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Predictors of Hotel Clients’ Satisfaction in the Cape Verde Islands

Author

Listed:
  • Ariana Furtado

    (Instituto Politécnico de Coimbra, ESTGOH, Rua General Santos Costa, 3400-124 Oliveira do Hospital, Portugal)

  • Ricardo F. Ramos

    (Instituto Politécnico de Coimbra, ESTGOH, Rua General Santos Costa, 3400-124 Oliveira do Hospital, Portugal
    ISTAR, Instituto Universitário de Lisboa (ISCTE-IUL), Av. Forças Armadas, 1649-026 Lisboa, Portugal
    Centro de Investigação em Ciências Económicas e Empresariais (CICEE), Universidade Autónoma de Lisboa (UAL), Rua de Santa Marta 47, 1150-293 Lisboa, Portugal)

  • Bruno Maia

    (Centro de Investigação em Ciências Económicas e Empresariais (CICEE), Universidade Autónoma de Lisboa (UAL), Rua de Santa Marta 47, 1150-293 Lisboa, Portugal)

  • Joana Martinho Costa

    (ISTAR, Instituto Universitário de Lisboa (ISCTE-IUL), Av. Forças Armadas, 1649-026 Lisboa, Portugal)

Abstract

Tourism has been fundamental for countries’ economic development, and Africa is the destination with the biggest tourism growth potential. Using 1414 travelers’ online reviews collected from TripAdvisor, the present work aims to understand which variables predict the satisfaction of Cape Verde’s hotel clients. Satisfaction was analyzed using sentiment analysis and ANOVA to predict the effect of the gathered variables on clients’ satisfaction. Results indicate that 90% of the clients revealed positive satisfaction and that nationality, date of stay, and previous traveler experiences affect satisfaction. Contrarily to our predictions, there is no statistically significant evidence that gender influences satisfaction. The findings of this study will help hotel marketing managers to align their strategies accordingly and meet their clients’ expectations.

Suggested Citation

  • Ariana Furtado & Ricardo F. Ramos & Bruno Maia & Joana Martinho Costa, 2022. "Predictors of Hotel Clients’ Satisfaction in the Cape Verde Islands," Sustainability, MDPI, vol. 14(5), pages 1-13, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2677-:d:758228
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    References listed on IDEAS

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    1. Ayeh, Julian K. & Au, Norman & Law, Rob, 2013. "Predicting the intention to use consumer-generated media for travel planning," Tourism Management, Elsevier, vol. 35(C), pages 132-143.
    2. repec:dau:papers:123456789/11316 is not listed on IDEAS
    3. Fang, Bin & Ye, Qiang & Kucukusta, Deniz & Law, Rob, 2016. "Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics," Tourism Management, Elsevier, vol. 52(C), pages 498-506.
    4. Miao-Que Lin & Li-Shia Huang & Yi-Fang Chiang, 2008. "The moderating effects of gender roles on service emotional contagion," The Service Industries Journal, Taylor & Francis Journals, vol. 28(6), pages 755-767, July.
    5. Guillaume D. Johnson & Sonya A. Grier, 2013. "Understanding the influence of cross-cultural Consumer-to-Consumer Interaction on consumer service satisfaction," Post-Print hal-01655302, HAL.
    6. Cristina Oliveira & Paulo Rita & Sérgio Moro, 2021. "Unveiling Island Tourism in Cape Verde through Online Reviews," Sustainability, MDPI, vol. 13(15), pages 1-14, July.
    7. Widerstedt, Barbro & Månsson, Jonas & Rosdahl, Jonatan, 2018. "A warm welcome? Access to advisory services for men and women," Economic Analysis and Policy, Elsevier, vol. 58(C), pages 100-110.
    8. Johnson, Guillaume D. & Grier, Sonya A., 2013. "Understanding the influence of cross-cultural Consumer-to-Consumer Interaction on consumer service satisfaction," Journal of Business Research, Elsevier, vol. 66(3), pages 306-313.
    9. George Kofi Amoako, 2022. "Customer Satisfaction: Role of Customer Service, Innovation, and Price in the Laundry Industry in Ghana," Journal of African Business, Taylor & Francis Journals, vol. 23(1), pages 146-164, January.
    10. Yae-Ji Kim & Hak-Seon Kim, 2022. "The Impact of Hotel Customer Experience on Customer Satisfaction through Online Reviews," Sustainability, MDPI, vol. 14(2), pages 1-13, January.
    11. Pantouvakis, Angelos & Renzi, Maria Francesca, 2016. "Exploring different nationality perceptions of airport service quality," Journal of Air Transport Management, Elsevier, vol. 52(C), pages 90-98.
    12. Charles Makanyeza & Rudo Macheyo & Francois du Toit, 2016. "Perceived product necessity, perceived value, customer satisfaction and affective attitude: an integrative model," Journal of African Business, Taylor & Francis Journals, vol. 17(1), pages 69-86, January.
    13. Park, Sangwon & Nicolau, Juan L., 2015. "Asymmetric effects of online consumer reviews," Annals of Tourism Research, Elsevier, vol. 50(C), pages 67-83.
    14. Haywantee Ramkissoon, 2015. "Authenticity, satisfaction, and place attachment: A conceptual framework for cultural tourism in African island economies," Development Southern Africa, Taylor & Francis Journals, vol. 32(3), pages 292-302, May.
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    Cited by:

    1. Yong Ma & Hang Li & Yun Tong, 2022. "Distribution Differentiation and Influencing Factors of the High-Quality Development of the Hotel Industry from the Perspective of Customer Satisfaction: A Case Study of Sanya," Sustainability, MDPI, vol. 14(11), pages 1-20, May.
    2. Pereira, Francisco & Costa, Joana Martinho & Ramos, Ricardo & Raimundo, António, 2023. "The impact of the COVID-19 pandemic on airlines’ passenger satisfaction," Journal of Air Transport Management, Elsevier, vol. 112(C).

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