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This paper aims to comprehensively analyze renewable energy alternatives in Brazil, focusing on identifying the most suitable option for investment in the country’s sustainable development.

The study adopts the step-wise weight assessment ratio analysis-multiobjective optimization by ratio analysis −3NAG (a combination of three normalization methods) methodology, a multicriteria decision-making approach, to evaluate and rank renewable energy sources based on key criteria such as resource availability, cost-effectiveness, job creation potential and environmental impact.

The analysis reveals that solar energy emerges as the preferred choice for Brazil, offering significant advantages over other alternatives such as hydroelectric, wind and biomass energy. Solar energy’s distributed generation capability, cost reduction trends and positive environmental impact contribute to its favorable position in meeting Brazil’s energy needs.

While the study provides valuable insights into renewable energy selection, there are limitations regarding the criteria’ scope and the exclusion of specific renewable energy options. Future research could explore sensitivity analyses and incorporate additional criteria to enhance the study’s comprehensiveness.

This research contributes to the existing literature by thoroughly analyzing renewable energy alternatives in Brazil using a robust multicriteria decision-making methodology. The study’s findings provide actionable guidance for policymakers, businesses and stakeholders seeking to promote sustainable energy development in the country.

Work is central to human life. It requires high mental and emotional involvement from organizational leaders, whose decisions have far-reaching impacts. Currently, industrial and technological societies struggle with growing problems of trust in leadership, mental health, feelings of emptiness and the search for relevant meaning, which highlights the importance of attending to spirituality at work. This study aims to fill two main gaps: the need for empirical research on spirituality in organizational leaders, and access to the meanings and experiences of leaders themselves.

Qualitative data from 25 Portuguese organizational leaders were collected through in-depth interviews. We followed a phenomenological approach to reveal participants' own meanings and experiences of spirituality. Content analysis was performed to identify emergent categories and a framework of spirituality development.

The results suggest the participant’s plural views and spirituality practices, which generate common achievements – Ways to Inner. Relations of leaders’ spirituality with their development and integration at work are also evidenced – Ways to Wisdom. A spirituality development framework is presented with aspects revealed in leaders’ ways, from deepening individual issues to the orientation for existential impacts.

This study proposes a framework of spirituality development based on empirical data, with the potential for adaptation to various professional contexts. Spirituality is approached as a human dimension in leaders, as whole beings and a decisive dimension of present organizational change towards a holistic work paradigm.

This case study is intended to help students to evaluate Kavak’s business model, examine the global expansion strategy of Kavak, analyze the competitive strategy adopted by Kavak, recognize the ways in which Kavak leveraged technology in all its business operations, examine the key challenges faced by Kavak in the fragmented Latin American as well as global used car market and explore strategies that Kavak can adopt in future to maintain its dominance in the global used car market.

This case study is about the meteoric rise of Kavak, a Mexican used car retailer that aimed to disrupt the emerging pre-owned car markets with its unique value propositions and compelling global expansion strategy. Co-founded in 2016 by Carlos García Ottati (Ottati), in Mexico City, Kavak emerged as an end-to-end solution to buy, manage, sell and finance pre-owned cars. Using pricing algorithms driven by artificial intelligence and machine learning-based inspection tools and personalized recommendations, Kavak reshaped the mobility sector in the Latin American and Middle Eastern regions. In a mere six years of operation, the company established its presence in nine countries: Argentina, Brazil, Chile, Colombia, Mexico, Peru, Turkey, the UAE and Oman. Kavak’s innovative yet simple business model ensured transparency and guarantees in all its transactions where reconditioned vehicles were sold to thousands of customers through its e-commerce platform as well as a network of brick-and-mortar hubs. Its in-house financing arm Kavak Capital was at the core of its business model, as it offered affordable leasing options, making car ownership possible for both first- and second-time car owners within just a few minutes of applying. The platform had an inventory of 40,000 vehicles as of 2023 with more than 50% of Kavak’s sales being financed by Kavak Capital. The case study discusses the challenges faced by Kavak in the fragmented used car market including rising interest rates for vehicle loans, managing capital-intensive operations, rising competition and external economic headwinds such as inflation and slowing economic growth. Going forward, the challenge before Ottati and his team was how to make profits, build customer trust, attract customers and achieve global success.

This case study is suitable for MBA/MS level and is designed to be a part of the business strategy/and international business curriculum.

CSS: 5: International business.

Teaching notes are available for educators only.

The objectives of this study are to identify which inputs are most relevant for development and successful introduction of product and process innovations and identify the impacts of these two types of innovation on the performance of Brazilian manufacturing companies.

This study analyzes the relationships between input, output and outcome for a sample of 5,586 Brazilian manufacturing companies by using partial least squares structural equation modeling (PLS-SEM).

The results indicate that (1) product innovations are favored by internal resources, (2) process innovations are favored by external resources, (3) product innovations mainly affect a range of products offered by companies and (4) process innovations mainly affect performance in manufacturing capacity, flexibility and costs.

By identifying the main efforts to improve the innovation performance and input-output-outcome relationships, the results can contribute to a better decision-making process for innovation investments and management in companies as well as for policymakers. The results are particularly relevant given that the Brazilian case can serve as a reference for other emerging countries.

Analyses of the innovation in input-output-outcome relationships were performed in a comprehensive way by using a set of variables for defining each construct. This allowed each construct to be better measured, which improved the understanding of the relationships between inputs and outcomes mediated by product and process innovations.

Construction industry (CI) has great prominence for the world economy, and it is expected that, with the use of the innovative technologies and approaches of Industry 4.0 (I4.0), the new industrial paradigm, construction can reach higher levels of productivity. This study aims to develop a model (readiness model) to assess the level of use of I4.0 technologies by the construction sector in Brazil and its most relevant applications.

The methodology used was bibliographic research, design-science research and a survey to validate the model, carried out with 162 companies, considered among the main ones in the sector in Brazil. The literature review revealed 13 technologies of I4.0 applied to construction; hence, the views of industry experts were based on these technologies.

The Digital Advancement Within CoNstruction (DAWN) readiness model was proposed, showing that among the 13 evaluated technologies of I4.0 and their applications, the Brazilian construction companies had a low level of utilization; both high and middle-income companies presented this low level of use; some technologies with a greater number of scientific publications were less used in practice in the Brazilian construction.

The originality and theoretical contribution are to present a readiness model to assess the level of use of I4.0 technologies and their most relevant applications in the CI in countries with an economy similar to Brazil’s, making it possible to measure the level of adoption of these technologies.

This study aims to propose an approach to assess the security of supply (SS) in a coal-fired electricity generation supply chain subject to public price regulation in Brazil. This study characterizes the Brazilian scenario of coal-fired electricity generation, which represents less than 3.5% of the energy sources.

Data from six mining companies that supply a coal plant were analyzed in a case study. The risks were characterized and objectively estimated through a synthetic multidimensional index. Structural changes in the earnings before interest, taxes, depreciation, amortization and exploration indicator time series of coal companies (CC) were statistically detected.

Empirical evidence demonstrates that the supply chain has a low disruption risk (SS index equal to 0.74). However, when suppliers are individually analyzed, 48.64% of all coal shows moderated disruption risk, and 2.51% is under high risk. In addition, this study finds a drop in the financial results of CC related to public regulation of coal prices. This impacts the security of coal supply.

This study discusses the influence of legal and regulatory policy risks in a coal power generation supply chain and the implications of the SS index as a management tool.

A novel SS index is presented and empirically operationalized, and its dimensions – environmental, occupational, operational, economic-financial and supply capacity – are analyzed.

This study examines the dynamics of innovative auditing practices in the digital age, with a specific focus on auditor competencies. Within this scope, we highlight the necessity of redefining auditing practices and the essential adaptation required from auditors. The primary objective is to understand comprehensively how auditor competencies can be strengthened to meet the challenges posed by innovative audit practices.

A Systematic Literature Review (SLR) was conducted to explore this theme, ensuring rigor and credibility in the outcomes. The results emphasize the importance of auditors strengthening professional competencies, embracing technological agility, and promoting ongoing professional development initiatives.

The triadic framework comprising—Auditor, Auditing Practices, and Digital Audits— forms the basis for innovative audit practices. This manuscript further discusses the transition of advanced technologies, laying the groundwork for the evolution of auditing practices. Through a systematic assessment of the literature, this study develops a framework for innovative, ethically driven, and effective auditing practices, ensuring the occupation's relevance and value. Future investigations should focus on the ethical implications of automation in auditing practices and develop innovative frameworks tailored to diverse organizational contexts.

The study addresses a contemporary issue by examining the evolving nature of auditing practices considering digital transformation. Practical implications highlight the enhancement of auditor roles in digital transformation, covering ethics, technological adaptation, and continuous development to uphold the profession's integrity. This focus acknowledges the changing dynamics of business and the growing role of technology in auditing processes.

The present paper assesses the decision problem of selecting Unmanned Aerial Vehicle Systems (SARP) by the hybrid MPSI-SPOTIS approach for deployment in border control and transborder illicit combat.

By the hybrid MCDA MPSI-SPOTIS approach, and from the database available in Gettinger (2019), models were filtered by Endurance, Range, Maximum Take-Off Weight (MTOW), and Payload, fitting within the classification of Categories EB 0 and 2. Category EB 1 was not considered in this study due to the limited number of models in the data source.

The use of the Multi-Criteria Decision Analysis (MCDA) tool MPSI-SPOTIS allowed the determination of weights by stochastic criteria, applied in a ranking method resistant to reverse ordering. The application of the method identified the Raybird-3 (Cat EB 0) and Searcher (Mk3) (Cat EB 2) models as the best alternatives. From a proposed clustering, other selection possibilities with close performance in the evaluation were presented. The cost criterion was not taken into consideration due to the absence of information in the data source employed. Future studies are suggested to include criteria related to the life cycle and acquisition cost of the models.

The cost criterion was not taken into consideration due to the absence of information in the data source used. Future studies are suggested to include criteria related to the life cycle and acquisition cost of the models.

This paper aims to propose a technology selection method applied to complex defense acquisitions when multiple factors influence the decision makers and it is hard to obtain a major optimum solution in multitask and multi-mission platform.

Prismatic specimens were fabricated, consisting of two ceramic tiles bonded by an intermediate adhesive mortar layer. To simulate pre-existing defects, an acetate film was strategically inserted into one of the mortar-ceramic interfaces, creating controlled cracks of varying sizes. The specimens were subjected to low-amplitude cyclic loading, inducing simultaneous tensile and shear stresses within the system. The vibrational responses of the samples were recorded, and their frequency-domain amplitudes were analyzed.

Ceramic tile detachment remains a significant issue in contemporary construction, despite advancements in technology and updates to regulatory standards. The majority of these failures occur at the adhesive mortar-ceramic tile interface due to the combined effects of tensile and shear stresses. While this phenomenon is well-documented, experimental studies assessing the adhesion integrity of façade cladding systems are limited. This study aims to evaluate the adhesion performance of adhesive mortars using a non-destructive vibrational analysis technique.

The results enabled the characterization of the dynamic behavior of the specimens, identification of frequency regions corresponding to individual components, and formulation of diagnostic criteria for damage detection. Analysis of the resonance spectra also made it possible to identify a peak that can be related to the behavior of the mortar-substrate interface. Additionally, the elastic and dissipated energy metrics were calculated to quantify the system’s mechanical behavior. The study further investigated the impact of crack size, curing time and adhesive mortar type on the overall structural integrity.

This work aims to evaluate the adhesion performance of adhesive mortars using a non-destructive vibrational analysis technique. Resonance frequency measurements have also been used in research to analyze the propagation paths of cracks in metallic samples from aircraft engines. However, despite the widespread use of non-destructive techniques based on resonance frequencies for damage assessment, their application in the field of coating systems seems to be virtually unexplored. Therefore, this research attempts to address this gap by investigating the bond integrity of adhesive mortar joints, focusing on the analysis of the material’s resonance frequencies and their associated peak parameters.