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The present paper aims to investigate the effect of network provider, customer demographics, customer satisfaction and perceived switch costs on churn in the mobile telecommunications market.

The study is carried out as a longitudinal, two-wave study of mobile telecommunications customers in Norway: n=1,499 (wave 1) and n=976 (wave 2). Churn is measured as change in the mobile network provider between the two waves. The data are analysed as a logistic regression with the independent variables provider, gender, satisfaction, switch costs and age.

The analysis shows significant effects of provider, satisfaction, switch costs and age and of the interaction between satisfaction and provider. Gender has no significant effect on churn. Provider effects are interpreted as effects of brand image since other known influences on churn (satisfaction, switch costs and demographics) have been controlled for in the design.

Further research is necessary in order to single out which brand aspects are responsible for the effects of brand ownership and to ensure the generality of the findings outside Scandinavia.

The findings indicate that a strong brand image makes a company less susceptible to customer churn caused by low satisfaction.

The relation between brand ownership and churn in the mobile telecommunications sector has not been reported previously.

Despite service downgrades' undisputed practical relevance, service downgrades (e.g. customers shifting the price tier downward) have received surprisingly little attention from scholars. Previous studies have focussed on either the public policy issue of tiered pricing or optimal pricing by the service provider. Only a few studies have examined why customers shift across different price tiers and how such activities indicate their future behaviour.

Based on customer data collected from a major telecommunications company, the authors use a logistic regression model to investigate how two service modification levers (i.e. transaction- and relationship-level factors) influence the likelihood of service downgrade. The authors apply a survival model to study how service downgrades affect customer churn.

Transaction-level factors such as service usage (e.g. the frequency and recency of underuse experiences) are positively associated with the likelihood of a downgrade. However, relationship-level factors (e.g. relationship duration and customer status) are negatively associated with the likelihood of downgrades. Customers engaging in downgrades are more likely to churn in the future.

The authors focus on downgrade behaviour, which can be perceived as customers' choice to move down the price tier, which likely ruins the service provider's performance. The authors conceptualise two fundamental driving forces behind a service downgrade: the misfits between the actual usage and the service plan chosen and the deteriorating relationships. The authors' empirical findings on the factors influencing downgrades provide insights for service providers seeking to prevent such behaviour.

Applied research shows higher wages are associated with lower mobility at the establishment level. A usual interpretation is that high pay decreases labour turnover. The purpose of this paper is to test if such relationship holds for every type of worker in every type of firm.

The analysis is based on a linked employer-employee panel dataset covering the French private sector from 2002 to 2005. The authors compute establishment wage effects and use them as explanatory variables in labour mobility equations (for churning rate and quit rate). Using spline regression models enables to investigate for potential non-linearities.

The authors show that the relationship between churning rate and wage is non-linear and has the shape of an inverted J: the relation is negative and intense for establishments with low wage effect, weaker for average paying establishments and even becomes positive for very high-paying ones. This is true whatever the skill group of workers. It is also true for large establishments while the relationship is still negative but linear for small ones. The relationship between wages and quit rates has a strikingly similar pattern. This suggests that the link between churning and establishment wage effect is strongly related to quit decisions.

A possible interpretation of our results is that paying higher wages may be an effective stabilizing tool especially for employers in small establishments and when starting wages are relatively low.

The paper is the first to decompose the relationship between wage and mobility. It shows the relationship differs across establishment size and is not linear. The paper also shows quits play a role in this relationship.

The purpose of this paper is to identify the influence of the frequency of word exposure on online news based on the availability heuristic concept. So that this is different from most churn prediction studies that focus on subscriber data.

This study examined the churn prediction through words presented the previous studies and additionally identified words what churn generate using data mining technology in combination with logistic regression, decision tree graphing, neural network models, and a partial least square (PLS) model.

This study found prediction rates similar to those delivered by subscriber data-based analyses. In addition, because previous studies do not clearly suggest the effects of the factors, this study uses decision tree graphing and PLS modeling to identify which words deliver positive or negative influences.

These findings imply an expansion of churn prediction, advertising effect, and various psychological studies. It also proposes concrete ideas to advance the competitive advantage of companies, which not only helps corporate development, but also improves industry-wide efficiency.

The success of online health communities (OHCs) depends on maintaining long-term relationships with physicians and preventing churn. Even so, the reasons for physician churn are poorly understood. In this study, an empirical model was proposed from a social influence perspective to explore the effects of online social influence and offline social influence on physician churn, as well as the moderating effect of their online returns.

The empirical data of 4,145 physicians from a Chinese OHC, and probit regression models were employed to verify the proposed theoretical model.

The results suggest that physicians' churn intention is influenced by online and offline social influences, and the offline social influence is more powerful. Physicians' reputational and economic returns could weaken the effect of online social influence on churn intention. However, physicians' economic returns could strengthen the effect of offline social influence on churn intention.

This research study is the first attempt to explore physician churn and divides the social influence into online and offline social influences according to the source of social relationship. The findings contribute to the literature on e-Health, user churn and social influence and provide management implications for OHC managers.

The purpose of this paper is to investigate the patterns and determinants of excess labour turnover (churning) in the Luxembourg labour market using a rich employer‐employee matched data set.

The paper formulates a model to explain churning rates using three sets of explanatory variables: various worker characteristics, establishment characteristics, and two‐digit sector‐specific characteristics. The data used are from the Luxembourg social security system for the period 1992‐2003.

The findings show that there are high churning levels in Luxembourg, that their determinants vary significantly across sectors, and that much of this variation can be explained by worker‐ and establishment‐specific features.

A major question, still undecided in the research literature, is whether churning is simply the result of random job‐worker mismatches.

There are relatively few prior studies that have examined which employee and employer characteristics are associated with excess worker turnover, and the paper is the first to analyze the phenomenon of churning in the Luxembourg labour market. Luxembourg has recently experienced impressive employment growth (about 3.5 percent annually) since the beginning of the 1990s; and, Luxembourg being a small economy, it was feasible to analyze the entire population of workers and firms.

This study aims to reveal the influencing factors of user churn behavior and explore how these factors influence user churn behavior of rural public digital cultural services (RPDCS), and then, to provide the avoidance strategies for user churn behavior of RPDCS.

Combined with the stimulus–organism–response theory and cognitive load theory, this study constructed a mixed model of user churn behavior. Data collected through online and offline questionnaire survey were tested using the partial least squares structural equation modeling approach, and finally, the authors proposed a user churn behavior model of RPDCS.

The results indicate that the environmental stimulus factors of RPDCS affected user churn behavior via user organism factors. This study suggests that administrators should pay more attention to the information demand of users and strengthen the effective supply of RPDCS. Meanwhile, it is necessary to improve the information literacy of rural users to restrain the user churn behavior and improve the effectiveness of RPDCS.

The research findings on the influencing factors of user churn behavior shed light on the user churn behavior in public digital cultural services, add new knowledge to the construction of the public cultural services system and provide empirical evidence for how to improve the utilization and effectiveness of RPDCS.

This study aims to numerically investigate the multi-phase flow and thermal physics inside gearboxes, which is critical to the theoretical analysis of energy transfer.

To explore the churning power losses, a three-dimensional numerical model of the gearbox is built using the RNG k–e turbulence model and three alternative moving mesh strategies (i.e. the dynamic mesh [DM], sliding mesh and immersion solid methods). The influence of the rotational speed on the transient flow field, including the oil distribution, velocity and pressure distribution and the churning losses, is obtained. Finally, the time-dependent thermo-fluid state of the gearbox is predicted.

The findings show that the global DM method is preferable for determining the flow structures and power losses. The rotational speed exerts a significant effect on the oil flow and the wheel accounts for most of the churning losses. Based on the instantaneous temperature distribution, the asymmetric configuration leads to the initial bias of the high-temperature region towards the pinion. Additionally, the heat convection efficiency of the tooth tip is slightly higher than that of the tooth root.

An in-depth understanding of the flow dynamics inside the gearbox is essential for its optimisation to decrease the power and enhance heat dissipation during operation.

The purpose of this paper is to explore the relationship between frequent turnover (churn) of the chief executive officer (CEO), quality manager and members of the governing board with the management of quality in eight Australian hospitals.

A mixed method three-year longitudinal study was conducted using validated quality system scales, quality indicators and focus groups involving over 800 board members, managers and clinical staff.

There were unexpected high levels of both governance and management churn over the three years. Churn among CEOs and quality managers was negatively associated with compliance in aspects of the quality system used to plan, monitor and improve quality of care. There was no relationship with the quality of care indicators. Staff identified lack of vision and changing priorities with high levels of churn, which they described as confusing and demotivating. There was no relationship with quality processes or quality indicators detected for churn among governing board members.

Governing boards must recognise the risks associated with management change and minimise these risks with robust clinical governance processes.

This research is the first that we are aware of that identifies the impact of frequent leadership turnover in the health sector on quality management.

Challenges the idea of an unconditional and positive influence of knowledge on performance without regard to environmental uncertainty. Focuses on applied process knowledge spanning the supply chain (i.e. considers supplier, internal, and customer sources). A survey of 208 manufacturing firms found the association between applied process knowledge and firm market performance is positive and statistically significant when demand unpredictability is high (but not when low); statistically significant when product churning (uncertainty) is high (but not when low); and not moderated by core production or logistics process change. Firm size and production technology were also controlled. Firms that can determine the moderating effect of the different types of environmental uncertainty they face upon their knowledge‐performance relationship will perform better in terms of market performance indicators.