Algorithmic governance in public sector: is digitization a key to effective management

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Published: Nov 1, 2020
DOI: https://doi.org/10.14807/ijmp.v11i9.1400
Keywords:
Algorithmic governance Public sector Digitization Human rights Management

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Aurelija Pūraitė
Mykolas Romeris University
http://orcid.org/0000-0001-9228-1396
Vaiva Zuzevičiūtė
Mykolas Romeris University
Daiva Bereikienė
Mykolas Romeris University
Tetyana Skrypko
Lviv Institute of Economics and Tourism
http://orcid.org/0000-0001-7905-5677
Leonid Shmorgun
National Academy of Leadership in Culture and Arts
صندلی اداری

Abstract

While algorithmic governance in the public sector can lead to increased efficiency and cost-effectiveness, the implementation of those digital innovations can also result in multiple forms of harm: data bias can lead to reinforcement of inequality, discrimination, and criminalization of already marginalized populations; lack of accountability and transparency in decision-making can lead to injustices; societal trust and the legitimacy of public sector institutions may suffer; privacy and fundamental human rights may be threatened, ethical standards challenged. Digital transformation, leading to algorithmic governance, may be challenged in times of crisis, such as the recent pandemic outbreak, as new technologies in public sector institutions and forms of data-driven surveillance and intrusive monitoring are introduced in the name of public security and social need.  This research focuses in affirming the assumption that the effective management in the public sector, first of all, is determined by the ability of this sector to transform the perception of the services delivered; secondly, it requires strategic actions to enable the systemic and coherent digital transformation of the public sector; and lastly, the new strategies of human resources management in the public sector should be considered. The focus is concentrated on understanding how the implementation of digital tools to the public sector and public services correlate with algorithmic governance concept and what impact digitization has on the effectiveness of management in the public sector.

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Article Details

Issue
Vol. 11 No. 9 (2020): Independent Journal of Management & Production (2nd Special Edition ISE, S&P)
Section
Integration System of Education, Science and Production

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Author Biographies

Aurelija Pūraitė, Mykolas Romeris University

Ph.D. in Law, Associate Professor of Law Department in Mykolas Romeris University, Vice-Dean for Research and Science at Academy of Public Security, Mykolas Romeris University.

National Correspondent in Research and Science Correspondents Network established by CEPOL (European Union Agency for Law Enforcement Training).

Deputy Editor-in-Chief of the International Scientific Journal “Public Security and Public Order”, and an editorial board member of the European Law Enforcement Research Bulletin

A leading researcher in the field of human rights digitization in Lithuania as evidenced by the high number of publications in the field - author of more than 40 scientific publications, an active member of the Algorithmic Governance Research Network (https://www.algorithmic-governance.com/researchers)
Researcher ID      A-8626-2016

 

Vaiva Zuzevičiūtė, Mykolas Romeris University

Ph.D. in Social Sciences, professor at the Department of Humanities at Mykolas Romeris University at Academy of Public security. Board Member of the National Association of Distance Education.  Member of editorial boards of the International Scientific Journals “Public Security and Public Order” (https://www3.mruni.eu/ojs/vsvt/index),  “Security Dimensions: International & National Studies” (http://security-economy-law.pl/http://security-dimensions.pl/scientific-board/);  „Pedagogika Szkoły Wyższej” (http://psw.whus.pl/rada-naukowa/);  “Border Security and Management” (http://journals.ru.lv/index.php).

Research network (https://www.researchgate.net)

ORCID: https://orcid.org/0000-0001-5768-1626

Daiva Bereikienė, Mykolas Romeris University

Position: Lecturer in different law disciplines at Public Security Academy, Mykolas Romeris University, Department of Law. Author of 15 scientific articles, co-author of two books.
Academic degree: Doctoral Candidate in Law
Academic title: Lecturer
ORCID: https://orcid.org/0000-0002-5985-3732

Tetyana Skrypko, Lviv Institute of Economics and Tourism

Doctor of Economic Sciences, Associate Professor of Management, Department of Management, Commodity Science and Commercial Activity of  Lviv Institute of Economics and Tourism, developer of national acts to improve the legal framework and acts for the development of innovation state infrastructure.
She teaches disciplines taught: investment management, innovation management, hotel and restaurant management, creative management, public administration, corporate management.
Scientific interests: Investment and innovation activity, small and medium enterprises, national economic development and security, tourism management

Leonid Shmorgun, National Academy of Leadership in Culture and Arts

Doctor of Economic Sciences,
Professor, Department of Art Management and Event Technology National Academy of Leadership in Culture and Arts
His practical experience of the manager at the Department of Art Management and Event Technology.
Scientific interests: management, management of organizations, management, education and science, social policy, economics
Adress:  01601, Kyiv, Esplanade Street, 4-6 office 113-114

ORCID: https://orcid.org/0000-0002-9729-4249

Scopus ID : https://www.scopus.com/authid/detail.uri?authorId=57215587987

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References

ACCO TIVES LEÃO, H.; CANEDO, E.D. (2018) Best Practices and Methodologies to Promote the Digitization of Public Services Citizen-Driven: A Systematic Literature Review. Information, v. 9, n. 8, p. 197.

ALHAQBANI, A., REED, M.D; SAVAGE, B.M.; RIES, J. (2016) The impact of middle management commitment improvement initiatives in public organizations. Business Process Management Journal, v. 22, n. 5, p. 924–938. Available: https://www.emerald.com/insight/content/doi/10.1108/BPMJ-01-2016-0018/full/html. Access: 26th July, 2020. DOI: 10.1108/BPMJ-01-2016-0018.

BAACK, S. (2015) Datafication and empowerment: how the open data movement re-articulates notions of democracy, participation and journalism. Big Data & Society, v. 7, n. 1. Available: https://journals.sagepub.com/doi/pdf/10.1177/2053951715594634. Access: 30th July, 2020. DOI: 10.1177/2053951715594634.

BARCEVIČIUS, E., et al. (2019) Exploring Digital Government transformation in the EU - Analysis of the state of the art and review of literature, Luxembourg: Publications Office of the European Union. Available: https://publications.jrc.ec.europa.eu/repository/bitstream/JRC118857/jrc118857_jrc_s4p_report_digigov_soa_04122019_def.pdf, Access: 30th July, 2020. DOI:10.2760/17207,JRC118857.

BAROCAS, S.; SELBST, A. D. (2016) Big Data’s Disparate Impact, California Law Review, v. 104, n. 3, p. 671–732. Available: https://www.jstor.org/stable/24758720?seq=1#metadata_info_tab_contents, Access: 28th July, 2020, DOI: 10.15779/Z38BG31.

BENNETT MOSES, L.; CHAN, J. (2018) Algorithmic prediction in policing: assumptions, evaluation, and accountability, Policing and Society, v. 28, n. 7, p. 806-822, Available: https://www.tandfonline.com/doi/pdf/10.1080/10439463.2016.1253695?needAccess=true, Access: 28th July, 2020, DOI: 10.1080/10439463.2016.1253695.

BENNETT, C. J. (2017) Voter databases, micro-targeting, and data protection law: Can political parties campaign in Europe as they do in North America? International Data Privacy Law, v. 6, n. 4, p. 261–275. Available: https://academic.oup.com/idpl/article/6/4/261/2567747. Access 28th July, 2020, DOI:10.1093/idpl/ipw021.

BERTOTA, J.; ESTEVEZ, E.; JANOWSKI, T. (2016) Universal and contextualized public services: Digital public service innovation framework, Government Information Quarterly, v. 33, n. 2, p. 211-222. Available: https://www.sciencedirect.com/science/article/pii/S0740624X16300545#f0005, Access: 30th July, 2020, DOI: https://doi.org/10.1016/j.giq.2016.05.004.

BIJKER, W. E.; LAW, J. (Eds.). (1992) Shaping Technology/Building Society: Studies in Sociotechnical Change. Cambridge, MA: The MIT Press.

BINNS, R.; VEALE, M.; VAN KLEEK; SHADBOLT, M. (2017) Like trainer, like bot? Inheritance of bias in algorithmic content moderation, in: CIAMPAGLIA, G. L.; MASHHADI, A.; YASSERI, T. (Eds.). Social Informatics, v. 10540, p. 405–415. Available: https://link.springer.com/chapter/10.1007/978-3-319-67256-4_32#citeas, Access 28th July, 2020, DOI: 10.1007/978-3-319-67256-4_32.

BLIND, P.K (2010) Building trust in government: Linking theory with practice, in: CHEEMA, S; POPOVSKI, V. (eds.), Building trust in government: Innovations in governance reform in Asia. Tokyo, New York, Paris: United Nations University.

CHOULDECHOVA, A. (2017) Fair prediction with disparate impact: A study of bias in recidivism prediction instrument’. Big Data, v. 5, n. 2, p. 153–163. Available: https://www.researchgate.net/publication/309402975_Fair_Prediction_with_Disparate_Impact_A_Study_of_Bias_in_Recidivism_Prediction_Instruments, Access: 28th July, 2020, DOI: 10.1089/big.2016.0047.

CHRISTOU, G.; SIMPSON, S. (2011) The European Union, multilateralism and the global governance of the Internet. Journal of European Public Policy, v. 18, n. 2, p. 241–257. Available: https://www.tandfonline.com/doi/full/10.1080/13501763.2011.544505. Access: 26th July, 2020. DOI: 10.1080/13501763.2011.544505.

CORDELLA, A.; TEMPINI, N. (2015) E-government and organizational change: Reappraising the role of ICT and bureaucracy in public service delivery. Government Information Quarterly, v 32, n. 3, p. 279-286, Available: https://www.sciencedirect.com/science/article/pii/S0740624X15000556#f0005. Access: 30th July, 2020, DOI: https://doi.org/10.1016/j.giq.2015.03.005.

COURTLAND, R. (2018) Bias detectives: the researchers striving to make algorithms fair, Nature, v. 558, p. 357-360. Nature Publishing Group. Available: https://media.nature.com/original/magazine-assets/d41586-018-05469-3/d41586-018-05469-3.pdf. Access: 28th July, 2020, DOI: 10.1038/d41586-018-05469-3.

CURRISTINE, T.; LONTI, Z.; JOUMARD, I. (2007) Improving Public Sector Efficiency: Challenges and Opportunities. OECD Journal on Budgeting, v. 7, n. 1, Available: https://www.oecd.org/gov/budgeting/43412680.pdf. Access: 30th July, 2020.

DENCIK, L.; HINTZ, A.; REDDEN, J.; WARNE, H. (2018). Data scores as Governance: Investigating uses of citizen scoring in public services. Project Report. Cardiff University. Available: http://orca.cf.ac.uk/117517/1/data-scores-as-governance-project-report2.pdf, Access 28th July, 2020.

EGBERT, S. (2019) Predictive Policing and the Platformization of Police Work. Surveillance & Society, v. 17, n. 1/2, p. 83–88. Available: https://ojs.library.queensu.ca/index.php/surveillance-and-society/article/view/12920/8480, Access: 28th July, 2020, DOI: https://doi.org/10.24908/ss.v17i1/2.12920.

ENSIGN, D.; FRIEDLER, S. A.; NEVILLE, S.; SCHEIDEGGER, C.; VENKATASUBRAMANIAN, S. (2018) Runaway Feedback Loops in Predictive Policing. Proceedings of Machine Learning Research, v. 81, p. 1–12, Available: https://arxiv.org/pdf/1706.09847.pdf#page=4. Access: 28th July, 2020.

ETSCHEID J. (2019) Artificial Intelligence in Public Administration. In LINDGREN I. ET AL. (eds) Electronic Government. EGOV 2019. Lecture Notes in Computer Science, vol 11685, p. 248-261, Springer, Cham. Available: https://doi.org/10.1007/978-3-030-27325-5_19. Access: 30th July, 2020.

EUROPEAN COMMISSION (2020) White Paper On Artificial Intelligence - A European approach to excellence and trust. COM (2020) 65 final. Brussels, Available: https://ec.europa.eu/info/sites/info/files/commission-white-paper-artificial-intelligence-feb2020_en.pdf. Access: 28th July, 2020.

EUROPEAN COMMISSION (2020) Digital Economy and Society Index Report 2020 - Digital Public Services, Available: https://ec.europa.eu/digital-single-market/en/digital-public-services-scoreboard. Access: 26th July, 2020.

EUROPEAN COMMISSION (2019) e-Government Benchmark 2019. Empowering Europeans through trusted digital public services, European Union, 2019. Available: https://op.europa.eu/lt/publication-detail/-/publication/c896937b-f554-11e9-8c1f-01aa75ed71a1/language-en/format-PDF. Access: 30th July, 2020. DOI: 10.2759/950318

EUROPEAN COMMISSION (2010) EUROPE 2020. A strategy for smart, sustainable and inclusive growth, Brussels, Available: https://ec.europa.eu/eu2020/pdf/COMPLET%20EN%20BARROSO%20%20%20007%20-%20Europe%202020%20-%20EN%20version.pdf. Access: 30th July, 2030.

GILLESPIE, T. (2018) Custodians of the internet: Platforms, content moderation, and the hidden decisions that shape social media. New Haven: Yale University Press.

GILLESPIE, T. (2014) The relevance of algorithms. In GILLESPIE, T.; BOCZKOWSKI, P. J.; FOOT, K. A. (Eds.), Media Technologies. Essays on Communication, Materiality, and Society, p. 167–193. Cambridge, MA: The MIT Press.

GORWA, R. (2019) What is platform governance? Information, Communication & Society, v. 22, n. 6, p. 854-871, Available: https://www.tandfonline.com/doi/full/10.1080/1369118X.2019.1573914?scroll=top&needAccess=true, Access: 28th July, 2020, DOI: 10.1080/1369118X.2019.1573914.

GRAY, J.; RUMPE, B. (2015) Models for digitalization, Software & Systems Modeling, v. 14, n. 4, p. 1319–1320. Available: https://www.researchgate.net/publication/283905857_Models_for_digitalization. Access: 26th July, 2020. DOI: 10.1007/s10270-015-0494-9.

HILDEBRANDT, M. (2015) Smart Technologies and the End(s) of Law. Cheltenham: Edward Elgar Publishing.

HOOD, C. (1995) The “new public management” in the 1980s: Variations on a theme Accounting, Organizations and Society, v. 20, n. 2–3, p. 93-109, Available: https://www.sciencedirect.com/science/article/abs/pii/0361368293E0001W?via%3Dihub, Access: 30th July, 2020, DOI: https://doi.org/10.1016/0361-3682(93)E0001-W

INTRONA, L. D. (2016). Algorithms, Governance, and Governmentality: On Governing Academic Writing. Science, Technology, & Human Values, v. 41, n. 1, p. 17–49. Available: https://journals.sagepub.com/doi/pdf/10.1177/0162243915587360. Access: 28th July, 2020. DOI:10.1177/0162243915587360.

JACOBSON, D. (2020) Dutch anti-fraud system violates human rights, court rules, UPI, Published on 6th February 2020. Available: https://www.business-humanrights.org/en/netherlands-govt-use-of-ai-to-identify-potential-welfare-fraud-violates-human-rights-court-rules. Access: 28th July, 2020.

JAEGER, P. T.; BERTOT, J. C. (2010) Designing, implementing, and evaluating user-centered and citizen-centered E-government, International Journal of Electronic Government Research, v. 6, n. 2, p. 1-17. Available: https://www.igi-global.com/gateway/article/42144. Access: 30th July, 2020, DOI: 10.4018/jegr.2010040101.

JANKOWSKI, T. (2015) Digital government evolution: From transformation to contextualization, Government Information Quarterly, v. 32, n. 3, p. 221-236. Available: https://reader.elsevier.com/reader/sd/pii/S0740624X15000775?token=8436090AA1E954C949D26F87C8CC02498CE7C739BFDBF8149320C7461116DA37160977151E1072FE2697F20403C97424. Access: 30th July, 2020, DOI: 10.1016/j.giq.2015.07.001.

JUST, N.; LATZER, M. (2016) Governance by algorithms: Reality construction by algorithmic selection on the Internet. Media, Culture & Society, v. 39, n. 2, p. 238–258. Available: https://journals.sagepub.com/doi/10.1177/0163443716643157. Access: 26th July, 2020. DOI:10.1177/0163443716643157.

KAPLAN, B.; TRUEX, D. P.; WASTEIL, D.; WOOD-HARPER, A. T.; DEGROSS, J. I. (eds.) (2004) Information Systems Research - Relevant Theory and Informed Practice. Springer.

KATZENBACH, C.; ULBRICHT, L. (2019) Algorithmic governance. Internet Policy Review, v. 8, n. 4. Available: https://policyreview.info/concepts/algorithmic-governance. Access: 26th July, 2020. DOI: 10.14763/2019.4.1424.

KITCHIN, R. (2016) Thinking critically about and researching algorithms. Information, Communication & Society, v. 20, n. 1, p. 14–29. Available: https://www.tandfonline.com/doi/full/10.1080/1369118X.2016.1154087, Access 28th July, 2020, DOI: 10.1080/1369118X.2016.1154087.

KITCHIN, R. (2014) The data revolution: big data, open data, data infrastructures & their consequences. London: Sage.

KÖNIG, P. D. (2019) Dissecting the Algorithmic Leviathan. On the Socio-Political Anatomy of Algorithmic Governance. Philosophy & Technology. Available: https://link.springer.com/article/10.1007/s13347-019-00363-w. Access: 28th July, 2020, DOI: https://doi.org/10.1007/s13347-019-00363-w.

LAFORTUNE, G.; UBALDI, B. (2018) OECD 2017 OURdata Index: Methodology and results, OECD Working Papers on Public Governance, No. 30, OECD Publishing, Paris, Available: http://doi.org/10.1787/2807d3c8-en. Access: 30th July, 2020.

LATOUR, B. (2005) Reassembling the social: An introduction to actor-network-theory. Oxford; New York: Oxford University Press.

LITHUANIAN MINISTRY OF ECONOMY AND INNOVATIONS (2020) Lietuva 2030. Available: https://www.lietuva2030.lt/en/. Access: 29th July, 2020.

LUPTON, D. (2016) Personal Data Practices in the Age of Lively Data. In DANIELS, J.; GREGORY, K.; COTTOM, T. M. (Eds.). Digital sociologies. Bristol; Chicago: Policy Press, p. 339–354. Available: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2636709, Access: 29th July, 2020. DOI: 10.2139/ssrn.2636709.

LYON, D. (2014) Surveillance, Snowden, and Big Data: Capacities, consequences, critique. Big Data & Society, v. 1, n. 2, p. 1-13. Available: https://journals.sagepub.com/doi/pdf/10.1177/2053951714541861. Access: 29th July, 2020, DOI: 10.1177/2053951714541861.

MARGETTS, H. (1999) Information Technology in Government: Britain and America. London: Routledge.

MAYER-SCHÖNBERGER, V.; CUKIER, K. (2013) Big Data: A Revolution That Will Transform How We Live, Work and Think. London: John Murray

MEJIAS, U.; COULDRY, N. (2019) Datafication. Internet Policy Review, v. 8, n. 4. Available: https://policyreview.info/concepts/datafication, Access: 30th July, 2020, DOI:10.14763/2019.4.1428.

MUSIANI, F. (2013) Governance by algorithms. Internet Policy Review, v. 2, n. 3. Available: https://policyreview.info/articles/analysis/governance-algorithms. Access: 26th July, 2020. DOI:10.14763/2013.3.188.

NEYLAND, D.; MÖLLERS, N. (2017) Algorithmic IF … THEN rules and the conditions and consequences of power. Information, Communication & Society, v. 20, n. 1, p. 45–62. Available: https://www.tandfonline.com/doi/pdf/10.1080/1369118X.2016.1156141?needAccess=true. Access 28th July, 2020, DOI:10.1080/1369118X.2016.1156141.

NOBLE, S. U. (2018) Algorithms of Oppression: How Search Engines Reinforce Racism. New York: NYU Press.

OECD (2019) Government at a Glance, OECD, Available: https://www.oecd-ilibrary.org/sites/8ccf5c38-en/1/2/9/2/index.html?itemId=/content/publication/8ccf5c38-en&_csp_=40825562de64089b975c3e83eb3f6e04&itemIGO=oecd&itemContentType=book, Access: 30th July, 2020.

OECD (2014) Recommendation of the Council on Digital Government Strategies, OECD: Paris, France. Available: https://www.oecd.org/gov/digital-government/Recommendation-digital-government-strategies.pdf. Access: 30th July, 2020.

RATCLIFFE, J. H.; TAYLOR, R. B.; FISHER, R. (2019) Conflicts and congruencies between predictive policing and the patrol officer’s craft. Policing and Society. Available: https://www.tandfonline.com/doi/pdf/10.1080/10439463.2019.1577844?needAccess=true. Access: 28th July, 2020. DOI: 10.1080/10439463.2019.1577844.

RASSOOL, M. R.; DISSANAYAKE, D. (2019) Digital Transformation for Small & Medium Enterprises (SMEs): With Special Focus On Sri Lankan Context as an Emerging Economy. International Journal of Business and Management Review, v. 7, n. 4, p. 59-76. Available: https://www.eajournals.org/wp-content/uploads/Digital-Transformation-for-Small-Medium-Enterprises-SMEs.pdf. Access: 30th July, 2020,

REIS, J.G.M., NETO, P.L.O.C., FUSCO, J.P.A. & MACHADO, S.T. (2014) Supply chain strategies in the context of an e-commerce chain (e-chain). Independent Journal of Management & Production, v.5, n. 2, p. 438-457. DOI: http://dx.doi.org/10.14807/ijmp.v5i2.148

REASCOS, I.; CARVALHO, J. A.; BOSSANO, S. (2019) Implanting IT Applications in Government Institutions: A Process Model Emerging from a Case Study in a Medium-Sized Municipality, In Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance (ICEGOV’19). Melbourne, Australia, April 3-5, 2019. DOI: 10.1145/3326365.3326376

RUUD, O. (2017) Successful digital transformation projects in public sector with focus on municipalities, In Conference Central and Eastern European e|Dem and e|Gov Days, 2017. Available: https://www.researchgate.net/publication/316715943_Successful_digital_transformation_projects_in_public_sector_with_focus_on_municipalities_research_in_progress. Access: April 16th, 2020.

SEAVER, N. (2017) Algorithms as culture: Some tactics for the ethnography of algorithmic systems. Big Data & Society, v. 4, n. 2. Available: https://journals.sagepub.com/doi/full/10.1177/2053951717738104#articleCitationDownloadContainer. Access 28th July, 2020. DOI: https://doi.org/10.1177/2053951717738104.

SAURWEIN, F; JUST, N; LATZER, M. (2015) Governance of Algorithms: Options and Limitations. The journal of policy, regulation and strategy for telecommunications, information and media, v. 17, n. 6, p. 35–49. Available: https://mediachange.ch/media//pdf/publications/GovernanceOfAlgorithms_.pdf. Access: 26th July, 2020. DOI: 10.1108/info-05-2015-0025.

SIMANJUNTAK, M. (2020) Consumer empowerment on online purchasing. Independent Journal of Management & Production, v. 11, n. 1, p. 236-255. DOI: dx.doi.org/10.14807/ijmp.v11i1.964

SCHMIDT, A.; WIEGAND, M. (2017) A survey on hate speech detection using natural language processing. In Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media. Valencia: Association for Computational Linguistics. Available: https://www.aclweb.org/anthology/W17-1101. Access 28th July, 2020, DOI: 10.18653/v1/W17-1101.

SCHRAPE, J. F. (2019) The Promise of Technological Decentralization. A Brief Reconstruction. Society, v. 56, n. 1, p. 31–37. Available: https://www.aclweb.org/anthology/W17-1101.pdf. Access 28th July, 2020, DOI:10.1007/s12115-018-00321-w.

SÖDERSTRÖM, F.; MELIN, U. (2019) Creating Local Government Innovation. In LINDGREN I. ET AL. (eds) Electronic Government. EGOV 2019. Lecture Notes in Computer Science, vol 11685. Springer, Cham., p. 125-138. Available: https://doi.org/10.1007/978-3-030-27325-5_10. Access: 2020-04-16.

SUNDBERG, L. (2019) Value Positions and Relationships in the Swedish Digital Government. Administrative Sciences, v. 9, n. 24, p. 1-15, Available: https://www.researchgate.net/publication/331684435_Value_Positions_and_Relationships_in_the_Swedish_Digital_Government. Access: 30th July, 2020, DOI: 10.3390/admsci9010024

UDOVITA, P. V. M. V. D. (2020) Conceptual Review on Dimensions of Digital Transformation in Modern Era. International Journal of Scientific and Research Publications, v. 10, n. 2. Available: http://www.ijsrp.org/research-paper-0220.php?rp=P989697#citation. Access: 26th July, 2020, DOI: 10.29322/IJSRP.10.02.2020.p9873.

UNITED NATIONS (2017) Innovation in the Public Sector, New York and Geneva: United Nations, Available: https://www.unece.org/fileadmin/DAM/ceci/publications/Innovation_in_the_Public_Sector/Public_Sector_Innovation_for_web.pdf. Access: 30th July, 2020.

UNRUH, G.; KIRON, D. (2017) Digital Transformation on Purpose, MIT Sloan Management Review, 2017. Available: https://sloanreview.mit.edu/article/digital-transformation-on-purpose/. Access: 30th July, 2020.

VEALE, M.; BRASS, I. (2019) Administration by Algorithm? Public Management Meets Public Sector Machine Learning, in: YEUNG, K.; LODGE, M., (Eds.), Algorithmic Regulation. Oxford University Press. Available: https://ssrn.com/abstract=3375391. Access 28th July, 2020,

WADE, M. (2015) Digital business transformation: A conceptual framework. Global Center for Digital Business Transformation, Available: https://www.imd.org/contentassets/d0a4d992d38a41ff85de509156475caa/framework, Access: 30th July, 2020.

WILLCOCKS, L. P.; LACITY, M. (2016) Service automation robots and the future of work, Ashford: SB Publishing.

YEUNG, K. (2018) Algorithmic regulation: A critical interrogation. Regulation & Governance, v. 12, n. 4, p. 505–523. Available: https://onlinelibrary.wiley.com/doi/abs/10.1111/rego.12158, Access 28th July, 2020, DOI: https://doi.org/10.1111/rego.12158.

ZIEWITZ, M. (2016) Governing Algorithms: Myth, Mess, and Methods. Science, Technology, & Human Values, v. 41, n. 1, p. 3–16. Available: https://journals.sagepub.com/doi/full/10.1177/0162243915608948. Access 28th July, 2020, DOI:10.1177/0162243915608948.

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