Knowledge Management, Industry 4.0 and Islamic Perspective: a Literature Review
Abstract
This paper discusses the relationship between Industry 4.0 and Islamic Perspectives. The fourth Industrial revolution is substantially the following stage in the digitization of the manufacturing sector. It provides a new approach of doing business and new sources of creating value. Industry 4.0 involves big data analytics. This will expose to information including sensitive or undisclosed information. As a syumul deen, Islam outlines the rules in shariah law and the purpose is described in Maqasid Shariah. The main purpose is to create the goodness and to prevent the harm. It includes five principles which are protecting deen, protecting life, protecting mind, protecting generation and protecting wealth. As an inventor or user of technology, these five aspects should be considered before making any resolution, so that the digital products and data-based services comply with the Islam guidelines.
References
Akhtar, S.W. The Islamic concept of knowledge. Al-Tawhid: A Quarterly
Journal of Islamic Tought & Culture, 12 (3). 1997.
Bordoloi, P., & Islam, N. Knowledge Management Practices and Healthcare Delivery Performance: A Contigency Framework. The Electronic Journal of Knowledge Management, 10(2), 110–120. Retrieved from http://academic-conferences.org/pdfs/icickm11_best_phd_paper.pdf. 2012.
Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. How virtualization, decentralization, 8(1), 37–44. 2014.
Bughin J., Chui, M., & Manyika, J. An executive’s guide to the Internet of
Things. McKinsey Quarterly. 2015.
Dave, M., Dave, M., & Shishodia, Y. S. Emerging Trends and Technologies in Knowledge Management : A Holistic Vision. International Journal of Recent Research and Review, 3(1), 60–67. 2012.
Gilchrist, A. Introduction Industry 4.0. In Industry 4.0 (pp.195-215). Apress, 2016.
Hermann, M., Pentek, T., & Otto, B. Design principles for industry 4.0
Scenarios. In System Sciences (HICSS), 2016 4th Hawai International Conference
on (pp. 3928-3937).IEEE, 2016.
In, E. X., & Ata, S. E. D. B Ig D Ata a Nalytics, 36(4), 1165–1188. https://doi.org/10.5121/ijdps.2017.8101. 2018.
Khan, Z., & Vorley, T. Big data text analytics: an enabler of knowledge management. Journal of Knowledge Management, 21(1), 18–34. https://doi.org/10.1108/JKM-06-2015-0238 , 2017.
Lee, J., Bagheri, B., & Kao, H. A. A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3(December), 18–23. https://doi.org/10.1016/j.mfglet.2014.12.001. 2015.
Lindberg, D. C. The Rise of Early Modern Science: Islam, China, and the West. Toby E. Huff . Speculum, 70(2), 390–392. https://doi.org/10.2307/2864929. 2006.
Machlup, F., Frost, A., Forcada, N., Fuertes, A., Gangolells, M., Casals, M., … Ferrada, X. Successful Knowledge Management Projects Thomas H Davenport ; David W De Long ; Michael C Beers. Automation in Construction, 18(1), 43. https://doi.org/10.1016/j.autcon.2008.10.009. 2016
Mosterman, P.J., & Zander, J. Industry 4.0 as a cyber-physical system study.
Software & Systems Modeling, 15 (1), 17-29, 2016.
Rowley, J. What is knowledge management?. Library Management, 20 (8), 416-
, 1999.
Sadeghi, A. R., Wachsmann, C., & Waidner, M. Security and privacy
challenges in industial internet of things. In Design Automation Conference (DAC), 2015 52nd ACM/ADEC/IEEE (pp.1-6). IEEE, 2015.
Saldivar, A. A. F., Goh, C., Li, Y., Yu, H., & Chen, Y. Attribute identification and predictive customisation using fuzzy clustering and genetic search for Industry 4.0 environments. SKIMA 2016 - 2016 10th International Conference on Software, Knowledge, Information Management and Applications, (December 2016), 79–86. https://doi.org/10.1109/SKIMA.2016.7916201. 2017.
Strange, R., & Zucchella, A. Industry 4.0, global value chains and international business. Multinational Business Review, 24 (3), (pp.174-184). 2017.
Sultan, N. Knowledge Management in the age of cloud computing and Web 2.0 Experiencing the power of distruptive innovations. International journal of information management, 33 (1), 160-165. 2013.
Townley, C.T. Knowledge Management and academic libraries. College & research libraries, 62 (1), 44-55. 2001.
Tupa,J., Simota, J., & Steiner =, F. Aspects of Risk Management Implementation for Industry 4.0. Procedia Manufacturing, 11,1223-1230. 2017.
Yin, S., & Kaynak, O. Big data for modern industry: challenges and trends (point of view). Proceedings of the IEEE, 103 (2), 143-146. 2015.
Zemaitis, E. Knowledge management in open innovation paradigm context: high tech sector perspective. Procedia-Socual and Behavioral Sciences, 110, 164-173.2014.
Zhang, L., Wang, H., Cao. X., & Zhao, K. Knowledge management component in managing human resources for enterprises. Information Technology and Management, 13 (4), 341-349.2012.
Zheng, Z., Wang, P., Liu, J., & Sun, S. Real-time big data processing framework: challenge and solutions. Applied Mathematics & Information Sciences, 9 (6), 3169. 2015.
Zhou, K., Liu, T., & Zhou, L. Industry 4.0: Towards future industrial opportunities and challenges. In Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on (pp.2147-2152). IEEE. 2015.
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