Turning Visitors into Customers: A Usability-Centric Perspective on Purchase Behavior in Electronic Channels

Published Online:https://doi.org/10.1287/mnsc.1050.0442

References

  • Agarwal R., Karahanna E. Time flies when you’re having fun: Cognitive absorption and beliefs about information technology use. MIS Quart. (2000) 24(4):665–694CrossrefGoogle Scholar
  • Agarwal R., Prasad J. A conceptual and operational definition of personal innovativeness in the domain of information technology. Inform. Systems Res. (1998) 9(2):204–215LinkGoogle Scholar
  • Agarwal R., Venkatesh V. Assessing a firm’s Web presence: A heuristic evaluation procedure for the measurement of usability. Inform. Systems Res. (2002) 13(2):168–186LinkGoogle Scholar
  • Agarwal R., De A., Sinha P. Comprehending object and process models: An empirical study. IEEE Trans. Software Engrg. (1999) 25:541–556CrossrefGoogle Scholar
  • Alba J. W., Hutchinson J. W. Dimensions of consumer expertise. J. Consumer Res. (1987) 13:411–454CrossrefGoogle Scholar
  • Bakos Y. Reducing buyer search costs: Implications for electronic marketplaces. Management Sci. (1997) 43(12):1676–1692LinkGoogle Scholar
  • Bao Y., Shao A. T. Nonconformity advertising to teens. J. Advertising Res. (2002) 42(3):56–65CrossrefGoogle Scholar
  • Barfield W., Furness T. A.Virtual Environments and Advanced Interface Design (1997) (Oxford University Press, New York) Google Scholar
  • Barletta M.Marketing to Women: How to Understand, Reach, and Increase Your Share of the World’s Largest Market (2003) (Dearborn Trade Publications, Chicago, IL) Google Scholar
  • Belk R. W., Wallendorf M., Sherry J. F. The sacred and the profane in consumer research. J. Consumer Res. (1989) 16:1–38CrossrefGoogle Scholar
  • Bettman J. R. Information processing models of consumer behavior. J. Marketing Res. (1970) 7:370–376CrossrefGoogle Scholar
  • Brucks M. The effects of product class knowledge on information search behavior. J. Consumer Res. (1985) 12:1–16CrossrefGoogle Scholar
  • Burke R. R. Technology and the customer interface: What consumers want in the physical and virtual store. J. Acad. Marketing Sci. (2002) 30(4):411–432CrossrefGoogle Scholar
  • Burroughs R. E., Sabherwal R. Determinants of retail electronic purchasing: A multi-period investigation. Infor (2002) 40(1):35–56Google Scholar
  • Card S. K., Moran T. P., Newell A.The Psychology of Human-Computer Interaction (1983) (Erlbaum, Hillsdale, NJ) Google Scholar
  • Celci R. L., Olson J. C. The role of involvement in attention and comprehension processes. J. Consumer Res. (1988) 15:210–224CrossrefGoogle Scholar
  • Census Bureau Retail 4Q: 2002 Ecommerce report. (2003) . http://www.census.gov/mrts/www/current.htmlGoogle Scholar
  • Chen L.-D., Gillenson M. L., Sherrel D. L. Enticing online consumers: An extended technology acceptance perspective. Inform. Management (2002) 39(8):705–719CrossrefGoogle Scholar
  • Chiang K.-P., Dholakia R. T. Factors driving consumer intention to shop online: An empirical investigation. J. Consumer Psych. (2003) 13(1–2):177–183CrossrefGoogle Scholar
  • Chin W. W. Issues and opinion on structural equation modeling. MIS Quart. (1998) 22:vii–xviGoogle Scholar
  • Chin W. W., Marcolin B. L., Newsted P. R., DeGross J. I., Jarvenpaa S. L., Srinivasan A. A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and voice mail emotion/adoption study. Proc. Internat. Conf. Inform. Systems (1996) (AIS, Cleveland, OH) 21–41Google Scholar
  • Cowan C. Mall intercepts and clinical trials: The philosophy of inference from different types of research designs. Marketing Res. (1989) 1(1):15–22Google Scholar
  • Dawar N., Ratneshwar S., Sawyer A. G. The use of multiple methods to explore three-way person, brand and usage context interactions. Adv. Consumer Res. (1992) 19:116–122Google Scholar
  • DeLone W. H., McLean E. R. Information systems success: The quest for the dependent variable. Inform. Systems Res. (1992) 3(1):60–95LinkGoogle Scholar
  • Devaraj S., Kohli R. Performance impacts of information technology: Is actual usage the missing link? Management Sci. (2003) 49(3):273–289LinkGoogle Scholar
  • Diehl K., Kornish L. J., Lynch J. G. Smart agents: When lower search costs for quality information increases price sensitivity. J. Consumer Res. (2003) 30:56–71CrossrefGoogle Scholar
  • Digman J. M. Personality structure: Emergence of the five-factor model. Ann. Rev. Psych. (1990) 41:417–440CrossrefGoogle Scholar
  • Eighmey J., McCord L. Adding value in the information age: Uses and gratifications of sites on the World-Wide Web. J. Bus. Res. (1998) 41:187–194CrossrefGoogle Scholar
  • Fay W. B. Understanding generation X. Marketing Res. (1993) 5:54–55Google Scholar
  • Feller B. Students rule net population. Marketing News (2003) 37(24):5Google Scholar
  • Hahn J., Kaufman R. J., Shaw M. Information foraging in Internet-based selling: A systems design value assessment framework. E-Business Management: Integration of Web Technologies with Business Models (2002) (Kluwer Academic Publishers, New York) 195–230CrossrefGoogle Scholar
  • Haubl G., Trifts V. Consumer decision making in online shopping environments: The effects of interactive decision aids. Marketing Sci. (2000) 19(1):4–21LinkGoogle Scholar
  • Hawkins D. I., Best R. J., Coney K. A.Consumer Behavior: Implications for Marketing Strategy (1995) (Richard D. Irwin, Chicago, IL) Google Scholar
  • Hill R. P., Ward J. C. Mood manipulation in marketing research: An examination of potential confounding effects. J. Marketing Res. (1989) 26(1):97–104CrossrefGoogle Scholar
  • Hoch S. J., Deighton J. Managing what consumers learn from experience. J. Marketing (1989) 53(2, 3):1–20CrossrefGoogle Scholar
  • Huang M.-H., Yu S. Are consumers inherently or situationally brand loyal? A set intercorrelation account for conscious brand loyalty and nonconscious inertia. Psych. Marketing (1999) 16(6):523–544CrossrefGoogle Scholar
  • Jarboe G. R., McDaniel C. D. A profile of browsers in regional shopping malls. Acad. Marketing Sci. J. (1987) 15(1):46–63CrossrefGoogle Scholar
  • Jarvenpaa S. L., Todd P. A. Consumer reactions to electronic shopping on the World Wide Web. Internat. J. Electronic Commerce (1996/1997) 1(2):59–88CrossrefGoogle Scholar
  • Jeffries R. J., Miller J. R., Wharton C., Uyeda K. M. User interface evaluation in the real world: A comparison of four techniques. Proc. CHI Human Factors Comput. Systems (1991) (ACM, New Orleans, Los Angeles, New York) 119–124CrossrefGoogle Scholar
  • Karat J. Evolving the scope of user-centered design. Comm. ACM (1997) 40:33–38CrossrefGoogle Scholar
  • Lais S. How to stop Web shopper flight. Computerworld (2002) June 17):44–45Google Scholar
  • Lecerof A., Paterno F. Automatic support for usability evaluation. IEEE Trans. Software Engrg. (1998) 24:863–887CrossrefGoogle Scholar
  • Lohse G., Spiller P. Internet retail store design: How the user interface influences traffic and sales. J. Comput.-Mediated Comm. (1999) 5Google Scholar
  • Lynch J. G., Ariely D. Wine online: Search cost affect competition on price, quality, and distribution. Marketing Sci. (2000) 19(1):83–103LinkGoogle Scholar
  • Milewski A. E., Smith T. M. Providing presence cues to telephone users. Proc. Computer Supported Cooperative Work (2000) New York(ACM Press)89–96CrossrefGoogle Scholar
  • Milgrom P. R., Roberts J. Price and advertising signals of product quality. J. Political Econom. (1986) 94:796–821CrossrefGoogle Scholar
  • Moe W. W. Buying, searching, or browsing: Differentiating between online shoppers using in-store navigational clickstream data. J. Consumer Psych. (2003) 13(1–2):29–39CrossrefGoogle Scholar
  • Moe W. W., Fader P. S. Dynamic conversion behavior at e-commerce sites. Management Sci. (2004) 50(3):326–335LinkGoogle Scholar
  • Morton F. S., Zettlemeyer F., Silva-Risso J. Internet car retailing. J. Indust. Econom. (2001) 49(4):501–519CrossrefGoogle Scholar
  • Moschis G. P. Marketing to older adults: An overview and assessment of current knowledge and practice. J. Consumer Marketing (1991) 8(3):33–41CrossrefGoogle Scholar
  • Nielsen J.Designing Web Usability (2000) (New Riders, Indianapolis, IN) Google Scholar
  • Olson G. M., Olson J. S. Human computer interaction: Psychological aspects of the human use of computing. Ann. Rev. Psych. (2003) 54:491–516CrossrefGoogle Scholar
  • Ouellette J. A., Wood W. Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior. Psych. Bull. (1998) 124(1):54–74CrossrefGoogle Scholar
  • Palmer J. W. Web site usability, design, and performance metrics. Inform. Systems Res. (2002) 13(2):151–167LinkGoogle Scholar
  • Pashigian B. P., Peltzman S., Sun J.-M. Firm responses to income inequality and the cost of time. Rev. Indust. Organ. (2003) 22(4):253–273CrossrefGoogle Scholar
  • Peterson R. A., Balasubramaniam S., Bronnenberg B. J. Exploring the implications of the Internet for consumer marketing. J. Acad. Marketing Sci. (1997) 25:329–346CrossrefGoogle Scholar
  • Prakash V. Sex roles and advertising preferences. J. Advertising Res. (1992) 32(3):43–52Google Scholar
  • Reibstein D. J. What attracts customers to online stores, and what keeps them coming back? Acad. Marketing Sci. J. (2002) 30(4):465–473CrossrefGoogle Scholar
  • Rosen S. Sticky website is key to success. Comm. World (2001) 36:36Google Scholar
  • Rozanski H. D., Bollman G., Lipman M. Seize the occasion: Usage based segmentation for Internet marketers. E Insights (2001) (Booz Allen and Hamilton, McLean, VA) Google Scholar
  • Seddon P. B. A respecification and extension of the DeLone and McLean model of IS success. Inform. Systems Res. (1997) 8(3):240–254LinkGoogle Scholar
  • Shneiderman B.Software Psychology: Human Factors in Computer and Information Systems (1980) (Winthrop, Cambridge, MA) Google Scholar
  • Simmons Market Research BureauStudy of Media and Markets (1991) (Simmons Market Research Bureau, New York) Google Scholar
  • Smith S. M., Whitlark D. B. Men and women online: What makes them click? Marketing Res. (2001) 13(2):20–25Google Scholar
  • Sujan M. Consumer knowledge: Effects on evaluation strategies mediating consumer judgments. J. Consumer Res. (1985) 12:31–46CrossrefGoogle Scholar
  • Taylor S., Todd P. A. Understanding information technology usage: A test of competing models. Inform. Systems Res. (1995) 6:144–176LinkGoogle Scholar
  • Triplett T. Automaker’s recognizing value of women’s markets. Marketing News (1994) 28(8):1–2Google Scholar
  • Vakratsas D. Household cost effects on purchase timing decisions: Do demographics matter? J. Consumer Marketing (1998) 15(1):6–22CrossrefGoogle Scholar
  • Van Slyke C., Comunale C. L., Belanger F. Gender differences in perceptions of Web-based shopping. Comm. ACM (2002) 45(8):82–86CrossrefGoogle Scholar
  • Venkatesh V. Determinants of perceived ease of use: Integrating perceived behavioral control, computer anxiety and enjoyment into the technology acceptance model. Inform. Systems Res. (2000) 11:342–365LinkGoogle Scholar
  • Venkatesh V., Davis F. D. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Sci. (2000) 46:186–204LinkGoogle Scholar
  • Venkatesh V., Morris M. G. Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quart. (2000) 24(1):115–139CrossrefGoogle Scholar
  • Venkatesh V., Morris M. G., Ackerman P. L. A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. Organ. Behavior Human Decision Processes (2000) 83(1):33–60CrossrefGoogle Scholar
  • Venkatesh V., Morris M. G., Davis G. B., Davis F. D. User acceptance of information technology: Toward a unified view. MIS Quart. (2003) 27(3):425–478CrossrefGoogle Scholar
  • Wolfinbarger M., Gilly M. C. Shopping online for freedom, control, and fun. California Management Rev. (2001) 32(2):34–55CrossrefGoogle Scholar
  • Zinn L. This Bud’s for you. Business Week (1991) November 4):90Google Scholar
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