Title: Publication patterns of business analytics faculty: toward a well-founded assessment of productivity

Authors: Hong Qin; Kai S. Koong; Zhaojun Yang

Addresses: Department of Information Systems, Robert C. Vackar College of Business and Entrepreneurship, The University of Texas Rio Grande Valley, 1201 W Univ. Dr. Edinburg, TX 78539, USA ' Brimmer College of Business and Information Science, Tuskegee University, 1200 W. Montgomery Rd. Tuskegee, AL 36088, USA ' School of Economics and Management, Xidian University, Xi'an 710126, Shaanxi, China

Abstract: In many business disciplines, impact metrics and measurements of productivity are well established, including institutionally-approved journal lists available for the use of both faculty and administration. Faculty in business analytics related fields generally have no such tool available, leading at times to confusion, undervaluing of their scholarship, and even litigation. In this study, we take the preliminary steps for establishing objective assessment tools for business analytics faculty by studying the publication patterns of the most productive current practitioners. An initial list of 700 publishing outlets was narrowed down to approximately 100 that account for 30% of all published scholarship in the field. We suggest this list can be used as an initial benchmark for future institution-based conversations about faculty review.

Keywords: business analytics; publication patterns; faculty productivity; professional development; technology; business research; systems.

DOI: 10.1504/IJBSR.2023.134479

International Journal of Business and Systems Research, 2023 Vol.17 No.6, pp.622 - 635

Received: 23 Feb 2022
Accepted: 24 Sep 2022
Published online: 24 Oct 2023 *

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