The Bells Within the Bell Curve: Destination Visitation Model Revisited

George, Babu; Henthorne, Tony L.; Williams, Alvin J.

doi:10.1080/02508281.2013.11081758

Cited by 4 publications

(1 citation statement)

References 20 publications

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“…Th e tourism area life cycle (TALC) maps the extent of development of a tourism destination as a function of time and explorer categories (George et al, 2013). Th e linkages between marketing and planning in tourism (Ketter et al, 2016) are articulated in no better terms than in the TALC model.…”

Section: Introductionmentioning

confidence: 99%

Empirically Mapping the Evolutionary Phases of Tourism Area Life Cycle (TALC)

Gore

Borde

Desai

et al. 2021

Tourism (Zagreb, Online)

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This paper aims to simulate the stages of the Tourism Area Life Cycle (TALC) in Goa, India, based on the number of tourist arrivals and tests whether the stages correspond with the stages of TALC as predicted in the theory. The graphs are plotted for total, foreign, and domestic tourists from 1962-2018. A compliance assessment of the indicators with the TALC stages is also done to ascertain the extent of development. The leading indicators of the exploration, stagnation, and decline stages are identified. The lagging indicator shows sluggish tourism planning initiatives. It is observed that the TALC differs for domestic and foreign tourists' arrivals. The study provides an important historical perspective on the pattern of growth of tourism in Goa. The pattern can further be employed as a basis to guide the process of strategy formulation.

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Section: Introductionmentioning

confidence: 99%

Empirically Mapping the Evolutionary Phases of Tourism Area Life Cycle (TALC)

Gore

Borde

Desai

et al. 2021

Tourism (Zagreb, Online)

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Past experience, traveler personality and tripographics on intention to use Airbnb

Poon

Huang

2017

IJCHM

135

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Purpose This study aims to identify the individual and trip characteristics that are associated with intention to use peer-to-peer accommodation, including past experience (users vs non-users), accommodation preferences, traveler personality and tripographic variables. Design/methodology/approach To compare Airbnb users and non-users, quantitative research was conducted to test for group differences. A questionnaire was designed and administered face-to-face in major tourist areas. Quota sampling was used to ensure comparable samples of Airbnb users and non-users. Findings While Airbnb users and non-users expressed few differences in their demographics and perceived importance of accommodation attributes, the two groups vary in their perception of Airbnb and evaluation of Airbnb compared to hotels, suggesting some positive and negative changes after experiencing Airbnb. Respondents who were more allocentric were more likely to use Airbnb. Hotels were preferred for traveling with family as well as shorter trips, while Airbnb was preferred for traveling with friends as well as longer trips. Practical implications This study identified several challenges for Airbnb and other sharing platforms, including consumers’ security concerns, potential decrease in the likelihood of repeat usage and low likelihood of using Airbnb when traveling with family. Originality/value While previous studies focused more on existing customers of peer-to-peer accommodation, this study compared users and non-users and identified key differences in their perceptions. The use of traveler personality and tripographic variables to examine intention to use Airbnb provides a unique perspective to consider Airbnb as an “allocentric destination” and the type of trips that are more compatible with the Airbnb experience.

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The Life Cycles of Destination Life Cycle Models

Sarkar

George

2017

Tourism and Opportunities for Economic Development in Asia

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Product Life Cycle (PLC) has always been a hot topic in the tourism literature. Butler's Tourism Area Lifecycle model and Plog's destination life cycle model have both been applied and analysed extensively in tourism destination development and lifecycle studies. This study attempts to offer a critical conversation on the similarities and differences as well as the strengths and weaknesses of these two widely referred generic models of destination life cycle. It also identifies some recent socio-political, economic, and technological developments that have changed the nature of tourism destination development in many parts of the world and in particular to Asia and the implications of these developments upon life cycles. Based on more recent research, the present authors suggest that the reality of destination development lies somewhere in between, as a resultant of interaction with the processes laid out by Plog and Butler.

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The Bells Within the Bell Curve: Destination Visitation Model Revisited

Cited by 4 publications

References 20 publications

Empirically Mapping the Evolutionary Phases of Tourism Area Life Cycle (TALC)

Empirically Mapping the Evolutionary Phases of Tourism Area Life Cycle (TALC)

Past experience, traveler personality and tripographics on intention to use Airbnb

The Life Cycles of Destination Life Cycle Models

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