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The accurate modeling of magnetic hysteresis in electrical steels is important in several electrical and electronic applications. Numerical models have long been known that can correctly reproduce some typical behaviours of these magnetic materials. Among these, the model proposed by Jiles and Atherton must certainly be mentioned. This model is intuitive and fairly easy to implement and identify with relatively few experimental data. Also, for this reason, it has been extensively studied in different formulations. The developments and numerical tests made on this hysteresis model have indicated that it is able to accurately reproduce symmetrical cycles, especially the major loop, but often it fails to reproduce non-symmetrical cycles. This paper aims to show the positive aspects and highlight the defects of the different formulations in predicting the minor loops of electrical steels excited by non-sinusoidal currents.

The different formulations are applied to different electrical steels, and the data coming from the simulations are compared with those measured experimentally. The direct and inverse Jiles–Atherton models, including the introduction of the dissipative factor approach, are presented, and their limitations are proposed and validated using the measurements of three non-grain-oriented materials. Only the measured major loop is used to identify the parameters of the Jiles–Atherton model. Furthermore, the direct and inverse Jiles–Atherton models were used to simulate the minor loops as well as the hysteresis cycles with direct component (DC) bias excitation. Finally, the simulation results are discussed and compared to measurements for each study case.

The paper indicates that both the direct and the inverse Jiles–Atherton model formulations provide a good agreement with the experimental data for the major loop representation; nevertheless, both models can not accurately predict the minor loops even when the modification approaches proposed in the literature were implemented.

The Jiles–Atherton model and its modifications are widely discussed in the literature; however, some limitations of the model and its modification in the case of the distorted current waveform are not completely highlighted. Furthermore, this paper contains an original discussion on the accuracy of the prediction of minor loops from distorted current waveforms, including DC bias.

This paper aims to use the Social Cognitive Career Theory and a serial mediation model to explore how entrepreneurial self-confidence and attitudes mediate the connection between entrepreneurial education and entrepreneurial intention. Additionally, the study seeks to examine how gender impacts these relationships.

To test the formulated hypothesis and the serial mediation effect, a sample of 1,266 master’s students from nine universities/institutions across three primary regions of Vietnam was used. The structural equation modeling technique, with Gaskin (2019)'s plugin and a 5,000-bootstrapping sample, was applied. Also, a multi-group analysis was used to illustrate the differences between male and female students in the relationships between variables.

The research reveals that entrepreneurial education plays a contributive role in increasing entrepreneurial self-efficacy, entrepreneurial attitudes and startup intentions. Entrepreneurial self-efficacy and entrepreneurial attitudes also serve as serial mediators in the entrepreneurial education-intention relation. Moreover, this study demonstrates the significant moderation role of gender in these links.

The outcomes of the current research hold significance for educators, policymakers and practitioners, as they can use these findings to encourage individuals to engage in entrepreneurial activities and to improve the overall entrepreneurial ecosystems.

The current research sheds new light on the entrepreneurship and gender literature by using the Social Cognitive Career Theory to elucidate the serial mediating role of entrepreneurial self-efficacy and entrepreneurial attitudes in the relation between entrepreneurial education and entrepreneurial intentions.

This study aims to analyze the factors affecting tea-producing farmers' intention to use e-commerce exchanges (ECEs) to sell their products, combining the technology acceptance model (TAM) theory and barrier factors.

The authors use the generalized structural equation modeling (GSEM) to analyze the intermediate model that is built on TAM.

Research results show that perceived usefulness (PU) and perceived ease of use (PEU) significantly influence farmers' intention to use ECEs to sell their products. However, knowledge and information barriers hinder farmers' intention to use such ECEs.

Encouraging farmers to use ECEs is the most helpful solution for agricultural economic development in the context of the Covid-19 pandemic.

From an academic perspective, this is the first study that combines the TAM theory of Davis (1989) and barrier factors to analyze farmers' intention to use ECEs. The findings are valuable references for policymakers to propose strategies for agricultural economic development during the current pandemic. At the same time, the empirical results obtained from this study provide good orientations for agricultural economic development 4.0 in the future.

The purpose of this study is to evaluate the profit efficiency of decision-making units (DMUs) based on predicted future information to solve the lag problem of improvement benchmarks given by the traditional profit efficiency model.

This paper proposes a two-step profit efficiency evaluation method. The first step predicts the future input and output information of DMUs through the past time-series data, obtaining a likely production possibility set (PPS) and profit frontier for the next period. The second step calculates DMUs' profit efficiency based on the predictions obtained in the first step and provides predictive benchmarking for DMUs.

The empirical results show that the proposed method yields good solutions for the lag problem of benchmarks given in ex-post evaluation, enabling bank managers to use predicted future information to achieve better improvement. Besides, compared with the technical efficiency measure, profit efficiency can better reflect the financial situation of DMUs and give the specific gap between the evaluated and optimal DMU.

For bank managers, the authors' new technique is advantageous for grasping the initiative of development because this technique accounts for the future development of the whole industry and sets forward-looking targets. These advantages can help banks improve in a more favorable direction and improve the asset management ability of banks.

This paper combines the data envelopment analysis (DEA) profit efficiency model with performance prediction and proposes a new two-step profit efficiency model, filling a gap in previous studies.

Entrepreneurship is one of the significant drivers of economic growth, development and job generation in several countries worldwide. Realizing its significant contribution to the nation’s development, policymakers and educators have also drawn attention to fostering entrepreneurship among the youth. Researchers attempted to comprehend the dynamics and investigate the factors influencing entrepreneurial intention (EI). As is true for other abilities and response tendencies, individual differences exist for EI also. This study aims to explore the relationship of emotional intelligence (EIn) and cognitive flexibility (CF) with EI and mediating effect of entrepreneurial self-efficacy (ESE) in the relationship between CF, EIn and EI.

The cross-sectional survey was conducted to gather responses from 635 individuals aged 17–26 years (M = 19.2, SD = 1.49). The hypotheses were tested using correlation, regression and mediation analysis.

The findings indicated that EIn and CF were significantly and positively related to EI. Furthermore, ESE was found to be a partial mediator between EIn and EI and a full mediator between CF and EI.

Results reflected the critical significance of ESE and implied that EI might be strengthened by intervening in ESE through various sources.

This study adds to the existing literature by incorporating less studied individual factors (EIn and CF) to better understand EI by explaining the mediation mechanism through ESE.

This paper investigates the factors affecting individual dispositions toward intentions. Specifically, this study aims to investigate the effects of emotional intelligence, entrepreneurial motivation and creativity on the entrepreneurial intentions of university students in Jordan.

The data were gathered through self-administered questionnaires from a sample of 745 university students in Jordan. The hypotheses were tested using partial least squares (PLS) analysis.

The results indicate a robust relationship between entrepreneurial motivation and creativity and entrepreneurial intention. However, an insignificant relationship was found between emotional intelligence and entrepreneurial intention. The findings of this study reveal that both creativity and emotional intelligence exert a significant and positive indirect effect on entrepreneurial intentions through the mediation of entrepreneurial motivation.

This work suggests that university administrators should consider the significant roles that emotional intelligence, entrepreneurial motivation and creativity play in shaping the entrepreneurial intentions of university students.

While there is limited existing research on this matter within the Middle Eastern context, especially in Jordan, this study aims to address this gap in the Jordanian entrepreneurial literature. As the first of its kind conducted within Jordanian universities, this study contributes significantly to the understanding of entrepreneurial dynamics in the region. Using the Wong and Law Emotional Intelligence Scale, this study evaluates emotional intelligence in Jordan. The results contribute to social psychology literature and suggest actionable government measures, integrated into education systems, to encourage entrepreneurial paths for students and alleviate graduate unemployment.

This study aims to investigate the role of social media in increasing trust, self-perceived creativity and millennial entrepreneurial satisfaction.

The empirical analysis was conducted using a sample of 385 millennial entrepreneurs that were recruited for online survey. After conducting reliability and validity tests, the data were analyzed using partial least squares structural equation modeling.

The results showed that the quality of social media information had a direct and indirect positive and significant effect on trust and satisfaction. Social media marketing activities had a direct and indirect positive and significant effect on trust and self-perceived creativity. System Quality of social media also has a significant direct influence on trust. However, there is no direct relationship to satisfaction. Finally, social media marketing activities have a significant direct effect on trust and satisfaction.

This research can contribute to marketing experts and millennial entrepreneurs in improving the quality of advertising information and the credibility of social media used to support creativity, trust and satisfaction. In addition, marketing experts and millennial entrepreneurs with online-based communities should optimize their marketing activities on social media.

This study has shown a more comprehensive model of the relationship between information quality, system quality, social media marketing activities, self-perceived creativity, trust and satisfaction. This study also reveals a significant direct and indirect effect of social media marketing activities on satisfaction.

The rate of project failure across the globe seems to reinforce poor performance as a norm. However, engagement with construction digitalisation (CD) represents a departure point for improving project performance. Amidst researchers' recent empirical engagement with CD, the knowledge of the relationship model between CD and project delivery (PD) is abysmal. As a result, developing a business case for CD in developing countries has been slow due to the dearth of empirical evidence. This paper aims to investigate the influence of digitalisation on project performance.

Anchored on cross-sectional survey research design using a questionnaire survey in which a total of 183 copies of structured questionnaires were randomly distributed to medium- and large-sized construction firms operating in Abuja, Nigeria's federal capital. A total of 126 valid responses were received giving an overall response rate of 68.8%. The responses were analysed using mean item score, principal component analysis and multiple linear regression.

Findings from the regression analysis reveal that digitalisation has varying levels of impact on PP measured using quality, time and cost. The relationship model with time performance is weak (r = 0.526, r² = 0.277); on cost performance, the significant model is also weak (r = 0.502, r² = 0.252) and moderate on quality (r = 0.663, r² = 0.439). CD influences project cost, time and quality performance despite the weak relationship model. The results indicate that the most effective benchmark of CD is quality performance.

This study established the relationship between digitalisation and construction PD within the construction industry context, an area lacking research attention in emerging economies. This study is the first study in emerging economies that established the influence of digitalisation on construction PD statistically.

Despite continuing workforce challenges over the last decade, the social care system is considered a key enabler in keeping older people out of hospital. In response to the workforce challenges, White Paper was released, which acknowledged the opportunities afforded by digital technology to assist older people ageing at home, often supported by informal caregivers. Given the policy emphasis on digital-enabled care, the most appropriate methods for evaluating its impact on social care outcomes have yet to be determined. The purpose this study was to review the current literature using a systematic approach to understand the methodological limitations to inform more robust evaluations in their use in future research.

This scoping review used a systematic approach adopting the framework of Arksey and O’Malley to examine studies examining the adoption of digital technologies to assist in older people’s ability to age in place.

The 21 relevant studies identified on digital technology to assist ageing-in-place are evolving. To date, it has focused on the efficacy and usability of the digital technologies themselves rather than investigating the impact of such technologies on re/enablement outcomes for older people. To rebalance this emphasis, there needs to be more research investigating the factors that enhance useability of digital technologies by older people and exploiting narrative data gained from qualitative research as they can provide valuable insights.

To the best of the authors’ knowledge, this is the first scoping review to consider qualitative methodological approaches for exploring ageing in place.

With increased populations and movement of people worldwide, traffic emissions will lead to an increase in carbon dioxide emissions, which is one of the greenhouse gases. This will increase outdoor air pollution and other environmental risks that will impact people's health and livelihood, crops, as well as the built environment such as architecture, buildings and other structures. Few studies have been devoted to addressing the effect of air pollution on historic buildings. However, there is no specific study on the impact of traffic-related emissions.

A thorough analysis has been conducted in selecting eight historic districts (HDs) among all of 31 located within the city of San Antonio. Motor Vehicle Emission Simulator (MOVES) software has been utilized to process the data collected from the average annual daily traffic (AADT) and vehicle operational speeds and evaluate the amounts of emissions for each HD.

MOVES outcomes showed that HDs are under the threat of deterioration caused by traffic emissions. Therefore, transportation and environmental planners need to implement sustainable solutions to reduce the impact of CO₂ emissions on HDs and, ultimately, historic buildings.

This study will help policymakers plan a better course of action for the future conditions associated with the increased traffic volumes. It is also beneficial for the developers, preservationists, architects and all other stakeholders willing to preserve the history of a country.