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The swift integration of digital technologies—artificial intelligence (AI), machine learning (ML), big data analytics, algorithmic decision systems, and pervasive sensing—has transformed the epistemological and ethical underpinnings of research in the social and management sciences. These technologies enhance analytical capabilities and introduce innovative forms of empirical leverage; however, they simultaneously present significant challenges to fundamental research principles, including informed consent, privacy, fairness, transparency, construct validity, sampling, and reproducibility. This chapter presents a theoretical framework for comprehending technological mediation in research, delineates the primary ethical risks, examines the effects on validity and reliability, and formulates prescriptive governance and methodological strategies specifically designed for management and social-science research. The argument posits three interconnected assertions: (a) technology is not epistemically neutral; (b) ethical and validity concerns in digitally mediated research are mutually constitutive; and (c) responsible knowledge production necessitates comprehensive technical, procedural, and institutional reforms.
Keywords:
technology, research ethics, validity, management research, social sciences, artificial intelligence, reproducibility
Cite Article:
"Technology, Ethics and Validity: Reconfiguring Research in the Social and Management Sciences", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.a77-a83, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512011.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator