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As per the tenets of Service-Dominant Logic theory, consumers play an incessant role as proactive participants and collaborative stakeholders within commercial transactions. This orchestrated involvement of consumers in the process of service production enables service providers to discern and address consumer's needs, thus fortifying their competitiveness. As a result, consumers benefit from heightening service performances and competitiveness of the company. The principal aim of this study is to ascertain the foundational underpinnings of value co-creation behavior, particularly as exhibited within the context of utilizing gym services at the California Fitness Center located in Ho Chi Minh City, Vietnam. A comprehensive investigation encompassing a sample size of 315 respondents was conducted using SPSS and AMOS software. The findings of this investigation establish a robust linkage between customer participatory behavior, customer citizenship behavior, and the premise of customer co-creation conduct. However, it is noteworthy that the factor of information-seeking within customer participation did not garner empirical support. Notably, there is a relationship between active co-creator behavior and customer loyalty.

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The aim of this work is to shed light on the characteristics and relationship between customer loyalty and publications by the companies on social networks; it has been undertaken with the aid of an exhaustive review of previous studies from 1994 up to the present time. The purpose of the research is to generate a model that can tackle the practical characteristics of the publications on social networks to encourage loyalty. With a view to this, a model is developed that is an extension of the traditional "Four Stage Loyalty Model" based on other constructions of the same model, and combined with the characteristics of social networks publications defined in earlier literature. This reflexive approach is particularly important here due to the fact that companies have to be closer to customers' requirements and customers have the option to choose from which type of communication they wish to be the object.

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Despite significant growth in sales in recent years, retaining customers remains a major challenge for the electronic marketplace (e-marketplace) industry worldwide, including Indonesia. The small basket size of Indonesian customers has created a highly price-sensitive market, making it difficult to nurture customer loyalty. This study investigates the factors affecting consumer behavior and loyalty in Indonesian e-marketplaces by employing a newly proposed E-Marketplace Customer Loyalty Model. Since customers' expectations have extended from mostly utilitarian-oriented goals to incorporate hedonic goals, the proposed model includes both utilitarian and hedonic-based constructs by integrating the Expectation-Confirmation Theory, e-service quality, and the Hedonic Information Systems Model. The proposed model was tested using a comparative approach of machine learning classification algorithms and partial least square, aiming to create a more robust model. The PLS analytical results of ECLM hiearchical component model from 678 customers show that the fulfillment of hedonic values via perceived enjoyment has a greater impact on customer satisfaction than utilitarian values of perceived service quality. Perceived enjoyment, personalization, and customer satisfaction positively affect customer loyalty. The classification results provide further evidence for all hypothesized relationships of the ECLM. The Sequential Minimal Optimization (SMO) algorithm has demonstrated superior performance compared with other classifiers in predicting the dependent variable in most cases. Based on findings, this study offers theoretical and practical implications, and recommendations for sustainable loyalty programs in e-marketplaces.

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This study aims to determine whether and how investing in corporate social responsibility (CSR) practices results in better attitudinal and behavioral loyalty. It seeks to comprehend the path linking CSR and customer loyalty through customer-company identification (C-CI), trust, and satisfaction as mediators. Partial least squares (PLS)-based structural equation modeling was applied to examine the theoretical model using SMART PLS. The data were collected through online questionnaires from 385 customers of Morocco's three-, four- and five-star hotels. The results conclude that CSR practices significantly contribute to customer loyalty through the mediating components of C-CI and trust. Surprisingly, unlike previous studies, the influence of CSR on customer satisfaction is insignificant. CSR influences customer satisfaction only through C-CI and trust. Moreover, the relationships between mediators, rarely explored by previous researchers, revealed that C-CI contributes to trustworthiness and customer satisfaction. Trust can also generate customer satisfaction.

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This article provides a sample of survey data collected by the American Customer Satisfaction Index (ACSI). Using online sampling and stratified interviewing techniques of actual customers of predominantly large market-share ("large cap") companies, the ACSI annually collects data from some 400,000 consumers residing across the United States for more than 400 companies within about 50 consumer industries. For this article and the data depository, consumers' perceptions of their experiences with individual companies included within four consumer industries as defined and measured by ACSI - processed food, commercial airlines, Internet service providers, and commercial banks - are included in the dataset. These industries were chosen to represent and illustrate a cross-section of data from differentiated sectors, not because they are representative of the larger economy or larger ACSI dataset per se. The survey items reflect a diverse array of customers' perceptions regarding prior expectations, perceived quality, perceived value, customer satisfaction, complaint behavior, and customer loyalty. These are also the core latent factors modeled in the so-called ACSI model since 1994. The ACSI model is continuously analyzed using a proprietary and patented Partial Least Squares structural equation modeling approach (PLS-SEM). Detailed firm- or brand-level results from the ACSI data are used by individual companies for strategic organizational decision-making and in the aggregate to forecast trends in the U.S. national economy. ACSI data have been analyzed in thousands of peer-reviewed academic and practitioner journal articles.

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This data article focuses on a complex path model to explain and predict the relationships between dimensions of corporate reputation, relational trust as well as customer satisfaction and loyalty. The sample was collected in Germany in 2020 with German bank customers above the age of 18 via an official market research institute located in Cologne, Germany (Respondi). The German bank customer data were collected using an online survey that was programmed using the software SurveyMonkey. The subsample described in this data article comprises 675 valid responses and the data analysis was performed applying the SmartPLS 3 software.

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This paper determines the antecedents of trust (i.e., perceived ease of use [PEoU], privacy concerns [PC], perceived security [PS], product variety [PV], and on-time delivery [OD]) and customer loyalty (CL) in online retailing. A questionnaire was developed using scales validated in prior e-commerce studies to measure these factors in the conceptual model. Data were collected in an online survey from a non-probability judgement sample of online shoppers between the ages of 18 and 65 years old, who provided informed consent for participation in the survey. Data were analysed via structural equation modeling (SEM) on AMOS version 28. The ethical approval certificate was issued by the College of Business and Economics Research Ethics Committee (CBEREC). The results indicate that customer trust (CT) in online shopping relies on OD, PS, PV, and PEoU, but not PC. CT, followed by OD and PV, significantly impacts CL. The results show that trust mediates the relationship between OD, PS, and PV, and CL. Online shopping experience and e-shopping spending significantly moderate the impact of PV on trust. The impact of OD on CL is significantly moderated by the online shopping experience. This paper validates a scientific approach to coexisting effects of these key forces that e-retailer practitioners can use to gain trust and build CL. Research that validates this valuable knowledge is absent in the literature, as the factors were measured disjointedly in prior studies. This study offers originality by validating these forces in online retailing in South Africa.

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The quality of cloud service is an important aspect to the success of any global business in today's world. The objective of this paper is to find the factors of the cloud service quality and assess the impact of service quality on customer satisfaction and loyalty. A survey of 419 cloud experts/users was conducted in India by means of an organized survey instrument/questionnaire based on Likert scale. The respondents were the cloud experts/users using the services of top 5 cloud service providers of India. Research hypotheses were tested using partial least squares structural equation modeling. The study found that agility, assurance of service, reliability, scalability, security, service responsiveness, and usability all have a positive and significant effect on overall cloud service quality. The research revealed the partial mediation effect of customer satisfaction amid service quality and customer loyalty. It is noticed that service quality has positive and significant link with customer loyalty and customer satisfaction. This establishes the partial mediation effect of customer satisfaction on the link between service quality and customer loyalty. Finally, the paper recommends cloud experts/users/service providers to give specific attention to these factors when migrating to cloud services.

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Corporate reputation is crucial for maintaining and enhancing a company's competitiveness in the marketplace. To actively manage this important intangible asset, which significantly contributes to a company's value, managers need to understand the relationship between reputation and its antecedents and consequences. The dataset presented in this article stems from a conceptual replication of a seminal model of corporate reputation, its antecedents and effects on customer satisfaction and loyalty. Potential mediators and moderators in these relationships allow us to extend the original model in order to clarify the mechanism through which corporate reputation impacts satisfaction and loyalty. We document some of the model's main effects using partial least squares structural equation modeling (PLS-SEM).

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At present, customers' low satisfaction and loyalty to city express service have restricted the development of city express. It is particularly important to analyze the factors causing customers' low satisfaction and loyalty, which will promote the development of city express industry effectively. Based on SERVQUAL model and CCSI model, this paper constructs a new evaluation index system from the perspective of service quality. Through this new system, this paper first explores the factors that affect customers' satisfaction and loyalty, respectively, by fuzzy analytic hierarchy process (AHP) and hierarchical regression analysis, taking the expected and perceived service quality as conversion variables. And then it analyzes the common factors that affect customers' satisfaction and loyalty comprehensively. These two analyses will provide reference for solving the problem of low customer satisfaction and loyalty of city express enterprises. The results show that popularity and credibility, delivery time commitment, and mailing security are the common main factors affecting customer satisfaction and loyalty. Easy-to-understand receipts, the three-level index corresponding to the empathy dimension, is the most significant factor affecting customers' loyalty in city express industry; Delivery time commitment, the three-level index corresponding to the reliability dimension, is the most significant factor affecting customers' loyalty in city express industry.

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This study examines how shop managers' attitudes toward customers are transferred to sales employees, and thus affect customer performance. We surveyed shop managers, sales employees, and customers in five department stores in Seoul, South Korea, in June 2021 to determine the relationships among service orientation, customer orientation, customers' perceptions of sales employees' authenticity, and customer performance. We found that sales managers' service orientation positively influences sales employees' service and customer orientation. Furthermore, this orientation positively correlates with customers' perceptions of sales employees' authenticity, thereby improving service performance and customer loyalty. Few studies have examined how institutional-level capacity and attitudes influence employees within organizations and how this, in turn, affects service performance. Thus, this study theoretically and empirically explores how sales managers' attitudes and sales behaviors are transferred to sales employees and how this affects customer performance. The research findings fill a gap in the current understanding of customer performance in the service industry.

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Customers' declining receptivity to conventional marketing tools has been a challenge for convenience stores. To overcome this, retailers are turning to social media as a new, potent marketing tool for creating business prospects and encouraging direct customer interaction. However, it is still unknown how social media marketing affects the shifts in customer behavior. This paper expands on the relationship of "loyalty program (LP) + virtual community experience → perceived value → customer loyalty" in the traditional convenience store scenario, refining the variables of virtual community experience, perceived value, and customer loyalty. It also compares the effectiveness of different LP design structures (reward amounts × reward time limits) and explores the mediation impact of program loyalty and the moderation effect of alternative attractiveness. The results demonstrate the superior performance of LPs with an expiry policy and differential returns and highlight the importance of enhancing members' virtual community experiences in fostering customer perceived value and loyalty. The results also show the minor negative moderation impact of community group buying and prove that emotional value significantly impacts customer loyalty. Still, the social value does not affect program loyalty. The recommendations are offered, such as designing growing-oriented and periodical zeroing LPs, as well as using new social media marketing tools (virtual community-based marketing) to empower traditional marketing techniques (LP-based relationship marketing) and constructing a "convenience store + community group buying" model. The findings have substantial theoretical and practical implications for traditional convenience stores in properly implementing loyalty and social media marketing tactics to maximize customer value and loyalty with a limited budget.

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The present study investigates the factors affecting consumer repurchase intentions in retail stores. More specifically, it emphasizes on the concept of in-store customer shopping experience. In that direction, a new conceptual framework (research model) is developed and empirically tested, using primary data collected from retail store customers. The proposed model includes twelve research factors that are classified into three dimensions (groups): six independent factors (antecedents), five mediating factors and repurchase intention (dependent factor). In more detail, the study examines the antecedents of customer behavior, which constitute the in-store customer shopping experience (Physical environment, Interior shop environment & layout, Interaction with the staff, Interaction with other customers, Merchandise value/quality, Merchandise variety). It argues that the effect of the antecedents on repurchase intention is indirect, mediated through five other factors (mediators) (Customer experience, In-shop emotions, Perceived value, Customer satisfaction, Customer loyalty). Under that context, eleven research hypotheses were tested, using the Structural Equation Modeling (SEM) technique. The final sample includes 618 retail store customers, who participated in a web-survey. Results offer support for the underling mechanism of the proposed research model, arguing that antecedents significantly affect the mediators, which, in turn, affect the repurchase intention of retail shoppers. Results indicate that in order to have more return customers, retailers should enhance their interior shop environment and layout and increase the value of their merchandise. The originality of the study lies in its three-dimensional approach. It offers an understanding about the mechanism that impacts repurchase intentions, an approach lacking in the relevant literature. Moreover, it focuses on all kinds of retail stores, offering wider generalizability of its empirical findings. Also, it examines in-store emotions and experience of customers inside a store, two factors which very seldomly have been investigated in the context of physical retail stores.

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Rural homestay is an important driver for developing rural tourism, which still grows against the wind in the post-epidemic era of the COVID-19 virus and shows unique attributes that are different from those of the traditional hospitality industry. Based on the five-dimensional model of fine service theory, this study introduces culture as a unique dimension to construct a six-dimensional model of rural homestay fine service and explores the influencing mechanism of rural homestay fine service on customer loyalty. This study successively used expert interviews and questionnaires to develop the structural equation model through SPSS 26.0 and AMOS 24.0. The results showed that culture, as a unique attribute of rural homestay, is another important factor influencing the level of rural homestay fine service besides privacy, responsiveness, empathy, comfort, and psychological quality. Customer emotion of rural homestays significantly impacts customer loyalty and fully mediates the relationship between fine service and customer loyalty. This study verifies the effectiveness of fine service theory in the research of rural homestay good service and provides a new measuring tool, which has the potential to enrich and develop the exploration of fine service.

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With the increasing growth of online shopping, businesses are intertwining to establish new shopping antecedents. Customer experience has steadily become the most important source of retailers' long-term competitive advantage via difference. To preserve long-term and sustained consumer loyalty, retailers must continually improve the customer experiences. This study presents a framework for online retailing in a digital environment called the Online Customer Experience-Engagement Context model in the presence of value co-creation (VCC). Data was gathered from 189 people who purchased products online. For additional analysis, testing the hypothesis, and model construction, SPSS 26 and Smart-PLS were used. The data was then evaluated further using descriptive statistics, path analysis, measurement, and structural model. The findings show that the online customer experience (measured as shopping environment, shopping procedure, staff service experience, and product experience) substantially influenced customer engagement, which improved customer loyalty. The VCC strengthened the link between online customer experience and customer engagement. It suggests that including consumers in co-creating a delightful online customer experience from time to time may be a valuable strategy for online retailers to increase customer engagement and loyalty. To create an overarching outcome, information integration theory (IIT), multi-attribute utility theory (MAUT), and the attitude-behavior-context theory (ABC) theories are converged to explain the proposed model in the study.

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In recent years, minsu (homestays), a non-standard tourist accommodation, have been gaining popularity in China. The minsu has become an innovative driving force promoting the transformation of tourist destinations. This paper attempts to explore the relationship between the minsu's environment (ambience) and customer loyalty, as customer loyalty is crucial to the sustainability of minsu and tourism destinations. This paper adopts Lijiang, China, as an empirical example to explore the relationship between the multi-dimensional environment of minsu and its influence on customer loyalty. Findings include: (1) the multi-dimensional environment perception of minsu includes spatial, cultural and social environment perception, all of which have a significant positive impact on emotional experience in varying degrees; (2) the emotional experience of minsu guests plays a significant mediating role between the minsu's environmental perception and loyalty; (3) personality traits of openness, agreeableness and conscientiousness play a moderating role in the impact of residential space environment perception on emotional experience. Using the S-O-R model, this paper introduces emotional experience and personality traits into the relationship model between the minsu's environment perception and customer loyalty and contributes to extant literature on the influence of customer loyalty in tourist destinations. The theoretical and practical implications are discussed.

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The purpose of this research is to investigate the effectiveness of Digital Content Marketing (DCM) on a Mixed Reality (MR) training platform environment with the consideration of online purchase intention (OPI) through social media. E-commerce today encounters several common issues that cause customers to have reservations to purchase online. With the absence of physical contact points, customers often perceive more risks when making purchase decisions. Furthermore, online retailers often find it hard to engage customers and develop long-term relationships. In this research, a Structural Equation Model (SEM) is proposed to examine the efficacy of DCM from both immediate and long-term OPI. The results examine whether adopting DCM on an MR training platform environment through social media brings positive results in OPI. Empirical research was carried out through online questionnaires collected in 2021 and 2022. A total of 374 questionnaires were qualified for data analysis in this study, conducted with IBM SPSS and AMOS. The results imply that DCM is critical to stimulating both immediate and long-term OPI. The immediate OPI is positively affected by increasing perceived value through MR in DCM. Regarding the long-term OPI, increased customer engagement with DCM under MR environment can cultivate brand trust and significantly affect the long-term OPI.

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The accelerating growth of virtual reality (VR) technology and evolving customer needs make multifarious challenges and opportunities for service industries. Based on the Technology Acceptance Model (TAM) and Theory of Affection Responses, we explored the key drivers of customer loyalty in virtual reality-enabled services through a large-scaled survey data collected from VR users in four major cities of Pakistan. The study employs the partial least squares structural equation modeling (PLS-SEM). We verified that the authenticity of the VR experience and TAM dimensions (ease of use, usefulness of VR) are the key drivers of customer loyalty béhavioral in VR-enabled services. Furthermore, results revealed that Affective responses (i.e., enjoyment, emotional involvement, and flow state) significantly mediated the relationships between the drivers and customer loyalty (continued use, recommendation, and willingness to pay premium). Implications for researchers and VR practitioners were also provided.

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This study explores how the perceived co-creation values (PCVs) from tourists' perspectives are applied in the customized tour arrangement service setting. The sequential qualitative and quantitative methods are adopted for this study. The initial qualitative method in terms of the proactive semi-structured interview is conducted to identify and explore the dimension of the PCV construct and to develop its measurement scale. The quantitative method by the structure equation model is employed for the proposed conceptual model fitness assessment and consolidation. Our work contributes to the progression of value co-creation research in a customized tourism context and provides a valid and reliable PCV instrument to tourism practitioners for a better service platform designing. The mediating role of customer satisfaction (CS) between PCV and customer loyalty (CL) offers service providers a deeper understanding of customer psychology and behavior, and thus, the loyal customer cultivation strategy.