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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.

This article analyses in what way Swiss academic institutions have had a favourable or unfavourable influence on changing research practices by following developments in four scientific areas – Bose-Einstein Condensates, Evolutionary Developmental Biology, Large-Scale Assessments in education research and Computerised Corpus Linguistics. Based on empirical evidence, we argue that overall a number of institutional conditions have had a positive influence on the decisions of scientists to dare a switch to a new scientific field. One finds, however, also differences in the working of these institutional conditions leading to quicker or slower developments of the four selected scientific areas.

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.

This study aims to focus on the switching path analysis technique (SPAT) application to enlarge the understanding of customer switching from the business to consumer (B‐to‐C) context to the processes of business‐to‐business (B‐to‐B) supplier switches.

The paper is a theory extension of SPAT, with nine (9) supplier switching cases in different B‐to‐B settings. The cases shed light also on the actual triggers and determinants of the B‐to‐B switches.

The study proves the applicability of SPAT in B‐to‐B settings. The B‐to‐B context adds complexity, forming a relationship flow where many driving factors act for switching. Thus, the findings suggest that a comprehensive analysis of the triggers and determinants is required to understand the switching processes. In particular, the characteristics of the active/passive behaviour should be analysed separately in the customer and in the old and new suppliers.

The empirical findings are exploratory in nature. Further research should refine the characteristics of active and passive behaviour at the levels of the relationship, the companies and the individuals to comprehend the notion of the influential trigger in SPAT. Further research should also address the wider topic of the patterns of certain triggers and determinants that actually lead to unstable supplier relationships.

The B‐to‐B supplier switches appear to be complex processes. The supplier should be able to be constantly aware of the major changes in the customer's business. Based on this awareness, the supplier may actively affect the development of the relationship to avoid unwanted switches.

The paper combines the relatively mature research stream of B‐to‐C supplier switches and access to B‐to‐B supplier‐switching cases. The theory contribution of the paper is the extension of the theory to the B‐to‐B context, with relevant research implications.

The purpose of this paper is to examine the effects of simultaneous and partial auditor switching toward the abnormal return of manufacturing companies listed in Indonesia Stock Exchange between 2009 and 2012.

Auditor switching is divided into some types: lateral Big 4 to Big 4 (B4B4), lateral non Big 4 to non Big 4 (NB4NB4), cross-up (CU) and cross-down. The abnormal return is measured with a market-adjusted model. In this study, company size is used as the control variable and is measured using the natural logarithm of the total assets (LnTA) and return on equity. Multiple linear regression is used for analysis with significant value a= 5 percent. The hypotheses were tested using f-test and t-test.

The result shows that simultaneous auditor switchings affect the abnormal return. In partial auditor switching, only CU switch has effects on the abnormal return.

This study provides additional literature on the effect of auditor switching, especially on an abnormal return.

The purpose of this paper is to investigate the relationship between switching intention and actual behaviour in the grocery shopping context. In particular, the study examines how switching intention drives customers to either replace the current store or cross to others. In addition, the study examines the role of cross-shopping in total-switching behaviour.

The study employs data collected from a sample consisting of 247 food grocery shoppers. The conceptual framework and hypothesis were analysed using the partial least squares approach.

The empirical results support the author’s claim that the research approach applied in this study better explains the switching intention–actual behaviour relationship. Specifically, the analysis provides strong support for the effect of switching intention and various moderating barriers on both cross-shopping and total-switching behaviour. Additionally, the study results point to the positive relationship between cross-shopping and total-switching, indicating that crossing to competing stores is the first step towards utilising the total-switching behaviour.

Implications for food retail providers are identified, together with a discussion of the study’s limitations and avenues for future research.

The study extends previous research in that it proposed and tested a conceptual framework for investigating the relationship between switching-intention and actual behaviour, claiming that switching intention drives customers to either replace their current store or cross to others, whereas the crossing pattern is a predictor of the total-switching behaviour.

In the services marketing literature it has been argued that the concept of service loyalty needs further conceptual and empirical investigation. In this paper a theoretical framework for service loyalty consisting of three dimensions: preference loyalty; price indifference loyalty; and dissatisfaction response is developed. We subsequently focus on the role of service quality and switching costs as antecedents to these types of service loyalty. The results of an empirical study of a large sample of customers from five different service industries provide support for service loyalty as a three‐dimensional construct. Moreover, we find that the influence of service quality on service loyalty varies significantly per industry and that, hence, findings from one industry cannot be generalised to other industries. Furthermore, we establish that in industries characterised by relatively low switching costs, customers will be less loyal as compared to service industries with relatively high switching costs.

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.

Financial technology (Fintech) brings about innovative financial services, such as the possibility of introducing mobile wealth management applications (apps) into consumers' lives. Despite the rapid development of such apps, few studies have focused on users' switching intentions from traditional wealth management services to mobile settings (apps).

Through a survey research method, a total of 378 responses were collected to examine the model. The partial least squares (PLS) technique was employed for data analysis.

To fill this research gap, this paper adopts a push-pull-mooring (PPM) theoretical framework to develop a model for exploring users' switching intentions. According to the empirical results, several push (i.e. perceived inconvenience), pull (i.e. transaction efficiency, perceived personalization and mobile wealth management scenarios) or mooring (i.e. product market expertise and affective commitment) factors are identified that significantly affect switching intention. This study provides theoretical contributions and practical implications for the existing wealth management literature and also offers future research directions.

This study innovatively extends the PPM framework to the traditional and mobile wealth management domains to understand users' switching intentions from offline wealth management services to mobile wealth management apps. The authors uncover several push, pull and mooring factors that are critical for determining users’ switching decisions.

This study aims to examine the role of service customers’ variety-seeking and engagement in driving their service switching intention. The authors also explore the moderating role of customer relationship proneness in this association.

To test the hypotheses, the authors deployed a sample of 227 service customers, whose data was analyzed by using partial least squares structural equation modeling.

The findings show that customer engagement mediates the relationship of customer variety-seeking and their service switching intention, as hypothesized. Moreover, customer relationship proneness weakens the negative effect of engagement on customers’ service switching intention.

Though scholarly acumen of customer engagement is rapidly developing, little remains known regarding its theoretical interface with customer variety-seeking and switching intention. Addressing this gap, the authors test a model exploring the mediating role of customer engagement in the association of customer variety-seeking and switching intention, and the potentially moderating role of customer relationship proneness in the association of customer engagement and service switching intention.