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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

The Influence of Online-Store Cue on Consumers Perceived Quality and Online Purchase Intention

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2013, v.11 no.4, pp.13-21
https://doi.org/https://doi.org/10.15722/jds.11.4.201304.13
Liu, Fei
Sun, Yang
Na, Seung-Hwa

Abstract

Purpose - The purpose of this research is to find out the relationship between cue utilization and perceived website quality and purchase intention for an online store. To achieve this, we suggest a conceptual model that examines the relationship among product introductions, online communications, online reviews, perceived quality, and online purchase intention. Research design, data, and methodology - This research utilizes SPSS 19.0 and AMOS17.0 to analyze the data. We used factor analysis to shape the structure of the original data and saved the information with multiple dimensions. We then deployed the AMOS software to analyze the model. We performed both factor analysis and structural equation analysis. Results - The findings of this study show that graphic and word descriptions, online chatting, and online reviews have a positive influence on perceived quality. Furthermore, perceived quality has a positive influence on purchase intention. Conclusions - First, detailed product information should be added to influence quality perception. Second, consumers expect a certain level of service while shopping. Simultaneously, online products reviews from consumers deserve attention as they can impact consumer purchase intention.

keywords
Online Purchase, Cue Utilization Theory, Perceived Quality, Purchasing Intention

Reference

1.

Ailawadi., K.L., Neslin, S.A. & Gedenk, K. (2001), “Pursuing the Value-Conscious Consumer: Store Brands Versus National Brand Promotions”, The Journal of Marketing, 65(1), 71-89.

2.

Akerlof, G.A. (1970), “The Market for “Lemons”: Quality Uncertainty and the Market Mechanism”, The Quarterly Journal of Economics, 84(3), 488-500

3.

Amit, P. Naveed, D. & Wei, Yujie. (2009), “Web Site Customer Orientations, Web Site Quality, and Purchase Intentions: The Role of Web Site Personality”, Journal of Business Research, 62, 441-450.

4.

Anderson, J.G. & Gerbing, D.W. (1988), “Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach”, Psychological Bulletin, 103, 411–23.

5.

Bagozzi, R.P. & Yi,Y. (1988), “On the Evaluation of Structual Equation Models”, Journal of the Academy of Marketing Science, 16 (1), 74-94.

6.

Bai, B. & Law, R. (2008), “The Impact of Website Quality on Customer Satisfaction and Purchase Intentions: Evidence from Chinese Online Visitors”, International Journal of Hospitality Management, 27(3), 391-402.

7.

Baker, J. Grewal, D. & Parasuraman, A. (1994), “The Influence of Store Environment on Quality Inferences and Store Image”. Journal of The Academy of Marketing Science, 22, 328-339.

8.

Bollen, KA. (1989), Structural Equation Modeling with Latent Variables, NewYork: JohnWiley.

9.

Brucks, M. Zeithaml, VA. & Naylor, G. (2000), “Price and Brand, Indicators of Quality Dimensions for Consumer Durables”, Academy of Marketing Science, 28(3), 217—222.

10.

Chatterjee, P. (2001), “Online Review: Do Consumers Use Them?”, Association for Consumer Research, 21, 129-134.

11.

Chen, YH. Barnes, S. (2007), “Initial Trust and Online Buyer Behavior”, Industrial Management & Data Systerms, 107(1), 21-36.

12.

China Internet Network Information Center (2010), “26th China Internet Development Statistics Situation Report(CNNIC)”, Retrieved from http://Search.cnnic.cn

13.

Coulter, KS. & Coulter, R.A. (2002), “Determinants of Trust in a Service Provider: the Moderating Role of Length of Relationship”, The Journal of Services Marketing, 16(1), 35-50.

14.

Dailey, L. (2004), “Navigational Web Atmospherics: Explaining the Influence of Restrictive Navigation Cues”. Journal of Business Research, 57, 795-803.

15.

Dawar, N. & Parker, P. (1994), “Marketing Universals: Consumers’ Use of Brand Name, Price, Physical Appearance, and Retailer Reputation as Signals of Product Quality”, Journal of Marketing, 58(2), 81-95.

16.

Erickson, G.M. & Johansson, J.K. (1985), “The Role of Price in Multi-Attribute Product Evaluations”, Journal of Consumer Research, 12(2), 195-199.

17.

Eroglu, S.A. Machleit, K. & Davis, L.M. (2001), “Atmospheric Qualities of Online Retailing A conceptual Model and Implications”, Journal of Business Research, 54, 177-184.

18.

Fishbein,. M. (1975), “Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research” Behavior Human factors Research,521-562. Retrieved Aug 22, 2012, from the get CITED database.

19.

Grönroos, C. (1981), “Service Management and Marketing the Moments of Truth in Service Competition”, Retailing and Consumer Services, 5, 171-173.

20.

Hair, J.F., Anderson, R. E., Tatham, R.L. & Black, W.C. (1998), Multivariate Data Analysis, 5th ed., Upper Saddle River, NJ: Prentice-Hall.

21.

Hausman, A. V. & Siekpe, J. S. (2009), “The Effect of Web Interface Features on Consumer Online Purchase Intentions”, Journal of Business Research, 62, 5-13.

22.

Ethier, J. (2008), “Interface Design and Emotions Experienced on B2C Web Sites: Empirical Testing of a Research Model”, Computers in Human Behavior, 24(6), 2771-2791.

23.

Ko, Eunju. Kim, Kyung-Hoon. & Zhang, Hao (2008), “A Cross Cultural Study of Antecedents of Purchase Intention for Sports Shoes in Korea and China”, Journal of Global Academy of Marketing Science, 18(1), 157-177.

24.

Kotler, P., Keller, K.L. & Lu, T. (2009), Marketing Management in china..Pearson. 13th, Beijing, China: Pearson Education, 538.

25.

Marquardt, R.A. & McGann, A.F. (1975), “Does Advertising Communicate Product Quality to Consumers: Some Evidence from Consumer Reports”, Journal of Advertising, 4, 27-31.

26.

Mehrabian, A. & Russell, J.A. (1974), An Approach to Environmental Psychology, Cambridge, MA:M.I.T. press, 222-253.

27.

Monroe, K.B. Grewal, D. (1991), “Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations”. Journal of Marketing Research, 28(3), 307-319.

28.

Olison, J.C. & Jacoby, J. (1973), “Influence of Technology on Perceived Quality”, Advances in Consumer Research, 6, 171-173.

29.

Pavlou, P.A. (2003), “Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model”, International Journal of Electronic Commerce, 7, 101-134.

30.

Rao, A.R. & Monroe, K.B. (1989), “The Effect of Price, Brand Name, and Store Name on Buyers’ Perceptions of Product Quality: An Integrative Review”, Journal of Marketing Research, 26(8), 351-357.

31.

Rao, A.R. (2005), “The Quality of Price as a Quality Cue”, Journal of Marketing Research, 42(11), 401-405.

32.

Richard, M. (2005), “Modeling the Impact of Internet Atmospherics on Surfer Behavior”, Journal of Business Research, 58, 1632-1642.

33.

Rook, D.W. & Fisher, R.J. (1995), “Normative Influences on Impulsive Buying Behavior”. Journal of Consumer Research, 22(3), 305-313.

34.

Shiv, B., Carmon, Z. & Ariely, D. (2005), “Effects of Marketing Actions: Consumers May Get What They Pay For”, Journal of Marketing Research, 42(11), 383-393.

35.

Turley, L.W. & Milliman, R.E. (2000), “Atmospheric Effects on Shopping Behavior: A Review of the Experimental Evidence”, Journal of Business Research, 49, 193-211.

36.

Wheatley, J.J. Chiu, J.S.T. & Goldman, A. (1981), “Physical Quality, Price, and Perceptions of Product Quality: Implications for Retailers”, Journal of Retailing, 57, (2), 100—116.

37.

Zeithaml, V.A. (1988), “Consumer Perceptions of Price Quality, and Value: A Means-End Model and Synthesis of Evidence”, Journal of Marketing, 52(3), 2-22.

The Journal of Distribution Science