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Modern engines place increasing demands on crankshaft systems, and thus bearings are required to have properties which conflict with the simultaneous need for strength and compliance under all operational conditions. Lists property requirements to describe bearing behaviour. Covers strengthening mechanisms for aluminium alloys, conformability tests, compatibility, metallurgical consequences.

The purpose of this study is to propose a systematic method for the diffusion of forecasting technology in the pre‐launch stage.

The authors designed survey question items that are familiar to interviewees as well as algebraically transformable into the parameters of a logistic diffusion model. In addition, they developed a procedure that reduces inconsistency in interviewee responses, removes outliers, and verifies conformability, in order to reduce the error and yield robust estimation results.

The results show that the authors' method performed better in the empirical cases of digital media broadcasting and internet protocol television in terms of sum of squared error compared with an existing survey‐based method, a regression method, and the guessing‐by‐analogy method. Specifically, the authors' method can reduce the error by using the conformability and outlier tests, while the consistency factor contributes to determining the final estimate with personal estimates.

The procedure proposed in this study is confined to the presented logistic model. Future research should aim to extend its application to other representative diffusion models such as the Bass model and the Gompertz model.

The authors' method provides a better quality of forecasting for innovative new products and services compared with the guessing‐by‐analogy method, and it contributes to managerial decisions such as those in production planning.

The authors introduce the concepts of conformability and consistency in order to reduce the error from personal biases and mistakes. Based on these concepts, they develop a procedure to yield robust estimation results with less error.

Although conformable devices are commonly designed to couple with the human body for personalized and localized medicine, their applications are expanding rapidly. This paper aims to delineate this expansion and predict greater implications in diverse fields.

Today’s device technologies continue to face fundamental obstacles preventing their seamless integration with target objects to effectively access, evaluate and alter self-specific physical patterns, while still providing physical comfort and enabling continuous data collection. Due to their extreme mechanical compliance, conformable devices permit the query of signals occurring at interfaces so as to decode and encode biological, chemical and mechanical patterns with high resolution, precision and accuracy. These unique and versatile capabilities allow for a marked change in the approach to tackling scientific questions, with the ability to address societal challenges at large.

Here, this study highlights the current state of these devices in a wide range of fields, such as interactive teaching, textiles, robotics, buildings and infrastructure, agriculture, climate and space, and further forecasts essential features of these devices in the near future.

This study justifies conformable devices’ growing utility through a novel quantitative analysis methodology that indexes peer-reviewed journal articles based on specific keywords, whereby this study tracks keyword frequency over time across specific fields in conjunction with conformability-like topics. The resulting trends’ trajectories provide the foundation for this study’s future projections. This study concludes with a perspective on the possible challenges concomitant with a ubiquitous presence of these technologies, including manufacturing, wireless communication, storage, compression, privacy and sharing of data, environmental sustainability, avoidance of inequality and bias and collaboration between stakeholders at all levels of impact.

There has been a growing call regarding broad criteria for assessing qualitative methods' reliability and validity in international marketing (IM) research. In response, this study synthesizes the past literature to present an overarching, yet adaptable, trustworthiness verification framework for assessing the rigor of various qualitative methods used in IM.

The paper draws on qualitative research from various disciplines. It uses content analysis to examine how trustworthiness is conceptualized in qualitative studies in International Marketing Review (IMR) from 2005 to 2019.

The analysis reveals that strategies to ensure rigor and trustworthiness of qualitative research in IMR are partially applied. There remain gaps in implementing quality criteria across the trustworthiness dimensions of credibility, transferability, dependability, conformability and ethics.

This paper highlights the importance of incorporating strategies for assessing the quality of qualitative research in IM research. Since the analysis only focused on IMR, future research should explore and test the framework in other IM and business journals to reach a broader consensus in assessing qualitative studies' rigor.

IM researchers have yet to develop a consensus regarding broad criteria for assessing qualitative methods' reliability and validity. This paper is an attempt to fill this gap.

Argues that the costs and problems of quality are largely predetermined in product development and, therefore, there are limits to what can be achieved thereafter by the application of best‐practice manufacture and quality control. Presents knowledge‐based design‐for‐quality methods which enable a business to identify product characteristics which represent potential failures and their associated costs. Discusses application modes and includes a product case study.

The purpose of the study is to investigate the stressors faced by migrant entrepreneur-managers of small and medium-sized enterprises (SMEs) during the COVID-19 pandemic, as well as their resilience strategies for reviving their businesses.

This study employs a qualitative research design based on grounded theory. Semi-structured interview questionnaire was used for one-to-one interviews with 20 migrant entrepreneur-managers, representing ten different business sectors during the peak of the COVID-19 pandemic of 2020 and 2021. Interviews were transcribed, coded into open code, axial code and selective code to identify the major themes, and analysis was done into three levels to explore the stressors and initial strategies implemented to cope with the crisis. Trustworthiness of the findings was ensured by credibility, transferability, dependability and conformability, and reflexivity.

This study explored three types of stressors: finance-related stressors, supplies-related stressors and human resources-related stressors in migrant SME entrepreneur-managers during the COVID-19 pandemic. The study revealed the use of comprehensive supply chain strategies followed by migrant SME entrepreneur-managers to be resilient enough to cope with a crisis situation like the COVID-19 pandemic.

This study covers an under-researched area of research related to stressors and resilience strategies in migrant SME entrepreneur-managers during the pandemic situation. A large body of prior research contributes to employees' stress and coping behaviors, while this paper focuses on stressors in migrant entrepreneur-managers in the special context of pandemics and their strategies to be resilient during a crisis situation. Thus, the findings of this study contribute to SME entrepreneur-managers, policy makers and academicians so that a large number of migrant entrepreneurs can develop resilient strategies for crisis situations. Furthermore, this study contributes to the supply chain resilience literature and resource dependency theory.

The problem of achieving desired levels of quality in products purchased from suppliers is one which faces all companies who make use of purchased inputs. The authors of this article discuss the problems of procurement quality assurance and present examples of five successful procurement quality assurance schemes. From these successful schemes the authors extract and present an approach to achieve procurement quality which is based on surveys of supplier characteristics.

This paper aims to exploit shape memory polymer (SMP) composite as multifunctional coatings for protecting substrates from surface wear and bacterial. The efficiency of added nano or micro-sized particles in enhancing the properties of SMP was investigated. This study also attempts to use a low-cost and effective spraying approach to fabricate the coatings. The coatings are expected to have good conformability with the substrate and deliver multi-functional performance, such as wrinkle free, wear resistance, thermal stability and antimicrobial property.

High-performance SMP composite coatings or thin films were fabricated by a home-made continuous spray-deposition system. The morphologies of the coatings were studied using the scanning electron microscope and the transmission electron microscope. The abrasion properties were evaluated by Taber Abraser test, and thermo-gravimetric analysis was carried out to investigate the thermal properties of prepared composites. The antimicrobial property was determined by the inhibition zone method using E. coli. The thermally responsive shape memory effect of the resulting composites was also characterized.

The morphology analysis indicated that the nanoclay was distributed on the surface of the coating which resulted in a significant improvement of the wear property. The wear resistance of the coatings with nanoclay was improved as much as 40 per cent compared with that of the control sample. The thermo-gravimetric analysis revealed that the weight loss rate of composites with nanoclay was dropped over 40 per cent. The SMP coating with zinc oxide (ZnO) showed excellent antimicrobial effect. The shape recovery effect of SMP/nanoclay and SMP/ZnO composites can be triggered by external heating and the composites can reach a full shape recovery within 60 s.

This study proposed a continuous spray-deposition fabrication of SMP composite coatings, which provides a new avenue to prepare novel multi-functional coatings with low cost.

Most studies have emphasized on the sole property of SMP composites. Herein, a novel SMP composite coating which could deliver multi-functionality such as wrinkle free, wear resistance, thermal stability and antimicrobial property was proposed.

With 60 years experience in developing wrapping tapes for the protection of pipelines, Winn & Coales (Denso) can offer an extensive range of materials, plus auxiliaries such as special wrapping machines.

This paper aims to review the shape sensing techniques using large area flexible electronics (LAFE). Shape perception of humanoid robots using tactile data is mainly focused.

Research papers on different shape sensing methodologies of objects with large area, published in the past 15 years, are reviewed with emphasis on contact-based shape sensors. Fiber optics based shape sensing methodology is discussed for comparison purpose.

LAFE-based shape sensors of humanoid robots incorporating advanced computational data handling techniques such as neural networks and machine learning (ML) algorithms are observed to give results with best resolution in 3D shape reconstruction.

The literature review is limited to shape sensing application either two- or three-dimensional (3D) LAFE. Optical shape sensing is briefly discussed which is widely used for small area. Optical scanners provide the best 3D shape reconstruction in the noncontact-based shape sensing; here this paper focuses only on contact-based shape sensing.

Contact-based shape sensing using polymer nanocomposites is a very economical solution as compared to optical 3D scanners. Although optical 3D scanners can provide a high resolution and fast scan of the 3D shape of the object, they require line of sight and complex image reconstruction algorithms. Using LAFE larger objects can be scanned with ML and basic electronic circuitory, which reduces the price hugely.

LAFE can be used as a wearable sensor to monitor critical biological parameters. They can be used to detect shape of large body parts and aid in designing prosthetic devices. Tactile sensing in humanoid robots is accomplished by electronic skin of the robot which is a prime example of human–machine interface at workplace.

This paper reviews a unique feature of LAFE in shape sensing of large area objects. It provides insights from mechanical, electrical, hardware and software perspective in the sensor design. The most suitable approach for large object shape sensing using LAFE is also suggested.