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Drawing on and extending the push-pull-mooring (PPM) framework, this paper aims to empirically explore the influencing mechanism of traveler switching intention from the hotel reservation platforms to the sharing accommodation platforms (SAPs).

This study adopts structural equation modeling to analyze the 543 responses collected among hotel reservation platforms and SAPs travelers.

The results support the positive effect of both push factors (e.g. dissatisfaction with product, service and information quality of hotels on the hotel reservation platform) and pull factors (e.g. price value, authenticity, interaction, home benefits and novelty of SAPs) on traveler switching intention. Except for the negative effect of switching cost, other mooring factors including prior switching experience and social influence positively affect traveler switching intention. The authors also found the switching cost negatively and prior switching experience positively moderated the push effects on traveler switching intention, while the social influence positively moderated the pull effects on traveler switching intention.

Recommendations of future SAP participation research to consider the competing platforms, the unique experiences of SAPs and mooring factors. Examining the factors of different sources is also useful for practitioners to better understand travelers’ demands and to improve the overall welfare of travelers.

This paper embraces an extended PPM framework to explore traveler switching intention in online travel platforms. Moreover, this paper provides unique insights into the switching behavior from the hotel reservation platforms to the SAPs.

Emerging social networking sites (SNSs) are less advantageous than leading SNSs in attracting users. They might stand a better chance if they know what users want. The purpose of this paper is to study factors that urge Facebook users to switch to Instagram to reveal how latecomers in the SNSs circuit can win the hearts of users.

This study proposes an SNS switching framework that is adapted from the demographic Push-Pull (PP) migration model to investigate users’ switching intention. Structural equation modeling was applied to analyze the data collected from 260 Instagrammers who all had experience using Facebook before moving on Instagram.

Results show that socializing and system quality of the SNS negatively affect users’ switching intention, while attractiveness of the alternative, peer influence and critical mass do the opposite. Surprisingly, enjoyment is not associated with switching intention.

SNSs switching may not mean a complete abandonment of previous SNSs. In many occasions, users simply become less active in one SNS and more active in other SNSs. The PP migration model provides a useful tool to understand the patterns as well as competing forces that influence the migration of SNS users, pushing them away or pulling them to new alternative sites. Specifically, pulling demonstrates to be a stronger influence than pushing.

This study suggests that SNS operators should satisfy users’ needs for socializing, maintain high system quality, provide peer influence tools and create their own attractive features, in order to retain existing customers or induce new users to switch.

This is one of the earlier empirical studies to investigate users’ switching intention from Facebook to Instagram with a valid sample. In addition, the present study approaches pull and push effects by multiple constructs, providing a clearer picture of what constitutes the pull and push forces.

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.

Built upon the push–pull–mooring framework, this study explores the factors that affect user switching from blog to microblogging. Low social presence is posited to form the push effect of blog, whereas larger referent network size and relative ease of use work together to shape the pull effect of newly emerging microblogging. Furthermore, adopting the status quo bias theory and habit literature as theoretical lens, affective commitment, switching costs and habit are regarded as important sources of inertia. Inertia is presumed to play a key role in mooring effects because it negatively affects switching intention and attenuates the main effects of pull and push factors. More importantly, the effects of affective commitment, switching costs and habit on switching intention are fully mediated through inertia.

An empirical study of 239 users who use blog and microblogging services concurrently was conducted in China.

Our findings indicate that low social presence pushes bloggers away, whereas relative ease of use pulls them to the microblogging. Affective commitment, switching costs and habit are important sources of inertia. In the context of this study, inertia fully mediates the relationship between habit and switching intention, and only partially mediates the effect of affective commitment and switching costs on switching intention. Furthermore, inertia negatively moderates the relationships between social presence, relative ease of use and switching intention.

This study expands our understanding of online service switching mechanism, and identified key factors in IT switching, such as social presence, affective commitment and inertia. We believe that these mechanisms and key factors are not necessarily limited to online services, but are largely applicable to other contexts in which people interact with technology. This study builds a useful foundation for future research.

The purpose of this paper is to develop an extended Push-Pull-Mooring-Habit (PPMH) framework in order to better understand users’ intention of switching from offline to an online real-person English learning platform service.

Based on 301 valid responses collected from an online survey questionnaire, structural equation modeling was employed to examine the research model.

The causal model was validated using SmartPLS 3.0, and all study hypotheses were supported. The results show that push effects (learning convenience, service quality and perceived price), pull effects (e-learning motivation, perceived usefulness), mooring effects (learning engagement, switching cost and social presences) and habit effects (relationship inertia) all significantly influence users’ switching intentions from offline to an online real-person English learning platform.

The findings should help online English learning service providers and marketers to understand the intention of offline English learning users to switch to an online real-person English learning platform, and develop related theories, services and regulations.

The present study extends the prior research of an online real-person English learning platform by providing PPMH as the general framework and demonstrating its efficacy in explaining user switching intentions.

This study aims to examine the interactive effect of the push factor from the conventional bank, the pull factor from the Islamic bank and the internal mooring factor of the customers in influencing the switching behavior of two types of customer account holders, the conventional only and the mixed (conventional and Islamic bank) account holders, from the services marketing mix perspective.

This study applied an explanatory research design. The data were collected via an online survey from 1,171 Muslim participants; participants consisted of conventional only account holders, Islamic bank only account holders and mixed (conventional and Islamic bank) account holders. The data were mainly analyzed using structural equation modeling.

Based on the account, the results showed that the three types of customers differ significantly in terms of the effect of the push, pull and mooring factors. The study also showed that the mooring factor, which is internal to the customer, is the most significant factor that inhibits customers from migrating to Islamic banks. The effect was observed for both conventional customers and those who hold mixed accounts.

The study was conducted via an online survey, which reduces the representativeness of the sample. In addition, most respondents were urban dwellers and well educated, which might not represent the banking behaviour of Indonesian Muslim customers in general.

The study implies that to attract the conventional only account holder, Islamic banks should first weaken the mooring factors (the internal characteristics of the customers) that inhibit customers from switching to an Islamic bank.

The main contribution of the study is that it simultaneously identifies the push, pull and mooring factors that have the most significant impacts on Muslim customers' switching behavior from a conventional to an Islamic bank.

Mobile location-based service (m-LBS) seems like a new class of personalized service due to location positioning technologies. This work aims to investigate consumer readiness (RED) toward m-LBS based on integrating pull effect- and push effect-related factors into the technology acceptance model (TAM).

An online survey collected data from 423 participants, and the research framework was analyzed using structural equation modeling (SEM).

The results divulge that consumer RED is determined by TAM antecedents, including usefulness (USE) and ease of use (EOU). EOU motivates USE in m-LBS. Regarding pull effect-related factors, absorptive capacity (ABC) is the strongest positive factor influencing consumer RED to use m-LBS, followed by technology willingness (TWI) and innovativeness (INN). Moreover, INN, trust (TRU) and perceived risk (RIS) significantly influence USE and EOU.

This work endeavors to explicate customer RED toward m-LBS by incorporating some meaningful pull effect-related dimensions (i.e. ABC, TWI and INN) and pushing effect-related dimensions (i.e. RIS) into crucial antecedents rooted in TAM. Thus, the findings assist practitioners in developing marketing strategies by boosting pull effects and controlling push effects on customer engagement in m-LBS.

How to improve continuance commitment for platform workers is still unclear to platforms' managers and academic scholars. This study develops a configurational framework based on the push-pull theory and proposes that continuance commitment for platform workers does not depend on a single condition but on interactions between push and pull factors.

The data from the sample of 431 full-time and 184 part-time platform workers in China were analyzed using fuzzy-set qualitative comparative analysis (FsQCA).

The results found that combining family motivation with the two kinds of pull factors (worker's reputation and algorithmic transparency) can achieve high continuance commitment for full-time platform workers; combining job alternatives with the two kinds of pull factors (worker's reputation and job autonomy) can promote high continuance commitment for part-time platform workers. Particularly, workers' reputations were found to be a core condition reinforcing continuance commitment for both part-time and full-time platform workers.

The findings suggest that platforms should avoid the “one size fits all” strategy. Emphasizing the importance of family and improving worker's reputation and algorithmic transparency are smart retention strategies for full-time platform workers, whereas for part-time platform workers it is equally important to reinforce continuance commitment by enhancing workers' reputations and doing their best to maintain and enhance their job autonomy.

This study expands the analytical context of commitment research and provides new insights for understanding the complex causality between antecedent conditions and continuance commitment for platform workers.

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 a theoretical model using the push-pull-mooring framework which adopts both direct and moderating effects, in relation to building antecedents of Muslim switching intention (SI) from using cash to mobile payment (m-payment).

The data collected were 317 respondents, then processed using the partial least squares structural equation modeling approach (SEM-PLS). Furthermore, advanced PLS techniques such as PLS predict, blindfolding and importance-performance map analysis are used to verify the statistical analysis of findings.

This research underlines the importance of religious commitment factor when talking about Muslims SI to use m-payment. Moreover, the features of m-payment, such as enjoyment, efficiency, security and convenience, have contributed to the driving and attracting factors for Muslim individuals to switch from cash to m-payment.

Fundamentally it is highly recommended that the highest concentration of service provider strategies is always obeying the principles of Islamic finance, with regard to the Muslim community as their target market. Specific to the government, the distribution of supporting infrastructure and literacy of new technologies such as m-payment are still important points in an effort to create a cashless society.

The model in this study emphasizes the internal and external construction of a Muslim in relation to the behavior of SI from using cash to m-payment. Thus, the construction of the model that has been built is considered to bring more relevant factors to explain the m-payment adoption behavior of a Muslim from various perspectives.