How information foraging styles relate to tourism demographics and behaviours

Murphy, Jamie; Olaru, Doina

doi:10.1177/1356766709335692

Cited by 9 publications

(11 citation statements)

References 37 publications

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“…Information search has two forms, internal and external (Fodness & Murray, 1997;Murphy & Olaru, 2009). Internal information search initiates in memory and then external information search involves everything except memory (Peterson & Merino, 2003).…”

Section: Information Searchmentioning

confidence: 99%

Helpful Reviewers in TripAdvisor, an Online Travel Community

Lee

Law

Murphy

2011

Journal of Travel & Tourism Marketing

Self Cite

259

140

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Section: Information Searchmentioning

confidence: 99%

Helpful Reviewers in TripAdvisor, an Online Travel Community

Lee

Law

Murphy

2011

Journal of Travel & Tourism Marketing

Self Cite

259

140

View full text Add to dashboard Cite

“…More pertinently, several researchers explore the link between information search behaviors and travel outcomes, including trip expenditure (Kambele, Li, and Zhou 2015). Murphy and Olaru (2009) classify travelers according to their information foraging strategies: (1) sharks, who are active and have high information needs and (2) spiders, who are passive and mostly rely on personal experience. Based upon information foraging theory (Pirolli and Card 1999), the difference is equivalent to a well-recognized distinction in behavioral ecology between widely foraging predators, such as sharks, and sit-and-wait foragers, such as spiders.…”

Section: Determinant Factors Of Tourism Expensesmentioning

confidence: 99%

Determinant Factors of Tourist Expenses

Park

Woo

Nicolau

2019

Journal of Travel Research

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The objective of this article is to analyze travel expenses across and within types. The empirical application examines the determinant factors of total expenses, controlling for potential endogeneity, and relies on quantile regression to analyze the effects of information search behavior on the distribution of total expenses as well as accommodation, shopping, food and beverages, and local transportation expenses. The role of information sources in predicting travel spending behaviors is a new dimension in the literature on expenses, and a sample of 48,113 travelers has led to the detection of effects of variables with relevant managerial implications (e.g., while official information centers show positive impacts at the upper levels of accommodation expenses, they present null effects at the highest levels of shopping expenses) as well as theoretical implications (special attention should be drawn to the variable length of stay, which, after being controlled by endogeneity, completely loses its significance).

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“…Murphy and Olaru (2009) found significant differences between foraging styles in different education levels. Users with higher levels of education voraciously seek a range of information sources, while users with a lower education level wait for a few convenient sources to come their way (Murphy & Olaru, 2009). Our research model (see Figure 1) shows these demographical characteristics and their effect on decision making outcomes.…”

Section: Research Model and Hypothesesmentioning

confidence: 86%

“…Likewise, demographical characteristics might affect decision outcomes both directly and through their effect on information-foraging behavior (Murphy & Olaru, 2009). Many researchers in the marketing and consumer behavior fields have extensively investigated gender differences in online purchase decisions (e.g., Berni, 2001;Brody, 1984;Chiger, 2001;Gutteling & Wiegman, 1993;Peter, Olson, & Grunert, 1999).…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

The Impact of Sentiment Analysis Output on Decision Outcomes: An Empirical Evaluation

Lak¹,

Turetken²

2017

THCI

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Abstract:User-generated online content serves as a source of product-and service-related information that reduces the uncertainty in consumer decision making, yet the abundance of such content makes it prohibitively costly to use all relevant information. Dealing with this (big data) problem requires a consumer to decide what subset of information to focus on. Peer-generated star ratings are excellent tools for one to decide what subset of information to focus on as they indicate a review's "tone". However, star ratings are not available for all user-generated content and not detailed enough in other cases. Sentiment analysis, a text-analytic technique that automatically detects the polarity of text, provides sentiment scores that are comparable to, and potentially more refined than, star ratings. Despite its popularity as an active topic in analytics research, sentiment analysis outcomes have not been evaluated through rigorous user studies. We fill that gap by investigating the impact of sentiment scores on purchase decisions through a controlled experiment using 100 participants. The results suggest that, consistent with the effort-accuracy trade off and effort-minimization concepts, sentiment scores on review documents improve the efficiency (speed) of purchase decisions without significantly affecting decision effectiveness (confidence).

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How information foraging styles relate to tourism demographics and behaviours

Cited by 9 publications

References 37 publications

Helpful Reviewers in TripAdvisor, an Online Travel Community

Helpful Reviewers in TripAdvisor, an Online Travel Community

Determinant Factors of Tourist Expenses

The Impact of Sentiment Analysis Output on Decision Outcomes: An Empirical Evaluation

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