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This paper aim to propose a methodological mapping approach for the evaluation of dissertations and theses of graduate programs in the area of environmental sciences in Brazil in relation to the UN sustainable development goals (SDGs).

The research is characterized as exploratory with qualitative/quantitative approach. The proposed model was developed as a computational algorithm with a pilot being adopted as a professional master in national network for teaching in environmental sciences (ProfCiAmb) comprising associated courses from nine Brazilian public universities. 230 dissertations completed between 2018 and 2020 were analyzed.

A total of 266 correlations were identified between the texts and descriptors of each SDG. Correlation values between 0.100 (minimum value – Vmin) and 0.464 (maximum value – Vmax) were observed. SDG 4 – Quality Education (Vmax = 0.399) and SDG 6 – Drinking Water and Sanitation (Vmax = 0.464) were those with the highest correlation values, followed by SDG 3 – Health and Well-Being (Vmax = 0.299) and SDG 17 – Partnerships and Means of Implementation (Vmax = 0.249).

The construction of the computational algorithm provided consistent quantitative analyses with potential to contribute to the improvement of the multidimensional evaluation of graduate studies, as well as to support public policies related to teaching and research and strategic planning of the programs.

The relevance of this study lies in the creation of a model that involves the creation of metrics and tools regarding the impact of graduate studies on society.

The purpose of this paper is to analyze how firms are redesigning the organizational architecture of supply chains, bundling and unbundling resources, sharing information and coordinating flows in order to facilitate capability partitioning. It aims to analyze how process interdependencies are managed either through modularity or coordination mechanisms. The paper is anchored in the emergent theory of modularity, a transaction cost‐based perspective of modular systems.

This paper adopts the case study methodology. It uses an in‐depth case study of Logoplaste, a global supplier of plastic packaging, in particular investigating how the firm organizes supply chain activities around an integration mode designated as “hole‐in‐the‐wall.”

In a context of high process interdependence the firm has developed a coordination capability, an ability to manage the interfaces at minimum cost either by modularizing the process or defining appropriate coordination mechanisms. This capability becomes a core competence of the firm that enables it to further appropriate rents that lie at process interfaces.

The case study method limits the generalization of the findings, but allows more depth in the analysis of the proposed framework.

As the complexity of sourced components increases firms will need to complement their modular approach to supply chain design with new organizational‐coordination skills and an ability to externalize knowledge. The case study provides several examples of the type of coordination required.

This research adds to the literature on organizational modularity in two distinct ways. First, it focuses on the development of a coordination capability to manage process interdependences rather than the partitioning of technical capabilities across the supply chain. Second, it brings to the discussion of modularity recent developments in transaction cost economics that go beyond the engineering perspective. A coordination capability represents the organization's ability to organize transactions in order to appropriate rents, rather than merely minimize transaction costs.

The purpose of this paper is to study the effect of total quality management (TQM) resources on strategic product innovation. It addresses the apparent tension between quality management and innovation management and seeks empirical support for the proposition that quality management resources can be used to support strategic innovation. Based on resource-based view, it defines key resources that firms develop during implementation of TQM systems: TQM culture, product design capability, and process improvement capability – and assesses the role of these resources in the success of product innovation.

A survey of 112 manufacturing firms was conducted and the resulting data were analyzed using partial least squares (PLS) to determine how TQM constructs affect strategic product innovation.

The main finding suggests that only product design capability contributes to strategic product innovation. TQM culture has a direct influence on process improvement and product design capabilities but not on product innovation. The effect of innovation capability and innovation orientation on product innovation was only supported for innovation capability. The effect of innovation orientation is mediated by the development of innovation capability.

The paper focusses on the level of maturity of capability development without taking into consideration the time since adoption. Also, the measure of product innovation is based on the degree of product newness but does not dichotomize in terms of radical vs incremental. Several arguments supporting a negative relationship between TQM and innovation often refer to radical or breakthrough innovation. It would be interesting to test the model while distinguishing between radical and incremental innovation. The use of cross-sectional data is a methodological limitation.

The results suggest that managers can leverage their quality management systems to support product innovation. In particular, the ability to design quality into products leads to higher levels of strategic production innovation. The successful deployment of TQM capabilities requires an integrative and well-structured approach, involving top leadership engagement of employees and customer orientation. While TQM culture is critical to the development of quality management capabilities, it does not directly affect the innovativeness of a firm.

The paper explores the relationship between quality management systems and strategic product innovation. Further work is needed to test whether TQM effect on strategic innovation is different for radical and incremental products, and for other innovation outcomes such as process and service innovation.

The paper proposes that improvements in the productivity of process technology can be achieved by analyzing and instituting changes in the rules and methods through which work is organized. The implementation of information‐based process technology in a bank’s check processing system provides the context for the study. A simulation approach is used to assess the benefits of introducing alternative workflow scheduling rules after implementation of the new technology. Results from a hypothetical setting, using data from an actual check processing center, demonstrate the cost advantages of introducing a priority‐based scheduling rule. The implications and problems associated with practical implementation are discussed.

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.

Although there is a growing research stream on Performance Measurement and Management Systems (PMMS) in Ecosystems literature, current research offers limited theoretical insights into how PMMS deal with two types of strategies in uncertain ecosystems: ecosystem-based strategy – EBS (at the focal firm level) and ecosystem strategy – ES (at the ecosystem level). This study aims at identifying how PMMS are employed to deal with different types of strategies in uncertain ecosystems.

The authors employed an inductive, rich multiple case approach in five focal firms with platform ecosystems. Data collection involved multiple sources of information (primary and secondary data), combing retrospective and longitudinal perspectives. Data analysis combined replication and comparison logic with coding.

This study identifies four major distinctive dimensions of Ecosystem PMMS under uncertainty: (1) Integrative Performance (considering the different ecosystem actors’ performance), (2) Interdependence Performance (mutual, yet not necessarily convergent amongst ecosystem partners), (3) Regulative Performance (paradoxical in nature, having to cope with both flexibility and stability) and finally (4) Phased Learning Performance (non-linear).

Our primary contribution is a new framework for PMMS literature: a performance measurement and management system for dealing with strategies in ecosystems. This framework enables managing performance regarding both types of strategies (EBS and ES) and their interplay in uncertain ecosystems.

The ecosystem management requires focal firms to measure and manage the overall ecosystem’s performance, and it varies according to the type of strategy adopted in each case. Our framework provides dimensions that guide firms to build and implement PMMS for an ecosystem consistent with the ES. Therefore, it may improve performance, especially in uncertain business contexts.

The findings enrich PMMS literature in an ecosystem context related to the ES in uncertain environments.

The purpose of this paper is to analyze the innovation process of organizations representing the main sectors of Brazilian economic activity.

The literature review focuses on analyzing the innovation process characteristics regarding the innovation types. The authors carried out interviews with executives and managers in charge of innovation at the leading large companies in the respective sectors analyzed. The data analysis of this qualitative research was structured in three steps. The first step is the analysis of data collected for encoding, the second step, the summarization of the common points presented by the companies in each sector and, finally, the interpretation of these data, aided by triangulation from secondary data that support the analysis of the collected primary data.

The main contribution of this study is to characterize the innovation process of organizations representing the main sectors of the Brazilian economy, with a classification regarding the sectoral innovation standard.

The authors’ intent is that the paper can contribute with a comparative analysis among companies of the same sector and, subsequently, among companies of the different surveyed sectors. Thus, the characterization aims to present the companies’ innovation process and the comparative analysis aims to verify the innovation sectoral patterns. In addition, as implications for management practice, some strategies for better knowledge management in the organization are suggested for each type of innovation.

The main theoretical contribution focuses on the development of a conceptual model that structures the analyzed variables of the constructs “innovation process” and “innovation sectoral patterns”, allowing not only the characterization but also the comparative analysis of the representative organizations present in the sample.

The purpose of this study is to examine the moderating effect of an exogenous corporate governance shock that curbs Chief Executive Officers’ (CEOs) power on the relationship between CEO narcissism and earnings management practices.

The authors performed a quasi-experiment using a differences-in-differences approach to examine Brazil’s duality split regulatory change on 101 Brazilian public firms during the period 2010–2022.

The main findings indicate that the introduction of duality split curtails the positive influence of CEO narcissism on earnings management, suggesting that this corporate governance regulation may act as a complementary corporate governance mechanism in mitigating the negative consequences of powerful narcissistic CEOs. Further robustness checks indicate that the results remain consistent after using entropy balancing and alternative measures of CEO narcissism.

In emerging markets, where governance systems are frequently perceived as less than optimal, policymakers and regulatory authorities can draw insights from this enforcement to shape governance systems, reducing CEO power and, consequently, improving the quality of financial reporting.

To the best of the authors’ knowledge, this is the first study to examine whether a duality split mitigates the influence of CEO narcissism on earnings management. Thus, this study contributes to the corporate governance literature that calls for research on the effectiveness of external corporate governance mechanisms in emerging markets as well as the CEO narcissism literature that calls for research on moderating factors that could curtail negative consequences of narcissistic CEO behavior.

This study aims to describe a bibliometric analysis of recent articles addressing the applications of e- noses with particular emphasis on those dealing with fuel-related products. Documents covering the general area of e-nose research and published between 1975 and 2021 were retrieved from the Web of Science database, and peer-reviewed articles were selected and appraised according to specific descriptors and criteria.

Analyses were performed by mapping the knowledge domain using the software tools VOSviewer and RStudio. It was possible to identify the countries, research organizations, authors and disciplines that were most prolific in the area, together with the most cited articles and the most frequent keywords. A total of 3,921 articles published in peer-reviewed journals were initially retrieved but only 47 (1.19%) described fuel-related e-nose applications with original articles published in indexed journals. However, this number was reduced to 38 (0.96%) articles strictly related to the target subject.

Rigorous appraisal of these documents yielded 22 articles that could be classified into two groups, those aimed at predicting the values of key parameters and those dealing with the discrimination of samples. Most of these 22 selected articles (68.2%) were published between 2017 and 2021, but little evidence was apparent of international collaboration between researchers and institutions currently working on this topic. The strategy of switching energy systems away from fossil fuels towards low-carbon renewable technologies that has been adopted by many countries will generate substantial research opportunities in the prediction, discrimination and quantification of volatiles in biofuels using e-nose.

It is important to highlight that the greatest difficulty in using the e-nose is the interpretation of the data generated by the equipment; most studies have so far used the maximum value of the electrical resistance signal of each e-nose sensor as the only data provided by this sensor; however, from 2019 onwards, some works began to consider the entire electrical resistance curve as a data source, extracting more information from it.

This study opens a new and promising way for the effective use of e-nose as a fuel analysis instrument, as low-cost sensors can be developed for use with the new data analysis methodology, enabling the production of portable, cheaper and more reliable equipment.

Entrepreneurs' pivot decisions are poorly understood. The purpose of this paper is to review the existing literature on pivot decisions to identify the different conceptualizations, research streams and main theoretical building blocks and to offer a baseline framework for future studies on this phenomenon.

A systematic literature review of 86 peer-reviewed papers published between January 2008 and October 2020, focusing on the pivot decision in startups, was performed through bibliometric, descriptive and content analyses.

The literature review identifies four research streams concerning the pivot concept – pivot design, cognitive, negotiation and environmental perspectives. Building on previous studies, this paper provides a refined definition of a pivot that bridges elements from the four research streams identified: a pivot comprises strategic decisions made after a failure (or in the face of potential failure) of the current business model and leads to changes in the firm's course of action, resource reconfiguration and possible modifications of one or more business model elements. This study proposes a framework that elaborates the pivot literature by identifying four stages of the pivot process addressed in the existing literature: recognition, generating options, seizing and testing and reconfiguration.

This study provides a comprehensive review, enabling researchers to establish a baseline for developing future pivot research. Furthermore, it improves the conceptualization of pivots by summarizing prior definitions and proposing a refined definition that places decision-making and judgment at its center. That introduces new contextual and behavioral elements, contributing to a better understanding of how entrepreneurs assess alternative courses of action and envision possible outcomes to redirect a venture after failure.