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The purpose of this paper is to present a model to describe the nonlinear and hysteretic properties of ferromagnetic materials.

The energetic model of ferromagnetic hysteresis evolved from some well‐known concepts in ferromagnetism in the last years. The magnetisation process is calculated from energy balance and statistical domain behaviour. Based on vectorial, anisotropic, multi‐domain considerations an isotropic, scalar model is derived, which gives quite simple equations to describe the nonlinear, hysteretic magnetisation process.

The presented simulations for steel samples and ferrite samples show very nice correspondence with measurements.

The scalar model seems to be especially suited for integration into finite element modelling or into simulations of electro‐magnetic circuits.

The accurate simulation of battery cells is of growing interest in automotive industry especially in hybrid vehicle technology. Conventional lumped parameter models are not able to predict the battery voltage accurately. Thus models describing the physics of the battery cell are searched. In this paper a model consisting of six partial differential equations is proposed, which predicts the state of charge (SOC) and the battery voltage for given charge and discharge current densities.

Although emerging literature has discussed different consumer–brand relationships and addictive behavior constructs, to date, it has not explored the brand addiction phenomenon. This study aims to undertake a conceptual inspection to better understand the nature of the brand addiction phenomenon, thereby providing a clear and concise conceptual definition.

To develop a concise definition of brand addiction, the researcher applies a conceptual development procedure, which identifies potential attributes of brand addiction by assembling a descriptive set of definitions, collecting the construct’s key attributes, generating a preliminary definition of brand addiction, identifying unique and shared attributes of brand addiction with other constructs in related areas and, finally, refining the conceptual definition based on a set of guidelines.

This study defines brand addiction as a psychological state that entails an emotional attachment to a particular brand, driven by compulsive urges that generally provide pleasure. This involves dependence, habit formation, loss of control, failure to withstand impulses and tension before starting the behavior related to the addicted brand. In addition, some of the following attributes might also characterize brand addiction: social, mental and behavioral preoccupation with the brand, tolerance development, frequent engagement in activities related to the brand, restlessness or irritability when unable to engage in activities/behaviors related to the addicting brand, repeated efforts to stop the behavior and dismissal of occupational, social and recreational activities to engage in activities related to the addicting brand.

Since the concept of brand addiction has not been empirically tested, this paper has the potential to append a compulsory conceptual understanding of the concept of brand addiction by developing an accurate definition that serves in discriminating the focal concept from other constructs in related areas, and helps advance subsequent work for theory development.

This paper aims to develop a definition of brand addiction and a valid brand addiction scale (BASCALE).

The authors used focus-group results to define brand addiction and generate items for the BASCALE and validated the BASCALE with survey data collected in the UK.

Based on the 11 brand-addiction features found from the focus groups, the authors define brand addition as an individual consumer’s psychological state that pertains to a self-brand relationship manifested in daily life and involving positive affectivity and gratification with a particular brand and constant urges for possessing the brand’s products/services. Based on the survey study, the authors have established a valid ten-item BASCALE.

Due to the survey’s setting in the fashion context in the UK, the authors do not intend to generalize the results to other product types and countries. Future research should replicate the BASCALE in different product categories and different countries.

The BASCALE can serve marketers in the behavioral segmentation and assist brand managers to identify brand addict consumers and maintain long-term relationships with them.

The authors have developed a definition of brand addiction and a valid BASCALE, which one can use for a wide range of theoretical and empirical research in the marketing and psychology fields. The definition and BASCALE also serve to differentiate brand addiction from other consumer–brand relationships and addiction constructs (e.g. compulsive buying, brand love and brand trust).

Just like human beings, some companies engage in recurrent bad behaviour that negatively impacts their stakeholders and their prospects for long-term survival. For example, some firms become caught up in a vortex of corruption. SNC-Lavalin, a large Canadian consulting engineering company, is an example of one organisation that embarked on this path. Since then, the company has taken numerous steps to overcome its persistent problems with corruption. The object of this study is to determine whether these steps can be compared to the 12-step program of Alcoholics Anonymous (AA), which is recognised for helping individuals overcome addiction to alcohol and drugs.

To examine events at SNC-Lavalin between 2000 and 2022, the authors carry out an in-depth examination of internal and external documentation. Three sources of data are used: archival documents, news articles and corporate documentation.

The results of the analysis show that the AA 12-step program seems to correspond to the steps SNC-Lavalin has taken over time. The “organisational” version of this program that the authors have developed could be useful to advisers of companies that are struggling with other types of bad behaviour and wish to stamp it out. These bad behaviours include the exploitation of vulnerable manpower, the exploitation of consumers through planned obsolescence or aggressive sales practices and pollution in all its forms.

The study has certain limitations. It should be noted that the analyses were limited to public information. In addition, given the quantity of public information available for the period from 2009 to 2022, a methodical approach to selecting the sources of information elements was applied, which inevitably entailed ignoring other sources of information (e.g. television, radio and internet).

This study adds to previous work by providing an original and global perspective of the steps taken by a large international consulting engineering firm to overcome its recurring corruption problems. The parallel drawn with AA’s 12-step programs seems to correspond surprisingly well to the steps taken by the company. This parallel can potentially serve as a roadmap for advisers who have to counsel companies on recurring misconduct that has harmful repercussions for their stakeholders.

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.

The literature includes several studies that define different critical success factors (CSF) which have to be considered to support the implementation of technology-enhanced learning (TEL) approaches. An analysis of such studies revealed that (1) regional differences seem to determine the CSF for TEL approaches, (2) certain CSF are relevant for TEL approaches in general, and (3) professionals in higher education determine which influential factors they consider when implementing TEL approaches. Thus, the question arises: in general, which influential factors do professionals in Austrian and German institutions of higher education actually consider when implementing TEL approaches?

The study is a quantitative research approach based on survey data.

The results show that certain influential factors seem to be generally important, such as the factors of respecting learning success or motivation. However, the outcome of the study also indicated that different moderating variables like experiences and personal relevance affect the professionals’ choices.

The originality and value are in the approach to identify generally important influential factors for the implementation of TEL approaches in Austrian and German institutions of higher education.

The purpose of this study is to explore the role individual innovativeness along with e-learning self-efficacy play in predicting the e-learning readiness of first- and second-year students of an open and distance education institutions in an African context.

Therefore, building on previous related research in this area, a quantitative approach was adopted to address the research questions and to establish whether a statistically significant relationship existed between individual innovativeness, e-learning self-efficacy, the independent variables; and e-learning readiness, the dependent variable. In total, 476 first- and second-years students of the university participated in the four-Likert-type scale survey. The research instrument which comprises 74 survey items was completed by 217 of the students. Statistical tools used for analysing data included both Pearson Product Moment Correlation coefficients and t-tests.

It was discovered that a strong positive and significant relationship was observed between individual innovativeness and e-learning readiness of first- and second-year students of the Yenagoa Study Centre of the National Open University of Nigeria (NOUN); a statistically significant relationship was also found between e-learning self-efficacy scores and the e-learning readiness of the first- and second-year students of the Yenagoa Study Centre of NOUN; there was a statistically significant joint relationship between the three variables under investigation; findings equally revealed that male respondents had higher e-learning readiness than their female counterparts.

Like every other study of this nature, this one also suffers some limitations. First, NOUN is a very large university with over half a million students spread across almost 78 study centres. This means that observation from just one study centre amounts to a very small sample size. This according to Schweighofer, Weitlaner, Ebner and Rothe (2019) jeopardises the generalisability and validity of study results. The authors also maintain that empirical data generated from surveys that usually rely participants' abilities to read and select responses without further interpretation by the researchers suffer from cognitive biases like social desirability. To address the above limitations, detailed studies involving all studies centres of NOUN be undertaken and other qualitative and or mixed research methodologies be adopted in the future.

The implications for this study are that people who are innately innovative will willingly accept technology and by extension, learning in technology-rich environments like those found in like NOUN whose mode of study is blended learning inherently found in open and distance learning (ODL) institution. Therefore, this study is significant as it will provide relevant information to the management and administrators of NOUN, policymakers and regulatory institutions for the development, deployment and implementation of e-learning strategies. Findings will also benefit e-learning initiatives undertaken by similar institutions that adopt the ODL mode of education in Nigeria and other developing countries.

Even though, studies on the antecedents of e-learning readiness have been widely conducted across diverse contexts, studies exploring the associations between individual innovativeness, e-learning self-efficacy and e-learning readiness are relatively hard to come by. The above two variables as predicting the e-learning readiness in the study context are comparatively new. This study thus focuses on the relationships between the individual innovativeness levels, e-learning self-efficacy beliefs of students and their e-learning readiness which ultimately determines their ability to sustain studies in an ODL institution.

Motivation significantly influences learning and memory. While a long history of research has focused on simple forms of associative learning, such as Pavlovian conditioning, recent research is beginning to characterize how motivation influences episodic memory. In this chapter we synthesize findings across behavioral, cognitive, and educational neuroscience to characterize motivation’s influence on memory. We provide evidence that neural systems underlying motivation, namely the mesolimbic dopamine system, interact with and facilitate activity within systems underlying episodic memory, centered on the medial temporal lobes. We focus on two mechanisms of episodic memory enhancement: encoding and consolidation. Together, the reviewed research supports an adaptive model of memory in which an individual’s motivational state (i.e., learning under states of reward or punishment) shapes the nature of memory representations in service of future goals. The impact of motivation on learning and memory, therefore, has very clear implications for and applications to educational settings.

In 1993, Austria embarked on comprehensive legislation to combat money laundering. The principal areas of legislation on the prohibition and the prevention of money laundering are: