Tunnel Vision: Local Behavioral Influences on Consumer Decisions in Product Search

References

• Adam K. Learning while searching for the best alternative. J. Econom. Theory (2001) 101(1):252–281Crossref, Google Scholar
• Adamowicz W., Bunch D., Cameron T. A., Dellaert B. G. C., Hanneman M., Keane M., Louviere J., Meyer R., Steenburgh T., Swait J. Behavioral frontiers in choice modeling. Marketing Lett. (2008) 19(3–4):215–228Crossref, Google Scholar
• Albright S. C. A Bayesian approach to a generalized house selling problem. Management Sci. (1977) 24(4):432–440Link, Google Scholar
• Arend L. E., Spehar B. Lightness, brightness, and brightness contrast: 1. Illuminance variation. Perception Psychophysics (1993) 54(4):446–456Crossref, Google Scholar
• Bearden J. N., Murphy R. O., Rapoport A. A multi-attribute extension of the secretary problem: Theory and experiments. J. Math. Psych. (2005) 49(5):410–422Crossref, Google Scholar
• Ben-Akiva M., McFadden D., Gärling T., Gopinath D., Walker J., Bolduc D., Börsch-Supan A., et al. Extended framework for modeling choice behavior. Marketing Lett. (1999) 10(3):187–203Crossref, Google Scholar
• Bettman J. R., Luce M. F., Payne J. W. Constructive consumer choice processes. J. Consumer Res. (1998) 25(3):187–217Crossref, Google Scholar
• Bikhchandani S., Sharma S. Optimal search with learning. J. Econom. Dynam. Control (1996) 20(1–3):333–359Crossref, Google Scholar
• Brannon J. I., Gorman M. F. The effects of information costs on search and convergence in experimental markets. J. Econom. Behav. Organ. (2002) 47(4):375–390Crossref, Google Scholar
• Buehler R., Griffin D., Ross M. Exploring the “planning fallacy”: Why people underestimate their task completion times. J. Personality Soc. Psych. (1994) 67(3):366–381Crossref, Google Scholar
• Cox J. C., Oaxaca R. L. Laboratory experiments with a finite-horizon job-search model. J. Risk Uncertainty (1989) 2(3):301–329Crossref, Google Scholar
• Elrod T., Louviere J. J., Davey K. S. An empirical comparison of ratings-based and choice-based conjoint models. J. Marketing Res. (1992) 29(August):368–377Crossref, Google Scholar
• Erdem T., Keane M. P., Öncü T. S., Strebel J. Learning about computers: An analysis of information search and technology choice. Quant. Marketing Econom. (2005) 3(3):207–247Crossref, Google Scholar
• Ferguson T. S. A Bayesian analysis of some nonparametric problems. Ann. Statist. (1973) 1(2):209–230Crossref, Google Scholar
• Ferguson T. S. Prior distributions on spaces of probability measures. Ann. Statist. (1974) 2(4):615–629Crossref, Google Scholar
• Gilbert D. T., Wilson T. D. Prospection: Experiencing the future. Science (2007) 317(5843):1351–1354Crossref, Google Scholar
• Harrison G. W., Morgan P. Search intensity in experiments. Econom. J. (1990) 100(401):478–486Google Scholar
• Häubl G., Trifts V. Consumer decision making in online shopping environments: The effects of interactive decision aids. Marketing Sci. (2000) 19(1):4–21Link, Google Scholar
• Hauser J. R., Urban G. L., Weinberg B. D. How consumers allocate their time when searching for information. J. Marketing Res. (1993) 30(4):452–466Crossref, Google Scholar
• Hey J. D. Search for rules for search. J. Econom. Behav. Organ. (1982) 3(1):65–81Crossref, Google Scholar
• Hey J. D. Still searching. J. Econom. Behav. Organ. (1987) 8(1):137–144Crossref, Google Scholar
• Heyman J., Mellers B. A., Tishcenko S., Schwartz A. I was pleased a moment ago: How pleasure varies with background and foreground reference points. Motivation Emotion (2004) 28(1):65–83Crossref, Google Scholar
• Hogarth R. M., Einhorn H. J. Order effects in belief updating: The belief-adjustment model. Cognitive Psych. (1992) 24(1):1–55Crossref, Google Scholar
• Houser D., Winter J. How do behavioral assumptions affect structural inference? Evidence from a laboratory experiment. J. Business Econom. Statist. (2004) 22(1):64–79Crossref, Google Scholar
• Johar G., Jedidi K., Jacoby J. A varying-parameter averaging model of online brand evaluations. J. Consumer Res. (1997) 24(2):232–247Crossref, Google Scholar
• Kahneman D., Miller D. T. Norm theory: Comparing reality to its alternatives. Psych. Rev. (1986) 93(2):136–153Crossref, Google Scholar
• Kogut C. A. Consumer search behavior and sunk costs. J. Econom. Behav. Organ. (1990) 14(3):381–392Crossref, Google Scholar
• Kruger J., Evans M. If you don't want to be late, enumerate: Unpacking reduces the planning fallacy. J. Experiment. Soc. Psych. (2004) 40(5):586–598Crossref, Google Scholar
• McFadden D. The choice theory approach to market research. Marketing Sci. (1986) 5(4):275–297Link, Google Scholar
• Mellers B. A. Choice and the relative pleasure of consequences. Psych. Bull. (2000) 126(6):910–924Crossref, Google Scholar
• Meyer R. J. A descriptive model of consumer information search behavior. Marketing Sci. (1982) 1(1):93–121Link, Google Scholar
• Moon P., Martin A. Better heuristics for economic search: Experimental and simulation evidence. J. Behav. Decision Making (1990) 3(3):175–193Crossref, Google Scholar
• Moon P., Martin A. The search for consistency in economic search. J. Econom. Behav. Organ. (1996) 29(2):311–321Crossref, Google Scholar
• Morris C. N. Parametric empirical Bayes inference: Theory and applications. J. Amer. Statist. Assoc. (1983) 78(381):47–55Crossref, Google Scholar
• Pessoa L., Mingolla E., Neumann H. A contrast- and luminance-driven multiscale network model of brightness perception. Vision Res. (1995) 35(15):2201–2223Crossref, Google Scholar
• Phipps A. G., Meyer R. J. Normative versus heuristic models of residential search behavior: An empirical comparison. Environment Planning A (1985) 17(6):761–776Crossref, Google Scholar
• Putrevu S., Ratchford B. T. A model of search behavior with an application to grocery shopping. J. Retailing (1997) 73(4):463–487Crossref, Google Scholar
• Ratchford B. T., Srinivasan N. An empirical investigation of returns to search. Marketing Sci. (1993) 12(1):73–87Link, Google Scholar
• Reid R. C., Shapley R. Brightness induction by local contrast and the spatial dependence of assimilation. Vision Res. (1988) 28(1):115–132Crossref, Google Scholar
• Rosenfield D. B., Shapiro R. D., Butler D. A. Optimal strategies for selling an asset. Management Sci. (1983) 29(9):1051–1061Link, Google Scholar
• Rothschild M. Searching for the lowest price when the distribution of prices is unknown. J. Political Econom. (1974) 82(4):689–711Crossref, Google Scholar
• Schkade D. A., Kahneman D. Does living in California make people happy? A focusing illusion in judgments of life satisfaction. Psych. Sci. (1998) 9(5):340–346Crossref, Google Scholar
• Schotter A., Braunstein Y. M. Economic search: An experimental study. Econom. Inquiry (1981) 19(1):1–25Crossref, Google Scholar
• Schwarz N., Sorrentino R., Higgins E. T. Feelings as information: Informational and motivational functions of affective states. Handbook of Motivation and Cognition (1990) 2(Guilford Press, New York) 527–561Google Scholar
• Shu S. B. Future-biased search: The quest for the ideal. J. Behav. Decision Making (2008) 21(4):352–377Crossref, Google Scholar
• Sonnemans J. Strategies of search. J. Econom. Behav. Organ. (1998) 35(3):309–332Crossref, Google Scholar
• Stern S. Simulation-based estimation. J. Econom. Lit. (1997) 35(4):2006–2039Google Scholar
• Stigler G. J. The economics of information. J. Political Econom. (1961) 69(3):213–225Crossref, Google Scholar
• Suh E., Diener E., Fujita F. Events and subjective well-being: Only recent events matter. J. Personality Soc. Psych. (1996) 70(5):1091–1102Crossref, Google Scholar
• Train K.Discrete Choice Methods with Simulation (2003) (Cambridge University Press, New York) Crossref, Google Scholar
• Wilson T. D., Gilbert D. T. Affective forecasting: Knowing what to want. Current Directions Psych. Sci. (2005) 14(3):131–134Crossref, Google Scholar
• Wilson T. D., Wheatley T., Meyers J. M., Gilbert D. T., Axsom D. Focalism: A source of durability bias in affective forecasting. J. Personality Soc. Psych. (2000) 78(5):821–836Crossref, Google Scholar
• Zwick R., Rapoport A., Lo A. K. C., Muthukrishnan A. V. Consumer sequential search: Not enough or too much? Marketing Sci. (2003) 22(4):503–519Link, Google Scholar