2019
DOI: 10.1590/0103-6513.20180084
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Knowledge sharing in the automotive sector: a comparative study of chinese and brazilian firms

Abstract: Paper aims:This research aims to evaluate factors that influence knowledge sharing in automotive production context in Brazil and China.Originality: Despite the growing recognition of the factors that enable knowledge sharing in organizations, our understanding about the unique challenges encountered by the blue-collar workers in a production context is rather limited. Also, the paper raises issues and challenges involved for production organizations to engage in cross-national knowledge sharing, which remain … Show more

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Cited by 10 publications
(5 citation statements)
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References 110 publications
(116 reference statements)
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“…Potentially significant knowledge sharing factors were selected based on a systematic literature review that started in 2010 (Muniz Jr. et al, 2010a, 2010b) and was updated through a systematic search on the web of science and scopus databases, using the descriptors “knowledge sharing” (Nakano & Muniz Jr., 2018). Items for the Analytic Hierarchy Process (AHP‐IPC) analysis were applied and validated in pilot studies in Brazil (Muniz Jr et al, 2019). Follow up interviews with survey respondents revealed that the factors selected seem to provide sufficient construct and face validity, though for future research we would aim to test the validity of the items using Cronbach's Alpha.…”
Section: Data Sources and Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Potentially significant knowledge sharing factors were selected based on a systematic literature review that started in 2010 (Muniz Jr. et al, 2010a, 2010b) and was updated through a systematic search on the web of science and scopus databases, using the descriptors “knowledge sharing” (Nakano & Muniz Jr., 2018). Items for the Analytic Hierarchy Process (AHP‐IPC) analysis were applied and validated in pilot studies in Brazil (Muniz Jr et al, 2019). Follow up interviews with survey respondents revealed that the factors selected seem to provide sufficient construct and face validity, though for future research we would aim to test the validity of the items using Cronbach's Alpha.…”
Section: Data Sources and Methodsmentioning
confidence: 99%
“…The use of Analytic Hierarchy Process (AHP) developed by Saaty (1980) to some extent addresses these concerns. AHP, as a multi‐criteria decision method, breaks‐down complex decision‐making problems (i.e., with multiple judgments at different levels) into sub‐problems with hierarchical levels (see e.g., Muniz Jr et al, 2019). Each hierarchical level represents a set of attributes or alternatives related to each sub‐problem.…”
Section: Data Sources and Methodsmentioning
confidence: 99%
“…Cabrera and Cabrera (2005) found that team-building and cross-training encourage crossfunctional collaboration, trust and knowledge transfer to increase employee social capital by bringing together employees from different departments. Formal training is found to lead to shared language and closer interpersonal ties in the form of social capital (Victor and Kathaluwage, 2019;Muniz et al, 2019), stimulating knowledge flows within organizations. and enhancing innovation among employees (Jimenez-Jimenez and Sanz-Valle, 2013;Victor and Kathaluwage, 2019).…”
Section: Training and Mentoring And Scaling Social Impactmentioning
confidence: 99%
“…Analytic Hierarchy Process (AHP) is a MCDM method and is commonly used to assess strategy, performance, and ranking alternatives in supply chain and logistics (Sipahi & Timor, 2010). AHP, as a multi-criteria decision method, decomposes complex decision-making problems (i.e., with multiple judgments at different levels of criteria and alternatives) into sub-problems with hierarchical levels (see for example Muniz Jr. et al, 2019).…”
Section: Introductionmentioning
confidence: 99%