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The purpose of this paper is the presentation of an electrical equivalent circuit for inductive components as well as the methodology for electrical parameter extraction by using a 3 D finite element analysis (FEA) tool.

A parameter extraction based on energies has been modified for three dimensions. Some simplifications are needed in a real model to make the 3 D finite element method (FEM) analysis operative for design engineers. Material properties for the components are modified at the pre-modeling step and a corrector factor is used at the post-modeling step to achieve the desired accuracy.

The current hardware computational limitations do not allow the 3 D FEA for every magnetic component, and due to the component asymmetries, the 2 D analysis are not precise enough. The application of the new methodology for three dimensions to several actual components has shown its usefulness and accuracy. Details concerning model parameters extration are presented with simulation and measurement results at different operation frequencies from 1 kHz to 1 GHz being the range of switching frequencies used by power electronic converters based on Si, SiC or GaN semiconductors.

This new model includes the high-frequency effects (skin effect, proximity effect, interleaving and core gap) and other effects can be only analyzed in 3 D analysis for non-symmetric components. The electrical parameters like resistance and inductance (self and mutual ones) are frequency-dependent; thus, the model represents the frequency behavior of windings in detail. These parameters determine the efficiency for the inductive component and operation capabilities for the power converters (as in the voltage boost factor), which define their success on the market.

The user can develop 3 D finite element method (FEM)-based analyses with geometrical simplifications, reducing the CPU time and extracting electrical parameters. The corrector factor presented in this paper allows obtaining the electrical parameters when 3D FE simulation would have developed without any geometry simplications. The contribution permits that the simulations do not need a high computational resource, and the simulation times are reduced drastically. Also, the reduced CPU time needed per simulation gives a potential tool to optimize the non-symmetric components with 3 D FEM analysis.

The purpose of this paper is to analyse student performance and perceptions when a flipped classroom setting is used, in comparison with the traditional model.

The inverted learning model or “flipped classroom” is a pedagogical approach that attempts to reverse the traditional teaching and learning process, making the student the protagonist of their own learning, and is characterised by the theoretical contents being taught “outside the classroom”, allowing students to spend more class time carrying out other types of more practical activities that encourage much more active learning, such as enquiry exercises, problem solving, collaborative projects and so on. The study was conducted on a biology course of the Primary Education Bachelor’s Degree during the 2017/2018 academic year (n = 240).

The results revealed that better learning outcomes were achieved by students when the flipped classroom methodology was proposed. It has also been found that student perceptions of the teaching approach were more positive when the flipped model was followed. The flipped classroom methodology also seems to foster student participation and motivation more effectively than traditional teaching formats, mainly because the active learning activities that are carried out in this new educative approach manage to involve the students in their own learning processes.

Despite the enhanced popularity of flipped classroom research in multiple educational contexts and the growing number of studies published in recent years, there is little empirical evidence regarding the effect of the flipped classroom on learning outcomes and satisfaction in pre-service teachers.

The organizations need to use strategic drivers such as market orientation (MO) and knowledge management (KM) for the development of product and process innovations, which can become a major source of sustainable competitive advantage (SCA). However, there is a gap in the use of these precepts, specifically in Brazilian companies. The purpose of this paper is to measure the relationship among MO, KM orientation, innovation (product and process), SCA and organizational performance (OP).

The research was developed through a survey in 1,072 companies from the industrial manufacturing, commerce and services activity sectors. For the analysis of data, the study used the structural equation modeling method.

This study contributes to managerial decisions in the choice of investment in strategic drivers and innovation, to obtain competitive advantages and economic gains. The results highlight that companies that use market information have formal structures to support innovation processes achieving more successful results.

The framework proposed in this research can be used for different industries and segments.

The theoretical value of this paper is the contribution to the literature with the provision of a framework to analyze the strategic drivers, which are antecedents of innovation in different sectors of activity and in different sizes of companies. It is highlighted as managerial contributions, that the study identified evidence that organizations seek a superior OP to the competitor, creating competitive differentials that result in SCA.

The purpose of this paper is to analyze the effect of knowledge complexity, absorptive capacity and weak ties between franchisor and franchisee on standards compliance related to quality and operative procedures.

A franchisee outlets survey was carried out to investigate the effect of knowledge, franchisee and relationships characteristics on franchise systems uniformity. A linear regression analysis was conducted on a sample of franchisees from different franchise chains and sectors of activity operating in Spain. The authors also controlled for transformation type, which represents the kind of activities carried out in the franchisee units, whether just commercial or both transformative and commercial activities.

Partial support was found for the hypothesis. Knowledge complexity and absorptive capacity do not affect uniformity, although weak ties do affect it: the fewer weak ties, the greater franchise system uniformity. These results allow the authors to identify differences between outlets that carry out commercial and physical transformation activities and those in which only commercial activities are carried out. Specifically, uniformity is greater in outlets that perform both commercial and productive activities, and lower in outlets that only carry out commercial activities.

The paper shows that uniformity can be regarded as a source of competitive advantage in the context of franchise operations with multiple centres dispersed geographically.

The purpose of this paper is to present a quantitatively supported explanation of the intellectual development, the schools of thought and the sub-areas of the food cold chain (FCC) research to derive meaningful avenues for future research.

This study builds on bibliometric analysis and network analysis to systematically evaluate a sample of 1,189 FCC articles published over the past 25 years. The descriptive statistics and science mapping approaches using co-citation analysis were performed with VOSviewer software.

The findings reveal a state-of-the-art overview of the top contributing and influential countries, authors, institutions and articles in the area of FCC research. A co-citation analysis, coupled with content analysis of most co-cited articles, uncovered four underlying research streams including: application of RFID technologies; production and operation planning models; postharvest waste, causes of postharvest wastage and perishable inventory ordering polices and models; and critical issues in FCC. Current research streams, clusters and their sub-themes provided meaningful discussions and insights into key areas for future research in FCC.

This study might reshape practitioners’, researchers’ and policy-makers’ views on the multifaceted areas and themes in the FCC research field, to harness FCC’s benefits at both strategic and tactical level. Finally, the research findings offer a roadmap for additional research to yield more practical and modeling insights that are much needed to enrich the field.

The purpose of this paper is to analyze how, in three different contexts, the National Council for Advertising Self-Regulation narratively uses its past to build an official history concerning its origins that legitimates advertising self-control as a hegemonic narrative.

By using the historical research and the “uses of the past” approach, this study identifies, analyzes and confronts three organizational histories of Conar’s origins (both its official and unofficial versions) in the context of the creation of the Brazilian system of advertising self-regulation.

After a thematic analysis of the documentary sources, the narratives on the National Council for Advertising Self-Regulation’s origins and the self-control process were grouped into three versions: the narrative under the military regime: 1976/1980; the narrative during the process of re-democratization of the country: 1981/1991 and the contemporary narrative: from 2005 onwards. These narratives were confronted and, in consequence, provided, each of them, a different interpretation of the context surrounding the creation and justification for advertising self-control.

The study shows how a consumer defense organization re-historicized its past strategically to gain legitimacy in three different ways through time. It also reveals that organizations strategically use their past to build an intended vision of the future, thus having more agency than the hegemonic literature in management studies usually guarantees. Finally, it exposes the malleability of past narratives through which organizations play a critical role in the ongoing struggle for competing uses of the past. Therefore, the study identifies different organizational stories through time that allow researchers to reflect on several strategic uses of the past by organizations.

The purpose of this paper is to investigate the association between the strength of intellectual capital (IC) and small- and medium-sized enterprise (SME) innovation performance.

Primary data of 150 SMEs belonging to manufacturing medium-high tech industries were collected through a survey. The methodology consists of a confirmatory factor analysis and a cluster analysis, complemented by a t-test, to assess whether there is a significant difference in terms of innovation performance of SMEs characterized by a different strength of IC.

Overall, the findings show that SMEs of the sample can be divided into two groups characterized by a different strength of IC, and those SMEs disclosing a higher strength of IC, in terms of human capital, innovation capital and relational capital, exhibit a significantly higher radical and incremental innovation performance.

The present study provides SME entrepreneurs and managers with an empirical evidence that possessing strong IC in its three dimensions seems to help SMEs reinforce their ability to generate both radical and incremental innovation. This calls that SME entrepreneurs and managers need to identify and effectively manage IC in order to strengthen and effectively leverage their investments on IC.

This study is particularly relevant because, instead of focusing on single categories of IC as previous studies mainly do, it adopts an overarching perspective of the dimensions of IC and their impact on both radical and incremental innovation performance. Moreover, it focuses on the SME context which has been less investigated than large firms within the domain of IC.

The present paper is aimed at 1) performing a systematic literature review (SLR) on applications in the perspective of sustainable agri-food supply chain (SC) of blockchain technology (BCT); 2) analyzing the selected literature, focusing on the advantages of the sustainable uses of the blockchain of the aforementioned SC and 3) presenting an outlook and research directions capable of addressing unresolved problems.

The SLR was conducted using detailed criteria to identify academic articles. Moreover, specific keywords and databases were used. The time frame considered included the years 2010–2020.

The review analysis indicates that the use of BCT or BCT supported by ICT/IoT contributes to sustainability of agri-food production. However, this technology can lead to several challenges such as scalability, privacy leakage, high cost and connectivity problems.

The paper demonstrates that BCT can widely use agri-food supply chain due to its intrinsic characteristics. However, it is not excluded that the criteria chosen may not have identified important articles regarding BCT, the agri-food sector and sustainability.

Although the body of academic literature published on this topic is expansive, the effect of BCT on the agri-food SC's sustainability aspects has not yet been adequately analyzed. Thus, the article is aimed at investigating how BCT is used in the SC. In particular, the article is intended to update information about BCT and its impact on sustainability.