📄 Abstract
Between 2023 and 2026 a cluster of legal instruments converted algorithmic transparency at work from a voluntary practice into a statutory obligation. Directive (EU) 2024/2831 requires platforms to disclose automated monitoring and decision systems, to maintain human oversight, and to grant a right to explanation and human review, with national transposition due by 2 December 2026. India has moved along a parallel but narrower path through state gig-work statutes, of which the Karnataka legislation is the most developed. These mandates rest on an untested behavioural premise: that telling workers how an algorithm decides will make them regard its decisions as procedurally just and will restore their trust in automated decision-making. This paper examines that premise. Drawing together the organisational justice literature, research on algorithmic management and control, and recent experimental evidence, it develops a five-dimensional construction of algorithmic transparency practice — existence disclosure, parameter disclosure, ex post explanation, contestability, and collective disclosure — and maps each dimension against the obligations imposed by six current instruments. The review finds that the evidence supporting a direct transparency-to-trust relationship is weak, that the effect where it exists appears to run through informational and then procedural justice rather than directly, and that recent experimental work reports no improvement in informational or procedural fairness perceptions from added disclosure. Five propositions are advanced, including the proposition that compliance formalism attenuates the effect of mandated disclosure, and a research agenda is set out around the December 2026 transposition date, which offers an unusually clean natural experiment. Implications for Indian employers, for platform regulation and for human resource practice are discussed.
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📚 How to Cite:
Dr. N Subbukrishna Sastry, Dr. Manjula Mallya M , ALGORITHMIC MANAGEMENT TRANSPARENCY MANDATES AND EMPLOYEE TRUST IN AUTOMATED DECISIONS: A STRUCTURED REVIEW AND RESEARCH AGENDA , Volume 14 , Issue 9, October 2026, International Journal of Southern Economic Light (JSEL) , Pages: 1 - 11 ,