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A quantitative theoretical model is proposed to measure how productivity performance can be affected by strategic decisions related to specific competitive priorities.

This study proposes the Primary Transformation Model (PTM) and an equation to measure cause-and-effect relationships between productivity and competitive priorities.

The interdependence between productivity and competitive priorities was studied using the PTM and the proposed model indicates that strategies that improve external performance also impact internal productivity. It was also observed that the compatibility between competitive priorities depends on the initial manufacturing conditions and the implementation method adopted.

The proposed model is theoretical and, as such, is an abstraction of reality and does not consider all possible aspects. It consists of a novel approach that still requires further empirical testing. The PTM provides insights about the trade-offs between productivity and strategic objectives, as well, contributes to the ongoing research on manufacturing strategy and can be further developed in future studies.

The main practical implication is to allow companies to relate their strategic decisions to their productivity performance.

This research also contributes to societal issues by enabling firms to better align strategic objectives and operations, which ultimately allows offering products more suited to the needs of customers, thus making better use of the required resources and favoring economic growth.

The model proposed allows objective assessment of actions aiming at operational efficiency and effectiveness, in addition to providing insights into cause-and-effect relationships between productivity and competitive priorities. The model can also be used in empirical investigations on manufacturing strategy.

The dairy industry needs to make important decisions regarding its supply chain. In a context with many available suppliers, deciding which of them will be part of the supply chain and deciding when to buy raw milk is key to the supply chain performance. This study aims to propose a mathematical model to support milk supply decisions. In addition to determining which producers should be chosen as suppliers, the model decides on a milk pickup schedule over a planning horizon. The model addresses production decisions, inventory, setup and the use of by-products generated in the raw milk processing.

The model was formulated using mixed integer linear programming, tested with randomly generated instances of various sizes and solved using the Gurobi Solver. Instances were generated using parameters obtained from a company that manufactures dairy products to test the model in a more realistic scenario.

The results show that the proposed model can be solved with real-world sized instances in short computational times and yielding high quality results. Hence, companies can adopt this model to reduce transportation, production and inventory costs by supporting decision making throughout their supply chains.

The novelty of the proposed model stems from the ability to integrate milk pickup and production planning of dairy products, thus being more comprehensive than the models currently available in the literature. Additionally, the model also considers by-products, which can be used as inputs for other products.

This study aims to understand how forensic accountants can analyse bank transactions suspected of being involved with money laundering crimes in Brazil through social network analysis (SNA).

The methodological approach taken in this study was exploratory. This study cleaned and debugged bank statements from criminal investigations in Brazil using computational algorithms. Then graphs were designed and matched with money laundering regulations.

The findings indicated that graph techniques contribute to a range of beneficial information to help identify typical banking transactions (pooling accounts, strawmen, smurfing) used to conceal or disguise the movement of illicit resources, enhancing visual aspects of financial analysis.

Research found limitations in the data sets with reduced identification of originators and beneficiaries, considered low compared to other investigations in Brazil. Furthermore, to preserve restrict information and keep data confidential, data sets used in research were not made available.

Law enforcement agencies and financial intelligence units can apply graph-based technique cited in this research to strengthen anti-money laundering activities. The results, grounded in analytical approaches, may offer a source of data to regulators and academia for future research.

This study created data sets using real-life bank statements from two investigations of competence by the Brazilian Federal Justice, including real-data perspectives in academic research. This study uses SNA, which is a popular approach in several areas of knowledge.

The purpose of this study is to examine cultural intelligence's (CQ) influence on international business travelers' ability to deal with the strain caused by institutional distance (ID).

The methodology begins with a literature review to establish a framework for discussion by bringing together international business travel, stress, distance, and CQ. A total of 841 participants from Sao Paulo Guarulhos International Airport were surveyed in order to test the hypotheses.

Results reveal that CQ partially moderates the relationship between ID and travel and job strain.

Furthermore, the research implies that an increase in CQ is not positive in all situations.

This is the first empirical study to examine CQ in the short‐term context of international business travel.

This paper examines the impact of extreme rainfall shocks on the performance in test scores of students living near at-risk urban areas in Brazil.

To identify the causal effect, we consider the exogenous variation of rainfall at the municipal level conditioned on the distance from the school to risk areas and the rainfall intensity in the school months.

The results suggest that extreme precipitation shocks, defined as a shock of at least three months of high-intensity rainfall, have an adverse impact on both math and language performance. Through a heterogeneous effects analysis, we find that the impact varies by student gender, with girls being more affected. In addition, among students who study near at-risk areas, those with better previous school performance and higher socioeconomic status are more negatively affected.

Our results suggest that extreme weather events can increase the differences in human capital accumulation between the population living near risk areas and those living more distant from these areas.

The present study seeks to answer the following research question: what is the profile of the academic production related to the interorganizational networks in the period between 2006 and 2016? Thus, this study aims to characterize the academic production about the subject interorganizational networks available in national journals with Concept “A” (Qualis Capes), in the period between 2006 and 2016.

This paper uses national journals with Concept “A” of the Qualis classification (2016) for journal selection. In total, 12 “A” concept journals were identified. However, it was decided to analyze ten of them. The procedures suggested by Crossan and Apaydin (2010) for conducting bibliometric studies were adopted. It has been identified that 77 articles were published in eight journals. The R 3.3.2 and R Studio 1.0.136 software were used. The IGRAPH 0.5.5-2 extension (package) was used to analyze graphs and co-authorship networks (Csárdi and Nepusz, 2006). This extension is able to manipulate networks with millions of vertices and edges and provides a series of functions to analyze the properties of social networks, such as subnetworks, intermediation, centrality, among other characteristics (Csárdi and Nepusz, 2006). Correspondence analysis (CA) was also performed. CA is a multivariate exploratory technique that converts a data matrix into a graphical representation, so that rows and columns are represented by points in a graph (Greenacre and Hastie, 1987). This extension is dedicated to the multivariate analysis of data and allows the manipulation of different types of variables (quantitative or categorical). In the present research, multiple CA (MCA) was applied – indicated when the elements are described as categorical variables (Lê et al., 2008). The characteristics considered for carrying out MCA were the “main term”, “research approach”, “type of research”, “constructs” and “research strategies”. By using the FactoMineR 1.34 extension, the hierarchical clustering on principal components (HCPC) function was used (Husson et al., 2007; Lê et al., 2008). This function allows creating clusters from the characteristics of the articles analyzed and highlights the justifications for the groupings created. The function allows forming as many clusters the researcher wishes, being of its attribution to analyze a division that best represents the characteristics of the data (Husson, Josse, and Pagès, 2010). Husson et al. (2010) suggest that an analysis should be performed from the hierarchical tree, thus the number of clusters can be defined considering the overall appearance (or shape) of the tree formed. At last, a word cloud was created using the Wordcloud 2.5 extension (Fellows, 2013). The noticed advantage of using this extension is that it does not separate the terms that form a keyword when generating the cloud. It has been used for the keywords of the 77 articles analyzed; however, it has been decided to keep those that presented frequency greater than or equal to two. By avoiding occasional terms, a more intelligible cloud was obtained.

The present study was not able to verify if the journals analyzed by Andrighi et al. (2011) have influenced others to publish on the subject, as suggested by the Bradford’s Law. The standard “success breeds success”, suggested by the Bradford’s Law, was not confirmed. The so-called nuclear zone (Brookes, 1969; Novaretti et al., 2015) is composed of the journals Brazilian Administration Review (BAR), Revista de Administração Contemporânea (RAC), Revista de Administração Pública (RAP) and Revista Brasileira de Gestão de Negócios (RBGN). The journal RAC stands out for having been the one that has increased its annual average of publication in relation to the theme, when compared with the findings of Andrighi et al. (2011). The journals BAR and RBGN stand out because they are in the nuclear zone, even though they were not considered in the work of Andrighi et al. (2011). It should be noted that all the analyzed journals have in common the fact of addressing the themes of management and administration and, more specifically, making room for the “competitiveness” and “cooperation” constructs. These constructs are related to the theme of networks and were the most recurrent in the articles analyzed. “Cooperation” (29), “competitiveness” (27), “knowledge” (12), “learning” (6) and “trust” (3) were the “constructs” used to compose the 77 articles analyzed. In turn, “network” (49), “alliance” (18) and “cluster” (9) were the “main term” most used in the articles. This implies that the topic of cooperation is more linked to a vision of strategy. As occurred in the research of Andrighi et al. (2011), the term “network” is the most recurrent; in addition, the growth of space obtained by the term “alliance” stands out. The terms “network” and “alliance” were the most used by the articles, being predominant in 87 per cent of the research. In the present research, the predominance of the term “network” may have occurred because its concept is broader and it is used in the literature in different ways, even in contradictory ways (Andrighi et al., 2011; Schommer, 2001). In turn, the term “alliance” may have been recurrent because it has a wide dispersion of published issues, such as governance structure, cooperation, knowledge transfer and trust (Lima and Campos Filho, 2009). By using the HCPC function of the FactoMineR extension, the articles were grouped according to their characteristics, and then three clusters were formed. By analyzing the generated results, it is assumed that the division into three clusters was the one that best represented the data. Cluster 1 is characterized by descriptive, quantitative, half documentary and half survey research studies, being “cluster” the main term. Cluster 2 is characterized by exploratory case studies with qualitative–quantitative analyzes. Cluster 3 is characterized by theoretical tests. The Zipf’s law points out that a small group of words occurs many times; however, when considering the most recurrent words Networks (9), Strategic Alliances (8), Cooperation (8), Interorganizational Networks (8) and Alliances (6) show that they were present in only about 10 per cent of the works. Lotka’s Law, which states that few authors publish much and many authors publish little, was not confirmed. The authors who presented the highest number of publications, T. Diana L. v. A. de Macedo-Soares (6); Jorge Renato Verschoore (6); Alsones Balestrin (5); Douglas Wegner (4); Humberto Elias Garcia Lopes (4), participated in less than 10 per cent of the works. Thus, the authorship was characterized by many researchers publishing few works, what can be an effect of the behavior of these authors, who prefer to publish in network. The centrality of the relations between the authors was analyzed and, in addition, the intermediation points of the network were identified. The present study also analyzed all the references used by the 77 articles that compose the study. The main author of each of the references used was identified. Among the 30 identified authors, Yin and Hair Jr. stand out for books related to fundamentals and research methodologies. Borgatti and Eisenhardt developed research on the topic of interorganizational networks and also created works for methodological foundations. Powell was the most frequently mentioned author (28) and had more different works referenced (9). Powell stands out for the production of articles published in periodicals, not books. Porter’s situation is the opposite. Most of the quotations made to the author come from his books, especially the work “Competitive strategy” (Porter, 1980). All authors identified are foreigners, with the exception of Balestrin. Marshall, Polanyi, Granovetter and Williamson are authors of works considered seminal, being them, respectively, “Principles of economics” (Marshall, 1890), “Personal knowledge: towards a post critical philosophy” (Polanyi, 1958) and “The strength of weak ties” (Granovetter, 1973) and “Markets and hierarchies, analysis and antitrust implications” (Williamson, 1975).

Like all research, it has limitations. The first one derives from the selection criteria of the periodicals to be analyzed. The cut referring to the journals of greater impact excludes most of the national articles. These studies may contain important contributions to the knowledge of the national publication profile. In addition, the choice to analyze the journals disregards other types of work, such as books, scientific events, dissertations and thesis and reports. The choice of articles published in journals is based on the fact that these are a “certified knowledge”, as the studies are peer-reviewed, and in the case of the Qualis “A” stratum, a review of exogenous quality is supposed on this production. Despite its flaws, this system can be considered reliable to evaluate scientific knowledge (Bedeian, 2004; Shugan, 2007). The analysis of the most recent articles may have been hampered by a temporal issue. In addition, the choice of keywords, a necessary step, leaves out other studies. Another limitation refers to the fact that the articles have been analyzed and classified by the authors, which presupposes the use of their value judgments, at least to some extent. Other limitations refer to the bibliometric techniques employed. The main authors referenced in the studies were demonstrated, that is, those authors who have been used as a theoretical reference for studies of interorganizational networks. However, the circumstances under which these citations occurred were not analyzed. For example, an author may be quoted to use the contribution of his/her study, to be criticized or just to be another reference in the text. The lack of this analysis can be considered a fragility of the study.

This text was started talking about the dispersion of the studies on networks in the country. Previous work has been used, theoretically and empirically demonstrating this fact. Zipf’s Law applied to bibliometrics, as described by Guedes and Borschiver (2005), Novaretti et al. (2015) and Pao (1978), was not confirmed in this study, which seems to be an indicative fact that the research on this theme in Brazil presents fragmentation as an intrinsic characteristic. That is, it must remain fragmented, as this would be its own way to evolve. This is evident especially when comparing the study of Andrighi et al. (2011) and its results. With several but continuous temporal cut-outs, and the same keywords, the maintenance of this dispersion is evident. This is also a contribution of this study.

The study contributed to updating the research profile, mainly after the triennium 2013-2015 of Qualis Capes’ evaluations. It also added to the mapping of recent Brazilian academic production related to interorganizational networks, completing studies by Alves et al. (2013), Andrighi et al. (2011), Balestrin et al. (2010), Cunha and Carrieri (2003) and Mascena et al. (2013). Thus, it is believed that the research reached the proposed objectives, despite its limitations.

The present research is also justified by helping to understand the subject being useful for researchers, educators and students, in general, in the task of demonstrating gaps and opportunities of future researches and collaborating with the elaboration of a research agenda (Baumgartner and Pieters, 2003). The work has updated bibliometrics on the subject and allows comparisons with previous bibliometric studies (Alves et al., 2013; Andrighi et al., 2011; Balestrin et al., 2010; Cunha and Carrieri, 2003; Ferreira et al., 2014; Lima and Campos Filho, 2009; Mascena et al., 2013). It is believed that the present study differs from the others because of the analysis performed, the way the data were treated, with techniques that are rarely used simultaneously, going beyond the descriptive statistics.

The purpose of this paper is to contribute to the literature on demand-driven Keynesian growth in open economies by developing a formal model that combines Dixon and Thirlwall’s (1975) export-led growth model and Thirlwall’s (1979) balance-of-payments constrained growth model into a more general specification. Then, based on the model developed in this paper, the authors analyse more broadly some important issues concerning the net impact of currency depreciation on the short-run growth.

The authors build upon Dixon and Thirlwall’s (1975) export-led growth model and Thirlwall’s (1979) balance-of-payments constrained growth model in order to develop the theoretical framework. The authors also run numerical simulations to illustrate the net impact of devaluation on the short-run growth rate in different scenarios.

The authors demonstrate that the net impact of currency devaluation on growth can go either way, depending on some structural conditions such as the average share of imported intermediate inputs in prime costs of domestic firms and the institutional capacity of trade unions to set nominal wages through the bargaining process. The model also shows that the effectiveness of a competitive real exchange rate to promote growth is higher in countries where the share of labour in domestic income is also higher.

This paper provides a coherent formal starting-point for further theoretical developments on the interrelatedness between currency devaluation, income distribution and growth. These findings provide empirically testable hypothesis for future research.

The present study proposes an alternative formal solution for the theoretical problem of imposing a balance-of-payments constraint on the process of cumulative causation often incorporated in Kaldorian growth models. In terms of policy, the framework sheds further light on the relevance of income distribution and the labour market institutional framework for the dynamics of the exchange rate pass-through mechanism and allows us to map out related conditions under which currency devaluation can promote growth.

The purpose of this paper is to describe Mibanco's challenges in offering credit to individuals who have never had access to the formal banking system in Peru. The purpose of the case is to explain how Mibanco's innovative products and services have contributed to its success in enabling thousands of Peruvians to gain access to banking services. The paper also describes Mibanco's latest adaptations in response to growing competition to provide banking services to the lower income segments of the market.

The case study research methodology combines primary data from key informant interviews with Mibanco's CEO Rafael Llosa and other senior executives as well as academics and investment professionals familiar with Mibanco's operations. Secondary data were also collected from Mibanco's annual reports and other published sources.

The paper describes Mibanco's innovations in overcoming constraints in its operating environment. The case also documents the important role that Mibanco has played in transforming the Peruvian financial market through its pioneering development of financial products and services for the poor.

The paper describes Mibanco's role in influencing the Peruvian financial system as a whole and specifies the strategies that Mibanco's executive management has established to overcome the risks and challenges faced by the institution.