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

Hong Qin, Kai S. Koong and Zhaojun Yang

International Journal of Business and Systems Research, 2023, vol. 17, issue 6, 622-635

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. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=134479 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbsre:v:17:y:2023:i:6:p:622-635

Access Statistics for this article

More articles in International Journal of Business and Systems Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().