Raguseo, E., & Vitari, C. (2018). Investments in Big Data Analytics and Firm Performance: An Empirical Investigation of Direct and Mediating Effects. International Journal of Production Research, 56, 5206-5221.
https://doi.org/10.1080/00207543.2018.1427900

has been cited by the following article:

• TITLE: Empirical Analysis of the Processes Driving Data Analytics and Their Outcomes

  AUTHORS: Daisuke Kanama

  KEYWORDS: Data Analytics, Organizational Process, Strategy, Data Analytics Competency, Firm Performance

  JOURNAL NAME: Open Journal of Business and Management, Vol.11 No.3, May 19, 2023

  ABSTRACT: How do data analytics increase firm performances? What organizational processes of data analytics matter for outcomes? This study empirically examines these questions by using RIETI Data Analytics Survey regarding data utilization, and finds following three imprecations. First, strategies for data analytics promote data analytics competencies of organization and human resources, and these competencies promote quality of datasets, resulting in increase of firm performances. Second, non-listed firms and non-manufacturing firms are likely to achieve outcomes of data analytics compared to listed firms and manufacturers. Third, strategies for data analytics tend to enhance productivities for existing products and customer relations, but not for new product/service developments.