IDEAS home Printed from https://ideas.repec.org/a/ibn/ibrjnl/v10y2017i1p153-162.html
   My bibliography  Save this article

Study of the Social and Cultural Aspects of Saudi Tourists and Evaluate the Services Provided to Tourist of Saudi - An Applied Study for the Tourism Sector in the Kingdom of Saudi Arabia

Author

Listed:
  • Amal Mohammed Sheikh Damanhouri

Abstract

The current study is based on the tourism sector in Saudi Arabia. Kingdom’s tourism industry earnings from international travelers and tourism services are poised to hit SAR80 billion in 2015. The tourism industry in Saudi Arabia has witnessed an increasing level of growth in recent years and is seen to continue this trend moving forward. The industry has undergone a major transformation led by the commitment to upgrade the Kingdom’s infrastructure as well as improving its hospitality sector. Religious tourism is the main attraction for inbound tourists and will continue to be so for the foreseeable future, the government has taken steps to increase domestic tourism and persuade potential outbound tourists from vacationing abroad. However, large investment in the sector is required to bring these ambitious plans to fruition. The tourism sector comprises only 2% of government funding compared to the industrial sector. In this report random sampling was used as it is the best known form of probability sample. Pilot study was conducted by taking convenience sampling. To find the quantitative analysis SPSS 18.0 software is used. In this report factor analysis is used for the reliability test of the questionnaire. Chi-Square test is used for comparing the collected data with the desired data from the certain hypothesis on the other hand Pearson Correlation is used to measure means of a statistical test. The study evaluates the services provided to the tourist visiting the kingdom and at the same time it measures the satisfaction level of the tourists. The report is based on primary and secondary data for the primary data the questionnaire was used and being distributed to the tourists visiting the kingdom. Five hypothesis was proposed and are being analyzed using Chi – Square test and correlation test. The current study states that there are several variables, where excellent satisfaction is being rated by the tourists where as there are several factors where the authority needs to pay importance, which is mentioned in detail in this report. The outcome of this report also suggests some major policy recommendation by which convenience, excellence and comfort could be given to the tourists visiting the kingdom.

Suggested Citation

  • Amal Mohammed Sheikh Damanhouri, 2017. "Study of the Social and Cultural Aspects of Saudi Tourists and Evaluate the Services Provided to Tourist of Saudi - An Applied Study for the Tourism Sector in the Kingdom of Saudi Arabia," International Business Research, Canadian Center of Science and Education, vol. 10(1), pages 153-162, January.
    • Handle: RePEc:ibn:ibrjnl:v:10:y:2017:i:1:p:153-162
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ibr/article/view/65144/35310
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/ibr/article/view/65144
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Massidda, Carla & Etzo, Ivan, 2012. "The determinants of Italian domestic tourism: A panel data analysis," Tourism Management, Elsevier, vol. 33(3), pages 603-610.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Piotr Kulyk & Agnieszka Brelik, 2019. "Tourist Competitiveness of Polish Rural Areas," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 379-387.
    2. Marrocu, Emanuela & Paci, Raffaele, 2013. "Different tourists to different destinations. Evidence from spatial interaction models," Tourism Management, Elsevier, vol. 39(C), pages 71-83.
    3. David Boto‐García & Antonio Alvarez & José Baños, 2021. "Modelling heterogeneous preferences for nature‐based tourism trips," Papers in Regional Science, Wiley Blackwell, vol. 100(6), pages 1625-1653, December.
    4. Karol Jan Borowiecki & Concetta Castiglione, 2014. "Cultural Participation and Tourism Flows: An Empirical Investigation of Italian Provinces," Tourism Economics, , vol. 20(2), pages 241-262, April.
    5. Nava, Consuelo R. & Osti, Linda & Zoia, Maria Grazia, 2022. "Forecasting Domestic Tourism across Regional Destinations through MIDAS Regressions," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202207, University of Turin.
    6. Roberto Patuelli & Maurizio Mussoni & Guido Candela, 2014. "Cultural offer and distance in a spatial interaction model for tourism," Economics and Business Letters, Oviedo University Press, vol. 3(2), pages 96-108.
    7. Li, Hengyun & Chen, Jason Li & Li, Gang & Goh, Carey, 2016. "Tourism and regional income inequality: Evidence from China," Annals of Tourism Research, Elsevier, vol. 58(C), pages 81-99.
    8. Omkar Joshi & Neelam C. Poudyal & Lincoln R. Larson, 2017. "The influence of sociopolitical, natural, and cultural factors on international tourism growth: a cross-country panel analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(3), pages 825-838, June.
    9. Tekleselassie, Tsegay Gebrekidan, 2016. "Three essays on the impact of institutions and policies on socio-economic outcomes," Economics PhD Theses 1316, Department of Economics, University of Sussex Business School.
    10. Marcos à lvarez-Díaz & José María Chamorro-Rivas & Manuel González-Gómez & María Soledad Otero-Giráldez, 2024. "The impact of the COVID-19 outbreak on intra- and inter-regional domestic travel: Evidence from Spain," Tourism Economics, , vol. 30(4), pages 1039-1061, June.
    11. Jaume Rosselló Nadal & María Santana Gallego, 2022. "Gravity models for tourism demand modeling: Empirical review and outlook," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1358-1409, December.
    12. Morley, Clive & Rosselló, Jaume & Santana-Gallego, Maria, 2014. "Gravity models for tourism demand: theory and use," Annals of Tourism Research, Elsevier, vol. 48(C), pages 1-10.
    13. Helena Nemec Rudez, 2018. "The Relationship between Income and Tourism Demand: Old Findings and New Research," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 11(1), pages 67-73.
    14. S. Capacci & A. E. Scorcu & L. Vici, 2014. "Eco labels and tourism flows: How much is a Blue Flag worth?," Working Papers wp917, Dipartimento Scienze Economiche, Universita' di Bologna.
    15. Capacci, Sara & Scorcu, Antonello E. & Vici, Laura, 2015. "Seaside tourism and eco-labels: The economic impact of Blue Flags," Tourism Management, Elsevier, vol. 47(C), pages 88-96.
    16. Masiero, Lorenzo & Qiu, Richard T.R., 2018. "Modeling reference experience in destination choice," Annals of Tourism Research, Elsevier, vol. 72(C), pages 58-74.
    17. Di Matteo, Dante, 2021. "Effectiveness of place-sensitive policies in tourism," Annals of Tourism Research, Elsevier, vol. 90(C).
    18. Davide Provenzano, 2020. "The migration–tourism nexus in the EU28," Tourism Economics, , vol. 26(8), pages 1374-1393, December.
    19. Liudan Wu & Lili Hao & Lingzhi Wu & Ruize Gao & Ji Chen, 2023. "Assessing the Inbound Tourism Efficiency of European Countries in China: 2006-2019," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(63), pages 625-625, April.
    20. Luca Zamparini & Anna Serena Vergori & Serena Arima, 2017. "Assessing the determinants of local tourism demand," Tourism Economics, , vol. 23(5), pages 981-992, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:ibrjnl:v:10:y:2017:i:1:p:153-162. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.