The Role of Data Analytics and Machine Learning in Resurrecting Inductive-Based Accounting Research


  • Lawrence A. Gordon University of Maryland Institute for Advanced Computer Studies



The objective of this paper is to assess the impact of data analytics (DA) and machine learning (ML) on accounting research.[1] As discussed in the paper, the inherent inductive nature of DA and ML is creating an important trend in the way accounting research is being conducted. That trend is the increasing utilization of inductive-based research among accounting researchers. Indeed, as a result of the recent developments with DA and ML, a rebalancing is taking place between inductive-based and deductive-based research in accounting.[2] In essence, we are witnessing the resurrection of inductive-based accounting research. A brief review of some empirical evidence to support the above argument is also provided in the paper.   


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How to Cite

Gordon, L. A. . (2021). The Role of Data Analytics and Machine Learning in Resurrecting Inductive-Based Accounting Research. Transactions on Engineering and Computing Sciences, 9(2), 1–19.