Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Electronic Commerce Research
Erschienen in: Electronic Commerce Research 1/2013

01.03.2013

A comprehensive model of the effects of online store image on purchase intention in an e-commerce environment

verfasst von: Ming-Yi Chen, Ching-I Teng

Erschienen in: Electronic Commerce Research | Ausgabe 1/2013

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The aim of this study is to identify structural relationships between aspects of online store image and purchase intention. Responses from 211 website visitors were analyzed using structural equation modeling (SEM) to examine the research hypotheses. The results demonstrated that enjoyment and familiarity are predictors of ease-of-use and settlement performance, respectively. Settlement performance and usefulness are positively related to purchase intention. The results provide some suggestions for online store owners to help them arrange budget priorities for website design. Moreover, it is important to manage image familiarity for an online store through image-enhancing techniques, such as advertising and publicity.
Nächster Artikel An empirical examination of user adoption of location-based services

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: cognitive absorption and beliefs about information technology usage. Management Information Systems Quarterly, 24(4), 665–694. CrossRef
2.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling on modeling in practice: a review and recommended two-step-approach. Psychological Bulletin, 103(3), 411–423. CrossRef
3.
Anderson, J. C., & Gerbing, D. W. (1992). Assumptions and comparative strengths of the two-step approach. Sociological Methods & Research, 20(3), 321–333. CrossRef
4.
Anderson, J. C., & Narus, J. A. (1990). A model of distributor firm and manufacturer firm working partnerships. Journal of Marketing, 54(1), 42–58. CrossRef
5.
Armstrong, J. S., & Overton, T. S. (1977). Estimating non-response bias in mail surveys. Journal of Marketing Research, 14(3), 396–402. CrossRef
6.
Atkinson, M. A., & Kydd, C. (1997). Individual characteristics associated with World Wide Web use: an empirical study of playfulness and motivation. The Data Base for Advances in Information Systems, 28(2), 53–62. CrossRef
7.
Bagozzi, R. P. (2010). Structural equation models are modeling tools with many ambiguities: comments acknowledging the need for caution and humility in their use. Journal of Consumer Psychology, 20(2), 208–214. CrossRef
8.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. CrossRef
9.
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(4), 328–339. CrossRef
10.
Blau, P. M. (1964). Exchange and power in social life. New York: Wiley.
11.
Bloemer, J., & de Ruyter, K. (1998). On the relationship between store image, store satisfaction, and store loyalty. European Journal of Marketing, 32(5/6), 499–513. CrossRef
12.
Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.
13.
Brislin, R. W. (1987). The wording of translation of research instruments. In W. J. Lonner & J. W. Berry (Eds.), Field methods in cross-cultural research (pp. 137–164). Beverly Hills: Sage.
14.
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park: Sage.
15.
Bruner, G. C. II, & Kumar, A. (2005). Explaining consumer acceptance of handheld Internet devices. Journal of Business Research, 58(5), 553–558. CrossRef
16.
Chen, W. J., & Lee, C. (2005). The impact of web site image and consumer personality on consumer behavior. International Journal of Management, 22(3), 484–508.
17.
Chen, L. D., & Tan, J. (2004). Technology adaptation in e-commerce: key determinants of virtual stores acceptance. European Management Journal, 22(1), 74–86. CrossRef
18.
Chen, L. D., Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: an extended technology acceptance perspective. Information & Management, 39(8), 705–719. CrossRef
19.
Chen, Q., Chen, H. M., & Kazman, R. (2007). Investigating antecedents of technology acceptance of initial eCRM users beyond generation X and the role of self-construal. Electronic Commerce Research, 7, 315–339. CrossRef
20.
Chow, S., & Holden, R. (1997). Toward an understanding of loyalty: the moderating role of trust. Journal of Managerial Issues, 9(3), 275–298.
21.
Churchill, G. A. Jr. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64–73. CrossRef
22.
Culnan, M. J., & Armstrong, P. K. (1999). Information privacy concerns, procedural fairness and impersonal trust: an empirical investigation. Organization Science, 10(1), 105–116. CrossRef
23.
Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319–339. CrossRef
24.
Davis, F., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982–1002. CrossRef
25.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22, 1111–1132. CrossRef
26.
27.
Dertouzos, M. L., Lester, R. K., & Solow, R. M. (1989). Made in America: regaining the productive edge. Cambridge: The MIT Press.
28.
Doney, P. M., & Cannon, J. P. (1997). An examination of the nature of trust in buyer-seller relationships. Journal of Marketing, 61(2), 35–51. CrossRef
29.
Elliott, M. T., & Speck, P. S. (2005). Factors that affect attitude toward a retail web site. Journal of Marketing Theory and Practice, 13(1), 40–51.
30.
Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1990). Consumer behavior (6th ed.). Chicago: Dryden Press.
31.
Fiore, A. M., Jin, H. J., & Kim, J. (2005). For fun and profit: hedonic value from image interactivity and responses toward an online store. Psychology & Marketing, 22(8), 669–694. CrossRef
32.
Fornell, C., & Larcker, D. F. (1981). Evaluation structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. CrossRef
33.
Fukuyama, F. (1995). Trust: the social virtues and the creation of prosperity. New York: The Free Press.
34.
Ganesan, S. (1994). Determinants of long-term orientation in buyer-seller relationships. Journal of Marketing, 58(2), 1–19. CrossRef
35.
Gattiker, U. E. (1992). Computer skills acquisition: a review and future directions for research. Journal of Management, 18(3), 547–574. CrossRef
36.
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: an integrated model. Management Information Systems Quarterly, 27(1), 51–90.
37.
Gerbing, D. W., & Anderson, J. C. (1988). An updated paradigm for scale development incorporating unidimensionality and its assessment. Journal of Marketing Research, 25(2), 186–192. CrossRef
38.
Gregg, D. G., & Walczak, S. (2010). The relationship between website quality, trust and price premiums at online auctions. Electronic Commerce Research, 10, 1–25. CrossRef
39.
Hair, J. F. Jr., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). New Jersey: Prentice-Hall International.
40.
Hildebrandt, L. (1988). Store image and the prediction of performance in retailing. Journal of Business Research, 17(1), 91–100. CrossRef
41.
Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (1999). Consumer trust in an Internet store. Information Technology and Management, 1(1/2), 45–71. CrossRef
42.
Kardes, F. R., Posavac, S. S., & Cronley, M. L. (2004). Consumer inference: a review of processes, bases, and judgment contexts. Journal of Consumer Psychology, 14(3), 230–256. CrossRef
43.
Kelley, H. H. (1979). Personal relationships: their structure and processes. Mahwah: Lawrence Erlbaum Associates.
44.
Kim, J. B. (2012). An empirical study on consumer first purchase intention in online shopping: integrating initial trust and TAM. Electronic Commerce Research, 12, 125–150. CrossRef
45.
Kim, J. U., Kim, W. J., & Park, S. C. (2010). Consumer perceptions on web advertisements and motivation factors to purchase in the online shopping. Computers in Human Behavior, 26(5), 1208–1222. CrossRef
46.
Korgaonkar, P. K., & Wolin, L. D. (1999). A multivariate analysis of web usage. Journal of Advertising Research, 39(2), 53–68.
47.
Lee, H. G. (1998). Do electronic marketplaces lower the price of goods? Communications of the ACM, 41(1), 73–80. CrossRef
48.
Lee, P. M. (2002). Behavioral model of online purchasers in e-commerce environment. Electronic Commerce Research, 2, 75–85. CrossRef
49.
Lindskold, S. (1978). Trust development, the GRIT proposal and the effects of conciliatory acts on conflict and cooperation. Psychological Bulletin, 85(4), 772–793. CrossRef
50.
Liu, A. H., & Leach, M. P. (2001). Developing loyal customers with a value-adding sales force: examining customer satisfaction and the perceived credibility of consultative salespeople. Journal of Personal Selling & Sales Management, 21(2), 147–156.
51.
Loiacono, E. T., Watson, R. T., & Goodhue, D. L. (2007). WebQual: an instrument for consumer evaluation of web sites. International Journal of Electronic Commerce, 11(3), 51–87. CrossRef
52.
Lu, H. P., & Su, Y. J. (2009). Factors affecting purchase intention on mobile shopping web sites. Internet Research, 19(4), 442–458. CrossRef
53.
McCloskey, D. (2003). Evaluating electronic commerce acceptance with the technology acceptance model. The Journal of Computer Information Systems, 44(2), 49–57.
54.
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). The impact of initial consumer trust on intentions to transact with a web site: a trust building model. Journal of Strategic Information Systems, 11(3/4), 297–323. CrossRef
55.
56.
57.
Nathan, R. J., & Yeow, P. H. P. (2011). Crucial web usability factors of 36 industries for students: a large-scale empirical study. Electronic Commerce Research, 11, 151–180. CrossRef
58.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.
59.
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134.
60.
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. CrossRef
61.
Ramsey, R. P., & Sohi, R. S. (1997). Listening to your customers: the impact of perceived salesperson listening behavior on relationship outcomes. Journal of the Academy of Marketing Science, 25(2), 127–137. CrossRef
62.
Ranganathan, C., & Ganapathy, S. (2002). Key dimensions of business-to-consumer web sites. Information & Management, 39(6), 457–465. CrossRef
63.
Rao, A. R., & Monroe, M. (1996). Causes and consequences of price premiums. Journal of Business, 69(4), 511–535. CrossRef
64.
Reichheld, F. F., & Schefter, P. (2000). E-loyalty: your secret weapon on the web. Harvard Business Review, 78(4), 105–113.
65.
Rindova, V. P., Williamson, I. O., Petkova, A. P., & Sever, J. M. (2005). Being good or being known: an empirical examination of the dimensions, antecedents, and consequences of organizational reputation. Academy of Management Journal, 48(6), 1033–1049. CrossRef
66.
Schmidt, W. C. (1997). World-Wide Web survey research: benefits, potential problems, and solutions. Behavior Research Methods, Instruments, & Computers, 29(2), 274–279. CrossRef
67.
Selnes, F. (1998). Antecedents and consequences of trust and satisfaction in buyer–seller relationships. European Journal of Marketing, 32(3/4), 305–322. CrossRef
68.
Shapiro, C. (1982). Consumer information, product quality and seller reputation. Bell Journal of Economics, 13(1), 20–35. CrossRef
69.
Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The theory of reasoned action: a meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15(3), 325–343. CrossRef
70.
Shih, H. P. (2004). An empirical study on predicting user acceptance of e-shopping on the web. Information & Management, 41(3), 351–368. CrossRef
71.
Smith, J. B., & Barclay, D. W. (1997). The effects of organizational differences and trust on the effectiveness of selling partner relationships. Journal of Marketing, 61(1), 3–21. CrossRef
72.
Smith, B. A., & Merchant, E. J. (2001). Designing an attractive web site: variables of importance. In Proceedings of the 32nd annual conference of the Decision Sciences Institute, San Francisco, CA.
73.
Spence, M. (1973). Job market signaling. Quarterly Journal of Economics, 87(3), 355–374. CrossRef
74.
Standifird, S. S. (2001). Reputation and e-commerce: eBay auctions and the asymmetrical impact of positive and negative ratings. Journal of Management, 27(3), 279–296.
75.
Sun, H., & Zhang, P. (2006). Causal relationships between perceived enjoyment and perceived ease of use: an alternative approach. Journal of the Association for Information Systems, 7(9), 618–645.
76.
Szymanski, D. M., & Hise, R. T. (2000). E-satisfaction: an initial examination. Journal of Retailing, 76(3), 309–322. CrossRef
77.
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: a test of competing models. Information Systems Research, 6(2), 144–176. CrossRef
78.
Thibaut, J. W., & Kelley, H. H. (1959). The social psychology of groups. New York: Wiley.
79.
Tractinsky, N., Katz, A. S., & Ikar, D. (2000). What is beautiful is usable. Interacting With Computers, 13, 127–145. CrossRef
80.
81.
Van der Heijden, H. (2004). User acceptance of hedonic information systems. Management Information Systems Quarterly, 28(4), 695–704.
82.
Van der Heijden, H., & Verhagen, T. (2004). Online store image: conceptual foundations and empirical measurement. Information & Management, 41(5), 609–617. CrossRef
83.
Venkatesh, V. (1999). Creation of favorable user perceptions: exploring the role of intrinsic motivation. Management Information Systems Quarterly, 23(2), 239–260. CrossRef
84.
Venkatesh, V. (2000). Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365. CrossRef
85.
Venkatesh, V., Speier, C., & Morris, M. G. (2002). User acceptance enablers in individual decision making about technology: toward an integrated model. Decision Sciences, 33(2), 297–316. CrossRef
86.
Verhagen, T., & van Dolen, W. (2009). Online purchase intentions: a multi-channel store image perspective. Information & Management, 46(2), 77–82. CrossRef
87.
Verhagen, T., & van Dolen, W. (2011). The influence of online store beliefs on consumer online impulse buying: a model and empirical application. Information & Management, 48, 320–327. CrossRef
88.
Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping the case for an augmented technology acceptance model. Information & Management, 41(6), 747–762. CrossRef
89.
90.
Walter, A., Mueller, T. A., & Helfert, G. (2000). The impact of satisfaction, trust, and relationship value on commitment: theoretical considerations and empirical results. In Proceedings of the 16th annual conference of the industrial marketing and purchasing group, University of Bath, Bath, UK.
91.
Wang, W., & Benbasat, I. (2005). Trust in and adoption of online recommendation agents. Journal of the Association for Information Systems, 6(3), 72–101.
92.
Wheaton, B. (1987). Assessment of fit in over-identified models with latent variables. Sociological Methods & Research, 16, 118–154. CrossRef
93.
William, H. S., & Marios, K. (2005). The effect of web site perceptions on initial trust in the owner company. International Journal of Electronic Commerce, 10(1), 55–81.
94.
Williamson, O. E. (1985). The economic institutions of capitalism: firms, markets, and relational contracting. New York: The Free Press.
95.
Yang, Z., & Jun, M. (2008). Consumer perception of e-service quality: from Internet purchaser and non-purchaser perspective. Journal of Business Strategies, 25(2), 59–84.
96.
Yi, M. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59(4), 431–449. CrossRef
97.
Yoh, E., Damhorst, M. L., Sapp, S., & Laczniak, R. (2003). Consumer adoption of the Internet: the case of apparel shopping. Psychology & Marketing, 20(12), 1095–1118. CrossRef
98.
Zand, D. E. (1972). Trust and managerial problem solving. Administrative Science Quarterly, 17(2), 229–239. CrossRef
99.
Zhou, T., Lu, Y., & Wang, B. (2009). The relative importance of website design quality and service quality in determining consumers’ online repurchase behavior. Information Systems Management, 26(4), 327–337. CrossRef
Metadaten
Titel
A comprehensive model of the effects of online store image on purchase intention in an e-commerce environment
verfasst von
Ming-Yi Chen
Ching-I Teng
Publikationsdatum
01.03.2013
Verlag
Springer US
Erschienen in
Electronic Commerce Research / Ausgabe 1/2013
Print ISSN: 1389-5753
Elektronische ISSN: 1572-9362
DOI
https://doi.org/10.1007/s10660-013-9104-5

Weitere Artikel der Ausgabe 1/2013

Electronic Commerce Research 1/2013 Zur Ausgabe

OriginalPaper

Electronic word-of-mouth and online reviews in tourism services: the use of twitter by tourists

OriginalPaper

Cybercrime and cyber-security issues associated with China: some economic and institutional considerations

OriginalPaper

An empirical examination of user adoption of location-based services

OriginalPaper

Banks and information technology: marketability vs. relationships