New tourism product forecasting – application of bass diffusion model and grey forecasting model

Previous researches usually applied Bass diffusion model (BDM) in forecasting the new product in various areas. This is the first application of BDM to the new tourism product since the model had been developed by Frank M. Bass in 1969. On the other hand, Grey forecasting model able to deal with lim...

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Main Authors: Abu, Noratikah, Khaidi, S. M., Muhammad, Noryanti
Format: Article
Language:English
Published: Penerbit UMP 2020
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Online Access:http://umpir.ump.edu.my/id/eprint/35143/1/2020%20DAAM%20New%20tourism%20product%20forecasting%20application%20of%20Bass%20Diffusion%20Model%20and%20Grey%20Forecasting%20Model.pdf
http://umpir.ump.edu.my/id/eprint/35143/
https://doi.org/10.15282/daam.v1i01.4635
https://doi.org/10.15282/daam.v1i01.4635
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Institution: Universiti Malaysia Pahang
Language: English
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spelling my.ump.umpir.351432022-10-12T08:03:09Z http://umpir.ump.edu.my/id/eprint/35143/ New tourism product forecasting – application of bass diffusion model and grey forecasting model Abu, Noratikah Khaidi, S. M. Muhammad, Noryanti QA Mathematics Previous researches usually applied Bass diffusion model (BDM) in forecasting the new product in various areas. This is the first application of BDM to the new tourism product since the model had been developed by Frank M. Bass in 1969. On the other hand, Grey forecasting model able to deal with limited number of data. Both BDM and grey forecasting model have been used in various areas in the forecasting studies. Taking advantages of both models, the combination of both Bass and grey model, called grey Bass forecasting model is applied in the context of the new tourism product forecasting. The objective of this study is to forecast the new tourism product demand in Malaysia using the developed model. Yearly visitors from two ecotourism resorts in Pahang, Tanah Aina Fahad and Tanah Aina Farrah Soraya from 2014 until 2018 are used. The results show that both BDM and grey Bass forecasting model are suitable in forecasting the new tourism product. The authors also suggest other factors affecting the attendance of visitors to be included in further research to conclude which model perform better in the future. Penerbit UMP 2020 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/35143/1/2020%20DAAM%20New%20tourism%20product%20forecasting%20application%20of%20Bass%20Diffusion%20Model%20and%20Grey%20Forecasting%20Model.pdf Abu, Noratikah and Khaidi, S. M. and Muhammad, Noryanti (2020) New tourism product forecasting – application of bass diffusion model and grey forecasting model. Data Analytics and Applied Mathematics (DAAM), 1 (1). pp. 37-43. ISSN 2773-4854 https://doi.org/10.15282/daam.v1i01.4635 https://doi.org/10.15282/daam.v1i01.4635
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Abu, Noratikah
Khaidi, S. M.
Muhammad, Noryanti
New tourism product forecasting – application of bass diffusion model and grey forecasting model
description Previous researches usually applied Bass diffusion model (BDM) in forecasting the new product in various areas. This is the first application of BDM to the new tourism product since the model had been developed by Frank M. Bass in 1969. On the other hand, Grey forecasting model able to deal with limited number of data. Both BDM and grey forecasting model have been used in various areas in the forecasting studies. Taking advantages of both models, the combination of both Bass and grey model, called grey Bass forecasting model is applied in the context of the new tourism product forecasting. The objective of this study is to forecast the new tourism product demand in Malaysia using the developed model. Yearly visitors from two ecotourism resorts in Pahang, Tanah Aina Fahad and Tanah Aina Farrah Soraya from 2014 until 2018 are used. The results show that both BDM and grey Bass forecasting model are suitable in forecasting the new tourism product. The authors also suggest other factors affecting the attendance of visitors to be included in further research to conclude which model perform better in the future.
format Article
author Abu, Noratikah
Khaidi, S. M.
Muhammad, Noryanti
author_facet Abu, Noratikah
Khaidi, S. M.
Muhammad, Noryanti
author_sort Abu, Noratikah
title New tourism product forecasting – application of bass diffusion model and grey forecasting model
title_short New tourism product forecasting – application of bass diffusion model and grey forecasting model
title_full New tourism product forecasting – application of bass diffusion model and grey forecasting model
title_fullStr New tourism product forecasting – application of bass diffusion model and grey forecasting model
title_full_unstemmed New tourism product forecasting – application of bass diffusion model and grey forecasting model
title_sort new tourism product forecasting – application of bass diffusion model and grey forecasting model
publisher Penerbit UMP
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/35143/1/2020%20DAAM%20New%20tourism%20product%20forecasting%20application%20of%20Bass%20Diffusion%20Model%20and%20Grey%20Forecasting%20Model.pdf
http://umpir.ump.edu.my/id/eprint/35143/
https://doi.org/10.15282/daam.v1i01.4635
https://doi.org/10.15282/daam.v1i01.4635
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