DESCRIPTIVE STATISTICS WITH BOX-JENKINS AND MARKETING RESEARCH FOR JEWELLERY COMPANY IN MALAYSIA
Autor: | Izzati N. Ramli, Azme Khamis, Norziha Che-Him, K. Yee Chai, Suliadi Sufahani, Nur A. Suhaimi, S. Jing Seow, Zarith A. Azmi, Norazman Arbin, Mohd Saifullah Rusiman |
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Rok vydání: | 2017 |
Předmět: |
Box–Jenkins
Descriptive statistics 020209 energy General Mathematics media_common.quotation_subject 02 engineering and technology Value (economics) 0202 electrical engineering electronic engineering information engineering Market price Quality (business) Customer satisfaction Business Marketing Marketing research media_common |
Zdroj: | Far East Journal of Mathematical Sciences (FJMS). 101:2151-2161 |
ISSN: | 0972-0871 |
DOI: | 10.17654/ms101102151 |
Popis: | We develop and demonstrate a methodology for Chinese Jewellery companies for raising their sales and promoting the quality of their products and services. A questionnaire form is used for company’s sale report, and also to identify the customer satisfaction towards the shop. The data that we got from questionnaire form was analyzed using descriptive statistics. The forecast value for daily market price of gold deviates from the actual value due to unpredictable factors such as politic and economy issues, the 916 gold has higher sales at the peak season like festival during which there is some weakness in their products and services. |
Databáze: | OpenAIRE |
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