Impacts of Utilitarian and Hedonistic Values of Online Shopping on Preferences and Intentions of Consumers



Similar documents
Service quality: beyond cognitive assessment Bo Edvardsson Service Research Center, Karlstad University, Karlstad, Sweden

The Relationships between Perceived Quality, Perceived Value, and Purchase Intentions A Study in Internet Marketing

MAGNT Research Report (ISSN ) Vol.2 (Special Issue) PP:

Impact of Utilitarian and Hedonic Shopping Values on Individual s Perceived Benefits and Risks in Online Shopping

Conceptualising and Modelling Virtual Experience for the Online Retailer: The 3D Technology

Assessing CRM indicators effects on creating brand image at health care services

Gender differences in adolescents online shopping motivations

The impact of relationship marketing on customer loyalty enhancement (Case study: Kerman Iran insurance company)

Service Quality, Customer Satisfaction, Perceived Value and Brand Loyalty: A Critical Review of the Literature

E-commerce: It s Impact on consumer Behavior

A Study of Consumers Organic Products Buying Behavior in Taiwan - Ecologically Conscious Consumer Behavior as A Segmentation Variable

Customer Experience Management Influences Customer Loyalty: Case Study of Supercenters in Thailand

The Effect of Internal Marketing on Employees' Customer Orientation in Social Security Organization of Gilan

Use of Internet in University Sport Marketing in Iran

Potentiality of Online Sales and Customer Relationships

*Author for Correspondence. Keywords: Social Responsibility, Market Orientation, Customer Relationship Management, Performance

DETERMINANTS OF CUSTOMER SATISFACTION IN FAST FOOD INDUSTRY

Proceedings of the 7th International Conference on Innovation & Management

' ' Proceedings'Editors:' Colin'Campbell' Kent'State'University' and' Junzhao'(Jonathon)'Ma' Monash'University'

The Influence of Trust and Commitment on Customer Relationship Management Performance in Mobile Phone Services

MAGNT Research Report (ISSN ) Vol.2 (Special Issue) PP:

Relationship Between Customers Perceived Values, Satisfaction and Loyalty of Mobile Phone Users

The Influences of Perceived Value on Consumer Purchase Intention: The Moderating Effect of Advertising Endorser

Consumers attitude towards online shopping: Factors influencing employees of crazy domains to shop online

THE IMPACT OF CORPORATE SOCIAL RESPONSIBILITY ON CONSUMER SATISFACTION (A CASE STUDY: CAR INDUSTRY IN SHIRAZ)

086 The study of the Factors Affecting the Customer Loyalty of Lotteria fast food restaurants in Yangon, Myanmar

The influence of electronic customer to customer interaction on customer loyalty Xue jing1,a and Xuewei2,b

Investigating the effective factors on Customer Relationship Management capability in central department of Refah Chain Stores

INVESTIGATION OF EFFECTIVE FACTORS IN USING MOBILE ADVERTISING IN ANDIMESHK. Abstract

Universal Journal of Management and Social Sciences Vol. 5, No. 5; May 2015

Experiential Marketing: An Insight into the Mind of the Consumer

Factors affecting Repatronage Intensions of Male. Customers on Entertainment Services

Technology, Kaohsiung 811, Taiwan. 2 Department of Logistics Management, Shu-Te University, 59 Hun Shan Rd., Yen Chau, Kaohsiung 82445, Taiwan.

What matter experiential value in casual-dining restaurants?

The effect of social value on the Bank customer loyalty (Case Study: branches of Mellat Bank in the city of Isfahan)

FACTORS AFFECTING CUSTOMERS BUYING DECISIONS OF MOBILE PHONE: A STUDY ON KHULNA CITY, BANGLADESH

A Conceptual Model of Channel Choice: Measuring Online and Offline Shopping Value Perceptions

SCIENCE ROAD JOURNAL

International Tourism Market Segmentation Based on Consumer Behavior

Ali Shahnazari 1 *, Mohammad Movazzeri Ghiri 2, Shima Jannati 3

J. Appl. Environ. Biol. Sci., 5(5) , , TextRoad Publication

The Relationship between Knowledge Management Elements and Organizational Learning among Faculty Members of Islamic Azad University of Dezful

ijcrb.com INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS JULY 2014 VOL 6, NO 3

RELATIONSHIP BETWEEN BUSINESS INTELLIGENCE AND ORGANIZATIONAL PERFORMANCE (CASE STUDY: FOOD INDUSTRY COMPANIES IN RASHT INDUSTRIAL CITY)

The Study of the Effect of Brand on Customer Loyalty of Electronic products

Allocation of Resources to Customer Satisfaction and Delight Based on Utilitarian and Hedonic Benefits

STUDYING OF THE EFFECT OF INFORMATION TECHNOLOGY ON SUPPLY CHAIN PROCESSES AND ORGANIZATIONAL PERFORMANCE (CASE STUDY: PARSIAN GAS REFINERY COMPANY)

A Survey of the Relationship between Quality of Work Life and Customer Relationship Management (Case Study: Keshavarzi Bank Branches of Kermanshah)

A Proposal Framework for investigating the impact of customer relationship management on customer retention in e-commerce

The Relationship between Service Quality and Perceived Value with Customer Loyalty and Aerobic Fitness Clubs in Tabriz

BRAND REPUTATION AND COSTUMER TRUST

BRAND TRUST AND BRAND AFFECT: THEIR STRATEGIC IMPORTANCE ON BRAND LOYALTY

Experiential marketing, customer satisfaction, behavioral intention: timezone game center surabaya

Determinants of Customer Retention: Offering a Model to Banking Industry

The Study of Relationship between Customer Relationship Management, Patrons, and Profitability (A Case Study: all Municipals of Kurdistan State)

Designing a Model for Pathology of Personnel Performance Appraisal in Zanjan Bureaucracies

The Relationship of E-CRM, Customer Satisfaction and Customer Loyalty. The Moderating Role of Anxiety

BRAND EXPERIENCE'S INFLUENCE ON CUSTOMER SATISFACTION AND LOYALTY: A MIRAGE IN MARKETING RESEARCH?

The Effects of Store Layout on Consumer Buying Behavioral Parameters with Visual Technology

References Baker, J. (1987). The role of the environment in marketing services: The consumer perspective. In J. Czepiel, C. Congram, & J.

SEM Analysis of the Impact of Knowledge Management, Total Quality Management and Innovation on Organizational Performance

Service quality, customer value and satisfaction relationship revisited for online wine websites

The Online Banking Usage in Indonesia: An Empirical Study

Keywords: Brand, Brand Equity, Integrated Marketing Communications, Insurance Industry

The Effect of Switching Barriers on Customer Retention in Korean Mobile Telecommunication Services

A Bibliometric Analysis on Online Shopping

Journal of Renewable Natural Resources Bhutan ISSN:

Factors affecting the electronic exchange of data through Viral Marketing. (Case study: E-commerce users in Rasht city)

Studying the Effects of Customer Relationship Management on the Marketing Performance (Isfahan Saderat Bank as a case Study)

Impact of Rationality in Creating Consumer Motivation (A Study of State Life Insurance Corporation Peshawar - Pakistan) Shahzad Khan

The Effect of Perceived Value on Customer Loyalty in a Low-Priced Cosmetic Brand of South Korea: The Moderating Effect of Gender

Factors Affecting Demand Management in the Supply Chain (Case Study: Kermanshah Province's manufacturing and distributing companies)

Department of Education Administration, School of Humanities, Saveh Branch, Islamic Azad University (IAU), Saveh, Iran

Exploring the Antecedents of Electronic Service Acceptance: Evidence from Internet Securities Trading

Review and Rating factors affecting the Deployment of (CRM) Customer Relationship Management at Nestle Company

THE IMPORTANCE OF BRAND AWARENESS IN CONSUMERS BUYING DECISION AND PERCEIVED RISK ASSESSMENT

Epistemologia. Check-mail marketing software and e-commerce customer behavior. Available online at ISSN:

Journal of Business Research

Journal of Internet Banking and Commerce

Merged Structural Equation Model of Online Retailer's Customer Preference and Stickiness

Effective customer relationship management of health care: a study of hospitals in Thailand

Vaciado de artículos. Journal of marketing research , v. 50, n. 4, august, p

A STUDY ON CONSUMER BEHAVIOUR TOWARDS ONLINE SHOPPING IN COIMBATORE DISTRICT

The Effect of Price Discounts and Store Image on Consumer s Purchase Intention in Online Shopping Context Case Study: Nokia and HTC

Evaluating the Relationship between Service Quality and Customer Satisfaction in the Australian Car Insurance Industry

Do I Want to Pay to Download Movies? Predicting Acceptance of Legal Online Movie Download Services

Consumer Motivations for Online Shopping

Sayed Mahmoud Shabgoo Monsef. Mehdi Fadaei. Department of Business Management, Islamic Azad University, Rasht branch, Rasht, Iran

The Role of Customer Value on Satisfaction and Loyalty (Study on Hypermart s Customers)

PERSONALITY FACETS AND CUSTOMER LOYALTY IN ONLINE GAMES

Consumer behavior towards online marketing

Investigation of the Effects of Reward Granting Program on Purchase Purpose, Type and Timing of Reward

IMPACT OF EFFECTIVE ORGANIZATIONAL CHARACTERISTICS ON ADOPTION OF CUSTOMER RELATIONSHIP MANAGEMENT IN MELLI BANK BRANCHES IN KHUZESTAN PROVINCE-IRAN

in nigerian companies.

Copyright subsists in all papers and content posted on this site.

AN EMPIRICAL ANALYSIS OF THE RELATIONSHIP BETWEEN WEBSITE CHARACTERISTICS AND CONSUMER ONLINE BUYING BEHAVIOR

THE STUDY OF THE EFFECTIVENESS OF RELATIONSHIP MARKETING STRATEGIES ON CUSTOMERS` LOYALTY (CASE STUDY: TEJARAT BANK OF SISTAN AND BALUCHESTAN)

Does Trust Matter to Develop Customer Loyalty in Online Business?

EXPLAIN THE EFFECTIVENESS OF ADVERTISING USING THE AIDA MODEL

THE EFFECT OF WEBSITE DESIGN QUALITY ON THE CUSTOMER S TRUST AND REPURCHASE INTENTION FROM COSMETIC WEBSITES

Transcription:

Impacts of Utilitarian and Hedonistic Values of Online Shopping on Preferences and Intentions of Consumers Dr.Majid Nili Department of Management, Najafabad Branch, Islamic Azad University, Isfahan, Iran Davood Delavari Master of of Business Management, Najafabad Branch, Islamic Azad University, Isfahan, Iran Abstract Nafiseh Tavassoli Department of Management, Najafabad Branch, Islamic Azad University, Isfahan, Iran Razieh Barati Department of Management, Najafabad Branch, Islamic Azad University, Isfahan, Iran Given to the ever-increasing development of human societies and necessity of productivity increase in all daily activities, using electronic systems is unavoidable. This is true about the process of shopping and utilizing electronic methods especially internet is increasing day by day. The present survey was formed through the intentions variable as the dependent variable, utilitarian and hedonistic values as independent variables and preferences as the mediating variable. Students of the Islamic Azad University, Tehran Science and Research branch were the statistical population and three-hundred seventy nine persons were selected using stratified random sampling proportional to the sample volume. Obtained results of testing hypotheses through structural equations model using SPSS and PLS software (statistical analysis) reveal that judgments about hedonistic and utilitarian values have a significant relationship with preferences. Also preferences have a significant relationship with future shopping intentions. Generally it can be argued that judgments of hedonistic and utilitarian values have a direct impact on preferences in online retailers and thus on future shopping intentions. Keywords: utilitarian values, hedonistic values, intentions, preferences Introduction Nowadays, hedonistic values in shopping have a special importance for consumers. These values have had a considerable impact on consumers' behavior and choosing the products and brands by them. The difference among people while buying the products is considerable given 82 www.hrmars.com/journals

that consumption values include both hedonistic and utilitarian values. Purpose of marketing is to provide and satisfy the needs of customers. Few researchers have today dealt with the relationship between consumer shopping value and his/her intentions for buying in online retailing. Therefore, most of the current studies are limited to retailing sectors at off-line level. Theoretical framework of the survey (previous studies and research hypotheses) Hedonistic values The term hedonistic value has been recognized as separation of consumers' behavior based on mental criterions. These criterions illustrate multisensory, fanciful and exciting aspects of a product that has been experienced. In contrast, there are objective criterions related to goods and products which have utilitarian application. Multisensory aspects reflect sensory dimensions (taste, smell, vision, touch and audition) of a perceived experience. Perhaps these experiences can not re-read a series of historical images. As a whole, multi-sensory inputs can be directed towards emotional excitements, i.e. evoking emotions like pleasure, envy, fear and anger. A prominent example of this fact is a person who ate at a restaurant for some time and he/she might not be able to remember objective factors such as price of foods or physical conditions of the restaurant when came back after a while but he/she remembers mental factors such as enjoying a live music (Boter & Wedel, 1999). Utilitarian values Babin et al (1994) stated that customers believe utility-driven value is related to reasonable and task-related shopping behavior and informed results of that intended shopping. These customers describe shopping followed by a work-oriented task and evaluate it as conducting a work or failure to finish a shopping task or the joy and pleasure obtained through obtaining the goods and products. They intend to minimize any repetition of the search process in shopping malls (stores) and focus on purchasing a certain product (Babin et al, 1994). These customers take part in online shopping, because such kind of shopping gives them accessible and easy to use information about the products, selection of products and customer services and provides the possibility for them to have a sense of freedom and control regarding the process of their shopping before buying at traditional stores and shopping malls (Childres et al., 2001). Moreover, proper information about the product, existing products in the shelf and competitive prices of products are important for utility-driven customers. People with stronger utilitarian values have more intention towards a simpler life style and also they pay more attention to consumer necessities in order to continue their life. They consider the products as a tool to reach high-level purposes in their life and pay less attention to pleasure and entertaining aspects of the products. As a result, they have more intention to be aware of the products' value and value money paid for it more (Feinberg et al., 1992, 229). 83 www.hrmars.com/journals

In contrast, people who focus on hedonistic values are modern consumers who intend to consume their excessive income for enjoyment, satisfaction and achieving new utilities of consumption (Wang et al., 2000). For this reason, consumers having stronger hedonistic values may just be dissatisfied with functional value of products. Rather they are more interested in the emotional value such as brand, design, appearance and packaging than quality and price of the products. Such emotional values are due to the immediate pleasure created through hedonistic shopping experience by them (Fischer & Arnold, 1990). Helpful and utilitarian reasons Pleasure is the first dimension that is obtained through consumption experience of a product and utilitarian is the second dimension that is resulted from the product's function (Voss Spangenberg & Grohnmann, 2003). According to studies conducted by Carrigan and Attalla (2001) attention and apparent concern of consumers to ethics do not necessarily lead to an ethical shopping by them. And emotional relations with the brand are often preferred to ethical concerns. This impact is very important especially for the global brands (Rice & Wongtada, 2007). Methodology This survey was conducted using survey-correlational method, since what a group of people know, think or do is investigated and also it seeks relation between two variables and its extent if there is any relation. Correlational studies never specify a cause and effect relationship; they just describe existence of a relation. Sampling method, volume and the formula to determine sample volume Statistical population of this survey included students and the spatial domain was Islamic Azad University, Tehran Science and Research branch in which there are 24174 students. Reasons of selection are as below: Stratified random sampling proportional to volume was used. Volume of the statistical population was equal to 24174 persons. Therefore, minimum sample volume in the Islamic Azad University, Tehran Science and Research branch was selected equal to 379 persons based on Krejcie and Morgan table (1970) with 5% error. Given to formula where I is sample distance, N is volume of the statistical population and n is sample volume, distance for the whole population was obtained and then population of each class was divided by distance to determine portion of each group or class. Measurement indexes proposed by the most prominent scholars were used to measure the variables. Questionnaire was the measurement tool in this survey. 84 www.hrmars.com/journals

Validity and reliability of the questionnaire CVR coefficient was used to measure content validity. Minimum amount of this coefficient for 15 experts is equal to 0.49 and amount of CVR coefficient for all variables is more than 0.49. Hence, it can be stated that questions have the necessary content validity. Reliability coefficient was used to measure reliability and this quantity usually changes from 0 (lack of relation) to +1 (total relation). Indeed reliability coefficient shows the measurement tool measures testable stable characteristics or variable and transitional characteristics to what extent. Cronbach alpha method was used in this survey to determine reliability of the questionnaire. Alpha was equal to 0.754 and 0.817 in pre-test and post-test questionnaires that were more than 0.7, thus the questionnaire was reliable. Therefore, it is possible to start statistical operations on this questionnaire. Figure 1- Research model in the state of estimating standard coefficients 85 www.hrmars.com/journals

Figure 2- Research model in the state of coefficients' significance Responding to research hypotheses using structural equations model (SEM) Another type of relations among latent variables in structural equations model is direct effect. It is indeed one of the compositions of structural equations model and shows a directional relationship between two variables. These relations are mainly evaluated through ANOVA. This effect indicates the assumed causal linear impact of a variable on another variable. Each direct effect in a model determines a relationship between an independent variable and a dependent variable although a dependent variable in another direct effect can be an independent variable and vice versa. Besides, a dependent variable in a multi-regression model could be related with several dependent variables and also an independent variable in MANOVA could be related to several dependent variables. The fact that the dependent variable can become an independent variable in some cases causes to create a third relation called indirect effect. In fact it is the effect of an independent variable on a dependent variable through one or more mediating variables. The mediating variable in this effect plays the role of an independent variable with 86 www.hrmars.com/journals

regard to a variable and role of the dependent variable with regard to another variable. Preferences variable in on-line retailers in this survey is the mediating variable. Table 8- Results of research hypotheses Research hypotheses Path t-statistic Result of coefficient (β) hypothesis Utilitarian value judgments 0.25 3.18** It is confirmed preferences in retailers Hedonistic value preferences in 0.45 5.73** It is confirmed retailers Preferences in retailers future shopping 0.64 6.60** It is confirmed intentions Utilitarian value judgments preferences 0.16 3.05** It is confirmed in retailers future shopping intentions Hedonistic value preferences in 0.28 5.08** It is confirmed retailers future shopping intentions ** Significant at confidence level 99%. * Significant at confidence level 95%. Research hypotheses Hypothesis 1: utilitarian value judgments have a direct impact on preferences for online retailers. H0: utilitarian value judgments do not have a direct impact on preferences for online retailers. H1: utilitarian value judgments have a direct impact on preferences for online retailers. According to results obtained through path coefficient and t-statistic, utilitarian value judgments variable has a significant impact on preferences for online retailers at confidence level 99%. (T-statistic is not in the range -2.58 to +2.58.) Considering the positive coefficient of this path it can be stated that this relation is direct. Hypothesis 2: hedonistic value judgments have a direct impact on preferences for online retailers. H0: hedonistic value judgments do not have a direct impact on preferences for online retailers. H1: hedonistic value judgments have a direct impact on preferences for online retailers. According to results obtained through path coefficient and t-statistic, hedonistic value judgments variable has a significant impact on preferences for online retailers at confidence level 99%. (T-statistic is not in the range -2.58 to +2.58.) Considering the positive coefficient of this path it can be stated that this relation is direct. 87 www.hrmars.com/journals

Hypothesis 3: preferences in online retailers have a direct impact on future shopping intentions. H0: preferences in online retailers do not have a direct impact on future shopping intentions. H1: preferences in online retailers have a direct impact on future shopping intentions. According to results obtained through path coefficient and t-statistic, preferences in online retailers variable has a significant impact on future shopping intentions at confidence level 99%. (T-statistic is not in the range -2.58 to +2.58.) Considering the positive coefficient of this path it can be stated that this relation is direct. Conclusion and recommendations According to results obtained through path coefficient and t-statistic, research variables have a significant impact on preferences for online retailers at confidence level 99%. (T-statistic is not in the range -2.58 to +2.58). Given to the positive coefficient of these paths it can be indicated such relations are direct and thus when research variables become positive, preferences for online retailers are increased and if they are negative, preferences for online retailers are decreased. Thus, research hypotheses are confirmed. Comparison with previous research results: result of hypotheses is consistent with theoretical bases of the survey. Results of this survey are consistent with findings of J Orbai et al's research (2006). Interpretation of test results: it can be argued that Iranian lifestyle or lifestyle of consumers in Tehran has directed them towards the way so that their utilitarian value judgments are affected by their preferences for shopping. Because there is no competitiveness among online retailers in Iran and given that they will become competitive in a near future it is a suitable opportunity for managers to look for strategies to obtain more market share and finally increased profitability of their retailers and stability in the competition market. Rapid development of e- commerce and number of internet users in recent years have created suitable opportunities for online shopping among the consumers. Of course it is noteworthy that online shopping and growth of such shopping have not already developed based on internet development. Marketing specialists are faced with many challenges to encourage people towards online shopping, since people might be affected more by personal resources like their friends and family given to shopping culture of Iranians. Therefore, online retailers have to consider an appropriate budget for their advertisements in the internet. Indeed retailers can concentrate on special values for consumers like discounts and various auctions or even word of mouth advertising. In addition, marketing researchers can be aware of the manner of consumers' whims when they do online shopping. They can use sale techniques in this regard such as noticeable 88 www.hrmars.com/journals

discounts and applying an advertising slogan, since these researchers take the responsibility of market portion increase for consumers. According to results of this survey, online purchasers are interested in adventure and getting over the process of shopping and they behave in this manner even about the products they do not need or want. References Babin BJ, Attaway JS. Atmospheric affect as a tool for creating value and gaining share of customer. J Bus Res 2000;49:91 9. Babin, B. J., Darden, W. R. & Griffin, M. (1994), Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of Consumer Research. Vol. 20, No.4, PP. 644-56. Bagozzi RP, Dholakia U. Goal setting and goal striving in consumer behavior. J Mark 1999;63:19 32. Barata, R., Ahtola, O.T., (1991). Measuring the hedonic and utilitarian sources of customer attitudes. Marketing Letters. 12 (2), PP. 159 170. Bellenger, D. N., Robertson, D. H. & Greenberg, B. A. (1977), Shopping center patronage motives. Journal of Retailing. 53 (2), PP. 29. Blackwell, R., Miniard, P., Engel, F. (2000), Consumer Behavior. South-Western College Publishing. Bloch, P. H., Bruce, G. D. (1984), Product involvement as leisure behavior. In:Kinnear, T.C. (Ed.). Proceedings of the Association for Consumer Research Conference. Ann Arbor, MI, PP. 197 202. Bolton RN, Drew JH. A multistage model of customers' assessments of service quality and value. J Consum Res 1991;17(4):375 84. Burke, K. (1999), Creating a compelling online experience, CatAge, PP. 16-109. Burke, R. R. (1997), Do you see what I see? The future of virtual shopping. PP. 52 60. Carpenter, J. M. (2008), Consumer Shopping Value, satisfaction and loyalty in discount retailing. Journal of Retailing and Consumer Services. No. 15, PP. 358-363. Carpenter, J. M. & Moor, M. (2009), Utilitarian and Hedonic Shopping Value in the US discount sector. Journal of Retailing and Consumer Services. No. 16, pp. 68-74. Childers, T. L., Christopher L. C., Peck, S. J. & Carson, S. (2001), Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing. Vol. 77, No. 4, PP. 511 535. Crockett RO. Keep em coming back. Bus Week 2000;3681:EB20. Cronin JJ, Brady MK, Hult TM. Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. J Retail 2000;76(2):193 205. Darden WR, Reynolds FD. Shopping orientations and product usage rates. J Mark Res 1971;8:505 8. Dhar, R. & Wertenbroch, K. (2000), Consumer choice between hedonic and utilitarian goods. Journal of Marketing Research. Vol. 37, (February), PP. 60-71 Dick AS, Basu K. Customer loyalty: toward an integrated conceptual framework. J Acad Mark Sci 1994;22(2):99-113. 89 www.hrmars.com/journals

Dodds WB, Monroe KB, Grewal D, 1991. Effects of price, brand and store information on buyers' product evaluations. J Mark Res 2001;28 (August):307 19. Erdem T, Swait J. Brand equity as a signaling phenomenon. J Consum Psychol 1998;7:131 57. Grewal D, Monroe KB, Krishnan R. The effect of price-comparison advertising on buyers' perception of acquisition value, transaction value, and behavioral intentions. J Mark 1998;62:46 59. Gurley JW. The one Internet metric that really matters. Fortune 2000;141:392. Grewal D, Gopalkrishnan RI, Krishnan R, Sharma A. The Internet and the pricevalue- loyalty chain. J Bus Res 2003;56(5):391 8. Hawakins, D. L., Mothersbaugh, D. L. Best, R. J. (2007), Consumer behavior, building marketing strategy, Mc Graww-Hill, New York. Hirschman, E. C. & Holbrook, M. B. (1982), Hedonic consumption: emerging concept, method and propositions. Journal of Marketing. Vol. 46, No. 3, PP. 92-101. Hirschman, E. C. (1983), Aesthetics, ideologies and the limits of the marketing concept. Journal of Marketing. Vol. 47, No.3, PP. 45-55. Hoffman D.L. & Novak T.P. (1996), Marketing in hypermedia computer mediated environments: conceptual foundations. Journal of Marketing Research. No. 60, PP. 50 68. Holbrook MB. The nature of customer value: an axiology of service in the consumption experience. In: Oliver Richard Rust Roland T, editor. Service quality: new directions in theory and practice. London: Sage Publications; 1994. p. 21 71. Holbrook, M. B, & Moore, W. L. (1981), Feature interaction in consumer judgements of verbal versus pictorial representation. Journal of Consumer Research. Vol. 8, PP. 103-13. Holbrook, M. B. & Hirschman, E. C. (1982), The experiental aspect of consumption: consumer fantasies, feeling and fun. Journal of Consumer Research. Vol. 9, No. 2, PP. 132-40. Jarvenpaa SL, Todd PA. Consumer reactions to electronic shopping on the World Wide Web. Int J Electron Commer 1997;1(2):59 88 Jones, M. A., Reynolds, K. E. & Arnold, M. J. (2006), Hedonic and utilitarian shopping value: investigating differantal effects on retail outcomes. Journal of Business Research. Vol. 59, No. 9, PP. 974-981. Kim Y-K. Consumer value: an application to mall and Internet shopping. Int J Retail Distrib Manag 2002;30(11/12):595-604. Laermans, R. (1993), Learning to consume: early department stores and the shaping of modern consumer culture. Theory, Cult Soc, No, 10, PP. 79 102. Lee, C. C. (2006). Predicting tourist attachment to destinations. Journal of Annals of Tourism Research. 28(1), PP. 229 232. Mathwick C, Malhotra N, Rigdon E. Experiential value: conceptualization, measurement, and application in the catalog and Internet shopping environment. J Retail 2001;77:39 56. Mitchell A. Why old retail model won't work on the Net. Mark Week 2000;23 (17):36 7. Moe, W. W. & Father, P. S. (2001), Modeling hedonic portfolio products: a joint segmentation analysis of music compact disc sales. Journal of Marketing Research. Vol. 38, No, 3, PP. 379-85. Moven, J. (1996), Consumer behavior, New Jersy, Prentice Hall. 90 www.hrmars.com/journals

Moven, J. & Minor, J. (2001), Consumer Behavior, New Jersi, Prentice Hall. Pritchard MP, Havitz ME, Howard DR. Analyzing the commitment-loyalty link in service contexts. J Acad Mark Sci 1999;27(3):333 48. Raghunathan, R. & Irwin, J. R. (2001), Walking the hedonic product treadmill: default contrast and mood base assimilation in judgements of predicted happiness with a target product. Journal of Consumer Research. Vol. 28, No. 3, PP. 355-68. Reynolds, K. E. & Arnold, M. J. (2000), sustomer loyalty to the salesperson and the store:examining relationship customers in an upscale retail context. Journal of Personal Selling and Sales Management. Vol. 20, No. 2, PP. 89-98. Rewick J. Clinching the Holiday E-Sale-some 65% of online shoppers bolt at the checkout point; e-tailers try to keep them.wall St J 2000:B1 Roest H, Pieters R. The nomological net of perceived service quality. Int J Serv Ind Manag 1997;8(4):336 51. Ryu, G., Park, J. & Feick, L. (2006), The role of product type and country-of-orgin in decision about choice of endorser ethnicity in advertising. Journal of Psychology & Marketing. Vol. 23, No. 6, PP. 487-513. Sen, S. & Lerman, D. (2007), Why are you telling me this? An examination into negative consumer reviews on the web. Journal of Interactive Marketing. Vol. 21, No. 4, PP. 76-94. Sherry J. F., (1990), A sociocultural analysis of a Midwestern American flea market. Journal of Consumer Research. 17 (1), PP. 13 30. Sheth JN. An integrative theory of patronage preference and behavior. In: Darden WR, Lusch RF, editors. Patronage behavior and retail management. New York: Elsevier Science Publishing Co.; 1983. p. 9 28. Shop.org. [homepage on the Internet]. Washington, D.C.: National Retail Federation; [cited 2004 Aug 7]. The State of Retailing Online 6.0. Available from: http://www.shop.org/research/reports.asp. Sinha I, DeSarbo WS. An integrated approach toward the spatial modeling of perceived customer value. J Mark Res 1998;25(2):236 49. Swinyard WR, Smith SM. Why people (don t) shop online: a lifestyle study of the Internet consumer. Psychol Mark 2003;20(7):567 97. Tauber, Edward M. (1972). Why do people shop?. Journal of Marketing. 36(October), PP. 46 49. Teo T. Demographic and motivation variables associated with Internet usage activities. Internet Res 2001;11(2):125 37. Voss, K. E., Spangenberg, E. R. & Grohmann, B. (2003), Measuring the hedonic and utilitarian dimensions of consumer attitude. Journal of Marketing Research. Vol. 40, No. 3, PP. 310-20. Woodruff RB. Customer value: the next source for competitive advantage. J Acad Mark Sci 1997;25:139 53 Webster, J. T.(1993).The dimensionality and correlates of flow in human computer interactions, Computers in Human Behavior 9, 411-426. Westbrook, R. B.(1985).A motivation-based shopper typology, Journal of Retailing 61 (1), 78 103 91 www.hrmars.com/journals

Wolfinbarger, M. G.(2001).Shopping online for freedom, control and fun, California Management Review 43 (2), 34 55 Zeithaml, V.A., Berry, L.L. & Parasuraman,A. (1996). The behavioral cinsequences of service quality. Journal of Marketing. Vol. 60, No. 2, PP.31-46. 92 www.hrmars.com/journals