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Determinants of faculty research productivity in information systems: An empirical analysis of the impact of academic origin and academic affiliation

Author

Listed:
  • Rebecca Long

    (Mississippi State University)

  • Aleta Crawford

    (University of Mississippi)

  • Michael White

    (Mississippi State University)

  • Kimberly Davis

    (Mississippi State University)

Abstract

This manuscript provides guidance to Deans and other academic decision makers in the hiring process and dispels the validity of a widely held assumption commonly used as a decision factor in the selection process. This paper investigates: (a) whether graduates of prestigious information systems (IS) doctoral programs (graduates with high-status academic origins) are more likely to be successful in their academic careers (as measured by research productivity) than graduates of less prestigious programs, (b) whether IS faculty who are employed by esteemed universities (faculty with high-status academic affiliations) are more productive researchers than IS faculty employed by lower-status institutions, and (c) examines faculty productivity in terms of Lotka’s Law [Lotka, 1926]. The findings indicate that in the IS field, productivity does not follow a Lotka distribution. Moreover, our study also shows that academic affiliation is a significant determinant of research productivity in terms of quantity (as measured by publication counts) and quality (as measured by citation counts). Contrary to common expectations, however, the analysis shows that the status of a faculty member’s academic origin is not a significant determinant of research productivity in the field of information systems. Therefore, continued reliance on academic pedigree as a primary criterion for hiring decisions may not be justified in the IS discipline.

Suggested Citation

  • Rebecca Long & Aleta Crawford & Michael White & Kimberly Davis, 2009. "Determinants of faculty research productivity in information systems: An empirical analysis of the impact of academic origin and academic affiliation," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 231-260, February.
  • Handle: RePEc:spr:scient:v:78:y:2009:i:2:d:10.1007_s11192-007-1990-7
    DOI: 10.1007/s11192-007-1990-7
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    2. Wu, Jiang & Ou, Guiyan & Liu, Xiaohui & Dong, Ke, 2022. "How does academic education background affect top researchers’ performance? Evidence from the field of artificial intelligence," Journal of Informetrics, Elsevier, vol. 16(2).
    3. Liang, Wenyan & Gu, Jun & Nyland, Chris, 2022. "China's new research evaluation policy: Evidence from economics faculty of Elite Chinese universities," Research Policy, Elsevier, vol. 51(1).
    4. Ana Rute Cardoso & Paulo Guimarães & Klaus F. Zimmermann, 2010. "Comparing the early research performance of PhD graduates in labor economics in Europe and the USA," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 621-637, September.
    5. Negash, Minga & Lemma, Tesfaye T. & Samkin, Grant, 2019. "Factors impacting accounting research output in developing countries: An exploratory study," The British Accounting Review, Elsevier, vol. 51(2), pages 170-192.
    6. Giovanni Abramo & Ciriaco Andrea D’Angelo & Anastasiia Soldatenkova, 2017. "How long do top scientists maintain their stardom? An analysis by region, gender and discipline: evidence from Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 867-877, February.
    7. Xiantong Zhao & Hongbiao Yin & Chenyang Fang & Xu Liu, 2021. "For the Sustainable Development of Universities: Exploring the External Factors Impacting Returned Early Career Academic’s Research Performance in China," Sustainability, MDPI, vol. 13(3), pages 1-20, January.
    8. Aristoklis D. Anastasiadis & Marcelo P. Albuquerque & Marcio P. Albuquerque & Diogo B. Mussi, 2010. "Tsallis q-exponential describes the distribution of scientific citations—a new characterization of the impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 205-218, April.
    9. Ioana Alexandra HORODNIC, 2014. "Academic Performance: Measurement Methods Used In Socio - Economic Sciences," THE YEARBOOK OF THE "GH. ZANE" INSTITUTE OF ECONOMIC RESEARCHES, Gheorghe Zane Institute for Economic and Social Research ( from THE ROMANIAN ACADEMY, JASSY BRANCH), vol. 23(1), pages 5-17.
    10. William E. Savage & Anthony J. Olejniczak, 2021. "Do senior faculty members produce fewer research publications than their younger colleagues? Evidence from Ph.D. granting institutions in the United States," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4659-4686, June.
    11. Nabil Amara & Réjean Landry & Norrin Halilem, 2015. "What can university administrators do to increase the publication and citation scores of their faculty members?," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 489-530, May.
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    13. J. Corey Miller & Keith H. Coble & Jayson L. Lusk, 2013. "Evaluating top faculty researchers and the incentives that motivate them," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 519-533, December.

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