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This paper aims to develop a methodology for progressive finite element (FE) modeling of transformers, from simple to complex models of both magnetic cores and windings.

The progressive modeling of transformers is performed via a subproblem (SP) FE method. A complete problem is split into SPs with different adapted overlapping meshes. Model refinements are performed from ideal to real flux tubes, one-dimensional to two-dimensional to three-dimensional models, linear to nonlinear materials, perfect to real materials, single wire to volume conductor windings and homogenized to fine models of cores and coils, with any coupling of these changes.

The proposed unified procedure efficiently feeds each SP via interface conditions (ICs), which lightens mesh-to-mesh sources transfers and quantifies the gain given by each refinement on both local fields and global quantities, with a clear view on its significance to justify its usefulness, if any. It can also help in education with a progressive understanding of the various aspects of transformer designs.

Models of different accuracy levels are sequenced with successive additive corrections supported by different adapted meshes. The way the sources act at each correction step, up to the full models with their actual geometries, is given a particular care and generalized, allowing the proposed unified procedure. For all the considered corrections, the sources are always of IC type, thus only needed in layers of FE along boundaries, which lightens the required mesh-to-mesh projections between subproblems.

This study examined the determinants of attendance at the Chilean national soccer tournaments between 1990 and 2002. A multilevel model approach was taken to estimate the effects of several factors, including unobserved sources, hypothesised to influence attendance in Chile. Results regarding team success, team division, population, stadium size and habitual persistence were found to influence professional soccer attendance; other factors such as admission price, age of team, international success, availability of soccer teams in the same vicinity and stadium ownership did not.

This paper examines the effects of advertising type and antecedents of attitude towards advertising in general (AG) on individuals' responses to advertising in a sports broadcast setting. Both AG antecedents and advertising type were assessed using Brackett and Carr's (2001) model. Our results indicate that individual responses to advertising vary according to the type of advertising (television commercials, virtual ads by location).

The purpose of this paper is to develop a subproblem finite element method for progressive modeling of lamination stacks in magnetic cores, from homogenized solutions up to accurate eddy current distributions and losses.

The homogenization of lamination stacks, subject to both longitudinal and transversal magnetic fluxes, is first performed and is followed by local correction subproblems in certain laminations separately, surrounded by their insulating layers and the remaining laminations kept homogenized. The sources for the local corrections are originally defined via interface conditions to allow the coupling between homogenized and non-homogenized portions.

The errors proper to the homogenization model, which neglects fringing effects, can be locally corrected in some selected portions via local eddy current subproblems considering the actual geometries and properties of the related laminations. The fineness of the mesh can thus be concentrated in these portions, while keeping a coupling with the rest of the laminations kept homogenized.

The method has been tested on a 2D case having linear material properties. It is however directly applicable in 3D. Its extension to the time domain with non-linear properties will be done.

The resulting subproblem method allows accurate and efficient calculations of eddy current losses in lamination stacks, which is generally unfeasible for real applications with a single problem approach. The accuracy and efficiency are obtained thanks to a proper refined mesh for each subproblem and the reuse of previous solutions to be locally corrected only acting in interface conditions. Corrections are progressively obtained up to accurate eddy current distributions in the laminations, allowing to improve the resulting global quantities: the Joule losses in the laminations, and the resistances and inductances of the surrounding windings.

The purpose of this paper is to develop a subproblem method (SPM) for progressive modeling of inductors, with model refinements of both source conductors and magnetic cores.

The modeling of inductors is split into a sequence of progressive finite element (FE) SPs. The source fields (SFs) generated by the source conductors alone are calculated at first via either the Biot-Savart (BS) law or FEs. With a novel general way to define the SFs via interface conditions (ICs), to lighten their evaluation process, the associated reaction fields for each added or modified region, mainly the magnetic cores, and in return for the source conductor regions themselves when massive, are then calculated with FE models. Changes of magnetic regions go from perfect magnetic properties up to volume linear and nonlinear properties, and from statics to dynamics.

For any added or modified region, the novel proposed ICs to define the SFs appear of general usefulness, which opens the method to a wide range of model improvements.

The resulting SPM allows efficient solving of parameterized analyses thanks to a proper mesh for each SP and the reuse of previous solutions to be locally corrected, in association with novel SF ICs that strongly lighten the quantity of BS evaluations. Significant corrections are progressively obtained for the fields, up to nonlinear magnetic core properties and skin and proximity effects in conductors, and for the related inductances and resistances.

This paper aims to explore brain-based differences in national and own-label brands perceptions. Because price is a differentiating characteristic, able to discriminate between national and own-label brands, its influence is also studied.

The study uses the Save Holdings Or Purchase (SHOP) task with functional magnetic resonance imaging to explore the differences in brain functioning for national versus own-label branded products.

For the same product, the higher priced national brands and the lower priced own-label brands lead to more buying decisions. It is also found that there are brain structures that are more active/deactive for national than for own-label brands, both marked with real market prices. Price is a powerful driver of buying decisions and has its neural correlates. Parietal regions activate when brand information is subtracted from brand-plus-price information. The most surprising finding is that visual and visual associative areas are involved in the contrasts between branded products marked with switched prices and marked with real market prices.

The activation/deactivation brain patterns suggest that accepted models of brain functioning are not suitable for explaining brand decisions. Also, to our knowledge, this is the first time that a study directly addresses the brain’s functioning when subjects are stimulated with national versus own-label brands. It paves the way for a new approach to understanding how such brand categories are perceived, revealing the neural origins of the associated psychological processes.

This paper aims to test the effects of brand experience and brand love on brand loyalty and willingness to pay a premium price in streaming television services.

Structural equation modelling was used to assess the proposed theoretical model drawing on data from 220 subscribers of a well-known TV streaming brand services (Netflix).

The results revealed that brand experience and brand love have a significant direct impact on brand loyalty and willingness to pay a premium price in streaming TV services. Also, the impact brand experience has on brand loyalty and on willingness to pay a premium price is partially mediated by brand love.

In the streaming television industry, brand managers can create more meaningful experiences that create strong and emotional bonds with users, thereby increasing loyalty levels and intention to pay a premium price. Also, brand managers should consider focusing their efforts to young consumers, as they have a stronger attachment to technology than older generational groups.

This paper enriches the existing literature on brand experience in the entertainment television industry and provides evidence of the role of experience and brand love on brand loyalty and willingness to pay a premium price in services.

Este estudio prueba el efecto que tiene la experiencia de marca y el amor a la marca en la lealtad a la marca y la disposición a pagar un precio más elevado en las plataformas de servicios de streaming.

Un modelo de ecuaciones estructurales (SEM) ha sido utilizado para contrastar el modelo teórico propuesto basándose en datos de 220 suscriptores de una conocida marca de servicios de streaming (Netflix).

Los resultados revelan que la experiencia de marca y el amor a la marca tienen un impacto significativo y directo en la lealtad a la marca y la disposición a pagar un precio más elevado en el contexto de televisión por streaming. También, el impacto que tiene la experiencia de marca en la lealtad a la marca y en la disposición para pagar un precio más elevado es parcialmente mediado por el amor a la marca.

En el contexto de la industria de entretenimiento (televisión por streaming), los gerentes de marca pueden diseñar significativas experiencias que sean capaces de crear fuertes lazos emocionales con sus usuarios, incrementando sus niveles de lealtad y disposición a pagar más. Además, los gerentes de marca deben considerar enfocarse al segmento de consumidores jóvenes, pues ellos tienen más apego a la tecnología que las personas mayores.

Este estudio enriquece la literatura existente sobre experiencia de marca en el sector del entretenimiento televisivo aportando evidencia del rol de la experiencia y del amor hacia la marca en la lealtad y la disposición a pagar un precio elevado.

本研究检验了品牌体验和品牌喜爱对流媒体电视服务的品牌忠诚度和高价支付意愿的影响。

结构方程模型（SEM）被用来评估本文所提出的理论模型, 该模型的数据来自于一个知名电视流媒体品牌服务方（Netflix）的220名订阅用户。

本文的结果显示, 品牌体验和品牌喜爱对流媒体电视服务的品牌忠诚度和高价支付意愿有显著的直接影响。同时, 部分品牌体验对品牌忠诚度和高价支付意愿的影响会被品牌喜爱所调节。

在流媒体电视行业中, 品牌经理可以创造更多有意义的体验, 与用户建立强大的情感联系, 从而提高忠诚度和高价支付意愿。同时, 品牌经理应该考虑将他们的工作重点放在年轻消费者身上, 因为他们比老一辈群体对科技有更强的依恋。

本文丰富了关于娱乐电视行业品牌体验的现有文献, 并提供证据证明了体验和品牌喜爱对品牌忠诚度和高价支付意愿的作用。

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.

Despite the increase in female entrepreneurship literature, very few studies exist that systematize the extant literature, especially in emerging and developing countries. This article fills part of this gap; it maps, categorizes and groups the objectives, theoretical approaches and research methods on female entrepreneurship conducted in one or more of the 155 emerging and developing countries.

A systematic literature review (SLR) was conducted, using Scopus and Web of Science, over a 10-year timeframe (2010–2020). Out of 465 papers, 77 were selected for content analysis.

Most articles focus on understanding women entrepreneurs' challenges, the factors affecting their entrepreneurial performance and encouraging entrepreneurship. Qualitative research was found to be the predominant approach, while mixed studies appeared less frequently.

This paper sheds light on female entrepreneurship characteristics, including business competence, performance and entrepreneurial orientation. Further, it can help female entrepreneurs to recognize the most relevant aspects regarding performance, the essential driving factors and entrepreneurial motivations, among others.

First, this paper groups the objectives and the theoretical and methodological approaches that guide female entrepreneurship research. Second, it identifies distinct gaps, grouped and explored using unpublished thematic categories. Finally, the authors propose an extensive future research agenda regarding female entrepreneurship in emerging and developing countries.

With the rapid advancement of technology, companies use new technologies to produce their products and services to maintain a competitive advantage. As companies alone cannot research and develop their technologies, they should use knowledge sources outside the organization that may exist throughout the world; hence, organizations need technology transfer. Because the success rate of technology transfer projects is low, the need to accurately assess and investigate the critical success factors of technology transfer projects is felt. In this regard, this study aims to identify and prioritize the critical success factors in technology transfer projects.

In this research, 56 critical success factor (CSF) were extracted from the context of the articles and were adjusted using experts’ opinions in different phases, as well as the fuzzy-Delphi approach. Finally, 15 factors were categorized in the form of steps of the technology transfer model: STAGE-GATE. In the next step, the set of criteria needed to prioritize CFSs was extracted from the literature and finalized with the help of the experts. Then, how each of the CSF influences the identified criteria was scored according to the organization’s export opinions. Finally, the priority of each key success factor was calculated using the additive ratio assessment (ARAS) method.

The results obtained for prioritization of the critical success factors show that experience in technology transfer in the transferee company, the existence of experienced technology transfer managers, sufficient organizational infrastructure and documenting project problems, achievements and experiences are four critical success factors of the technology transfer projects. Considering the long-term and short-term specific goals of the technology transfer process and the choice of technology in line with the company’s commercial strategy are also the critical success factors with the next priorities.

The combination of ARAS and step-wise weight assessment ratio analysis methods for identifying and prioritizing managerial decisions in the high-tech industries is a value of this research. Also, a combination of novel multi-attribute decision-making methods by the older framework of new product development is another contribution of this research.