Sustainable Supply Chain Management Education: Employing Artificial Intelligence, Augmented Reality, and Gamification for Effective Learning
DOI:
https://doi.org/10.14738/assrj.112.2.16423Keywords:
sustainability, supply chain, immersive learning, artificial intelligence, augmented reality, gamification, educationAbstract
Sustainable supply chain management education has assumed critical importance in today's context of evolving environmental, economic, and social sustainability objectives. The growing complexity of supply chain management underscores the necessity for acquiring new competencies to navigate these challenges. Furthermore, as businesses are compelled to enhance their practices with heightened awareness of environmental issues, the imperative for sustainable management becomes increasingly evident. Future business leaders or supply chain managers, particularly higher learning institution’s students, should be able to demonstrate the ability to navigate and harness the collective environmental intelligence within their supply networks, promoting the principles of environmental sustainability. This study aims to examine the impact of immersive learning (artificial intelligence, augmented reality, and gamification) towards education, in the context of understanding sustainable supply chain management (SSCM) practices and concepts. The study used a cross-sectional survey approach with a purposive sampling technique to collect data from 204 respondents. The findings of this study suggest that immersive learning techniques are significant and positive factors that contribute to SSCM education. The evidence presented suggests that artificial intelligence and gamification serve as transformative tools, enhancing students' comprehension of SSCM concepts and fostering a genuine interest in adopting more sustainable business practices. In essence, this research reinforces the indispensability of sustainable supply chain education in equipping future business leaders with the knowledge and skills required to navigate the complexities of contemporary SC management while championing environmental, economic, and social sustainability goals.
References
S. Seuring and M. Müller, “From a literature review to a conceptual framework for sustainable supply chain management,” J. Clean. Prod., vol. 16, pp. 1699–1710, 2008, doi: 10.1016/j.jclepro.2008.04.020.
V. Mani and A. Gunasekaran, “Four forces of supply chain social sustainability adoption in emerging economies,” Int. J. Prod. Econ., vol. 199, pp. 150–161, 2018, doi: 10.1016/j.ijpe.2018.02.015.
M. Wilhelm, C. Blome, E. Wieck, and C. Y. Xiao, “Implementing sustainability in multi-tier supply chains: Strategies and contingencies in managing sub-suppliers,” Int. J. Prod. Econ., vol. 182, pp. 196–212, 2016, doi: 10.1016/j.ijpe.2016.08.006.
N. A. M. Johari, A. R. M. Mokhtar, and N. M. Sayuti, “Conceptualising Stakeholder Commitment, Closed-Loop Supply Chains and Organisational Performance: A Circular Economy Perspective,” J. Entrep. Bus. Econ. Vol 10 No 2S2 Theme Digit. Prog. Bus. Pract., Oct. 2022, [Online]. Available: http://scientificia.com/index.php/JEBE/article/view?path=.
M. Birasnav, R. Mittal, and S. Loughlin, “Linking leadership behaviors and information exchange to improve supply chain performance: A conceptual model,” Glob. J. Flex. Syst. Manag., vol. 16, no. 2, pp. 205–217, 2015, doi: 10.1007/s40171-015-0092-2.
A. R. Mokhtar, M. S. Anindita, and Z. S. Suhaimi, “Leveraging Supply Chain Leadership for Dynamic Capabilities and Organisational Resilience,” Adv. Soc. Sci. Res. J., vol. 10, no. 6.2, pp. 54–66, 2023, doi: 10.14738/assrj.106.2.14992.
N. S. Naharuddin and A. R. M. Mokhtar, “Revitalising Business Sustainability through Full-Range Leadership Approach: A Supply Chain Management View,” Inf. Manag. Bus. Rev., vol. 15, no. 3(SI) SE-Research Paper, Sep. 2023, doi: 10.22610/imbr. v15i3(SI).3464.
M. A. Waller and S. E. Fawcett, “Executive Education is an Implementation of Supply Chain Management in Collegiate Schools of Business,” J. Bus. Logist., vol. 36, no. 2, pp. 135–138, Jun. 2015, doi: 10.1111/jbl.12085.
D. Simpson, J. Meredith, K. Boyer, D. Dilts, L. M. Ellram, and G. K. Leong, “Professional, Research, and 449 Publishing Trends in Operations and Supply Chain Management,” J. Supply Chain Manag., vol. 51, no. 3, pp. 87–100, Jul. 2015, doi: 10.1111/jscm.12078.
M. M. C. Fritz and M. Cordova, “Developing managers’ mindset to lead more sustainable supply chains,” Clean. Logist. Supply Chain, vol. 7, p. 100108, 2023, doi: https://doi.org/10.1016/j.clscn.2023.100108.
A. Ummihusna and M. Zairul, “Investigating immersive learning technology intervention in architecture education: a systematic literature review,” J. Appl. Res. High. Educ., vol. 14, no. 1, pp. 264–281, Jan. 2022, doi: 10.1108/JARHE-08-2020-0279.
S. A. Yawar and S. Seuring, “Management of Social Issues in Supply Chains: A Literature Review Exploring Social Issues, Actions and Performance Outcomes,” Journal of Business Ethics. 2015, doi: 10.1007/s10551-015-2719-9.
D. M. Neutzling, A. Land, S. Seuring, and L. F. M. do Nascimento, “Linking sustainability-oriented innovation to supply chain relationship integration,” J. Clean. Prod., vol. 172, pp. 3448–3458, 2018, doi: 10.1016/j.jclepro.2017.11.091.
A. Touboulic and H. Walker, “Theories in sustainable supply chain management: A structured literature review,” International Journal of Physical Distribution and Logistics Management, vol. 45. pp. 16–42, 2015, doi: 10.1108/IJPDLM-05-2013-0106.
S. Zailani, K. Govindan, M. R. Shaharudin, and E. E. L. Kuan, “Barriers to product return management in automotive manufacturing firms in Malaysia,” J. Clean. Prod., vol. 141, pp. 22–40, 2017, doi: 10.1016/j.jclepro.2016.08.160.
B. T. Hazen, J. B. Skipper, J. D. Ezell, and C. A. Boone, “Big data and predictive analytics for supply chain sustainability: A theory-driven research agenda,” Comput. Ind. Eng., vol. 101, pp. 592–598, 2016, doi: 10.1016/j.cie.2016.06.030.
S. Bag, L. C. Wood, L. Xu, P. Dhamija, and Y. Kayikci, “Big data analytics as an operational excellence approach to enhance sustainable supply chain performance,” Resour. Conserv. Recycl., vol. 153, pp. 1–10, 2020, doi: 10.1016/j.resconrec.2019.104559.
C. H. Wu, Y. M. Tang, Y. P. Tsang, and K. Y. Chau, “Immersive Learning Design for Technology Education: A Soft Systems Methodology,” Front. Psychol., vol. 12, 2021, doi: 10.3389/fpsyg.2021.745295.
F. Almeida and J. Simoes, “The Role of Serious Games, Gamification and Industry 4.0 Tools in the Education 4.0 Paradigm,” Contemp. Educ. Technol., vol. 10, no. 2, pp. 120–136, 2019, doi: 10.30935/cet.554469.
S. Chatterjee and K. K. Bhattacharjee, “Adoption of artificial intelligence in higher education: a quantitative analysis using structural equation modelling,” Educ. Inf. Technol., vol. 25, no. 5, pp. 3443–3463, 2020, doi: 10.1007/s10639-020-10159-7.
G. Makransky and G. B. Petersen, “The Cognitive Affective Model of Immersive Learning (CAMIL): a Theoretical Research-Based Model of Learning in Immersive Virtual Reality,” Educ. Psychol. Rev., vol. 33, no. 3, pp. 937–958, 2021, doi: 10.1007/s10648-020-09586-2.
T. K. F. Chiu, Q. Xia, X. Zhou, C. S. Chai, and M. Cheng, “Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education,” Comput. Educ. Artif. Intell., vol. 4, p. 100118, 2023, doi: https://doi.org/10.1016/j.caeai.2022.100118.
L. Chen, P. Chen, and Z. Lin, “Artificial Intelligence in Education: A Review,” IEEE Access, vol. 8, pp. 75264–75278, 2020, doi: 10.1109/ACCESS.2020.2988510. 450
I. Roll and R. Wylie, “Evolution and Revolution in Artificial Intelligence in Education,” Int. J. Artif. Intell. Educ., vol. 26, no. 2, pp. 582–599, 2016, doi: 10.1007/s40593-016-0110-3.
X. Huang, “Aims for cultivating students’ key competencies based on artificial intelligence education in China,” Educ. Inf. Technol., vol. 26, no. 5, pp. 5127–5147, 2021, doi: 10.1007/s10639-021-10530-2.
D. Beck, “Special Issue: Augmented and Virtual Reality in Education: Immersive Learning Research,” J. Educ. Comput. Res., vol. 57, no. 7, pp. 1619–1625, Jun. 2019, doi: 10.1177/0735633119854035.
H. Altinpulluk, “Determining the trends of using augmented reality in education between 2006-2016,” Educ. Inf. Technol., vol. 24, no. 2, pp. 1089–1114, 2019, doi: 10.1007/s10639-018-9806-3.
J. López-Belmonte, A.-J. Moreno-Guerrero, J.-A. López-Núñez, and F.-J. Hinojo-Lucena, “Augmented reality in education. A scientific mapping in Web of Science,” Interact. Learn. Environ., vol. 31, no. 4, pp. 1860–1874, May 2023, doi: 10.1080/10494820.2020.1859546.
M. A. Kuhail, A. ElSayary, S. Farooq, and A. Alghamdi, “Exploring Immersive Learning Experiences: A Survey,” Informatics, vol. 9, no. 4. 2022, doi: 10.3390/informatics9040075.
C. B. De Lima, S. Walton, and T. Owen, “A critical outlook at augmented reality and its adoption in education,” Comput. Educ. Open, vol. 3, p. 100103, 2022, doi: https://doi.org/10.1016/j.caeo.2022.100103.
S. Mystakidis and V. Lympouridis, “Immersive Learning,” Encyclopedia, vol. 3, no. 2. pp. 396–405, 2023, doi: 10.3390/encyclopedia3020026.
L.-M. Putz, F. Hofbauer, and H. Treiblmaier, “Can gamification help to improve education? Findings from a longitudinal study,” Comput. Human Behav., vol. 110, p. 106392, 2020, doi: https://doi.org/10.1016/j.chb.2020.106392.
R. Huang et al., “The impact of gamification in educational settings on student learning outcomes: a metaanalysis,” Educ. Technol. Res. Dev., vol. 68, no. 4, pp. 1875–1901, 2020, doi: 10.1007/s11423-020-09807-z.
M. J. Santos-Villalba, J. J. Leiva Olivencia, M. R. Navas-Parejo, and M. D. Benítez-Márquez, “Higher Education Students’ Assessments towards Gamification and Sustainability: A Case Study,” Sustainability,
W. Oliveira et al., “Tailored gamification in education: A literature review and future agenda,” Educ. Inf. Technol., vol. 28, no. 1, pp. 373–406, 2023, doi: 10.1007/s10639-022-11122-4.
M. Martínez-Núñez, Á. Fidalgo-Blanco, and O. Borrás-Gené, “New challenges for the motivation and learning in engineering education using gamification in MOOC,” Int. J. Eng. Educ., vol. 32, pp. 501–512, 2015, [Online]. Available: https://api.semanticscholar.org/CorpusID:8140060.
J. Pallant, SPSS survival manual: a step-by-step guide to data analysis using SPSS, 6th ed. Berkshire: Open University Press, 2016.
J. F. Hair, G. T. M. Hult, C. M. Ringle, and M. Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Los Angeles: Sage Publications Inc., 2014.
K. Ofosu-Ampong, “The Shift to Gamification in Education: A Review on Dominant Issues,” J. Educ. Technol. Syst., vol. 49, no. 1, pp. 113–137, Apr. 2020, doi: 10.1177/0047239520917629.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Ahmad Rais Mohamad Mokhtar, Veera Pandiyan Kaliani Sundram, Melissa Shahrom
This work is licensed under a Creative Commons Attribution 4.0 International License.
