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There have been mixed results regarding the impacts of satisfaction, service quality and service value on consumer loyalty. The purpose of this paper is to investigate the moderating effects of switching costs between the three antecedents and consumer loyalty via four loyalty dimensions, i.e. repurchase intentions, appreciating behavior, complaining behavior, and price‐increase tolerance.

A conceptual framework is developed where the canonical correlations among the antecedents and components of consumer loyalty are analyzed. Three hypothesis sets are proposed and tested based on 12 service industries in Hong Kong markets.

The findings provide strong evidence of the moderating effects on repurchase preference, but only partial support on the other three loyalty dimensions.

The above findings enable managers to adjust their strategies in response to varying levels of switching costs among services, which affect the relationships between the three primary antecedents and repurchase preference.

Consumer loyalty is considered as an important source of competitive advantages for service firms. Although potential antecedents of loyalty, including satisfaction, service quality and service value, have been identified, their influences on loyalty vary among different service industries. This research highlights the moderating effects of switching costs on the four consumer loyalty dimensions.

This paper aims to discuss a comprehensive analysis of the effects of torque and flux hysteresis bands on the inverter average switching frequency considering an induction machine drive under the control of the Takahashi DTC strategy.

The analysis of the effects of torque and flux hysteresis bands on the inverter average switching frequency is carried out taking into account the speed range and the sampling period.

It has been found that the inverter average switching frequency could be more or less taken down according to the speed range and the sampling period by selecting suitable flux and torque hysteresis bands.

This work should be extended by an experimental validation of the established results.

The reduction of the inverter switching frequency is of great importance in direct torque controlled induction motor drive as far as it leads to a decrease of the torque ripple and an increase of the efficiency.

For given torque and flux hysteresis bands, the inverter average switching frequency presents nonlinear shape. Given the fact that the flux switching frequency is a linear function of the speed, one can conclude that the nonlinearity of the inverter average switching frequency is due to the torque switching frequency. This statement has been proven by the introduction of the so‐called focal speeds for the torque switching frequency turns to be null.

This paper aims to present two hysteresis-control algorithms designed for medium-frequency, direct-current, resistance-spot-welding (MFDC RSW) systems. The first proposed control algorithm (MSCHC) eliminates the short switching cycles that can occur when using the existing hysteresis-control algorithms. This control minimises the number of switching cycles that are needed to generate the selected welding current. The welding-current ripple can be high when using this control algorithm. Therefore, a second algorithm (HCRR) is presented that reduces the welding-current ripple by half.

The proposed hysteresis controllers consist of the transformer’s magnetic-flux-density hysteresis regulator and a welding-current hysteresis regulator. Therefore, the welding current must be measured and the saturation of the iron core must be detected. The proposed hysteresis controller supplies the inverter with the signals needed to generate the supply voltage for the RSW transformer, which then generates the selected welding current.

The proposed MSCHC algorithm produces the smallest possible number of switching cycles needed to generate the selected welding current. The high welding-current ripple can be reduced if the number of switching cycles is increased. The observed number of switching cycles and the welding-current ripple change if the welding resistance and/or inductance change.

The number of switching cycles can be minimised when using the first proposed control algorithm (MSCHC), and so the switching power losses can be minimised. If the welding-current ripple produced by the first control algorithm is unacceptable, the second control algorithm (HCRR) can reduce it by increasing the number of switching cycles.

This case study, within the context of boundaryless and protean career development frameworks, investigates linguistic profiling and how code-switching is used to mitigate its impact on Black leaders during their careers. The experiences of Black women coaches and the coaching support they offered Black women clients in code-switching, leadership and career advancement are described. The value of leadership coaching when used to navigate these career progression challenges is emphasized.

The study employed a multiple-case study approach of two Black women leadership coaches.

The findings of this study illustrate the understanding of code-switching and the coaching techniques employed by two Black women leadership coaches. Sage focused on educational strategies, offering historical contexts and resources, while Khadijah leaned on empathy-driven methods, using storytelling to evoke reflection. Both coaches emphasized creating safe spaces for open dialog, encouraged clients to reconsider their actions and values regarding code-switching challenges and sought to prompt clients towards authenticity while navigating career spaces effectively.

Additional strategies for coach practitioners include cultivating trust and a safe environment; active listening; challenging biases and assumptions; contextual understanding; empowering authentic self-expression; fostering skill development; challenging stereotypes; promoting autonomy and flexibility and adopting cross-cultural sensitivity, humility and competence. These practical coaching strategies bridge the gap in career development research by demonstrating how race-conscious strategies can promote workplace inclusivity and promulgate career development.

The study underscores the problem of linguistic profiling, the complexity of code-switching and implications for Black women navigating their career journey within professional spaces. It highlights the significance and value of tailored leadership coaching strategies to promote career advancement. This study addresses the gap in career development research related to linguistic profiling avoidance strategies for workplace inclusivity.

The purpose of this paper is to explore loyalty and switching behavior among corporate energy customers in Italy. Thanks to the recent liberalization process, firms have now the opportunity to evaluate alternative energy providers and try to reduce their energy expenses. Nonetheless their switching rate in Italy is currently as low as 6.3 percent.

The study is based on a cross-sectional analysis of the switching behavior of a sample of 110 Italian small and medium firms that purchase natural gas from a middle-sized natural gas supplier.

The analysis emphasizes the role of price convenience (but not of dissatisfaction with the service provision) as a driver of the intention to switch to a new supplier. The negative impact of procedural and relational switching costs on the intention to switch emerges, as well.

The sample size was quite limited. Moreover participants were all customers of one natural gas supplier only.

The findings highlight the need for gas service providers to focus on customer orientation and loyalty to stimulate customer loyalty and not just customer repurchases.

Whilst a few studies have explored switching behavior and loyalty among private energy customers, this study investigates this issue among corporate energy customers.

This study aims to understand the reasons for individuals switching from traditional banks to Internet-only banks and examine how switching intentions differ between Generation X and Generation Z. Notably, Generation Z, being digital natives, exhibits distinct characteristics compared to Generation X, who often referred to as digital immigrants. Given the technology-driven nature of Internet-only banks, a multi-group analysis between these two generations was conducted.

This study utilizes Bansal’s push–pull–mooring model as a framework to analyze switching intention. The study collected survey data from 383 Korean participants, consisting of 198 participants from Generation Z and 185 participants from Generation X.

The findings indicate that low satisfaction and discomfort are factors that push people to leave traditional banks. Specifically, Generation Z shows a significantly higher inclination to leave traditional banks due to discomfort. On the other hand, relative advantage, compatibility, observability and trialability are factors that pull people to switch to Internet-only banks. Generation X is more likely to consider adopting Internet-only banks when compatibility is high and complexity is low.

This study is the first to explore unique motivators for Generation Z, such as their discomfort with interpersonal interactions in the retail banking sector. These findings challenge earlier research emphasizing human interaction’s importance in technology adoption, offering insights into their future adoption of contactless services.

This paper investigates the usefulness of switching Gaussian state space models as a tool for implementing dynamic model selection (DMS) or averaging (DMA) in time-varying parameter regression models. DMS methods allow for model switching, where a different model can be chosen at each point in time. Thus, they allow for the explanatory variables in the time-varying parameter regression model to change over time. DMA will carry out model averaging in a time-varying manner. We compare our exact method for implementing DMA/DMS to a popular existing procedure which relies on the use of forgetting factor approximations. In an application, we use DMS to select different predictors in an inflation forecasting application. We find strong evidence of model switching. We also compare different ways of implementing DMA/DMS and find forgetting factor approaches and approaches based on the switching Gaussian state space model to lead to similar results.

In consultant–client relationships, relationship longevity can create significant cost advantages and operational efficiencies for both client and consultant. At the same time, each party may also be motivated to look for new perspectives and opportunities by switching to new relationships. However, the benefits of replacing one consulting relationship with another are mitigated by switching costs: the costs associated with the act of changing the relationship itself.

This chapter explores the concept of switching costs by examining various types of costs, the ways these costs have been conceptualized in the literature, and how these costs may impact the nature and continuity of consultant–client relationships. The chapter will end with a series of hypotheses and suggestions for a research agenda to further develop our understanding of this important phenomenon.

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.

It is rare for the forecasts of one economic forecasting model to always be more accurate than the forecasts from an alternative model. This suggests the possibility of implementing a switching strategy that chooses, at each point in time, the forecasting model that is expected to be most accurate conditional on a set of instruments that are used to track the relative accuracy of the underlying forecasts. The authors analyze the factors determining the expected gains from such a switching rule over a strategy of always using one of the underlying forecasts. The authors derive bounds on the expected gains from switching for both the nested and non-nested cases and also analyze the case with a highly persistent (near-unit root) predictor variable.