customer experience

The purpose of this study is to propose the model of designing a customer experience management model in the field of car relief services. In this study, the researcher used a mixed method. In this research, the researcher has used a combined approach. For this purpose, in the first study, to identify the components of customer experience management components from Grounded Theory approach, and in the second study, the model test was used using quantitative method. Protocol and in-depth interview with twenty senior managers were the first tools for gathering data, and in a quantitative method, required data were collected from 330 customers of Iran Khodro and analyzed by PLS software. The researcher conducted 20 interviews, theoretically saturated, and finally extracted 152 open source codes. Based on the theoretical literature, the researcher conducted axial and selective coding and presented the results in six main dimensions and thirty-three sub dimensions. The researcher includes six main dimensions brand satisfaction, customer experience, brand dependence, strategy, brand trust, customer support of the purchase and thirty-two sub-dimensions. The results also showed that customers' mental conflict in products with high and low involvment conflict leads to trust and loyalty to the brand, because loyalty to the brand is emotional and cognitive in nature

This study aims to investigate the effect of advertising on expectations and perception of the brand with emphasis on the mediating role of customer experience management in the insurance industry. The present study is an applied research in terms of purpose. In terms of data collection method, it is a descriptive correlation and because the data were collected at a specific time, it is cross-sectional. Also, the main data for testing research hypotheses were collected in the field using a questionnaire. The statistical population of the present study consisted of customers of the insurance industry in Tehran. In order to determine the sample size, the principles of sample size in multivariate regression analysis were used to determine the sample size in structural equation modeling. The sample size was 385. The reliability and validity of the questionnaire were confirmed using face validity and reliability using confirmatory factor analysis, Cronbach's alpha coefficient and combined reliability. SPSS and LISREL software were used to analyze and test the research hypotheses. Findings from this study showed that advertising has a positive and significant effect on perception, brand expectation and customer experience management. Customer experience management also has a positive and significant effect on brand perception and expectation. Other findings of this study pointed to the positive and significant effect of the mediating role of customer experience management variable in the relationship between advertising and perception and expectations of the brand. Considering the findings of this study, advertising had the greatest effect on the customer experience. Also, the mediating effect of customer experience management variable in the relationship between advertising and brand perception was greater than the direct effect of advertising on brand perception.

The purpose of this research is to Developing a dynamic model for the impact of Servicescape on customer experience in the hotel industry. The present study is a mixed research method. In the qualitative part, the strategy is qualitative content analysis and in the quantitative part, it is applied in terms of purpose and descriptive-survey in terms of research method. To gather information in the qualitative section a collection of articles, books and thesis has been used systematically and in the quantitative part, a standard questionnaire was used to collect information. 700 loyal customers of five-star hotels in Northwest of Iran were selected for the study. A clustered sampling method was used to select statistical sample. In qualitative part, To analyze the data of this research, special content analysis processes including open coding,, axial coding were used to emerge concepts and categories. In the quantitative part, the research hypotheses were tested using structural equation modeling technique. The results of the research showed that the substantive staging and communicative staging have a positive impact on the customer experience and the effect of communicative staging on customer experience at different stages of the relationship life cycle is different.

The purpose of this study is to provide a model for improving the e-banking customer experience using digital marketing tools. This research has been done with the approach to enriching the value of digital banking during the outbreak of infectious diseases. The paradigm of the present study is interpretive and the implementation approach is qualitative; In this regard, the case study method has been used. This research is descriptive-exploratory in terms of purpose and in terms of time, it is in the field of cross-sectional studies. The qualitative methodology of grounded theory analysis by Strauss and Corbin (2007) was used to answer the research question. This research has been done inductively and based on a survey procedure. The experts  were the managers of reputable Iranian banks. Based on systematic sampling, 14 people were selected. The research tool was a semi-structured interview with questions related to the purpose of the research. Interviews were analyzed using AtlasTi version 10 software. Based on the designed model, 6 categories for causal factors (appropriate decision making, time management, digitization effects, cost management, business trends, and relationship management), 2 categories for contextual conditions (digital tools and digital economy), 2 categories for intervening conditions (individual and environmental factors), 3 categories for strategy (creativity, culture development, and digital context), 3 categories for outcomes (banking industry prosperity, customer satisfaction, and economic productivity) were identified.

This article deals with developing a model of digital marketing with a focus on customer experience and with the aim of optimizing the customer management process, increasing the quality and length of the customer journey (increasing loyalty), and improving the consequences of the marketing process in companies, and seeks to answer this question. What is the digital marketing model with the customer experience management approach and what components does it include? The research method is mixed (qualitative-quantitative) and since a model for this issue is not available in past research, the first part of the research explores model extraction through qualitative methods (here, foundation data analysis) and to determine Relationships within the model quantitatively explain the model using quantitative methods (here structural equations). The method of collecting information in the qualitative part, in addition to conducting library studies, in the form of in-depth interviews with experts in the fields of information technology, marketing, and commerce, information technology policy, and actually business managers and stores that provide services and products through channels and digital tools in this section, the statistical sample limit was carried out by the snowball method (saturation to the end of the problem) and the quantitative part of the research and explanation of the model was through data collection with questionnaire tools and closed interviews from the customers of several digital businesses, which was done with the method 385 people were randomly selected and available using Cochran's formula. In the end, the main conditions, background conditions, intervening conditions, phenomena, strategies, and consequences affecting the digital marketing model with the customer experience management approach were extracted and the relationships between them were determined.

This study was conducted to identify and to rank the factors affecting market retention in fitness centers.14 participants including the customers and managers of fitness centers participated in a semi-structured interview to collect the required data. Sixteen factors were extracted from the interviews and sixteen experts evaluate the relationships among these factors with pairwise comparisons.Based on Interpretive-Structural Modeling, the factors categorized in five levels, i.e. 1) customer relationship quality,customer experience quality, reputation, price, perceived value and satisfaction, 2) Overall servicequality, secondary services and ethical climate, 3) Training type and schedule, location and accessibility and social responsibility, 4) Interior design and equipment, 5) Manager communication and trainer’s competencies.   For the sake of customer retention, fitness centers are required to align their decisions with their customer requirements. Ranking the effective factors in this study can provide the fitness centers’ managers with a better understanding of the factors affecting customers’ decisions.

Purpose : Customer experience management is one of the most important activities for managers who are trying to grow and develop to achieve a favorable competitive position. The purpose of this study is to evaluate the dimensions of customer experience in the process of using electronic services in information technology organizations (Hamrah-e-Aval). Method : The method of this study is quantitative. In this regard, a questionnaire was designed and distributed among the statistical population by the available sampling method. The data analysis method is structural equation modeling and the software used is SPSS25 and SMART PLS 3.0. Findings : Findings show that awareness is the first step in managing customer experience. The second step deals with the active organizational actor. The third step, or evaluation, is based on service characteristics and service arrangements. The fourth step (buying decision). Purchasing and the resulting experience is the fifth step. Step 6 (Use) is a function of activities including delivery and use. The seventh step is to repeat the purchase, complain or not react to the use of the product (service). Finally, the customer's secondary response is the last step of the customer experience model. Conclusion : Based on the findings of the present study, information interface can play a decisive role in shaping customer experiences. Therefore, it is suggested that in the active businesses in the information and communication technology industry, by studying the media and customer information tools, the most optimal and effective tools should be selected and used.

Purpose: The purpose of this research was to present a customer experience management model in five-star hotels. Method: In this research, the researcher has used a database approach , and in the first study, he used the database approach based on the Ostrous approach to identify the components of the research. The tool used for collecting the required data in the first study, the protocol and in-depth interviews with five-star hotel managers and its customers in the country has been purposefully chosen and analyzed. Findings: the researcher conducted fifteen interviews in theoretical literature, and also has done axial and selective coding and then presented the results in the form of six main dimensions. Conclusion: The researcher has presented his research in the form of a model including six main dimensions, verbal advertising, service quality, new norms, customer service, event marketing, customer experience and thirty three sub-dimensions. Research findings show that improving the customer experience is the main objective for many people who work in hotels and hospitality industries.

Purpose: Start-up businesses have attracted considerable attention regarding the new approach in the modern economy The present study was conducted to investigate the factors affecting the improvement of customers’ online shopping experience in e-commerce start-ups in the healthcare sector.Method: This is an applied research conducted as a descriptive-survey. The target population includes all customers who used the electronic start-up services in the healthcare sector; out of which a sample of 384 individuals was selected using the Morgan table. A self-administered questionnaire was developed to collect the data which were analyzed using partial least squares and Smart-PLS software.Findings: All research hypotheses were confirmed, and it was proved that factors such as customer respect, customer enjoyment, importance of time, information security, convenience, perceived experience, valuable experience, and perceived image experience have a positive effect on improving customers’ online shopping experience in e-commerce start-ups.Conclusion: Applying the proposed model helps e-start-ups increase their performance   by eliminating their shortcomings and boosting their strengths.