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During the past few years, social media has faced the challenge of maintaining its user base. Reports show that the social media giants such as Facebook and Twitter experienced a decline in their users. Taking WhatsApp's recent change of its terms of use as the case of this study and using the push-pull-mooring model and a configurational perspective, this study aims to identify pathways for switching intentions.

Data were collected from 624 WhatsApp users recruited from Amazon Mechanical Turk and analyzed using fuzzy set qualitative comparative analysis (fsQCA).

The findings identify seven configurations for high switching intentions and four configurations for low intentions to switch. Firm reputation and critical mass increase intention to switch, while low firm reputation and absence of attractive alternatives hinder switching.

This study extends extant literature on social media migration by identifying configurations that result in high and low switching intention among messaging applications.

The study identifies factors the technology service providers should consider to attract new users and retain existing users.

This study complements the extant literature on switching intention that explains the phenomenon based on a net-effect approach by offering an alternative view that focuses on the existence of multiple pathways to social media switching. It further advances the authors’ understanding of the relevant importance of switching factors.

Airline self-service technology (SST) has attracted attention from both the academic and aviation sectors. As the use of SST can reduce airlines’ operating costs, investigating SST usage at airports is particularly important for the aviation sector. The extant literature has explored users’ SST usage intention, but users’ switching intentions from traditional manual counter services to SST is still limited. Therefore, to address this issue, we used the push–pull–mooring (PPM) theoretical framework to develop a research model to explore user switching intention.

We utilized a mixed-methods approach. A qualitative approach (i.e., semistructured interviews) was first employed to recognize and choose the candidate factors. Then, we collected 450 valid responses through an online survey to test the model. The partial least squares method was used for data analysis.

We found that several push (perceived dissatisfaction and perceived inconvenience), pull (perceived ease of use, perceived usefulness and service process fit), and mooring (personal innovativeness and inertia) factors significantly influence switching intention. Additionally, mooring factors exert contextual effects on the relationships between push and switching intentions and between pull factors and switching intentions.

This study contributes to the literature by further increasing our understanding of user switching intentions regarding SSTs from the PPM perspective and offering guidance for the aviation sector to attract and retain customers.

Prompted by intense competition among providers of food delivery services, this study examines the behavior of customers using mobile applications. Specifically, based on a push-pull-mooring framework, this study aims to identify the key factors affecting customers’ switching intentions in the food delivery context. A push factor is assumed to drive customers away from an existing service provider due to dissatisfaction, while a pull element lures them to an alternative provider by supplying enhanced levels of enjoyment, usefulness and/or informativeness and mooring factors (i.e. affective commitment and perceived herd) help make these switching decisions.

Partial least squares structural equation modeling with SmartPLS was used because it is suited to predictive models and produces stringent assessments of measurement models using a variance-based approach. Data was collected through an online survey. Participants were 350 food delivery application (FDA) customers in the USA.

The results highlight the importance of a push factor (dissatisfaction with the present FDA) and a mooring factor (perceived herd) as determinants of customers’ perceptions of risk that can induce a decision to switch to another FDA. However, the pull factors of usefulness, enjoyment and information quality did not significantly influence switching behavior.

Many food delivery service providers now use mobile application technologies to provide their services. Such companies can use the factors that influence customer switching intentions identified in this study to control customers’ churn behavior by managing dissatisfied customers in the mobile context.

在外卖服务提供商之间激烈竞争的推动下, 本研究考察了使用移动应用程序的客户行为。具体来说, 基于推-拉-系泊框架, 本研究旨在确定影响客户在外卖环境中转换意图的关键因素。推力因素被认为是由于不满意而驱使客户离开现有服务提供商, 而拉力因素通过提供更高水平的享受、实用性和/或信息性来吸引他们到替代提供商, 系泊因素（即情感承诺和感知群体）则有助于做出这些转换决定。

使用SmartPLS进行偏最小二乘结构方程模型分析, 因为它适用于预测模型, 并使用基于方差的方法对测量模型进行严格评估。数据通过在线调查收集。参与者是来自美国的350名外卖应用程序（FDA）客户。

结果强调了推力因素（对当前FDA的不满）和系泊因素（感知群体）作为影响客户感知风险的决定因素, 可能导致客户决定切换到另一个FDA。然而, 实用性、享受和信息质量的拉力因素并未显著影响转换行为。

许多外卖服务提供商现在使用移动应用程序技术提供服务。此类公司可以利用本研究中确定的影响客户转换意图的因素, 通过管理在移动环境中的不满意客户来控制客户流失行为。

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.

The global landscape of higher education has witnessed a steady increase in the mobility of international students, as more individuals seek diverse academic experiences and cross-cultural learning opportunities. This paper conducts a systematic literature review to investigate trends, research directions and key themes in the literature. By utilising the push–pull factor model the aim is to provide a comprehensive understanding of the factors influencing international students' choices to pursue higher education and future career opportunities abroad.

A systematic literature review approach was applied. The selection was made using PRISMA framework-based inclusion and exclusion criteria. The review includes 43 publications from 2010 to 2022.

The review results revealed five themes of scholarly conversations labelled as (1) betterment of life, (2) policy of the host country, (3) role of institutions, (4) return to home country and (5) social, economic, environmental, individual and cultural factors. The findings emphasise on the significance of factors such as the quality of education, visa requirements, academic reputation, tuition fees, availability of scholarships, job opportunities, social, economic, environmental, individual and cultural factors. The paper also identifies language barriers, visa policies and social integration difficulties as major barriers to international students' stay in the host country after graduation.

This research enhances the current body of literature by conducting a comprehensive analysis of the empirical evidence available in literature that investigates the mobility of international students. The outcomes of this study will make a valuable contribution towards developing a more profound comprehension of the primary factors that influence international students' decision to pursue their education abroad.

Drawing upon a push-pull-mooring model and the literature on behavioral loyalty, this research aims to examine the underlying factors and mechanisms that influence switching intention in the context of professional sport in Japan.

Using a two-wave survey design (pregame and postgame surveys), we collected data from 367 fans of a professional soccer team in Japan. Our data included three push factors (quality, satisfaction, and perceived value of the current favorite team), a pull factor (alternative team attractiveness), a mooring factor (team identification), and behavioral loyalty and switching intention to the alternative team. We used structural equation modeling to test our hypotheses.

A mediation analysis revealed that perceived value of an individual’s current favorite team was negatively associated with behavioral loyalty to an alternative team, whereas attractiveness of the alternative team was positively associated with behavioral loyalty, which, in turn, resulted in fans’ switching intention. Latent moderated structural equation modeling further revealed the negative moderating effect of team identification with the current team on the relationship between behavioral loyalty and switching intention.

The findings provide new evidence about the role of behavioral loyalty in understanding sport consumers’ switching intention and highlight the importance of team identification that can foster a sustainable and long-term relationship between fans and their favorite sport teams.

The purpose of this study is to explore the impacts of aid in the form of food, cash, and agricultural inputs on internal migration following a series of cyclones in the southern coastal areas of Bangladesh. The impacts of sources of aid, such as institutional or social network sources, were also analysed. With the increasing frequency of extreme climatic events, it becomes crucial to understand the impacts of different post-cyclonic aid on human mobility.

A total of 472 households across 16 blocks (moujas) in the Patharghata sub-district of Barguna district were selected for participation using a stratified sampling strategy. Data were captured via a survey which included individual and household-level demographics, migration and aid-receipt following cyclones. Data were analysed using a mixture of descriptive and inferential statistical methods.

The analysis revealed that migration was significantly higher among households which did not receive institutional food aid. More specifically, non-receipt of food aid and cash aid after a cyclone, different sources of income, non-availability of alternative sources of income, lack of land ownership and severity of cyclones up to a certain level increased migration among the households where a minority of household members migrated. In contrast, the absence of food aid and the severity of cyclones were found to be significant factors in increasing migration among the households where a majority of household members migrated. The authors argue that the decision to migrate from the households where most members migrated increased with the rise in cyclone severity.

The contribution of this research in the field of aid and migration is unique. To the best of the authors’ knowledge, no research was conducted before on the impacts of distribution and type of aid on internal migration following a cyclone.

The purpose of this paper is to extend the Push-Pull-Mooring (PPM) theory to identify the factors influencing Muslim customers’ switching intention to halal-certified cosmetics.

A snowballing sampling method was used to distribute an online questionnaire via social media platforms. Of 403 questionnaires, only 363 were usable. SmartPLS 4 was used to analyse the data using a structural equation modelling approach.

The findings of this paper confirmed that social influence and scepticism have a positive effect on the switching intention to halal cosmetics. However, compatibility with current cosmetic products has a negative effect on the switching intention to halal cosmetics. On the other hand, negative side effects and negative past experiences have a positive effect on scepticism. Scepticism was also found to mediate the relationship between negative side effects and negative past experiences toward the switching intention to halal cosmetics.

The findings of this study primarily benefit cosmetics manufacturers, whether halal-certified or otherwise.

This study extends the PPM theory with negative side effects and negative past experiences. Moreover, this study also introduces new relationships and untested relationships between scepticism and switching intention. This study shows the mediating effects of scepticism on the relationship between negative side effects and negative past experiences toward switching intention.

This study aims to see the variables of customer satisfaction level, attractiveness of alternatives, subjective norms and level of religiosity of conventional bank customers in West Java and their effect on switching intentions.

A causality description technique with a quantitative approach is used in this research. The analytical technique used is partial least square-structural equation modeling with a sample of 320 respondents from conventional bank customers in West Java.

The results revealed that the level of customer satisfaction and subjective norms were in the medium category, whereas the level of alternative attractiveness, religiosity and switching intentions was in high level. The level of customer satisfaction harms switching intentions, whereas the level of alternative attractiveness and religiosity variables have a positive effect on switching intentions. In contrast, the subjective norm variable does not affect switching intentions. Therefore, customer satisfaction, the attractiveness of alternatives and religiosity are essential points to cause someone to have the intention to switch.

For stakeholders, especially the government or the Islamic banking industry, to improve the climate of the Islamic finance industry in Indonesia, in particular, to increase knowledge and insight from the public regarding the intention to switch conventional bank customers to Islamic banks.

The use of the religiosity variable as an independent variable on switching intentions is still rarely done. Hence, the authors combine this variable with customer satisfaction, alternative attractiveness and subjective norms. The update in this study also places conventional bank customers included in the millennial generation and generation Z categories who live in the province of West Java as research subjects.

This paper aims to examine the effect of push and pull factors motivating international students to study abroad as two pre-departure factors to their mobility decision; and the effect of two post-departure factors – cultural distance and academic/university environment – on international students’ adjustment.

Data were collected from 339 international students studying in Egypt. Structural equation modeling (SEM) was used to assess the effect of the independent variables on two facets of adjustment, the cultural adjustment and the academic adjustment.

The descriptive studies showed differences in level of adjustments, where the academic adjustment was higher than the cultural adjustment. Moreover, the SEM results have confirmed the significant role of all studied variables on general cultural adjustment; and all variables except for the push factors, on interaction cultural adjustment; and the effect of only push and academic environment on academic adjustment.

This paper is an attempt to extend the work on international students’ mobility via identifying the main pre-departure and the post-departure factors affecting their decision to study in Egypt and the interplay of those factors in shaping their level of adjustment. This study is among a relatively limited attempts in the field that would link push and pull motivational factors to level of adjustment and via detecting the effects on two different adjustments dimensions: the cultural and the academic dimensions; and within an under researched context as Egypt.