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To study the learning processes and mechanisms involved in sustainability-oriented supplier development (SSD), including how knowledge is transmitted by the buyer and how it is received, understood and internalised by the supplier.

An exploratory longitudinal multi-case study approach is adopted. The research context is a social SSD project focusing on occupational health and safety (OHS) management at four supplier factories. The paper draws on the constructs of absorptive capacity and boundary objects.

The development of a supplier's absorptive capacity for OHS management is triggered by the transfer of boundary objects that are created by the buyer. Findings suggest that each supplier starts explorative learning in a similar and passive way in order to accept the knowledge, but then each supplier proactively transforms and exploits the knowledge through continuous sensing, seizing, and reconfiguring loops that develop the boundary objects in a way that fits their own needs and contexts, incorporating the objects into organisational structures and routines.

The research furthers the understanding of the development of supplier absorptive capacity for sustainability via SSD projects, including how it is triggered and sustained. The impact of ostensive and performative aspects of boundary objects on knowledge transfer is presented. Finally, insight is provided into how absorptive capacity and dynamic capabilities are linked in the context of SSD.

Buying firms should seek to develop boundary objects that can trigger and maintain learning momentum for sustainability at supplier organisations in addition to effectively transferring SSD-related sustainability knowledge. There is also a need to allow for sufficient flexibility in the design of the boundary objects, and to pay sufficient attention to how suppliers contextualise and embed them into their own organisations, providing support for this process where necessary. For the supplier, establishing structures and routines for OHS management can help to prepare for future audits, thereby reducing audit fatigue.

The paper contributes to the supply chain learning literature by exploring the development of supplier absorptive capacity for sustainability triggered by the focal buying firm. It sheds new light on the role of boundary objects for facilitating knowledge transfer and learning between supply chain members in the context of SSD projects.

The purpose of this paper is to study dynamic evolution of passenger emotional contagion among different flights emerging in mass flight delays, so as to quantitatively analyze emotional variation tendencies and influences of concerned factors and intervention measures.

An intervening variable of group emotion was introduced into emotional contagion model to simulate passenger emotional evolution among multi-flight groups. Besides, personalities, characters and social relationships were considered to represent individual differences in emotional changes. Based on personal contact relationships, emotional contagion model was proposed to evaluate cross-emotion transition processes among different groups under scenarios of information shortage. Eventually, evolutionary processes of passenger emotions were fused in an agent-based simulation based on social force correction model.

Simulation experiment results revealed that passenger emotions suffer from combined impacts of individual emotional changes and emotional interactions among adjacent flights through a comparison with actual survey. Besides, emotional interactions accelerate processes of emotion transitions, and have significant impacts on adjacent flights when different measures are taken. Moreover, taking intervention measures simultaneously seems more effective than implementing intervention successively.

The proposed method makes up for deficiency of ignoring effects of emotional interactions among adjacent flights. It contributes to providing control methods and strategies for relevant departments and improving the efficiency and ability of handling passenger collective events in mass flight delays.

This study aims to study how first-tier suppliers (FTs) operate as boundary-spanners between the focal firm and second-tier suppliers (STs) in extending sustainability-oriented supplier development (SSD) initiatives up the supply chain.

An exploratory multi-case study approach in the apparel industry is adopted, comprised of four cases focused on occupational health and safety issues. The paper uses primary semi-structured interviews and observation data and secondary documents, and it is informed by the boundary-spanning and social capital theory.

The influence of downstream social capital on the upstream boundary-spanning actions of FTs is highlighted. More specifically, it is found that the cognitive and relational capital that exists in the downstream relationship between an FT and the focal firm affects whether the FT adopts compliance- or improvement-oriented boundary-spanning actions in their upstream relationships with STs. Particularly important aspects of cognitive and relational capital are highlighted while the phenomenon of FTs adding their own personal interpretation to sustainability requirements when fulfilling their boundary-spanning role is identified.

A distinction is made between compliance- and improvement-oriented boundary-spanning actions. A deeper insight into the boundary-spanning role of FTs in extending SSD initiatives up the supply chain to STs is provided along with a deeper understanding of how this role is impacted by social capital.

Focal firms should seek to build adequate cognitive and relational capital with their FTs before deploying SSD initiatives to extend their reach further upstream in the supply chain. In doing so, it is also important to be cognisant of the social capital that exists between FTs and STs.

The paper contributes to the SSD literature by going beyond the buyer–FT dyad to examine the FT's boundary-spanning role in the wider buyer–FT–ST chain relationship. The study theoretically and empirically draws out the importance of relation-specific assets through the social capital lens.

The purpose of this study is to define and investigate the governance requirements of supply chain finance (SCF).

A qualitative analysis of 849 news articles published in UK newspapers (2000–2022) using the Gioia method.

SCF governance relies on developing capacities for reflexive scrutiny at two stages: (1) prior to entering into an SCF relationship and (2) during its operation. Based on the notion of SCF as a complex adaptive system, we theorise SCF governance requirements as a dual-layered semipermeable boundary. The semipermeability of the two layers allows for a dynamic exchange between the SCF system and its environment. The first layer is the capacity to selectively enable or control the entry and access of certain actors and practices into the SCF system. The second layer is a capacity for ongoing scrutiny of the SCF operation and its development. Further, we identify five aspects of governance to be enabled, i.e. enhancing adaptability, building confidence, improving efficiency, advancing technology and promoting transparency; and four aspects to be controlled, i.e. preventing abuse of power, curbing fraud risk, constraining operational risk and restricting risky extensions to SCF practices.

Our dynamic framework can guide supply chain (SC) members in making decisions about whether to participate, or continue to operate, in an SCF relationship. Moreover, the findings have implications for policymakers and authorities who oversee entry/access and the involvement of SCF providers, particularly, fintech firms.

The study contributes to both the SC and governance literature by providing a systematic analysis of what SCF governance has to accomplish. Our novel contribution lies in its analysis of SCF governance based on a complex adaptive system approach, which expands the existing literature where SCF is described in rather static terms. More specifically, it suggests a need for a dynamic duality of SCF governance through the semipermeable boundary that selectively enables and controls certain SCF actors and practices.

The purpose of this paper is to develop a trading and pricing method of expansion option (EO) model to solve expansion problems of build-operate-transfer (BOT) freeway project.

This paper proposes an ex ante mechanism through trading the EO to avoid the transaction costs. By editing the paths generated from binomial option pricing model, this paper establishes an American real option binomial lattice model and evaluates the value of EO. Data are collected from Liaoning province in China and the model is practiced in the context of a BOT freeway in Liaoning province.

Supported by empirical evidence, this study finds out that there exists a minimum price at which the government can sell the EO and a maximum price that the private sector is willing to pay. When the minimum price is negative, the government should transfer the EO to the private sector free of charge to avoid the transaction costs. Otherwise, the government should sell the EO at a reasonable price to protect public interests.

The study can be used for the government to reducing the transaction costs. By using the trading EO model, the government can sell its share of the EO to the private sector to manage its resources efficiently.

This paper builds a trading EO model to solve expansion problems instead of renegotiations. In addition to reducing the transaction costs for the whole society, trading EO can also raise the respective payoffs of both public and private sectors. An EO trading framework and algorithm is further developed. It realized an American option model, making the owner can exercise the option whenever he wants. Thus, the whole model is adapted to best fit BOT highway practice.

The use of pay for performance (P4P) as an instrument to incentivise quality improvements in health care is at a crossroads in high-income countries but has remained a commonly used tool in low- and middle-income countries. The authors aimed to take stock of the evidence on effectiveness and design from across income settings to reveal insights for the future design of performance payment across income contexts.

The authors identified Cochrane literature reviews of the use of P4P in health care in any income setting, tracked the development in the quantity and quality of evidence over time, and compared the incentive design features used across high-income countries compared to low- and middle-income countries.

The quantity and quality of the evidence base have grown over time but can still be improved. Scheme design varies across income settings, and although some design choices may reflect differences in context, the authors find that incentive designers in both income settings can learn from practices used in the other setting.

The research and literature on P4P in high-, low- and middle-income countries largely operate in silos. By taking stock of the evidence on P4P from across income settings, the authors are able to draw out key insights between these settings, which remain underexplored in the literature.

The purpose is to present a sensorless control method by which high‐resolution rotor position information is estimated and used for phase‐advancing operation of a high‐speed permanent magnet (PM) brushless DC (BLDC) motor.

The proposed sensorless control approach uses hardware to observe the flux vector which is excited by rotor magnets. It can provide the rotor position which is the same as the phase angle of the observed flux vector.

High‐resolution rotor position signal of the BLDC motor for dynamic phase‐advancing control cannot be directly obtained from the conventional Hall‐effect sensors, or via the traditional back‐EMF‐based sensorless control strategies in which the back‐EMF may be even undetectable at high‐speed. The proposed rotor‐flux‐observer (RFO)‐based sensorless control method overcomes these problems, and meanwhile provides high‐resolution rotor position information for the phase‐advancing purpose.

The RFO‐based sensorless control is traditionally applied to PM brushless ac (BLAC) operations, where the motor voltage vector can be calculated from the inverter switching status. However, this is not readily applicable to a BLDC motor since the voltage of the floating phase cannot be calculated. Moreover, during high‐speed operation, the microprocessor may not be sufficiently fast to calculate the high‐resolution rotor position. Therefore, in this paper, it is proposed to use hardware to observe the rotor‐flux‐vector. The microprocessor only samples the vector's α‐ and β‐components and calculates the phase angle, hence, its burden is low. The proposed method is validated with a 1.8 kW 85,000 rpm BLDC motor system.

The purpose of this paper is to generate line plan in emergencies for railway networks to complete the passenger transportation.

The authors first build a mathematical model, focusing on the frequency setting and stops setting. Then, considering the OD passenger flow data, the authors first propose the method to solve the train frequency setting problem of different types. Genetic algorithm is designed to solve the stops setting problem. The approach is tested with the data from Beijing-Shanghai high-speed railway and its neighbour existing railway.

The authors find that the model is suitable to generate line plan in emergencies for railway networks and the algorithm has good calculating performance.

The new algorithms to generate line plan proposed in this paper can be embedded in the decision support system for railway operators.

The purpose of this paper is to investigate the effect of the interlocking process on the iron loss in the lamination core and to increase the efficiency of electrical machines.

A 3D electromagnetic model of the interlocking dowels is proposed in order to simulate the eddy current distribution in the lamination core. Considering the time-consuming of the 3D finite element method (FEM), a 2D electromagnetic model is then proposed based on the 3D model. Influence of the interlocking process on the motor performances is analyzed with 2D FEM, considering the electrical connection of the dowels and the magnetic property deterioration of the electrical steel sheets.

The interlocking process removes the insulation between the laminations at the cut-edges of the interlocking dowels, causing extra eddy current loss in the lamination core. The effect of the interlocking process is dependent on the number, location and size of the interlocking dowels.

The interlocking dowel model is established in order to simulate the effects of the interlocking process. By using the FEM calculation, optimal solution is discussed to minimize the undesired effect of the interlocking dowels.

In this paper, the FEM model of the induction motor with interlocked stator core is first established, then simulation analysis is implemented. Results shows that choosing a proper number of interlocking dowels with suitable location and size can reduce the extra loss.

The purpose of this paper is to comparatively study a synchronous reluctance machine (SynRM) and a permanent magnet assisted synchronous reluctance machine (PMASynRM) as alternatives of the interior permanent magnet synchronous machine (IPMSM), and to investigate the performance and conclude both advantages and disadvantages.

A unified mathematical model is established for the IPMSM, SynRM and PMASynRM. Then finite element method (FEM) is used to compare the electromagnetic performance. Permeability-frozen method is utilized to distinguish basic electromagnetic torque and reluctance torque.

The PMASynRM can improve the power factor of the SynRM, overcome the drawback of the IPMSM in the high-speed flux-weakening region and is more proper to operate over a wide speed region. The SynRM is mechanically robust for lacking of the permanent magnets, and the PMASynRM can keep similar rotor stress as the SynRM by optimizing the magnets. Assembly of the SynRM is the simplest, and the economic performance of the SynRM and PMASynRM could be much better than the IPMSM which even uses ferrite magnets.

The SynRM can produce identical torque and efficiency compared with the IPMSM except the poor power factor. The poor power factor could be improved by adopting the PMASynRM, which is proved to be able to act as an alternative of the IPMSM for low-cost high-performance application.

This paper provides the theoretical model of the IPMSM, SynRM and PMASynRM in a unified format. The electromagnetic, mechanical and economic performances of the three kinds of synchronous motors are compared comprehensively. Then, both the advantages and disadvantages are summarized.