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The determination of the measurement uncertainty is relevant for all measurement processes. In production engineering, the measurement uncertainty needs to be known to avoid erroneous decisions. However, its determination is associated to high effort due to the expertise and expenditure that is needed for modelling measurement processes. Once a measurement model is developed, it cannot necessarily be used for any other measurement process. In order to make an existing model useable for other measurement processes and thus to reduce the effort for the determination of the measurement uncertainty, a procedure for the migration of measurement models has to be developed.

This paper presents an approach to migrate measurement models from an old process to a new “similar” process. In this approach, the authors first define “similarity” of two processes mathematically and then use it to give a first estimate of the measurement uncertainty of the similar measurement process and develop different learning strategies. A trained machine-learning model is then migrated to a similar measurement process without having to perform an equal size of experiments.Similarity assessment and model migration

The authors’ findings show that the proposed similarity assessment and model migration strategy can be used for reducing the effort for measurement uncertainty determination. They show that their method can be applied to a real pair of similar measurement processes, i.e. two computed tomography scans. It can be shown that, when applying the proposed method, a valid estimation of uncertainty and valid model even when using less data, i.e. less effort, can be built.

The proposed strategy can be applied to any two measurement processes showing a particular “similarity” and thus reduces the effort in estimating measurement uncertainties and finding valid measurement models.

Forecasting population movement trends is crucial for implementing effective policies to regulate labor force growth and understand demographic changes. Combining migration theory expertise and neural network technology can bring a fresh perspective to international migration forecasting research.

This study proposes a conditional generative adversarial neural network model incorporating the migration knowledge – conditional generative adversarial network (MK-CGAN). By using the migration knowledge to design the parameters, MK-CGAN can effectively address the limited data problem, thereby enhancing the accuracy of migration forecasts.

The model was tested by forecasting migration flows between different countries and had good generalizability and validity. The results are robust as the proposed solutions can achieve lesser mean absolute error, mean squared error, root mean square error, mean absolute percentage error and R² values, reaching 0.9855 compared to long short-term memory (LSTM), gated recurrent unit, generative adversarial network (GAN) and the traditional gravity model.

This study is significant because it demonstrates a highly effective technique for predicting international migration using conditional GANs. By incorporating migration knowledge into our models, we can achieve prediction accuracy, gaining valuable insights into the differences between various model characteristics. We used SHapley Additive exPlanations to enhance our understanding of these differences and provide clear and concise explanations for our model predictions. The results demonstrated the theoretical significance and practical value of the MK-CGAN model in predicting international migration.

Recently, interest and necessity for cloud-based hospital information systems (HISs) have emerged as an appropriate alternative for revitalizing medical information exchange between hospitals, analyzing “big data” medical information and developing the use of new medical technologies. The purpose of this paper is to investigate factors that affect the switching of information systems in existing on-premise environments into cloud-based HISs.

A research model was developed using the push–pull–mooring model based on migration theory. The research model was analyzed using confirmatory factor analysis and path analysis using partial least squares structural equation modeling.

The results of this study showed that low compatibility, perceived value, low cost and inertia influenced the intention to switch to cloud-based HISs; low flexibility and low compatibility influenced dissatisfaction; and low cost, ease of maintenance and ease of managing indicators influenced perceived value.

This study is expected to be used as the basis for developing a research model in subsequent studies to analyze the transition to new innovative technologies. Also, in practice, it is expected to contribute to the activation of cloud computing environments in hospitals.

This article explores the migration intentions (MIs) embedded in population movements from rural to urban areas in Bangladesh. In this country, urban-centric development policies have made cities epicentres of commerce and industrialisation, offering significant employment and livelihood opportunities. This rapid transformation has generated several socio-psychological factors that are influencing the willingness of rural populations to migrate to cities for better jobs, lifestyles and services.

The present study adopted the theory of planned behaviour (TPB) as a conceptual model to assess the behavioural and psychological factors underlying MIs.

The results of the structural equation modelling (SEM) indicate that MIs are mainly influenced by subjective norms (SN) and, to a lesser extent, attitudes towards migration (ATM) and perceived behavioural control (PBC).

The analysis drew on an original dataset built through interviews with migrants from rural areas employed in the ready-made garment (RMG) industry in four selective areas of the Metropolitan City of Chittagong.

Retailers have recently leveraged store-loyal customers’ store attachment to maintain customer relationships and motivate patronage intentions. However, the COVID-19 outbreak has driven customer migration from offline to mobile channels. Mobile retail applications (APPs) have been used by numerous retailers to reach their customers. Nonetheless, it has yet to be determined (1) whether store attachment can facilitate (or impede) the adoption of mobile retail APPs and (2) whether store-loyal customers will continue visiting offline stores in the post-pandemic era. To address these questions, we propose a theoretical account using integrated theories on trust transfer and store attachment.

We conducted multi-stage, longitudinal field surveys in two cities of mainland China: Beijing and Guangzhou. From two rounds of data collection, 237 and 103 responses were obtained in March 2022. Hypotheses were tested by partial least squares – structural equation modelling (PLS–SEM).

Results showed that customer trust in an offline retailer can be transferred to the retailer’s mobile APP at the pre-adoption stage, facilitating APP adoption. Notably, store-loyal customers who exhibited a strong attachment to the physical store of a retailer were more inclined to transfer their trust to the mobile APP of the retailer. This occurrence leads to an increased adoption rate, enhanced post-adoption satisfaction and increased inclination to continue (rather than discontinue) usage.

This study is the first to investigate the changes in store-loyal customers' shopping behaviour in the mobile retail era and in the post-COVID-19 pandemic recovery. Our findings elucidate the role of physical store attachment in the trust-transfer mechanism. Furthermore, store attachment may not prevent customers’ channel migration behaviour. Retailers may have to re-consider how to manage channel cannibalisation issues in the post-pandemic recovery.

Using features of social media, peer-to-peer (P2P) mobile payment enables users to foster social interaction every time transactions are made. Given the increasing popularity of social features in P2P mobile payment applications, it is worth understanding how these components contribute to users’ switching behavior between conventional mobile payment and P2P mobile payment services. By treating sociability of P2P mobile payment as a pull factor, this study aims to extend the push–pull–mooring framework in the context of P2P mobile payment.

A questionnaire survey was conducted to obtain data. Respondents from the USA were exclusively selected due to the emerging number of P2P mobile payment users and the volume of transactions in this country. Based on a sample of 232 Amazon Mechanical Turk mobile payment users, the authors tested the hypotheses using the partial least squares structural equation model technique with SmartPLS software version 3.

The finding reveals that sociability is triggered by social presence, social benefit and social support within the P2P mobile payment platform. Moreover, dissatisfaction with perceived enjoyment of conventional mobile payment (push factor), customer innovativeness (mooring factor) and sociability of P2P mobile payment (pull factor) jointly influence users’ intention to switch to P2P mobile payment services, and subsequently drive their migration behavior.

Unlike past research that mainly focuses on utilitarian-related factors, to the best of the authors’ knowledge, this study is among the first to thoroughly examine the sociability features of P2P mobile payment service as a form of a social-centric system.

This paper aims to analyse the factors influencing migration, the labour migration process and the status of migrant laborers in the informal sector, particularly those working in brick kiln factories. It will shed light on the precarious nature of their work, often characterized by informal and verbal contracts. The paper examines occupational and environmental health hazards affecting the labourers and their impact on their well-being, the vulnerability of women in the precarious work environment and the associated health risks in brick kiln factories in India.

The study relies primarily on primary data collection, supplemented by secondary literature and documents. Balangir district was chosen as the research region due to its historical deprivation, underdevelopment and the historical prevalence of environmental distress, leading to distress-driven migration. To gather primary data, 40 respondents were selected from five selected blocks in Balangir district, resulting in a total of 200 respondents. In addition, in-depth interviews were conducted with 35 individuals across the selected blocks, with approximately seven participants from each block. In addition, interviews of 10 kids were taken and around 10 key informants including the trade union leaders, intellectuals and civil society activists.

Migrant labourers, including men, women and children, face significant health issues and are exposed to similar occupational health hazards. Internal migrant women workers are more vulnerable as they face critical health risks during pregnancy in host areas due to unfavourable working conditions and limited access to health-care services. Factors such as strenuous work, long working hours, poor nutrition and inadequate maternal care contribute to adverse outcomes such as spontaneous abortion, premature delivery and abnormal postnatal development.

The brick kiln industry presents a distressing reality for men who are highly vulnerable to occupational accidents, and women workers are exposed to sexual abuse, exploitation and violence. The prevalence of physical harassment, ranging from leering to rape, is alarmingly high among women. These incidents not only inflict physical harm but also cause severe psychological trauma and increase the risk of sexually transmitted diseases. Despite the existence of laws aimed at protecting women’s rights and addressing sexual offences, the workers often remain unaware of their rights. This lack of awareness further compounds the vulnerability of women workers and perpetuates their exploitation in the workplace.

To address health issues comprehensively, interventions should encompass the entire migrant population, including men and children. Strategies should focus on improving access to health-care services, promoting occupational health and safety measures, ensuring proper immunization and nutrition for children and addressing the broader social determinants of health. Empowering women with knowledge about reproductive health and rights, raising awareness about available health-care services and strengthening health-care providers’ capacity to cater to migrant populations are crucial steps towards addressing health disparities.

Urgent interventions and policies are needed to address the health vulnerabilities of internal migrant workers and women workers. It is required to ensure health-care accessibility, improving working conditions, ensuring access to maternal care and essential supplements and providing health-care services for both pregnant women and their children, regardless of migration status.

The study focused on precarious health and occupational hazards and accidents faced by migrant workers. It highlights women migrant labourer’s and children’s vulnerability in the Brick Klin sector, which is a value addition to the existing knowledge in social science.

Compared to younger and older generation migrants, middle-aged migrants in the diaspora seem to be more conflicted regarding their belonging. This paper aims to explore how middle-aged migrants in the diaspora define themselves in space and time.

The paper is based on ethnographic fieldwork done among Malawian migrants (herein referred to as Lydiatians) settled at Lydiate informal settlement in peri-urban Zimbabwe.

The paper reveals that, while younger migrants have a “radical transnational stance”, and older migrants regard their place of settlement as their final home, middle-aged migrants prefer to maintain a “strategic dual sense of place” regarding their place of settlement in the diaspora. These middle-aged migrants can be entrepreneurs considering their current settlement as a strategic place for petty commodity trading or those who find informal settlements to provide needed opportunities for cheap housing as the migrants pursue work in the nearby towns.

The paper offers a deeper understanding of how middle-aged migrants navigate their sense of place and contribute to host nations by functioning as key resources, dynamizing local economies through entrepreneurial activities and labour provision for various industries. The implications of this research should encourage states to positively interact with migrants, leveraging their potential for societal and economic development.

The finding that migrants in the diaspora have a dual, strategic view of their settlements is fascinating, if not new. Before this, scholars presented migrants as transnational figures, successively moving to a better place, which finally becomes home. However, the data presented in this paper suggests that this characterization associating migrants with maintaining a “stable, sedentary, bounded and fixed perception of home” is oversimplified. This is because migrants can sometimes continue to cherish the idea of informal settlements in the diaspora as home, just as the migrants also entertain the nearby established towns as useful places in their life.

The research aims to investigate the impact of thermo-mechanical aging on SBR under cyclic-loading. By conducting experimental analyses and developing a 3D finite element analysis (FEA) model, it seeks to understand chemical and physical changes during aging processes. This research provides insights into nonlinear mechanical behavior, stress softening and microstructural alterations in SBR compounds, improving material performance and guiding future strategies.

This study combines experimental analyses, including cyclic tensile loading, attenuated total reflection (ATR), spectroscopy and energy-dispersive X-ray spectroscopy (EDS) line scans, to investigate the effects of thermo-mechanical aging (TMA) on carbon-black (CB) reinforced styrene-butadiene rubber (SBR). It employs a 3D FEA model using the Abaqus/Implicit code to comprehend the nonlinear behavior and stress softening response, offering a holistic understanding of aging processes and mechanical behavior under cyclic-loading.

This study reveals significant insights into SBR behavior during thermo-mechanical aging. Findings include surface roughness variations, chemical alterations and microstructural changes. Notably, a partial recovery of stiffness was observed as a function of CB volume fraction. The developed 3D FEA model accurately depicts nonlinear behavior, stress softening and strain fields around CB particles in unstressed states, predicting hysteresis and energy dissipation in aged SBRs.

This research offers novel insights by comprehensively investigating the impact of thermo-mechanical aging on CB-reinforced-SBR. The fusion of experimental techniques with FEA simulations reveals time-dependent mechanical behavior and microstructural changes in SBR materials. The model serves as a valuable tool for predicting material responses under various conditions, advancing the design and engineering of SBR-based products across industries.

This study aims to understand why consumers continue to visit physical stores despite the rise in mobile shopping and online channels. Mobile shopping has changed how consumers shop, allowing them to easily switch between channels. However, physical stores continue to remain significant because some consumers still prefer them, challenging the belief that online markets always surpass offline markets. To serve their needs effectively, retailers must understand the motivations and behaviors of shoppers in both channels. Therefore, this study aims to explore why people cross the online channel to offline by examining their dissatisfaction with online shopping, using E-SERVQUAL variables.

This study uses a two-method approach that involves in-depth interviews to develop questions related to E-SERVQUAL variables and a survey to assess respondents’ likelihood of switching from online to offline. Data was collected from 203 participants.

The results indicate that dissatisfaction with the timeliness and condition of online shopping services is a significant factor driving consumers to switch to physical stores. This challenges the notion that online markets always surpass offline markets, emphasizing the continued significance of physical stores in the retail landscape.

This study recognizes the importance and relevance of physical stores in the retail environment while challenging the assumption that online markets always outperform brick-and-mortar markets. In terms of dissatisfaction and satisfaction, it is possible to identify under what circumstances dissatisfied consumers go from online to offline by considering the distribution channel migration phenomenon.