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The purpose of this paper is to empirically test the dairy production barriers: lack of cooperation between the chain actors, milk quality deficiencies, rural exodus and, productivity limitations in southern Brazil, based on Santa Catarina’s dairy production ecosystem players perceptions.

From inquiry result analysis with 305 dairy sector experts, the authors performed statistical tests using the technique of factorial analysis and confirmatory factorial analysis to confirm and/or refute the dairy production barriers presented by Bonamigo et al. (2016b).

The results confirmed the presence of the barriers presented by Bonamigo et al. (2016b). The barrier lack of cooperation between the chain actors is presented as the biggest obstacle in the sector, according to the interviewees. The authors also found that rural exodus is the barrier with the smallest impact on the dairy sector development in relation to other barriers presented by Bonamigo et al. (2016b). The confirmation of these barriers in practice allows developing new studies to eliminate and/or mitigate these barriers of the dairy sector. Furthermore, the study might shed some light on dairy production activities and help improve management skills.

This study does not cover all the players that make up the dairy production ecosystem. It is limited only to the main players that are inserted in this sector. The authors observed the lack of data characterizing the dairy production system in Santa Catarina.

This study presents theoretical and practical contribution. By the confirmation that these barriers are present in the field, it is possible to direct new studies that seek to mitigate them and results in dairy production improvements. As for the practical contribution, the confirmation of those barriers can serve as a basis for the dairy sector decision-making actors, such as government, research institutions, and extension, producers, cooperatives, among others, and assist them in developing strategic actions that concern a cooperative way to develop the whole sector.

Knowledge is companies’ crucial asset, especially when they are inserted in continuous collaboration and value co-creation. However, problems related to knowledge may occur without proper management, which can compromise the strategic objectives associated with a business collaboration network. Given the presented gap, this study aims to propose and test a business-to-business (B2B) knowledge management (KM) framework focused on value co-creation. Therefore, this study seeks to answer the following guiding questions: what are the main elements that a KM model should present in a context of value co-creation between companies? What are the limitations? What are the advantages and disadvantages? Is there any group that would benefit most from it?

This is an exploratory study grounded on mixed methods, having a qualitative approach (systematic literature review and content analysis) followed by a quantitative approach (exploratory and confirmatory factor analysis), which grounded the proposed framework.

The qualitative approach grounded on the systematic literature review resulting in 38 articles that were submitted to content analysis, which resulted in six record units: active communication between the organization, employees and other stakeholders; documents and organizational knowledge stored; knowledge map; collaborative network; searching tools and database, which provided the KM elements to develop and test the proposed framework by the quantitative approach. The results have shown that the framework may assist in managing knowledge in B2B value co-creation relationships.

As an exploratory study, the chosen research approach used nonprobabilistic for convenience sampling. Therefore, the results may lack generalizability. Thus, researchers are encouraged to use probabilistic sampling techniques to ensure generability. Also, more and better items should be used to upgrade the initial questionnaire, improving it and, by doing so, have a better scale.

Assuming the proposed framework’s effectiveness, company managers can use it to drive knowledge within the network of interested parties to promote cooperative products and services. In addition, due to the theoretical framework’s broad vision, it can serve as a strategic aid to leverage innovation, productivity and competitive advantage. This study also provides an initial instrument that assists in understanding KM elements, which may assist in value co-creation.

It was learned that the elements, tools, concepts and KM preconized solutions can assist in value co-creation. Considering that value assists business performance, and value co-creation is one way to enhance it, furthermore, by knowledge sharing, the value co-creation may occur in the B2B ecosystem. Also, it is the first theoretical KM framework proposed to assist companies to understand better ways that could get advantages on structuring knowledge, meaning mapping it, sharing it through a system that can retain what is needed and release it to the ones that need and have the defined access to receive it.

This paper aims to resolve the inhibitors of lean service using knowledge management (KM) concepts through the use of Toyota Kata. To achieve this, the authors updated the research on lean supportive practices and inhibitors of lean technical practices presented by Hadid and Afshin Mansouri (2014) through a systematic literature review (SLR). The SLR focused on empirical studies/cases from the past 15 years and confirmed the inhibitors of lean technical practices. As a result, Toyota Kata is proposed as a KM solution to the inhibitors of lean service implementation in service companies.

The authors carried out an SLR to identify inhibitors of lean service in real case applications and analyzed the resulting bibliographic portfolio using KM as a lens, along with three theories: universal theory, socio-technical systems theory and contingency theory, which assist in highlighting and clarifying the potential impact of using Toyota Kata as a solution to the inhibitors of lean technical practices.

When the authors analyzed the inhibitors of lean technical practices, they discovered that there is a strong relationship between the inhibitors and the individual (staff) personal characteristics regarding commitment, involvement, communication and preparation. These inhibitors and characteristics should work as a system, and Toyota Kata improves people’s skills and process performance by connecting people, processes and technology. Also, the authors noted that the Toyota Kata concept used can provide benefits in the implementation of lean service for companies, such as the internalization of continuous improvement, this becoming part of the company culture. Moreover, it has been demonstrated that Toyota Kata provides an effective way to achieve KM.

This study may not have enabled a complete coverage of all existing peer-reviewed articles in the field of practices and inhibitors presented by Hadid and Afshin Mansouri (2014). However, it seems reasonable to assume that in this review, a large proportion of the studies available was included.

This paper opens a new perspective on the use of Toyota Kata by managers as a solution to implement KM, spinning the spiral of knowledge.

This is the first study that seeks empirical evidence of inhibitors of lean technical practices and proposes Toyota Kata as a KM Solution for these issues. As a result, this study advances the facility to overcome these inhibitors, opening a new perspective for management to lead in achieving operational excellence.

Despite the large number of academic publications in human capital, there are few instruments to measure it. The purpose of this paper is to develop a holistic scale to measure human capital, considering aspects related to competence, attitudes, skills, leadership, and organizational memory.

First, a literature review of the existing measurement models was carried out. Second, based on the results the authors developed a scale and a questionnaire that were applied in a financial institution in Santa Catarina, Brazil, supported by a factor analysis and a reliability analysis.

As a result of this study a scale consisting of 13 variables of human capital emerged that have been grouped into three factors – leadership and motivation; qualifications; and satisfaction and creativity – which can assist in the organization’s human capital measurement. From a theoretical view, a more holistic scale is provided, which helps to overcome a unilateral focus on knowledge (intangibles).

This work points out that the survey data were collected from a sample of 220 relationship managers of a specific financial institution. The results should be tested in other banks or organizations from other sectors to check their suitability and to be generalized.

From a practical point of view, it contributes a “tool” that can assist in the measurement of human capital and in the knowledge contained, dimensioning the organizational memory and human repositories.

This is the first study that provides a scale to measure organizational human capital from the Brazilian financial perspective.

The purpose of this paper is to verify if, in the dairy business ecosystem (dairy farmers, dairy cooperatives, government, research agencies, consultants and financial institutions) perspective, the dairy production barriers presented by Bonamigo et al. (2016b) can be mitigated through the dairy production key factors indicated in the literature.

To achieve the proposed goal of this study, the methodology used for the study comprises three stages: exploratory search in the literature to identify barriers and drivers of dairy production, data collection and statistical model. For the first stage, the authors conducted exploratory research in the literature, to better understand the dairy production ecosystem and to find arguments that characterize the barriers and drivers of this activity. In the second stage, a structured questionnaire with 13 closed-ended questions in a single block, with ordinal responses, following the suggestion of Likert (1932), was developed and applied to the dairy production ecosystem players of Santa Catarina, Brazil. A total of 305 responses suitable for analysis based, that were analyzed through an exploratory factorial analysis and modeling of structural equations via partial least squares, resulting in the Statistical model.

Based on the analyses results, the authors verified that there is an inverse association between the characteristics of the barriers and the dairy production key factors. In this sense, the authors can confirm that the increase of the loads in the dairy production key factors, reduce loads of the milk production barriers. Based on the results of this test, new theoretical and practical insights can be identified to develop new studies with the aim of boosting the dairy sector development as well as providing support in the decision making of the dairy system players.

This study may not have enabled a complete coverage of all existing peer-reviewed articles in the field of dairy production. It seems reasonable to assume that the review process covered a significant proportion of studies available.

It is the first study that compares identifies barriers and key factors of dairy production in Santa Catarina using as an analytical lens the business ecosystem.

The purpose of this paper is to diagnose the barriers of dairy production system of Santa Catarina from the perspective of the business ecosystem concept.

The study consists of a bibliographic systematic review of the dairy production from the perspective of the business ecosystem. To analyze the resulting portfolio, the authors used the content analysis proposed by Bardin (2011), which served as the basis for analysis and discussion of the barriers of dairy production.

The authors identified a total of 19 barriers related with dairy production activity in Santa Catarina, they are properly presented and discussed. In addition, some ways to mitigate these barriers.

This study may not have enabled a complete coverage of all existing peer-reviewed articles in the field of dairy production. Yet, it seems reasonable to assume that the review process covered a large proportion of studies available.

It is the first study that identifies barriers to the development of dairy production in Santa Catarina using as an analytical lens the business ecosystem. And once identified these barriers, it is possible to devise strategies to eliminate or mitigate these barriers.

This paper aims to review research on the topic of knowledge leakage to establish the current body of knowledge and, on this basis, to suggest some promising avenues for future research.

The study consists of a systematic review of 57 refereed empirical articles on knowledge leakage.

The findings contribute to a more holistic view of the topic and complement the study of knowledge management. Additionally, a conceptual framework is proposed that aims at guiding and informing future research activities.

This study may not have enabled a complete coverage of all empirical articles in the field of knowledge leakage. Yet, based on the chosen research methodology, it seems reasonable to assume that the review process covered a large share of studies available.

To the best of the authors’ knowledge, no systematic literature review on knowledge leakage has previously been published in academic journals.

The purpose of this paper is to review extant literature to identify models intended to measure/classify intellectual capital (IC) to establish the current body of knowledge that has been built since the review by Marr et al. (2004).

The study consists of a systematic review of peer-reviewed articles on IC classification. The review was conducted for the period 2004-2014 in order to reach the aim. To ensure that all major models are included, important works developed prior to 2004 were captured as well.

The review resulted in 83 additional models indicating continued research activities with regard to the topic. These models were merged with prior IC models and mapped on a timeline. The timeline clarifies that 2008, 2010, 2011, 2012 and 2013 represent the years of greatest research activity (outcomes). Additionally, the analysis of the list of IC frameworks resulted in the development of an IC Meta model. It synthesizes research activities in the field and highlights the main IC dimensions and sub-dimensions.

This study may not have enabled a complete coverage of all existing peer-reviewed articles in the field of IC classification. Yet, it seems reasonable to assume that the review process covered a large proportion of studies available.

By aggregating and consolidating the IC frameworks covered, the study does not only provide an IC Meta model, but also promising directions for future research.