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1 – 6 of 6Vinícius Pereira de Souza, Rodrigo Baroni, Chun Wei Choo, José Marcio de Castro and Ricardo Rodrigues Barbosa
This paper aims to propose an integrative and result-driven health-care knowledge management (HKM) model and discuss the findings of a research that examines how the KM…
Abstract
Purpose
This paper aims to propose an integrative and result-driven health-care knowledge management (HKM) model and discuss the findings of a research that examines how the KM initiatives of a major private Brazilian hospital system are linked to its health-care performance outcomes.
Design/methodology/approach
Data were collected from a top-level Brazilian private hospital system (Mater Dei Healthcare System – MDHS), which is composed of three large hospitals internationally accredited by ISO 9001/2000, NIAHO and JCI. Multiple qualitative approaches were used to collect data such as 16 in-depth interviews with health professionals and managers, document analysis, participatory observation and benchmarking interviews with two reference hospital networks in Brazil.
Findings
The proposed health-oriented KM model is an expansion of the organizational knowing cycle model (Choo, 1996), adding absorptive capacity (ACAP) as a new construct. The paper discusses how ACAP integrates with sense-making, knowledge creation and decision-making processes within the health-care context. Information technology and clinical governance were identified as support factors to the HKM processes.
Practical implications
The paper presents a pragmatic and result-driven knowledge management (KM) model using health-care-welfare key performance indicators, as well as the emergence of KM as an integrative and strategic approach to hospital management.
Originality/value
The present study presents a knowledge-based perspective to clinical staff management, demonstrating the tangible results of KM initiatives that contribute to health and management performance outcomes.
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Paulo Renato de Sousa, José Márcio de Castro, Claudia Fabiana Gohr and Marcelo Werneck Barbosa
This study aims to assess suppliers’ learning from knowledge transfers with a global truck manufacturer, considering both source and supplier capacity, and the cultural proximity…
Abstract
Purpose
This study aims to assess suppliers’ learning from knowledge transfers with a global truck manufacturer, considering both source and supplier capacity, and the cultural proximity between the parties.
Design/methodology/approach
A case study was conducted between two factories, one in Brazil and one in Germany. This study adopted a mixed-method sequential explanatory approach, which involves a quantitative phase followed by a qualitative one to provide a better understanding of the studied phenomenon. Quantitative data were collected from the automaker’s suppliers in both countries and analyzed using factor and inferential analyses. Qualitative data were obtained from the automaker’s purchasing executives, and from the company’s suppliers in both countries. Content analysis was used to analyze data.
Findings
Results suggest that both the source’s disseminative capacity and suppliers’ absorptive capacity had a positive effect on suppliers’ learning during knowledge transfers. The study also found out that cultural proximity among parties positively moderates the relationship between suppliers’ absorptive capacity and their learning. However, cultural proximity does not moderate the relationship between a source’s disseminative capacity and supplier learning.
Practical implications
This study’s findings are important to foster knowledge transfers by developing absorptive and disseminative capabilities in the automakers industry, in which the implementation of interorganizational learning is quite challenging due to the large number of strategic providers.
Originality/value
This study contributes to theoretical and conceptual consolidation of knowledge transfer, which includes cultural proximity among parties and the source’s and supplier’s disseminative and absorptive capacities, respectively. This study constructs and validates a model of knowledge transfer using a large automaker with a worldwide presence.
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Danilo Felipe Silva de Lima, Cláudia Fabiana Gohr, Luciano Costa Santos and José Márcio de Castro
This study aims to analyze the knowledge transfer process for implementing a company-specific production system (XPS) from a subsidiary of a multinational corporation (MNC) to its…
Abstract
Purpose
This study aims to analyze the knowledge transfer process for implementing a company-specific production system (XPS) from a subsidiary of a multinational corporation (MNC) to its local suppliers.
Design/methodology/approach
A case study approach was adopted and applied in an automotive supply chain. Empirical data were collected from interviews, observations and internal documents.
Findings
The literature shows that the successful XPS implementation depends on the ability to transfer XPS knowledge; the motivation of the source unit to share XPS knowledge; the value and nature of knowledge embedded in XPS; the effectiveness of individual, social and organizational transfer mechanisms; the motivation and absorptive capacity of the target unit and, the organizational, social and relational contexts in which XPS is transferred. Based on the research findings, we develop 12 propositions and presented them in a framework.
Research limitations/implications
This paper expands and enriches the literature on the knowledge transfer process of XPS. The proposed framework establishes theoretical propositions and associations raised by qualitative analysis. However, these propositions are potentially testable on a larger scale for broader generalization.
Practical implications
Managers can recognize critical factors and relationships needed to improve the XPS implementation from an MNC subsidiary to its local suppliers.
Originality/value
The proposed framework provides a scheme to capture the essential critical factors affecting a successful XPS implementation between MNC subsidiaries and local suppliers. Moreover, we found relevant associations between pairs of critical factors that were not identified in the literature.
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Elomar Castilho Barilli, Stenio Freitas Barretto, Carla Moura Lima and Marco Antonio Menezes
The aim of this paper is to present the use of virtual communities in work processes in Popular Education, a field strongly supported by presentiality because of historical social…
Abstract
Purpose
The aim of this paper is to present the use of virtual communities in work processes in Popular Education, a field strongly supported by presentiality because of historical social inequalities in Brazil. It presents the assessment of the Virtual Community Work (CVT) used in the Popular Healthcare Education Policy (PNEPS).
Design/methodology/approach
The exploratory research adopted two paths of analysis, one quantitative (using questionnaire) aimed to collect the participants’ perceptions regarding the navigation, tools and features of CVT, and the other qualitative through observation of the interventions in its different spaces, having discourse analysis as the technique for analysis.
Findings
The hands-on nature of Popular Education, revealed in the posts and in the speech of the participants, showed the potential and challenges of the territory and the need for change, both of the professional’s outlook on his or her own work process and working with health in the communities that are, still today, very centered around authoritarian models.
Research limitations/implications
Because the participation was not mandatory, the reduced number of participants was the main limitation of this work.
Practical implications
The health problems specified in the interactions and much discussed in CVT may help the consolidation of the policy as the main practical implication.
Social implications
Contribute to the creation of a network for the exchange of educational experiences in the field of Popular Education.
Originality/value
The innovating character of this work lies in the application of Virtual Community in the field of popular education within the health sector as a strategy for implementation of a national policy.
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Juliano Endrigo Sordan, Pedro Carlos Oprime, Marcio Lopes Pimenta, Roy Andersson, Jiju Antony, Jose Arturo Garza-Reyes and Guilherme Luz Tortorella
This paper aims to provide empirical evidence regarding Lean Six Sigma (LSS) practices supported by Industry 4.0 (I4.0) technologies in heavy vehicle manufacturing processes.
Abstract
Purpose
This paper aims to provide empirical evidence regarding Lean Six Sigma (LSS) practices supported by Industry 4.0 (I4.0) technologies in heavy vehicle manufacturing processes.
Design/methodology/approach
A two-case study was performed involving LSS specialists, leaders and managers of two heavy vehicle manufacturers in Brazil. The data analysis procedure combined content analysis techniques, conceptual maps and network analysis.
Findings
The results provide consistent evidence of synergies between LSS and I4.0, including digital mistake-proofing, digital andon, e-kanban, statistical monitoring as well as process mapping aided by cyber-physical systems (CPS) and big data analytics (BDA). To enable such interactions, companies need to invest in automation architectures, system integration, human–machine interfaces and analytical skills.
Research limitations/implications
This study relies on data from a two-case study carried out in two companies from a single manufacturing sector in Brazil. For this reason, the findings cannot be generalized to the entire automotive industry.
Originality/value
There is still a lack of comprehensive research on the application of digital technologies in LSS practices. This is the first study which provides empirical evidence regarding the LSS practices supported by I4.0 technologies used by heavy vehicle manufacturers.
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