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Thermal stress of the rotor in a squirrel cage induction motor is generated due to the temperature rise, and the structure of the rotor will be destroyed if the stress acted on the rotor exceeds its limits, so the thermal stress is also one of the main causes led to broken bar fault. The purpose of this paper is to report the thermal stress coupled analysis for the induction motor with healthy and faulty rotor, and to find the variation tendency of the temperature and thermal stress due to broken bars, and the part most likely to break in the rotor as a result of the thermal stress load are identified.

The steady temperature and thermal stress of the rotor in the case of the healthy and faulty conditions are calculated by finite element method, and the 3D model of the motor used in the experiments is established and the experimental results are presented for both healthy and faulty machines.

The influence of the broken bars fault on the motor thermal profile and thermal stress can be found, and it explains why the breaking point always appears in the joint of the bars and end rings.

The paper presents the 3D thermal stress coupled model and performance characteristics of induction motor with broken bars. The reasonable constraint is established according to the contact of components each other, and more reasonable fracture location is selected. The results obtained by the simulation model are in a good agreement with practical situation, because the effect of skewed rotor were taken into consideration in the process of simulation.

The purpose of this paper is to determine how best to reduce, reuse and dispose of household waste medicines in the National Health Service (NHS) (UK).

Through a combination of literature review and empirical work, this research investigates the existing household waste medicines reverse logistics (RL) system and makes recommendations for improvement by benchmarking it against household waste batteries RL. The viability and feasibility of these recommendations are evaluated through in-depth interviews with healthcare professionals and end user surveys.

The batteries RL system appears to be a more structured and effective system with more active engagement from actors/stakeholders in instigating RL practices and for this very reason is an excellent comparator for waste medicines RL practices. Appropriate best practices are recommended to be incorporated into the waste medicines RL system, including recapturing product value, revised processing approaches, system cooperation and enforcement, drivers and motivations and system design and facilitation.

This study offers academics and professionals an improved insight into the current household waste medicines RL system and provides a step towards reducing an existing gap in this under-researched area. A limitation is that only a small sample of healthcare professionals were involved in subjectively evaluating the feasibility of the recommendations, so the applicability of the recommendations needs to be tested in a wider context and the cost effectiveness of implementing the recommendations needs to be analysed.

Reducing, reusing and properly disposing of waste medicines contribute to economic sustainability, environmental protection and personal and community safety. The information retrieved from analysing returned medicines can be used to inform prescribing practice so as to reduce unnecessary medicine waste and meet the medicine optimisation agenda.

This paper advocates learning from best practices in batteries RL to improve the waste medicines RL design and execution and supports the current NHS agenda on medicine waste reduction (DoH, 2012). The recommendations made in the paper not only aim to reduce medicine waste but also to use medicines effectively, placing the emphasis on improving health outcomes.

This research aims to design a green pharmaceutical supply chain (PSC) that reduces preventable pharmaceutical waste and effectively disposes of inevitable pharmaceutical waste. The main output of this study is the formulation of an integrated green PSC model involving all critical stakeholders, leading to improved environmental, economic and safety performance in medication management and delivery.

The research is based on literature and on secondary resources.

To green the PSC, every producer of waste is duty bound to facilitate the safe handling and disposal of waste. A cross boundary green PSC (XGPSC) approach is proposed to identify participants' contribution to the PSC. Peripheral influences are also recognised from professional and regulatory bodies.

This study focuses solely on community PSC in the UK where patients receive medication from local community pharmacies and thus may be limited. The proposed XGPSC approach also needs to be tested and validated in practice. It may also be difficult to transfer some of the environmental practices proposed in this research into practice.

The environmental practices and actions proposed provide invaluable insight into various PSC activities, including purchasing, product design, prescription patterns and processes, medication use review, and customer relationship management.

The proposed environmental actions encourage firm commitment from everyone to reduce, recycle or effectively dispose of pharmaceutical waste, with patients becoming stewards of medication rather than only consumers.

A cross boundary approach is developed to green the PSC, which encourages total involvement and collaboration from all participants in PSC.

In order to improve the effectiveness of product‐claim direct‐to‐consumer advertising (DTCA), the current research examines the effect of a presentational element – the number of treatable symptoms for the advertised medical condition featured in the ad – on consumers' intentions to seek treatment.

Ninety‐five participants recruited at a mall in the northeastern US provided data on behavioral and attitudinal intentions regarding a product‐claim print DTCA for an antidepressant.

Featuring a high (vs low) number of symptoms improved the effectiveness of the product‐claim DTCA. Seeing more symptoms led to heightened perceptions of informativeness, lower persuasive intent, and higher intentions to discuss the advertised ailment and the advertised drug with the doctor. Perceptions of disease prevalence mediated this influence. The perceived impact of each symptom featured in the DTCA was controlled across experimental conditions.

This research contributes to the healthcare marketing literature by demonstrating how managing a presentational element in DTCA influences consumers' metacognitive processing of the health information and consequently their intentions to engage in health‐related behaviors.

Within the regulatory boundaries, pharmaceutical marketers may wish to increase the number of treatable symptoms to feature in their product‐claim DTCA in order to improve the effectiveness.

Within the regulatory boundaries, pharmaceutical marketers may wish to increase the number of treatable symptoms to feature in their product‐claim DTCA in order to improve the effectiveness.

This research builds on the extant literature of examining consumer perceptions of DTCA, and suggests a practical and metacognitive means to improve consumer perceptions to ultimately enhance DTCA effectiveness.

This study aims to provide insights into the scale and use of information and communication technology (ICT) in managing medical devices in the National Health Service (NHS), with a focus on reverse exchange (RE) systems as a part of the broader reverse logistics (RL) systems, within which medical devices are returned and exchanged.

Two case studies were conducted with NHS Hospital Trusts, whilst another was built upon secondary resources. Primary findings were triangulated with the information collected from the NHS Trusts’ reports, direct observation and a preliminary round of consultations with 12 health-care professionals working in other NHS Trusts or Integrated Equipment Community Services.

The findings of this paper suggest that the sophistication of ICT implementation increases with the risks and value associated with medical devices. Operational attributes are derived from ICT implementations which can positively affect RE performance. The forces that drive the adoption of ICT in the NHS include pressure from government, business partners and patients; competitive pressure; perceived benefits; organisation size; top management support; and the availability of sufficient resources. Obstacles are mainly centred around the lack of sufficient resources.

Although the trusts that participated in this research are representative of different regions, the generalisation of the study results may be limited by the size of the sample organisations, so the results can only provide insights into the research problem. As this work is exploratory in nature, there is insufficient data on which to form definitive recommendations.

NHS Trusts may use the six operational attributes identified and verified by the case studies to benchmark their ICT implementation for device management. The actual and potential benefits of ICT implementation could inform technology development and encourage the uptake of ICT in healthcare. Governmental bodies can utilise this information to develop directives to actively drive ICT adoption in device management and the associated RE system. A well-considered training programme is needed to improve staff ICT skills to fully realise the potential of ICT systems which support the effective RE of medical devices.

The results of this paper suggest that the reverse management of medical devices backs up the supply chain attained through using ICT, which in turn reduces capital costs, medical risk and increases the finance available for frontline medical treatment.

The purpose of this paper is to better understand the effectiveness of direct‐to‐consumer advertising (DTCA) by examining consumer perceptions of persuasive intent and informativeness associated with product‐claim and help‐seeking advertisements, respectively.

In three behavioral experiments, a total of 413 participants provided data on their behavioral intentions and attitudes towards DTCA.

Consumers perceived help‐seeking DTCA as being highly informative without persuasive intent, whereas they perceived product‐claim DTCA as having high‐persuasive intent with little informativeness. Help‐seeking (versus product‐claim) DTCA was more effective in generating stronger behavioral intention to seek treatment for the ailments advertised (i.e. clinical depression and migraine). Consumer perceptions of persuasive intent and informativeness of DTCA were the underlying mediators for this result.

The paper helps to resolve conflicting findings in the previous DTCA research by proposing and presenting evidence which suggests that the perceived persuasive intent and informativeness of the advertised message are two underlying constructs that drive DTCA effectiveness. Considering these two constructs in future research may provide a deeper understanding of how and why DTCA effectiveness varies across different types of DTCA.

The results provide useful information for pharmaceutical companies seeking to maximize DTCA effectiveness in increasing behavioral intention to seek treatment for an advertised disease. Considering the key findings, pharmaceutical companies may decide whether and to what extent to employ product‐claim or help‐seeing DTCA.

The paper is one of the first to comparatively examine consumer perceptions of the two different types of DTCA (product‐claim versus help‐seeking) in terms of their influence on behavioral intent to seek treatment for the advertised medical conditions.

Implementing enterprise resource planning (ERP) is a challenging task for small- and medium-sized enterprises (SMEs). The purpose of this paper is to develop an integrated decision support system (DSS) for ERP implementation (DSS_ERP) to facilitate resource allocations and risk analysis.

Analytical regression models are developed using data collected through a survey conducted on 400 SMEs that have implemented ERP systems, and are validated by a simulation model. The validated analytical regression models are used to construct a nonlinear programming model that generates solutions for resource allocations, such as time and budget.

ERP implementation cost increases along the time horizon, while performance level increases up to a point and remains unchanged. To maximise or achieve a certain level of performance within a budget limitation, CSFs are prioritised as: project management (highest), top management, information technology, users and vendor support (lowest). SMEs are recommended to concentrate effort and resources on CSFs that have a greater impact on achieving their desired goals while optimising utilisation of resources.

DSS_ERP proves to be beneficial to SMEs in identifying required resources and allocating resources, but could be further tested in case studies for its practical use and benefits.

DSS_ERP serves as a useful tool for SMEs to predict required resources and allocate them prior to ERP implementation, which maximises the probability of achieving predetermined targets. It also enables SMEs to analyse risk caused by changes to resources during ERP implementation, and helps them to be better prepared for the risks.

The research contributes to the scarce research on ERP implementation using scientific methods. A novel nonlinear programming model is constructed for ERP implementation under time and budget limitations, facilitating resource allocations in an ERP implementation, which has not been reported in any previous research. The research offers a theoretical basis for empirical studies of resource allocations in ERP implementation.

The purpose of this paper is to determine the base position and the largest working area for mobile manipulators. The base position determines the workspace of the mobile manipulator, particularly when the operation mode is intermittent (i.e. the mobile platform stops when the manipulator conducts the task). When the base of the manipulator is in the intersection area of the Base’s Workable Location Spaces (BWLSes), the end effector (EE) can reach all path points. In this study, the intersection line of BWLSes is calculated numerically, and the largest working area is determined using the BWLS concept. The performance of this method is validated with simulations on specific surface segments, such as plane, cylinder and conical surface segments.

The BWLS is used to determine the largest working area and the base position in which the mobile manipulator can reach all path points with the objective of reducing off-line planning time.

Without considering the orientation of the EE, the base position and the working area for the mobile manipulator are determined using the BWLS. Compared to other methods, the proposed algorithm is beneficial when the planning problem has six dimensions, ensuring the reachability and stability of the EE.

The algorithm needs no manual configuration, and its performance is investigated for typical surfaces in practical applications.

This study aims to investigate the relationship between dynamic capabilities and sustainable business performance in Vietnamese small- and medium-sized enterprises (SMEs), focusing on the mediating role of digitalization strategies. Specifically, the authors seek to explore whether and how the three critical characteristics of dynamic capabilities (DCs) – sensing, seizing and transforming capabilities – are linked to business model innovation (BMI) or sustained performance and what dimensions contribute to their development and adoption in digitalization strategies.

The authors analyse a sample of 596 Vietnamese SMEs using a validated measurement framework to explore the three clusters of DCs activities and their contributions to digitalization strategies, BMI and sustainable business performance across economic, social and environmental dimensions.

The study highlights the pivotal role of sensing, seizing and transforming capabilities in the adoption of digitalization strategies, BMI, as well as in promoting sustainable business performance. Firstly, sensing capability profoundly influences product digitalization strategy, whereas seizing capability has the greatest impact on process digitalization strategy. Secondly, sensing and transforming capabilities significantly contribute to BMI. Thirdly, both process and product digitalization strategies exert a significant positive influence on sustainable business performance, especially the environmental dimension. Finally, the study exhibits the indirect impacts of seizing and sensing capabilities on sustainable business performance through product and process digitization strategies.

This study extends recent research by investigating the DCs underlying a firm’s digitalization strategies and contribute to ongoing calls for further investigation in the DCs literature. This research design, which draws from a validated measurement framework, responds to recent calls to broaden the toolkit used in DCs research. The practical implications of this study can benefit SMEs in Vietnam and beyond as they seek to enhance their digitalization strategies and achieve sustainable competitive advantage.