Prioritizing destination attributes for optimal resource allocation: a study of Chinese tourists visiting Britain

Lin, Zhibin; Vlachos, Ilias; Ollier, Joseph

doi:10.1080/10548408.2018.1468854

Cited by 9 publications

(7 citation statements)

References 52 publications

(102 reference statements)

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“…Many destination image studies have analysed cognitive perceptions focusing on the tangible characteristics of a destination (Beerli & Martin, 2004a, 2004bLin et al, 2018;Pearce, 1982). It is recommended that measurement of destination image be made geographically by considering tourism types, products, and service characteristics of a destination (Rakic & Chambers, 2012).…”

Section: Discussionmentioning

confidence: 99%

“…Crompton's description of the overall image (1977) -arranged representations of a destination in a cognitive system -indicates the importance of cognitive components. Many destination image studies have analysed cognitive perceptions focusing on the concrete attributes of a destination (Agapito et al, 2013;Beerli & Martin, 2004a, 2004bGartner, 1989;Lin et al, 2018;Pearce, 1982;Pike, 2002;Stylidis et al, 2017;Stylos et al, 2016Stylos et al, , 2017. In the reviewed literature, cognitive destination image attributes are grouped into five factors: natural resources, general and tourism infrastructure, economic and political elements, tourist attraction, and social environment (Beerli & Martin, 2004;Stylos et al, 2016Stylos et al, , 2017Stylidis et al, 2017), and these attributes differ according to destination and tourism type (Beerli & Martin, 2004;Smith et al, 2015;Stylidis et al, 2017;Stylos et al, 2016Stylos et al, , 2017.…”

Section: Cognitive Attributes Affecting Destination Image Perceptionmentioning

confidence: 99%

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The symmetric and asymmetric impacts of cognitive attitude components on overall mass tourism destination image: gender comparison

Ceylan¹,

Çızel²,

Hatice³

2021

EJTR

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Mass tourism has become the preferred travel type for millions of people. All-inclusive (AI) initially emerged as an accommodation type for mass tourism destinations but has evolved to become its own form of tourism. Factors motivating tourists towards a mass-tourism destination offering all-inclusive products may vary according to market segments and demographic attributes. Research shows that cognitive factors that affect a destination’s image, which is one factor that attracts tourists, are not symmetrical in all cases. This study examines the effect of cognitive attitude components on the general destination image perception of tourists by using Asymmetric Impact-Performance Analysis (AIPA) to assess Antalya, a prominent AI mass-tourism destination. Regression analysis results provide important insights for destination management organisations (DMO) by classifying the asymmetric effects of each destination’s cognitive attitude component on overall destination image perception, according to gender.

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Section: Discussionmentioning

confidence: 99%

Section: Cognitive Attributes Affecting Destination Image Perceptionmentioning

confidence: 99%

The symmetric and asymmetric impacts of cognitive attitude components on overall mass tourism destination image: gender comparison

Ceylan¹,

Çızel²,

Hatice³

2021

EJTR

View full text Add to dashboard Cite

show abstract

“…The literature review by Pike (2002), of destination image articles, reveals that 6 of the 142 published destination image papers showed an explicit interest in affective images, whereas cognitive image is a widely accepted, solid destination measurement base. The majority of destination image studies have analyzed cognitive perceptions by focusing on tangible attributes of destinations (Pearce, 1977(Pearce, , 1982Gartner, 1989;Pike, 2002;Beerli and Mart ın, 2004a;Lee and Lee, 2009;Agapito et al, 2013;Zhang et al, 2014;Stylos et al, 2016Stylos et al, , 2017Stylidis et al, 2017;Lin et al, 2018).…”

Section: Cognitive Factors Affecting Destination Image Perceptionmentioning

confidence: 99%

Cross-nationality importance performance analysis of Middle East all-inclusive mass tourism destination image

Ceylan

Çızel

Karakaş

2020

JHTI

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PurposeThe paper aims to analyze cognitive attributes affecting the overall destination image perception of British, German and Russian tourists toward Antalya, a well-positioned mass tourism destination in the East Mediterranean region dominated by an all-inclusive (AI) system.Design/methodology/approachThe paper is an empirical study using a structured questionnaire conducted in the summer of 2018 with 274 British, 179 German and 231 Russian tourists departing to their respective source markets from Antalya International Airport. The mean values are used as performance and correlation coefficients of the relationship between each cognitive image dimension and overall image evaluation is used to express importance.FindingsThe paper provides empirical insights that these three nationalities prefer Antalya as an AI holiday destination for different reasons and that each nationality demands attention to different factors of the destination for improvement or preservation.Research limitations/implicationsThis study provides specific recommendations for AI destinations such as Antalya for the German, British and Russian source markets. When other source markets or types of destinations are considered, the findings of this study should be re-considered. Utilization of the original and modernized importance performance analysis (IPA) plot interpretations in this research reveals a deeper understanding of current findings and provides a new perspective for further research and guidance for destination managers and marketers.Practical implicationsUtilization of both original and modernized IPA plot interpretation in this research not only reveals a deeper understanding of current findings but also provides a new perspective for future studies and guidance for destination managers and marketers.Originality/valueUnlike the majority of destination image research, this study of destination image based on individual nationalities enables tailor-made destination image development according to diversified importance and performance of destination attributes affecting the overall destination image for each nationality.

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“…In this paper, we study the data transmission network without relay nodes. Unlike the article, this paper does not focus on the buffers of source nodes being full or not full but considers the packets being transmitted to be classified [9]. At this point, when there are multiple types of packets in the buffer of the source node, the probability of different kinds of packets being transmitted is different.…”

Section: Introductionmentioning

confidence: 99%

Marketing Resource Allocation Strategy Optimization Based on Dynamic Game Model

Zhao

2022

Journal of Mathematics

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Game theory has become an important tool to study the competition between oligopolistic enterprises. After combing the existing literature, it is found that there is no research combining two-stage game and nonlinear dynamics to analyze the competition between enterprises for advertising. Therefore, this paper establishes a two-stage game model to discuss the effect of the degree of firms’ advertising input on their profits. And the complexity of the system is analyzed using nonlinear dynamics. This paper analyzes and studies the dynamic game for two types of application network models: data transmission model and transportation network model. Under the time-gap ALOHA protocol, the noncooperative behavior of the insiders in the dynamic data transmission stochastic game is examined as well as the cooperative behavior. In this paper, the existence of Nash equilibrium and its solution algorithm are proved in the noncooperative case, and the “subgame consistency” of the cooperative solution (Shapley value) is discussed in the cooperative case, and the cooperative solution satisfying the subgame consistency is obtained by constructing the “allocation compensation procedure.” The cooperative solution is obtained by constructing the “allocation compensation procedure” to satisfy the subgame consistency. In this paper, we propose to classify the packets transmitted by the source nodes, and by changing the strategy of the source nodes at the states with different kinds of packets, we find that the equilibrium payment of the insider increases in the noncooperative game with the addition of the “wait” strategy. In the transportation dynamic network model, the problem of passenger flow distribution and the selection of service parameters of transportation companies are also studied, and a two-stage game theoretical model is proposed to solve the equilibrium price and optimal parameters under Wardrop’s criterion.

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Prioritizing destination attributes for optimal resource allocation: a study of Chinese tourists visiting Britain

Cited by 9 publications

References 52 publications

The symmetric and asymmetric impacts of cognitive attitude components on overall mass tourism destination image: gender comparison

The symmetric and asymmetric impacts of cognitive attitude components on overall mass tourism destination image: gender comparison

Cross-nationality importance performance analysis of Middle East all-inclusive mass tourism destination image

Marketing Resource Allocation Strategy Optimization Based on Dynamic Game Model

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