Planning the summer vacation

Decrop, Alain; Snelders, Dirk

doi:10.1016/j.annals.2004.03.004

Cited by 202 publications

(123 citation statements)

References 27 publications

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“…Moreover, these models do not take into account dyadic or group decisions, which have been shown to be common in a tourism context (Bronner & de Hoog, 2008;Kang & Hsu, 2005;Litvin et al, 2004) and which we will discuss further in the section on group and joint decision-making. Finally, complexity is also heightened by the fact that many travel decisions are highly influenced by situational factors (Decrop & Snelders, 2004;March & Woodside, 2005).…”

Section: Decision-makingmentioning

confidence: 99%

“…One of the main arguments against such models is that they are unable to capture the complexity of decision-making in tourism, which comes from the unique context in which travel decisions are made (Hyde & Lawson, 2003). Complexity arises from the fact that travel decision-making involves multiple decisions about the various elements of the vacation itinerary (Decrop & Snelders, 2004;Hyde & Lawson, 2003), some of which are made prior to the arrival, while others are made while at the destination (Choi et al, 2012). Moreover, these models do not take into account dyadic or group decisions, which have been shown to be common in a tourism context (Bronner & de Hoog, 2008;Kang & Hsu, 2005;Litvin et al, 2004) and which we will discuss further in the section on group and joint decision-making.…”

Section: Decision-makingmentioning

confidence: 99%

“…The processes involved in CB decision-making require the use of models rather than definitions alone to understand their complexity (Swarbrooke & Horner, 2004). Traditionally, CB research has been influenced by research outside tourism, notably the classical buyer behaviour school of thought (Decrop & Snelders, 2004;Sirakaya & Woodside, 2005). The offspring of this school of thought, whether the grand models of CB (Engel, Kollat, & Blackwell, 1968;Howard & Sheth, 1969) or tourism CB models (Mathieson & Wall, 1982;Wahab, Crompton, & Rothfield, 1976) view consumers as rational decision-makers.…”

Section: Decision-makingmentioning

confidence: 99%

“…The offspring of this school of thought, whether the grand models of CB (Engel, Kollat, & Blackwell, 1968;Howard & Sheth, 1969) or tourism CB models (Mathieson & Wall, 1982;Wahab, Crompton, & Rothfield, 1976) view consumers as rational decision-makers. One of the main assumptions of these models is that decisions are thought to follow a sequence from attitude to intention to behaviour (Decrop, 2010;Decrop & Snelders, 2004). CB research in tourism continues to be marked by studies underpinned by the assumption of rational decision-making.…”

Section: Decision-makingmentioning

confidence: 99%

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Consumer behaviour in tourism: Concepts, influences and opportunities

Cohen

Prayag

Moital

2013

Current Issues in Tourism

568

333

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Although consumer behaviour (CB) is one of the most researched areas in the field of tourism, few extensive reviews of the body of knowledge in this area exist. This review article examines what we argue are the key concepts, external influences and opportune research contexts in contemporary tourism CB research. Using a narrative review, we examine the CB literature published in three major tourism journals from 2000 to 2012. Of 519 articles identified and reviewed, 191 are included in this article. We examine the development of and scope for future research on nine key concepts, including decision-making, values, motivations, self-concept and personality, expectations, attitudes, perceptions, satisfaction, trust and loyalty. We then examine three important external influences on tourism behaviour, technology, Generation Y and the rise in concern over ethical consumption. Finally, we identify and discuss five research contexts that represent major areas for future scholarship: group and joint decision-making, under-researched segments, cross-cultural issues in emerging markets, emotions and consumer misbehaviour. Our examination of key research gaps is concluded by arguing that the hedonic and affective aspects of CB research in tourism must be brought to bear on the wider CB and marketing literature.Keywords: consumption; travel; behaviour; marketing; research agenda Introduction Consumer behaviour (CB) involves certain decisions, activities, ideas or experiences that satisfy consumer needs and wants (Solomon, 1996). It is 'concerned with all activities directly involved in obtaining, consuming and disposing of products and services, including the decision processes that precede and follow these actions' (Engel, Blackwell, & Miniard, 1995, p. 4). CB remains one of the most researched areas in the marketing and tourism fields, with the terms 'travel behaviour' or 'tourist behaviour' typically used to describe this area of inquiry. Few comprehensive reviews of the literature on CB concepts and models exist in the field of tourism. Exceptions include Moutinho (1993) who reviews the social and psychological influences on individual travel behaviour with the aim of developing a model of tourist behaviour and Dimanche and Havitz (1995) Tourism, 2014 Vol. 17, No. 10, 872 -909, http://dx.doi.org/10.1080/13683500.2013 four concepts (ego-involvement, loyalty and commitment, family decision-making and novelty-seeking) in an attempt to methodologically advance CB in tourism studies.A lack of comprehensive reviews is not only due to the extensive breadth of the topic area itself, but also because travel behaviour is generally considered as a continuous process that includes varied yet inter-correlated stages and concepts that cannot always be analysed separately (Mill & Morrison, 2002). Tourism researchers have reviewed individual concepts (e.g. Riley, Niininen, Szivas, & Willis, 2001, on loyalty), specific influences (e.g. Moutinho, 1993, on social influences on CB), and particular research contexts (e.g. Hong, Lee, L...

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Section: Decision-makingmentioning

confidence: 99%

Section: Decision-makingmentioning

confidence: 99%

Section: Decision-makingmentioning

confidence: 99%

Section: Decision-makingmentioning

confidence: 99%

See 2 more Smart Citations

Consumer behaviour in tourism: Concepts, influences and opportunities

Cohen

Prayag

Moital

2013

Current Issues in Tourism

568

333

View full text Add to dashboard Cite

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“…Therefore, the initial generic decision (to take a vacation) is often the most crucial aspect of the decision process. Indeed, as Decrop and Snelders (2004) point out, the generic decision does not always follow a rational decision making sequence. For example, people sometimes have an idea to take a trip, check out alternatives, select the one they want, but may still not have made the generic decision to go.…”

Section: Towards a New Model For The City Break Decisionmentioning

confidence: 99%

Towards a decision making model for city break travel

Dunne¹,

Flanagan²,

Buckley

2011

Int J Culture Tourism Hosp Res

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PurposeThe purpose of this paper is to examine the city break travel decision, and in particular, to develop a decision making model that reflects the characteristics of this type of trip taking.Design/methodology/approachThe research follows a sequential mixed methods approach consisting of two phases. Phase One involves a quantitative survey of 1,000 visitors to Dublin. The research distinguishes and compares city break and non‐city break visitor cohorts. Phase Two entails a qualitative analysis (involving 40 in‐depth interviews) that specifically examines the decision making behavior of city break visitors.FindingsThe research shows city break trips to be relatively inexpensive, uncomplicated, and discretionary in nature. The city break travel decision emerges from quite distinct motives where situational factors proved particularly influential. The decision process mostly entailed low involvement / limited problem solving behavior with strong internet usage evident throughout.Originality/valueThe findings show that many traditional decision making models have problems incorporating contemporary travel decisions such as city breaks. This is because such models generally fail to recognize a non‐systematic approach to decision making, where travelers do not necessarily undertake the process in distinctive stages, and where emotional elements are as relevant as functional ones. This study supports the need for a range of models that are reflective of the differences that exist in travel decision making – models that can distinguish the specific nuances and characteristics of particular decision situations.

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Length of Stay: Price and Income Semi‐Elasticities at Different Destinations in Italy

Salmasi

Celidoni

Procidano

2012

Journal of Tourism Research

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In this paper, we estimate price and income semi-elasticities of the length of stay at different destinations in Italy using the 'Multipurpose survey on tourism demand, holidays and trips' provided by the Italian National Institute of Statistics (ISTAT). We derive the conditional demand function for the length of stay, which depends on tourists' socio-demographic characteristics, travel characteristics, income and price of touristic services. Since income was not reported in our database, we use the propensity score matching to retrieve this information from the 'Survey on household income and wealth (SHIW)', and we use quantile regression to account for the multimodality of the length of stay.

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Planning the summer vacation

Cited by 202 publications

References 27 publications

Consumer behaviour in tourism: Concepts, influences and opportunities

Consumer behaviour in tourism: Concepts, influences and opportunities

Towards a decision making model for city break travel

Length of Stay: Price and Income Semi‐Elasticities at Different Destinations in Italy

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