The Effect of Digital Talent on Individual Innovation Behavior, Skills of Revolution Industry 4.0 as Mediator Variables

Main Article Content

Riri Nofrita
Insannul Kamil
Jonrinaldi Jonrinaldi http://orcid.org/0000-0001-6666-2734

Berry Yuliandra http://orcid.org/0000-0003-3758-3521

Irsyadul Halim

Keywords

industry

Abstract

In the face of the Revolution industry 4.0, global connection, artificial intelligence, and automation have disrupted technology. This made the industrial world's development in work competition, not linear and even created new jobs. Digital talent and innovation are needed to face the world of work. This study discusses the construct effect between digital talent, individual innovation behavior, and Skills Revolution Industry 4.0, and the effect of Skills Revolution Industry 4.0) as a mediator to digital talent constructs' relationship. Data collection is obtained directly (face to face).  Samples were previously clustered by sampling technique. Questionnaires use the Likert Scale. Then, the data gotten were processed by SEM-PLS with Software 3.8.2. The result showed that digital talent has a positive effect on individual innovation behavior. This meant that skill of revolution industry 4.0 as a construct mediator was successful. The stronger digital talent influences, the stronger individual innovation behavior influences, and it is accelerated with revolution industry skills 4. This study proposes a model to build mastery of digital talent and individual innovation behavior of Universitas Andalas students through the mastery of skills of revolution 4.0 as a mediator. This research can pave the way to improve students' readiness in facing the world of revolution 4.0, one of which is in the field of digital innovation.

Downloads

Download data is not yet available.

References

[1]       A. Benesova and j. Tupa, “Requirements for Education and Qualification of People in Industry 4.0,” Elsevier, Procedia Manuf., vol. 11, no. June, pp. 2195–2202, 2017, https://doi.org/10.1016/j.promfg.2017.07.366.

[2]       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 June, 2014. https://doi.org/10.1177/0149206314527128.

[3]       G. T. Kefela, “Knowledge-Based Economy and Society Has Become a Vital Commodity to Countries,” IJERT Int. J. Educ. Res. Technol., vol. 1, no. 12, pp. 68–75, 2010.

[4]       https://doi.org/10.5897/INGOJ.9000069.

[5]       S. G. Scott and R. A. Bruce, “Determinants of Innovative Behavior: A Path Model of Individual Innovation in the Workplace,” Acad. Manag. J., vol. 37, no. 3, pp. 580–607, 1994, https://doi.org/10.5465/256701.

[6]       O. Janssen, “Job demands, perceptions of effort-reward fairness and innovative work behaviour,” J. Occup. Organ. Psychol., vol. 73, no. 3, pp. 287–302, 2000, https://doi.org/10.1348/096317900167038.  

[7]       B. Lanvin and P. Passman, 2007. Building E-skills for the Information Age. Global Information Technology Report, 2008, pp.77-90.

[8]        J. Posada et al., “Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet,” IEEE Comput. Graph. Appl., vol. 35, no. 2, pp. 26–40, 2015, https://doi.org/10.1109/MCG.2015.45.

[9]       L. Prifti, M. Knigge, H. Kienegger, and H. Krcmar, “A Competency Model for ‘ Industrie 4 . 0 ’ Employees,” pp. 46–60,2017 https://aisel.aisnet.org/. [Accessed: 23 October 2019].

[10]    M. Baygin, H. Yettis, M. Karakose, and E. Akin, "An effect of industry of industry 4.0 to higher education," in proc. Of 2016 15 st Int.Conf. on Information Technology Based Higher Education and Training (ITHET), 8-10 September 2016, Istanbul, Turkey [Online]. Avaiblable: IEEE Xplore, http://www.ieee.org. [Accessed : 23 October 2019]. https://doi.org/10.1109/ITHET.2016.7760744.

[11]    M. Ahmad et al., “The application of 21st century ict literacy model among teacher trainees,” Turkish Online J. Educ. Technol., vol. 15, no. 3, pp. 151–161, Juli 2016. https://eric.ed.gov/?id [Accessed: 23 October 2019].

[12]    Jong, J.D and Hartog, D.D, “Measuring Innovative Work Behaviour,” Creativity and Innovation Management Volume 19, Issue 1, February, 2010. https://doi.org/10.1111/j.1467-8691.2010.00547.x.

[13]    S. Nicol, “Modelling Information Literacy For Classrom Of The Future,” J. Librariansh Inf.Sci Vol 47 No 4, pp. 303-313, 2015. March 2014 https://journals.sagepub.com.

[14]    https://doi.org/10.1177/0961000614526612.

[15]    K. Schwab, “The Future Job 2018,” Geneva: World Economic Forum, 2018.

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

[17]    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, 2014. https://doi.org/10.1177/0149206311429862.

[18]    The Capgemini, linkedIn “The Digital Talent Gap - Summary,” p. 40, 2017. https://www.capgemini.com [Acessed: March-2019].

[19]    De Jong, P. J. Jeroen, and Deanne N. Den Hartog. "How Leaders Influence Employees' Innovative Behaviour." European Journal of Innovation Management 2007. https://doi.org/10.1108/14601060710720546.

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

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

[22]    J. F. Hair et al., "Partial Least Squares Structural Equation Modeling (PLS-SEM); an emerging tool in business research.vol. 26, no. 2. https://doi.org/10.1108/EBR-10-2013-0128.

[23]    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.

[24]    Sugiyono. Metode Penelitian Administratif, Bandung;Alfabeta. 2010.

[25]    C. M. Ringle et al., “Partial Least Squares Structural Equation Modeling in HRM research,” Informa UK Limited, trading as Taylor & Francis Group, 2018. https://doi.org/10.1080/09585192.2017.1416655.

[26]    S. Thanuskodi, "Gender Differences in Internet Usage among College Students: A Comparative Study" (2013). Library Philosophy and Practice (e-journal). 1052. http://digitalcommons.unl.edu/libphilprac/1052.

Similar Articles

1 2 3 4 5 6 7 8 9 > >> 

You may also start an advanced similarity search for this article.