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Brazil has been increasing its participation in the international trade market, mainly due to agricultural and forestry products, as in the case of soybeans and cellulose. This growth led to the expansion of the logistics infrastructure and its use. An important example of this trend is the port of São Luís, MA, in northern Brazil, which saw an increase in exports via rail (more than 200% growth in 6 years) and, consequently, an increase in the circulation of trains within its port complex.

This work proposes a mixed-integer linear programming model for the daily train scheduling problem at this port. All trains operated by VLI, a logistics company, are scheduled to minimize the departure times in order to improve the dwell time of freight train cars.

The railroad system in this Brazilian port consists of two classification yards, five terminals and a double-track railway for circulation. Different products such as grains, minerals, cellulose, and fuels are transported. The model also incorporates different operations at terminals and occupation restrictions due to maintenance and the physical flow of other third-party logistics companies. These features are modeled through a preprocessing step. In this phase, a series of auxiliary sets are defined to simplify constraints, circulation options are mapped, and the double-track is divided into segments based on the transit time with the objective to control track occupation.

This preprocess step also reduces the model complexity and, consequently, the computational time to solve it, as shown in the numerical tests using real-world operational data.

The main gains of the project were a reference train timetable for peak days, standardization of train crossing options, and a support tool for traffic adjustments with other rail operators.

Although multiple forms of governance mechanisms have been studied to address the opportunistic behavior in franchising, research has not shed light on franchise systems operating in emerging markets despite exponential growth in these markets. To address this gap, this study aims to test the direct effects of different governance mechanisms on franchisee’s opportunism and moderating effects of franchisee’s relationship satisfaction on the relationship between different governance mechanisms and franchisee’s opportunism.

Survey data from 151 franchise owners were used to test the conceptual model and research hypotheses. The confirmatory factor model and structural equation model were tested by using AMOS.

Findings suggest that formalization and solidarity in franchising relationships negatively affect franchise opportunism. By contrast, franchisees, who are otherwise satisfied with their franchisor, find centralization and formalization oppressive and, therefore, engage in opportunistic activities.

The study makes important contributions related to franchising in emerging markets. It addresses opportunistic behavior by franchisees in emerging markets and the role played by different governance mechanisms in curbing such behavior. The study has some limitations related to its cross-sectional design and its focus on a single emerging country, among others.

This study is among the first to examine the role of governance mechanisms to address franchisee’s opportunism in an emerging market context. The study’s findings have important theoretical and practical implications for governance design in business-to-business relationships in emerging markets.

This study aims to propose a comprehensive greenfield foreign direct investment (FDI) attractiveness index using exploratory factor analysis and automated machine learning (AML). We offer offer a robust empirical measurement of location-choice factors identified in the FDI literature through a novel method and provide a tool for assessing the countries' investment potential.

Based on five conceptual key sub-domains of FDI, We collected quantitative indicators in several databases with annual data ranging from 2006 to 2019. This study first run a factor analysis to identify the most important features. It then uses AML to assess the relative importance of each resultant factor and generate a calibrated index. AML computational algorithms minimize predictive errors, explore patterns in the data and make predictions in an empirically robust way.

Openness conditions and economic growth are the most relevant factors to attract FDI identified in the study. Luxembourg, Hong Kong, Singapore, Malta and Ireland are the top five countries with the highest overall greenfield attractiveness index. This study also presents specific indices for the three sectors: energy, financial services, information and communication technology (ICT) and electronics.

Existent indexes present deficiencies in conceptualization and measurement, lacking theoretical foundation, arbitrary selection of factors and use of limited linear models. This study’s index is developed in a robust three-stage process. The use of AML configures an advantage compared to traditional linear and additive models, as it selects the best model considering the predictive capacity of many models simultaneously.

Despite the significance of knowledge sharing for competitive advantage in networked businesses like franchising systems, there is a lack of comprehensive understanding regarding the strategic value of knowledge sharing in the context of franchising. In particular, the specific contribution of information and communication technologies (ICTs) in facilitating interorganizational knowledge exchange among franchising members remains inadequately understood, particularly in emerging economies. Therefore, this study aims to explore the mechanisms involved in the knowledge-sharing process facilitated by a virtual learning environment (VLE) within franchising networks and examine the role of VLEs in facilitating knowledge.

This study uses a multiple-case study approach involving 24 franchisees and the franchisor within a Brazilian franchising network operating in the furniture market to examine the role played by a VLE.

The results of the study reveal that the introduction of a VLE has played a significant role in fostering enhancements in the knowledge-sharing process among the franchisor and franchisees in the network. Moreover, the results indicate that VLEs play a significant role in overcoming geographical obstacles, thereby enabling efficient knowledge sharing between franchisees and franchisors operating in extensive territorial contexts. Finally, findings indicate that intracommercial competition acts as a prominent barrier, leading to low levels of cooperation and knowledge-sharing intent among franchisees within the network.

This study contributes to the existing knowledge by enhancing the understanding of how ICTs can facilitate knowledge sharing in organizations operating within franchising systems. Furthermore, this paper advances the comprehension of the role of networking franchising configuration and governance in supporting organizational improvements. Additional actionable insights are provided.

The purpose of this paper is to investigate the simultaneous effects of ionization and dispersion of soil on the impulse behavior of grounding electrodes under first and subsequent stroke currents.

A recently introduced technique called improved multi-conductor transmission line (MTL) is simplified for grounding electrodes buried in both-affected soils.

The simulation results show that including the two effects simultaneously in highly resistive soils under high-valued subsequent stroke current is recommended. Otherwise, simultaneous effects can be disregard.

To the best of the authors’ knowledge, there is no research on sensitivity analyses for the simultaneous inclusion of the two effects on the effective length and the induced voltage on the soil surface. To this end, the simplified MTL is applied to the grounding electrodes. The simulation results show that the computational efficiency in comparison with previous methods is, first, considerably increased. Second, the simultaneous effects result in decreasing the soil surface voltage with respect to situations where either ionization or dispersion is taken into account (single-affected soils). In other words, the performance of grounding systems is improved. Third, the effective length in both-affected soil is has a middle value with respect to the single-affected soil. Such findings practically and financially are of importance.

This study examines the market reaction to the World Health Organization (WHO) announcement of the novel coronavirus disease 2019 (COVID-19) as a global pandemic on the emerging equity markets and compares the reaction with developed markets. This study also compares the market reactions to the COVID-19 pandemic with the market reactions to the 2008 global financial crisis.

Using the Morgan Stanley Capital International daily stock indices data and the Carhart and the GARCH(1,1) models for an event study, the authors examine the cumulative abnormal returns during 30 and 10 trading days and the extended 60 days before and after the WHO pandemic announcement. It also compares the market reactions during the COVID-19 pandemic with the reactions to the Lehman Brothers' bankruptcy announcement during the 2008 global financial crisis.

This study finds that the COVID-19 pandemic had a significantly greater negative impact to the stock markets in emerging countries than in the developed countries. The negative impact on the emerging markets is more pronounced for firms with small market capitalizations and for growth stocks. The negative impact of the COVID-19 pandemic is stronger in the energy and financial sectors in both emerging and developed markets. The positive impact of the COVID-19 pandemic occurred in healthcare and telecommunications for the emerging markets and information technology for the developed markets. This study also finds that the equity markets in both emerging and developed countries recovered faster from the COVID-19 pandemic relative to the 2008 global financial crisis.

Investors' desire to diversify their risks across different countries and sectors in the emerging markets could bring superior returns. The diversification strategies bring critical financial supports to forestall the contagion of COVID-19, to protect lives, and to save the emerging economies, especially for those financially constrained countries that are facing twin health and economic shocks by channeling their investments to countries with weak healthcare systems.

This study extends the literature that examines market reactions to stock market shocks by examining the market reactions to the COVID-19 outbreak on the emerging and developed equity markets across different market capitalizations, valuation and sectors. This study also finds that the markets recovered quicker from the COVID-19 pandemic announcement than during the 2008 global financial crisis.

Socio-economic, health and environmental turbulences experienced during the past decades have caused major value chain disruptions, triggering multinational enterprises (MNEs) to rethink the footprints of their global operations and redesign for resilience. These developments have fueled a rapidly expanding scholarly literature on resilience. Yet, its conceptual understanding and practical utility remain highly fragmented, cross-disciplinarily disconnected and ambiguous. This study explores the intellectual structure of resilience research in business and management, relying on a systematic literature review approach based on bibliometric techniques and content analysis. A unique database consisting of 545 peer-reviewed articles published in 65 leading Academic Journal Guide (AJG) journals are analyzed. Based on the findings, three leading research communities dominate the resilience discussion in business and management. Moreover, the intellectual structure of the field through the most productive authors and top cited journal articles is discussed. Based on the results, five potential research avenues are suggested.

From an interdisciplinary position, I discuss the historical and epistemological roots of the objectification and commodification of nature, which emerged from the hegemony of instrumental rationality. This rationality—synthetically, a technological, political, social, ethical, and esthetical universe of thought and action—has created both wealth and environmental destruction due to the progressive domination of nature through science and technology. The objectification of nature and nonhuman animals is associated with the legacy of René Descartes based on some excerpts of his famous Discourse on the Method in which the idea of animals as machines established a powerful and pervasive metaphor that remains today. Speciesism, which involves forms of discrimination practiced by humans against other animal species, also dominates Western perspectives. However, studies reveal that nonhuman animal sentience and conscience is a scientific fact. While there is no ethical or scientific ground to support speciesism, the colossal number of animals commodified in a myriad of contexts, especially in animal agriculture, proves that our society is very far from overcoming this issue. A possible path to change is education. Nevertheless, profound transformations are mandatory as formal education—even “environmental education”—carries in its philosophical foundations the Cartesian, instrumental paradigm that favors the objectification and commodification of nature. I present how the concept of instrumental rationality, especially as proposed by Herbert Marcuse, establishes as a unifying and solid ground to address the roots of the objectification and commodification of nature (including nonhuman animals), as well as to confront the epistemological bedrock of our speciesist nonenvironmental, traditional education.