FORECASTING TOURIST ARRIVALS TO LANGKAWI ISLAND MALAYSIA

Kamarul Ariffin Mansor () and Wan Irham Ishak
Additional contact information
Wan Irham Ishak: Universiti Teknologi MARA (UiTM), Kedah, Malaysia

CrossCultural Management Journal, 2015, issue 1, 69-76

Abstract: Tourism is the act of travelling for a person or group of people from their own locality to a specific destination in a short term or long term period either for leisure or business purposes. Tourism is an important sector in the Malaysian economy where tourism development will lead to the positive economic development of the country and in general improve the quality of life for all citizens. Therefore, forecasting tourist arrivals with high accuracy becomes important since it may ensure the development and the readiness of all tourism related industries such as hotels, transportation, food and services industries and their best shape. This study focuses on tourist arrivals in Langkawi Island as one of the major tourist attractions situated in the northerly region of Peninsular Malaysia. Importantly, this paper attempts to measure and compare the performance of forecasting with Exponential Smoothing, ARIMA and ARFIMA models using the R software package.

Keywords: Tourist Arrivals; Forecasting; Time Series; Exponential Smoothing; ARIMA; ARFIMA (search for similar items in EconPapers)
JEL-codes: C51 C52 C53 L83 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://seaopenresearch.eu/Journals/articles/CMJ2015_I1_9.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cmj:journl:y:2015:i:7:p:69-76

Access Statistics for this article

CrossCultural Management Journal is currently edited by Fundația Română pentru Inteligența Afacerii

More articles in CrossCultural Management Journal from Fundația Română pentru Inteligența Afacerii, Editorial Department
Bibliographic data for series maintained by Serghie Dan ().