P1: IML/FFX P2: IML/FFX QC: IML/FFX T1: IML
Travel-REVISED WL040/Bidgoli-Vol III-Ch-39 August 14, 2003 17:52 Char Count= 0
REFERENCES 473Information asymmetry Also referred to as informa-
tion gap; a condition in which at least some rele-
vant information is known to some but not all parties
involved. Information asymmetry causes markets to
become inefficient, because not all players have equal
access to information needed for decision-making
processes.
Intermediary A third party organization such as a travel
agent, tour operator, incoming agent, hotel chain, or
CRS/GDS provider that facilitates information transfer
and/or transactions between the primary suppliers and
consumers of tourism products and services.
Telepresence A mental state in which a user feels phys-
ically present within a remote, computer-mediated
environment.
Travel and tourism industry The individuals and orga-
nizations that are involved in the production and dis-
tribution of travel and tourism-related products.
Travel decision support system (TDSS) An informa-
tion system designed to simplify the travel decision-
making process and support consumers in the various
steps involved in planning trips.
Travel destination The end-point of a trip or trip
segment. The term is also used to describe a geogr-
aphically or perceptionally defined area of particu-
lar interest to tourists and includes all attractions
and other tourism establishments that exist within its
boundaries.
Tourism experience The sum of sensory, cognitive, and
emotional inputs derived from the activities pursued
during a vacation.
Virtual travel community A community facilitated by
computer-mediated communication that allows its
members to conduct various types of travel-related
tasks, such as obtaining travel information, maintain-
ing connections, finding travel companions, or sim-
ply having fun by telling each other interesting stories
about their travel experiences.
Virtual tour A tool that enables potential con-
sumers of tourism products to explore and immerse
themselves within an interactive Web environment
in order to gain the needed experiential information
about a destination or tourism establishment.CROSS REFERENCES
SeeCustomer Relationship Management on the Web; Inter-
net Literacy; Online Communities; Web Site Design.REFERENCES
Brownlie, D., Saren, M., Whittinton, R., & Wensley,
R. (1994). The new marketing myopia: Critical per-
spectives on theory and research in marketing–
Introduction.European Journal of Marketing, 28(3),
6–12.
Cho, Y., & Fesenmaier, D. R. (2001). A new paradigm for
tourism and electronic commerce: Experience market-
ing using the virtual tour. In E. Laws & D. Buhalis
(Eds.),Tourism distribution channels: Practices, issues
and transformations(pp. 351–370). New York: CAB
International.Connolly, D., & Olson, M. (1999).Hospitality technology in
the new millennium: Findings of the IH&RA think-tanks
on technology. Paris: International Hotel & Restaurant
Association.
Connolly, D., Olson, M., & Moore, R. G. (1998, August).
The Internet as a distribution channel.Cornell Hotel
and Restaurant Administrative Quarterly,42–54.
Connolly, D., & Sigala, M. (2001). Major trends and IT
issues facing the hospitality industry in the new econ-
omy: A review of the 5th Annual Pan-European Hospi-
tality Technology Exhibition and Conference.Interna-
tional Journal of Tourism Research, 3,325–327.
Cronin, M. J. (1995).Doing business on the Internet.New
York: Van Nostrand Reinhold.
Day, G. S. (1998). Organizing for interactivity.Journal of
Interactive Marketing, 12(1), 47–53.
Delgado, J., & Davidson, R. (2002). Knowledge bases and
user profiling in travel and hospitality recommender
systems. In K. W ̈ober, A. J. Frew, & M. Hitz (Eds.),In-
formation and Communication Technologies in Tourism
2002, Proceedings of the Annual Conference of the In-
ternational Federation of Information Technology and
Tourism(pp. 1–16). Vienna, Austria: Springer-Verlag.
Dellaert, B. G. C., Ettema, D. F., & Lindh, C. (1998). Multi-
faceted tourist travel decisions: A constraints-based
conceptual framework to describe tourists’ sequential
choices of travel components.Tourism Management,
19 (4), 313–320.
Dertouzos, M. (2001). The unfinished revolution. New
York: HarperCollins Publishers.
eMarketer (1999).eAdvertising report volume II. Retri-
eved December 23, 2002, from http://www.emarketer.
com
Eriksson, O. (2002). Location based destination infor-
mation for the mobile tourist. In K. W ̈ober, A. J. Frew, &
M. Hitz (Eds.),Information and Communication Tech-
nologies in Tourism 2002, Proceedings of the Annual
Conference of the International Federation of Informa-
tion Technology and Tourism(pp. 255−264). Vienna,
Austria: Springer-Verlag.
Evans, P., & Wurster, T. S. (1999).Blown to bits. Boston:
Harvard Business School Press.
Feather, F. (2000).FutureConsumer.Com. Toronto: War-
wick Publishing.
FIND/SVP (1994–1997).American Internet user surveys
developed by the Cyber Dialogue.New York: FIND/SVP.
Forrester Research (1999).Forrester report: Dynamic trade
voyage. Retrieved December 23, 2002, from http://www.
forrester.com/Voyage/PDF/0,2236,4823,00.pdf
Gartrell, R. (1988).Destination marketing for convention
and visitor bureaus. Dubuque, IA: Kendall/Hunt Pub-
lishing Company.
Godin, S. (1999).Permission marketing. New York: Simon
& Schuster.
Goeldner, C. R., & Ritchie, J. R. B. (2002).Tourism: Princi-
ples, practices, philosophies,(9th ed.). New York: Wiley.
Good, N., Schafer, J. B., Konstan, J., Borchers, A., Sarwar,
B., Herlocker, J., & Riedl, J. (1999). Combining col-
laborative filtering with personal agents for better rec-
ommendations. In J. Hendler, D. Subramanian, R.
Uthurusamy, & B. Hayes-Roth (Eds.), Proceedings
of the Sixteenth National Conference on Artificial