IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v2y2018i4p24-d176670.html
   My bibliography  Save this article

Logistics Education and Behavioral Training Decisions, Time Distortion, and the Prae Ante View

Author

Listed:
  • Thomas Neukirchen

    (Institute for Logistics and Service Management, FOM University of Applied Sciences, Leimkugelstr. 6, 45141 Essen, Germany)

  • Matthias Klumpp

    (Institute for Logistics and Service Management, FOM University of Applied Sciences, Leimkugelstr. 6, 45141 Essen, Germany
    Department of Industrial Engineering and Business Information Systems (IEBIS), University of Twente, Enschede, The Netherlands)

Abstract

In training and education for logistics, time inconsistency affects individual decisions regarding education and career choices. This is especially relevant in view of growing boundarylessness of careers that impacts the logistics sector with its high ratio of lateral entrants. We enrich the analysis of training and education decision-making processes with a third view beyond the common ex ante and ex post perspectives that has not been employed yet in this context. Our insights, modeled as a new prae ante view, can help prevent myopia in educational choice on an individual level and the resulting economic inefficiencies. This translates into more fitting provisions by individuals earlier, and into improved targeting of prospective employees in logistics. The purpose of this study is to provide an agent-based description grounded in behavioral economics, supported by an explorative empirical survey using extensive semi-structured expert-interviews with six participants concerning four to six career transitions each, conducted with employees in logistics professions. Main conclusions include that participants who were asked openly about influential factors for education and career decisions were oblivious of some factors described as highly predictive of educational and career success in literature, not acknowledging social and cultural capital, habitus, and chance, but also consistently ascribing success to a “milestone-mindset” to be described here as well.

Suggested Citation

  • Thomas Neukirchen & Matthias Klumpp, 2018. "Logistics Education and Behavioral Training Decisions, Time Distortion, and the Prae Ante View," Logistics, MDPI, vol. 2(4), pages 1-16, October.
    • Handle: RePEc:gam:jlogis:v:2:y:2018:i:4:p:24-:d:176670
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/2/4/24/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/2/4/24/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gabaix, Xavier & Laibson, David, 2017. "Myopia and Discounting," CEPR Discussion Papers 11914, C.E.P.R. Discussion Papers.
    2. Andersen, Steffen & Harrison, Glenn W. & Lau, Morten I. & Rutström, E. Elisabet, 2014. "Discounting behavior: A reconsideration," European Economic Review, Elsevier, vol. 71(C), pages 15-33.
    3. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    4. Hasanefendic, Sandra & Heitor, Manuel & Horta, Hugo, 2016. "Training students for new jobs: The role of technical and vocational higher education and implications for science policy in Portugal," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 328-340.
    5. Drazen Prelec, 2004. "Decreasing Impatience: A Criterion for Non‐stationary Time Preference and “Hyperbolic” Discounting," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(3), pages 511-532, October.
    6. Gollier, Christian & Weitzman, Martin L., 2010. "How should the distant future be discounted when discount rates are uncertain?," Economics Letters, Elsevier, vol. 107(3), pages 350-353, June.
    7. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    8. Hadi Moheb-Alizadeh & Robert B. Handfield, 2017. "Developing Talent from a Supply–Demand Perspective: An Optimization Model for Managers," Logistics, MDPI, vol. 1(1), pages 1-29, August.
    9. José Luis Montiel Olea & Tomasz Strzalecki, 2014. "Axiomatization and Measurement of Quasi-Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(3), pages 1449-1499.
    10. Barry Turner, 1981. "Some practical aspects of qualitative data analysis: One way of organising the cognitive processes associated with the generation of grounded theory," Quality & Quantity: International Journal of Methodology, Springer, vol. 15(3), pages 225-247, June.
    11. Perez-Arce, Francisco, 2017. "The effect of education on time preferences," Economics of Education Review, Elsevier, vol. 56(C), pages 52-64.
    12. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
    13. Jacob A. Mincer, 1974. "Age and Experience Profiles of Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 64-82, National Bureau of Economic Research, Inc.
    14. George Loewenstein & Drazen Prelec, 1992. "Anomalies in Intertemporal Choice: Evidence and an Interpretation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 573-597.
    15. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    16. Ali al-Nowaihi & Sanjit Dhami, 2013. "A Theory of Reference Time," Discussion Papers in Economics 13/26, Division of Economics, School of Business, University of Leicester.
    17. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    18. Ok, Efe A. & Masatlioglu, Yusufcan, 2007. "A theory of (relative) discounting," Journal of Economic Theory, Elsevier, vol. 137(1), pages 214-245, November.
    19. Biewen, Martin & Tapalaga, Madalina, 2017. "Life-cycle educational choices in a system with early tracking and ‘second chance’ options," Economics of Education Review, Elsevier, vol. 56(C), pages 80-94.
    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. Daniele Pennesi, 2017. "Uncertain discount and hyperbolic preferences," Theory and Decision, Springer, vol. 83(3), pages 315-336, October.
    2. Drouhin, Nicolas, 2020. "Non-stationary additive utility and time consistency," Journal of Mathematical Economics, Elsevier, vol. 86(C), pages 1-14.
    3. Dziewulski, Paweł, 2018. "Revealed time preference," Games and Economic Behavior, Elsevier, vol. 112(C), pages 67-77.
    4. Nicolas Drouhin, 2016. "Non stationary additive utility and time consistency," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01238584, HAL.
    5. Galizzi, Matteo M. & Miraldo, Marisa & Stavropoulou, Charitini & van der Pol, Marjon, 2016. "Doctor–patient differences in risk and time preferences: A field experiment," Journal of Health Economics, Elsevier, vol. 50(C), pages 171-182.
    6. Sebastian Schweighofer-Kodritsch, 2015. "Time Preferences and Bargaining," STICERD - Theoretical Economics Paper Series /2015/568, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    7. Obara, Ichiro & Park, Jaeok, 2017. "Repeated games with general discounting," Journal of Economic Theory, Elsevier, vol. 172(C), pages 348-375.
    8. Anchugina, Nina & Ryan, Matthew & Slinko, Arkadii, 2017. "Hyperbolic discounting of the far-distant future," Economics Letters, Elsevier, vol. 155(C), pages 140-143.
    9. Kirsten I. M. Rohde, 2019. "Measuring Decreasing and Increasing Impatience," Management Science, INFORMS, vol. 65(4), pages 1700-1716, April.
    10. Adriani, Fabrizio & Sonderegger, Silvia, 2020. "Optimal similarity judgments in intertemporal choice (and beyond)," Journal of Economic Theory, Elsevier, vol. 190(C).
    11. W. David Bradford & Paul Dolan & Matteo M. Galizzi, 2019. "Looking ahead: Subjective time perception and individual discounting," Journal of Risk and Uncertainty, Springer, vol. 58(1), pages 43-69, February.
    12. Anujit Chakraborty, 2021. "Present Bias," Econometrica, Econometric Society, vol. 89(4), pages 1921-1961, July.
    13. Stephen L. Cheung & Agnieszka Tymula & Xueting Wang, 2022. "Present bias for monetary and dietary rewards," Experimental Economics, Springer;Economic Science Association, vol. 25(4), pages 1202-1233, September.
    14. Steffen Hillmert, 2002. "Labour Market Integration and Institutions: An Anglo-german Comparison," Work, Employment & Society, British Sociological Association, vol. 16(4), pages 675-701, December.
    15. Guillermina Jasso, 1996. "Exploring the Reciprocal Relations between Theoretical and Empirical Work," Sociological Methods & Research, , vol. 24(3), pages 253-303, February.
    16. Chloé Duvivier Duvivier & Mary-Françoise Renard & Shi Li, 2012. "Are workers close to cities paid higher non-agricultural wages in rural China?," CERDI Working papers halshs-00673698, HAL.
    17. Belzil, Christian & Sidibé, Modibo, 2016. "Internal and External Validity of Experimental Risk and Time Preferences," IZA Discussion Papers 10348, Institute of Labor Economics (IZA).
    18. Philip Trostel & Ian Walker, 2006. "Education and Work," Education Economics, Taylor & Francis Journals, vol. 14(4), pages 377-399.
    19. Rosen, Harvey S, 1982. "Taxation and On-the-Job Training Decisions," The Review of Economics and Statistics, MIT Press, vol. 64(3), pages 442-449, August.
    20. Nghia Thi Thu Nguyen & Cheng-Tao Tang & Chun Yee Wong, 2021. "The Impacts of Social Enterprises on Labor Market Outcomes: Evidence from Vietnam," Sustainability, MDPI, vol. 13(19), pages 1-13, September.

    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:gam:jlogis:v:2:y:2018:i:4:p:24-:d:176670. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.