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This paper aims to discuss the barriers and practices associated with knowledge management (KM), which is characterized as an important management tool to add value to products and services of companies and, thus, allow them to become more competitive and unique, of large Brazilian companies.

As a conceptual framework, the author adopted the main theories on KM to extract the barriers and practices included in the literature, aiming to confirm them through quantitative research with managers from large Brazilian companies. Based on the responses obtained, the author conducted several multivariate analyses, including descriptive analysis, factor analysis, cluster analysis and multinomial logistic regression.

In addition to presenting the main barriers and key practices associated with KM, our main result also presents a model for the evaluation of the level of maturity in KM based on the practices adopted by large Brazilian companies.

The main result presents a model for the evaluation of the level of maturity in KM based on the practices adopted by large Brazilian companies.

The purpose of this paper is to assess the level of innovation of products, processes and services in technology‐based incubated companies.

On the basis of this review, the stages of development of companies incubated in the Incubating Center for Technological Companies São Paulo, Brazil, were analyzed and through the integration of three different statistical techniques (factorial analysis, cluster analysis and logistic regression), a basis for analyses and considerations was obtained: the companies studied were segregated into clusters according to each one's stage of innovation.

A statistical model was estimated to calculate the probability of innovation of the companies – a methodological tool for evaluating the actual presence of innovation in technology‐based companies installed in incubators.

Owing to the nature of the sample chosen, the results might not be generalized to broader or international contexts.

The estimated model should contribute as an analytical tool to incubators in evaluating the probability of innovation in technology‐based incubated companies.

With the use of this analytical model, incubators should be more capable of developing strategies to stimulate innovation.

This paper reviews widely the contributions of authors concerning factors of innovation in order to present a model drawn from three different multivariate analyses. Furthermore, the theme of innovation assessment in technology‐based incubators has few contributions.

The purpose of this paper is to analyse the importance of innovation in the industry; factors that condition technological competitiveness at Magneti Marelli Controle Motor; analyse the risks and opportunities involved in the process of diffusion and management of flexfuel technology.

The methodological approach was qualitative/descriptive case study, supported by the theoretical framework on risk analysis and strategic analysis.

In a Brazilian market context, new technologies need to make cars more competitive in cost/price terms. Magneti Marelli had an innovative and important role in the development and implementation of this technology. Thus, it achieved a higher share of market and recognition of its entrepreneurial character.

There are few academic papers that relate the topics risk, strategy and Innovation. Moreover, the paper reports a successful case of Brazilian innovation in the global automotive industry.

This study aims to investigate the relationship among knowledge transfer enablers, knowledge transfer process, absorptive capacity and innovation performance in the context of Indian international joint ventures (IJVs). These elements are woven with the thread of dynamic capabilities theory (DCT) into an integrated framework.

Data analysis is conducted on a quantitative survey of 196 IJVs with partial least squares structural equation modeling as the statistical technique.

Co-learning strategy, collaborative trust culture, information technology-based resources and systems and organizational structural design are found to be significant knowledge transfer enablers. Absorptive capacity has a complementary partial mediation effect on the positive relationship between knowledge transfer and innovation performance of Indian IJVs.

The study has pioneered in explicating the criticality of IJV’s internal dynamics to cope with the global market dynamism in a much needed Indian context. Practitioners must focus on building dynamic capabilities in IJVs to make them sustainably competitive, as proposed and evaluated by this study. Further, IJV managers need to strategize their resources, routines and structure dynamically to foster knowledge transfer and innovativeness.

The comprehensive model on DCT offered by this study is rare to match in literature with a completely new context, which is the need of the hour.

The purpose of this study is to analyze the systematic relationships among dynamic capabilities in startups’ survival.

This study is based on a systematic literature review on dynamic capabilities related to startups’ survival, following the content analysis approach.

This study presents four different perspectives of analysis about dynamic capabilities from resources exchange and business factors that meet needs of startups' survival. It also points out new area for future research in this field. In doing so, this study differentiates itself by its approach not limiting dynamic capabilities research and enriching entrepreneurs' capability theory.

By indicating an evolution of dynamic capabilities theory among tangible and intangible resources exchange in a more favorable adaptation to startups growth, this study boosters and contributes to the society, economy in general and to the science of business management in various perspectives such as overcoming cognitive barriers, entrepreneur’s commitment, innovation capabilities and knowledge capacity of startups.

This study amplifies dynamic capabilities vision in startups’ survival as one of the main sources for growth in this type of organizations. It also develops a deeper understanding about new avenues for dynamic capabilities theory among tangible and intangible resources exchange.

Accessing and sharing dispersed knowledge in ecosystems is neither easy nor automatic. In ecosystems, focal firms should purposely create the right conditions and act to deal with dispersed knowledge. This study aims to investigate how focal firms manage dispersed knowledge in ecosystems characterized by a set of autonomous, heterogeneous, yet interdependent actors involved in experimentation under uncertainty.

Following a conceptual framework based on preceding literature, this study conducted a broad qualitative case study of 6 firms and 12 projects, with 43 semi-structured interviews to identify the patterns of actions associated with dispersed knowledge management (KM) in ecosystems. This paper combines coding and multiple case comparisons to examine the processes and strategies used by the firms to strategically manage dispersed knowledge in ecosystems.

This paper proposes a framework that articulates a new type of orchestration (dispersed knowledge orchestration) and offers a new set of dispersed knowledge strategies (transfer, modularity and circular) for ecosystems.

Innovation and knowledge managers play the roles of dispersed knowledge orchestrators. The study offers guidance on how focal firms should carefully use a particular set of approaches (e.g. integrative theorization) including a portfolio of dispersed knowledge strategies in ecosystems.

Current literature on KM and ecosystem management offers a limited understanding of how organizations manage dispersed knowledge in ecosystems. The research provides three major original contributions. First, the framework contributes to broadening the current understanding of ecosystem orchestration by identifying the micro-foundations of dispersed knowledge orchestration: integrative theorization, nurturing distributed sensemaking and a new chapter for ecosystem governance (i.e. dispersed knowledge governance). Moreover, the framework proposes a new type of strategy, the dispersed knowledge strategy. Finally, by exploring the interplay between the micro-foundations of dispersed knowledge orchestration and dispersed knowledge strategy, the results contribute to a multi-level approach in the field.

This study aims to investigate the effects of project-level external knowledge search breadth and search depth on the innovation performance of open innovation (OI) projects in large firms; it further considers these effects mediated by two forms of control mechanisms (process and outcome control) when the level of project complexity and the two stages of a project – early (problem definition) and late (solution development) – are taken into account.

Based on a survey of 187 managers responsible for an OI project, the authors use theory on behavioral-based control mechanisms to explore whether the effect of external knowledge search breadth and depth on OI performance is contingent on having the right levels of control mechanisms in place.

The results showed that the control mechanism mediates the relationship between external knowledge search breadth and depth and OI project performance. Furthermore, project complexity is an important moderator of these effects, especially for outcome control.

A better OI project’s performance is not achieved by external knowledge search breadth and depth alone, but by building process and outcome control mechanism on it to balance knowledge sharing and protecting tension. Furthermore, Outcome control is only helpful with less complex OI projects.

To address the gap of divergent conclusions on the impact of knowledge search (KS) on performance, this paper aims to discuss the nonlinear relationships between KS and reverse internationalization enterprise (RIE) performance, and the co-moderation of causation and effectuation (C&E) on KS–performance.

The proposed theoretical model is developed by integrating the theory of knowledge-based view and decision rationality theory. The empirical study is based on survey data collected from 245 RIEs of the Yangtze River Delta and Pearl River Delta regions in China. Hierarchical multiple regression and the appropriate U-test method are used to test the hypotheses.

Empirical results suggest that both focused and multi-focus searches have inverted U-shaped effects on RIE performance. Furthermore, causation weakens the curvilinear effect between multi-focus search and RIE performance, whereas effectuation strengthens the curvilinear effect but weakens the inverted U-shaped relationship between focused search and RIE performance. Results also indicate that the integration of C&E positively moderates the relationship between focused or multi-focus searches and RIE performance.

Findings reveal the nonlinear effects of focused and multi-focus searches on RIE performance and clarify the dispute over the mechanism of KS on performance by proposing the different moderating role of C&E. Moreover, this research provides deeper insight into contingency mechanisms between KS and performance by integrating the co-moderating role of C&E in RIEs.

The high turnover rate of knowledge workers presents a challenge to both organizational and personal knowledge management. Although personal knowledge management plays an important role in organizational knowledge management, empirical research on the practices for its application is underdeveloped. This study aims to examine the role of idiosyncratic job-design practices (i.e. job definition, job autonomy, innovation as a job requirement and lifelong learning orientation) in cultivating personal knowledge management among knowledge workers in organizations, to increase their productivity and safeguard the organization against knowledge loss arising from knowledge workers’ interfirm mobility.

Data were collected from 221 knowledge workers pursuing various knowledge-intensive jobs through a questionnaire survey and were analysed using partial least squares modelling.

The results demonstrated that three job-design practices (job definition, innovation as a job requirement and lifelong learning orientation) have a positive impact on personal knowledge management among knowledge workers and thus improve their productivity. However, job autonomy can affect personal knowledge management negatively.

The findings are confined to a specific context and should be replicated across different contexts for better generalizability in future research.

Organizational managers should pay attention to (re)designing knowledge-intensive jobs to cultivate personal knowledge management by clearly outlining job responsibilities, offering opportunities to add relevant job activities and drop irrelevant ones, and making innovation and lifelong learning a formal job requirement. In addition, job autonomy should be judiciously provided along with sufficient social and network support to avoid lost opportunities in knowledge creation and sharing, and should be linked to job responsibilities and performance appraisals to avoid negative effects.

The high turnover rate of knowledge workers presents a challenge to both organizational and personal knowledge management. This study contributes to the literature by addressing the research gap in two aspects. Firstly, based on Drucker’s theory, this study identifies four idiosyncratic job-design practices (job definition, job autonomy, innovation as a job requirement and lifelong learning orientation) that reflect the distinctive characteristics of knowledge-intensive work. Secondly, this study examines whether and how these practices can cultivate personal knowledge management among knowledge workers, which can support their productivity.