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Paper Type
ERF
Abstract
Adoption and use of epistemic technologies like big data analytics and artificial intelligence in incumbent organizations is believed to increase the descriptive and predictive power of business decisions. Yet, adoption of such epistemic technologies in organizations often involves availing the expertise of data science professionals who generate valuable insights from data for the consumption in business decision-making. Following the recent calls in the information systems scholarship to examine the use of these epistemic technologies in practice, this study examines process of information production by data science professionals in large incumbent banks. In particular, the study documents how the data science professionals generate insights from data, how the insights get consumed in the business decision making, and how rationality manifests in these processes. By demonstrating the mechanisms through which subjectivity and objectivity are intertwined in the production of information, this study contributes to the information systems and organization theory scholarships.
Recommended Citation
Joshi, Mayur P., "Custodians of Rationality: Data Science Professionals and the Process of Information Production in Organizations" (2020). AMCIS 2020 Proceedings. 1.
https://aisel.aisnet.org/amcis2020/org_transformation_is/org_transformation_is/1
Custodians of Rationality: Data Science Professionals and the Process of Information Production in Organizations
Adoption and use of epistemic technologies like big data analytics and artificial intelligence in incumbent organizations is believed to increase the descriptive and predictive power of business decisions. Yet, adoption of such epistemic technologies in organizations often involves availing the expertise of data science professionals who generate valuable insights from data for the consumption in business decision-making. Following the recent calls in the information systems scholarship to examine the use of these epistemic technologies in practice, this study examines process of information production by data science professionals in large incumbent banks. In particular, the study documents how the data science professionals generate insights from data, how the insights get consumed in the business decision making, and how rationality manifests in these processes. By demonstrating the mechanisms through which subjectivity and objectivity are intertwined in the production of information, this study contributes to the information systems and organization theory scholarships.
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