Extração de conhecimento em organizações e serviços a partir da modelagem de processos
Uma análise bibliométrica
DOI:
https://doi.org/10.18225/ci.inf.v54i1.6200Keywords:
gestão do conhecimento, BPMN, gerenciamento de processos de negócios, bibliometriaAbstract
The ability of organizations to put into practice continuous innovation is directly linked to their response in mobilizing the existing knowledge aiming at organizational learning. This article aims to answer the following question, by means of a bibliometric study: what is the most commonly used technique for extracting knowledge from business process modeling? The bibliometric analysis made it possible to establish relevant associations between the most cited authors, the most relevant papers, the main sources, as well as the countries with the greatest contributions in publications, and the main methods used. The sample included 91 studies from 65 sources, published in the scientific platforms Scopus and Web of Science. Since 2004 there has been an increase in bibliographic production, especially in countries like China, United States and Germany, being 2011 and 2014 the most productive years, characterizing the proposed theme as relatively new in scientific literature, with the possibility of future work involving a more comprehensive bibliometric analysis, through the inclusion of new metrics and other scientific databases, as well as a systematic literature review addressing the extraction of knowledge in organizations and services, based on business process modeling.
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References
ABPMP. Guia para o Gerenciamento de Processos de Negócios, Corpo Comum de Conhecimento: ABPMP BPM CBOK. Brasília - DF: ABPMP Brasil, 2020.
ARIA, M.; CUCCURULLO, C. Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, v. 11, n. 4, p. 959–975, 2017.
ALVARENGA NETO, R. C. D. Gestão do Conhecimento em Organizações: Proposta de Mapeamento Conceitual Integrativo. Tese (Doutorado em Ciência da Informação) PPGCI, Escola de Ciência da Informação da UFMG, Belo Horizonte, 2005.
CALVANESE, D.; MONTALI, M., SYAMSIYAB, A.; VAN DER AALST, W.M.P. Ontology-Driven Extraction of Event Logs from Relational Databases. In: Reichert M., Reijers H. (eds) Business Process Management Workshops. BPM 2016. Lecture Notes in Business Information Processing, vol 256. Springer, Cham. https://doi-org.ez135.periodicos.capes.gov.br/10.1007/978-3-319-42887-1_12.
CLARIVATE ANALYTICS. Disponível em: https://support.clarivate.com/ScientificandAcademicResearch/s/article/KeyWords-Plus-generation-creation-and-changes?language=en_US. 2022, Acesso em: 03/02/2022.
COOPER, D. R., SCHINDLER, P. S. Métodos de pesquisa em administração. Porto Alegre: Bookman, 2003.
DESAI, N.; VERAS, L.; GOSAIN, A. Using Bradford’s law of scattering to identify the core journals of pediatric surgery. Journal of Surgical Research, vol. 229, pp. 90–95, Sep. 2018.
DIJKMAN, R.; LAMMERS, S. V.; JONG, A. de. Properties that influence business process management maturity and its effect on organizational performance. Information Systems Frontiers, pp. 1-18, 2015.
DUSTDAR, S.; HOFFMANN, T.; AALST, W. V. D. Mining of ad-hoc business processes with TeamLog. Data & Knowledge Engineering, Volume 55, Issue 2, 2005, Pages 129-158, ISSN 0169-023X.
GARFIELD, E.; SHER, I. H. Key words plus [TM]-algorithmic derivative indexing. Journal of the American Society for Information Science, vol. 44, p. 298, 1993.
GEIERHOS, M.; SCHULZE, S.; SIMON BÄUMER, F. What Did You Mean? - Facing the Challenges of User-generated Software Requirements. In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: PUaNLP, (ICAART 2015) ISBN 978-989-758-073-4; ISSN 2184-433X, pages 277-283. DOI: 10.5220/0005346002770283, 2015.
GUO, L.; SHARMA, R.; YIN, L.; LU, R.; RONG, K. Automated competitor analysis using big data analytics: Evidence from the fitness mobile app business. Business Process Management Journal, Vol. 23 No. 3, pp. 735-762, 2017. https://doi-org.ez135.periodicos.capes.gov.br/10.1108/BPMJ-05-2015-0065
HARMON, P. Business Process Change: A Business Process Management Guide for Managers and Process Professionals. Cambridge, U.K.: Morgan Kaufmann, 2019.
HIRSCH, J. E. An index to quantify an individual's scientific research output. Proceedings of the National academy of Sciences, v. 102, n. 46, p. 16569-16572, 2005.
JESTON, J. Business Process Management: Practical Guidelines to Successful Implementations, 4th ed. New York, NY, USA, 2018.
KHATIB, S. F. A.; ABDULLAH, D. F.; HENDRAWATY, E.; ELAMER, A. A. A bibliometric analysis of cash holdings literature: current status, development, and agenda for future research. Management Review Quarterly, 9 mar. 2021.
LI, J.; WANG, H. J.; Bai, X. An intelligent approach to data extraction and task identification for process mining. Information Systems Frontiers, 17, 1195–1208, 2015. https://doi-org.ez135.periodicos.capes.gov.br/10.1007/s10796-015-9564-3
LIZANO-MORA, H.; PALOS-SÁNCHEZ, P. R.; AGUAYO-CAMACHO, M. The evolution of business process management: A bibliometric analysis. IEEE Access, v. 9, p. 51088-51105, 2021.
MOELLER, Sabine. Characteristics of services–a new approach uncovers their value. Journal of services Marketing, 2010.
MOURA, L. K. B., MESQUITA, R. F., MOBIN, M., MATOS, F. T. C., MONTE, T. L., LAGO, E. C., FALCAÕ A, C. A. M., FERRAZ, M. A. de A. L., SANTOS, T. C., & SOUZA, L. R. M. Uses of Bibliometric Techniques in Public Health Research. Iranian Journal of Public Health, 46 (10), 1435-1436, 2017.
MUNIZ, E. C. L.; DANDOLINI, G. A.; BIZ, A. A. A Customer Knowledge Management Framework. Journal of Information & Knowledge Management, vol. 20, No. 3, 2021.
OKOYE, K.; TAWIL, A. H.; NAEEM, U.; BASHROUSH, R.; LAMINE, E. A Semantic Rule-based Approach Supported by Process Mining for Personalised Adaptive Learning. Procedia Computer Science, Volume 37, 2014, Pages 203-210, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2014.08.031.
RIEHMANN, P.; HANFLER, M.; FROEHLICH, B. Interactive sankey diagrams. In: IEEE Symposium on Information Visualization, 2005. INFOVIS 2005. IEEE, 2005. p. 233-240.
ROOS, M.; MARSHALL, M.S.; GIBSON, A.P. et al. Structuring and extracting knowledge for the support of hypothesis generation in molecular biology. BMC Bioinformatics 10, S9 (2009). https://doi-org.ez135.periodicos.capes.gov.br/10.1186/1471-2105-10-S10-S9
ROSSETTI, A.; PACHECO, A. P. R.; SALLES, B.; GARCIA, M.; SANTOS, N. A organização baseada no conhecimento: novas estruturas, estratégias e redes de relacionamento; Ciência da Informação, Brasília, v. 37, n. 1, p. 61-72, jan./abr. 2008.
SANTOS, J. L. S.; LEOCÁDIO, L.; VARVAKIS, G. Gestão do Conhecimento como Processo: relação com tecnologias da informação e comunicação (TIC) e estratégia organizacional. . Acesso em 19/02/2022, v. 15, 2007.
SANTOS, L. C.; VARVAKIS, G. Projeto e análise de processos de serviços: uma avaliação de técnicas de representação. Produto & Produção, v. 5, n. 3, 2001.
SANTOS, N. dos; RADOS, G. J. V. Fundamentos Teóricos da Gestão do Conhecimento. 1. ed. – Florianópolis: Pandion, 2020. ISBN: 978-65-86527-01-8 (e-book). Disponível em: https://www.editorapandion.com/fundamentos-teoricos-de-gestao-do-conhecimento. Acesso em: 15/12/2021.
SANTOS, R. N. M.; KOBASHI, N. Y. Bibliometria, cientometria, infometria: conceitos e aplicações. Tendências da Pesquisa Brasileira em Ciência da Informação, v. 2, n. 1, p.155–172, 2009.
SCHÖNIG S., CABANILLAS C., JABLONSKI S., MENDLING J. Mining the Organisational Perspective in Agile Business Processes. In: Gaaloul K., Schmidt R., Nurcan S., Guerreiro S., Ma Q. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS 2015, EMMSAD 2015. Lecture Notes in Business Information Processing, vol 214. Springer, Cham., 2015.
SEVINC, M.; LOCKER, L.; MURRAY, J. D. Automation vs. Human Intervention: Is There any Room Left for the Analyst in the Data Mining Process? - Handbook of Research on Knowledge – Intensives Organizations. Information Science. Hershey, New York, 2009.
SPRINGER NATURE. Lecture Notes in Computer Science. Disponível em: https://www.springer.com/gp/computer-science/lncs. Acesso em: 15/02/2022.
TAKEUCHI, H.; NONAKA, I. Gestão do Conhecimento. Porto Alegre: Bookman, 2008. Edição do Kindle.
URIONA-MALDONADO, M.; SANTOS, R. N. M.; VARVAKIS, G. State of the art on the Systems of Innovation research: a bibliometrics study up to 2009. Scientometrics (Print) JCR, v. 91, p. 977- 996, 2012.
WANG, Y.; CARON, F.; VANTHIENEN, J.; HUANG, L.; GUO, Y. Acquiring logistics process intelligence: Methodology and an application for a Chinese bulk port. Expert Systems with Applications, Volume 41, Issue 1, 2014, Pages 195-209, ISSN 0957-4174.
WEIDLICH, M.; ZIEKOW, H.; GAL, A.; MENDLING, J.; WESKE, M. Optimizing Event Pattern Matching Using Business Process Models, in IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 11, pp. 2759-2773, Nov. 2014, doi: 10.1109/TKDE.2014.2302306.
ZUPIC, I.; CATER, T. Bibliometric methods in management and organization. Organizational Research Methods, v. 18, n. 3, p. 429-472, 2015.
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