A maturidade e o nível de gestão de conhecimento na empresa: uma aplicação do modelo de Nonaka e Takeuchi e a Lógica Fuzzy

Arantes, Lídia Silveira; Martinelli Junior, Orlando; Viegas, Thales de Oliveira Costa; Rohenkoh, Júlio Eduardo

Lídia Silveira Arantes

Universidade Federal do Rio de Janeiro – UFRJ, Instituto de Economia, Programa de Pós-Graduação em Economia, Rio de Janeiro, RJ, Brasil. E-mail: lidiaarantes@gmail.com

http://orcid.org/0000-0003-1297-776X

Orlando Martinelli Junior

Universidade Federal de Santa Maria – UFSM, Departamento de Economia e Relações Internacionais, Santa Maria, RS, Brasil. E-mail: ; julioroh@gmail.com

http://orcid.org/0000-0002-7548-8464

Thales de Oliveira Costa Viegas

Universidade Federal de Santa Maria – UFSM, Departamento de Economia, Santa Maria, RS, Brasil. E-mail: thales.viegas@gmail.com

http://orcid.org/0000-0003-1435-171X

Júlio Eduardo Rohenkoh

Universidade Federal de Santa Maria – UFSM, Departamento de Economia e Relações Internacionais, Santa Maria, RS, Brasil. E-mail: ; julioroh@gmail.com

http://orcid.org/0000-0003-4969-355X

AUTHOR; YEAR AND WORK	AIMS	METHOD AND JUSTIFICATION	RESULTS
Nonaka et al. (1994)Nonaka, I., Byosiere, P., Borucki, C. C., & Konno, N. (1994). Organizational knowledge creation theory: a first comprehensive test. International Business Review, 3(4), 337-351. http://dx.doi.org/10.1016/0969-5931(94)90027-2. http://dx.doi.org/10.1016/0969-5931(94)9...	To build up and test a knowledge creation model from Nonaka's theory (1994).	Confirmatory Factor Analysis	All four knowledge conversion factors or processes (socialization, externalization, combination, and internalization) explain a high variation in the organizational knowledge creation construct.
Creation Theory: A First Comprehensive Test		A business that deals with a rapidly changing environment must not only process information efficiently but also produce information and knowledge.
Li et al. (2009)Li, Y. H., Huang, J. W., & Tsai, M. T. (2009). Entrepreneurial orientation and firm performance: the role of knowledge creation process. Industrial Marketing Management, 38(4), 440-449. http://dx.doi.org/10.1016/j.indmarman.2008.02.004. http://dx.doi.org/10.1016/j.indmarman.20...	To examine how entrepreneurial orientation interferes with business performance through the knowledge creation process.	Confirmatory Factor Analysis	The results have shown that entrepreneurial orientation can positively improve company’s performance. Thus, the knowledge creation process plays a mediating role by which entrepreneurial orientation gives benefits to company’s performance.
Entrepreneurial orientation and firm performance: The role of knowledge creation process		Financial measures, such as market share from sales growth, customer satisfaction, brand value, etc. are not enough to measure the company’s performance.
Goonesekera (2012)Goonesekera, T. (2012). Measuring knowledge management maturity levels in the manufacturing sector using fuzzy logic theory (Doctoral dissertation). La Trobe University, Australia.	To measure knowledge management levels in organizations in the manufacturing industry, aiming to fill this methodological gap.	Fuzzy Logic: Information System Success Model (D&S Success Model)	The results have shown that it was possible to measure the levels of knowledge maturity in each aspect linked to the production department and thus have more accuracy for the investment of knowledge management actions.
Measuring knowledge management maturity levels in the manufacturing sector using the fuzzy logic theory.		Despite the attention to the role of knowledge management, organizations do not have criteria defined for finding out whether or not they are successful in knowledge management.
Oskouei (2013)Oskouei, A. G. (2013). Investigation of knowledge management based on Nonaka and Tekeuchi model in Mashhad Municipality (Doctoral dissertation). Eastern Mediterranean University, Doğu Akdeniz Üniversitesi, Gazimağusa, North Cyprus.	To investigate and determine the knowledge level of Mashhad municipality based on Nonaka & Takeuchi model.	Multiple Regression Analysis	It is concluded from systematization that the investments related to knowledge are in medium and low level, therefore they were classified in critical area. A project based on knowledge management should be implemented.
Investigation of Knowledge Management based on Nonaka and Takeuchi Model in Mashhad Municipality		Companies should make efforts to identify, capture/acquire, and share knowledge. The first step in implementing knowledge management practice is to determine in what level it is.
Akhavan et al. (2017)Akhavan, P., Nabizadeh, M., & Rajabion, L. (2017). Introducing knowledge management pattern at national level applying grounded theory method and fuzzy dematel. VINE Journal of Information and Knowledge Management Systems, 47(3), 372-394. http://dx.doi.org/10.1108/VJIKMS-05-2016-0022. http://dx.doi.org/10.1108/VJIKMS-05-2016... Introducing knowledge management pattern at national level applying grounded theory method and fuzzy dematel	To provide a standard of implementation of knowledge management at the national level and also measure the degree of correlation and importance between the available concepts.	Domatel Fuzzy	A pattern containing the main knowledge management items has been created.
		It is relevant to create a guide for implementing knowledge management at the national level.

Main Analysis: Comparative Analysis of Knowledge Management Maturity in Each Dimension - Segmented by Size
Variables: Initial, Intermediate, and Advanced / Maturity: Low, Medium-Low, Medium, Medium-High, and High
Analyzed Dimensions and Variables	Fuzzy Set Limits Variable Analysis	Fuzzy Suite Limits Management Maturity Analysis
Socialization: Formal training, informal activities, relationship with external project team, product and/or service quality and revenue growth	Initial: Less than 0.5 Intermediate: Between 0, 25, and 0.75 Advanced: Greater than 0.5	Low: Below 0.5 / Medium-Low: Between 0 and 0.5 / Medium: Between 0.25 and 0.75 / Medium-High: Between 0.5 and 0.75 / High: Above 0.75
Outsourcing: Collaborative work, formal practices, knowledge sharing, introduction of new products and/or services and synergy between units.	Conditioned Limits on the Program.	Conditioned Limits on the Program
Combination: database existence, network access, incentive, partnerships, and marketing investment	Initial: [0 0 0.25 0.5] Intermediate: [0.25 0.5 0.75] Advanced: [0.5 0.75 1 1]	Low: [0, 0, 0.25] Medium-low [0, 0.25, 0.5] Medium: [0.25, 0.5, 0.75] Medium-high: [0.5, 0.75, 1] High: [0.75, 1, 1].
Internalization: Capacity Building, Sharing Culture, Written Documentation Storage, Enhanced Skills, and Organizational Culture
Complementary Analysis: Comparative analysis of possible combinations between maturities in knowledge dimensions to shape the level of knowledge management
Levels: Unsatisfactory, Median and Satisfactory
Management Level: SECI Dimensions (Socialization, Externalization, Combination and Internalization)	Fuzzy Suite Limits Management Level Analysis
	Initial: Less than 0.5 Intermediate: Between 0.25 and 0.75 Advanced: Higher than 0.5
	Conditioned Limits on the Program
	Unsatisfactory: [0 0 0.25 0.5] Median: [0.25 0.5 0.75] Satisfactory: [0.5 0.75 1 1].

Size/Dimension	S	Linguistic Variable	E	Linguistic Variable	C	Linguistic Variable	I	Linguistic Variable
Small-sized	0.58	75% Medium and 25% Medium-High	0.56	77% Medium and 23% Medium-High	0.45	79% Medium and 21% Medium-Low	0.42	70% Medium and 30% Medium-Low
Medium-sized	0.6	60% Medium and 40% Medium-High	0.58	75% Medium and 25% Medium-High	0.5	100% Medium	0.46	80% Medium and 20% Medium-Low
Large-sized	0.7	80% Medium-High and 20% Medium	0.68	78% Medium-High and 22% Medium	0.6	60% Medium and 40% Medium-High	0.59	63% Medium and 37% Medium-High

Company size	Knowledge Management Level	Linguistic Variable
Small	0.50	100% Median
Medium	0.54	96% Median and 4% Satisfactory
Large	0.60	60% Median and 40% Satisfactory

[1] Source: own elaboration.

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A maturidade e o nível de gestão de conhecimento na empresa: uma aplicação do modelo de Nonaka e Takeuchi e a Lógica Fuzzy

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