on customer lifetime value: An example using Star Cruises

Similar documents
MEASUREMENT OF DISCONFIRMATION IN ONLINE PURCHASING BEHAVIOR

CHAPTER 5 DATA ANALYSIS AND RESULTS

The Effects of Perceived Value of Mobile Phones on User Satisfaction, Brand Trust, and Loyalty

The Compositions, Antecedents and Consequences of Brand Loyalty. Chien-An Lin, National Kaohsiung University of Hospitality and Tourism, Taiwan

THE EFFECT OF PRODUCT PORTFOLIO ON PURCHASE INTENTION IN E-COMMERCE WEB SITES. Dr. Mustafa Emre Civelek & Dr. Adnan Veysel Ertemel

Internet Shoppers Perceptions of the Fairness of Threshold Free Shipping Policies

Assessing the drivers of online impulse buying

Exploring Experiential Value in Online Mobile Gaming Adoption

THE COLLEGE STUDENTS BEHAVIOR INTENTION OF USING MOBILE PAYMENTS IN TAIWAN: AN EXPLORATORY RESEARCH

GREEN PRODUCTS PURCHASE BEHAVIOUR- AN IMPACT STUDY

Introduction. pulled into traveling by internal and external factors (Crompton, 2003). Push factors are more

THE PRACTICAL APPROACH FOR TESTING MEASUREMENT INVARIANCE ACROSS GENDER ISSUE FOR THE EMPATHY ITEMS IN SERVQUAL SCALE

Examination of an Extended Theory of Planned Behavior Model on Overseas Tourism Shopping

Effect of Website Features on Online Relationship Marketing in Digikala Online Store (Provider of Digital Products and Home Appliances)

Examination of an Extended Theory of Planned Behavior Model on Overseas Tourism Shopping

Examination of an Extended Theory of Planned Behavior Model on Overseas Tourism Shopping

IMPACT OF RETAILER BRAND EQUITY ON CUSTOMER LOYALTY WITH CUSTOMER SATISFACTION IN SELECTED RETAIL OUTLETS IN BANGALORE CITY

An Empirical Investigation of Consumer Experience on Online Purchase Intention Bing-sheng YAN 1,a, Li-hua LI 2,b and Ke XU 3,c,*

THE MODERATING ROLE OF UTILITARIAN/HEDONIC USER MOTIVATION ON USER BEHAVIOR TOWARDS WEB 2.0 APPLICATIONS

Soheila Sardar Donighi 1, Mitra Yousefi 2 1 Assistant professor, Department of Management and Social Sciences, Tehran North Branch,

An Empirical Study of the Effect of Green Marketing on Purchase Intention Evidence from Green Restaurant

HOW TO SAY SORRY: INCREASING REVISIT INTENTION THROUGH EFFECTIVE SERVICE RECOVERY IN THEME PARKS

Chapter 5. Data Analysis, Results and Discussion

Australian Journal of Basic and Applied Sciences. Investigation of the Effect of Online Bidding, E-store, and Thailand

INTER-ORGANIZATIONAL RELATIONSHIP AND INNOVATION PERFORMANCE IN ELECTRONIC SUPPLY CHAINS

The Influence of Technology Readiness on the Theory of Planned Behavior with Self-service Technologies

Constructing a B2C Repurchase Intention Model Based on Consumer Perceptive Factors

A Study on New Customer Satisfaction Index Model of Smart Grid

Management Science Letters

Perceived Quality, Brand Image and Brand Trust as Determinants of Brand Loyalty

METHODOLOGY. From a thorough review of the related literature, this research proposes the following framework: Fig. Research framework

A Study of Customers Attitudinal and Behavioral Responses toward Lodging Companies Corporate Social Responsibility Initiatives ABSTRACT

Kasetsart Journal of Social Sciences

INFLUENCE FACTORS ON INTENTION TO USE MOBILE BANKING

Davood Karimzadgan Moghadam. Tehran, Iran. Davood Vahdat. Department of IT & Computer Engineering, Payame Noor University, P.O.

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and

Management Science Letters

A Study on the Effects of Relational Benefits and Customer Personality

A Study of the Correlations Between Consumption Experience, Customer Satisfaction, Brand Image and Behavior Intention of Motels in Taiwan

The Effects of Service Encounter and Experiential Value on Consumer Purchasing Behavior

The Effect of Benefits of Mobile Application use- Diffusion and Purchase Intention in Service Management

Factors Driving Mobile App Users to Pay for Freemium Services

LINKING ORGANIZATIONAL COMMITMENT AND ENVIRONMENTAL PERFORMANCE IN MEXICO ABSTRACT INTRODUCTION

The Impact of Mobile Shopping Quality on Customer Satisfaction and Purchase Intentions: The IS Success Based Model

An Examination of Perceived Value Dimensions of Hotel Visitors: Using Exploratory and Confirmatory Factor Analyses

THE MEDIATING EFFECT OF TQM PRACTICE ON COST LEADERSHIP STRATEGY AND IMPROVEMENT OF PROJECT MANAGEMENT PERFORMANCE

Examining How Festival Attendees' Motivation Affect Their Involvement and Satisfaction; Food & Wine Festival Attendees' Perspective

Examining How Festival Attendees' Motivation Affect Their Involvement and Satisfaction; Food & Wine Festival Attendees' Perspective

International Journal of Business and Administration Research Review, Vol. 1, Issue.2, April-June, Page 165

YAO Huili [a],* ; WANG Shanshan [b] ; MA Yanping [b]

Estimation of multiple and interrelated dependence relationships

Laleh Karamizadeh Corresponding Author: M.S.C., Management Department, Islamic Azad University, Branch of Dehaghan, Iran.

An Examination of Mobile Application Use Intention through the Unified Theory of Acceptance and Use Technology Model

RECONCEPTUALIZING BRAND LOYALTY: ITS CONCEPTUAL DOMAIN, COMPONENTS, AND STRUCTURE

LOYALTY OF WEB 2.0 SITES: THE ROLE OF SENSE OF BELONGING

A STUDY ON TRUST, BRAND IMAGE, EXPERIENTIAL MARKETING AND CUSTOMER LOYALTY

Tourist Attraction, Satisfaction, and Behavioral Intention of Industrial Tourist: Economic Factors as Moderator

The Study on the Antecedents of Relationship Quality and Loyalty of Urban Business Club: Landmark Club

A Study On Experiential Marketing With Reference To Mega Malls In Chennai

Factors Affecting the Use of a Medical Material Management Cloud - A Case Study of Telecommunications Company C

Relationships between process quality, outcome quality, satisfaction, and behavioural intentions for online travel agencies evidence from Taiwan

The Relationships among Organizational Climate, Job Satisfaction and Organizational Commitment in the Thai Telecommunication Industry

An Empirical Study on Customers Satisfaction of Third-Party Logistics Services (3PLS)

Assessing the Fitness of a Measurement Model Using Confirmatory Factor Analysis (CFA)

Journal of Chemical and Pharmaceutical Research, 2015, 7(3): Research Article

The Relationship between Perceived Service Quality and Fishermen Satisfaction

Exploring success factors for Taiwan s government electronic tendering system: behavioral perspectives from end users

Investigating the Relationships among E-Service Quality, Perceived Value, Satisfaction, and Behavioral Intentions in Taiwanese Online Shopping

Interrelationship of Experiential Marketing on Shopping Involvement: An Empirical Investigation in Organized Retailing

Building Customer Loyalty through CSR: Moderating Effect of Authenticity

Research on the Business Model of E-commerce Platform based on Value Co-creation Theory

The Influences of Brand Innovation on Customer Value: Using Double-Distal Mediators of Brand Perception and Brand Equity

The Role of Utilitarian and Hedonic Values and Their Antecedents in a Mobile Phone Multimedia Services (Irancell Vitrin Tm Services)

International Journal of Science and Research (IJSR) ISSN (Online): Index Copernicus Value (2013): 6.14 Impact Factor (2014): 5.

Understanding the Role of Individual Perception on Mobile Payment: Moderating or Mediating

An Emperical Study of Website Quality on Hotel Booking Online

Technology Acceptance Analysis of Local Government Tourism Website

THE LOOP MODEL: MODELING CONSUMER INTERACTIVITY IN CAMPAIGNS COUPLING SIMULTANEOUS MEDIA

7 Findings, Implications and Conclusions

Understanding of Antecedents to Achieve Customer Trust and Customer Intention to Purchase E-Commerce in Social Media, an Empirical Assessment

ECOFORUM [Volume 7, Issue 2(15), 2018] CUSTOMER LOYALTY MODEL: CUSTOMER SATISFACTION AS INTERVENING VARIABLE

A STUDY ON THE IMPACT OF HEDONIC SHOPPING VALUE ON IMPULSE BUYING AMONG CONSUMERS IN KOLKATA

The Impact of Marketing Strategies and Satisfaction on Student Loyalty: A Structural Equation Model Approach

The study of the effects and consequences. of perceived website attitude

Examining Brand Loyalty and Brand Consciousness through the Lens of Social Media Marketing

A Brand Equity Driving Model Based on Interaction Quality An Yan 1, a, Juanjuan Chen 2,b

Are innovative consumers prone to imitation perception? Developing a constructivist innovativeness model of imitation perception

Empirical Analysis in the Relationship Between the Consumption and Economic Growth Based on the Structural Equation Model

International Journal of Information Technology and Business Management 29 th April Vol.58 No JITBM & ARF. All rights reserved

Analyzing the Effect of Consumers Perception of Brand Personality on Purchase Intention (Case study: Maz Maz Company)

An Acceptance Attitude Model and Empirical Analysis Towards. Online Tourism Service

Figen Yıldırım, (PhD) Özgür Çengel, (PhD) Cihad Demirli, (PhD) Ali Altuğ Biçer, (PhD) Mehmet Sağlam, (PhD)

A Study on Acceptance of Selected FMCG Products among Women Managers in Tiruchirappalli District, Tamil Nadu

Brand Equity for Fast Fashion Brands. DECISION SCIENCES INSTITUTE Measuring the Consumer-Based Brand Equity for Fast Fashion Brands

By Samala Nagaraj & Dr. Sapna Singh

INTENTION TO USE OF SMART PHONE IN BANGKOK EXTENDED UTAUT MODEL BY PERCEIVED VALUE

STRUCTURAL EQUATION MODELLING OF FACTORS THAT INFLUENCE THE SHOPPERS PURCHASE DECISION THROUGH E COMMERCE

( )

Towards green loyalty: the influences of green perceived risk, green image, green trust and green satisfaction

Transcription:

November 2010, Volume 9, No.11 (Serial No.89) Chinese Business Review, ISSN 1537-1506, USA The effect of experiential value, perceived quality and customer satisfaction on Ming-Cheng Lai, Feng-Sha Chou (Graduate Institute of Business Administration, National Taipei College of Business, Taipei 100, Taiwan) Abstract: The current study represents an attempt at experiential value, perceived quality and customer satisfaction influence on customer lifetime value. The sampling frame consisted of Star Cruises purchases in Taiwan. The authors have collected yield 268 questionnaires, by screening out 13 questionnaires, including those missing value or incomplete answer, and finally a usable sample of 255 questionnaires were utilized in this study. The results show that experiential value, perceived quality and customer satisfaction have positive effects to customer lifetime value. Especially, experiential value has the strongest direct effect. Therefore, if resources are limited, the manager should focus on shaping the experiential value to increase customer lifetime value. Implications for marketing theory and practitioners are discussed, and possible directions for future research are sketched. Key words: experiential value; perceived quality; customer satisfaction; Star Cruises; customer lifetime value 1. Introduction In what has been dubbed an emerging Experience Economy, experiential value has been defined as perceptions are based upon interactions involving either direct usage or distanced appreciation of goods and services. These interactions provide the basis for the relativistic preferences held by the individuals involved (Holbrook & Corfman, 1985). Experiential value included both extrinsic and intrinsic benefit (Babin & Darden, 1995; Mano & Oliver, 1993). Although most empirical examinations of experiential value impact on satisfaction, and verified with regard to experiences with Internet shopping (Mathwick, et al., 2001). However, this study in Taiwan cruises industry, the extent to which customer satisfaction s impact of experiential value on consumer lifetime value is unconfirmed. Corporation s value based on customer perceived quality. Firms provide differentiate product or services that enhance customer subjective satisfaction. Customer perceived quality will impact degree of customer satisfaction. Accordingly, the purposes of this study is as follows: (1) to investigate the relationship between experiential value and perceived quality and customer satisfaction in cruises industry, (2) to explore the relationships between experiential value, perceived quality and customer lifetime value and (3) to understand the relationship between customer satisfaction and customer lifetime value. Ming-Cheng Lai, associate professor, Graduate Institute of Business Administration, National Taipei College of Business; research fields: marketing, human resources management, organizational behavior. Feng-Sha Chou, graduate student, Graduate Institute of Business Administration, National Taipei College of Business; research field: marketing. 55

2. Conceptual framework and the model The conceptual model is shown in Fig. 1. Experiential value Customer satisfaction Customer lifetime value Perceived quality Fig. 1 Conceptual model The model in Fig. 1 provides a pictorial representation about how selected customer lifetime value might affect experiential value and perceived quality, as discussed below. The model proposes that experiential value and customers quality perceptions are positive related to customer satisfaction. The proposition was deducted logically from the following research finding (Kwei & Ming, 2007; Chwo, Lei, Yu & Hsing, 2005; Shank, 2002; Ruth, 1998): First, experiential value and perceived quality have a direct positive effect on customer lifetime value; Second, customer satisfaction are positively associated with customer lifetime value; Third, experiential value, perceived quality and customer lifetime value have been shown to be theoretically and empirically distinct concepts, able to exist uniquely yet simultaneously. Taken together, these finding lead to the following questions: Do experiential value and perceived quality have direct effect on customer satisfaction? Do experiential value and perceived quality affect both customer satisfaction and lifetime value simultaneously? Does customer satisfaction have direct effect on customer lifetime value? Customer satisfaction studies in the marketing literature are influenced by several factors. In the field of cruise passengers, Petric (2004) provided evidence that passengers satisfaction is explained by value and quality. Previous research have investigated the relationships between quality satisfaction and behavior intentions. They provided the evidence that the quality of the opportunity has a direct effect on behavioral intentions, in addition to an indirect effect via satisfaction (quality of experience). Behavioral intentions are explained by both quality and satisfaction, which in turn explain loyalty and willingness to pay more (customer lifetime value) (Carlos & António, 2008). Previous theories suggest that customer satisfaction mediates the relationship between customer s quality perceptions and firm outcome (Oliver, 1997; Oliver, 1999). Wu and Liang (2009) found restaurant environment factors and interactions with other consumers indirectly and positively influence consumer satisfaction through experiential value. The distinction is important because each component might be provided by a different marketing entity. 3. Hypothesis development The following hypothesis is therefore presented based on previous research and these observations. Experiential value, customer satisfaction and customer lifetime value: H1: Experiential value has positive effect on customer satisfaction. H2: Experiential value has positive effect on customer lifetime value. 56

Perceived quality, customer satisfaction and customer lifetime value: H3: Perceived quality has positive effect on customer satisfaction. H4: Perceived quality has positive effect on customer lifetime value. Customer satisfaction and customer lifetime value: H5: Customer satisfaction has positive effect on customer lifetime value. 4. Method 4.1 Research context of Star Cruises purchases The purchase of Star Cruises is an appropriate context for the study of experiential value and perceived quality because it provides several desired characteristics: First, more people in Taiwan are more attach importance to leisure activity, and one of famous leisure activity is Star Cruises. Second, Star Cruises is the third largest cruise operator in the world, is a global cruise brand and the largest cruise operator in Aisa-Pacific. 4.2 Sample characteristics Among the total amount of 268 copies returned, 13 copies were either with omission or incomplete answer, a usable sample of 255 questionnaires was utilized in this study. About 59.8% is female; 25.7% are 21-29 years old; and 22.1% are 30-39 years old; 29.5% have senior high school degree; 28.7% have a college degree; 77% live in northern Taiwan. 5. Result 5.1 Scale reliabilities and validity The Cronbach s α coefficients indicate the internal consistency reliability. With regard to minimum acceptable criterion, Nunnally (1978) suggested that Cronbach s α a coefficient greater than 0.7 is high reliability while less than 0.35 is low reliability, which should be rejected. Table 1 summarized the result of internal consistency reliability as follows. From Table 1, the reliability of each of the four multi-item reflective scales exceeded 0.88 that would mean that the internal consistency reliability is high. In addition, the authors assess the reliability jointly for all items of a construct by computing the composite reliability (CR). From Table 1, composite reliability value for each construct was 0.88 or more and reveals an acceptable fit to the data. It exhibits that this study possesses the better composite reliability. Table 1 Scale reliabilities and validity Variables No. of items Factor loading Cronbach s α Eigenvalue Explained Composite variance reliability AVE Experiential value 6 0.68-0.93 0.933 4.512 0.752 0.933 0.701 Perceived quality 4 0.73-0.92 0.881 2.969 0.742 0.887 0.664 Customer satisfaction 4 0.76-0.94 0.924 3.274 0.819 0.926 0.759 Customer lifetime value 5 0.84-0.96 0.963 4.354 0.871 0.963 0.917 Validity is that the measurable implement is whether up accurately examine the level of items, which researchers want to measure. Factor analysis showed that the items loaded on a single factor, which provides proof of unidimensionality. This study computes that average variance extracted (AVE) to confirm the discriminant validity. In Table 1, the AVE exceeded 0.664, meaning the questionnaire used in this study performs converged validity. In addition, AVE can be used to evaluate discriminant validity. Table 2 shows the descriptive 57

statistics and correlations between the construct. Furthermore, in this study, the authors acquire factor loading in all constructs are all higher than 0.7 which means the overall questionnaire quality is good and has a better construct validity. Table 2 Analysis of discriminate validity (SEM correlations a ) Variables Experiential value Perceived quality Customer satisfaction Customer lifetime value Experiential value 0.701 b Perceived quality 0.921 0.664 Customer satisfaction 0.842 0.810 0.759 Customer lifetime value 0.897 0.895 0.808 0.917 Notes: a : All correlations are significant at p < 0.05; b : Diagonal elements in bold are square roots of average variable extracted (AVE). This study estimated the fit indexes indicate that the measurement model produces adequate fit to the data by confirmatory factor analysis (CFA), the result are summarized in Table 3. Table 3 Fit indexes of constructs Fit Indexes Threshold Experiential Perceived Customer Customer value quality satisfaction lifetime value RMSEA 0.05, 0.05-0.08 0.208 0.091 0.189 0.148 (McDonald & Ho, 2002) CFI 0.90 0.950 0.990 0.980 0.980 (Bentler,1995) GFI 0.90 0.870 0.990 0.960 0.950 (Bagozzi & Yi,1988) AGFI 0.80 0.710 0.940 0.810 0.850 (Sharma,1996) RMR 0.05 0.071 0.026 0.028 0.016 (Joreskog.& Sorbom, 1993) SRMR 0.08 (Hu & Bentler, 1999) 0.047 0.018 0.026 0.013 5.2 Model assessment and tests of hypothesis The relationships hypothesized in Fig. 1 were tested using LISREL 8.54 with the sample covariance matrix as input. The results are summarized in Table 4. Model fit statistics in Table 5 collectively indicate that the proposed model fit the data relatively acceptable (The model is saturated, the fit is perfect!). Among all the hypothesized paths run by LISREL, this study found the following outcomes in Table 4, that: (1) EV and PQ have significant positive effect on CS. (2) EV and PQ influences significantly, which is distinguished from the discussion in literature CLV. (3) Experiential value is the most important factor to influence customer satisfaction. Table 4 Measurement model results for theoretical model Theoretical model Parameter estimates t-value H1: EV CS 0.55 6.90* H2: EV CLV 0.39 5.23* H3: PQ CS 0.20 2.48* H4: PQ CLV 0.44 6.08* H5: CS CLV 0.15 2.60* Fit statistics The model is saturated, the fit is perfect! Notes: EV = Experiential value; PQ = Perceived quality; CS = Customer satisfaction; CLV = Customer lifetime value; * p< 0.05. 58

Table 5 shows the direct and indirect effect in the theoretical model. Examining along with Table 5, the authors find that CS may mediate the relationships between EV and CLV. The indirect effect of EV on CLV is 0.08 (t-value=2.43). But, PQ not significant indirect impact on CLV (path coefficient = 0.03, t-value=1.79). Table 5 The direct and indirect effect of modified model Customer satisfaction Customer lifetime value Path t-value Path t-value Experiential value Direct 0.55 6.90* 0.39 5.23* Indirect - - 0.08 2.43* Total 0.55 6.90* 0.47 6.86* Perceived quality Direct 0.20 2.48* 0.44 6.08* Indirect - - 0.03 1.79 Total 0.20 2.48* 0.47 6.50* Customer satisfaction Direct - - 0.15 2.60* Indirect - - - - Total - - 0.15 2.60* 6. Discussion and implication The goal of this research is to examine how experiential value and perceived quality affect customer satisfaction and customer lifetime value. A major result is that experiential value and perceived quality are positively related to both customer satisfaction and customer lifetime value simultaneously, provides future evidence that cruise passengers satisfaction are continuously influenced by customer s experiential value and perceived quality. In other words, the cruise firms have to establish good impression about high perceived quality and experiential value, then might achieve high customer satisfaction and customer lifetime value. The finding suggests that firm should focus on constructing customer perceived quality and intensify quality. Through customer perceived quality to influence buying intention, thus increasing loyalty to achieve high customer lifetime value. Finally, if firm can use the act of experiential value freely, that would let customer perceived more satisfaction. As buyer decision process becomes a more popular topic with both researches and managers, increased attention must be paid to its multiple conceptualizations and measurement strategies. Only when these issues have been attended to can researchers draw convincing concerning the consequences of experiential value and perceived quality for customer satisfaction and customer lifetime value. Many of the questions raised in this paper can only be answered by further empirical research. Future research could expand upon the current findings by examining the role played by possible experiential media such as oral and visual identity. References: Babin, B. J., William, R. D. & Griffin, M.. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(March), 644-656. Bolton, R. N.. (1998). A dynamic model of the duration of the customer s relationship with a continuous service provider: The role of satisfaction. Marketing Science, 17(1), 45-66. Carlos, M. S., Ramalho, C. & Silvestre, A. L.. (2008). Satisfaction and behavioural intentions of cruise passengers visiting the Azroes. Tourism Economics, 14(1), 169-184. Holbrook, M. B. & Corfman, K. P.. (1985). Quality and value in the consumption experience: Phaedrus rides again. In: Jacob, J. & Jerry, C. O. (Eds.), Perceived quality: How consumers view stores and merchandise. Lexington, MA: Lexington Books, 31-57. 59

Mano, H. & Oliver, R. L.. (1993). Assessing the dimensionality and structure of the consumption experience: Evaluation, feeling and satisfaction. Journal of Consumer Research, 20, 451-466. Mathwick, C., Malhotra, N. & Rigdon, E.. (2001). Experiential value: Conceptualization, measurement and application in the catalog and Internet shopping environment. Journal of Retailing, 77, 39-56. Nunnally, J. C.. (1978). Psychometric theory. New York: McGraw-Hill, Inc. Oliver, R. L.. (1997). Satisfaction: A behavioural perspective on the customer. Boston, MA: Irwin/McGraw-Hill. Oliver, R. L.. (1999). Whence consumer loyalty? Journal of Marketing, 63(4), 33-44. Petrick, J. F.. (2004). The roles of quality, value, and satisfaction in predicting cruise passengers behavioural intentions. Journal of Travel Research, 397-407. Shank, L. P.. (2002). Customer s perceptions of quality,value and satisfaction: A behavioral consequences view. D.B.A., Nova Southeastern University Shieh, K. F. & Cheng, M. S.. (2007). An empirical study of experiential value and lifestyles and their effects on satisfaction in adolescents: An example using online gaming. Academic Research Library, 42(Spring), 199-215. Wu, C. H. J. & Liang, R. D.. (2009). Effect of experiential value on customer satisfaction with service encounters in luxury-hotel restaurants. International Journal of Hospitality Management, 28(4), 586-593. Yu, C. J., Wu, L. Y., Chiao, Y. C. & Tai, H. S.. (2005). Perceived quality, customer satisfaction, and customer loyalty: The case of lexus in Taiwan. Total Quality Management & Business Excellence, 16(6), 707. (Edited by Ruby and Chris) 60