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Low citizen adoption rates jeopardize the success and proliferation of e-government systems. This study aims to understand how the perception of environmental sustainability (ES) can influence a citizen’s intention to use e-government systems.

In a case study in Peru, the technology acceptance model (TAM) adoption model is extended with the construct of ES and evaluated with structural equation modeling. An 18-element, in-person survey was constructed and administered to citizens of Lima, Peru who had prior exposure to e-government systems.

The results show that citizens can be positively influenced to adopt e-government systems if they perceive that doing so will contribute to ES.

As this was a preliminary study, further research should focus on specific, as opposed to general, e-government systems, as well as encompassing a broader cross section of the population.

Administrators of e-government initiatives can consider public-interest factors, alongside of the common self-interest factors, when looking to improve adoption rates of e-government systems.

This is the first time that TAM has been extended with the construct of ES.

Women entrepreneurship has grown significantly all over the world, and it is widely established that entrepreneurship is important for economic growth and wealth. Despite those facts, women’s participation in entrepreneurship is lower than men’s in almost all societies. Those phenomena get the attention of scholars from diverse disciplines, all of them interested in the behaviour and profile of female entrepreneurs and their business success rates. Several isolated factors were studied, with positive and negative effects on each stage of the entrepreneur process, for women entrepreneurs, so the purpose of this research is identify, classify by their impact and organise those factors in relation to the stages of the entrepreneur process.

The literature on factors affecting female entrepreneurship produced since January 2010 until October 2015 is analysed to define entrepreneurial success, identify factors affecting success at each stage of the entrepreneurial process and propose and organise those factors at individual and environment levels.

Several factors affecting female entrepreneurial success at each stage of the entrepreneurship process were found and organised at the internal (individual), micro, meso and macro environment level. In the literature reviewed, the most considered factors are: at the internal level, human capital, education and experience, with effects on the opportunity identification stage of the entrepreneurial process, and at the micro environment level, access to resources with effects on the opportunity recognition, acquiring resources and entrepreneurial performance stages, both with influence on quantitative and qualitative indicators of success.

This paper proposes an integrated classification and an array for all those factors that have an influence on women’s entrepreneurship and its success, relating those to the entrepreneurship process.

As university–industry collaboration (UIC) is associated to transfer of knowledge and technology, this collaboration is an extremely important field of study for the world's economies that helps industries become more competitive. UIC will assist universities in fine-tuning universities' educational programs to match with the industrial demand. This study, thus, presents a systematic literature review related to UIC in technology development process and technology commercialization.

The Scopus database is used to extract the relevant articles. First, in presenting the articles, four scientometric analyses are used to visualize the bibliometric clusters, namely articles and journals co-citation analysis, countries collaboration analysis and keywords co-occurrence analysis. Next, a qualitative approach is used to classify the articles according to the methodology used and type of research. Finally, a research trend and keywords' evolution based on keywords are also provided.

Results of this study reveal that majority of the articles used qualitative approach and descriptive analysis to explain the knowledge flow between industries and universities. According to the research trend analysis, researchers in this field were moving from the knowledge-based economy topic (from 2010–2013) to product development (2014–2015), technology commercialization (2016–2017), open innovation (2018–2019) and then currently are focusing on the green entrepreneurship topic.

This study is expected to facilitate scholars to uncover gaps in the literature of UIC.

This study extends the use of scientometric analysis. The combination of “bibliometrix” R-package tool and VOSViewer software to perform the analysis is expected to give a new insight of doing the systematic literature review.

The authors systematically review empirical dyadic service encounter research published in top-tier journals between 1972 and 2022.

The authors employed bibliometric techniques, co-citation analysis and bibliographic coupling analysis to map schools of thought and research frontiers within the dyadic service encounter literature. In total, the authors analyzed 155 articles. To ensure inclusion of high-quality research, the authors screened articles from 139 journals with “4” or “4*” ratings on the 2021 Chartered Association of Business Schools (ABS) journal list, in addition to articles published in three service sector-specific journals: Journal of Service Management, Journal of Services Marketing and Journal of Service Theory and Practice.

The authors' co-citation analysis identified four distinct clusters within the dyadic service encounter literature: (1) shaping and explaining service encounters; (2) emotions in service work; (3) modeling, manipulating and measuring encounter service quality and (4) emotional labor and regulation in dyadic service encounters. Furthermore, the authors' bibliographic coupling analysis generated three research clusters: (1) service encounter characteristics; (2) emotions and emotional labor and (3) service encounter interaction content.

The authors' comprehensive review synthesizes knowledge, summarizing similarities among research clusters within the service encounter realm. Noteworthy are research clusters that clarify the emotion-based underpinnings and reciprocal nature of behaviors and emotions within dyadic encounters. By conducting complementary bibliometric analyses, the authors trace the evolution of the service encounter literature, providing an overview of the present state of dyadic service encounter research. These analyses offer valuable insights into the current landscape of the field, identifying future dyadic service encounter research opportunities.

The purpose of this paper is to study the profit optimization of manufacturers who provide personalized products to customers, thus avoiding additional operational costs and response times in the production process of personalized product design.

First, the authors present an integrated model for optimizing profit where the design and production of personalized products are both considered. The authors propose the concept of personalization level and four cases of personalization level are considered including top, high, medium and low levels. Polynomial-time optimal rules are provided for each level by analyzing 17 subcases where all possible personalized products are considered. Then, the authors compare the obtained profit of personalized products with the optimal profit of standardized products.

At low and high levels of personalization, personalized manufacturing is more profitable for specific products with specific characteristics. At the top and middle level of individuation, assuming that the product has certain characteristics, whether the best choice to produce personalized products depends on the level of individuation chosen by customers.

An important decision issue for manufacturers is whether to produce personalized or standardized products. In this study, the authors consider this decision problem and analyze the operational functions of personalized products. The authors hope to provide theoretical support in the operational management of manufacturers offering personalized products.

Despite being a widely used management technique, cumulative sum (CUSUM) analysis remains almost unheard of in professional sport. To address this, CUSUM analysis of soccer match data from the English Premier League (EPL) was performed. The primary objective of the study was to evaluate CUSUM as a tool for assessing “on-field” team performance. As a secondary objective, the association between managerial change and team performance was evaluated.

CUSUM was applied retrospectively to goal difference data for six EPL teams (Arsenal, Chelsea, Everton, Liverpool, Manchester United and Tottenham) over 23 consecutive seasons from 1995 to 2018. This was supplemented with change point analysis to identify structural changes in mean goal difference. Succession was evaluated by mapping historical managerial changes onto the CUSUM plots for the respective clubs.

CUSUM analysis revealed the presence of structural changes in four clubs. Two structural change points were identified for both Chelsea and Everton, one for Manchester United and Tottenham and none for Arsenal and Liverpool. Relatively few managerial changes coincided temporally with structural changes in “on-field” performance, with most appointments having minimal impact on long-term team performance. Other factors (e.g. changes in ownership) appear to have been influential.

The study was limited by the fact that only successful teams were investigated.

CUSUM analysis appears to have potential as a tool for executive decision-makers to evaluate performance outcomes in professional soccer.

The study is the first of its kind to use CUSUM analysis to evaluate team performance in professional soccer.

This paper aims to analyze the characteristics of Brazilian micro and small businesses (MSBs) and the main lessons derived from the largest small business innovation support program in the country, the Local Innovation Agents – Agentes Locais de Inovação (ALI) Program.

In total, 34 papers were selected from the Web of Science and Scopus databases (28), as well as from the Revista de Administração e Inovação – RAI (6), a seminal Brazilian innovation journal. The papers were analyzed in terms of the regional context, methodological approach and main findings. Regional complementary analyzes of some program figures were also performed by Spearman correlation and Wilcoxon signed-rank tests.

The review revealed a low innovation level among Brazilian MSBs and that the platform (incremental product) and brand (marketing) innovation dimensions were the most developed across different regions and industries. Reviewed papers also showed that all MSBs were able to improve innovation over the program independent of previous management and innovation levels, besides positive relationships between management and innovation. The complementary analysis provided a regional panorama of the program figures and corroborated MSBs innovation improvement.

This review analyzed relevant papers and figures related to the program, summarized main lessons and provided future research venues.

Different innovation strategies reviewed may be implemented by MSBs owners. Policymakers may also benefit from the program experience.

Despite the high number of publications and the relevance of the largest Brazilian innovation support program, there were still no literature reviews comprehending the diverse lessons derived from the ALI Program, as well as a regional panorama of the program figures.

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.