Online Shopping: The Effect of Consumer Satisfaction, Perceived Ease of Use, and Perceived Usefulness of Buying Intention

Topics: Marketing, Online shopping, Factor analysis Pages: 12 (3307 words) Published: September 8, 2011
Chapter 1
Introduction

1.1 Abstract
Literally, the exponential growth in e-commerce sic the advent of internet and it s its adoption in marketing by incumbents like Amazon .com, the behavior of the consumer through virtual market has been an elaborated critical issue for marketers and researchers. Essentially, myriad numbers of studies have been conducted by researchers and scholars, however, still the lack of proper and thorough model is felt by online product /service providers. In these paper four essential factors in understanding behavior of the consumers in virtual market is scrutinized to help decision makers and managers to maximize their return by maintaining their consumer loyalty and so by frequent purchasing intention.

1.2 Introduction
For advent of the internet to the marketing arena by incumbents like amazoon.com understanding the behavior and attitude of the consumers online long has been the topic of the interest for marketer and thereby for scholars too. Primarily, the nature of shopping online is different from shopping offline where consumers can actually see, touch, and make eye-contact with seller .thus; the experience that the consumer would gain will differ substantially. As long as, the shopping experience of the consumers is deemed to be the determinants of myriad number of the consumers behavioral traits and attitudes, understanding the determinants of the consumer behavior and critical factors that would affect consumer experience both negatively and positively is noteworthy and a critical scope for extensive study and research. Due to the fact that each probable online shopper would have defined different objectives for shopping a specific product/ service multitude number of variables has found to be significant in this arena. However, the all the applied methodologies to study these variables can be categorized into three or four groups. Some researchers focus their attention to the websites environment and structure, in contrast with this folk some study the applicability of the website i.e. method of utility. However the most controversial and interesting field study encompasses the behavior and experience of the consumer that would amount to the frequent buying behavior and intention to purchase online and consumer loyalty (Featherman, & Pavlou, 2003). First and foremost, this paper shed light on some specific area in online consumer behavior including the relationship between consumer satisfactions, perceived ease of use, perceived usefulness, and intention to purchase online. Mainly, by establishing six hypothesis four confirmatory and two exploratory, this study attempts to extend the body literature spectrum in the field of study.

Key words: consumer satisfaction, perceived ease of use, perceived usefulness, intention to purchase online, online consumer behavior.

Chapter 2
Literature Review

2.1 Technology Acceptance Model (TAM)
Davis et al (1989) explained TAM as a theoretical institution to elucidate and forecast the acceptance of information technology. Chiefly, this theory stemmed from Theory of Reasoned Action (TRA), which identifies tow factors of attitude and intention to perform, as motivators of social behavior (Fishbein & Ajzen, 1975) .Based on TRA, time and accessible context are two underlying factors that peoples intend to behave based on them. Literally, Total Acceptance Model theorized by Davis et al (1989), explicate the way peripheral factors affect attitude and behavioral intention. 2.2 Satisfaction

Primarily, consumer satisfaction is defined as the accumulated consumer experience (Johnson, 2001; Olsen, 2002). Moreover, there are multitudes of studies which identify consumer satisfaction as the fundamental determinant of repurchase intention (Olsen, 2007; Szymanski & Henard, 2010). DeLone & McLean (1992) pointed out satisfaction as the highly applied factor for measure of online retailer success. Thus, satisfaction can be used as one the...

References: Olsen, S. O. (2002), “Comparative evaluation and the relationship between quality, satisfaction, and repurchase loyalty,” Journal of the Academy of Marketing Science, vol. 30, pp.240-249.
Olsen, S. O.( 2007),“Repurchase loyalty: the role of involvement and satisfaction,” Psychology & Marketing, vol. 24, no. 3, pp.315-341.
Szymanski, D. M., & D. H. Henard.( 2010), “Customer satisfaction: a meta-analysis of the empirical evidence” Journal Of Computers, Vol. 5, No. 10.
DeLone ,W
Fornell, C. Johnson, M. D., Anderson, E. W. (, 1996 ),“The American customer satisfaction index: nature, purpose, and findings,” Journal of Marketing Research, vol. 60, pp. 7-18.
Oliver, R. L. (1997), Satisfaction: A Behavioral Perspective on the Customer, New York: McGraw-Hill.
Ostrom , A.(1995), “Dawn iacobucci: consumer trade-offs and the evaluation of services,” Journal of Marketing Research, vol. 59, pp. 17-28.
Rust ,R. T., & Zahorik , A. J.(1993), “Customer satisfaction, customer retention, and market share,” Journal of Retailing, vol.69, no. 3, pp. 193-215.
Anderson,E. W., & Sullivan,M. W.(1993), “The antecedents and consequences of customer satisfaction for firms,” Marketing Science, vol. 12, no. 2, pp. 125-143.
Mittal ,V., William, J., Ross,T. & Baldasare ,P. M.(1998), “The asymmetric impact of negative and positive attribute-level performance on overall satisfaction and repurchase intentions,” Journal of Marketing Research, vol. 62, pp. 33-47.
Davis, F. D.(1993), “User acceptance of information technology: System characteristics, user perceptions and behavioral impacts” International Journal of Man-Machine Studies, vol. 38, no.3, pp. 475-487.
Davis, F. D.(1989), “Perceived usefulness, perceived ease of use, and use acceptance of information technology,” MIS Quarterly, vol. 13, no.3, pp. 319-340.
Fishbein, M. & Ajzen, I. (1975), Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addsion-Wesley, reading, MA.
Davis, F. D.(1986), A Technology Acceptance Model of Empirically Testing New End-User Information Systems: Theory and Results, Doctoral Dissertation, Sloan School of Management, Massachusetts Institute of Technology.
Davis, F. D., Bagozzi, R. P., & Warshaw P. R. (1989), “User acceptance of computer technology: Comparison of two theoretical models,” Management Science, vol. 35, no.8, pp. 982-1003.
Agarwal R. & Prasad, J. (1999), “Are individual differences germane to the acceptance of new information technologies?,” Decision Science, vol. 30, no.2, pp. 361-391.
Mallette, H. & Fisher, R. (1998), “The effects of non-volitional use on perceptions and intention of end user,” 28th Annual Atlantic Schools of Business Conference, Wolfville, Nova Scotia.
Johnson, M. D., Gustafsson , A., Andreassen,T. W. (2001),“The evolution and future of national customer satisfaction index models,” Journal of economic Psychology, vol. 22,pp. 217-245.
Oliver ,R. L.(1997), Satisfaction: A Behavioral Perspective on the Customer, New York: McGraw-Hill.
Gefen, D., Karahanna , E., and traub ,D. W. S. (2003), “Trust and TAM in online
shopping: An integrated model,” MIS Quarterly, vol
Moon, J. W. and Kim, Y. G.(2001), “Extending the TAM for a world-wide-web context,” Information & Management, vol. 38, no.4, pp. 217-230.
Featherman, M., and Pavlou, P.,(2003), “Predicting E-services adoption: A perceived risk facets perspective,”International Journal of Human-Computer Studies, vol. 59, no.4, pp. 451-471.
Hsu, C. L., and Lu ,H. P.(2004), “Why do people play on-line games? An extended TAM with social influences and flow experience,” Information & Management, vol. 41, no.7, pp. 853-868.
Yu, J., Ha, I., Choi ,M., and Rho , J.(2005),“Extending the TAM for a t-commerce,” Information & Management, vol. 42, no.7, pp. 965-976.
Suh, B., & Han, I. (2003), “The impact of customer trust and perception of security control on the acceptance of electronic commerce,” International Journal of Electronic Commerce, vol. 7, no.3, pp. 135-161.
Morgan, R. M., & Hunt, S. D. (1994). “The commitment-trust theory of relationship marketing,”. Journal of Marketing, 58(3), 20.
Pavlou, P
Moe, W. W., & Fader, P. S. (2004). “Capturing evolving visit behavior in clickstream data”. Journal of Interactive Marketing, 18(1), 5-19.
Brown, M., Pope, N., & Voges, K
Venkatesh ,V., & Davis ,F. D.(1996), “A model of the antecedents of perceived ease of use: development and test,” Decision Sciences, vol. 27, no. 3, pp. 451-481.
Ghani, J. A., Supnick , R., & Rooney , P. (1991), “The experience of flow in computer-mediated and in face-to-face groups,” in Proceedings of the twelfth international conference on Information systems, New York, New York, United States.
Hair, J.F., Anderson, R.E., Tatham, R.L. & Black, W.C. (1998). Multivariate Data Analysis.
Bagozzi ,R. P., and Yi ,Y. (1988 ),“On the evaluation for structural equation models,” Journal of the Academy of Marketing Science, vol. 16, no. 74-94.
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