Hotel sector have bright vision for the growth of travel and tourism industry by providing the country’s economic growth. Despite increased efforts by the beach resorts managers and Government of Kenya to make them a driving force in achieving the national economic growth, they have continued to suffer from annual seasonal fluctuations in the volume of business due to tourism seasonality each with different expectations and demands. This paper assessed seasonality and performance of star-rated beach resorts in the coastal region of Kenya. Mixed method approach was used to do a cross-sectional survey. Questionnaires and interview schedule were used to collect data. Target population comprised of managers (23) and guests (586). Managers were purposively selected while guests were randomly sampled. Descriptive and inferential statistic were used to analyse quantitative data while qualitative data was analysed thematically. Results revealed high Standard Deviation (1.27), observed in October-December and April-July (1.8) while low Standard Deviation (0.51) was observed in April Easter week and December-March (0.85). Thus, a homogeneity of the responses that April Easter week and December-March are actually peak seasons interpreting to good performance. A number of factors were perceived to cause seasonality; internationally, climatic changes and travel patterns while domestically, holidays, religious festivals, sports and trade fairs. The study recommended extensive assessment on causes, impacts and effective management strategies to smoothen performance.
| Published in | International Journal of Hospitality & Tourism Management (Volume 6, Issue 2) |
| DOI | 10.11648/j.ijhtm.20220602.12 |
| Page(s) | 31-35 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Seasonality, Performance, Star-Rated Beach Resorts, Coastal Regions
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APA Style
Kwenga Japhet, Fwaya Erick, Davis Barasa. (2022). Assessment of Seasonality on Performance of Star-Rated Beach Resorts in the Coastal Region of Kenya. International Journal of Hospitality & Tourism Management, 6(2), 31-35. https://doi.org/10.11648/j.ijhtm.20220602.12
ACS Style
Kwenga Japhet; Fwaya Erick; Davis Barasa. Assessment of Seasonality on Performance of Star-Rated Beach Resorts in the Coastal Region of Kenya. Int. J. Hosp. Tour. Manag. 2022, 6(2), 31-35. doi: 10.11648/j.ijhtm.20220602.12
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author = {Kwenga Japhet and Fwaya Erick and Davis Barasa},
title = {Assessment of Seasonality on Performance of Star-Rated Beach Resorts in the Coastal Region of Kenya},
journal = {International Journal of Hospitality & Tourism Management},
volume = {6},
number = {2},
pages = {31-35},
doi = {10.11648/j.ijhtm.20220602.12},
url = {https://doi.org/10.11648/j.ijhtm.20220602.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijhtm.20220602.12},
abstract = {Hotel sector have bright vision for the growth of travel and tourism industry by providing the country’s economic growth. Despite increased efforts by the beach resorts managers and Government of Kenya to make them a driving force in achieving the national economic growth, they have continued to suffer from annual seasonal fluctuations in the volume of business due to tourism seasonality each with different expectations and demands. This paper assessed seasonality and performance of star-rated beach resorts in the coastal region of Kenya. Mixed method approach was used to do a cross-sectional survey. Questionnaires and interview schedule were used to collect data. Target population comprised of managers (23) and guests (586). Managers were purposively selected while guests were randomly sampled. Descriptive and inferential statistic were used to analyse quantitative data while qualitative data was analysed thematically. Results revealed high Standard Deviation (1.27), observed in October-December and April-July (1.8) while low Standard Deviation (0.51) was observed in April Easter week and December-March (0.85). Thus, a homogeneity of the responses that April Easter week and December-March are actually peak seasons interpreting to good performance. A number of factors were perceived to cause seasonality; internationally, climatic changes and travel patterns while domestically, holidays, religious festivals, sports and trade fairs. The study recommended extensive assessment on causes, impacts and effective management strategies to smoothen performance.},
year = {2022}
}
TY - JOUR T1 - Assessment of Seasonality on Performance of Star-Rated Beach Resorts in the Coastal Region of Kenya AU - Kwenga Japhet AU - Fwaya Erick AU - Davis Barasa Y1 - 2022/09/21 PY - 2022 N1 - https://doi.org/10.11648/j.ijhtm.20220602.12 DO - 10.11648/j.ijhtm.20220602.12 T2 - International Journal of Hospitality & Tourism Management JF - International Journal of Hospitality & Tourism Management JO - International Journal of Hospitality & Tourism Management SP - 31 EP - 35 PB - Science Publishing Group SN - 2640-1800 UR - https://doi.org/10.11648/j.ijhtm.20220602.12 AB - Hotel sector have bright vision for the growth of travel and tourism industry by providing the country’s economic growth. Despite increased efforts by the beach resorts managers and Government of Kenya to make them a driving force in achieving the national economic growth, they have continued to suffer from annual seasonal fluctuations in the volume of business due to tourism seasonality each with different expectations and demands. This paper assessed seasonality and performance of star-rated beach resorts in the coastal region of Kenya. Mixed method approach was used to do a cross-sectional survey. Questionnaires and interview schedule were used to collect data. Target population comprised of managers (23) and guests (586). Managers were purposively selected while guests were randomly sampled. Descriptive and inferential statistic were used to analyse quantitative data while qualitative data was analysed thematically. Results revealed high Standard Deviation (1.27), observed in October-December and April-July (1.8) while low Standard Deviation (0.51) was observed in April Easter week and December-March (0.85). Thus, a homogeneity of the responses that April Easter week and December-March are actually peak seasons interpreting to good performance. A number of factors were perceived to cause seasonality; internationally, climatic changes and travel patterns while domestically, holidays, religious festivals, sports and trade fairs. The study recommended extensive assessment on causes, impacts and effective management strategies to smoothen performance. VL - 6 IS - 2 ER -
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