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The purpose of this paper is to analyze the impact of magnetic saturation on the steady‐state operation of the induction motor (IM) drive in regard to rotor field‐oriented control (RFOC). The aim of the presented two methods is to obtain the required steady‐state torque with minimal stator current, which thus reduces stator coper losses considerably.

The first method is based on an analytic calculation of the peak torque‐per‐ampere ratio curve of saturated IM. The torque characteristics obtained at a constant stator current are used to calculate that value of magnetizing current which gives the minimal stator current for the required load torque. The second method directly searches the minimal stator current for the required load torque. Experiments completely confirm the efficiency of the proposed selection of a magnetizing current reference.

Operation of the IM drive strongly depends on a proper selection of the rotor flux linkage reference value, the selection of which represents an additional degree of freedom in control design. Therefore, it can be used to optimize some of those drive features subjected to voltage and current constraints. The proposed calculation procedure is simple so that can be easily implemented in practically application. However, some additional IM data like magnetizing curve, inertia moment, and coefficient of viscous friction are necessary.

The substantial impact of saturation on the stead‐state torque characteristics of IM, determined for the constant stator current and the constant d‐axis stator current, is determined analytically and numerically.

The paper aims to examine accounting changes in the Ashanti Gold Corporation (AGC) in Ghana over 120 years from pre-colonialism to recent times and whether the framework of management accounting transformations in Hopper et al. (2009) is applicable.

Mixed data sources are used, namely, interviews, some observations of practices, historical documentation, company reports and research papers and theses. The results are categorised according to the periods and contextual factors in the Hopper et al. framework to test whether it matches the data collected.

Despotic controls with minimal management accounting but stewardship accounting to the head office in London prevailed under colonialism. Upon independence state, capitalist policies descended into politicised state capitalism. Under nationalisation, the performance of mines deteriorated, and accounting became decoupled from operations. In the early 1980s, fiscal crises forced Ghana’s government to turn to the World Bank and International Monetary Fund for loans. This period marked a gradual transformation of AGC into a foreign multinational, organised along divisional lines and currently exercises despotic control through supply chain management that renders labour precarious and is neglectful of corporate social accounting issues.

The work challenges neo-classical economic prescriptions and analyses of accounting in developed countries by indicating its neglect of the interests of other stakeholders, especially labour and civil society. Accounting is important for development but the article infers other forms may better serve the public interest.

The paper tests the Hopper et al. framework with respect to a large private multinational in the commodity sector over an extended period, which differs from the case studies drawn on originally.

With a focus on the position of EU mobile workers in the Dutch meat industry, this article discusses the multi-level State efforts to enhance protection of workers who experienced limited protection of existing State and private enforcement institutions. The COVID-19 pandemic, with virus outbreaks at Dutch meat plants, fuelled public and political will to structurally improve these workers' precarious work and living conditions. Yet, the process of policy change is slow. The authors show it is the gradual transformation in the institutional environment that the State needs to counter to become more protective for EU mobile workers.

Using the gradual institutional change approach and the concept of State ignorance, the authors examine State responses drawing on interviews with expert stakeholders in the public and private domain, public administration records and newspaper articles.

Through knowledge creation, boosted social dialogue mechanisms, enhanced enforcement capacity and new housing legislation, the Dutch State focuses on countering gradual institutional change through which existing institutions lost their effectiveness as protectors of EU mobile workers. The organization of work is, nevertheless, not (yet) fundamentally addressed with tighter public legislation.

The findings contribute to a more nuanced understanding of the role of the State as multifaceted actor in institutional change processes towards increased protection for EU mobile workers.

This article explains that in the current global context dominated by market ideology, there has been a significant shift in the nature of the state based on promarket neoliberal principles in most countries, including those in the developing world. Under this emerging neoliberal state characterized by the primacy of market forces and adoption of market-driven policies and programs, the role of the public service has also changed in terms of its increasing concern for streamlining public sector activities, enhancing economic efficiency, improving customer satisfaction, and so on. After exploring such impacts of the current neoliberal state formation on the public service's role, the article briefly examines the socio-political consequences of this changing role, especially in developing nations.

The purpose of this paper is to propose mover position control of linear induction motor (LIM) using an adaptive backstepping approach based on field orientation.

First, the indirect field‐oriented control LIM is derived. Then, an adaptive backstepping approach based on field‐oriented control of LIM is proposed to compensate the uncertainties which occur in the control. Mover position amplitude tracking objective is formulated, under the assumption of unknown total mass of the moving element, viscous friction, and load force, so that the position regulation is achieved.

The effectiveness and robustness of the proposed control scheme are verified by numerical simulation using Matlab/Simulink model. The numerical validation results of the proposed scheme have presented good transient control performances and robustness to uncertainties compared to the conventional backstepping control design.

The paper presents an adaptive backstepping approach for LIM control that achieves mover position amplitude tracking objective under mechanical parameter variation.

States that computer simulations of seam pucker were executed. The simulations were based on the computer program which predicts the shape of virtual fabric with an assumption that the relationship between stress and strain of the virtual fabric is linear. The simulations predicted the shape of fabric with the conditions such as material puckering and mechanical properties of fabric. The rating of simulated seam pucker changes according to material puckering. It was shown that bending stiffness and tensile modulus affect the rating of seam pucker. Seam pucker samples were made from fabric for comparison. Computerised seam pucker samples were executed utilising the same properties and shape of seam line as the sample fabric. A fairly similar shape was obtained by the simulation.

The bank is termed as an imperative part of the marketing economy. The failure or success of an institution relies on the ability of industries to compute the credit risk. The loan eligibility prediction model utilizes analysis method that adapts past and current information of credit user to make prediction. However, precise loan prediction with risk and assessment analysis is a major challenge in loan eligibility prediction.

This aim of the research technique is to present a new method, namely Social Border Collie Optimization (SBCO)-based deep neuro fuzzy network for loan eligibility prediction. In this method, box cox transformation is employed on input loan data to create the data apt for further processing. The transformed data utilize the wrapper-based feature selection to choose suitable features to boost the performance of loan eligibility calculation. Once the features are chosen, the naive Bayes (NB) is adapted for feature fusion. In NB training, the classifier builds probability index table with the help of input data features and groups values. Here, the testing of NB classifier is done using posterior probability ratio considering conditional probability of normalization constant with class evidence. Finally, the loan eligibility prediction is achieved by deep neuro fuzzy network, which is trained with designed SBCO. Here, the SBCO is devised by combining the social ski driver (SSD) algorithm and Border Collie Optimization (BCO) to produce the most precise result.

The analysis is achieved by accuracy, sensitivity and specificity parameter by. The designed method performs with the highest accuracy of 95%, sensitivity and specificity of 95.4 and 97.3%, when compared to the existing methods, such as fuzzy neural network (Fuzzy NN), multiple partial least squares regression model (Multi_PLS), instance-based entropy fuzzy support vector machine (IEFSVM), deep recurrent neural network (Deep RNN), whale social optimization algorithm-based deep RNN (WSOA-based Deep RNN).

This paper devises SBCO-based deep neuro fuzzy network for predicting loan eligibility. Here, the deep neuro fuzzy network is trained with proposed SBCO, which is devised by combining the SSD and BCO to produce most precise result for loan eligibility prediction.

An emerging global ethics is outlined that can serve as the foundation for a global management ethos. In so doing, what a global management ethos is is defined, what would make it possible discussed, and its benign and malignant forms distinguished. The global management ethos (GME) described and advocated combines macro libertarianism and micro diversity.

Work–life programs research has been conducted at the individual and organizational levels, yet one important question remains unanswered: Do work–life programs improve organizational outcomes?

This paper presents a systematic literature review of the impact of work–life programs (bundles versus separate programs) on outcomes at the organizational level. A systematic selection process was adopted, resulting in a final sample of 35 articles published in 26 peer-reviewed journals from 1990 to 2019.

The findings suggest that these programs can result in positive, negative or no impact on organizational outcomes, depending on the study design, industry, organization size and country/region.

This review draws on quantitative and qualitative empirical studies to summarize, explain and refine the business case for work–life programs. The resulting framework provides directions for future research.

To clarify the relationship between corporate social responsibility (CSR) and profits.

Explicates CSR against the background of a larger thesis (Coase) about the role of firms in a market economy.

There are three different senses of CSR: negative – what not to do (illegal); positive – innovative products and services; and supplementary. There is a clear hierarchy or prioritization here: negative > positive > supplementary.

There are four areas in which supplementary obligations contribute directly to the bottom line: the environment, marketing, recruitment, and international.

This paper overcomes false dualisms between CSR and profits, avoids hidden political agendas, and offers persuasive arguments for firms to engage in relevant CSR activity.