The Customer Loyalty vs. Customer Retention: The Impact of Customer Relationship Management on Customer Satisfaction

Abstract

In this competitive world, companies should sustain good relationships with their consumers. CRM (customer relationship management) program can improve the company’s customer satisfaction; to satisfy customer need different processes and technique are established to make the CRM more effective. This research is proposed to determine the relationship between customer loyalty and retention. Also, this research examines the impact of Customer Relationship Management (CRM) on Customer Satisfaction. The target population of this study is customers of the tourism industry in India ( $n = 300$ ). Then, regression analysis is carried out in order to discover the link between the variables. This study result shows that service quality and employee behavior of customer need and satisfaction with the effect of different significant of positive relation of both the variables. To make the customer satisfied and to retain their company the CRM should be strong and reliable with the consumers. CRM plays a vital role in increasing market share, high productivity, improving in-depth customer knowledge, and customer satisfaction to increase consumer loyalty to the company to have a clear view of who is their customer, what are the need of their customer and how can satisfy their needs and wants their customers.

Keywords

Customer relationship management customer satisfaction customer loyalty customer retention regression analysis

1. Introduction

Customers are situated at both the beginning and the conclusion of the value chain in a globalized commercial environment like the one that currently lives in [3]. The ability of businesses to take opportunities and find novel ways to satisfy customer expectations, and thereby transform the world in general and the market in specific because of the unstoppable process of digital transformation, is one of the greatest values that economic growth offers in such a context [27]. Customers now have more access to information and the opportunity to purchase goods and services that are supplied even outside of national borders as a result of globalization [31]. This indicates that consumer requirements, wants, and expectations are evolving and becoming more demanding, which has made the market so dynamic that only businesses that can adapt to this dynamism survive [8,25]. Investment in innovation and development is required for this, as well as having an entrepreneurial mindset that is open to spotting and seizing new chances and means of meeting those wants, desires, and expectations.

Customer relationship marketing (CRM) has particularly shown to have a significant impact in these areas. High-quality client communication is essential for successful customer relationship management. Without individualized consumer communications, firms will find it difficult to market to, sell to, or support clients. An organization’s success or failure rests on its ability to build and sustain relationships with the public that are mutually advantageous for both entities. In recent decades, Customer relationship management has become the most extensively used strategy and management tool in terms of a tool designed and focused on managing effective marketing strategies through the management of customer relationships [19]. CRM also consistently and efficiently manages information and actions directed at the customers, which is crucial in the sector of business [12,13]. The advent of customer relationship management methods, which are primarily intended to build and manage long-lasting client connections, has been one of the most significant advancements in marketing [23]. The process of developing a relationship between a company and its consumers enhances lifetime value and boosts profitability in the modern day, where businesses must contend with a dramatically changed landscape [32]. In this perspective, the promotional relationship is not just a tool but also a method of effective CRM to maintain their strategy in the measurement of different attitudes and the intentions of customer retention and profitability in this competitive market.

Due to the high level of market uncertainty, top management has experienced challenges in retaining employees [4]. Numerous studies highlight managers’ inability to increase customer loyalty and profits, although this is still attributable to a lack of research [9]. They were unable to identify the aspects that increase customer loyalty [29]. Because of the management’s inadequate policies and plans, the customers’ poor reputation, and the final product’s unsatisfactory quality [33]. Due to a lack of management attraction with customers, organizations generally don’t care enough about the needs and wants, attitudes, and trends of their customers [16]. As a result, many businesses have lost their existing consumers and are unable to find new ones. Strong relationships with customers may be used to acquire new consumers and keep them for the long run. However, managing great relationships alone is insufficient to please customers and win their continued commitment. To maintain satisfaction and loyalty in the modern period, a company’s reputation must be improved. Studies have, however, hardly ever examined this period in rising economies. In this study, customer happiness serves as a mediating factor as we analyze the significance of CRM and brand reputation in promoting tourist loyalty. This study assists businesses in increasing profitability by increasing visitor loyalty.

Quality improvement is seen in the service domain to assist in producing high customer happiness, which influences the purchase intention [15] of associated services. To increase satisfaction with consumers, organizations focus on issues relating to service quality [20]. The organizations involved in tourism are concerned about problems with service delivery and quality. A memorable customer experience is provided through high-quality services. The popularity of a company is determined by a variety of variables such as service quality, support systems, infrastructure, and an efficient supply chain. The research in this paper measures customers’ responses to the factors that lead to customer loyalty. The characteristics of service quality are used to examine their impact on customer satisfaction, which may increase a client’s loyalty to a service provider.

Therefore, the research study will examine several ways and approaches for setting up an efficient CRM to ensure customer retention and loyalty. The goal of the study was to determine whether customer relationship management (CRM) is effective at luring and keeping customers. This study demonstrates a favorable association between both variables and a considerable impact of customer relationship management on customer loyalty. Customers will be more satisfied and stay with the firm if the company builds robust and dependable Customer relationship management.

1.1. Research contribution

In today’s global business market, including the tourism industry, customer relationship management is essential. Success and profitability in the tourism sector depend on an organization’s capacity to consistently attract, keep, and satisfy customers while ensuring that those customers stick around. How well businesses understand their guests will determine how well they perform. The eventual objective of customer relationship management strategies in the tourism sector is to retain existing customers by building strong connections with them, acquiring new customers, and identifying target customers. Customers’ satisfaction will increase as a result of these growing interactions with them, and this will in turn result in more loyal consumption. Therefore, understanding the key components of customer relationship management that might result in customer satisfaction is a crucial issue for the tourism industry, especially given the intense competition among such organizations. Therefore, the goal of the current research is to examine how customer relationship management affects customer satisfaction as well as how satisfied consumers tend to be more loyal and use retention strategies.

1.2. Research objective

The leading aim of this effort is to recognize the role of key client association organization component that impacts purchaser satisfaction.

The other objectives are mentioned below;

1. To explore the relationship that exists between customer loyalty and customer retention.

2. To examine how customer relationship management strategies affect customer loyalty and customer retention.

3. To determine how customer satisfaction enhances strategies for retaining customers and fostering loyalty.

1.3. Research question

The research questions are developed in accordance with the above objectives and they are listed below:

RQ₁: Do customer relationship management strategies affect customer satisfaction?

RQ₂: Is there any relationship exist between customer loyalty and customer retention?

RQ₃: How does customer happiness improve methods for attracting customers returning and encouraging loyalty?

The remaining part of this work has a literature review analysis with a few recent existing journals in Section 2, research objectives, research hypothesis, and research methodology details in Section 3, analysis and result evaluation in Section 4, and finally limitations and conclusion in Section 5.

2. Literature review

The CRM has a literature of different components with several considerable bodies. An event series is organized by CRM. In the context of this study, the CRM has clustered together in the form of action which constitutes the study. The CRM comprises a conceptual model of different. CRM is identified with seven different components: a) customer quality, b) customer orientation, c) employee behavior, d) value proposition, e) communication management, and f) public relationship management. Table 1 shows the existing related paper.

Table 1
Review analysis

[Citation] Research design Objective Findings Limitation

[18] Qualitative study To analyze the impact of customer relationship management (CRM) and sort status on utilization, with customer satisfaction serving as a bond between tiny and medium-sized businesses. ∙ Customer devotion is positively and much impacted by customer relationship management (CRM) and company status. ∙ This study is limited to concentrating on two cities.

[5] Quantitative study To analyze the social customer relationship management (CRM) effects on customers’ involvement ∙ Perfect customer relationship management performance in customer engagement. _

[6] Quantitative survey To explore the effects of marketing strategies, and knowledge exchange on managing customer relationships. ∙ Marketing strategies enhance customer relationships through knowledge exchange in a beneficial way. ∙ The study was carried out in Punjab, Pakistan’s pharmaceutical industry.

∙ The findings of the research, KS, and IT support are among the primary factors that have a favorable impact on CRM.

[24] Quantitative analysis To examine the retail app user experience and customer loyalty. ∙ Customer satisfaction’s relationship to the relational dimension. ∙ The sample consists of Spanish users who took part in a non-probabilistic approach.

[2] Quantitative analysis To demonstrate the customer retention and service levels in Ghana’s hotel industry. ∙ Customer pleasure and contentment with service have both greatly increased. ∙ Non-probability sampling is used in the course of research.

∙ Users should be compensated accordingly as the analyzed hotels are all in Accra, the nation’s capital, thus limiting the opportunity for expansion.

[17] Qualitative analysis To investigate the surge pricing’s effects on retaining customers ∙ Customer pleasure does not necessarily help with customer retention. _

[26] Quantitative analysis To analyze the impact of store brands in the service marketing mix on service quality and customer retention. ∙ Customer loyalty is considerably increased both directly and indirectly by the service marketing mix. ∙ The study outcome was limited to internal responses only.

[30] Quantitative analysis To examine the customer retention accomplished through satisfactory service ∙ Technologies for mobile marketing that significantly impacted overall service quality ∙ The study used a cross-sectional research approach to evaluate consumer perceptions of service quality and their intent to recreate M-Comm.

∙ The usage behavior itself should be used to investigate how M-Comm attributes influence the usage behavior.

[21] Quantitative research method To define the potential improvements of e-marketing within the tourism industry ∙ E-marketing tools used in the Lithuanian tourism industry are effective _

[22] Qualitative approach To observe the bond of customer management with the Chilean affairs of public officers. ∙ There is considerable worry about public trust which leads to the delay of transparency which affairs in the public field in Chile. _

[Citation]	Research design	Objective	Findings	Limitation
[18]	Qualitative study	To analyze the impact of customer relationship management (CRM) and sort status on utilization, with customer satisfaction serving as a bond between tiny and medium-sized businesses.	∙ Customer devotion is positively and much impacted by customer relationship management (CRM) and company status.	∙ This study is limited to concentrating on two cities.
[5]	Quantitative study	To analyze the social customer relationship management (CRM) effects on customers’ involvement	∙ Perfect customer relationship management performance in customer engagement.	_
[6]	Quantitative survey	To explore the effects of marketing strategies, and knowledge exchange on managing customer relationships.	∙ Marketing strategies enhance customer relationships through knowledge exchange in a beneficial way.	∙ The study was carried out in Punjab, Pakistan’s pharmaceutical industry.
∙ The findings of the research, KS, and IT support are among the primary factors that have a favorable impact on CRM.
[24]	Quantitative analysis	To examine the retail app user experience and customer loyalty.	∙ Customer satisfaction’s relationship to the relational dimension.	∙ The sample consists of Spanish users who took part in a non-probabilistic approach.
[2]	Quantitative analysis	To demonstrate the customer retention and service levels in Ghana’s hotel industry.	∙ Customer pleasure and contentment with service have both greatly increased.	∙ Non-probability sampling is used in the course of research.
∙ Users should be compensated accordingly as the analyzed hotels are all in Accra, the nation’s capital, thus limiting the opportunity for expansion.
[17]	Qualitative analysis	To investigate the surge pricing’s effects on retaining customers	∙ Customer pleasure does not necessarily help with customer retention.	_
[26]	Quantitative analysis	To analyze the impact of store brands in the service marketing mix on service quality and customer retention.	∙ Customer loyalty is considerably increased both directly and indirectly by the service marketing mix.	∙ The study outcome was limited to internal responses only.
[30]	Quantitative analysis	To examine the customer retention accomplished through satisfactory service	∙ Technologies for mobile marketing that significantly impacted overall service quality	∙ The study used a cross-sectional research approach to evaluate consumer perceptions of service quality and their intent to recreate M-Comm.
∙ The usage behavior itself should be used to investigate how M-Comm attributes influence the usage behavior.
[21]	Quantitative research method	To define the potential improvements of e-marketing within the tourism industry	∙ E-marketing tools used in the Lithuanian tourism industry are effective	_
[22]	Qualitative approach	To observe the bond of customer management with the Chilean affairs of public officers.	∙ There is considerable worry about public trust which leads to the delay of transparency which affairs in the public field in Chile.	_

Table 1

(Continued)

[Citation]	Research design	Objective	Findings	Limitation
[10]	Quantitative analysis	To analyze the drivers of customer-based company reputation.	∙ Corporate reputation and loyalty have a good association.	_
[14]	Quantitative analysis	To focus on the hierarchically mediate functions of customer satisfaction and loyalty, researchers established the effects of CRM practices on organizational performance.	∙ CRM practices had a favorable impact on organizational performance.	∙ The study was cross-sectional and was unable to address difficulties connected to time, so its findings and conclusions might not be applicable in the future.

2.1. Existing literature works

In 2020 Rizwan Ullah Khan et al., [18] examined the effects of customer relationship management (CRM) and brand reputation on usage, with customer satisfaction serving as a bridge between small and average-sized businesses in the Pakistani context. Information was gathered from operationally registered businesses in Islamabad and Rawalpindi, and it was then confirmed by the Small and Medium-sized Enterprise Growth Authority. With the collected data they performed a structural model. The findings showed that customer relationship management significantly affects customer loyalty.

In 2021 Lokesh Arora et al., [5] investigated the impact of social customer relationship management on consumer engagement. They also explained the impact of consumer engagement on customer loyalty, customer retention, and customer satisfaction. The questionnaire was created to be self-administered to achieve the stated goals and gathered data from a diverse group of respondents. They performed structural equation modeling through the collected data. The result revealed that consumer engagement occurs through suitable customer relationship management, producing customer loyalty, customer retention, and customer satisfaction.

In 2020 Muhammad Azeem et al., [6] assessed the impact of marketing tactics, information technology support, and knowledge sharing on customer relationship management in Punjab, Pakistan’s pharmaceutical industry. They conducted the online survey and gathered information from the 263 respondents with the force of international and national pharmaceutical companies. With the gathered information they performed an incomplete least square structural equation model. The outcome indicated that the relationship between marketing strategies and customer relationship management is mediated by technology support and knowledge sharing.

In 2022 Sebastian Molinillo et al., [24] evaluated the relationship between the customer’s retail app experience and customer loyalty. They conducted a web-based survey and gathered data from the 545 retailer app users. The collective information is gone through the structural equation of least square. The findings show that the affective dimension has the greatest impact and emphasizes the significance of the sensory experience, which is even more significant than the cognitive experience.

In 2021 Peter Anabila et al., [2] analyzed the connection between customer loyalty and service quality. Also, they examined the mediate outcome of customer satisfaction and customer delight. They conducted the survey and collected data from the 313 customers of luxury hotels in Ghana and they conducted modeling of equation in partial least square. The findings reveal that service quality significantly improved both customer satisfaction and customer delight.

In 2020 Kun-Huang Huarng et al., [17] investigated the relationship between customer satisfaction and customer retention as well as the way satisfied consumers respond to surge pricing. They gathered data from a group of executive MBA students in Taiwan and the proposed fuzzy set analysis. The findings indicate that committed customers may tolerate surge prices better than non-customers. The findings indicated that committed customers may tolerate surge prices better than non-customers. Additionally, they suggested that customer retention is not always positively impacted by customer satisfaction.

In 2021 Bestoon Othman et al., [26] analyzed the effect of service marketing mix store brands on service quality and client retention of clothing store brands in China. They prepared a questionnaire and gathered data from the 385 respondents. With the collected data they used structural equation modeling with partial least squares. The results indicated that the service marketing mix significantly improves customer loyalty both directly and indirectly through Service Quality.

In 2022 Anas A. Salamah et al., [30] examined the impact of mobile commerce service quality factors on the perception of satisfaction and loyalty. They gathered data through a survey of Jordanian adults from January 2020 to April 2020. Through the collected information they performed SEM-neural network analysis (structural equation modeling). The outcome demonstrated that the three key mobile commerce platforms that had a significant impact on overall service quality were websites’ innovation, the value of their content, and their usability.

In 2020 Daiva Labanauskaitė et al., [21] defined the potential improvements of e-marketing within the tourism industry through the characterization of the importance of tourism innovation, and evaluation of the key e-marketing communication tool preferences from the point of view of Lithuanian tourism users. Overall, 384 tourists were surveyed to realize the study idea. Results show the e-marketing gear used in the Lithuanian sightseeing business is efficient, although, there is a strategy that is not entirely ready or not second-hand at all.

In 2019 Claudia Labarca et al., [22] examined the relationship management function of public affairs officers in Chile. In Santiago, the interviews are conducted with the 15 experts. The experts who are at the senior level of public practitioners. The findings of different core functions related to the public affairs of Chile-surround the behaviors of lobbying and governmental relations, the concern regarding the significance of public trust enhanced by the lack of transparency in the public affairs of the Chilean field. The public and private interest of cohesion between organizations may lead to the key factor of leveraging pressure on officials and governmental agencies.

In 2021 Svenja Damberg et al., [10] analyzed the drivers of customer-based company reputation. According to an investigation of 675 customers and members of cooperative banks in Germany, they found that the most important determinant of company reputation is perceived attractiveness. The PLS-SEM method was used in their empirical analysis to support their research purpose. To minimize respondents’ uncertainty, they incorporated introductory details and descriptions in the findings. From their performed analysis, they found an association between corporate reputation and loyalty, as well as a mediation influence of satisfaction and relational trust.

In 2022 Eric Gonu et al., [14] focused on the hierarchically mediating functions of customer satisfaction and loyalty, and researchers established the effects of CRM practices on organizational performance. 420 customers were chosen as samples using multi-stage sampling procedures. The data gathered showed that CRM practices had a favorable impact on organizational performance. The data were analyzed using partial least square structural equation modeling. Their findings showed that CRM procedures have a favorable impact on organizational performance. The effects are stronger, however, when the association between CRM and organizational success is mediated hierarchically by consumer satisfaction and loyalty.

2.2. Research gap

According to the available existing studies, most of the research carried out on the impact of customer relationship management, brand reputation, customer satisfaction, and customer loyalty but, some other influencers can also be explored in customer relationship management strategies. Many of the studies performed partial least square structural equation modeling and gathered information from customers in the retail industry, students, etc. Therefore, this learn investigates the effectiveness of client association organization strategies on customer approval. The point of this lesson is to examine the connection between client loyalty and customer retention. By analyzing the effects of customer relationship management strategies on customer satisfaction with a focus on customers in the tourism industry, it tries to fill this research gap.

2.3. Theoretical framework

Developing a distinctive relationship with customers might increase the loyalty between customers and the company in the long term, the current study was built on the findings of earlier studies [11]. Also, consumer loyalty to the business reflects how satisfied customers are with the finished goods [28]. As a result, the idea of relationship marketing serves as the foundation for the indirect link between customer relationships and customer happiness and receiving results as customer loyalty. According to the principle of relationship management, management of customer relationships forges solid bonds with customers, and these bonds encourage consumers to show loyalty and make long-term commitments. Additionally, this theory demonstrates that businesses that have great customer loyalty outperform those that don’t in terms of enhancing profits. CRM serves as a tool for attracting customers, fostering good relationships with consumers, and effectively maintaining those relationships over time via satisfaction [7]. The CRM can increase customer satisfaction and foster loyalty [1]. The secondary indirect link between a company’s reputation and the loyalty of customers is because of client satisfaction, which is supported by the resource-based perspective hypothesis. The main factor that gives an organization a competitive edge is its resources (Barney et al., 2011). For the corporation to gain a comparative advantage through the acquisition of client loyalty, corporate reputation as well and customer satisfaction are considered intangible in the present framework.

2.4. Hypothesis development & conceptual model

With the research objectives and research questions, the following hypotheses were proposed.

As a company’s ability to retain consumers via service and maintain their satisfaction is a significant factor in how successfully it grows, service quality and consumer satisfaction are essential business factors [18]. High service quality is correlated with customer satisfaction which also boosts a company’s ability to compete in the market. Moreover, efficient customer service is anticipated to increase client involvement and relationships, which will lead to increased customer fulfillment [5]. To determine the key impact of customer need, satisfaction, and service quality, this hypothesis is put forth.

$H_{1}$ : Service quality significantly and positively influences customer satisfaction.

Each company’s interactions with its marketplace should be centered on the needs of the customer. Customer orientation, the core element of market orientation, is a significant factor in corporate performance [6]. Because of today’s markets’ intense competition, businesses must pay closer attention to their consumers’ wants if they hope to maintain their present customers and attract fresh ones [24]. To achieve the satisfaction of buyers, one must be customer-oriented. A company may enhance its consumer orientation by gaining insight into the demands and satisfaction of its consumers. Monitoring customers’ satisfaction yields crucial data that allows for process improvement and monitoring. As a result, the study was initiated to identify the influence of customer orientation on customer satisfaction.

$H_{2}$ : Customer Orientation significantly and positively influences the customer’s satisfaction.

There are a range of behaviors of employees that might take place at work in any tourism and hospitality industry. Employee behavior can be defined as different activity sequences that are performed by people working for the organization [2]. Certain of these behaviors might be productive and pertain to the work that employees do for the company, their coworkers, and the client. Because they are ultimately accountable for delivering a high quality service that lives up to customer’s requirements, an organization’s workers are crucial for assuring success in their perspectives and satisfaction [17]. The goal of the developed hypothesis is to better understand how employee behavior and satisfaction of customers are related.

$H_{3}$ : Employee’s Behavior significantly and positively influences the customer’s satisfaction.

Value proposition presents the advantages that a business offers customers who purchase its goods or services [26]. It acts as a statement of intent for the business as well as the market. Increasing customer value enhances the user experience as well as satisfaction [30]. (The opposite is also accurate. Customers will benefit from a positive customer experience.) Customer value creation (better working conditions versus price) boosts brand loyalty, market dominance, and pricing, lowers mistakes, and improves productivity. As a result, we propose the following hypothesis:

$H_{4}$ : Value Proposition significantly and positively influences the customer’s satisfaction.

Interacting is the most beautiful critical quality dimension which helps to understand the consumers to be stable in a preferred manner [21]. It defines that the employees should make the customers stay ahead. The listening skills and the language that make good communication can make the consumer understand easily [22]. This aspect also describes the impact prepared by workers to know the consumer needs. As an effect, the identity is to influence the customer satisfaction of communication management.

$H_{5}$ : Communication management significantly and positively influences customer satisfaction.

Relationships between an organization and its public have recently drawn the attention of researchers and practitioners in public relations [10]. Public relations strengthen the bond between an organization and its customers and provide a two-way exchange of benefits [14]. This indicates that the client obtains genuine value from the connection, which benefits the company by enhancing profitability and long-term viability over an extended period. Therefore, we posit the following hypothesis:

$H_{6}$ : Public relations significantly and positively influence the customers’ satisfaction.

CRM is an especially significant device of the group; this is to improve the consumer’s faithfulness plus approval to control it for ancient between corporation and customers [14]. The impact of the organizational structure of CRM is to build the strategy of customer relationships [18]. In addition to this customer relationship management (CRM), strategies have a different sector extensively used to improve the customer needs and satisfaction of loyalty for the long-standing, because of the job in marketing, the client fulfillment and upholding it for ancient is not easy job. In seeing the sights sector, the climax managers are frequently confident to track helpful in selling deal of strategies, for the hold of tourist and maintain it into view of long-standing. In the present era, academicians and practitioners are taking more interest in the strategies of CRM [24]. From the convenient viewpoint of CRM, the seeing the sights sector adopts multiple strategies method, while the more exact context of customer relationships strategy makes the different way of practitioners. Buyer faithfulness is a customer’s accuracy in a repair and a customer’s link with a name. Hence, authentic devotion is linked with large levels of recurring investment. Business standing, client need, and satisfaction of buyer constancy. This company status is the most key basic in the traffic world, which is a major pointer to the success of the organization. Even company icons have statements that take 20 years to construct a company standing and take five actions to trash it. The company’s status is one of the largest part important resources in achieving competitiveness. Standing is an insight of quality joined with the surname or high-quality name of the tune supplier by clients. A fine reputation influences buyer fulfillment because consumer fulfillment is a buyer’s emotion that a corporation’s act meets their hope. Therefore, we posit the following hypothesis:

$H_{7}$ : Customer loyalty and customer retention strategies have a strong and positive relationship with customer satisfaction.

2.5. Research hypothesis framework

Figure 1 indicates the bond between consumer faithfulness and consumer preservation. This research study established the customer relationship management (CRM) strategy influencing consumer need and satisfaction such as a) service quality, b) customer orientation, c) employee behavior, d) value proposition, e) communication management, and f) public relationship management.

Fig. 1.

Framework of the proposed assumption.

3. Research methodology

3.1. Variable description

Service quality: Service quality implies that the firms have to provide the expected and perceived services so that consumer satisfaction is achieved. All tourism departments believe that service quality is vitally important to develop high-quality tourism products. Service quality is considered the main factor for the differentiation and competitiveness of tourism service products. Tourism service quality has become a hot issue of social concern and an important factor for tourists to choose tourist destinations [18].

Customer orientation: The extent to which a company gathers information on its customers to meet their expectations and desires. Customer retention should be prioritized in the travel sector. An effective customer retention strategy can help tourism companies to survive and succeed in the current economic environment, with enormous savings on expenses, an increase in customer loyalty, and referrals from satisfied customers. [5].

Employee behavior: Employee behaviors are influenced by the growth possibilities provided by their employers by their requirements and expectations. The role of employee behavior plays an important part in creating an impressive factor for the customer. Advertising, reviews, public relations, social media, personal experiences, and other avenues influence the guest impression of tourism organizations [26].

Value proposition: Value proposition defines the overall perspective of a company’s bundle of valuable products and services for the consumer. Travel management is required to offer an attractive value proposition to differentiate them from the competition to enhance bookings. They can better customize their value proposition to the needs and desires of the customer, the more they understand the customer’s requirements and wants. [6].

Communication management: Communication management refers to the movement of information within a firm or between companies. It focuses on managing an organization’s target audiences through the strategy and implementation of various communication strategies. Tourism communication takes several forms in terms of technology and media, including print media, television, radio, and the Internet, among others. Localities can be transmitted to various visitors/tourists by modifying the means of communication and technological gadgets [30].

Public relations: The managerial role that creates and keeps the organization’s links mutually beneficial and the policies that determine its success or failure. By establishing favorable relationships with the community and the media, public relations support the tourism industry in attracting customers. [17].

Customer Loyalty: Customer loyalty refers to the desire to repeatedly buy the same brand of goods and services. Customer loyalty is essential for the success of almost every company, but it is especially important in the tourism industry to ensure financial stability and a positive brand image. The majority of individuals only book travel experiences once or twice a year, but having loyal customers who return to your business or agency helps to maintain your income and make future scheduling simpler. [5].

Customer Retention: Customer retention is defined as a customer’s repeated purchase behavior commencing a company, with anytime a item for consumption is needed, he or she considers using just that company’s product or service. Companies prioritize customer retention because the expense of gaining new customers is higher than the cost of sustaining a connection with an existing customer [26].

Customer Satisfaction: Customer satisfaction is defined as the extent to which a customer believes that an individual, corporation, or organization has effectively supplied a product or service that meets the demands of the customer in the context in which the consumer is aware of and utilizing the product or service. Customer satisfaction is a key baseline to determine the quality of tourism services due to its fundamental qualities. A satisfied customer advertises the service on social media and in online feedback, enhancing the organization’s visibility and the competitiveness of its location. On their following visit, they invite family and friends. Their whole quality of life is influenced by how well they enjoy their vacation time. [6].

3.2. Data collection

This research is based on both primary and secondary data. The primary data were gathered through an offline questionnaire from the tourism industry’s customers. A set of 350 surveys were distributed. A total of 324 questionnaires were collected from the questionnaire survey, and invalid questionnaires, such as those with incorrect responses, were eliminated. Finally, 301 samples were utilized in the study and analysis. Secondary data was gathered from online databases such as Emerald, MDP, Taylor, and Francis, as well as printed journals and magazines. The timeframe of data gathering was from January to March 2023.

3.2.1. Sampling

Research attitude helps the researchers to plan their results and ideas which present their outcome from the facts obtained through the lessons period. The major purpose of the examiner tactic is to guide the investigator at every stage to attain the main objectives of the study. The research’s proposed hypotheses were verified using a quantitative research methodology. Data were specifically gathered through self-administered Internet surveys. The target population of this study is customers of the tourism industry in India. To collect the data, a sample size of 301 customers would be taken from the tourism sector. The respondents were assured the information would not even be shared with outside entities. For the selection of samples, the convenience sampling method would be used.

This part focused on how we will get the data required for the study. The research approach, population sample, analysis tools, data collection, sampling strategies, validity analysis, reliability analysis, and data analysis are all described in excruciating detail.

3.2.2. Sample description

Figure 2 presents the demographic profile of the participants. The survey result shows that 52.3% of customers were male and 47.7% of customers were female. The age groups were 21.6% with age between 20 to 29 years old, 26.4% with age between 30 to 39 years old, 31.2% with age between 40 to 49 years old, and 20.7% with age above 50 years old. For the highest qualification, most of the respondents have post graduates which comprise 37.2% followed by undergraduates with 25.2%, diplomas with 21%, and others with 16.5%. The respondents consist of academicians from different professional activities where 40.8% are self-employed and 59.2% are unemployed.

Fig. 2.

Analysis of demographic profile of respondents.

3.2.3. Questionnaire design

A questionnaire will describe the research topic and encourage respondents to provide honest responses. On a five-point scale, the Likert scale design is used to measure how strongly respondents agree and disagree with Statements. a) 1 = strongly disagree b) 2 = Disagree c) 3 = neither agree nor disagree d) 4 = Agree e) 5 = strongly agree. The quantitative technique was utilized in this study, and questionnaires were sent to the samples to help the researchers determine the influence of customer relationship management, brand reputation, customer satisfaction, and customer loyalty. The total number of questions from the topic is 28. A set of questions was developed which comprises seven (9) parts. Section A (Customer Satisfaction) has 4 questions, Section B (Service Quality) has 3 questions, Section C (Customer Orientation) has 3 questions, Section D (Employer Behavior) has 3 questions, Section E (Value Proposition) has 3 questions, Section F (Communication Management) have 3 questions, Section G (Public Relationship Management) have 3 questions, Section H (Customer Loyalty) have 3 questions Section 1 (Customer Retention) have 3 questions.

3.3. Research design

The research design is the proposal for fulfilling the goal and giving information to respond to the study point. Since this division was based on the confirmation of connection, data together from a huge sample bulk to enable simplification, the survey approach was deemed appropriate. A survey refers to a line of attack where participants are drawn from an inhabitant and studied to make conjecture about the population. This survey is a way to acquire in order the personality, trial, or opinion of a generous assembly of folks, alluded to. Investigation designs might be familiar as-cross-sectional or longitudinal groups on whether they rebuff or fit in unequivocal attention to detail regarding a period dimension. For this study, the researchers adopt a cross-sectional survey investigative design and simple ease sampling method which facilitates the gathering of primary data through a planned questionnaire. The study was conducted in tourism Industries of India.

3.3.1. Research tools

Data was planned and processed using the International Business Machines Corporation (IBM) arithmetical of Statistical Package for Social Science (SPSS) 26. The IBM SPSS was used for performing frequency analysis, correlation, and regression. Descriptive statistics is performed to find the mean and standard deviation (std. dev) of the constructs with their response rate, correlation is employed to analyze the variable relationship, and regression analysis is carried out to obtain the negative/ positive impact among the utilized components.

4. Result & discussion

4.1. Statistical analysis

The data were processed after being gathered. Using SPSS V26 programs the calculation of factor values is used to estimate the factorial analysis, and the analysis of Moment Structures (AMOS) Graphics, for the structural equation estimation and variables relationship.

4.2. Descriptive statistics

Table 2 showing that the methods of customer satisfaction for the study’s remarks range from 1.2402 to 1.6847, which indicates that in the customer satisfaction factor, easy access by several travel methods has the highest mean rate of 1.6847; with the standard deviation score of .77205. Then, the means of service quality range from 1.4895 to 1.4985, which shows that in service quality, a facility with a pleasant experience has the high level of mean rate (1.4985); with a standard deviation score of .73887. Additionally, customer orientation means range from 1.5526 to 1.7778, which shows that generating new technologies has the highest mean rate of 1.7778; with a standard deviation score of .83874. The mean level of employee behavior ranges from 1.3694 to 1.6456, which indicates that making sure clients are aware of the receipt for services has the greatest mean level of .73698 and standard deviation score of .70750. Further, the mean of value proposition ranges from 1.4685 to 1.6396, which shows that service competence is essential to them and has the high level of mean value (1.6396); with a standard deviation of .71717. The mean of communication management ranges from 1.3453 to 1.7357, which indicates that effectively providing them with clear ideas has the high level of mean score (1.7357); with a standard deviation of .83368. Then, the mean of public relationship management ranges from 1.5165 to 1.6396, which shows that fulfilling a variety of customer’s needs, has the high level of mean value of 1.6426; with a standard deviation of .75402. Additionally, the mean of customer loyalty range from 1.5646 to 1.9129 which indicates that they think of themselves as a committed customer and has the greatest mean score of 1.9129; with a standard deviation of .76535. Then, the mean of customer retention ranges from 1.3423 to 1.8108, which shows that the overall level of fulfillment has the highest mean score of 1.8108 and a standard deviation of .77047. Table 3 estimates that the overall performance of descriptive statistics reveals that the customer loyalty variable has the highest mean and ordinary digression scores 1.9129 and .76535.

Table 2
Descriptive data

Variable description Mean Std. dev.

Customer satisfaction

Making handset reservations is simple. 1.5405 .67819

Availability of an appointment in a reasonable timeframe 1.4294 .68458

The complexity of the check-in procedures 1.2402 .51712

Easy access by several travel methods 1.6847 .77205

Service quality

Facilities with a pleasant experience 1.4985 .73887

The competence of the service personnel 1.4895 .66589

Giving consumers enduring exposure throughout the year 1.4955 .74292

Customer orientation

The company invests regularly in generating new technologies 1.7778 .83874

Business generates systems for tracking, evaluating, and resolving client issues. 1.4324 .69362

Recognize the needs of the customer 1.5526 .75317

Employee’s behavior

Provide personalized service to each guest. 1.6216 .73698

Willingness to reply to inquiries from customers. 1.3694 .66669

Ensuring clients know when services be rendered. 1.6456 .70750

Value proposition

Service competence is essential to me. 1.6396 .71717

The level of friendliness was satisfactory in my opinion. 1.4685 .67867

I am impressed with the responsiveness that was given. 1.4775 .73033

Communication management

Effectively providing me with clear ideas, I should take 1.7357 .83368

Interacting with me in a manner, I can understand 1.5315 .66523

Helping me understand the judicial process 1.3453 .59941

Public relationship management

Boost the buying intent of consumers 1.5165 .73049

Satisfies the requirements of a range of consumers. 1.6426 .74542

Promote business culture effectively 1.6396 .75402

Customer loyalty

The business is unique, compared to other brands 1.5646 .70254

I think of myself as a committed customer. 1.9129 .76535

I interact with the company voluntarily, not out of necessity. 1.7958 .79174

Customer retention

The overall level of fulfillment 1.8108 .77047

Level of public confidence in the brand’s quality 1.3423 .59357

Brand general qualifications at a higher level than competing brands 1.6186 1.85187

Variable description	Mean	Std. dev.
Customer satisfaction
Making handset reservations is simple.	1.5405	.67819
Availability of an appointment in a reasonable timeframe	1.4294	.68458
The complexity of the check-in procedures	1.2402	.51712
Easy access by several travel methods	1.6847	.77205
Service quality
Facilities with a pleasant experience	1.4985	.73887
The competence of the service personnel	1.4895	.66589
Giving consumers enduring exposure throughout the year	1.4955	.74292
Customer orientation
The company invests regularly in generating new technologies	1.7778	.83874
Business generates systems for tracking, evaluating, and resolving client issues.	1.4324	.69362
Recognize the needs of the customer	1.5526	.75317
Employee’s behavior
Provide personalized service to each guest.	1.6216	.73698
Willingness to reply to inquiries from customers.	1.3694	.66669
Ensuring clients know when services be rendered.	1.6456	.70750
Value proposition
Service competence is essential to me.	1.6396	.71717
The level of friendliness was satisfactory in my opinion.	1.4685	.67867
I am impressed with the responsiveness that was given.	1.4775	.73033
Communication management
Effectively providing me with clear ideas, I should take	1.7357	.83368
Interacting with me in a manner, I can understand	1.5315	.66523
Helping me understand the judicial process	1.3453	.59941
Public relationship management
Boost the buying intent of consumers	1.5165	.73049
Satisfies the requirements of a range of consumers.	1.6426	.74542
Promote business culture effectively	1.6396	.75402
Customer loyalty
The business is unique, compared to other brands	1.5646	.70254
I think of myself as a committed customer.	1.9129	.76535
I interact with the company voluntarily, not out of necessity.	1.7958	.79174
Customer retention
The overall level of fulfillment	1.8108	.77047
Level of public confidence in the brand’s quality	1.3423	.59357
Brand general qualifications at a higher level than competing brands	1.6186	1.85187

4.3. Measurement model

To examine, Cronbach’s alpha coefficient for the gadget was intended worldwide with a value range of 0.5 to 0.8. The value when reaches above 0.8 is measured as highly consistent data and the value when reaches below 0.5 defines the instruments utilized are less reliable. Reliability also defines the constancy of data inside. We can view that the global internal constancy is very high, close to 0.8 for the entire constructs. All the constructs can be considered consistent except for Confidence, whose value is extremely reduced. Here, the value of alpha (α) attained for all the constructs is above 0.70 which means the data for the constructs were within the range and are reliable.

Table 3
Construct reliability

Constructs Cronbach’s alpha (α)

Customer satisfaction 0.700

Service quality 0.867

Customer orientation 0.965

Employee’s behavior 0.856

Value proposition 0.972

Communication management 0.876

Public relationship management 0.973

Customer loyalty 0.923

Customer retention 0.875

Constructs	Cronbach’s alpha (α)
Customer satisfaction	0.700
Service quality	0.867
Customer orientation	0.965
Employee’s behavior	0.856
Value proposition	0.972
Communication management	0.876
Public relationship management	0.973
Customer loyalty	0.923
Customer retention	0.875

Table 4

Regression study between the CMR and customer satisfaction

Model	Coeff.	Std. error (β)	t	Sign… (p)
C	.928	.137	6.750	.000
Service quality	.166	.062	2.654	.008
Customer orientation	.108	.067	1.621	.106
Employee behavior	.228	.057	3.996	.000
Value proposition	−.064	.064	−.995	.321
Communication management	−.061	.051	−1.194	.234
Public relation management	−.024	.056	−.431	.666
$r^{2}$	.141
Adj. $r^{2}$	.123
Std. error	.36334
SS residual	38.681
F	8.012
Sign. (F)	.000

4.4. Analysis of regression

According to Table 4, the service quality value of.166 at the 1% level has a p-grade of 0.008 and is positively accurate. This shows the crucial relationship between customer satisfaction and service quality. Also, it shows that the customer orientation score of 0.108, with a p-grade of 0.106, is negligible at the 10% level. So, it is proven that there is no meaningful relationship between customer orientation and customer satisfaction. According to the table, the employee behavior of 0.228 is positively accurate at the 1% level with a p-value of 0.000. As a result, it is recognized that there is a strong correlation between employee behavior and consumer satisfaction. Also, the value proposition’s −.064 score and p-score of .321 show that they are negligible at the 10% level. So, it is established that there is no strong relation between value proposition and consumer satisfaction. The table shows that the communication management of −.061, with a p-score of .234, is negligible at the 10% level. As a result, it is accepted that there is no substantially beneficial association between communication management and customer happiness. At the 10% level, the public relations management of −.024 is negligible with a p-score of 0.666. This proves that there is no connection between customer pleasure and public relations. It is accurate to claim that there is a weak but positive correlation between Customer-Managed Relationships (CMR) and customer satisfaction. The research attempts to account for the opportunity of the $r_{2}$ mechanically and unreasonably rising when more instructive variables are included in the model by utilizing an adjusted $r_{2}$ . The adjusted R-squared value of .123 indicates that variation in the self-governing variables can explain 12.3% of differences in the reliant variables. As a result, the evidence can be utilized to make obvious the credibility of the findings that were obtained.

Table 5 indicates that the customer loyalty grade of −.083 at the 10% level with a p-score of .084 is insignificant. This illustrates that there is no association between customer approval and faithfulness. It is inexact to conclude that there is a feeble but positive relationship between client faithfulness and client approval. The study attempts to legend meant for the option of the $r_{2}$ mechanically and indefensibly rising when more illuminating variables are built-in in the model by utilizing an attuned $r_{2}$ . The adjusted R-squared value of .007 indicates that variations in the self-governing variables can explain 7% of the difference in the dependent variables. As a result, the data can be utilized to display the credibility of the results that were obtained.

Table 5
Regression study between customer loyalty and customer satisfaction

Model Coeff. Std. error (β) t Sign… (p)

C 1.636 .087 18.715 .000

Customer loyalty −.083 .048 −1.732 .084

$r^{2}$ .010

Adj. $r^{2}$ .007

Std. error .38677

SS residual 44.578

F 3.000

Sign. (F) .084

Model	Coeff.	Std. error (β)	t	Sign… (p)
C	1.636	.087	18.715	.000
Customer loyalty	−.083	.048	−1.732	.084
$r^{2}$	.010
Adj. $r^{2}$	.007
Std. error	.38677
SS residual	44.578
F	3.000
Sign. (F)	.084

Table 6 illustrates that the customer retention score of .174 at a 1% level of p-score of .000 is positively accurate. This demonstrates the negative correlation between client fulfillment and client preservation. It is accurate to conclude that there is a weak but helpful correlation between customer loyalty and satisfaction. The study attempts to explanation for the possibility of the $r_{2}$ mechanically and excessively rising when more descriptive variables are included in the model by utilizing an attuned $r_{2}$ . The adjusted R-squared value of .104 indicates that variations in the self-governing variables can explain 10.4% of differences in the needy variables. As a result, the proof can be utilized to make obvious the reliability of the findings that were obtained.

Table 6

Regression study between customer retention and customer satisfaction

Model	Coeff.	Std. error (β)	t	Sign… (p)
C	1.214	.051	23.951	.000
Customer retention	.174	.029	5.976	.000
$r^{2}$	.107
Adj. $r^{2}$	.104
Std. error	.36733
SS residual	40.209
F	35.709
Sign. (F)	.000

4.5. Analysis of correlation

The technique employed in this study to examine the type and degree of the association between the dependent and independent variables is the correlation analysis (i.e., customer relationship management and customer satisfaction). The results of the analysis tool are listed below. Specifically, the unique interactions between the independent variables expressed by service quality, customer orientation, employee behavior, value proposition, communication management, and public relation management and the dependent variables expressed by accounting measures of customer satisfaction. Table 7 below shows the connection between client association management and measures of client approval. It reveals a positive correlation between the dependent variables of the study (consumer satisfaction). This most likely means that even if one of these had been used in place of customer satisfaction, the study assessment outcomes would have likely been identical. The table further demonstrates the existence of beneficial relationships among customer satisfaction by highlighting the positive correlations between service quality, customer orientation, employee behavior, value proposition, communication management, and public relations management.

Table 7
Correlation analysis between the CMR and customer satisfaction

Service quality – SQ, customer orientation – CO, employee behavior – EB, value proposition – VP, communication management – CM, public relation management – PRM

Control variables SQ CO EB VP CM PRM

Customer satisfaction SQ 1.000

CO .617 1.000

EB .129 .189 1.000

VP .430 .523 .062 1.000

CM .274 .482 .117 .364 1.000

PRM .219 .045 .068 .084 .239 1.000

Service quality – SQ, customer orientation – CO, employee behavior – EB, value proposition – VP, communication management – CM, public relation management – PRM
Customer satisfaction	SQ	1.000
CO	.617	1.000
EB	.129	.189	1.000
VP	.430	.523	.062	1.000
CM	.274	.482	.117	.364	1.000
PRM	.219	.045	.068	.084	.239	1.000

Figure 3, shows the structural path of customer satisfaction in a relationship with customer quality, customer orientation, employee behavior, value proposition, communication management, public relationship management, customer loyalty, and customer retention.

Fig. 3.

Structural model path diagram.

4.6. Discussion

The current study refers to the collection of knowledge on customer relationship management theory, the reputation of companies, and customer loyalty. The relationship theory outlines qualities like consumer welfare, confidence and commitment between shareholders, and the significance of customer service or loyalty to explain the form and extent of marketing relationships. The quantity of effective relationship marketing campaigns is also explained by the marketing relationship management theory. There is, however, not any research that has exactly established a coordinated model that has thoroughly studied the linkages between customer relationship management, business reputation, and customer loyalty available.

Hence, our result indicates that customer orientation, value proposition, communication management, and public relations management have no significant impact on customer satisfaction. The impact of customer need, satisfaction, and service quality, this hypothesis is put forth. Service quality significantly and positively influences customer satisfaction. Therefore, based on the current findings, we support his first hypothesis [18]. Second, Customer Orientation significantly and positively influences the customer’s satisfaction. Hence, our second hypothesis is also supported [6]. Concerning the third hypothesis, our results suggest that Employee’s Behavior significantly and positively influences the customer’s satisfaction. Hence, our third hypothesis is also supported [17]. The Fourth Hypothesis suggests that Value Proposition significantly and positively influences the customer’s satisfaction, the fourth hypothesis is also supported [26]. The fifth hypothesis suggests that Communication management significantly and positively influences customer satisfaction, the fifth hypothesis is also supported [22]. The sixth hypothesis suggests that Public relationship management significantly and positively influences the customers’ satisfaction, the sixth hypothesis is also supported [10]. The seventh hypothesis suggests that Customer loyalty and customer retention strategies have a strong and positive relationship with customer satisfaction, the seventh hypothesis is also supported [10]. The consumer will be more likely to employ the company’s services repeatedly if their level of satisfaction is higher, which will enhance sales and, ultimately, organizational profit.

5. Conclusion

5.1. Implications

Companies should make greater efforts to identify company loyalty, according to corporate reputation. Because it aids in the best loyalty identification of customers rather than giving preference to awareness, the firm reputation investment may help to establish dependable identification for customers. Top executives may then change their social trade speculation and interest in client association.

The main take away from this research is that rustic tourist businesses must have a thorough service strategy with a focus on managing long-term relationships with local clients through service and relationship interactions. Recognising and attempting to exceed service expectations for these key client segments is a key business success strategy that helps assure annual sustainability in rural tourism markets. Understanding key customer expectations for service quality can help retailers in rural tourism markets obtain the knowledge and strategic direction they need to enhance service offerings, increase employee training, and allocate limited firm resources to areas of most need.

Our research has certain implications for businesses operating in economic development from a practical standpoint. To obtain individualized care, they must first develop strong connections with their clients from a managerial standpoint. The specialists should be aware of how important customer loyalty is in influencing customers’ support, recommendation habits, and aims for repeat business. Corporate reputation advised businesses to spend more effort identifying corporate loyalty. Since it promotes the best loyalty recognition of consumers rather than giving precedence to awareness, an industry’s reputation investments may aid in the development of trustworthy customer acquisition. Top executives may then change their universal exchange speculation and interest in customer association. Because of this, top administration personnel may also contribute to building consumer reputation and loyalty through various actions including merchandising, public relations, and advertising campaigns. They can also plan diverse activities including charitable endeavors, political campaigns, sponsorships, sponsorships, and corporate social responsibility activities.

5.2. Conclusion & limitations

This revision shows that customer relationship management (CRM) has a major effect on client approval and both variables have different positive relations. Corporations make their CRM burly and dependable the client will be more content and keep with the corporation. Therefore the result indicates that customer orientation, value proposition, communication management, and public relations management have no significant impact on customer satisfaction. The consumer will be more likely to employ the company’s services repeatedly if their level of satisfaction is higher, which will enhance sales and, ultimately, organizational profit. The proportion of devoted customers will rise. As a result of the tourism industry’s increasing competitiveness and promising future, it is predictable that organizations will take the answer to this learning into account when defining employee training and its role in delivering better services that foster customer loyalty and fulfill their expectations using CRM.

Our investigation has several limitations. First off, the research only looks at tourism-based businesses in India. It is insufficient for positive outcomes. As a result, we advise that future scholars carry out their studies in other major cities. Also, it is advised that scholars who are fascinated by this subject undertake their research in various industries and nations. Finally, recommended that new variables be included as moderators in future studies, such as literacy relations since knowledge can aid managers in making decisions.

References

A.G.

Aggarwal and

Yadav, Customer segmentation using fuzzy-AHP and RFM model, in: 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO), IEEE 2020, pp. 77-80.

Anabila,

L.E.K.

Ameyibor,

M.M.

Allan and

Alomenu, Service quality and customer loyalty in Ghana’s hotel industry: The mediation effects of satisfaction and delight, Journal of Quality Assurance in Hospitality & Tourism (2021), 1–23.

Angamuthu, Impact of customer relationship management on customer satisfaction and its role towards customer loyalty and retention practices in the hotel sector, BVIMSR’s Journal of Management Research 7(1) (2015).

I.A.

Aramburu and

I.G.

Pescador, The effects of corporate social responsibility on customer loyalty: The mediating effect of reputation in cooperative banks versus commercial banks in the Basque country, Journal of Business Ethics 154(3) (2019), 701–719. doi:10.1007/s10551-017-3438-1.

Arora,

Singh,

Bhatt and

Sharma, Understanding and managing customer engagement through social customer relationship management, Journal of Decision Systems 30(2–3) (2021), 215–234. doi:10.1080/12460125.2021.1881272.

Azeem,

Aziz,

Shahid,

Hayat,

Ahmed and

M.I.

Khan, The impact of customer-centric business strategies on customer relationship management: Pharmaceutical field-force perspective, International Journal of Pharmaceutical and Healthcare Marketing (2021).

M.S.

Balaji, Investing in customer loyalty: The moderating role of relational characteristics, Service Business 9(1) (2015), 17–40. doi:10.1007/s11628-013-0213-y.

Bhakane, Effect of customer relationship management on customer satisfaction and loyalty, International Journal of Management (IJM) 6 (2015), 01.

B.L.

Cheng,

C.C.

Gan,

B.C.

Imrie and

Mansori, Service recovery, customer satisfaction, and customer loyalty: Evidence from Malaysia’s hotel industry, International Journal of Quality and Service Sciences 11(2) (2019), 187–203. doi:10.1108/IJQSS-09-2017-0081.

10.

Damberg,

Schwaiger and

C.M.

Ringle, What’s important for relationship management? The mediating roles of relational trust and satisfaction for the loyalty of cooperative banks’ customers, Journal of Marketing Analytics 10(1) (2022), 3–18. doi:10.1057/s41270-021-00147-2.

11.

Das,

Mishra and

P.K.

Mohanty, The impact of customer relationship management (CRM) practices on customer retention and the mediating effect of customer satisfaction, International Journal of Management Studies 5(1) (2018), 4.

12.

D.L.

Duffy, Customer loyalty strategies, Journal of consumer marketing 15(5) (1998), 435–448. doi:10.1108/07363769810235910.

13.

Evanschitzky,

Ramaseshan,

D.M.

Woisetschläger,

Richelsen,

Blut and

Backhaus, Consequences of customer loyalty to the loyalty program and the company, Journal of the Academy of Marketing Science 40(5) (2012), 625–638. doi:10.1007/s11747-011-0272-3.

14.

Gonu,

Okeniyi and

G.K.Q.

Agyapong, Customer relationship management practices and organizational performance of commercial banks in Ghana: A mediation analysis, Journal of Financial Services Marketing (2023), 1–18.

15.

D.D.

Gremler,

K.P.

Gwinner and

S.W.

Brown, Generating positive word-of-mouth communication through consumer-employee relationships, International Journal of Service Industry Management 12(1) (2001), 44–59. doi:10.1108/09564230110382763.

16.

Herhausen,

Kleinlercher,

P.C.

Verhoef,

Emrich and

Rudolph, Loyalty formation for different customer journey segments, Journal of Retailing 95(3) (2019), 9–29. https://doi.org/10.1016/j.jretai.2019.05.001 . doi:10.1016/j.jretai.2019.05.001.

17.

K.H.

Huarng and

T.H.K.

Yu, The impact of surge pricing on customer retention, Journal of Business Research 120 (2020), 175–180. doi:10.1016/j.jbusres.2020.07.043.

18.

R.U.

Khan,

Salamzadeh,

Iqbal and

Yang, The impact of customer relationship management and company reputation on customer loyalty: The mediating role of customer satisfaction, Journal of Relationship Marketing 21(1) (2022), 1–26. doi:10.1080/15332667.2020.1840904.

19.

Kumar and

Shah, Building and sustaining profitable customer loyalty for the 21st century, Journal of Retailing 80(4) (2004), 317–329. doi:10.1016/j.jretai.2004.10.007.

20.

Kumar,

P.A.

Smart,

Maddern and

R.S.

Maull, An alternative perspective on service quality and customer satisfaction: The role of BPM, International Journal of Service Industry Management 19(2) (2008), 25–35. doi:10.1108/09564230810869720.

21.

Labanauskaite,

Fiore and

Stašys, Use of E-marketing tools as communication management in the tourism industry, Tourism Management Perspectives 34 (2020), 100652. doi:10.1016/j.tmp.2020.100652.

22.

Labarca,

P.C.

Arceneaux and

G.J.

Golan, The relationship management function of public affairs officers in Chile: Identifying opportunities and challenges in an emergent market, Journal of Public Affairs 20(3) (2020), e2080. doi:10.1002/pa.2080.

23.

Luarn and

H.H.

Lin, A customer loyalty model for e-service context, J. Electron. Commer. Res. 4(4) (2003), 156–167.

24.

Molinillo,

Aguilar-Illescas,

Anaya-Sánchez and

Carvajal-Trujillo, The customer retail app experience: Implications for customer loyalty, Journal of Retailing and Consumer Services 65 (2022), 102842. doi:10.1016/j.jretconser.2021.102842.

25.

M.W.

Nyadzayo and

Khajehzadeh, The antecedents of customer loyalty: A moderated mediation model of customer relationship management quality and brand image, Journal of Retailing and Consumer Services 30 (2016), 262–270. doi:10.1016/j.jretconser.2016.02.002.

26.

Othman,

He,

Huang,

Xi and

Ramsey, The effects on service value and customer retention by integrating after-sale service into the traditional marketing mix model of clothing store brands in China, Environmental Technology & Innovation 23 (2021), 101784. doi:10.1016/j.eti.2021.101784.

27.

Rahimi and

Kozak, Impact of customer relationship management on customer satisfaction: The case of a budget hotel chain, Journal of Travel & Tourism Marketing 34(1) (2017), 40–51. doi:10.1080/10548408.2015.1130108.

28.

R.A.

Rather and

M.A.

Camilleri, The effects of service quality and consumer-brand value congruity on hospitality brand loyalty, Anatolia 30(4) (2019), 547–559. doi:10.1080/13032917.2019.1650289.

29.

R.A.

Rather and

L.D.

Hollebeek, Exploring and validating social identification and social exchange-based drivers of hospitality customer loyalty, International Journal of Contemporary Hospitality Management 31(3) (2019), 1432–1451. doi:10.1108/IJCHM-10-2017-0627.

30.

A.A.

Salamah,

Hassan,

Aljaafreh,

W.A.

Zabadi,

M.A.

AlQudah,

Hayat,

Al Mamun and

Kanesan, Customer retention through service quality and satisfaction: Using hybrid SEM-neural network analysis approach, Heliyon 8(9) (2022), e10570. doi:10.1016/j.heliyon.2022.e10570.

31.

Ueno, The impact of customer relationship management, 2006, pp. 06–13, USJP Occasional Paper.

32.

P.C.

Verhoef, Understanding the effect of customer relationship management efforts on customer retention and customer share development, Journal of Marketing 67(4) (2003), 30–45. doi:10.1509/jmkg.67.4.30.18685.

33.

J.S.

Wolter,

Bock,

J.S.

Smith and

J.J.

CroninJr., Creating ultimate customer loyalty through loyalty conviction and customer-company identification, Journal of Retailing 93(4) (2017), 458–476. doi:10.1016/j.jretai.2017.08.004.

Service quality – SQ, customer orientation – CO, employee behavior – EB, value proposition – VP, communication management – CM, public relation management – PRM
Control variables		SQ	CO	EB	VP	CM	PRM
Customer satisfaction	SQ	1.000
	CO	.617	1.000
	EB	.129	.189	1.000
	VP	.430	.523	.062	1.000
	CM	.274	.482	.117	.364	1.000
	PRM	.219	.045	.068	.084	.239	1.000

The Customer Loyalty vs. Customer Retention: The Impact of Customer Relationship Management on Customer Satisfaction

Abstract

Keywords

1. Introduction

1.1. Research contribution

1.2. Research objective

1.3. Research question

2. Literature review

2.2. Research gap

2.3. Theoretical framework

2.4. Hypothesis development & conceptual model

2.5. Research hypothesis framework

3.1. Variable description

3.2. Data collection

3.2.1. Sampling

3.2.2. Sample description

3.3. Research design

3.3.1. Research tools

4. Result & discussion

4.1. Statistical analysis

4.2. Descriptive statistics

Table 5 Regression study between customer loyalty and customer satisfaction Model Coeff. Std. error (β) t Sign… (p) C 1.636 .087 18.715 .000 Customer loyalty −.083 .048 −1.732 .084 r 2 .010 Adj. r 2 .007 Std. error .38677 SS residual 44.578 F 3.000 Sign. (F) .084

5. Conclusion

5.1. Implications

5.2. Conclusion & limitations

References

Table 5
Regression study between customer loyalty and customer satisfaction

Model Coeff. Std. error (β) t Sign… (p)

C 1.636 .087 18.715 .000

Customer loyalty −.083 .048 −1.732 .084

$r^{2}$ .010

Adj. $r^{2}$ .007

Std. error .38677

SS residual 44.578

F 3.000

Sign. (F) .084