Mastery of Skills 4.0 Effect on The Readiness of College Students in Facing Revolution of Industry 4.0

Isna Juwita; Insannul Kamil; Jonrinaldi Jonrinaldi; Berry Yuliandra; Irsyadul Halim

doi:10.25077/josi.v19.n1.p1-11.2020

Isna Juwita

Universitas Andalas

Insannul Kamil

Universitas Andalas

Jonrinaldi Jonrinaldi

Universitas Andalas

Berry Yuliandra

Universitas Andalas

Irsyadul Halim

Universitas Andalas

Keywords

industry

Abstract

Revolution of industry 4.0 initiated by the German government, starting from the development of individual innovation behavior especially in the fields of robotics, digital technology, and information, has caused distortions to the future skills requirements. Some of the skills needed a lot in the past are now starting to experience a shift towards less needed. Some are even unnecessary because they are replaced by automation and robots. The emergence of several new skills (skills 4.0) that are more dominant is needed to make every interested party to prepare themselves to face the challenges of the revolution of industry 4.0. Students are one of the interested parties who will face the challenges of the revolution of industry 4.0 after they graduates from the formal higher education. This study determines the readiness of students in facing the revolution of industry 4.0, influenced by the mastery of skills 4.0 and individual innovation behavior with their innovation behavior as a mediating variable. Respondents in this study are 233 undergraduate students of the Andalas University. Using a cluster sampling technique, the data is collected using Likert scale based- questionnaire after which calculations are then performed using the Smart-PLS Program software 3.2.8. The results show that skills 4.0 and individual innovation behavior have a positive effect on students' readiness in facing the challenges of the revolution of industry 4.0. It implies that the students need to improve their mastery of skills 4.0 in order to prepare themselves to face the challenges of the revolution of industry 4.0.

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References

[1] L. Palazzeschi, O. Bucci, and A. Di Fabio A, “Re-thinking Innovation in Organizations in the Industry 4.0 Scenario: New Challenges in a Primary Prevention Perspective,” Front. Psychol., vol. 9(30), January 2018. https://doi.org/10.3389/fpsyg.2018.00030.

[2] M. M. Hammond, et al., “Predictors of Individual-Level Innovation at Work: A Meta-Analysis,” Psychology of Aesthetics, Creativity, and the Arts, vol. 5(1), pp. 90–105, 2011. https://doi.org/10.1037/a0018556.

[3] N. R. Anderson, K. Potočnik, and J. Zhou, “Innovation and Creativity in Organizations: A State-of-the-Science Review, Prospective Commentary, and Guiding Framework.” Journal of Management, vol. 40(5), pp. 1297-1333, June 2014. https://doi.org/10.1177/0149206314527128.

[4] S. G. Scott and R. A. Bruce, “Determinants of Innovative Behavior: A Path Model of Individual Innovation in the Workplace,” The Academy of Management Journal, vol. 37(3), pp. 580-607, June, 1994. https://doi.org/10.2307/256701.

[5] M. Lukes and U. Stephen, “Measuring employee innovation A review of existing scales and the development of the innovative behavior and innovation support inventories across cultures,” Emerald Publishing Limited, vol. 23(1), pp. 136–158, January 2017. https://doi.org/10.1108/IJEBR-11-2015-0262.

[6] I. Kamil and B. Yuliandra, “Studi Pengaruh Perilaku Inovasi Individu Terhadap Kemampuan Technopreneurship Mahasiswa,” Forum Tahunan Pengembangan Iptek dan Inovasi Nasional VII, 2017.

[7] Y. Shin, et al., “Design for experience innovation: understanding user experience in new product development,” Behaviour and Information Technology. Taylor & Francis Group, vol. 36(12), pp. 1218-1234, August 2017.

https://doi.org/10.1080/0144929X.2017.1368709

[8] J. D. Jong and D. D. Hartog, “Measuring Innovative Work Behaviour,” Creativity and Innovation Management, vol. 19(1), pp. 23-36, February 2010. https://doi.org/10.1111/j.1467-8691.2010.00547.

[9] C. H. Wu, S. K. Parker, and J. P. J. de Jong, “Need for Cognition as an Antecedent of Individual Innovation Behavior;” Sage Journals, Southern Management Association, vol. 40(6), pp. 1511-1534, 2014. https://doi.org/10.1177/0149206311429862

[10] K. Schwab, “The Fourth Industrial Revolution,” Geneva: World Economic Forum, 2016. World Economic Forum e-book.

[11] World Economic Forum, “Readiness for the Future of Production Report 2018,” World Economic Forum’s System, Geneva, 2018.

[12] J. Manyika et al., “A Future That Works: Automation, Employment, And Productivity,” McKinsey Global Institute (MGI), January, 2017.

[13] K. Schwab, “The Future of Jobs Report 2018,” World Economic Forum, Geneva, 2018.

[14] A. Schumacher, S. Erolb, and W. Sihn, “A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises,” Elsevier, Procedia CIRP, vol. 52, pp. 161-166, 2016. https://doi.org/10.1016/j.procir.2016.07.040

[15] K. Y. Akdil, A. Ustundag, and E. Cevikcan, “Maturity and Readiness Model for Industry 4.0 Strategy,” Springer International Publishing, Switzerland, pp. 61-94, 2018. https://doi.org/10.1007/978-3-319-57870-5_4

[16] M. Sony and S. Naik, “Key Ingredients for Evaluating Industry 4.0 Readiness for Organizations: A Literature Review,” Benchmarking: An International Journal, Emerald insight, February, 2019. https://doi.org/10.1108/BIJ-09-2018-0284

[17] K. Lichtblau et al., “Impuls-Industrie 4.0 Readiness,” Cologne Institute for Economic Research (IW), FIR at RWTH Aachen University, Cologne, Aachen, VDMA’s IMPULS-Stiftung, 2015.

[18] J. F. Hair et al., “A Primer on Partial Least Squares Structural Equation Modeling (Pls-Sem),” California. 2014. Sage Publications, Inc e-book. https://doi.org/10.1108/EBR-10-2013-0128.

[19] C. M. Ringle et al., “Partial Least Squares Structural Equation Modeling in HRM research,” The International Journal of Resource Management, pp. 1-27, 2018. https://doi.org/10.1080/09585192.2017.1416655.

[20] W. G. Cochran, “Sampling Technique 3^rd edition,” John Wiley & Sons, Inc, New York, 1977.

[21] A. S. Singh and M. B. Masuku, “Sampling Techniques & Determination of Sample Size In Applied Statistics Research: An Overview,” International Journal of Economics, Commerce and Management, vol. II(11), pp. 1-22, ISSN 2348 0386, United Kingdom, 2014.

[22] G. D. Garson, “Partial Least Squares: Regression & Structural Equation Models”. Statistical Associates Publishing, ISBN-10: 1626380392, ISBN-13: 978-1-62638-039-4, Asheboro, 2016.

[23] V. E. Vinzi et al., “Handbook of Partial Least Squares Concepts, Methods and Applications,” Springer, Berlin, 2010.

[24] L. Steinberg et al., “Around the World, Adolescence Is A Time of Heightened Sensation and Immature Self-Regulation,” Developmental Science, vol. 21(2), pp. e12532, 2017. https://doi.org/10.1111/desc.12532.

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Published

Jun 7, 2020

https://doi.org/10.25077/josi.v19.n1.p1-11.2020

How to Cite

[1]

I. Juwita, I. Kamil, J. Jonrinaldi, B. Yuliandra, and I. Halim, “Mastery of Skills 4.0 Effect on The Readiness of College Students in Facing Revolution of Industry 4.0”, J. Optimasi Sist. Ind., vol. 19, no. 1, pp. 1–11, Jun. 2020.

Issue

Vol. 19 No. 1 (2020): Published in June 2020

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Articles

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