IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v127y2022i5d10.1007_s11192-022-04320-x.html
   My bibliography  Save this article

Choice and allocation characteristics of faculty time in Korea: effects of tenure, research performance, and external shock

Author

Listed:
  • Jung-Kyu Jung

    (Korea Institute of Science and Technology Evaluation and Planning (KISTEP))

  • Jae Young Choi

    (Hanyang University)

Abstract

Academics generally should meet both teaching duty and research performance requirements. Since their work time is finite, academics need to allocate time for research, teaching, and other types of work. This means that universities or governments might enhance the efficiency of their faculty systems or educational policies by understanding academics’ preferences for choice and allocation of their work time. We analyzed the work time allocation preferences of 450 Korean academics in science and engineering fields based on the multiple discrete–continuous extreme value (MDCEV) model. We classified work time into either of research, teaching, or other tasks and investigated the relationship between academics’ preferences in choosing and allocating their work time and faculty system (e.g., tenure), individual characteristics (e.g., research productivity) and external shock (e.g., COVID-19). Analysis results show that academics with either of tenure, higher research productivity, or commercialization experience preferred to allocating their work time firstly to research, i.e., rather than to teaching or other tasks, while this was not the case for the academics after the pandemic. In general, academics appeared not to prefer allocating their work time firstly to teaching. Implications of our study are twofold. First, the higher education sector needs to incentivize academics’ teaching time allocation for enhanced effectiveness of education. Second, universities and governments urgently need systems and policies to facilitate academics’ research time allocation for enhanced research productivity as we find deteriorated preference for research time allocation after COVID-19.

Suggested Citation

  • Jung-Kyu Jung & Jae Young Choi, 2022. "Choice and allocation characteristics of faculty time in Korea: effects of tenure, research performance, and external shock," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2847-2869, May.
    • Handle: RePEc:spr:scient:v:127:y:2022:i:5:d:10.1007_s11192-022-04320-x
    DOI: 10.1007/s11192-022-04320-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-022-04320-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-022-04320-x?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Brad M. Barber & Wei Jiang & Adair Morse & Manju Puri & Heather Tookes & Ingrid M. Werner, 2021. "What Explains Differences in Finance Research Productivity during the Pandemic?," Journal of Finance, American Finance Association, vol. 76(4), pages 1655-1697, August.
    2. Jeongwen Chiang, 1991. "A Simultaneous Approach to the Whether, What and How Much to Buy Questions," Marketing Science, INFORMS, vol. 10(4), pages 297-315.
    3. Leyden, Dennis Patrick & Link, Albert N., 2015. "Public Sector Entrepreneurship: U.S. Technology and Innovation Policy," OUP Catalogue, Oxford University Press, number 9780199313853.
    4. Larry D. Singell & Jane H. Lillydahl, 1996. "Will Changing Times Change the Allocation of Faculty Time?," Journal of Human Resources, University of Wisconsin Press, vol. 31(2), pages 429-449.
    5. Auranen, Otto & Nieminen, Mika, 2010. "University research funding and publication performance--An international comparison," Research Policy, Elsevier, vol. 39(6), pages 822-834, July.
    6. Tatyana Deryugina & Olga Shurchkov & Jenna Stearns, 2021. "COVID-19 Disruptions Disproportionately Affect Female Academics," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 164-168, May.
    7. Gautier, Axel & Wauthy, Xavier, 2007. "Teaching versus research: A multi-tasking approach to multi-department universities," European Economic Review, Elsevier, vol. 51(2), pages 273-295, February.
    8. Sridhar Seshadri & Zur Shapira, 2001. "Managerial Allocation of Time and Effort: The Effects of Interruptions," Management Science, INFORMS, vol. 47(5), pages 647-662, May.
    9. Decio Coviello & Andrea Ichino & Nicola Persico, 2014. "Time Allocation and Task Juggling," American Economic Review, American Economic Association, vol. 104(2), pages 609-623, February.
    10. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    11. Carol L. Colbeck, 1998. "Merging in a Seamless Blend," The Journal of Higher Education, Taylor & Francis Journals, vol. 69(6), pages 647-671, November.
    12. Huber, Joel & Train, Kenneth, 2000. "On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths," Department of Economics, Working Paper Series qt7zm4f51b, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    13. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    14. Jeffrey F. Milem & Joseph B. Berger & Eric L. Dey, 2000. "Faculty Time Allocation," The Journal of Higher Education, Taylor & Francis Journals, vol. 71(4), pages 454-475, July.
    15. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    16. David B. Audretsch & Albert N. Link (ed.), 2016. "Essays in Public Sector Entrepreneurship," International Studies in Entrepreneurship, Springer, edition 1, number 978-3-319-26677-0, November.
    17. Neeraj Arora & Greg M. Allenby & James L. Ginter, 1998. "A Hierarchical Bayes Model of Primary and Secondary Demand," Marketing Science, INFORMS, vol. 17(1), pages 29-44.
    18. Mathias Dewatripont & Ian Jewitt & Jean Tirole, 1999. "The Economics of Career Concerns, Part II: Application to Missions and Accountability of Government Agencies," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(1), pages 199-217.
    19. Kyle R. Myers & Wei Yang Tham & Yian Yin & Nina Cohodes & Jerry G. Thursby & Marie C. Thursby & Peter Schiffer & Joseph T. Walsh & Karim R. Lakhani & Dashun Wang, 2020. "Unequal effects of the COVID-19 pandemic on scientists," Nature Human Behaviour, Nature, vol. 4(9), pages 880-883, September.
    20. Svein Kyvik & Terje Bruen Olsen, 2008. "Does the aging of tenured academic staff affect the research performance of universities?," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 439-455, September.
    21. Chiang Kao & Hwei-Lan Pao, 2009. "An evaluation of research performance in management of 168 Taiwan universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 261-277, February.
    22. Wahab Ali, 2020. "Online and Remote Learning in Higher Education Institutes: A Necessity in light of COVID-19 Pandemic," Higher Education Studies, Canadian Center of Science and Education, vol. 10(3), pages 1-16, September.
    23. Hazhir Rahmandad & Keyvan Vakili, 2019. "Explaining Heterogeneity in the Organization of Scientific Work," Organization Science, INFORMS, vol. 30(6), pages 1125-1145, November.
    24. Janet Bercovitz & Maryann Feldman, 2008. "Academic Entrepreneurs: Organizational Change at the Individual Level," Organization Science, INFORMS, vol. 19(1), pages 69-89, February.
    25. Ted von Hippel & Courtney von Hippel, 2015. "To Apply or Not to Apply: A Survey Analysis of Grant Writing Costs and Benefits," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-8, March.
    26. Jangwan Ko & Seungsu Paek & Seoyoon Park & Jiwoo Park, 2021. "A News Big Data Analysis of Issues in Higher Education in Korea amid the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(13), pages 1-18, June.
    27. Juster, F Thomas & Stafford, Frank P, 1991. "The Allocation of Time: Empirical Findings, Behavioral Models, and Problems of Measurement," Journal of Economic Literature, American Economic Association, vol. 29(2), pages 471-522, June.
    28. Huber, Joel & Train, Kenneth, 2000. "On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths," Department of Economics, Working Paper Series qt7zm4f51b, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    29. Ransom, Michael R, 1993. "Seniority and Monopsony in the Academic Labor Market," American Economic Review, American Economic Association, vol. 83(1), pages 221-233, March.
    30. Stuart D. Allen & Albert N. Link & Dan T. Rosenbaum, 2007. "Entrepreneurship and Human Capital: Evidence of Patenting Activity from the Academic Sector," Entrepreneurship Theory and Practice, , vol. 31(6), pages 937-951, November.
    31. Chris Woolston, 2020. "Postdoc survey reveals disenchantment with working life," Nature, Nature, vol. 587(7834), pages 505-508, November.
    32. Mary Frank Fox & Sushanta Mohapatra, 2007. "Social-Organizational Characteristics of Work and Publication Productivity among Academic Scientists in Doctoral-Granting Departments," The Journal of Higher Education, Taylor & Francis Journals, vol. 78(5), pages 542-571, September.
    33. Ahn, Jiwoon & Jeong, Gicheol & Kim, Yeonbae, 2008. "A forecast of household ownership and use of alternative fuel vehicles: A multiple discrete-continuous choice approach," Energy Economics, Elsevier, vol. 30(5), pages 2091-2104, September.
    34. Herbert W. Marsh & John Hattie, 2002. "The Relation between Research Productivity and Teaching Effectiveness," The Journal of Higher Education, Taylor & Francis Journals, vol. 73(5), pages 603-641, September.
    35. Mathias Dewatripont & Ian Jewitt & Jean Tirole, 1999. "The Economics of Career Concerns, Part II: Application to Missions and Accountability of Government Agencies," Review of Economic Studies, Oxford University Press, vol. 66(1), pages 199-217.
    36. James S. Fairweather, 2002. "The Mythologies of Faculty Productivity," The Journal of Higher Education, Taylor & Francis Journals, vol. 73(1), pages 26-48, January.
    37. Barham, Bradford L. & Foltz, Jeremy D. & Prager, Daniel L., 2014. "Making time for science," Research Policy, Elsevier, vol. 43(1), pages 21-31.
    38. Ruomeng Cui & Hao Ding & Feng Zhu, 2020. "Gender Inequality in Research Productivity During the COVID-19 Pandemic," Papers 2006.10194, arXiv.org, revised Feb 2021.
    39. Allenby, Greg M. & Rossi, Peter E., 1998. "Marketing models of consumer heterogeneity," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 57-78, November.
    40. Toutkoushian, Robert K., 1999. "The status of academic women in the 1990s No longer outsiders, but not yet equals," The Quarterly Review of Economics and Finance, Elsevier, vol. 39(5), pages 679-698.
    41. Cynthia L. Harter & William E. Becker & Michael Watts, 2011. "Time Allocations and Reward Structures for US Academic Economists from 1955–2005: Evidence from Three National Surveys," International Review of Economic Education, Economics Network, University of Bristol, vol. 10(2), pages 6-27.
    42. Donald S. Siegel & Maribel Guerrero, 2021. "The Impact of Quarantines, Lockdowns, and ‘Reopenings’ on the Commercialization of Science: Micro and Macro Issues," Journal of Management Studies, Wiley Blackwell, vol. 58(5), pages 1389-1394, July.
    43. Link, Albert N. & Swann, Christopher A. & Bozeman, Barry, 2008. "A time allocation study of university faculty," Economics of Education Review, Elsevier, vol. 27(4), pages 363-374, August.
    44. James A. Cunningham & Paul O’Reilly & Brendan Dolan & Conor O’Kane & Vincent Mangematin, 2016. "Publicly funded principal investigators allocation of time for public sector entrepreneurship activities," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 43(4), pages 383-408, December.
    45. Shivaram V. Devarakonda & Jeffrey J. Reuer, 2018. "Knowledge sharing and safeguarding in R&D collaborations: The role of steering committees in biotechnology alliances," Strategic Management Journal, Wiley Blackwell, vol. 39(7), pages 1912-1934, July.
    46. Pradeep K. Chintagunta, 1993. "Investigating Purchase Incidence, Brand Choice and Purchase Quantity Decisions of Households," Marketing Science, INFORMS, vol. 12(2), pages 184-208.
    47. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
    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. James A. Cunningham & Paul O’Reilly & Brendan Dolan & Conor O’Kane & Vincent Mangematin, 2016. "Publicly funded principal investigators allocation of time for public sector entrepreneurship activities," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 43(4), pages 383-408, December.
    2. Catherine P. Slade & Saundra J. Ribando & C. Kevin Fortner, 2016. "Faculty research following merger: a job stress and social identity theory perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 71-89, April.
    3. Woo, JongRoul & Choi, Jae Young & Shin, Jungwoo & Lee, Jongsu, 2014. "The effect of new media on consumer media usage: An empirical study in South Korea," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 3-11.
    4. Kyuho Maeng & Sungmin Ko & Jungwoo Shin & Youngsang Cho, 2020. "How Much Electricity Sharing Will Electric Vehicle Owners Allow from Their Battery? Incorporating Vehicle-to-Grid Technology and Electricity Generation Mix," Energies, MDPI, vol. 13(16), pages 1-25, August.
    5. Shin, Jungwoo & Hwang, Won-Sik & Choi, Hyundo, 2019. "Can hydrogen fuel vehicles be a sustainable alternative on vehicle market?: Comparison of electric and hydrogen fuel cell vehicles," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 239-248.
    6. Jungwoo Shin & Taehoon Lim & Moo Yeon Kim & Jae Young Choi, 2018. "Can Next-Generation Vehicles Sustainably Survive in the Automobile Market? Evidence from Ex-Ante Market Simulation and Segmentation," Sustainability, MDPI, vol. 10(3), pages 1-16, February.
    7. Richards, Timothy J. & Gómez, Miguel I. & Pofahl, Geoffrey, 2012. "A Multiple-discrete/Continuous Model of Price Promotion," Journal of Retailing, Elsevier, vol. 88(2), pages 206-225.
    8. Huh, Sung-Yoon & Lee, Hyejin & Shin, Jungwoo & Lee, Donghyun & Jang, Jinyoung, 2018. "Inter-fuel substitution path analysis of the korea cement industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4091-4099.
    9. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    10. Byun, Hyunsuk & Shin, Jungwoo & Lee, Chul-Yong, 2018. "Using a discrete choice experiment to predict the penetration possibility of environmentally friendly vehicles," Energy, Elsevier, vol. 144(C), pages 312-321.
    11. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
    12. Rodrigo J. Tapia & Gerard Jong & Ana M. Larranaga & Helena B. Bettella Cybis, 2021. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina," Networks and Spatial Economics, Springer, vol. 21(3), pages 581-608, September.
    13. Chandra Bhat & Abdul Pinjari, 2014. "Multiple discrete-continuous choice models: a reflective analysis and a prospective view," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 19, pages 427-454, Edward Elgar Publishing.
    14. Bhat, Chandra R. & Srinivasan, Sivaramakrishnan & Sen, Sudeshna, 2006. "A joint model for the perfect and imperfect substitute goods case: Application to activity time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 40(10), pages 827-850, December.
    15. Bhat, Chandra R. & Sen, Sudeshna, 2006. "Household vehicle type holdings and usage: an application of the multiple discrete-continuous extreme value (MDCEV) model," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 35-53, January.
    16. Bonnet, Céline & Richards, Timothy J., 2016. "Models of Consumer Demand for Differentiated Products," TSE Working Papers 16-741, Toulouse School of Economics (TSE).
    17. Park, Soyeong & Maeng, Kyuho & Shin, Jungwoo, 2023. "Efficient subsidy distribution for hydrogen fuel cell vehicles based on demand segmentation," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    18. Ahn, Jiwoon & Jeong, Gicheol & Kim, Yeonbae, 2008. "A forecast of household ownership and use of alternative fuel vehicles: A multiple discrete-continuous choice approach," Energy Economics, Elsevier, vol. 30(5), pages 2091-2104, September.
    19. Abdul Pinjari & Chandra Bhat & David S. Bunch, 2013. "Workshop report: recent advances on modeling multiple discrete-continuous choices," Chapters, in: Stephane Hess & Andrew Daly (ed.), Choice Modelling, chapter 3, pages 73-90, Edward Elgar Publishing.
    20. Pradeep K. Chintagunta & Harikesh S. Nair, 2011. "Structural Workshop Paper --Discrete-Choice Models of Consumer Demand in Marketing," Marketing Science, INFORMS, vol. 30(6), pages 977-996, November.

    More about this item

    Keywords

    Faculty; Time allocation; Discrete choice model; Research; Education;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

    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:spr:scient:v:127:y:2022:i:5:d:10.1007_s11192-022-04320-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.