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This study aims to understand the manifestation and adherence of performance management system (PMS) components in Brazilian startups, concurrently considering the different stages of development and catalyzing factors.

We gathered data through semi-structured interviews with founders and C-level executives from 19 startups. We used an inductive and exploratory method to spot patterns and differences through content analysis, aiming for a contextual understanding of startup PMS manifestation.

We analyzed the PMS of each startup, highlighting the consistency and differences among PMS components in each stage, considering the value proposition, goals, performance perspectives, monitoring indicators, action plans and performance evaluation processes. We also observe various catalyst factors that played an important role in accelerating the early development of the PMS in each stage.

This study provides a practical understanding of the meaning of each PMS component maturity that could be applied to startups in different stages and the catalyzing factors that played an important role in accelerating the initial development of PMS, providing practitioners with a holistic and situated context approach.

This is one of the first studies to provide empirical evidence on the manifestation and adherence of different components of the PMS in Brazilian startups, considering concurrently the organizational life cycle and existing catalyzing factors to the reality of these organizations.

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.

Brazil’s agribusiness sector is an acknowledged and relevant player in international markets. Companies operating in this industry have been closely observed by society with increasingly critical judgment relating to production systems and the impact of these companies. In this context, this study aims to assess the voluntary disclosure of social and environmental information of Brazilian agribusiness companies and test the determinant factors.

The research hypotheses are based on stakeholder theory, legitimacy theory and results from social and environmental disclosure studies. Confirmatory factor analysis was adopted to build the dependent variables, and the Tobit model was used for hypotheses testing. The sample includes the 150 largest agribusiness companies in Brazil.

The results show that the disclosure measures of agribusiness companies differ by segment and that internationalization, negative media exposure and pollution are critical factors in increased voluntary social and environmental disclosure.

Knowledge about the determinants and quality of voluntary disclosure is key in driving social responsibility policies. In addition, they are useful to executives for the preparation of social responsibility and environmental reports.

The results of this study contribute to the literature on voluntary social and environmental disclosure by providing information on an important but poorly studied sector, namely, agribusiness in Brazil.

Although prior studies have identified several technologies related to Industry 4.0 and their individual potential, it is still unclear how these technologies could be integrated to achieve better results. Based on this, we propose several collaborative networks combining technologies associated with Industry 4.0.

A literature review was performed using a research model to support the evaluation and identification of key and collaborative technologies related to Industry 4.0. We examined these technologies using hierarchical cluster analysis and principal components analysis, based on their characteristics.

The study identified big data, cloud computing, the internet of Things and cyber-physical systems as key technologies for Industry 4.0, and a further eight collaborative technologies that are strongly related to industrial performance. We found five collaborative networks with distinct goals in the context of Industry 4.0: (1) smart manufacturing; (2) technological platforms; (3) market reactiveness; (4) smart products and (5) flexibility.

The findings allowed us to create five pathways for future work on Industry 4.0 technologies via collaborative networks. In practice, this will help managers to improve their focus on priorities regarding the implementation of Industry 4.0 technologies.

This study provides insights into how to establish links between technologies through collaborative networks for certain purposes. In addition, we propose five future directions for these collaborative networks that require further investigation by researchers.

A sustainable transportation system should represent a win-win situation: minimizing transport's impact on the environment and reducing natural disasters' effects on transportation. A well-distributed set of rain gauges is crucial for monitoring services in smart cities. However, those services should consider the uncertainties about the registers of rainfall impacts. In this paper, the authors present a case study of optimal rain gauge location based on an actual database of rainfall events with impacts on urban mobility in the city of Sao Paulo (Brazil).

This paper presents a maximal covering location formulation and proposes a robustness analysis considering spatial location perturbations.

In this case study, the robustness of the objective function is above 99.99%. The robustness for the number of covered demand points is 88.93%, and the frequency associated with every candidate is between 11.71% and 69.49%.

Incorporating spatial uncertainties on coverage problems is essential to provide stakeholders more realistic supporting tools and to draw different possible scenarios.

The purpose of this paper is to propose a competitiveness measurement system for start-ups considering multiple critical success factors.

The methodological approach uses concepts from key performance indicators (KPIs) and multi-criteria decision analysis (MCDA) based on the fuzzy AHP (FAHP) methodology to weight the criteria related to fundamental points of view (FPVs) and critical success factors (CSFs).

Data collection was performed with 21 specialists and 28 start-ups, which returned the weights and performance of CSFs and FPVs related to the start-ups’ competitiveness. The results show only one start-up had a highly competitive global performance. In addition, all start-ups showed low competitiveness related to industry 4.0 technologies.

The article collaborates with existing research as a starting point for discussions on the subject, considering that previous research did not address the measurement of the start-ups’ competitiveness level through multiple factors, as developed in this article. In addition, we provide decision-makers and other stakeholders in the start-up ecosystem with a robust measurement system to assess business competitiveness and diagnose the company’s situation.

The purpose of this paper is to analyze the relation between the values of solidarity economy and the organizational commitment and entrenchment ties.

A quantitative, descriptive and exploratory research was carried out through survey, using the Solidarity Economy Values Scale, Organizational Commitment Questionnaire and Organizational Entrenchment Questionnaire, with statistical data analysis.

The results showed that the self-management, quality of life and identification values positively influenced the workers’ behavior, mainly concerning personal fulfillment with performance and autonomy at work. On the other hand, the citizenship and solidarity values revealed an inverse association with the alternatives limitation dimension of entrenchment: the permanence in solidarity economy organizations motivated solely by the lack of employment can impact negatively on social and political involvement.

Theoretically, organizational commitment and entrenchment ties are not limited to individual behaviors but also have a collective dimension to be investigated.

The workers’ organizational commitment implies in a commitment from the organization with human development through work.

In solidarity economy organizations, the bond based on lack of alternatives on the job market does not affect self-management or fulfillment with the work but the participation on the community politics.

The purpose of this paper is to propose a model to evaluate the degree of intellectual capital (IC) maturity into organizations.

This is a qualitative, applied research designed as an exploratory and descriptive investigation. It employs a case study to apply the intellectual capital maturity model, which is developed from the literature review. The Proknow-C method of systematic literature review is the procedure adopted for the literature review in Scopus, Science Direct and Web of Science databases. In total, 21 IC constructs were derived from such review and assessed by 18 reviewers (judges).

In the scientific literature, IC is mainly viewed as a resource or set of resources an organization for the creation of competitive advantage and value. Using the information gathered about different views on IC, this study proposes a construction of the theoretical model, based on the models of the capability maturity model–Software Engineering Institute and Asian Productivity Organization–Knowledge Management, the management model and the application protocol.

This research offers view on the nature of the concept of IC showing (IC) as a business asset through maturity scale. The analysis of the concept of IC is focused at organizational and dimensional levels.

This study contributes to the further development of the concept of IC regarding its measurement in organizations through the maturity scale.

The purpose of this paper is to present the innovation management program (IMP) (FAZ Program) and analyze its results according to the public policy goals that support it (Pró-Inova) suggesting improvements.

Intensive-direct-observation method in 43 companies; systematic data gathering and analysis (172 meeting documents); and innovation maturity diagnostics in 30 companies between August 2013 and May 2016.

The FAZ Program success rate according to the Pró-Inova goals achieved 81 percent. The percentage of completion of FAZ activities decreases during its implementation from 100 percent (strategic module) to 74 percent (management module) and ending at 46 percent (project module). The maturity for innovation of these committees/teams is decisive for those percentages. Companies whose maturity for innovation of the strategic committee and the organizational team are above average or excellent have, respectively, 1.8 and 1.7 times greater probability of implementing the program successfully.

The FAZ Program represents only 4 percent of the programs supported by Pró-Inova. The innovative products, processes and businesses produced by the FAZ Program implementation are not measured. These innovations usually happen several years after an innovative management models implementation.

The maturity for innovation diagnosis is useful both to evaluate the company’s innovation capacity and to predict its chances of implementing the program successfully. Adjusting the structure of the model (e.g. PDCA cycle for the organizational module) and improving the program’s implementation (e.g. ensure management module resources and maturity for innovation capacity) can increase the program’s success rate.

Previous research works on IMPs supported by Pro-Inova focus on describing their methodology or benefits. The results allow answering what and how one of these programs offers in a return to the public innovation support received.