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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 propose an energetic model parameter calculation method for predicting the materials’ symmetrical static hysteresis loop and asymmetrical minor loop to improve the accuracy of electromagnetic analysis of equipment.

For predicting the symmetrical static hysteresis loop, this paper deduces the functional relationship between magnetic flux density and energetic model parameters based on the materials’ magnetization mechanism. It realizes the efficient and accurate symmetrical static hysteresis loop prediction under different magnetizations. For predicting the asymmetrical minor loop, a new algorithm is proposed that updates the energetic model parameters of the asymmetrical minor loop to consider the return-point memory effect.

The comparison of simulation and experimental results verifies that the proposed parameters calculation method has high accuracy and strong universality.

The proposed parameter calculation method improves the existing parameter calculation method’s problem of relying on too much experimental data and inaccuracy. Consequently, the presented work facilitates the application of the finite element electromagnetic field analysis method coupling the hysteresis model.

Luxury brands struggle to communicate their sustainability commitments to consumers due to the perceived incongruence between “luxury” and “sustainability”. This study aims to provide luxury brands with insights on how to engage consumers with different social value orientations (SVOs) to make sustainable luxury purchases in a compatible manner. It investigates the relationships between personal values (symbolism/universalism), SVOs (pro-self/prosocial orientation) and behavioral intentions toward sustainable luxury brands. It further explores whether these relationships may differ when consumers view themselves as individuals (salient personal identity is activated) versus group members (salient social identity is activated).

Study 1 (N = 419) used an online experiment in which participants were randomly assigned to either salient personal or social identity conditions to test the proposed model. Study 2 (N = 438) used a fictional brand to further validate the findings. Hypotheses were tested using covariance-based structural equation modeling (CB-SEM) and multi-group SEM.

Results indicate that prosocial orientation significantly increases consumers’ behavioral intentions toward sustainable luxury brands. Interestingly, pro-self-orientation can also drive intentions to support sustainable luxury brands when consumers’ personal identity is salient. Salient social identity can further strengthen the relationship between prosocial orientation and sustainable luxury behavioral intentions.

This study presents a novel, inclusive definition of sustainable luxury brands and adds theoretical rigor to the SVO framework by revealing the moderating role of salient identities, contributing to the body of knowledge in luxury brand research.

The aim of this research is to explore the relationship between destination supply-side factors, visitor demand-side factors and the role of local government authorities in supporting the drive tourism market with effective interventions. A mixed methods approach was used to gather qualitative data from 14 destination stakeholders, which informed the development of a survey of 397 drive tourists to the Atherton Tablelands, in the far north of Australia. The findings identified stakeholder concerns about fragmented regional promotions by different regional entities, weakened destination branding and infrastructure needs. Drive tourist surveys indicated that although the destination provides a competitive tourism experience, there were concerns about the availability of information. This research highlights the danger of destination disunity, and the theoretical and practical contributions of the learning destination concept to understanding the importance of destination-wide, stakeholder collaboration, although it may be difficult to implement.

The importance of mental wellbeing and the need for organizations to address it is increasing in the post-pandemic context. Although Artificial Intelligence (AI) is increasingly being adopted in HRM functions, its adoption and utility for enabling mental wellbeing is limited. Building on the Open System Theory (OST) and adopting the technology-in-practice lens, the authors examined the roles of human and technology agencies in enabling mental wellbeing.

The study was conducted in two stages; in Stage 1, the authors adopted a case methodology approach to examine the feasibility of a technology company's offerings to assess mental wellbeing. In Stage 2, the authors followed the grounded theory approach and interviewed 22 key stakeholders and HR leaders of diverse organizations. The authors used Gioia's approach to analyze the data.

The study demonstrates the interdependence and inseparability of human activity, technological capability and structured context. Specifically, the authors observe that AI adoption is pushing the boundaries of how organizations could support employees' mental health and wellbeing. These technological advancements and adoption are likely to facilitate the evolution of agentic practices, routines and structures.

This study carries two important implications. While the advent of cutting-edge technologies appears to affect employees' mental wellbeing, the study findings indicate the assistive role of technology in supporting mental wellbeing and facilitating changes in organizational practices. Second, the ontology of technology-in-practice shows how human–machine agencies gain newer relevance from the interactions that unite them. Specifically, per OST, technology (from an external context) can potentially change how mental wellbeing practices in organizations are managed. The authors extend the existing literature by suggesting that both human agents and internal contexts effectively limit the potential of technology agents to change existing structures significantly.

The authors address the need for more research on the technology-management interface, and the boundaries of technology-enabled wellbeing at work. While AI-HRM scholarship has primarily relied on micro-level psychological theories to examine impact and outcomes, the authors borrow from the macro-level theories, such as the OST and the technology-in-practice to explain how AI is shifting the boundaries of human and machine agencies for enabling mental wellbeing.

Cambodian and Laotian students (CLS) are among the largest groups of international students in intra-ASEAN student mobility as well as in Vietnamese higher education institutions (HEIs). However, little has been researched on the factors influencing CLS’s decision to choose Vietnam as destination country. The purpose of this study is to investigate why CLS decide to go overseas and choose Vietnam as their host country among other opportunities as well as their perceptions of the decision.

Using qualitative methods and employing purposive sampling, data were collected by semi-structured interviews from CLS studying in a HEI in the Mekong Delta of Vietnam. The data were analysed against the push–pull framework to understand factors influencing the participants’ decision.

The findings show that CLS in the study were “pushed” by the perceived higher value of a foreign qualification and family encouragements. In terms of pull factors, they were attracted to choose Vietnam as the host country most observably due to scholarship opportunities. However other pull factors were also significant, especially the lack of certain skills in home countries and its congruence with Vietnam’s competitive strength in offering courses for those skills. In retrospect, the participants expressed a sense of optimism, though there was also certain reservation.

The small sample restrict the generalisability of the findings.

As an exploratory study, the findings can lay the ground for largerscale studies investigating CLS mobility in Vietnam and be employed for inbound student mobility policymaking reference for HEIs in Vietnam as well as in other developing countries.

This study investigates why Cambodian and Laotian international students decide to go to Vietnam, a developing country in the lesser-known part of international student mobility landscape. This is a topic that remains under-researched in the Asia-bound student mobility literature. Insights from the study can not only contribute to the scholarly gap but also offer implications for HEIs in Vietnam and other Asian countries.

The purpose of this theoretical chapter is to rework a promising but limited theory of the foundations of reciprocity. Reciprocity is often attributed to an “internalized norm of reciprocity” – a deeply felt moral obligation to help those who have helped us in the past. Leifer's theory of local action develops a radically different and compelling foundation for reciprocity – one in which the impetus for reciprocity is a thinly veiled battle for status. We rework the theory to offer a new one that addresses its limitations. The key idea is that the impetus for reciprocity is the desire to signal that one intends to create joint value rather than to capture it from the counterparty.

Our analytical approach rests on close examination of a puzzling and underrecognized feature of social exchange: people who initiate social exchange routinely deny giving anything of value (“it was nothing”) while the receiver inflates their indebtedness to the giver (“this is too much!”). We refer to this negotiation strategy as reverse bargaining and use it as a window into the logic of social exchange.

We develop a more general theory of how people manage the threat of opportunism in social exchange that subsumes local action theory. The key insight is that people who initiate social exchange and seek reciprocity must balance two competing objectives: to ensure that the person receiving a benefit recognizes a debt she must repay; and to mitigate the receiver's suspicion that the giver's ulterior motive is to capture value from the receiver.