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				<full_title>Journal of Digital Business and Management Studies</full_title>
				<abbrev_title>J. Digit. Bus. Manag. Stud.</abbrev_title>
				<issn>3149-9597</issn>
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					<year>2024</year>
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					<volume>4</volume>
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				<issue>2</issue>
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					<title>Algorithmic Decision Systems in Organizations: Reviewing Opportunities, Risks, and Governance Implications</title>
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          					<person_name sequence="first" contributor_role="author">
            <given_name>Elena</given_name>
            <surname>Petrova</surname>
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            <given_name>Ivan</given_name>
            <surname>Georgiev</surname>
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          					<person_name sequence="additional" contributor_role="author">
            <given_name>Nikolay</given_name>
            <surname>Stoyanov</surname>
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          					<person_name sequence="additional" contributor_role="author">
            <given_name>Petar</given_name>
            <surname>Kolev</surname>
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								<publication_date>
					<year>2024</year>
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					  <unstructured_citation>Martin K, Waldman A. Are Algorithmic Decisions Legitimate? The Effect of Process and Outcomes on Perceptions of Legitimacy of AI Decisions. J Bus Ethics. 2023;183:653-70.</unstructured_citation>
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					  <unstructured_citation>Kim H, Glaeser EL, Hillis A, Kominers SD, Luca M. Decision authority and the returns to algorithms. Strateg Manage J. 2024;45(4):619-48.</unstructured_citation>
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          					<citation key="rk-10.68159/c828493735-78da2d17-14b4-4816-a0eb-ecd846698365">
					  <unstructured_citation>Pachidi S, Berends H, Faraj S, Huysman M. Make way for the algorithms: Symbolic actions and change in a regime of knowing. Organ Sci. 2021;32(1):18-41.</unstructured_citation>
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          					<citation key="rk-10.68159/c828493735-1571b8bd-7b3b-4c39-959a-b0d1f7ee1dd7">
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          					<citation key="rk-10.68159/c828493735-a1c2c81c-4c0a-4a9c-ad19-be34a41085f5">
					  <unstructured_citation>Turel O, Kalhan S. Prejudiced against the machine? Implicit associations and the transience of algorithm aversion. MIS Q. 2023;47(4):1369-94.</unstructured_citation>
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          					<citation key="rk-10.68159/c828493735-6f7d4d59-9e1d-419b-9ffa-912d446c2a6c">
					  <unstructured_citation>Martin K. Designing ethical algorithms. MIS Q Exec. 2019;18(2):5.</unstructured_citation>
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          					<citation key="rk-10.68159/c828493735-c1affa68-4855-4371-aacf-b1d7efbfeb73">
					  <unstructured_citation>Grønsund T, Aanestad M. Augmenting the algorithm: Emerging human-in-the-loop work configurations. J Strateg Inf Syst. 2020.</unstructured_citation>
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          					<citation key="rk-10.68159/c828493735-b57c45ff-22c5-4f60-ad81-4d978863a2ef">
					  <unstructured_citation>Markus ML. Datification, organizational strategy, and IS research: what&#039;s the score? J Strateg Inf Syst. 2017.</unstructured_citation>
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					  <unstructured_citation>Lindebaum D, Vesa M, den Hond F. Insights From &quot;The Machine Stops&quot; to Better Understand Rational Assumptions in Algorithmic Decision Making and Its Implications for Organizations. Acad Manage Rev. 2020.</unstructured_citation>
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					  <unstructured_citation>Kordzadeh N, Ghasemaghaei M. Algorithmic bias: review, synthesis, and future research directions. Eur J Inf Syst. 2022.</unstructured_citation>
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					  <unstructured_citation>Lindebaum D, Moser C, Islam G. Big data, proxies, algorithmic decision-making and the future of management theory. J Manage Stud. 2024.</unstructured_citation>
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					  <unstructured_citation>Aysolmaz B, Müller R, Meacham D. The public perceptions of algorithmic decision-making systems: Results from a large-scale survey. Telematics Inform. 2023.</unstructured_citation>
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					  <unstructured_citation>Nagtegaal R. The impact of using algorithms for managerial decisions on public employees&#039; procedural justice. Gov Inf Q. 2021.</unstructured_citation>
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					  <unstructured_citation>Gal U, Hansen S, Lee AS. Research perspectives: Toward theoretical rigor in ethical analysis: The case of algorithmic decision-making systems. J Assoc Inf Syst. 2022;23(6):1.</unstructured_citation>
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