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This study aims to predict customer churn in resort hotels by calculating the churn probability of repeat customers for future stays in the same hotel brand.

Based on the recency, frequency, monetary (RFM) paradigm, random forest and logistic regression supervised machine learning algorithms were used to predict churn behavior. The model with superior performance was used to detect potential churners and generate a priority matrix.

The random forest algorithm showed a higher prediction performance with an 80% accuracy rate. The most important variables were RFM-based, followed by hotel sector-specific variables such as market, season, accompaniers and booker. Some managerial strategies were proposed to retain future churners, clustered as “hesitant,” “economy,” “alternative seeker,” and “opportunity chaser” customer groups.

This study contributes to the theoretical understanding of customer behavior in the hospitality industry and provides valuable insight for hotel practitioners by demonstrating the methods that facilitate the identification of potential churners and their characteristics.

Most customer retention studies in hospitality either concentrate on the antecedents of retention or customers’ revisit intentions using traditional methods. Taking a unique place within the literature, this study conducts churn prediction analysis for repeat hotel customers by opening a new area for inquiry in hospitality studies.

The blue and green firms are notable contributors to sustainable development. Similar to other businesses in circular economies, blue and green firms also face financing constraints. This paper aims to assess whether blue and green lending help in optimizing the interest rate spreads and the likelihood of default.

This analysis is based on an unbalanced panel of banks from 20 eurozone countries for eleven years between 2012 and 2022. The key indicators of banking include interest rate spread and a market-based probability of default. The paper assesses how these indicators are influenced by exposure to green and blue firms after controlling for several exogenous factors.

The results show a positive relationship between green and blue lending and spread, while there is a negative link with the probability of default. This confirms that the blue and green exposure positively supports the credit portfolio both in terms of profitability and risk management.

The banking system is among the key contributors to corporate finance and to enable continuous access to sustainable finance, the banking firms must be incentivized. While many studies analyze the impact of green lending, to the best of the authors’ knowledge, this study is among the very few that extend this analysis to blue economy firms.

By providing equal weight to buyers and sellers, the purpose of this paper is to enhance our understanding of the determinants underlying successful mergers and acquisitions (M&As) involving a specific segment of firms involved in such undertakings, i.e., knowledge-intensive innovative and entrepreneurial (KIE) firms.

A multiple case study, based on eight semi-structured interviews with CEOs representing acquirers and the acquired firms, investigates the focal phenomenon this study addresses.

The results suggest that knowledge-intensive, innovative and entrepreneurial firms promote entrepreneurial intentions and allow value creation of M&As through four overarching measures. These are buyer–seller fit, aligned incentives, long-term thinking and perpetual alliance.

The outcomes of this research may have limited generalizable due to the chosen research methodology. Therefore, this study recommends future studies testing the validity of these findings.

The authors have clarified the drawbacks of integration when being involved in M&As with KIE firms. These drawbacks primarily revolved around not eliminating the entrepreneurs’ autonomy and their routines, but it is also partly related to letting them keep their identity (i.e. their brand) as well as retaining employees’ trust in the new owner.

Contrary to most papers, this study has taken an approach giving equal weight to both buyers and sellers. In doing so, this study clarified the drawbacks of integration when it involves M&As with KIE firms.

This study aims to integrate research on customer success (CS) management with the service ecosystems perspective of selling to enhance the understanding of the CS management function and the outcomes selling firms should expect based on implementation of CS management.

The authors apply the service ecosystems perspective of selling to describe how CS management is manifested in practice by offering relevant insights and practical industry examples.

Study findings identify relevant ecosystem actors, acting on behalf of the customer, required for the delivery of desirable customer outcomes. Study findings also link the orchestration efforts of CS managers to theory-based tenets for explanation of how CS management facilitates the attainment of competitive advantages via the thickening and thinning of ecosystem crossing points.

Given that the research is conceptual, additional research that empirically examines this framework and the insights presented would lend further credence to the recommendations the authors suggest.

From a practical perspective, the authors present a “Customer Relationship and Solution Innovation Matrix” which integrates necessary value-creating activities that CS managers perform and the coordination with internal actors that CS managers rely on to create value.

Although the practice of CS management is becoming increasingly common, theoretical approaches capable of explaining the function have been lacking. Similarly, while the service ecosystems perspective redefines selling to encompass a broader set of actors than traditionally examined, practical examinations of the theory are limited. The authors address these issues, integrating both research streams for an enhanced understanding of the CS management function through the service ecosystems perspective theoretical lens.

The purpose of this study is to examine the trends and developments of subscription business models (SBMs) over the past two decades.

The study extracted 469 documents (articles and reviews) from the Scopus database during 2000–2022 and analysed 132 documents (articles and reviews). A bibliometric methodology of scientific mapping was employed, including a cluster analysis based on the bibliographic coupling of documents. Content analysis was also conducted to reveal emerging trends in SBMs.

The study revealed six emerging themes in SBMs related to consumer behaviour, digital advertising, online news media, journal publications, circular economy and sustainability strategies.

The results of this study provide new and unique insights into the development and trends of SBMs over the past two decades and offer guidance for future researchers to investigate further the phenomenon of SBMs in emerging areas.

To minimize customer churn, many service providers offer consumers the option of automatic contract renewal at the end of a contract period. Such agreements are known as rollover service contracts (RSCs). This research quantifies the effect of RSCs and other related factors, such as incentives, on consumers' service choice decisions.

The study adopts choice-based conjoint analysis to assess the effect of RSCs on consumers' choices and to determine whether effect size varies when selecting a cell phone network or gym/leisure club provider, which represent lower-priced utilitarian and higher-priced hedonic services.

It was found that RSCs produce negative perceptions and intended behaviors for the majority of consumers across different product types. Nevertheless, as explained by social exchange theory, many individuals may be persuaded to enter into a RSC on the basis of reciprocity if they are offered an incentive such as a price discount or free product add-on.

In the marketing domain, this is the first comprehensive study to quantify the role of contract type among a range of other factors in consumers' decision-making when selecting a service. The authors' results offer context-specific implications for service marketers. First, RSCs are perceived more negatively in high-priced hedonistic categories, especially among those with lower incomes. Second, price discounts are more effective than product add-ons for motivating hedonic purchases, while product add-ons work better with utilitarian services.

Customer loyalty is of growing interest to many service firms due to the many tangible and intangible benefits it offers them. However, building customer loyalty is challenging for many service firms. This study aims to examine the impact of corporate reputation on customer loyalty. It also assesses the moderating role of the firm's country of origin in this relationship.

Survey research design was used to collect data from 367 universal banks' customers. Data were analysed using structural equation modelling.

The findings shed light on several crucial aspects of corporate reputation that influence customer loyalty. Specifically, signals of corporate social responsibility, corporate credibility, product attributes and relationship marketing were found to have a substantial impact on customer loyalty. Additionally, the study uncovers a noteworthy insight that the firm's country of origin plays a moderating role in the relationship between corporate reputation and customer loyalty, particularly in the context of the banking sector.

This research stands out due to its utilisation of signalling theory, making it one of the pioneering works in the bank brand management literature. It presents a comprehensive corporate reputation framework and its profound implications for customer loyalty. Furthermore, the study underscores the significance of considering the strength of the country-of-origin effect in shaping customer loyalty relationships.

Any banking institution’s success depends heavily on customer satisfaction. Understanding and evaluating customer satisfaction has become crucial with the rise of small finance banks (SFBs) in India, which serve the underserved and unbanking segments of society. In the context of SFBs in India, this chapter aims to examine the variables affecting customer satisfaction as well as how it affects these banks’ overall performance and sustainability. This study will help us better understand the dynamics of customer satisfaction in the Indian financial landscape by examining the particular difficulties and opportunities that SFBs face.

Adopting a self-congruence theory (SCT) and service dominant logic (SDL)-informed perspectives; we develop a model that investigates the interface between social media involvement (SMI), self-brand congruence (SBC), customer-brand engagement (CBE), brand co-creation behavior (BCB), brand interactivity and behavioral intentions (BIN) with luxury service hotel–brands.

We test a sample of hotel-customers to probe this matter using partial least squares structural equation modeling.

The results revealed that SBC and SMI positively impact CBE and BCB and behavioral intentions. The findings also exposed SMI’s and SBC’s indirect effect on customers' BCB and behavioral intentions, mediated through CBE. Finally, the results explored the moderating role of brand interactivity to enhance our model’s explanatory power.

We focus on SMI, CBE and BCB. This study contributes to the existing marketing and hospitality management research and spawns rich opportunities for further studies.

The study article assists marketers in comprehending the CBE-based antecedents and consequences and facilitates their increasing CBE, BCB and behavioral intentions.

While the growing insight into social media, customer engagement and co-creation within the service industries, little remains accredited concerning the link of these and related variables in the luxury hotel-brand context.