Path Data in Marketing: An Integrative Framework and Prospectus for Model Building

References

• Adler T., Ben-Akiva M. A theoretical and empirical model of trip chaining behavior. Transportation Res. B (1979) 13:243–257Crossref, Google Scholar
• Arentze T. A., Oppewal H., Timmermans H. A multipurpose shopping trip model to assess retail agglomeration effects. J. Marketing Res. (2005) 42(1):109–115Crossref, Google Scholar
• Argo J. J., Dahl D. W., Manchanda R. V. The influence of a mere social presence in a retail context. J. Consumer Res. (2005) 32(2):207–212Crossref, Google Scholar
• Ausiello G., Feuerstein E., Leonardi S., Stougie L., Talamo M. Algorithms for the on-line traveling salesman. Algorithmica (2001) 29(4):560–581Crossref, Google Scholar
• Banerjee A. V. A simple model of herd behavior. Quart. J. Econom. (1992) 107(3):797–817Crossref, Google Scholar
• Banerjee A., Ghosh J. Concept-based clustering of clickstream data. Proc. 3rd Internat. Conf. Inform. Tech. (2000) Bhubaneswar, India:145–150Google Scholar
• Banerjee A., Ghosh J. Clickstream clustering using weighted longest common subsequences. Proc. SIAM Conf. Data Mining: Workshop Web Mining (2001) Chicago(ACM, New York) 33–40Google Scholar
• Banerjee S., Carlin B. P., Gelfand A. E.Hierarchical Modeling and Analysis for Spatial Data (2004) (Chapman & Hall, Boca Raton, FL) Google Scholar
• Bates M. J. The design of browsing and berrypicking techniques for the online search interface. Online Rev. (1989) 13(5):407–424Crossref, Google Scholar
• Becker G. S. A note on restaurant pricing and other examples of social influence on price. J. Political Econom. (1991) 99(5):1109–1116Crossref, Google Scholar
• Bell D., Song S. Neighborhood effects and trial on the Internet: Evidence from online grocery retailing. Quant. Marketing Econom. (2007) 5(4):361–400Crossref, Google Scholar
• Bitgood S., Dukes S. Not another step! Economy of movement and pedestrian choice point behavior in shopping malls. Environ. Behav. (2006) 38(3):394–405Crossref, Google Scholar
• Blackmore S.Consciousness: An Introduction (2003) (Oxford University Press, New York) Google Scholar
• Bollobas B.Graph Theory: An Introductory Course (1979) (Springer-Verlag, New York) Crossref, Google Scholar
• Bradlow E. T. Exploring repeated measure data sets for key features using principal components analysis. Internat. J. Res. Marketing (2002) 19(2):167–179Crossref, Google Scholar
• Bradlow E. T., Bronnenberg B., Russell G. J., Arora N., Bell D. R., Duvvuri S. D., Hofstede F. T., Sismeiro C., Thomadsen R., Yang S. Spatial models in marketing. Marketing Lett. (2005) 16(3–4):267–678Crossref, Google Scholar
• Bril G. Forecasting hurricane tracks using the Kalman filter. Environmetrics (1995) 6(1):7–16Crossref, Google Scholar
• Broder A., Kumar R., Maghoul F., Raghavan P., Rajagopalan S., Stata R., Tomkins A., Wiener J. Graph structure of the Web. Comput. Networks (2000) 33(1–6):309–320Crossref, Google Scholar
• Brooks C. M., Kaufmann P. J., Lichtenstein D. R. Travel configuration on consumer trip-chained store choice. J. Consumer Res. (2004) 31(2):241–248Crossref, Google Scholar
• Bucklin R. E., Lattin J. M., Ansari A., Gupta S., Bell D., Coupey E., Little J. D. C., Mela C., Montgomery A., Steckel J. Choice and the Internet: From Clickstream to research stream. Marketing Lett. (2002) 13(3):245–258Crossref, Google Scholar
• Burke R. R. Virtual shopping: Breakthrough in marketing research. Harvard Bus. Rev. (1996) 74(2):120–131Google Scholar
• Burke R. R., Drafft M., Mantrala M. The third wave of marketing intelligence. Retailing in the 21st Century: Current and Future Trends (2005) (Springer, New York) 113–125Google Scholar
• Camerer C., Ho T.-H. Experience-weighted attraction learning in normal form games. Econometrica (1999) 67(4):827–874Crossref, Google Scholar
• Catledge L. D., Pitkow J. E. Characterizing browsing strategies in the World-Wide Web. Comput. Networks ISDN Systems (1995) 27(6):1065–1073Crossref, Google Scholar
• Chandon P., Hutchison J. W., Bradlow E., Young S. H. Measuring the value of point-of-purchase marketing with commercial eye-tracking data. (2006) . INSEAD Business School Reasearch Paper 2007/22/MKT/ACGRD, http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1032162Google Scholar
• Chi E. H., Pirolli P., Chen K., Pitkow J. Using information scent to model user information needs and actions on the Web. Proc. Human Factors Comput. Systems (CHI 2001) (2001) (ACM Special Interest Group on Computer-Human Interactions, Seattle) 490–497Crossref, Google Scholar
• Chintagunta P. K. Investigating purchase incidence, brand choice and purchase quantity decisions of households. Marketing Sci. (1993) 12(2):184–208Link, Google Scholar
• Chopard B., Luthi P., Queloz P.-A. Cellular automata model of car traffic in two-dimensional street networks. J. Phys. A (1996) 29:2325–2336Crossref, Google Scholar
• Cormen T. H., Leiserson C. E., Rivest R. L., Stein C.Introduction to Algorithms (2001) 2nd ed.(MIT Press, Cambridge, MA) Google Scholar
• Crist T. O., Guertin D. S., Wiens J. A., Milne B. T. Animal movement in heterogeneous landscapes: An experiment with Eleodes beetles in shortgrass prairie. Funct. Ecology (1992) 6(5):536–544Crossref, Google Scholar
• Day R.-F., Shyi G. C. W., Wang J.-C. The effect of flash banners on multiattribute decision making: Distractor or source of arousal? Psych. Marketing (2006) 23(5):369–382Crossref, Google Scholar
• Dellaert B. G., Arentze T. A., Bierlaire M., Borgers A. W. J., Timmermans H. J. P. Investigating consumers' tendency to combine multiple shopping purposes and destinations. J. Marketing Res. (1998) 35(2):177–188Crossref, Google Scholar
• Du R. Y., Kamakura W. A. Household life cycles and lifestyles in the United States. J. Marketing Res. (2006) 43(1):121–132Crossref, Google Scholar
• Duchovski A. T. A breadth-first survey of eye tracking applications. Behav. Res. Methods, Instruments, Comput. (2002) 34(4):455–470Crossref, Google Scholar
• Eirinaki M., Vazirgiannis M., Kapogiannis D. Web path recommendations based on page ranking and Markov models. Proc. 7th Annual ACM Internat. Workshop (2005) (ACM, New York) 2–9Crossref, Google Scholar
• Farley J. U., Ring L. W. A stochastic model of supermarket traffic flow. Oper. Res. (1966) 14(4):555–567Link, Google Scholar
• Fox R. J., Krugman D. M., Fletcher J. E., Fischer P. M. Adolescents' attention to beer and cigarette print ads and associated product warnings. J. Advertising Res. (1998) 27(3):57–68Crossref, Google Scholar
• Gogoi P. Retailing, the high-tech way. BusinessWeek Online (2005) July 6). Special Report, Retailing's New TechGoogle Scholar
• Goldberg J. H., Stimson M. J., Lewenstein M., Scott N., Wichansky A. M. Eye tracking in Web search tasks: Design implications. Proc. Sympos. Eye Tracking Res. Appl. (2002) New Orleans(ACM Press, New York) 51–58Crossref, Google Scholar
• Guadagni P. M., Little J. D. C. A logit model of brand choice calibrated on scanner data. Marketing Sci. (1983) 2(3):203–238Link, Google Scholar
• Harrell G. D., Hutt M. D. Buyer behavior under conditions of crowding: An initial framework. Adv. Consumer Res. (1976) 3:36–39Google Scholar
• Harrell G. D., Hutt M. D., Anderson J. C. Path analysis of buyer behavior under conditions of crowding. J. Marketing Res. (1980) 17(1):45–51Crossref, Google Scholar
• Hauser J. R., Urban G. L., Weinberg B. D. How consumers allocate their time when searching for information. J. Marketing Res. (1993) 15(4):452–466Crossref, Google Scholar
• Helbing D., Molnar P. Social force model for pedestrian dynamics. Phys. Rev. E (1995) 51(5):4282–4286Crossref, Google Scholar
• Helbing D., Keltsch J., Molnar P. Modelling the evolution of human trail systems. Nature (1997) 388(6637):47–49Crossref, Google Scholar
• Heller W. Tracking shoppers through the combination store. Progressive Grocer (1988) November):47–64Google Scholar
• Henderson L. F. On the fluid mechanics of human crowd motion. Transportation Res. (1974) 8:509–515Crossref, Google Scholar
• Hoffman D. L., Novak T. P. Marketing in hypermedia computer-mediated environments: Conceptual foundations. J. Marketing (1996) 60:50–68Crossref, Google Scholar
• Hui S. K., Bradlow E. T., Fader P. S. An integrated model of grocery store shopping path and purchase behavior. (2007) . Working paper, http://papers.ssrn.com/sol3/papers.cfm?abstract_id=960960Crossref, Google Scholar
• Hui S. K., Fader P. S., Bradlow E. T. The traveling salesman goes shopping: The systematic deviations of grocery paths from TSP optimality. Marketing Sci. (2008) . ePub ahead of print October 9, http://dx.doi.org/10.1287/mksc.1080.0402Google Scholar
• Janiszewski C. Preattentive mere exposure effects. J. Consumer Res. (1993) 20(3):376–392Crossref, Google Scholar
• Janiszewski C. The influence of display characteristics on visual exploratory search behavior. J. Consumer Res. (1998) 25(3):290–301Crossref, Google Scholar
• Jeanson R., Blanco S., Fournier R., Deneubourg J.-L., Fourcassie V., Theraulaz G. A model of animal movements in a bounded space. J. Theoret. Biol. (2003) 225:443–451Crossref, Google Scholar
• Kalawsky R. S.The Science of Virtual Reality and Virtual Environments: A Technical, Scientific, and Engineering Reference on Virtual Environments (1993) (Addison-Wesley Wokingham, Wokingham, Berks, UK) Google Scholar
• Kamakura W. A., Russell G. J. A probabilistic choice model for market segmentation and elasticity structure. J. Marketing Res. (1989) 26(4):379–390Crossref, Google Scholar
• Kim C.-J., Nelson C. R.State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications (1999) (MIT Press, Cambridge, MA) Google Scholar
• Kim D.-H., Atluri V., Bieber M., Adam N., Yesha Y. A clickstream-based collaborative filtering personalization model: Towards a better performance. Proc. 6th Annual ACM Internat. Workshop Web Inform. Data Management (2004) (ACM, New York) 88–95Crossref, Google Scholar
• Krugman D. M., Fox R. J., Fletcher J. E., Fischer P. M., Rojas T. H. Do adolescents attend to warnings in cigarette advertising? An eye-tracking approach. J. Advertising Res. (1994) 39–52Google Scholar
• Larson J. S., Bradlow E. T., Fader P. S. An exploratory look at supermarket shopping paths. Internat. J. Res. Marketing (2005) 22(4):395–414Crossref, Google Scholar
• Lawler E. L.The Traveling Salesman Problem: A Guided Tour of Combinatorial Optimization (1985) (John Wiley & Sons, New York) Google Scholar
• Lee L., Ariely D. Shopping goals, goal concerteness, and conditional promotions. J. Consumer Res. (2006) 33:60–70Crossref, Google Scholar
• Li H.-F., Lee S.-Y., Shan M.-K. On mining webclick streams for path traversal patterns. 2004 Internat. World Wide Web Conf., Proc. 13th Internat. World Wide Web Conf. (2004) (ACM, New York) 404–405Crossref, Google Scholar
• Lohse G. L. Consumer eye movement patterns on yellow pages advertising. J. Advertising (1997) 16(1):61–73Crossref, Google Scholar
• Lurie N., Mason C. H. Visual representation: Implications for decision making. J. Marketing (2007) 71:160–177Crossref, Google Scholar
• Mobasher B., Dai H., Lou T., Nakagawa M. Effective personalization based on association rule discovery from Web usage data. Proc. 3rd ACM Workshop Web Inform. Data Management (2001) Atlanta(ACM, New York) 9–15Crossref, Google Scholar
• Moe W. W. Buying, searching, or browsing: Differentiating between online shoppers using in-store navigational clickstream. J. Consumer Psych. (2003) 13:29–39Crossref, Google Scholar
• Moe W. W., Fader P. S. Dynamic conversion behavior at e-commerce sites. Management Sci. (2004) 50(3):326–335Link, Google Scholar
• Moe W. W., Chipman H., George E., McCulloch R. A Bayesian treed model of online purchasing behavior using in-store navigational clickstream. (2002) . Working paper, University of Texas at Austin, AustinGoogle Scholar
• Montgomery A. L., Li S., Srinivasan K., Liechty J. C. Modeling online browsing and path analysis using clickstream data. Marketing Sci. (2004) 23(4):579–595Link, Google Scholar
• Moorman C., Diehl K., Brinberg D., Kidwell B. Subjective knowledge, search locations, and consumer choice. J. Consumer Res. (2004) 31:673–680Crossref, Google Scholar
• Musalem A., Bradlow E. T., Raju J. S. Who's got the coupon? Estimating consumer preferences and coupon usage from aggregate information. J. Marketing Res. (2008) 45(6):715–730Crossref, Google Scholar
• Musalem A., Bradlow E. T., Raju J. S. Bayesian estimation of random-coefficients choice models using aggregate data. J. Appl. Econometrics (2009) . ForthcomingCrossref, Google Scholar
• Otnes C., McGrath M. A. Perceptions and realities of male shopping behavior. J. Retailing (2001) 77:111–137Crossref, Google Scholar
• Park Y.-H., Bradlow E. T. An integrated model for bidding behavior in Internet auctions: Whether, who, when, and how much. J. Marketing Res. (2005) 42(4):470–482Crossref, Google Scholar
• Park Y.-H., Fader P. S. Modeling browsing behavior at multiple websites. Marketing Sci. (2004) 23:280–303Link, Google Scholar
• Payne J. W., Bettman J. R., Johnson E. J. Adaptive strategy selection in decision making. J. Experiment. Psych. (1988) 14(3):534–552Google Scholar
• Pereira J. Spying on the sales floor. Wall Street Journal (2005) December 21):B1Google Scholar
• Pieters R. G. M., Warlop L. Visual attention during brand choice: The impact of time pressure and task motivation. Internat. J. Res. Marketing (1999) 16(1):1–16Crossref, Google Scholar
• Pieters R. G. M., Wedel M. Attention capture and transfer in advertisting: Brand, pictorial, and text-size effects. J. Marketing (2004) 68(April):36–50Crossref, Google Scholar
• Pieters R. G. M., Rosbergen E., Hartog M. Visual attention to advertising: The impact of motivation and repetition. Adv. Consumer Res. (1996) 23:242–248Google Scholar
• Pieters R. G. M., Rosbergen E., Wedel M. Visual attention to repeated print advertising: A test of scanpath theory. J. Marketing Res. (1999) 18(November):424–438Crossref, Google Scholar
• Pieters R. G. M., Warlop L., Wedel M. Breaking through the clutter: Benefits of advertising originality and familiarity for brand attention and memory. Management Sci. (2002) 48(6):765–781Link, Google Scholar
• Polovina J. J., Kobayashi D. R., Parker D. M., Seki M. P., Balazs G. H. Turtles on the edge: Movement of loggerhead turtles (Caretta caretta) along oceanic fronts, spanning longline fishing grounds in the Central North Pacific, 1997–1998. Fisheries Oceanography (2000) 9:71–82Crossref, Google Scholar
• Preisler H. K., Ager A. A., Johnson B. K., Kie J. G. Modeling animal movements using stochastic differential equations. Environmetrics (2004) 15:643–657Crossref, Google Scholar
• Rabiner L. R. A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE (1989) 777(2):257–286Crossref, Google Scholar
• Ramsay J., Silverman B. W.Functional Data Analysis (2005) (Springer, New York) Crossref, Google Scholar
• Rayner K. Eye movements in reading and information processing: 20 years of research. Psych. Bull. (1998) 124(3):372–422Crossref, Google Scholar
• Rayner K., Rotello C. M., Stewart A. J., Keir J., Duffy S. A. Integrating text and pictorial information: Eye movements when looking at print advertisement. J. Experiment. Psych. Appl. (2001) 7(3):219–226Crossref, Google Scholar
• Reynolds C. W. Flocks, herds and schools: A distributed behavioral model. Comput. Graphics (1987) 21(4):25–34Crossref, Google Scholar
• Robertson S. E. Theories and models in information retrieval. J. Documentation (1977) 33(2):126–148Crossref, Google Scholar
• Rosbergen E., Pieters R., Wedel M. Visual attention to advertising: A segment-level analysis. J. Consumer Res. (1997) 24(3):305–314Crossref, Google Scholar
• Rossi P. E., Allenby G., McCulloch R.Bayesian Statistics and Marketing (2006) (John Wiley & Sons, New York) Crossref, Google Scholar
• Rudin W.Principles of Mathematical Analysis (1976) 3rd ed.(McGraw-Hill, New York) Google Scholar
• Sen S., Johnson E. J. Mere-possession effects without possession in consumer choice. J. Consumer Res. (1997) 24(1):105–117Crossref, Google Scholar
• Shahabi C., Zarkesh A. M., Adibi J., Shah V. Knowledge discovery from users Web-page navigation. Proc. IEEE Researcher Issues in Data Engrg. (1997) Birmingham, UK:20Crossref, Google Scholar
• Sismeiro C., Bucklin R. E. Modeling purchase behavior at an e-commerce website: A task completion approach. J. Marketing Res. (2004) 16:306–323Crossref, Google Scholar
• Song I., Chintagunta P. K. A micromodel of new product adoption with heterogeneous and forward-looking consumers: Application to the digital camera category. Quant. Marketing Econom. (2003) 1(4):371–407Crossref, Google Scholar
• Sorensen H. The science of shopping. Marketing Res. (2003) 15(3):30–35Google Scholar
• Stewart A. J., Pickering M. J., Sturt P. Using eye movements during reading as an implicit measure of the acceptability of brand extensions. Appl. Cognitive Psych. (2004) 18:697–709Crossref, Google Scholar
• Sun B., Neslin S. A., Srinivasan K. Measuring the impact of promotions on brand switching when consumers are forward-looking. J. Marketing Res. (2003) 40(November):389–405Crossref, Google Scholar
• Teknomo K., Takeyama Y., Inamura H. Determination of pedestrian flow performance based on video tracking and microscopic simulations. Proc. Infrastructure Planning (2000) 23(1):639–642Google Scholar
• Theusinger C., Huber K.-P. Analyzing the footsteps of your customers. (2000) . Web Knowledge Discovery and Data Mining (WEBKDD), Boston. http://robotics.stanford.edu/∼ronnyk/WEBKDD2000/papers/theusinger.pdfGoogle Scholar
• Thill J.-C., Thomas I. Toward conceptualizing trip-chaining behavior: A review. Geographical Anal. (1987) 19(1):1–17Crossref, Google Scholar
• Thrun S., Burgard W., Fox D.Probabilistic Robotics (2005) (MIT Press, Cambridge, MA) Google Scholar
• Underhill P.How We Buy: The Science of Shopping (2000) (Simon & Schuster, New York) Google Scholar
• Underhill P.Call of the Mall: The Geography of Shopping (2004) (Simon & Schuster, New York) Google Scholar
• Urban G. L., Hauser J. R., Qualls W. J., Weinberg B. D., Bohlmann J. D., Chicos R. A. Information acceleration: Validation and lessons from the field. J. Marketing Res. (1997) 34(1):143–153Crossref, Google Scholar
• Vrechopoulos A. P., O'Keefe R. M., Doukidis G. I., Siomkos G. J. Virtual store layout: An experimental comparison in the context of grocery retail. J. Retailing (2004) 80:13–22Crossref, Google Scholar
• Wainer H.Graphic Discovery: A Trout in the Milk and Other Visual Adventures (2004) (Princeton University Press, Princeton, NJ) Google Scholar
• Zienkiewicz O. C., Taylor R. L., Zhu J. Z.The Finite Element Method: Its Basis and Fundamentals (2005) (Elsevier Butterworth-Heinemann, Oxford, UK) Google Scholar