Trends in Tourism, Shopping, and Retailing

Timothy, Dallen J.

doi:10.1002/9781118474648.ch30

Cited by 20 publications

(14 citation statements)

References 56 publications

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“…Shopping Tourism Attributes UNWTO (2014, p. 13) defines shopping tourism as "a contemporary form of tourism fostered by individuals for whom purchasing goods outside of their usual environment is a determining factor in their decision to travel." This definition is consistent with the shopping tourism literature that shopping is a major travel motivation (Choi, Heo, and Law 2016b) and is treated as an irresistible attraction (Timothy 2014). This motivation leads tourists to allocate high portion of the total travel expenditure to shopping activities (Albayrak, Caber, and Cömen 2016), thus shopping tourism is recognized as a rapidly growing tourism sector (Sharma, Chen, and Luk 2018).…”

Section: Literature Reviewsupporting

confidence: 68%

Examining the Asymmetric Effect of Multi-Shopping Tourism Attributes on Overall Shopping Destination Satisfaction

Lee

Choi

2019

Journal of Travel Research

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Based on impact range performance analysis and impact asymmetry analysis, this study aims to (1) examine the asymmetric effect of shopping tourism attributes on shopping destination satisfaction from the perspective of Chinese tourists and (2) prioritize attributes by identifying them as frustrators, dissatisfiers, hybrids, satisfiers, and delighters. The asymmetric relationships between shopping tourism attributes and shopping destination satisfaction offer an expanded view of the dynamic effects of attributes, while destination-specific attributes allow the researchers to examine the unexplored roles of government promotions and Korean pop culture/media in shopping tourism.

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Section: Literature Reviewsupporting

confidence: 68%

Examining the Asymmetric Effect of Multi-Shopping Tourism Attributes on Overall Shopping Destination Satisfaction

Lee

Choi

2019

Journal of Travel Research

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“…A more in-depth analysis should be conducted to identify different studies that have led to different results while analyzing tourists' behavior. Moreover, past studies have highlighted variables such as the location of the accommodation (Zoltan & McKercher, 2015) or the price of the attractions (Timothy, 2014) as key variables to explain why a specific group of tourists is more likely to visit a certain set of attractions than others. Despite the large number of variables used in the current research, many other variables could have been used to understand why the attractions analyzed are visited.…”

Section: Resultsmentioning

confidence: 99%

Why do tourists differ in their likelihood to visit attractions? The case of Lanzarote

Padrón‐Ávila

Martín

2019

Journal of Tourism Research

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In this paper, more than 35,000 survey responses given by tourists from 2010 and 2016 are used to explain visits to tourism attractions in Lanzarote. In the survey, tourists are asked about a wide set of variables. Among these, there is a question regarding the attractions visited during their trip. With these data, it has been possible to carry out a discrete choice model analysis to establish the variables that explain why certain tourists are more prone to visit attractions than others. This study is relevant to understand tourists' mobility patterns and behavior. It also has implications for marketing managers and tourism product developers.

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“…Furthermore, nowadays shopping has been considered as one of the important tourist activities as it constitutes an important portion of tourism expenditures [96]. Considering the fact that tourists expect better conditions for shopping, shopping malls represent an important determinant of tourism images of cities [97,98]. In this respect, the tourism potential was determined as another criterion for evaluating location alternatives.…”

Section: Solution To the Problem Of Location Selection By The Fuzzy Tmentioning

confidence: 99%

A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey

Erdin

Akbaş

2019

Sustainability

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Multi-criteria decision-making (MCDM) techniques are increasingly being used for the problem of location selection, which directly affects the long-term success of a company. Besides these techniques, with the advantage of handling both spatial and non-spatial data, geographic information systems (GIS) also represent a useful method for selecting the appropriate location for different kinds of facilities and sites. In this respect, this study aims to compare the results of a MCDM technique, fuzzy technique for order preference by similarity to ideal solution (TOPSIS), and GIS for the location selection of shopping malls in Turkey. According to the results of both fuzzy TOPSIS and GIS, the Marmara region was determined as the best alternative for shopping malls in Turkey.Sustainability 2019, 11, 3837 2 of 22 sense, it can be easily said that location selection represents a typical multi-criteria decision-making (MCDM) problem [3][4][5][9][10][11].As an advanced and a widely used subdiscipline of operations research, MCDM basically represents a decision-making technique that can be used to evaluate a number of alternatives by taking into account multiple and usually conflicting criteria that may be quantitative or qualitative, and aims to provide support to the decision maker for making the choice between alternatives [9,[12][13][14]. In this framework, MCDM can be defined as the process of evaluating alternatives for the purpose of selection or ranking via utilizing a number of qualitative and/or quantitative criteria that have different measurement units [15].MCDM involves a set of techniques such as min-max, max-min, ELECTRE, PROMETHEE, TOPSIS, fuzzy TOPSIS, compromise programming, analytic hierarchy process (AHP), fuzzy AHP, data envelopment analysis, and goal programming, that can be used for comparing and prioritizing multiple alternatives and finally selecting the best-fit choice [16]. Among these techniques, for the solutions to location problems that contain vague and incomplete data and linguistic variables, fuzzy decision-making techniques have been attracting growing attention [12,17].On the other hand, it should be stated that these techniques are not suitable for spatial data [18]. In this context, with the advantage of handling both spatial and non-spatial data, geographic information systems (GIS) have been applied for solving location problems [18][19][20]. GIS represent computer-based tools that can be used for maintaining, managing, integrating and analyzing spatial data from different sources. GIS allow us to store, edit, manipulate and analyze geographically referenced data to generate interpretive maps and related statistics relevant for decision making [11,14,21]. In this sense, one could say that although MCDM and GIS have developed independently, they actually support one another and their combination generates more useful and reliable information that makes it possible to reach accurate decisions, especially in the case of location selection [11,14,22].Starting from this point of view, thi...

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Trends in Tourism, Shopping, and Retailing

Cited by 20 publications

References 56 publications

Examining the Asymmetric Effect of Multi-Shopping Tourism Attributes on Overall Shopping Destination Satisfaction

Examining the Asymmetric Effect of Multi-Shopping Tourism Attributes on Overall Shopping Destination Satisfaction

Why do tourists differ in their likelihood to visit attractions? The case of Lanzarote

A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey

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