PROSPECTS FOR THE MANAGEMENT OF KNOWLEDGE IN THE CONTEXT OF INDUSTRY 4.0
DOI:
https://doi.org/10.24325/issn.2446-5763.v4i10p126-145Keywords:
Gestão do Conhecimento, Inteligência Competitiva, Indústria 4.0, Fábricas Inteligentes, Knowledge Management, Competitive intelligence, Industry 4.0, Smart FactoriesAbstract
Through an analysis of the context of modern organizations, it is clear that knowledge is directly related to competitive intelligence and the strategies adopted by decision makers, which highlights the extremely important role of knowledge both to promote process efficiency and to provide competitive advantages to organizations. Some technological concepts such as Internet of Things and Big Data can be understood as facilitating mechanisms of this process. Thus, the literature is marked by innumerable researches focused on the construction of approaches and guidelines for the development of Knowledge Management in the most diverse business contexts. The presente research was conducted in an exploratory way, through a bibliographical review, aiming to promote the identification of aspects that influence the development of Knowledge Management in the context of organizations aligned with the proposal of Industry 4.0, in order to define forms and mechanisms to maximize the chances of success of this transformation. The results demonstrate the importance of People Management to minimize the risks of organizational changes, since the consolidation of an "smart factory" reflects in the knowledge necessary for human agents working in this context. Therefore, companies need to organize themselves around digital power and encourage scalable learning in order to promote the use of external knowledge resources and to combine information that would influence the adoption of effective strategies.
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References
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BOSUA, R.; VENKITACHALAM, K. Aligning strategies and processes in knowledge management: a framework. Journal of Knowledge Management, v. 17, n. 3, p. 331-346, 2013.
BURNS, A. C.; BUSH, R. F. Marketing Research. 5. ed. Upper Saddle River, NJ: Pearson Education, 2006.
CARVALHO, F. C. A. Gestão do conhecimento. São Paulo: Pearson, 2012.
CHEN, C. J.; HUANG, J. W. Strategic human resource practices and innovation performance: the mediating role of knowledge management capacity. Journal of Business Research, v. 62, n. 1, p. 104-114, 2009.
COOPER, J.; JAMES, A. Challenges for database management in the Internet of Things. IETE Technical Review, v. 26, n. 5, p. 320-329, 2009.
DAVENPORT, T. H.; PRUSAK, L. Conhecimento empresarial. Rio de Janeiro: Campus, 1998.
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DUTTA, D.; BOSE, I. Managing a Big Data project: the case of Ramco cements limited. International Journal of Production Economics, v. 165, July, 293-306, 2015.
GONZALEZ, R. V. D.; MARTINS, M. F. Knowledge management: an analysis from the organizational development. Journal of Technology Management & Innovation, v. 9, n. 1, p. 131-147, 2014.
HOZDIĆ, E. Smart factory for Industry 4.0: a review. International Journal of Modern Manufacturing Technologies, v. 7, n. 1, p. 28-35, 2015.
IVANOV, D.; DOLGUI, A.; SOKOLOV, B.; WERNER, F.; IVANOVA, M. A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory Industry 4.0. International Journal of Production Research, v. 54, n. 2, p. 386-402, 2016.
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POSADA, J.; TORO, C.; BARANDIARAN, I.; OYARZUN, D.; STRICKER, D.; AMICIS, R.; PINTO, E. B.; EISERT, P.; DÖLLNER, J.; VALLARINO, I. Visual computing as a key enabling technology for industrie 4.0 and industrial internet. IEEE Computer Graphics and Applications, v. 35, n. 2, p. 26-40, 2015.
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SANDERS, A.; ELANGESWARAN, C.; WULFSBERG, J. Industry 4.0 implies lean manufacturing: research activities in Industry 4.0 function as enablers for lean manufacturing. Journal of Industrial Engineering and Management, v. 9, n. 3, p. 811-833, 2016.
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SILVA, M. R. Gestão do conhecimento: estratégia para competitividade nas organizações. In: CONGRESSO NACIONAL DE EXCELÊNCIA EM GESTÃO, 12., 2016, Rio de Janeiro. Anais... Rio de Janeiro: CNEG & INOVARSE.
SKERLAVAJ, M.; STENBERGER, M. I.; SKRINJAR, R.; DIMOVSKI, V. Organizational learning culture: the missing link between business process change and organizational performance. International Journal of Production Economics, v. 106, n. 2, p. 346-367, 2007.
SMIRAGLIA, R. P.; HEUVEL, C. V. D. Classifications and concepts: towards elementary theory of knowledge interaction. Journal of Documentation, v. 69, n. 3, p. 360-383, 2013.
SOLIMAN, F.; YOUSSEF, M. A. Internet-based e-commerce and its impact on manufacturing and business operations. Industrial Management & Data Systems, v. 103, n. 8, p. 546–552, 2003.
SPATH, D.; GERLACH, S.; HÄMMERLE, M.; SCHLUND, S.; STRÖLIN, T. Cyber-physical system for selforganised and flexible labour utilisation. In: INTERNATIONAL CONFERENCE ON PRODUCTION RESEARCH, 22., 2013, Foz do Iguaçu. Proceedings... Foz do Iguaçu: ICPR.
TRSTENJAK, M.; COSIC, P. Process planning in Industry 4.0 environment. Procedia Manufacturing, v. 11, p. 1744-1750, 2017.
TUOMI, I. Data is more than knowledge: implications of the reversed knowledge hierarchy for knowledge management and organization memory. Journal of Management Information Systems, v. 16, n. 3, p. 103-117, 1999.
VOSGERAU, D. S. A. R.; ROMANOWSKI, J. P. Estudos de revisão: implicações conceituais e metodológicas. Revista Diálogo Educacional, v. 14, n. 41, p. 165-189, 2014.
WALLER, M.; FAWCETT, S. Data Science, Predictive Analytics, and Big Data: a revolution that will transform Supply Chain design and management. Journal of Business Logistics, v. 34, n. 2, p. 77-84, 2013.
WANG. S.; WAN, J.; LI, D.; ZHANG, C. Implementing smart factory of Industrie 4.0: an outlook. International Journal of Distributed Sensor Networks, v. 12, n. 1, p. 1-10, 2016.
ZINS, C. Conceptual approaches for defining data, information, and knowledge. Journal of the American Society for Information Science and Technology, v. 58, n. 4, p. 479-493, 2007.
______; SCHATZ, A.; JÄGER, J. Komplexität bewirtschaften: Industrie 4.0 und die Folgen. Zeitschrift für wirtschaftlichen Fabrikbetrieb, v. 109, n. 5, p. 347-350, 2014.
BEM, R. M.; RIBEIRO JÚNIOR, D. I. A gestão do conhecimento dentro das organizações: contribuição do bibliotecário. Revista ACB, v. 11, n. 1, p. 75-82, 2006.
BERNSTEIN, J. H. The data-information-knowledge-wisdom hierarchy and its antithesis. In: NORTH AMERICAN SYMPOSIUM ON KNOWLEDGE ORGANIZATION, 2., 2009, Syracuse, NY. Proceedings... Syracuse: NASKO, 2009.
BOSUA, R.; VENKITACHALAM, K. Aligning strategies and processes in knowledge management: a framework. Journal of Knowledge Management, v. 17, n. 3, p. 331-346, 2013.
BURNS, A. C.; BUSH, R. F. Marketing Research. 5. ed. Upper Saddle River, NJ: Pearson Education, 2006.
CARVALHO, F. C. A. Gestão do conhecimento. São Paulo: Pearson, 2012.
CHEN, C. J.; HUANG, J. W. Strategic human resource practices and innovation performance: the mediating role of knowledge management capacity. Journal of Business Research, v. 62, n. 1, p. 104-114, 2009.
COOPER, J.; JAMES, A. Challenges for database management in the Internet of Things. IETE Technical Review, v. 26, n. 5, p. 320-329, 2009.
DAVENPORT, T. H.; PRUSAK, L. Conhecimento empresarial. Rio de Janeiro: Campus, 1998.
DOMINICI, G.; ROBLEK, V.; ABBATE, T.; TANI, M. Click and drive: consumer attitude to product development: towards future transformations of driving experience. Business Process Management Journal, v. 22, n. 2, p. 420-434, 2016.
DUTTA, D.; BOSE, I. Managing a Big Data project: the case of Ramco cements limited. International Journal of Production Economics, v. 165, July, 293-306, 2015.
GONZALEZ, R. V. D.; MARTINS, M. F. Knowledge management: an analysis from the organizational development. Journal of Technology Management & Innovation, v. 9, n. 1, p. 131-147, 2014.
HOZDIĆ, E. Smart factory for Industry 4.0: a review. International Journal of Modern Manufacturing Technologies, v. 7, n. 1, p. 28-35, 2015.
IVANOV, D.; DOLGUI, A.; SOKOLOV, B.; WERNER, F.; IVANOVA, M. A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory Industry 4.0. International Journal of Production Research, v. 54, n. 2, p. 386-402, 2016.
KAGERMANN, H.; HELBIG, J.; HELLINGER, A.; WAHLSTER, W. Recommendations for Implementing the strategic initiative Industrie 4.0: securing the future of german manufacturing industry. Final Report of the Industrie 4.0 Working Group. Federal Ministry of Education and Research, 2013.
KING, W. R. Knowledge management and organizational learning. In: KING, W. R. (Org.). Knowledge management and organizational learning: Annals of Information Systems. 4. ed. New York, NY: Springer, 2009.
KLEIN, D. A. A gestão estratégica do capital intelectual. Rio de Janeiro: Qualitymark, 1998.
LASI, H.; FETTKE, P.; KEMPER, H. G.; FELD, T.; HOFFMANN, M. Industry 4.0. Business & Information Systems Engineering, v. 6, n. 4, p. 239-242, 2014.
LAURSEN, K.; FOSS, N. J. New human resource management practices, complementarities, and the impact on innovation performance. Cambridge Journal of Economics, v. 27, n. 2, p. 243-263, 2003.
LEE, J.; KAO, H. A.; YANG, S. Service innovation and smart analytics for Industry 4.0 and Big Data environment. Procedia CIRP, v. 16, p. 3-8, 2014.
LEONARDI, J.; BASTOS, R. C. Bases epistemológicas da teoria de criação de conhecimento organizacional. Perspectivas em Gestão & Conhecimento, v. 4, n. 2, p. 3-18, 2014.
LYTRAS, M.; POULOUDI, A. Towards the development of a novel taxonomy of knowledge management systems from a learning perspective: an integrated approach to learning and knowledge infrastructures. Journal of Knowledge Management, v. 10, n. 6, p. 64-80, 2006.
MRUGALSKA, B.; WYRWICKA, M. K. Towards Lean Production in Industry 4.0. Procedia Engineering, v. 182, p. 466-473, 2017.
NONAKA, I.; TAKEUCHI, H. Criação de conhecimento na empresa. Rio de Janeiro: Campus, 1997.
POSADA, J.; TORO, C.; BARANDIARAN, I.; OYARZUN, D.; STRICKER, D.; AMICIS, R.; PINTO, E. B.; EISERT, P.; DÖLLNER, J.; VALLARINO, I. Visual computing as a key enabling technology for industrie 4.0 and industrial internet. IEEE Computer Graphics and Applications, v. 35, n. 2, p. 26-40, 2015.
ROBLEK, V.; MEŠKO, M.; KRAPEŽ, A. A complex view of Industry 4.0. SAGE Open, April-June, p. 1-11, 2016.
SANDERS, A.; ELANGESWARAN, C.; WULFSBERG, J. Industry 4.0 implies lean manufacturing: research activities in Industry 4.0 function as enablers for lean manufacturing. Journal of Industrial Engineering and Management, v. 9, n. 3, p. 811-833, 2016.
SCHLECHTENDAHL, J.; KEINERT, M.; KRETSCHMER, F.; LECHLER, A.; VERL, A. Making existing production systems Industry 4.0-ready. Production Engineering, v. 9, n. 1, p. 143-148, 2015.
SHIGUNOV NETO, A.; TEIXEIRA, A. A. Sociedade do conhecimento e ciência administrativa: reflexões iniciais sobre a gestão do conhecimento e suas implicações organizacionais. Perspectivas em Ciência da Informação, v. 11, n. 2, p. 220-232, 2006.
SILVA, S. L. Gestão do conhecimento: uma revisão crítica orientada pela abordagem da criação do conhecimento. Ciência da Informação, v. 33, n. 2, p. 143-151, 2004.
SILVA, M. R. Gestão do conhecimento: estratégia para competitividade nas organizações. In: CONGRESSO NACIONAL DE EXCELÊNCIA EM GESTÃO, 12., 2016, Rio de Janeiro. Anais... Rio de Janeiro: CNEG & INOVARSE.
SKERLAVAJ, M.; STENBERGER, M. I.; SKRINJAR, R.; DIMOVSKI, V. Organizational learning culture: the missing link between business process change and organizational performance. International Journal of Production Economics, v. 106, n. 2, p. 346-367, 2007.
SMIRAGLIA, R. P.; HEUVEL, C. V. D. Classifications and concepts: towards elementary theory of knowledge interaction. Journal of Documentation, v. 69, n. 3, p. 360-383, 2013.
SOLIMAN, F.; YOUSSEF, M. A. Internet-based e-commerce and its impact on manufacturing and business operations. Industrial Management & Data Systems, v. 103, n. 8, p. 546–552, 2003.
SPATH, D.; GERLACH, S.; HÄMMERLE, M.; SCHLUND, S.; STRÖLIN, T. Cyber-physical system for selforganised and flexible labour utilisation. In: INTERNATIONAL CONFERENCE ON PRODUCTION RESEARCH, 22., 2013, Foz do Iguaçu. Proceedings... Foz do Iguaçu: ICPR.
TRSTENJAK, M.; COSIC, P. Process planning in Industry 4.0 environment. Procedia Manufacturing, v. 11, p. 1744-1750, 2017.
TUOMI, I. Data is more than knowledge: implications of the reversed knowledge hierarchy for knowledge management and organization memory. Journal of Management Information Systems, v. 16, n. 3, p. 103-117, 1999.
VOSGERAU, D. S. A. R.; ROMANOWSKI, J. P. Estudos de revisão: implicações conceituais e metodológicas. Revista Diálogo Educacional, v. 14, n. 41, p. 165-189, 2014.
WALLER, M.; FAWCETT, S. Data Science, Predictive Analytics, and Big Data: a revolution that will transform Supply Chain design and management. Journal of Business Logistics, v. 34, n. 2, p. 77-84, 2013.
WANG. S.; WAN, J.; LI, D.; ZHANG, C. Implementing smart factory of Industrie 4.0: an outlook. International Journal of Distributed Sensor Networks, v. 12, n. 1, p. 1-10, 2016.
ZINS, C. Conceptual approaches for defining data, information, and knowledge. Journal of the American Society for Information Science and Technology, v. 58, n. 4, p. 479-493, 2007.
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2018-03-14
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Abreu, P. H. C. de. (2018). PROSPECTS FOR THE MANAGEMENT OF KNOWLEDGE IN THE CONTEXT OF INDUSTRY 4.0. South American Development Society Journal, 4(10), 126–145. https://doi.org/10.24325/issn.2446-5763.v4i10p126-145
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