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The digital transformation in the banking industry has brought about complexity and competitiveness which has made differentiation challenging for banks. Complemented by consumer empowerment through high accessibility of information on the internet, this has led to a phenomenon known as switching behavior. The purpose of this review is to examine the determinants governing switching behavior among bank customers. This review highlights the importance of research which looks beyond pre-adoption behavior by examining post-adoption behavior; what happens after initial technology acceptance.

This review examines 44 journal articles researching switching behavior published between 1995 and 2022 in top journals. From a synthesis of literature, a conceptual framework for analysis and understanding switching behavior is presented.

Although various scholars have investigated switching behavior among bank customers, there are few studies which provide a comprehensive review and research classifications in this area. This review classifies key determinants of switching behavior into socio-demographic factors, situational triggers, influential triggers and reactional triggers. Structural equation modelling is the most common research methodology utilized in reviewed articles. The literature review reveals that mediators and moderators are less commonly deployed compared to determinants. Findings also indicate switching behavior studies still lack theory-driven conceptual frameworks.

This paper is the first systematic literature review on switching behavior research among bank customers spanning across 28 years in top academic journals. It integrates insights from 44 relevant research papers through publication trends. This review identifies key research gaps and provides future research directions.

Switching behavior is predominantly seen in the consumer buying behavior of the mobile industry. This research aims to identify the factors influencing consumers to switch from their present mobile service provider. The consumer of the mobile industry operates in a dynamic and ever-changing environment that is difficult to predict, so this paper aims to focus on these issues.

The selection of factors was made with the help of qualitative study and quantitative research methods for further findings; with the help of a structured questionnaire, a total of 514 valuable responses were collected to get the results. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to analyze the data.

The finding shows that technology and edge-on-competition (TEC) and pricing have a negative influence on customer switching behavior. The switching cost (SC) is the most significant factor and has a positive impact, while service encounter failure (SEF) also positively impacts switching behavior.

The findings provide important implications for consumers switching brands if they are finding alternative offers that are cost-effective and SEF from service providers

The study of one of the largest mobile markets is learning lessons for other markets around the world. This study will be helpful for mobile service provider companies in their branding and marketing strategies. This study will also be helpful to practitioners, educators and researchers in understanding the consumer behavior of mobile users.

The learning of the largest mobile market will be a great learning lesson for other mobile markets around the world. Consumer behavior will help marketers follow ethical practices and make their strategy so a consumer does not switch brands and remain satisfied with the existing brand.

The study provides unique learning for practitioners, educators and researchers to understand the consumer behavior of mobile users. This will help marketers create factors that stop consumers from switching brands and develop strategies to retain customers.

The paper aims to explore the effects of the behavioural antecedents suggested by the theory of planned behaviour (TPB) (i.e. positive subjective norms, high perceived behavioural control and positive attitudes towards switching) on the switching propensity of retail banking customers at several critical switching incidents (CSIs) (i.e. events of unfavourable reputation concerning their current bank or favourable reputation concerning competitor banks, service failures, problems with charges and interest rates, herding behaviour, inconvenience, alternative banks' attractiveness and unethical bank practices).

A self-completed online survey was conducted among 324 Cypriot retail banking customers. For the data analysis, the researchers used principal component analysis (PCA), confirmatory factor analysis (CFA) and structural equation modelling (SEM).

The study revealed that the behavioural antecedents specified by TPB play different roles in various CSIs. Positive subjective norms may drive bank customers to switch at critical incidents such as: service failure, unfavourable bank reputation, alternative banks' attractiveness, inconvenience, favourable reputation of other banks and herding behaviour. High perceived behavioural control can lead to switching, only in the case of other banks' favourable reputation. Finally, positive attitudes towards switching may affect bank clients to switch in cases of service failure, unfavourable bank reputation, alternative attractiveness and inconvenience.

To the best of the authors' knowledge, no other previous research work has examined the interaction between the antecedents of switching behaviour (as specified by TPB) and switching propensity at different CSIs. The study addresses the gap of explaining the reasons for which, at similar incidents, some bank customers choose to switch to other banks, whereas others do not.

This study aims to explore the switching behaviour of short video (SV) users and its influencing factors and promote the sustainable development of SV platforms (SVPs) and the marketing strategy formulation of library and information institutions.

Using the qualitative research method of semi-structured interviews and grounded theory, this study conducts an exploratory study on the user switching phenomenon of an SVP. The authors encoded the interview text at three levels, extracted the factors influencing user switching behaviour on an SVP and constructed the corresponding theoretical model.

This study identifies the following major internal and external factors influencing user switching behaviour of SVP: platform quality, social environment, individual characteristics and use needs. It also elaborates on the impact of these internal and external factors on user switching behaviour.

This study explored the factors influencing SV user switching behaviour and constructed corresponding theoretical models, enriching research in information technology and social media switching. In practice, this study helped the existing SVPs and library and information institutions establish a corresponding early warning mechanism to prevent the loss of existing users and attract new users.

The purpose of this qualitative comparative study was to explore the brand-switching behavior of Muslim consumers in selected cities from Pakistan and Malaysia.

Data were collected through interviews which were conducted with 30 participants including universities (5), shopping malls (5) and restaurant locations (5) of each country. The constant comparative analysis was used to analyze the data.

Results revealed that a demonstration of awareness of American brands, their image and perceived quality causes Muslim consumers to switch away from American brands to non-American brands. In addition, this study also showed that the certain reasons compel consumers to stay with American brands.

The findings are helpful for American brands in reconsidering their strategies while segmenting the Muslim consumers as target market.

This is the first paper of its kind to explore Muslim consumer brand-switching behavior by using a qualitative method.

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.

The intention-behavior gap that occurs when one’s actions do not align with their intentions has been the topic of interest of many researchers. However, the effects of the various constructs that influence the intention-behavior gap in service failure and recovery remain under-explored to date. To fill this gap, this study aims to examine the relationship between switching intention (i.e. intention) and customer exit (i.e. behavior) and the moderating roles of failure severity and service recovery satisfaction.

To test the proposed hypotheses, the authors used a longitudinal panel involving 821 customers who actually experienced a service failure and recovery in 38 fitness centers in Brazil. The data analysis is composed of logistic regression and cross-tabulation.

The results confirmed the significant role of switching intention on customer exit and the moderating effect of failure severity (but not service recovery satisfaction) in the relationship between switching intention and customer exit. Most of all, switching intention had low explanatory power for customer exit, confirming the presence of the intention-behavior gap. The authors further identified a weaker presence of the intention-behavior gap for female (vs male) customers and for those who experienced process failure (vs outcome failure).

Although the authors confirmed the intention-behavior gap, the biggest proportion of the variance remains unexplained. Thus, it is important to explore the roles of other possible drivers, moderators and mediators.

As switching intention is not a strong predictor of customer exit, managers should not assume that those who appear to be on the verge of switching will immediately exit the service provider.

As researchers question the explanatory power of intention for actual behavior, this paper confirms that there is an intention-behavior gap in service failure and recovery. Moreover, given that most researchers have focused on the positive outcomes of service recovery efforts, such as customer loyalty and commitment, studying negative outcomes, including switching intention and customer exit, is a key contribution of this research.

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.

User-generated content (UGC) refers to semantic and behavioral traces created by users on various social media platforms. While several waves of platforms have come and gone, the long-term sustainability of UGC activities has become a critical question that bears significance for theoretical understanding and social media practices.

Based on a large and lengthy dataset of both blogging and microblogging activities of the same set of users, a multistate survival analysis was applied to explore the patterns of users' staying, switching and multiplatforming behaviors, as well as the underlying driving factors.

UGC activities are generally unsustainable in the long run, and natural attrition is the primary reason, rather than competitive switching to new platforms. The availability of leisure time, expected gratification and previous experiences drive users' sustainability.

The authors adopted actual behavioral data from two generations of platforms instead of survey data on users' switching intentions. Four types of users are defined: loyal, switcher, multiplatformer and dropout. As measured by the transitions among the four states, the different sustainability behaviors are thereby studied via an integrated framework. These two originalities bridge gaps in the literature and offer new insights into exploring user sustainability in social media.

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.