Development of an Evaluation Scale for Inter-Country Tourism Industry Competitiveness using the Delphi Technique and Analytic Hierarchy Process

Oh, Moonhyang; Kim, Seongseop; Lee, Aejoo

doi:10.1080/15980634.2013.11434671

Cited by 10 publications

(10 citation statements)

References 3 publications

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“…Even though there being many alternatives can offer easiness to select, this can lead to concerns about competitiveness on the supply side. Since a destination's attractiveness is essential to its competitiveness, it is widely accepted that competitiveness is of central importance to the economic success of organizations, regions, and countries (Crouch & Ritchie, ; Dwyer & Kim, ; Dwyer et al, ; Kozak & Baloglu, ; Oh et al, ). Destination marketers put great effort into preparing strategies and operating procedures that will give them a competitive advantage over their rivals.…”

Section: Destination Competitiveness Choice Setmentioning

confidence: 99%

“…A large number of empirical studies of destination competitiveness have been conducted in three streams. First, some studies have focused on the measurement of destination competitiveness through the evaluation of resources or attractions on the supply side (Briguglio & Vella, 1995;Crouch & Ritchie, 1999;Dwyer, Forsyth, & Rao, 2000;Dwyer & Kim, 2003;Enright & Newton, 2005;Gomezelj & Mihalic, 2008;Oh, Kim, & Lee, 2013;Yoon, 2002). Second, other previous studies have focused on tourists' perceptions of the ability of destinations to offer products or services (Cracolici & Nijkamp, 2008;Javalgi, Thomas, & Rao, 1992;Kozak, Baloglu, & Bahar, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Competitiveness of overseas pleasure destinations: A comparison study based on choice sets

Kozak

Kim

Chon

2017

Journal of Tourism Research

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This study investigates the competitiveness of overseas destinations as perceived by leisure tourists from mainland China, with a focus on how the competitiveness of destinations varies by choice set. The results of this study confirm the funnel‐down structure of consumer choice sets including the early choice set, the middle choice set, and the late choice set: The size of these sets became progressively smaller as the moment for making the final decision drew nearer. In addition, the results clearly indicate that travel distance is an important determinant of tourism demand: Short‐haul destinations are more competitive than long‐haul destinations.

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Section: Destination Competitiveness Choice Setmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Competitiveness of overseas pleasure destinations: A comparison study based on choice sets

Kozak

Kim

Chon

2017

Journal of Tourism Research

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“…Resolving the numerous elements in the hierarchy enables decision makers to concentrate on the most critical topics (Cheng, Li, & Ho, 2002). AHP has been growingly used in hospitality and tourism studies of destination competitiveness (Crouch, 2005(Crouch, , 2010Crouch & Ritchie, 2005;Hong, 2009;Lee & King, 2010;M. Oh, Kim, & Lee, 2013); website evaluation (Tsai, Chou, & Lai, 2010); destination development and attractiveness (Fabac & Zver, 2011;Lee, Huang, & Yeh, 2010); and tourism promotional effectiveness (Lai & Vinh, 2013).…”

Section: Placement Of Crosshairsmentioning

confidence: 99%

“…CDPA is a combination and an effective use of IPA, AHP, and ADA techniques. AHP (e.g., Crouch, 2005Crouch, , 2010Crouch & Ritchie, 2005;Hong, 2009;Lee & King, 2010;M. Oh et al, 2013) and IPA (e.g., Dwyer et al, 2012;Enright & Newton, 2004;Taplin, 2012a;Tontini & Silveria, 2007) are two important approaches used widely in TDC.…”

Section: Placement Of Crosshairsmentioning

confidence: 99%

Competitive Determinance–performance Analysis: An Illustration on Turkish Winter Tourism Destinations

Erbaş¹

2016

Tourism Analysis

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Importance–Performance Analysis (IPA) is accepted as a simple and substantial technique that enables decision makers in prioritizing the competitiveness needs of tourism destinations over and above enhancing products and services in general. Unfortunately, the prioritization based on only importance could be misleading when the competitiveness analysis included in IPA. To resolve this issue, a revised IPA, namely Competitive Determinance–Performance Analysis (CDPA), which is a combination of Attribute–Determinance Analysis (ADA), Analytic Hierarchy Process (AHP), and IPA is presented. A Turkish winter sports destination case is presented to illustrate the implementation of the proposed CDPA. The results of this case study illustrate reliable and precise action directions using CDPA, which empowers destination decision makers to gain a competitive advantage compared to their competitors. CDPA is appropriate not only for tourism but also for other areas of management or marketing of a product or service.

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“…Among the more recent contributions, Mika (2012) proposed a competitiveness model in which the overall image of a destination based on tourist opinions forms part of the first stage in the evaluation of the destination's state of development. Oh, Kim, and Lee (2013) developed a model and a scale for evaluating the intercountry competitiveness of tourism destinations that includes the reputation of tourism companies, the brand image of tourism products, and the national brand competitiveness among the sources of destination competitiveness.…”

Section: Image Of Destinations and Online Reputation: The Emergence Omentioning

confidence: 99%

Online Reputation and Destination Competitiveness: The Case of Spain

Perles‐Ribes¹,

Rodríguez²,

Moreno‐Izquierdo³

et al. 2019

Tourism Analysis

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a conceptual model in which promotion (including reputation), branding, and pricing constitute drivers of destination competitiveness. A positive reputation enhances the competitiveness of a destination, favoring its attractiveness and therefore the potential demand to visit it (Komsic & Dorcic, 2016). Consequently, tourist destinations dedicate a considerable amount of resources to improve their image (Hong, 2009) and, in this context, many destination management organizations (DMOs) are making a considerable effort to establish the destination's online reputation by monitoring electronic-wordof-mouth (eWOM) on social media sites (Zach, Marchiori, & Cantoni, 2012).

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Development of an Evaluation Scale for Inter-Country Tourism Industry Competitiveness using the Delphi Technique and Analytic Hierarchy Process

Cited by 10 publications

References 3 publications

Competitiveness of overseas pleasure destinations: A comparison study based on choice sets

Competitiveness of overseas pleasure destinations: A comparison study based on choice sets

Competitive Determinance–performance Analysis: An Illustration on Turkish Winter Tourism Destinations

Online Reputation and Destination Competitiveness: The Case of Spain

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