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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.

The main purpose of the chapter is to explain the impact of labour market security on migration-related decisions, especially in terms of push-pull factors theory. There are different ways to understand work-related security; the chapter discusses the importance of job security, employment security and income security from labour migration perspective. The article presents the existing body of literature on theoretical concepts as well as on some methodological facets of the measurements of the level of particular aspects of work-related security. Special attention is paid to labour migrants in terms of their working conditions in both sending and receiving countries. An overview of previous migration studies proves that the issue of migrants’ labour market security was not the subject of any in-depth analyses. There are, however, many examples of research showing that, under certain conditions, migration decisions are influenced by, among others, the generosity of a welfare state, stability of job and the desire to achieve the so-called normal life. In the case of migrants from third countries (e.g. from Ukraine), income security is of particular importance alongside remuneration.

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.

The purpose of this study is to examine the factors affecting deposit withdrawal intentions among Moroccan profit-sharing investment account holders.

Applying the push-pull-mooring (PPM) theory, a quantitative survey, based on insights brought to light by a previous qualitative study, was developed and administered to 166 depositors from five participatory banks at branches located in Morocco. Structural equation modeling was then used to evaluate the significance of relationships between the various variables under study.

Empirical findings showed that the PPM model with a second-order construct structure exhibited a better representation of the observed variables as compared to a first-order factor model. The results of the structural analysis indicated a significant direct relationship between withdrawal intention and each of the PPM model constructs: push and pull factors were found to have a positive impact on withdrawal intention, while mooring factors had a significant inverse relationship with withdrawal intention. The results of this study also revealed that the moderating role of the mooring construct was found in both relationships between push and withdrawal intention and between pull and withdrawal intention.

The absence of a longitudinal study measuring the actual withdrawal behavior is the main limitation of this study. Furthermore, withdrawal intention was examined without differentiating between individual and corporate depositors. Finally, despite being insightful, the empirical findings should be generalized with caution, as the sample was purposely chosen by the banks’ management.

This study implied that participatory banks should stress the importance of mooring factors, as they strongly inhibit depositors’ intention to shift their funds to the conventional banking system. Moreover, this study provides great indications to Moroccan regulators and policymakers on a number of issues that can be used to develop policies that could improve the participatory banking system.

To the best of the authors’ knowledge, this study represents the first attempt to confirm the effectiveness of the PPM model in examining depositor-withdrawal intentions. This study is also the first of its kind to address profit-sharing investment depositors’ apprehensions in the Moroccan context, to the best of the authors’ knowledge.

Most previous studies on new technologies and services have concentrated on their acceptance, seldom exploring in depth why users may choose not to accept technology or service and remain “non-users.” This study aims to understand free platform users' intention to switch to paid subscription platforms.

This study utilized push-pull-mooring (PPM) theory to investigate free OTT platform viewers' switching intentions toward paid OTT platforms. A research model was established and examined via a two-stage partial least square (PLS) method. A total of 446 free users were collected from Facebook and Line for data analysis.

Results show that perceived intrusiveness is the push factor and alternative attractiveness is the pull factor and that both have a positive impact on the switching intention of non-subscribers. Habit represents the mooring factor and negative affects switching intention. Perceived convenience and perceived enjoyment are shown to be two significant habitual antecedents. Furthermore, habit is revealed to moderate the effect of users' perceived advertisement intrusion and alternative attractiveness on switching intention to strengthen positive impact when the habit is strong.

This study is one of the pioneering studies to consider free-to-paid switching behavior on media services using PPM's structural equation model. Contrary to previous research, the study found that, in the context of the free-to-paid transition, highly accustomed users' perception of pull factors and push factors were strengthened, thus generating the tendency to switch platforms.

This study aims to propose a theoretical model to investigate factors affecting the intentions of youngsters in switching to a virtual third place during the COVID-19 pandemic.

This study obtained 221 responses from Indonesian youngsters, which was used to validate the proposed model using structural equation modeling analysis.

The direct effect indicated that perceived behavior and social distance attitude were the most significant predictors of intention followed by boredom and place attachment (PA), and the indirect effect of loneliness and social presence. In addition, moderating impact contributed significantly by providing profound knowledge toward the result.

The combination of PA and personal traits based on the push–pull–mooring framework relating to the virtual third place adoption during the COVID-19 pandemic offered a comprehensive model that has not been explored extensively by previous studies.

The purpose of this paper is to seek the inner motivations present in immigrants moving from different regions of Brazil to its capital, Brasília. The goal is to find out the individuals’ stories, not only the macroeconomic aspects usually studied in migration movements. Also, the authors intend to understand how impacting the process of leaving one’s homeland and loved ones behind can be.

In this study, ten recent immigrants were interviewed about their inner motivations to migrate to Brasília and the difficulties faced. Their answers were categorized and distributed into charts showing the most relevant parts for the study.

Two main topics stood out: work and love. The search for a meaningful and rewarding job is a strong enough reason to migrate. Love presents itself as a different reason to migrate, especially when economic and political reasons are the most common motivators. Love has to do with wanting to be with a partner or family. Migration is a time for crisis, mourning can be present and the strangeness of the new place may affect some more than others. All interviewees mentioned the hardships of adapting, be it emotionally or psychologically.

It is a response to the lack of clinical psychology studies about migration in Brazil. The importance of having studies carried out with a more qualitative perspective in the field of migration, in which the focus are the inner motivations of the migrants and what their experiences are.

On the basis of the approach-avoidance motivation theory, this study aims to examine the role of information confusion in influencing consumer switching intention among social commerce platforms, with the mediating effect of emotional exhaustion and the moderating role of social overload.

This study applied a multi-method quantitative approach including a survey and two experiments. Data were obtained from consumers on popular social commerce platforms in China. The survey's sample size was 327 respondents, whereas a total of 1,621 consumers participated in the two experiments.

Findings from the survey reveal that information confusion affects switching intention directly and indirectly via emotional exhaustion. Moreover, social overload moderates the emotional exhaustion–switching intention relationship and the indirect impact of information confusion on switching intention. Results of the two experiments further confirm the relationships found in the survey.

This study develops and validates a mediation and moderation model which expectedly serves as a framework to better explain consumer switching intention on social commerce platforms. The study also offers fresh insights into consumer switching intention in the unique context of social commerce in an emerging market (i.e. China), which has been largely ignored in the prior literature.

The purpose of this paper is twofold: first, to clarify what specific behaviors are involved in consumers' partial switching in mobile application (app) usage, and, second, to explore the common and differential motivations of these behaviors.

This paper specified two behaviors in consumers' partial switching in mobile app usage, trialing and combining behaviors, and conceptualized them as different types of variety seeking behaviors. A theoretical model contrasting intrinsic motivations and extrinsic motivations on the two behaviors was developed and tested with a sample of 561 mobile app users in China.

The findings showed that both trialing and combining behaviors could be motivated by intrinsic individual-related and extrinsic technology-related factors. Besides, intrinsic individual-related factors were more effective in motivating trialing behavior, whereas extrinsic technology-related factors were more effective in motivating combining behavior. All these findings are applicable and consistent in both hedonic and utilitarian apps.

This study extends and advances the literature on information technology switching by investigating consumer use behaviors from a new perspective of partial switching and multiple competing apps usage. This study also contributes to variety seeking literature by extending the understanding of variety seeking to the context of mobile app usage. Finally, by investigating the associations and distinctions of trialing and combining behavior, this study not only helps to fully understand the partial switching but also enriches the understanding of different types of variety seeking behaviors.

The purpose of this paper is to examine a framework integrating the technology acceptance model (TAM), individuals’ task–technology fit (TTF) and perceptions toward adopting automobile telematics devices.

This study integrated the TAM with TTF to understand individual perceptions of a technology’s value. In addition, the intrinsic motivational factors toward technology usage, including positive perceptions (perceived enjoyment, personal innovation and perceived uniqueness) and negative perceptions (perceived risk and performance gap), were considered in the model. Furthermore, the moderating effect of driving experience was examined.

The perceived usefulness (PU) of telematics as well as perceived ease of use (PEOU) affected drivers’ adoption intentions. PEOU had a greater effect on adoption intentions than PU, and technology characteristics had a greater effect on TTF than task characteristics. Moreover, individuals’ perceptions of perceived enjoyment and uniqueness affected PU and PEOU. The negative perceptions of perceived risk and performance gap affected PU and PEOU, respectively. Furthermore, driving experience significantly weakened the relationship between PU and intentions.

Telematics is a niche market due to the development of the Internet of Things, but users’ adoption intentions remain unknown. This study constructed a more comprehensive model and tested the impacts of certain variables on telematics adoption, with driving experience as a crucial moderator.