashing the democratic power of transparency. Politics & Society, 41(2), 183–212. https://doi.org/10.1177/0032329213483107
  • George, G., Haas, M. R., & Pentland, A. (2014). Big data and management. Academy of Management Journal, 57(2), 321–326. https://doi.org/10.5465/amj.2014.4002
  • Giordano, F., Mussari, R., & Caputo, F. (2014). Managing services and voicing public values: The water sector in Italy. In Governance and Public Management. (pp. 96–113). Routledge.
  • Günther, W. A., Mehrizi, M. H. R., Huysman, M., & Feldberg, F. (2017). Debating big data: A literature review on realizing value from big data. The Journal of Strategic Information Systems, 26(3), 191–209. https://doi.org/10.1016/j.jsis.2017.07.003
  • Guthrie, J., Ricceri, F., & Dumay, J. (2012). Reflections and projections: A decade of intellectual capital accounting research. The British Accounting Review, 44(2), 68–82. https://doi.org/10.1016/j.bar.2012.03.004
  • Harzing, A. W. K., & Van der Wal, R. (2008). Google Scholar as a new source for citation analysis. Ethics in Science and Environmental Politics, 8(1), 61–73. https://doi.org/10.3354/esep00076
  • Helbing, D., Fanitabasi, F., Giannotti, F., Hänggli, R., Hausladen, C. I., van den Hoven, J., Pedreschi, D., & Pournaras, E. (2021). Ethics of smart cities: Towards value-sensitive design and co-evolving city life. Sustainability, 13(20), 11125–11162. https://doi.org/10.3390/su132011162
  • Hitz-Gamper, B. S., Neumann, O., & Stürmer, M. (2019). Balancing control, usability and visibility of linked open government data to create public value. International Journal of Public Sector Management, 32(5), 451–466. https://doi.org/10.1108/IJPSM-02-2018-0062
  • Hossain, M. N., Talukder, M. S., Hoque, M. R., & Bao, Y. (2018). The use of open government data to citizen empowerment: An empirical validation of a proposed model. Foresight, 20(6), 665–680. https://doi.org/10.1108/FS-03-2018-0027
  • Hu, M. (2015). Big data blacklisting. Florida Law Review, 67, 1735–1809.
  • Jamieson, D., Wilson, R., & Martin, M. (2019). The (im)possibilities of open data? Public Money & Management, 39(5), 364–368. https://doi.org/10.1080/09540962.2019.1611240
  • Janssen, M., Brous, P., Estevez, E., Barbosa, L. S., & Janowski, T. (2020). Data governance: Organizing data for trustworthy artificial intelligence. Government Information Quarterly, 37(3), 101493. https://doi.org/10.1016/j.giq.2020.101493
  • Jarke, J. (2019). Open government for all? Co-creating digital public services for older adults through data walks. Online Information Review, 43(6), 1003–1020. https://doi.org/10.1108/OIR-02-2018-0059
  • Jarvis, M. D., & Levasseur, K. (2015). The (Im?)possibility of horizontal accountability. In The Annual Meeting of the Canadian Association of Programs in Public Administration. May 25 - 26, Glendon College, York University, Toronto, ON.
  • Jayashankar, P., Johnston, W. J., Nilakanta, S., & Burres, R. (2019). Co-creation of value-in-use through big data technology-a B2B agricultural perspective. Journal of Business & Industrial Marketing, 35(3), 508–523. https://doi.org/10.1108/JBIM-12-2018-0411
  • Jean-Quartier, C., Rey Mazón, M., Lovrić, M., & Stryeck, S. (2022). Collaborative data use between private and public stakeholders – A regional case study. Data, 7(2)20, 14–20. https://doi.org/10.3390/data7020020
  • Jordan, S. R. (2014). Beneficence and the expert bureaucracy: Ethics for the future of big data governance. Public Integrity, 16(4), 375–394. https://doi.org/10.2753/PIN1099-9922160404
  • Jurkiewicz, C. L. (2018). Big data, big concerns: Ethics in the digital age. Public Integrity, 20(sup1), S46–S59. https://doi.org/10.1080/10999922.2018.1448218
  • Kelly, G., Mulgan, G., & Muers, S. (2002). Creating public value. Cabinet Office.
  • Kempeneer, S. (2021). A big data state of mind: Epistemological challenges to accountability and transparency in data-driven regulation. Government Information Quarterly, 38(3), 101578. https://doi.org/10.1016/j.giq.2021.101578
  • Klievink, B., Romijn, B. J., Cunningham, S., & de Bruijn, H. (2017). Big data in the public sector: Uncertainties and readiness. Information Systems Frontiers, 19(2), 267–283. https://doi.org/10.1007/s10796-016-9686-2
  • Knowles, S. E., Allen, D., Donnelly, A., Flynn, J., Gallacher, K., Lewis, A., McCorkle, G., Mistry, M., Walkington, P., & Brunton, L. (2022). Participatory co-design of patient involvement in a learning health system: How can data‐driven care be patient‐driven care? Health Expectations : An International Journal of Public Participation in Health Care and Health Policy, 25(1), 103–115. https://doi.org/10.1111/hex.13345
  • Koliba, C. J., Mills, R. M., & Zia, A. (2011). Accountability in governance networks: An assessment of public, private, and nonprofit emergency management practices following Hurricane Katrina. Public Administration Review, 71(2), 210–220. https://doi.org/10.1111/j.1540-6210.2011.02332.x
  • König, P. D., & Wenzelburger, G. (2021). The legitimacy gap of algorithmic decision-making in the public sector: Why it arises and how to address it. Technology in Society, 67, 101688. https://doi.org/10.1016/j.techsoc.2021.101688
  • Kunz, W., Aksoy, L., Bart, Y., Heinonen, K., Kabadayi, S., Ordenes, F. V., Sigala, M., Diaz, D., & Theodoulidis, B. (2017). Customer engagement in a big data world. Journal of Services Marketing, 31(2), 161–171. https://doi.org/10.1108/JSM-10-2016-0352
  • Imine, Y., Lounis, A., & Bouabdallah, A. (2020). An accountable privacy-preserving scheme for public information sharing systems. Computers & Security, 93(, 101716–101786. https://doi.org/10.1016/j.cose.2020.101786
  • Lavertu, S. (2016). We all need help: “Big data” and the mismeasure of public administration. Public Administration Review, 76(6), 864–872. https://doi.org/10.1111/puar.12436
  • Lim, C., Kim, M. J., Kim, K. H., Kim, K. J., & Maglio, P. (2019). Customer process management: A framework for using customer-related data to create customer value. Journal of Service Management, 30(1), 105–131. https://doi.org/10.1108/JOSM-02-2017-0031
  • Line, N. D., Dogru, T., El-Manstrly, D., Buoye, A., Malthouse, E., & Kandampully, J. (2020). Control, use and ownership of big data: A reciprocal view of customer big data value in the hospitality and tourism industry. Tourism Management, 80, 104106. https://doi.org/10.1016/j.tourman.2020.104106
  • Liu, H. W., Lin, C.-F., & Chen, Y. J. (2019). Beyond state v. Loomis: Artificial intelligence, government algorithmization, and accountability. International Journal of Law and Information Technology, 27(2), 122–141. https://doi.org/10.1093/ijlit/eaz001
  • Lněnička, M., Nikiforova, A., Saxena, S., & Singh, P. (2022). Investigation into the adoption of open government data among students: The behavioural intention-based comparative analysis of three countries. Aslib Journal of Information Management, 74(3), 549–567. https://doi.org/10.1108/AJIM-08-2021-0249
  • Lodge, M., & Wegrich, K. (2014). Setting the scene: Challenges to the state, governance readiness, and administrative capacities. In M. Lodge & K. Wegrich (Eds.), The governance report. (pp. 15–26). OxfordUniversity Press.
  • Löfgren, K., & Webster, C. W. R. (2020). The value of big data in government: The case of ‘smart cities’. Big Data & Society, 7(1), 205395172091214–205395172091277. https://doi.org/10.1177/2053951720912775
  • Luo, J., Wu, M., Gopukumar, D., & Zhao, Y. (2016). Big data application in biomedical research and health care: A literature review, biomedical informatics insights. 8, 1–10. https://doi.org/10.4137/BII.S31559
  • Máchová, R., Hub, M., & Lnenicka, M. (2018). Usability evaluation of open data portals. Aslib Journal of Information Management, 70(3), 252–268. https://doi.org/10.1108/AJIM-02-2018-0026
  • Marzi, G., Dabíc, M., Daim, T., & Garces, E. (2017). Product and process innovation in manufacturing firms: A 30-year bibliometric analysis. Scientometrics, 113(2), 673–704. https://doi.org/10.1007/s11192-017-2500-1
  • McAfee, A., & Brynjolfsson, E. (2012). Big data. The management revolution. Harvard Business Review, 90(10), 61–67.
  • Mele, C., Russo Spena, T., Kaartemo, V., & Marzullo, M. L. (2021). Smart nudging: How cognitive technologies enable choice architectures for value co-creation. Journal of Business Research, 129(C), 949–960. https://doi.org/10.1016/j.jbusres.2020.09.004
  • Mergel, I., Rethemeyer, R. K., & Isett, K. (2016). Big data in public affairs. Public Administration Review, 76(6), 928–937. https://doi.org/10.1111/puar.12625
  • Mohamed, M., Pillutla, S., & Tomasi, S. (2020). Extraction of knowledge from open government data: The knowledge iterative value network framework. VINE Journal of Information and Knowledge Management Systems, 50(3), 495–511. https://doi.org/10.1108/VJIKMS-05-2019-0065
  • Moore, M. (1995). Creating public value. Harvard University Press.
  • Moro Visconti, R., & Morea, D. (2019). Big data for the sustainability of healthcare project financing. Sustainability, 11(13)(1), 3717–3748. https://doi.org/10.3390/su11133748
  • OECD (2019). Enhancing Access to and Sharing of Data: Reconciling Risks and Benefits for Data Re-use across Societies. OECD Publishing.
  • OECD (2020). Government access to personal data held by the private sector: Statement by the OECD Committee on Digital Economy Policy, https://www.oecd.org/digital/trusted-government-access-personal-data-private-sector.htm
  • Page, S. B., Stone, M. M., Bryson, J. M., & Crosby, B. C. (2015). Public value creation by cross-sector collaborations: A framework and challenges of assessment. Public Administration, 93(3), 715–732. https://doi.org/10.1111/padm.12161
  • Pasquale, F. (2015). The black box society. Harvard University Press.
  • Pirog, M. A. (2014). Data will drive innovation in public policy and management research. Journal of Policy Analysis and Management, 33(2), 537–543. http://www.jstor.org/stable/24033344. https://doi.org/10.1002/pam.21752
  • Pollitt, C. (2012). Time, policy, management: Governing with the past. Oxford University Press.
  • Rasche, A., Morsing, M., & Wetter, E. (2021). Assessing the legitimacy of “open” and “closed” data partnerships for sustainable development. Business & Society, 60(3), 547–581. https://doi.org/10.1177/0007650319825876
  • Redden, J. (2018). Democratic governance in an age of datafication: Lessons from mapping government discourses and practices. Big Data & Society, 5(2), 205395171880913–205395171880914. https://doi.org/10.1177/2053951718809145
  • Regan, P. M., & Monahan, T. (2014). Fusion center accountability and intergovernmental information sharing. Publius: The Journal of Federalism, 44(3), 475–498. https://doi.org/10.1093/publius/pju016
  • Ricci, P. (2016). Accountability. In Farazmand, A. (Ed.), Global Encyclopedia of Public Administration, Public Policy and Governance., Springer International Publishing.
  • Riikkinen, M., Saarijärvi, H., Sarlin, P., & Lähteenmäki, I. (2018). Using artificial intelligence to create value in insurance. International Journal of Bank Marketing, 36(6), 1145–1168. https://doi.org/10.1108/IJBM-01-2017-0015
  • Rissman, A. R., Morris, A. W., Kalinin, A., Kohl, P. A., Parker, D. P., & Selles, O. (2019). Private organizations, public data: Land trust choices about mapping conservation easements. Land Use Policy, 89, 104221. https://doi.org/10.1016/j.landusepol.2019.104221
  • Romanelli, M. (2018). Museums creating value and developing intellectual capital by technology: From virtual environments to big data. Meditari Accountancy Research, 26(3), 483–498. https://doi.org/10.1108/MEDAR-10-2017-0225
  • Saxena, S. (2018a). Drivers and barriers towards re-using open government data (OGD): A case study of open data initiative in Oman. Foresight, 20(2), 206–218. https://doi.org/10.1108/FS-10-2017-0060
  • Saxena, S. (2018b). National open data frames across Japan, The Netherlands and Saudi Arabia: Role of culture. Foresight, 20(1), 123–134. https://doi.org/10.1108/FS-07-2017-0038
  • Saxena, S., & Muhammad, I. (2018). The impact of open government data on accountability and transparency. Journal of Economic and Administrative Sciences, 34(3), 204–216. https://doi.org/10.1108/JEAS-05-2017-0044
  • Shah, N., Viberg Johansson, J., Haraldsdóttir, E., Bentzen, H. B., Coy, S., Mascalzoni, D., Jónsdóttir, G. A., & Kaye, J. (2021). Governing health data across changing contexts: A focus group study of citizen’s views in England, Iceland, and Sweden. International Journal of Medical Informatics, 156(, 104623–104628. https://doi.org/10.1016/j.ijmedinf.2021.104623
  • Singh, N. (2019). Big data technology: Developments in current research and emerging landscape. Enterprise Information Systems, 13(6), 801–831. https://doi.org/10.1080/17517575.2019.1612098
  • Schiavone, F., Leone, D., Sorrentino, A., & Scaletti, A. (2020). Re-designing the service experience in the value co-creation process: An exploratory study of a healthcare network. Business Process Management Journal, 26(4), 889–908. https://doi.org/10.1108/BPMJ-11-2019-0475
  • Schulz, T., Gewald, H., Böhm, M., & Krcmar, H. (2020). Smart mobility: Contradictions in value co-creation. Information Systems Frontiers, 1–21. https://doi.org/10.1007/s10796-020-10055-y
  • Seo, H., & Myeong, S. (2021). Determinant factors for adoption of government as a platform in South Korea: Mediating effects on the perception of intelligent information technology. Sustainability, 13(18), 10420–10464. https://doi.org/10.3390/su131810464
  • Shan, W., Qiao, T., & Zhang, M. (2020). Getting more resources for better performance: The effect of user-owned resources on the value of user-generated content. Technological Forecasting and Social Change, 161, 120318. https://doi.org/10.1016/j.techfore.2020.120318
  • Sleigh, J., & Vayena, E. (2021). Public engagement with health data governance: The role of visuality. Humanities and Social Sciences Communications, 8(1), 1–12. https://doi.org/10.1057/s41599-021-00826-6
  • Starr, S. (2016). The odds of justice: Actuarial risk prediction and the criminal justice system. Chance, 29(1), 49–51. https://doi.org/10.1080/09332480.2016.1156368
  • Street, J., Fabrianesi, B., Adams, C., Flack, F., Smith, M., Carter, S. M., Lybrand, S., Brown, A., Joyner, S., Mullan, J., Lago, L., Carolan, L., Irvine, K., Wales, C., & Braunack-Mayer, A. J. (2021). Sharing administrative health data with private industry: A report on two citizens’ juries. Health Expectations : An International Journal of Public Participation in Health Care and Health Policy, 24(4), 1337–1348. https://doi.org/10.1111/hex.13268
  • Stuart Geiger, R. (2017). Beyond opening up the black box: Investigating the role of algorithmic systems in Wikipedian organizational culture. Big Data & Society, 4(2), 205395171773014–205395171773073. https://doi.org/10.1177/2053951717730735
  • Swann, W. L. (2017). Modelling the relationship between entrepreneurial orientation, organizational integration, and programme performance in local sustainability. Public Management Review, 19(4), 542–565. https://doi.org/10.1080/14719037.2016.1199729
  • Toli, A. M., Murtagh, N., & Smyth, H. (2022). Co-owned resources: IP and data in smart cities. Journal of Service Theory and Practice, 32(2), 156–178. https://doi.org/10.1108/JSTP-11-2019-0243
  • Troisi, O., D’Arco, M., Loia, F., & Maione, G. (2018). Big data management: The case of Mulino Bianco’s engagement platform for value co-creation. International Journal of Engineering Business Management, 10, 184797901876777–184797901876778. https://doi.org/10.1177/1847979018767776
  • Uden, L., & Del Vecchio, P. (2018). Transforming the stakeholders’ big data for intellectual capital management. Meditari Accountancy Research, 26(3), 420–442. https://doi.org/10.1108/MEDAR-08-2017-0191
  • United Nations (2015). Addis Ababa action Agenda of the third international conference on financing for development (Addis Ababa action Agenda). Available at: https://unctad.org/meetings/en/SessionalDocuments/ares69d313_en.pdf
  • Vaccaro, A., & Madsen, P. (2009). ICT and an NGO: Difficulties in attempting to be extremely transparent. Ethics and Information Technology, 11(3), 221–231. https://doi.org/10.1007/s10676-009-9180-3
  • Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
  • van Ooijen, C., Ubaldi, B., & Welby, B. (2019). A data-driven public sector: Enabling the strategic use of data for productive, inclusive and trustworthy governance. OECD Working Papers on Public Governance, No. 33, OECD Publishing, Paris.
  • Vedder, A., & Naudts, L. (2017). Accountability for the use of algorithms in a big data environment. International Review of Law, Computers & Technology, 31(2), 206–224. https://doi.org/10.1080/13600869.2017.1298547
  • West, J. (2017). Data, democracy and school accountability: Controversy over school evaluation in the case of DeVasco High School. Big Data & Society, 4(1), 205395171770216–205395171770240. https://doi.org/10.1177/2053951717702408
  • Wise, S., & Craglia, M. (Eds.). (2010). GIS and evidence-based policy making. CRC Press.
  • World Bank (2019). Information and Communications for Development 2018: Data-Driven Development., World Bank.
  • Yuan, Q., & Gasco-Hernandez, M. (2021). Open innovation in the public sector: Creating public value through civic hackathons. Public Management Review, 23(4), 523–544. https://doi.org/10.1080/14719037.2019.1695884
  • Zeng, J., & Glaister, K. W. (2018). Value creation from big data: Looking inside the black box. Strategic Organization, 16(2), 105–140. https://doi.org/10.1177/1476127017697510
  • Zhang, J., Li, S., & Wang, Y. (2021). Shaping a smart transportation system for sustainable value co-creation. Information Systems Frontiers, 1–16. https://doi.org/10.1007/s10796-021-10139-3
  • Zuboff, S. (2019). The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. Public Affairs.

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