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Travel Information Search

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Handbook of e-Tourism

Abstract

Information search has long been considered one of the most important aspects of the travel decision-making process. This is because the tourism product (i.e., the travel experience) is intangible, complex, and generally evokes a range of emotional responses; additionally, information search for available opportunities of different experiences may occur at all stages of the trip; finally, comparison of one’s experiences one might have while visiting various destinations is extremely difficult. Therefore, research on travel information search is important for tourism marketing and management which requires providing the right information about the right place at the right time. Today’s information technology has the capabilities not only to connect travelers to the right products but also to make the search process personally relevant, inspirational, fun, and enjoyable. This chapter reviews the foundational tourism literature including several widely cited models on travel information search. Then, it discusses the nature and characteristics of online information search and examines the emerging conditions that may have significant impact on this behavior. Finally, it discusses the directions for future research and implications for tourism marketing.

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References

  • Amaro S, Duarte P, Henriques C (2016) Travelers’ use of social media: a clustering approach. Ann Tour Res 59:1–15

    Article  Google Scholar 

  • Beaman J (1974) Distance and ‘Reaction’ to distance as a function of distance. J Leis Res 6(Summer):220–231

    Article  Google Scholar 

  • Bettman JR (1970) Information processing models of consumer behavior. J Mark Res 7(August):370–376

    Article  Google Scholar 

  • Bettman JR (1979) An information processing theory of consumer choice. Addison-Wesley, Reading

    Google Scholar 

  • Benckendorff PJ, Xiang Z, Sheldon PJ (2019) Tourism information technology. CABI, Boston

    Book  Google Scholar 

  • Bieger T, Laesser C (2004) Information sources for travel decisions: toward a source process model. J Travel Res 42(4):357–371

    Article  Google Scholar 

  • Biocca FA, Jackson LA, Dobbins H, Barbatsis G, von Eye A, Fitzgerald HE, Zhao Y (2001) Adapting computer interfaces to differences in cognitive and cultural style. In: Paper presented at the symposium on the digital divide, international communications association (ICA) and international association of media and communication research (IAMCR), University of Texas, Austin, Nov 16–18

    Google Scholar 

  • Bloch PH, Sherrell DL, Ridgway NM (1986) Consumer search: an extended framework. J Consum Res 13:119–126

    Article  Google Scholar 

  • Brucks M (1985) The effects of product class knowledge on information search behavior. J Consum Res 12:1–16

    Article  Google Scholar 

  • Buhalis D, Law R (2008) Progress in information technology and tourism management: 20 years on and 10 years after the internet – the state of eTourism research. Tour Manag 29: 609–623

    Article  Google Scholar 

  • Capella LM, Greco AJ (1987) Information sources for elderly vacation decisions. Ann Tour Res 14:148–151

    Article  Google Scholar 

  • Celsi R, Olsen J (1988) The role of involvement in attention and comprehension processes. J Consum Res 15:37–47

    Article  Google Scholar 

  • Cho MH, Jang S (2008) Information value structure for vacation travel. J Travel Res 47(1): 72–83

    Article  Google Scholar 

  • Choe Y, Vogt C, Fesenmaier DR (2017a) Twenty-five years since Vogt: assessing the changing information needs of American travelers. In: Schegg R, Stangl B (eds) Information and communications technologies in Tourism 2017. Springer, Vienna

    Google Scholar 

  • Choe Y, Stienmetz JL, Fesenmaier DR (2015a) Prior experience and destination advertising response. Tour Anal 19(3):351–359

    Article  Google Scholar 

  • Choe Y, Stienmetz JL, Fesenmaier DR (2015b) Trip budget and destination advertising response. Tour Anal 19(3):713–722

    Google Scholar 

  • Choe Y, Stienmetz JL, Fesenmaier DR (2017b) Measuring destination marketing: comparing four models of advertising conversion, J Travel Res 56(2):143–157

    Article  Google Scholar 

  • Choe Y, Kim J, Fesenmaier DR (2017c) Use of social media across the trip experience: an application of latent transition analysis. J Travel Tour Mark 34(4):431–443

    Article  Google Scholar 

  • Cohen SA, Prayag G, Moital M (2014) Consumer behaviour in tourism: concepts, influences and opportunities. Curr Issue Tour 17(10):872–909

    Article  Google Scholar 

  • Crotts J (1999) Consumer decision making and prepurchase information search. In: Pizam A, Mansfeld Y (eds) Consumer behavior in travel and tourism. Psychology Press, New York

    Google Scholar 

  • Darley WK, Smith RE (1995) Gender differences in information processing strategies: an empirical test of the selectivity model in advertising response. J Advert 24(1):41–56

    Article  Google Scholar 

  • Decrop A (1999) Tourists’ decision-making and behavior processes. In: Pizam A, Mansfeld Y (eds) Consumer behavior in travel and tourism. The Haworth Hospitality Press, Binghamton, pp 103–134

    Google Scholar 

  • Dellaert BGC, Arentze TA, Horeni O (2013) Tourists’ mental representations of complex travel decision problems. J Travel Res 53(1):3–11

    Article  Google Scholar 

  • Dellaert BGC, Ettema DF, Lindh C (1998) Multi-faceted tourist travel decisions: a constraint-based conceptual framework to describe sequential choices of travel components. Tour Manag 19(4):313–320

    Article  Google Scholar 

  • Delic A, Neidhardt J, Nguyen TN, Ricci F (2018) An observational user study for group recommender systems in the tourism domain. Inf Technol Tour 19(1–4):87–116

    Article  Google Scholar 

  • Dholakia UM, Bagozzi RP (2001) Consumer behavior in digital environments. In: Wind J, Mahajan V (eds) Digital marketing: global strategies from the world’s leading experts. Wiley, New York, pp 163–200

    Google Scholar 

  • Dickinger A (2011) The trustworthiness of online channels for experience- and goal-directed search tasks. J Travel Res 50(4):378–391

    Article  Google Scholar 

  • Eppler MJ, Mengis J (2004) The concept of information overload: a review of literature from organization science, accounting, marketing, MIS, and related disciplines. Inf Soc 20(5): 325–344

    Article  Google Scholar 

  • Etzel MJ, Wahlers RG (1985) The use of requested promotional material by pleasure travelers. J Travel Res 23(Spring):2–6

    Article  Google Scholar 

  • Fesenmaier DR, Bharadwaj N, Stienmetz J, Xiang Z (2016) Micro-marketing and big data analytics: An information system for destination marketing management. In: Uysal M, Schwartz Z, Sirakaya-Turk E (eds) Hospitality and tourism: theory, practice, and application. Taylor & Francis, London

    Google Scholar 

  • Fesenmaier DR, Johnson B (1989) Involvement-based segmentation: implications for travel marketing in Texas. Tour Manag 10:293–300

    Article  Google Scholar 

  • Fesenmaier DR, Vogt C (1993) Evaluating the utility of touristic information sources for planning midwest vacation travel. J Travel Tour Mark 1(2):1–18

    Article  Google Scholar 

  • Fesenmaier DR, Wöber KW, Werthner H (eds) (2006) Destination recommendation systems: behavioural foundations and applications. CABI, Oxfordshire

    Google Scholar 

  • Fesenmaier DR, Xiang Z, Pan B, Law R (2011) A framework of search engine use for travel planning. J Travel Res 50(6):587–601

    Article  Google Scholar 

  • Filep S, Pearce P (eds) (2013) Tourist experience and fulfilment: Insights from positive psychology, vol 31. Routledge, London

    Google Scholar 

  • Finn D (1983) Low involvement isn’t low involving. In: Bagozzi RP, Tybout A (eds) Advances in consumer research, association for consumer research, Ann Arbor, pp 419–424

    Google Scholar 

  • Fodness D, Murray B (1998) A typology of tourist information search strategies. J Travel Res 37(2):108–119

    Article  Google Scholar 

  • Friedman TL (2016) Thank you for being late: an optimist’s guide to thriving in the age of accelerations. Straus and Giroux, Farrar

    Google Scholar 

  • Gitelson RJ, Crompton JL (1983) The planning horizons and sources of information used by pleasure vacationers. J Travel Res 21(3):2–7

    Article  Google Scholar 

  • Grabler K, Zins AH (2002) Vacation trip decision styles as basis for an automated recommendation system: lessons from observational studies. In: Wober K, Frew A, Hitz M (eds) Information and communication technologies in tourism 2002. Springer, Vienna, pp 458–469

    Chapter  Google Scholar 

  • Gretzel U (2010) Travel in the network: redirected gazes, ubiquitous connections and new frontiers. In: Levina M, Kien G (eds) Post-global network and everyday life, pp 41–58. Peter Lang, New York

    Google Scholar 

  • Gretzel U, Yoo KH (2008) Use and impact of online travel reviews. Information and communication technologies in tourism 35–46

    Google Scholar 

  • Gretzel U, Fesenmaier DR, O’Leary JT (2006) The transformation of consumer behavior. In: Buhalis D, Costa C (eds) Tourism business frontier, pp 9–18. Elsevier, Oxford

    Chapter  Google Scholar 

  • Gretzel U, Hwang Y, Fesenmaier DR (2012) Informing destination recommender systems design and evaluation through quantitative research. Int J Cult Hosp Tour Res 6(4):297–315

    Article  Google Scholar 

  • Grønflaten O (2009) The tourist information matrix – differentiating between sources and channels in the assessment of travellers’ information search. Scand J Hosp Tour 9(1):39–64

    Article  Google Scholar 

  • Gursoy D, McCleary KW (2004) An integrative model of tourists’ information search behavior. Ann Tour Res 31(2):353–373

    Article  Google Scholar 

  • Höpken W, Eberle T, Fuchs M, Lexhagen M (2019) Google trends data for analyzing tourists’ online search behavior and improving demand forecasting: the case of Åre, Sweden. Inf Technol Tour 21(1):45–62

    Article  Google Scholar 

  • Höpken W, Fuchs M, Keil D, Lexhagen M (2015) Business intelligence for cross-process knowledge extraction at tourism destinations. Inf Technol Tour 15(2):101–130

    Article  Google Scholar 

  • Hwang YH (2011) A theory of unplanned travel decisions: implications for modeling on-the-go travelers. Inf Technol Tour 12(3):283–296

    Article  Google Scholar 

  • Hwang Y-H, Xiang Z, Gretzel U, Fesenmaier DR (2009) Assessing structure in travel queries. Anatolia 20(1):23–35

    Article  Google Scholar 

  • Jamrozy U, Backman S, Backman K (1996) Involvement and opinion leadership in tourism. Ann Tour Res 23:908–924

    Article  Google Scholar 

  • Jang SC (2005) The past, present, and future research of online information search. J Travel Tour Mark 17(2–3):41–47

    Google Scholar 

  • Jeng J, Fesenmaier DR (2002) Conceptualizing the travel decision-making hierarchy: a review of recent developments. Tour Anal 7(1):15–32

    Article  Google Scholar 

  • Jun SH, Vogt C (2013) Travel information processing: applying a dual processing model. Ann Tour Res 40:191–212

    Article  Google Scholar 

  • Kim H, Xiang Z, Fesenmaier DR (2015) Use of the internet for trip planning: a generational analysis. J Travel Tour Mark 32(3):276–289

    Article  Google Scholar 

  • Lamsfus C, Wang D, Alzua-Sorzabal A, Xiang Z (2015) Going mobile: defining context for on-the-go travelers. J Travel Res 54(6):691–701

    Article  Google Scholar 

  • Lehto XY, Kim DY, Morrison A (2006) The effect of prior destination experience on online information search behaviour. Tour Hosp Res 6(2):160–178

    Article  Google Scholar 

  • Leiper N (1990) Tourist Attraction Systems. Ann Tour Res 17(3):367–84

    Article  Google Scholar 

  • Lengieza M, Hunt CA, Swim JK (2019) Measuring Eudaimonic travel experiences. Ann Tour Res 74:195–197

    Article  Google Scholar 

  • Levine R, Locke C, Searls D, Weinberger D (2000) The cluetrain manifesto: the end of business as usual. Perseus, Cambridge

    Google Scholar 

  • Li X, Pan B, Law R, Huang X (2017) Forecasting tourism demand with composite search index. Tour Manag 59:57–66

    Article  Google Scholar 

  • Litvin SW, Goldsmith RE, Pan B (2008) Electronic word-of-mouth in hospitality and tourism management. Tour Manag 29(3):458–468

    Article  Google Scholar 

  • Luo M, Feng R, Cai LA (2004) Information search behavior and tourist characteristics: the internet vis-à-vis other information sources. J Travel Tour Mark 17(2–3):15–25

    Article  Google Scholar 

  • McKercher R (1998) The effect of market access on destination choice. J Travel Res 37: 39–47

    Article  Google Scholar 

  • MacKay K, Vogt C (2012) Information technology in everyday and vacation contexts. Ann Tour Res 39(3):1380–1401

    Article  Google Scholar 

  • March R, Woodside AG (2005) Testing theory of planned versus realized tourism behavior. Ann Tour Res 32(4):905–924

    Article  Google Scholar 

  • Mayo EJ, Jarvis LP (1981) The psychology of leisure travel: effective marketing and selling of travel services. CABI Publishing, Boston

    Google Scholar 

  • Moscardo G (2010) The shaping of tourist experiences: the importance of stories and themes. In: Morgan M, Lugosi P, Ritchie JRB (eds) The tourism and leisure experience: consumer and managerial perspectives. Channel View, Bristol, pp 43–58

    Chapter  Google Scholar 

  • Moscardo G (2017) Stories as a tourist experience design tool. In: Fesenmaier DR, Xiang Z (eds) Design science in tourism: foundations of destination management. Springer, Vienna, pp 97–124

    Chapter  Google Scholar 

  • Munar AM, Jacobsen JKS (2013) Trust and involvement in tourism social media and web-based travel information sources. Scand J Hosp Tour 13(1):1–19

    Article  Google Scholar 

  • Murphy J, Hofacker C, Gretzel U (2017) Dawning of the age of robots in hospitality and tourism: challenges for teaching and research. Eur J Tour Res 15:104–111

    Article  Google Scholar 

  • Narangajavana Y, Fiol LJC, Tena MÁM, Artola RMR, García JS (2017) The influence of social media in creating expectations. An empirical study for a tourist destination. Ann Tour Res 65:60–70

    Article  Google Scholar 

  • Pabel A, Prideaux B (2016) Social media use in pre-trip planning by tourists visiting a small regional leisure destination. J Vacat Mark 22(4):335–348

    Article  Google Scholar 

  • Pan B, Fesenmaier DR (2006) Online information search: vacation planning process. Ann Tour Res 33(3):809–832

    Article  Google Scholar 

  • Pan B, Li XR (2011) The long tail of destination image and online marketing. Ann Tour Res 38(1):132–152

    Article  Google Scholar 

  • Pirolli P, Card SK (1999) Information foraging. Psychol Rev 106:643–675

    Article  Google Scholar 

  • Plog SC (1994) Developing and using psychographics in tourism research. In: Ritchie JRB, Goeldner CR (eds) Travel, tourism and hospitality research: a handbook for managers and researchers. Wiley, Brisbane

    Google Scholar 

  • Reid IS, Crompton JL (1993) A taxonomy of leisure purchase decision paradigms based on level of involvement. J Leis Res 25(2):182–202

    Article  Google Scholar 

  • Roehl WS, Fesenmaier DR (1992) Risk perception and pleasure travel: an exploratory analysis. J Travel Res 30(4):17–26

    Article  Google Scholar 

  • Ricci F (2002) Travel recommender systems. IEEE Intell Syst 17(6):55–57

    Google Scholar 

  • Schmidt JB, Spreng RA (1996) A proposed model of external consumer information search. J Acad Market Sci 24(3):246–256

    Article  Google Scholar 

  • Scott SG, Bruce RA (1995) Decision-making style: the development and assessment of a new measure. Educ Psychol Meas 55(5):818–831

    Article  Google Scholar 

  • Serruya MD, Hatsopoulos NG, Paninski L, Fellows MR, Donoghue JP (2002) Brain-machine interface: instant neural control of a movement signal. Nature 416(6877):141

    Article  Google Scholar 

  • Simon HA (1957) Models of man. Wiley, New York

    Google Scholar 

  • Sirgy J, Uysal M (2016) Developing a eudemonia research agenda in travel and tourism. In: Vitterso J (ed) Handbook of eudaimonic well-being, pp 485–495. Springer, Dodrecht

    Chapter  Google Scholar 

  • Snepenger D, Meged K, Snelling M, Worrall K (1990) Information search strategies by destination-naive tourists. J Travel Res 29(1):13–16

    Article  Google Scholar 

  • Sparrow B, Liu J, Wegner DM (2011) Google effects on memory: cognitive consequences of having information at our fingertips. Science 333(6043):776–778

    Article  Google Scholar 

  • Spink A, Zimmer M (eds) (2008) Web search: multidisciplinary perspectives, vol 14. Springer, New York

    Google Scholar 

  • Sproles GB, Kendall E (1986) A methodology for profiling consumers’ decision-making styles. J Consum Aff 20(2):268–279

    Google Scholar 

  • Stienmetz JL, Fesenmaier DR (2013) Traveling the network: a proposal for destination performance metrics. Int J Tour Sci 13(2):57–75

    Google Scholar 

  • Stewart SI, Vogt CA (1999) A case-based approach to understanding vacation planning. Leis Sci 21(2):79–95

    Article  Google Scholar 

  • Tussyadiah I, Park S, Fesenmaier DR (2011) Assessing the effectiveness of consumer narratives for destination marketing. J Hosp Tour Res 35(1):64–78

    Article  Google Scholar 

  • Tung VWS, Au N (2018) Exploring customer experiences with robotics in hospitality. Int J Contemp Hosp Manag 30(7):2680–2697

    Article  Google Scholar 

  • Tversky A, Kahneman D (1974) Judgments under uncertainty: heuristics and biases. Science 185(4157):1124–1131

    Article  Google Scholar 

  • Um S, Crompton JL (1991) Development of pleasure travel attitude dimensions. Ann Tour Res 18:374–378

    Article  Google Scholar 

  • Um S, Crompton JL (1990) Attitude determinants in tourism destination choice. Ann Tour Res 17(3):432–448

    Article  Google Scholar 

  • Um S, Crompton JL (1992) The roles of perceived inhibitors and facilitators in pleasure travel destination decisions. J Travel Res 30(3):18–25

    Article  Google Scholar 

  • Vogt C, Fesenmaier DR (1998) Expanding the functional information search model. Ann Tour Res 25(3):551–578

    Article  Google Scholar 

  • Vogt CA, Fesenmaier DR, MacKay K (1994) Functional and aesthetic information needs underlying the pleasure travel experience. J Travel Tour Mark 2(2–3):133–146

    Article  Google Scholar 

  • Volo S (2009) Conceptualizing experience: a tourist-based approach. J Hosp Mark Manag 2/3:111–126

    Google Scholar 

  • Wang D, Park S, Fesenmaier DR (2012) The role of smartphones in mediating the touristic experience. J Travel Res 51(4):371–387

    Article  Google Scholar 

  • Wang D, Xiang Z, Fesenmaier DR (2016) Smartphone use in everyday life and travel. J Travel Res, 55(1):52–63

    Article  Google Scholar 

  • Werthner H, Klein S (1999) Information technology and tourism: a challenging relationship. Springer, Wien

    Book  Google Scholar 

  • Wolfe RI (1972) The Inertia model. J Leis Res 4(Winter):73–76

    Article  Google Scholar 

  • Woodside AG, Lysonski S (1989) A general model of traveler destination choice. J Travel Res 27(4):8–14

    Article  Google Scholar 

  • Woodside AG, MacDonald R (1994) General system framework of customer choice processes of tourism services. In: Gasser RV, Weiermair K (eds) Spoilt for choice. Decision making processes and preference change of tourists: intertemporal and intercountry perspectives. Kulturverlag, Thaur, pp 30–59

    Google Scholar 

  • Woodside AG, Ronkainen IA (1980) Vacation planning segments: self-planning vs users of motor club and travel agents. Ann Tour Res 7:385–393

    Article  Google Scholar 

  • Woodside AG, Sood S, Miller KE (2008) When consumers and brands talk: storytelling theory and research in psychology and marketing. Psychol Mark 25(2):97

    Article  Google Scholar 

  • Xiang Z, Choe Y, Fesenmaier DR (2014) Searching the travel network. In: McCabe S (ed) The Routledge handbook of tourism marketing. Routledge, Oxon, pp 281–298

    Google Scholar 

  • Xiang Z, Fesenmaier DR (2017) Analytics in smart tourism design. Springer, Vienna

    Book  Google Scholar 

  • Xiang Z, Gretzel U (2010) Role of social media in online travel information search. Tour Manag 31(2):179–188

    Article  Google Scholar 

  • Xiang Z, Magnini VP, Fesenmaier DR (2015) Information technology and consumer behavior in travel and tourism: insights from travel planning using the internet. J Retail Consumer Stud 22(c):244–249

    Article  Google Scholar 

  • Xiang Z, Pan B (2011) Travel queries on cities in the United States: implications for search engine marketing for tourist destinations. Tour Manag 32(1):88–97

    Article  Google Scholar 

  • Xiang Z, Wang D, O’Leary JT, Fesenmaier DR (2015) Adapting to the internet: trends in travelers’ use of the web for trip planning. J Travel Res 54(4):511–527

    Article  Google Scholar 

  • Xiang Z, Wöber K, Fesenmaier DR (2008) Representation of the online tourism domain in search engines. J Travel Res 47(2):137–150

    Article  Google Scholar 

  • Zach F, Gretzel U (2011) Tourist-activated networks: implications for dynamic bundling and en route recommendations. Inf Technol Tour 13(3):229–238

    Article  Google Scholar 

  • Zarezadeh Z, Benckendorff P, Gretzel U (2019) Lack of progress in tourist information search research: a critique of citation behaviour and knowledge development. Curr Issue Tour 22(19):2415–2429

    Article  Google Scholar 

  • Zhang W, Choe Y, Fesenmaier DR (2019) The defining features of emotions in online stories. e-Rev Tour Res 16(2/3):136–145

    Google Scholar 

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Xiang, Z., Fesenmaier, D.R. (2022). Travel Information Search. In: Xiang, Z., Fuchs, M., Gretzel, U., Höpken, W. (eds) Handbook of e-Tourism. Springer, Cham. https://doi.org/10.1007/978-3-030-48652-5_55

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