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High-temperature (HT°) motors are made with inorganic coils wound with a ceramic-coated wire. They must be carefully designed because the HT° insulating materials have a lower breakdown voltages than the polymers used for insulating standard machines.

The voltage distribution between stator coils is computed with high-frequency (HF) equivalent circuits that consider the magnetic couplings and the stray capacitances. Two time scales are used for getting a fast computation of very short voltage spikes. For the first step, a medium time scale analysis is performed considering a simplified equivalent circuit made without any stray capacitance but with the full PWM pattern and the magnetic couplings. For the second step, a more detailed HF equivalent circuit computes voltage spikes during short critical time windows.

The computation made during the first step provides the critical time windows and the initial values of the state variables to the second one. The rise and fall time of the electronic switches have a minor influence on the maximum voltage stress. Conversely, the connection cable length and the common-mode capacitances have a large influence.

HF equivalent circuits cannot be used with random windings but only to formed coils that have a deterministic position of turns.

The proposed method can be used designing of HT° machine windings fed by PWM inverter and for improving the coils of standard machine used in aircraft’s low-pressure environments.

The influence of grounding system of the DC link is considered for computing the voltage spikes in the motor windings.

The purpose of this paper is to provide further insight into operations management of the product-service (P-S) transition, known as servitization, and the resulting product service system (PSS) offerings. In exploring the P-S transition, this paper adopts a service-dominant (S-D) logic view of value creation, using it as a lens through which to explore value propositions of the P-S transition and their operations design.

This paper presents an in-depth case study of an original equipment manufacturer of durable capital equipment who, over the last five years, has expanded its offerings to include use- and result-orientated PSS. The research design uses a multi-method approach; employing 28 in-depth qualitative interviews with customers and employees and analysis of texts, documents and secondary data including five years of enterprise resource planning (ERP), call centre and contract data.

The paper identifies ten generic P-S attributes that are abstracted into four nested value propositions: asset value proposition; recovery value proposition; availability value proposition; and outcome value proposition. In examining the operations design for delivery of these value propositions, it is found that the role and importance of contextual variety increases as the organisation moves through the value propositions. Interdependencies amongst the value propositions and differences in operational design for each value proposition are also found.

The paper investigates PSS through a S-D logic mindset. First, the paper considers value propositions of PSS not according to “product” or “service” but in terms of how resources (both material and human) are optimally designed to co-create customer value. Second, a value co-creation system of nested value propositions is illustrated. In so doing, the findings have a number of implications for literature on both PSS and S-D logic. In addition, the research adds to the PSS literature through the identification and consideration of the concept of contextual use variety.

The paper demonstrates the complexity of the transition from product to service. Specifically, service cannot be seen as a bolt-on extra to their product offering; complexity caused by interactions and changes to the core offering require a systems perspective and consideration of both firm and customer skills and resources.

This paper extends existing literature on the P-S transition and its implications for operations management. Notably, it takes an S-D logic perspective of value creation and in so doing highlights the importance and role of contextual use variety in the P-S transition. It also provides further empirical evidence that the P-S transition cannot be treated as discrete stages but is evolutionary and requires a complex systems perspective.

This paper focuses on the need to revise the conceptualisation and measurement of evaluative style in future Reliance on Accounting Performance Measures (RAPM) research. Based on a review of the existing literature, we identify a number of issues in the conceptualisation and measurement of evaluative style and conclude that none of the existing measures is ideal for use in future research. We see two general dimensions of evaluative style that need specific attention in future research. The first dimension addresses the evaluative focus of the superior (e.g. budgets, other quantitative targets, short or long‐term targets, etc.). The second dimension addresses the superior’s way of handling the evaluation process (e.g. rigid or flexible, fixing blame, using it as a learning opportunity, etc.). Building on these two dimensions, there i a need for studies that assess how specific performance measures are used in different way within a particular organisational context, enabling a distinction between the design and the use of control tools. These conclusions suggest a need for qualitative indepth field studies within single organisations rather than quantitative survey research across organisations in future research on evaluative style and its behavioural consequences.

Historic districts are unique with its urban fabric, which hosts various activities and land uses. Such districts in the city center of cities are very active with many different users. Each activity attracts different users. Thus, urban mobility is very essential issue for these districts to function properly. Recent urban mobility needs are very different to those in former times, when these districts were built. Therefore, these districts are no longer compatible for contemporary urban mobility, thus, there are many problems facing these districts in reference to the urban mobility.

Zamalek, as one of the most important colonial district in the city center of Cairo, suffers from deteriorated urban mobility situation. This deterioration is mainly due to concentration of activities and densification. This paper is analyzing the existing condition in Zamalek in terms of urban mobility. This, also, includes the urban planning analysis in relation to the urban mobility. The current problems are very challenging, thus innovative concepts shall be implemented to ensure sustainable urban mobility in Zamalek. This paper recommends a set of action plans localized for the current condition in Zamalek and based on successful practices in other cities.

This paper presents concepts important for understanding the potential of sustainable low-income housing in Vietnam, with a focus on key environmental, socio-economic, and cultural dimensions that bear on its housing sector. It examines challenges for sustainable urban development in Hanoi and HCMC, Vietnam's two main cities. Recognising the current challenges in balancing affordability and sustainability, the study explores Vietnam's lack of adequate and affordable housing and the problem of its urban slums. Synergistic strategies suitable for the Vietnamese context are then suggested for sustainable low-income housing in these two cities.

This chapter aims to establish a positive vision for the technology-enhanced learning design field. It commences by summarizing the current state of technology-enhanced learning research, as established by the previous analysis, in order to clarify the foundations upon which the field can build. The future of learning technology is considered, in the first instance, by extrapolating trends in information and communication technologies throughout history. This process showcases how the most impactful technologies are those that bring information closer to us, support sharing, and offer more visceral learning experiences. The nature of learning technology trends occurring in recent Horizon Reports, for instance, gesture-based computing, augmented reality, Massive Open Online Courses, and table computing, are analyzed and explained in terms of Roger’s Diffusion of Innovation Theory and Gartner’s Hype Cycle. This leads to identifying teachers as the critical lynch pin in order for society to derive greatest educational benefit from the exponential advances in technology. Consequently, support for educators is argued as essential. Into the future the learning technology field will only optimize its progress if educators and researchers work together to understand design issues and possibilities. Directions forward for educators and researchers are proposed, emphasizing a research-driven, pedagogically focused, creative, and collaborative approach to technology-enhanced learning design.

Improvement of reverse supply chains requires accurate and timely information about the patterns of consumption. In the consumer context, the ways to generate and access such use-visibility data are in their infancy. The purpose of this study is to demonstrate how the Internet of Things (IoT) may be operationalised in the domestic setting to capture data on a consumer’s use of products and the implications for reverse supply chains.

This study uses an explorative case approach drawing on data from studies of six UK households. “Horizontal” data, which reveals patterns in consumers’ use processes, is generated by combining “vertical” data from multiple sources. Use processes in the homes are mapped using IDEF0 and illustrated with the data. The quantitative data are generated using wireless sensors in the home, and qualitative data are drawn from online calendars, social media, interviews and ethnography.

The study proposes four generic measurement categories for operationalising the concept of use-visibility: experience, consumption, interaction and depletion, which together address the use of different household resources. The explorative case demonstrates how these measures can be operationalised to achieve visibility of the context of use in the home. The potential of such use-visibility for reverse supply chains is discussed.

This explorative case study is based on an in-depth study of the bathroom which illustrates the application of use-visibility measures (UVMs) but provides a limited use context. Further research is needed from a wider set of homes and a wider set of use processes and contexts.

The case demonstrates the operationalisation of the combination of data from different sources and helps answer questions of “why?”, “how?”, “when?” and “how much?”, which can inform reverse supply chains. The four UVMs can be operationalised in a way that can contribute to supply chain visibility, providing accurate and timely information of consumption, optimising resource use and eliminating waste.

IDEF0 framework and case analysis is used to identify and validate four UVMs available through IoT data – that of experience, consumption, interaction and depletion. The UVMs characterise IoT data generated from a given process and inform the primary reverse flow in the future supply chain. They provide the basis for future data collection and development of theory around their effect on reverse supply chain efficiency.

The purpose of this paper is to present a visualisation of the firm's offering from a service‐dominant logic (S‐DLogic) perspective. The case of Rolls‐Royce is presented as an avenue through which to explore an alternative view of the firm's value proposition, a visualisation informed by S‐DLogic that could aid organisations in their transition from goods‐dominant logic (G‐DLogic) to S‐DLogic.

Through integration of an operations management approach in process mapping and design and simulation with choice modelling in business‐to‐business marketing, this paper operationalises some of the key aspects of S‐DLogic, most notably focusing on the constructs of value and resources. This is explored through a single case; Rolls‐Royce which provides access to a rich source of internal and customer data.

The study finds that the S‐DLogic visualisation of the firm's value proposition in equipment‐based service consists of its contribution to 11 value‐creating activities towards value‐in‐use. The visualisation depicts both the highest possible bundle of benefits for the customer along with the resources and their costs associated with delivering those bundles. When brought together these enable the identification of the optimal bundle of value‐creating activities from both customer and firms' perspective.

This paper provides empirical evidence of the difference between a G‐DLogic and S‐DLogic view of the firm's value proposition. In doing so, extending existing literature on S‐DLogic by contributing to a methodological and empirical gap. Notably, it makes abstract concepts of S‐DLogic concrete, providing a pathway for future empirical work and begins the process of systematising a methodology in S‐DLogic.

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

In the last two decades there has been considerable progress made in the development of alternative estimation techniques to ordinary least squares (OLS) regression. The search for alternative estimators has no doubt been motivated by the observance of erratic OLS estimator behavior in cases where there are too few observations, multicollinearity problems, or simply “information‐poor” data sets. Imprecise and unreliable OLS coefficient estimates have been the result.