IDEAS home Printed from https://ideas.repec.org/a/sae/mareco/v10y2016i1p143-167.html

Modelling a Causal Relationship between the Internet and Academic Research Performance in an Australian University: A Case Study

Author

Listed:
  • Shamsul Arifeen Khan Mamun
  • Mohammad Mafizur Rahman

Abstract

This study examines the relationship between academics’ use of the Internet for academic purposes and their research performance using cross-sectional data collected from academics of the University of Southern Queensland (USQ), Australia, during the period February–March 2014. In this study, a system of simultaneous equation models is used to control the potential bias associated with simultaneity between the use of the Internet and academics’ research performances. The simultaneity, a potential econometric problem, was overlooked in past studies. A finding of this study is that academics’ use of the Internet is a statistically significant contributor to research output in an Australian university. The estimated elasticity of research output is 0.16 with respect to changes in Internet use. JEL Classifications: C3, D8, I2

Suggested Citation

  • Shamsul Arifeen Khan Mamun & Mohammad Mafizur Rahman, 2016. "Modelling a Causal Relationship between the Internet and Academic Research Performance in an Australian University: A Case Study," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 10(1), pages 143-167, February.
  • Handle: RePEc:sae:mareco:v:10:y:2016:i:1:p:143-167
    DOI: 10.1177/0973801015612670
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0973801015612670
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0973801015612670?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Malcolm Abbott & Hristos Doucouliagos, 2004. "Research output of Australian universities," Education Economics, Taylor & Francis Journals, vol. 12(3), pages 251-265.
    2. Zhang, Xiaoqun, 2013. "Income disparity and digital divide: The Internet Consumption Model and cross-country empirical research," Telecommunications Policy, Elsevier, vol. 37(6), pages 515-529.
    3. Jovanovic, Boyan & Rousseau, Peter L., 2005. "General Purpose Technologies," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 18, pages 1181-1224, Elsevier.
    4. van Wissen, Leo J. & Golob, Thomas F., 1990. "Simultaneous Equation Systems Involving Binary Choice Variables," University of California Transportation Center, Working Papers qt5t28k04n, University of California Transportation Center.
    5. Francesco Lissoni & Jacques Mairesse & Fabio Montobbio & Michele Pezzoni, 2011. "Scientific productivity and academic promotion: a study on French and Italian physicists," Industrial and Corporate Change, Oxford University Press, vol. 20(1), pages 253-294, February.
    6. van Wissen, Leo J., 1990. "Simultaneous Equation Systems Involving Binary Choice Variables," University of California Transportation Center, Working Papers qt339562gx, University of California Transportation Center.
    7. Beerkens, Maarja, 2013. "Facts and fads in academic research management: The effect of management practices on research productivity in Australia," Research Policy, Elsevier, vol. 42(9), pages 1679-1693.
    8. Shamsul Arifeen Khan Mamun, 2012. "Stochastic estimation of cost frontier: evidence from Bangladesh," Education Economics, Taylor & Francis Journals, vol. 20(2), pages 211-227, May.
    9. Vinod Mishra & Russell Smyth, 2013. "Are more senior academics really more research productive than junior academics? Evidence from Australian law schools," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 411-425, August.
    10. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    11. Naomi Fukuzawa, 2014. "An empirical analysis of the relationship between individual characteristics and research productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 785-809, June.
    12. Roger Carrington & Tim Coelli & D. S. Prasada Rao, 2005. "The Performance Of Australian Universities: Conceptual Issues And Preliminary Results," Economic Papers, The Economic Society of Australia, vol. 24(2), pages 145-163, June.
    13. Clive R. Belfield, 2000. "Economic Principles for Education," Books, Edward Elgar Publishing, number 2159, June.
    14. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    15. Cohn, Elchanan & Rhine, Sherrie L W & Santos, Maria C, 1989. "Institutions of Higher Education as Multi-product Firms: Economies of Scale and Scope," The Review of Economics and Statistics, MIT Press, vol. 71(2), pages 284-290, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shamsul Arifeen Khan Mamun & Mohammad Mafizur Rahman, 2015. "Is there any feedback effect between academic research publication and research collaboration? Evidence from an Australian university," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2179-2196, December.
    2. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    3. D J Mayston, 2003. "Measuring and managing educational performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(7), pages 679-691, July.
    4. Golob, Thomas F. & Recker, Wilfred W. & Alvarez, Veronica M., 2004. "Safety aspects of freeway weaving sections," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(1), pages 35-51, January.
    5. Ketema, Mengistu & Bauer, Siegfried, 2011. "Determinants of Manure and Fertilizer Applications in Eastern Highlands of Ethiopia," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 50(3), pages 1-16.
    6. Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015. "Efficiency and economies of scale and specialization in European universities: A directional distance approach," Journal of Informetrics, Elsevier, vol. 9(3), pages 430-448.
    7. Eleftherios Giovanis & Oznur Ozdamar, 2025. "The transboundary effects of climate change and global adaptation: the case of the Euphrates–Tigris water basin in Turkey and Iraq," Empirical Economics, Springer, vol. 68(4), pages 1935-1972, April.
    8. Joanna Wolszczak-Derlacz & Aleksandra Parteka, 2011. "Efficiency of European public higher education institutions: a two-stage multicountry approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 887-917, December.
    9. Rajiv Banker & Hsihui Chang & Ehsan Feroz, 2014. "Performance measurement in nonprofit governance: an empirical study of the Minnesota independent school districts," Annals of Operations Research, Springer, vol. 221(1), pages 47-71, October.
    10. Belfield, C. R. & Fielding, A., 2001. "Measuring the relationship between resources and outcomes in higher education in the UK," Economics of Education Review, Elsevier, vol. 20(6), pages 589-602, December.
    11. Agasisti, Tommaso & Barra, Cristian & Zotti, Roberto, 2016. "Evaluating the efficiency of Italian public universities (2008–2011) in presence of (unobserved) heterogeneity," Socio-Economic Planning Sciences, Elsevier, vol. 55(C), pages 47-58.
    12. Amara, Nabil & Rhaiem, Mehdi & Halilem, Norrin, 2020. "Assessing the research efficiency of Canadian scholars in the management field: Evidence from the DEA and fsQCA," Journal of Business Research, Elsevier, vol. 115(C), pages 296-306.
    13. Tzeremes, Nickolaos & Halkos, George, 2010. "A DEA approach for measuring university departments’ efficiency," MPRA Paper 24029, University Library of Munich, Germany.
    14. T Fokkema & L Van Wissen, 1997. "Moving Plans of the Elderly: A Test of the Stress-Threshold Model," Environment and Planning A, , vol. 29(2), pages 249-268, February.
    15. Waltenberg, Fabio D. & Vandenberghe, Vincent, 2007. "What does it take to achieve equality of opportunity in education?: An empirical investigation based on Brazilian data," Economics of Education Review, Elsevier, vol. 26(6), pages 709-723, December.
    16. Golob, Thomas F. & Reagan, Amelia C., 2002. "Trucking Industry Adoption of Information Technology: A structural Multivariate Discrete Choice Model," University of California Transportation Center, Working Papers qt7kv5f17n, University of California Transportation Center.
    17. Golob, Thomas F. & Regan, A C, 2002. "Trucking Industry Adoption of Information Technology: A Structural Multivariate Probit Model," University of California Transportation Center, Working Papers qt9w1988t7, University of California Transportation Center.
    18. George E. Halkos & Nickolaos G. Tzeremes & Stavros A. Kourtzidis, 2012. "Measuring Public Owned University Departments' Efficiency: A Bootstrapped DEA Approach," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 55(2), pages 1-24.
    19. Rotolo, Daniele & Messeni Petruzzelli, Antonio, 2013. "When does centrality matter? Scientific productivity and the moderating role of research specialization and cross-community ties," MPRA Paper 53406, University Library of Munich, Germany.
    20. Troilo, Michael & Bouchet, Adrien & Urban, Timothy L. & Sutton, William A., 2016. "Perception, reality, and the adoption of business analytics: Evidence from North American professional sport organizations," Omega, Elsevier, vol. 59(PA), pages 72-83.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • I2 - Health, Education, and Welfare - - Education

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:mareco:v:10:y:2016:i:1:p:143-167. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: http://www.ncaer.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.