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Information source usage among motive-based segments of travelers to newly emerging tourist destinations

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  • Dey, Banasree
  • Sarma, Mrinmoy K.

Abstract

As a part of their travel planning, potential tourists engage in information search that assists them in decision-making. Though several studies have been conducted in relation to information sources, yet, much of these seem to be in relation to relatively well-known destinations. This note primarily aims at reporting the use of information sources among various motivation-based segments of travelers to the newly emerging tourist destinations of India's North-East. This is a region with tremendous tourism potential that has not been aggressively marketed so far. Analysis of primary data through a survey of visitors to the region using a factor-cluster segmentation approach resulted in three motive-based segments: Nature-loving Explorers, Nature-loving Vacationers and Change Seekers. These segments were found to exhibit differences in information source usage. The results hold implications for destination marketers of the region and would hopefully contribute towards better marketing strategies for its various destinations.

Suggested Citation

  • Dey, Banasree & Sarma, Mrinmoy K., 2010. "Information source usage among motive-based segments of travelers to newly emerging tourist destinations," Tourism Management, Elsevier, vol. 31(3), pages 341-344.
  • Handle: RePEc:eee:touman:v:31:y:2010:i:3:p:341-344
    DOI: 10.1016/j.tourman.2009.03.015
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    References listed on IDEAS

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    1. John R. Presley & Geoffrey E. J. Dennis, 1976. "Summary and Conclusions," Palgrave Macmillan Books, in: Currency Areas, chapter 4, pages 98-102, Palgrave Macmillan.
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    Cited by:

    1. Desa Karamehmedovic, 2019. "Cultural Tourists And The Sources Of Information," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 28(2), pages 533-552, december.
    2. Yuhao Liu & Yunseon Choe, 2023. "Motivation-Based Segmentation of Tourist Shoppers to Hainan During COVID-19," SAGE Open, , vol. 13(3), pages 21582440231, September.
    3. Tomczyk, Arkadiusz T. & Buhalis, Dimitrios & Fan, Daisy X.F. & Williams, Nigel L., 2022. "Price-personalization: Customer typology based on hospitality business," Journal of Business Research, Elsevier, vol. 147(C), pages 462-476.
    4. Yu, Xiaojuan & Xu, Honggang, 2016. "Ancient poetry in contemporary Chinese tourism," Tourism Management, Elsevier, vol. 54(C), pages 393-403.
    5. Hee-Sun Cho & Byungseol Byun & Sunmi Shin, 2014. "An Examination of the Relationship between Rural Tourists’ Satisfaction, Revisitation and Information Preferences: A Korean Case Study," Sustainability, MDPI, vol. 6(9), pages 1-19, September.
    6. Coromina, Lluís & Camprubí, Raquel, 2016. "Analysis of tourism information sources using a Mokken Scale perspective," Tourism Management, Elsevier, vol. 56(C), pages 75-84.
    7. Mohammad Reza Hamidizadeh & Manizheh Gharah Cheh & Akram Hadizadeh Moghadam & Sirous Salimipour, 2016. "Proposing a Model of the Effect of Word of Mouth on Destination Image of Tourists and Travel Intention," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 6(2), pages 108-119, February.
    8. Tiantian (Tiana) Shi & Xiaoming (Rose) Liu & Jun (Justin) Li, 2018. "Market Segmentation by Travel Motivations under a Transforming Economy: Evidence from the Monte Carlo of the Orient," Sustainability, MDPI, vol. 10(10), pages 1-11, September.

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