IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i8p4614-d792327.html
   My bibliography  Save this article

Individual Differences in Digital Game-Based Supply Chains Management Learning: Evidence from Higher Vocational Education in Taiwan

Author

Listed:
  • Ya-Cing Jhan

    (Department of International Trade, Chinese Culture University, Taipei 11114, Taiwan)

  • Pin Luarn

    (Department of Business Administration, National Taiwan University of Science and Technology, Taipei 10607, Taiwan)

  • Hong-Wen Lin

    (Department of International Trade, Chinese Culture University, Taipei 11114, Taiwan)

Abstract

This study aims to investigate the differences in the learning path and value between students of different genders and educational backgrounds in digital game-based learning in Taiwan’s higher vocational education. A game-based digital Supply Chains Learning System was used to explore the value network based on “system attributes—learning consequences—target value” from the perspective of the student. To investigate the research question, this study conducted a cross-analysis of differences in gender and education background. Findings from the study revealed that irrespective of gender and educational background in higher vocational education in Taiwan, students developed distinctively different learning paths, values, and emphasis from specific system attributes. These findings will not only enable trainers and educators to learn more about the differences in learning by individuals but will also serve as useful guidelines for the improvement of the teaching strategy used by digital games developers.

Suggested Citation

  • Ya-Cing Jhan & Pin Luarn & Hong-Wen Lin, 2022. "Individual Differences in Digital Game-Based Supply Chains Management Learning: Evidence from Higher Vocational Education in Taiwan," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4614-:d:792327
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/8/4614/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/8/4614/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pitts, Robert E. & Wong, John K. & Joel Whalen, D., 1991. "Consumers' evaluative structures in two ethical situations: A means-end approach," Journal of Business Research, Elsevier, vol. 22(2), pages 119-130, March.
    2. Hossein Safari & Soheila Etezadi & Mohsen Moradi-Moghadam & Mohammad Reza Fathi, 2021. "Maturity evaluation of supply chain procedures by combining SCOR and PST models," International Journal of Process Management and Benchmarking, Inderscience Enterprises Ltd, vol. 11(5), pages 707-724.
    3. Geary, S. & Disney, S.M. & Towill, D.R., 2006. "On bullwhip in supply chains--historical review, present practice and expected future impact," International Journal of Production Economics, Elsevier, vol. 101(1), pages 2-18, May.
    4. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    5. Pando-Garcia, Julián & Periañez-Cañadillas, Iñaki & Charterina, Jon, 2016. "Business simulation games with and without supervision: An analysis based on the TAM model," Journal of Business Research, Elsevier, vol. 69(5), pages 1731-1736.
    6. Tal Ben-Zvi & Thomas C. Carton, 2007. "From Rhetoric to Reality: Business Games as Educational Tools," INFORMS Transactions on Education, INFORMS, vol. 8(1), pages 10-18, September.
    7. Walker, Beth A. & Olson, Jerry C., 1991. "Means-end chains: Connecting products with self," Journal of Business Research, Elsevier, vol. 22(2), pages 111-118, March.
    8. Sheth, Jagdish N. & Newman, Bruce I. & Gross, Barbara L., 1991. "Why we buy what we buy: A theory of consumption values," Journal of Business Research, Elsevier, vol. 22(2), pages 159-170, 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. Jingtao Yi & Jinqiu He & Lihong Yang, 2019. "Platform heterogeneity, platform governance and complementors’ product performance: an empirical study of the mobile application industry," Frontiers of Business Research in China, Springer, vol. 13(1), pages 1-20, December.
    2. Changsok Yoo & Shinhye Kwon & Hyunsoo Na & Byenghee Chang, 2017. "Factors Affecting the Adoption of Gamified Smart Tourism Applications: An Integrative Approach," Sustainability, MDPI, vol. 9(12), pages 1-21, November.
    3. Song-yi Youn, 2019. "Connecting through Technology: Smartphone Users’ Social Cognitive and Emotional Motivations," Social Sciences, MDPI, vol. 8(12), pages 1-19, December.
    4. López-Mosquera, Natalia & Sánchez, Mercedes, 2011. "The influence of personal values in the economic-use valuation of peri-urban green spaces: An application of the means-end chain theory," Tourism Management, Elsevier, vol. 32(4), pages 875-889.
    5. Michael Marcin Kunz & Ulrich Bretschneider & Max Erler & Jan Marco Leimeister, 2017. "An empirical investigation of signaling in reward-based crowdfunding," Electronic Commerce Research, Springer, vol. 17(3), pages 425-461, September.
    6. Pham Ngoc Thuy & Le Nguyen Hau & Felicitas Evangelista, 2016. "Service value and switching barriers: a personal values perspective," The Service Industries Journal, Taylor & Francis Journals, vol. 36(3-4), pages 142-162, February.
    7. Han Jiang & Zhiyi Wang & Lusi Yang & Jia Shen & Jungpil Hahn, 2021. "How Rewarding Are Your Rewards? A Value-Based View of Crowdfunding Rewards and Crowdfunding Performance," Entrepreneurship Theory and Practice, , vol. 45(3), pages 562-599, May.
    8. Cheng-Shih Lin & Mei-Yuan Jeng & Tsu-Ming Yeh, 2018. "The Elderly Perceived Meanings and Values of Virtual Reality Leisure Activities: A Means-End Chain Approach," IJERPH, MDPI, vol. 15(4), pages 1-13, April.
    9. Rahman, Shaikh Moksadur, 2020. "Relationship between Job Satisfaction and Turnover Intention: Evidence from Bangladesh," Asian Business Review, Asian Business Consortium, vol. 10(2), pages 99-108.
    10. Wang Kai, 2019. "Towards a Taxonomy of Idea Generation Techniques," Foundations of Management, Sciendo, vol. 11(1), pages 65-80, January.
    11. Saarijärvi, Hannu & Mitronen, Lasse & Yrjölä, Mika, 2014. "From selling to supporting – Leveraging mobile services in the context of food retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 21(1), pages 26-36.
    12. Bridgelall, Raj & Stubbing, Edward, 2021. "Forecasting the effects of autonomous vehicles on land use," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    13. Bevilacqua, Maurizio & Ciarapica, Filippo Emanuele, 2018. "Human factor risk management in the process industry: A case study," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 149-159.
    14. Naveena Prakasam & Louisa Huxtable-Thomas, 2021. "Reddit: Affordances as an Enabler for Shifting Loyalties," Information Systems Frontiers, Springer, vol. 23(3), pages 723-751, June.
    15. Pengji Wang & Adrian T. H. Kuah & Qinye Lu & Caroline Wong & K. Thirumaran & Emmanuel Adegbite & Wesley Kendall, 2021. "The impact of value perceptions on purchase intention of sustainable luxury brands in China and the UK," Journal of Brand Management, Palgrave Macmillan, vol. 28(3), pages 325-346, May.
    16. Terason Sid, 2021. "Predicting Sports Facility Revisit Intentions Based on Experience and Mediating Effects of Perceived Value," Polish Journal of Sport and Tourism, Sciendo, vol. 28(3), pages 35-41, September.
    17. Colin Jerolmack & Alexandra K. Murphy, 2019. "The Ethical Dilemmas and Social Scientific Trade-offs of Masking in Ethnography," Sociological Methods & Research, , vol. 48(4), pages 801-827, November.
    18. Valeriy Makarov & Albert Bakhtizin, 2014. "The Estimation Of The Regions’ Efficiency Of The Russian Federation Including The Intellectual Capital, The Characteristics Of Readiness For Innovation, Level Of Well-Being, And Quality Of Life," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 9-30.
    19. Zhao, Jing & Knoop, Victor L. & Wang, Meng, 2020. "Two-dimensional vehicular movement modelling at intersections based on optimal control," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 1-22.
    20. Kristine Edgar Danielyan & Samvel Grigoriy Chailyan, 2019. "Delineation of Effectors Impact on The Human Brain Derived Phosphoribosylpyrophosphate Synthetase-1 Activity," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 24(1), pages 17918-17926, December.

    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:jsusta:v:14:y:2022:i:8:p:4614-:d:792327. 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.