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This study explores the configurations of management control systems (MCSs) while taking into account entrepreneurial cognition styles (ECSs) in small and medium enterprises (SMEs). The objective is to understand the impact of ECS on deployment and identify the various modes of MCS configurations employed by SMEs. The authors draw on and synthesise two theoretical perspectives relating to cognition and management control packages to understand the associations between ECS and MCS employed by SMEs in managing their business. This study was conducted using a quantitative approach that utilises a questionnaire survey to collect cross-sectional data from 150 SMEs. The authors uncovered three cognitive styles: knowing (e.g. preciseness), planning (e.g. organising), and creativity (e.g. innovativeness). Furthermore, five configurations of MCS utilised by SMEs were identified: customer focus, performance monitoring, administrative focus, strategic focus, and development focus. By combining both analyses, the authors discovered three constellations of significant association between ECS and MCS characterised by Cluster 1’s cohesive integration approach, Cluster 2’s revealing strategic approach, and Cluster 3’s multifaceted exploration. The study is significant because it uncovers the complex relationship between ECS and MCS configurations, highlighting their interdependence within the institutional context. Using a cognitive view, the authors explore how the cognitive styles of entrepreneurs facilitated imprinting institutional context into MCS configurations. These insights enable us to envisage that ECS is not mutually exclusive but forms a continuum that provides more plausible explanations that relax the direct universal relationship between MCS configurations and contextual factors.

The study seeks to explore the intricate dynamics among customer relationship management (CRM) practices, guest satisfaction and loyalty in the hospitality context. Additionally, it aims to examine the moderating influence of guest engagement on the relationships between CRM practices and guest satisfaction and loyalty.

An integrated theoretical framework is developed by incorporating CRM practices and guest engagement into the satisfaction-loyalty framework. Two research instruments were adapted from the literature to assess the perspectives of customers and employees in the hotel industry in Kashmir. The customer survey measured guest satisfaction, loyalty, and engagement, while the employee survey focused on CRM practices, including key customer focus and CRM organization. Data was collected using a pen-and-paper survey with convenience sampling across 10 qualifying hotels, each classified as 3-star or above. A total of 270 matched responses from guests and employees were obtained and analyzed using descriptive analysis, structural equation modeling (SEM), and moderation analysis with SPSS and AMOS software. The study utilized a rigorous data matching process to ensure reliability, with guest-employee pairs verified and cross-checked with hotel records.

The results indicate CRM practices play a pivotal role in shaping guest satisfaction and loyalty. Notably, personalization and a targeted customer approach emerged as the most influential factors in enhancing tourist satisfaction. Similarly, prospecting, personalization, and effective knowledge management significantly contributed to visitor loyalty. The establishment of robust relationships is underscored through collaborative active guest engagement. Furthermore, the study highlights the nuanced relationship between satisfaction and loyalty moderated by guest engagement. High levels of guest engagement amplify the positive impact of satisfaction on loyalty, while lower engagement levels attenuate this effect. Moreover, the moderating influence of guest engagement on the relationships between CRM practices and guest satisfaction and CRM practices and guest loyalty was notably strong at elevated guest engagement levels and relatively weaker at lower engagement levels.

While the study findings encourage organizations to prioritize customer relationship development, hospitality entities must emphasize the adoption of CRM philosophy and robust guest engagement measures. Actively involving guests in co-creating services can yield incremental benefits in terms of attracting, retaining, and effectively serving guests.

This study introduces novel dimensions to the existing CRM framework within the hospitality context, specifically exploring the impact of hotel-specific elements (personalization and prospecting) on customer satisfaction and loyalty. Furthermore, it innovatively investigates the moderating role of guest engagement in the satisfaction-loyalty relationship, expanding its scope to include the relationships between CRM practices and guest satisfaction and guest loyalty.

This study aims to investigate the impact of customers’ delight on the likelihood of frontline employees (FLEs) receiving expressions of gratitude from customers, as well as the subsequent effects on their customer-focused and coworker-focused behaviors. Additionally, it examines how customer orientation moderates the relationship between FLE’s likelihood of receiving customer gratitude expressions and their performance behaviors.

The study used a sample from a Canadian retailer specializing in the sale of artistic and creative materials for artists, crafters and hobbyists. Longitudinal data was collected through a survey administered to frontline employees, unit managers and customers, spanning 7 assessment waves over a 12-month period. In total, the data set comprised 1,609 individual observations and 3,533 customers nested within 35 business units. The hypotheses were tested by using a multilevel longitudinal modeling approach.

This research has yielded important insights. First, significant relationships emerged between enhanced customers’ delight and an increased likelihood of FLEs receiving expressions of gratitude from customers. Second, gratitude expressions received from customers were found to be positively associated with prosocial behaviors toward both customers and coworkers. Third, the findings indicate that the impact of receiving customer gratitude expressions on FLEs’ performance behaviors is more pronounced for employees with a high level of customer orientation.

This study highlights the importance of investing in relationship-building strategies aimed at enhancing customers’ delight. This can motivate customers to express their gratitude toward service employees and to elicit higher prosocial behaviors from employees.

This study offers theoretical insights into gratitude, customer behaviors and employee performance in the retail industry. A pivotal contribution of this study to marketing literature lies in its paradigm shift, redirecting attention from the traditional examination of firm-customer relationships to a nuanced exploration of customer–employee relationships.

This article examines customer satisfaction in using banking services through Artificial Intelligence (AI) in India. It addresses two questions: first, will customers perceive AI technology as a reliable and efficient alternative to traditional banking practices; second, will AI save customers’ time.

The quantitative research method based on regression analysis models was adopted for hypothesis testing, with data collected from a survey of 189 banking customers from four banks, i.e., State Bank of India, Axis Bank, Punjab National Bank, and HDFC Bank in India.

AI improves banking customers’ experiences by making banking more accessible and enjoyable. Satisfied customers are quick to use cutting-edge AI tools. However, human service is more satisfying than digital service. AI has great potential but works alongside humans rather than replacing them. Even though AI’s novel architecture is helpful, human bank tellers are still needed in enhancing customer satisfaction.

AI’s integration in Indian banking, propelled by customer satisfaction, foresees a transformative landscape. This study uncovers AI’s role in saving time and improving customer satisfaction. While AI revolutionizes financial processes, its harmonious coexistence with human expertise emphasizes personalized and efficient services. This study provides insights for optimal AI utilization in shaping the future of banking.

Based on relationship marketing theory, this study aims to test the effect of social customer relationship management (social CRM) on customer satisfaction (CS) and loyalty (CL).

To assess the proposed framework, structural equation modeling was performed on the data of 314 automotive customers surveyed online.

Social CRM dimensions [traditional CRM (TCRM) and social media (SM) technology use] have a direct and positive effect on CS. On the other hand, only TCRM has a direct and significant influence on CL, while the SM technology use effect seems to be indirect rather than direct. Indeed, the findings have provided empirical support for the contention that CS plays a mediating role between social CRM dimensions and CL.

In the automotive sector and developing countries in particular, companies’ managers could increase CS and CL and consequently enhance their competitiveness and market share by adopting an effective social CRM strategy. From this perspective, companies should focus their social CRM campaigns on the most SM used by customers, offer personalized choices and improve customer experience, interaction and value co-creation.

This paper enriches the understanding of how social CRM can affect CS and CL. The scales of social CRM, CS and CL were validated in the context of developing countries and the automotive sector. Furthermore, the direct and mediating effect of CS between social CRM (TCRM and SM) and CL was also confirmed.

Basándose en la teoría del marketing relacional, este estudio pretende comprobar el efecto de la gestión social de las relaciones con los clientes (CRM social) sobre la satisfacción y la fidelidad de los clientes.

Para evaluar el marco propuesto, se realizó un modelado de ecuaciones estructurales sobre los datos de 314 clientes de automoción encuestados online.

Las dimensiones del CRM social (CRM tradicional y uso de tecnología de medios sociales) tienen un efecto directo y positivo en la satisfacción del cliente. Por otro lado, solamente el CRM tradicional tiene una influencia directa y significativa en la fidelidad del cliente, mientras que el efecto del uso de la tecnología de medios sociales parece ser más indirecto que directo. De hecho, los resultados han proporcionado apoyo empírico a la afirmación de que la satisfacción del cliente desempeña un papel mediador entre las dimensiones del CRM social y la fidelidad del cliente.

Este artículo enriquece la comprensión de cómo el CRM social puede afectar a la satisfacción y la fidelidad de los clientes. Las escalas de CRM social, satisfacción del cliente y fidelidad del cliente se validaron en el contexto de países en vías de desarrollo y del sector automovilístico. Además, también se confirmó el efecto directo y mediador de la satisfacción del cliente entre el CRM social (CRM tradicional y medios sociales) y la fidelidad del cliente.

En el sector de la automoción y en los países en desarrollo en particular, los directivos de las empresas podrían aumentar la satisfacción y fidelidad de sus clientes y, en consecuencia, mejorar su competitividad y cuota de mercado adoptando una estrategia eficaz de CRM social. Desde esta perspectiva, las empresas deberían centrar sus campañas de CRM social en los medios más utilizados por los clientes, ofrecer opciones personalizadas y mejorar la experiencia del cliente, la interacción y la cocreación de valor.

基于关系营销理论, 本研究旨在检验社会化客户关系管理（social CRM）对客户满意度和忠诚度的影响。

为评估所提出的框架, 对 314 名汽车客户的在线调查数据进行了结构方程建模。

社交客户关系管理维度（传统客户关系管理和社交媒体技术使用）对客户满意度有直接的积极影响。另一方面, 只有传统客户关系管理对客户忠诚度有直接和显著的影响, 而社交媒体技术使用的影响似乎是间接而非直接的。事实上, 研究结果为客户满意度在社交客户关系管理维度和客户忠诚度之间发挥中介作用的论点提供了实证支持。

本文丰富了人们对社交客户关系管理如何影响客户满意度和忠诚度的认识。本文以发展中国家和汽车行业为背景, 对社会化客户关系管理、客户满意度和客户忠诚度的量表进行了验证。此外, 还证实了客户满意度在社会化客户关系管理（传统客户关系管理和社会化媒体）与客户忠诚度之间的直接和中介效应。

尤其是发展中国家, 企业管理者可以通过采取有效的社交客户关系管理战略, 提高客户满意度和忠诚度, 进而增强竞争力和市场份额。从这个角度来看, 企业应将社交客户关系管理活动的重点放在客户使用最多的社交媒体上, 提供个性化选择, 改善客户体验、互动和价值共创。

As consumer debt can substantially impair subjective well-being, it is crucial for research to gain insights into how consumers can be motivated to improve financial planning. This paper aims to investigate how frontline employees in financial services can help consumers regulate their financial planning behaviors and how financial service providers can effectively support their frontline employees in this effort through leadership and organizational climate.

We incorporate regulatory focus theory and conservation of resource theory to develop a conceptual model that we test in a triadic study with a unique dataset collected from consumers, frontline employees, and managers in the banking sector.

We find that frontline employees must pay attention to the details of consumers’ needs and customize the service to those needs to trigger consumer promotion focus and stimulate consumers’ financial planning behaviors. Moreover, our results emphasize that the organization must act as an integrated entity. Thus, a manager’s servant leadership and an organizational climate of customer stewardship are crucial for frontline employees to transform consumers’ financial planning behaviors.

The study highlights frontline employees’ key role in motivating consumer financial planning behavior, offering a new perspective in transformative service research on enhancing financial well-being.

The findings provide financial service providers with actionable implications for enhancing consumers’ financial planning. This benefits both consumers and financial institutions, as customers with greater spending power can buy more financial products.

This study advances transformative service research on consumer financial planning behavior, which has largely focused on consumer-related or society-level variables, by exploring the role of frontline employees and organizational support in terms of leadership and climate.

This study aims to explore challenges and opportunities in the digitalization of the business-to-business (B2B) customer journey in different buying situations. It also investigates where in the customer journey digital marketing is most efficient.

This research adopts a single case study approach to examine a B2B company that implemented digitalization in its customer journey in different buying situations. Data were collected through semistructured interviews, complemented by internal documents and information from the company’s website and social media, to identify reasons for and against the decision to digitalize the B2B customer journey.

Digitalization can offer firms a cost-effective and value-creating way to interact with customers in a B2B context. The B2B buying situation, however, plays a significant role in decisions on how to implement digitalization. Moreover, in the prepurchase phase, digital marketing is more effective in building awareness; in the purchase phase, personal selling is more effective in addressing customers’ needs.

The use of a single case study cannot produce results directly generalizable to other contexts. However, the findings are applicable to the digitalization of B2B customer journeys in similar industrial contexts.

To successfully implement digitalization in the customer journey, B2B firms should choose digital tools according to different buying situations and phases in the customer journey, segment buyers by their needs rather than individual characteristics and integrate the sales and marketing functions.

This study contradicts prior research that claims that digital marketing can be used in a similar way in both B2B and business-to-consumer contexts. It further shows that the relevant demarcation is not between personal sales and digitalization but between automated digital marketing and individualized personal sales, regardless of medium.

This study aims to apply the predictive processing theory to examine the influence of artificial intelligence (AI)-driven robotic performers on audience emotions and the audience’s resulting electronic word-of-mouth (eWOM) behaviors during tourism service encounters.

Using a quantitative research methodology, survey responses from 339 regular customers of performing arts in tourism destinations were analyzed. The respondents were recruited through Prolific, a professional data collection platform. SPSS 23.0 was used for the preliminary analysis, from which a research model to achieve the aim was proposed. SmartPLS 3 was used for partial least squares structural equation modeling to test the model.

Interactive and novel robotic performances significantly encouraged the consumers to share their experiences online, thereby enhancing eWOM. However, melodic resonance had no significant impact on eWOM intentions. The consumers’ emotional responses fully mediated the relationship of the novelty and interactivity of the performances to the consumers’ eWOM intentions but did not mediate the relationship of the musical elements to their eWOM intentions.

This study enriches the understanding of how AI-driven performances impact consumers’ emotional engagement and sharing behaviors. It extends the application of the predictive processing theory to the domain of consumer behavior, offering valuable insights for enhancing audience engagement in performances through technological innovation.

本研究旨在运用预测处理理论, 考察人工智能（AI）驱动的机器人表演对观众情感及其在旅游服务接触中的电子口碑（eWOM）行为的影响。。

采用定量研究方法, 分析了339名经常观看旅游景点表演艺术的常客的调查问卷。受访者通过专业数据收集平台Prolific招募。初步分析使用SPSS 23.0进行, 从中提出了实现研究目标的研究模型。使用SmartPLS 3进行偏最小二乘结构方程模型测试该模型。

互动性和新颖性的机器人表演显著鼓励消费者在线分享他们的体验, 从而增强电子口碑。然而, 旋律共鸣对电子口碑意图没有显著影响。消费者的情感反应完全中介了表演的新颖性和互动性与消费者电子口碑意图之间的关系, 但没有中介音乐元素与电子口碑意图之间的关系。

本研究丰富了对AI驱动表演如何影响消费者情感参与和分享行为的理解。将预测处理理论的应用扩展到消费者行为领域, 为通过技术创新增强观众参与度提供了宝贵的见解。

Corporate hypocrisy occurs when a discrepancy exists between corporate talk and actions. As companies assume more extensive economic, societal and global roles, they are more likely to encounter situations in which their words and actions are inconsistent. Therefore, a company’s ability to cope with such situations is becoming increasingly important. This study aims to examine the negative effects of corporate hypocrisy on corporate reputation. First, it reveals the underlying mechanisms by presenting corporate trust and affective commitment as parallel mediators. Additionally, it explores how corporate social responsibility (CSR) perceptions mitigate the indirect effects of corporate hypocrisy.

Data were collected through an online survey conducted at two time points in the context of Korean retail banking companies. A total of 313 respondents participated in a two-wave online survey using a multistage sampling technique to ensure a representative population sample. This study used the Mplus-based Hayes’ PROCESS Macro to test the research hypotheses.

The results show that corporate hypocrisy negatively affects corporate reputation by impeding customers’ corporate trust and affective commitment. These negative indirect effects are mitigated when customers’ perceptions of CSR are high.

By establishing a parallel moderated mediation model that captures the impact of corporate hypocrisy. To the best of the authors’ knowledge, this study presents important academic and managerial implications that have not been provided in the literature.

Customers’ proactive helping behaviours involving personal initiative taking may present an effective solution for assisting other customers in avoiding harmful brands. Accordingly, this study aims to propose a model explaining the role of positive psychological capital (self-efficacy and optimism) in influencing customers’ proactive helping behaviours involving personal initiative taking. The study additionally provides greater clarity regarding the moderating effect of emotional self-control within the suggested model.

Survey data were collected from 256 respondents in South Africa, who reported on their perceptions and the degree to which they engage in proactive helping behaviours to assist other customers in avoiding harmful brands. Hypotheses were tested using regression analysis.

General self-efficacy and social optimism influence customers’ proactive helping behaviours. Emotional self-control moderates the indirect effect of general self-efficacy on customers’ proactive helping behaviours through social optimism.

Greater insight is obtained into the interplay between factors representing a positive psychological state and self-control of negative emotions and these factors’ effect on customers’ proactive helping behaviours involving personal initiative taking.

The research extends knowledge of proactive helping behaviours involving personal initiative taking to assist other customers in avoiding harmful brands and subsequently provides a baseline for further research in this regards. Practically, the research is useful to social agents of society concerned with promoting responsible purchasing practices.