Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach
Milk tea is a famous drink that has been heavily consumed since 2011. This study aimed to determine the combination of milk tea attributes that were most preferred using a Conjoint Analysis Approach. Specifically, this study utilized different attributes such as the size of tapioca pearls, sugar lev...
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doaj-e5e5b2b13a2943718d5e4506bde328a42021-07-01T00:14:56ZengMDPI AGFoods2304-81582021-06-01101382138210.3390/foods10061382Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis ApproachArdvin Kester S. Ong0Yogi Tri Prasetyo1Ma. Althea Deniella C. Libiran2Yuanne Mae A. Lontoc3Joyce Anne V. Lunaria4Adelaine M. Manalo5Bobby Ardiansyah Miraja6Michael Nayat Young7Thanatorn Chuenyindee8Satria Fadil Persada9Anak Agung Ngurah Perwira Redi10School of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, PhilippinesSchool of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, PhilippinesYoung Innovators Research Center, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, PhilippinesYoung Innovators Research Center, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, PhilippinesYoung Innovators Research Center, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, PhilippinesYoung Innovators Research Center, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, PhilippinesDepartment of Business Management, Institut Teknologi Sepuluh November, Kampus ITS Sukolilo, Surabaya 60111, IndonesiaSchool of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, PhilippinesSchool of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, PhilippinesDepartment of Business Management, Institut Teknologi Sepuluh November, Kampus ITS Sukolilo, Surabaya 60111, IndonesiaIndustrial Engineering Department, BINUS Graduate Program-Master of Industrial Engineering, Bina Nusantara University, Jakarta 11480, IndonesiaMilk tea is a famous drink that has been heavily consumed since 2011. This study aimed to determine the combination of milk tea attributes that were most preferred using a Conjoint Analysis Approach. Specifically, this study utilized different attributes such as the size of tapioca pearls, sugar level, price range, brands, type of milk tea, cream cheese inclusion, and the amount of ice. Conjoint analysis with the orthogonal design was utilized to evaluate the preference of milk tea among consumers. The results showed that pearl size was the attribute most considered by consumers (29.137%), followed by sugar level (17.373%), the amount of ice (17.190%), the type of drink (13.421%), price (11.207%), and the least considered were cream cheese inclusion (9.525%) and the brands (2.147%). The findings of this study will be beneficial to milk tea firms about consumer preferences regarding the various attributes of milk tea. Finally, the result of this study could be applicable to different beverage-focused studies worldwide.https://www.mdpi.com/2304-8158/10/6/1382milk teaconjoint analysistapioca pearlsmarket analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ardvin Kester S. Ong Yogi Tri Prasetyo Ma. Althea Deniella C. Libiran Yuanne Mae A. Lontoc Joyce Anne V. Lunaria Adelaine M. Manalo Bobby Ardiansyah Miraja Michael Nayat Young Thanatorn Chuenyindee Satria Fadil Persada Anak Agung Ngurah Perwira Redi |
spellingShingle |
Ardvin Kester S. Ong Yogi Tri Prasetyo Ma. Althea Deniella C. Libiran Yuanne Mae A. Lontoc Joyce Anne V. Lunaria Adelaine M. Manalo Bobby Ardiansyah Miraja Michael Nayat Young Thanatorn Chuenyindee Satria Fadil Persada Anak Agung Ngurah Perwira Redi Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach Foods milk tea conjoint analysis tapioca pearls market analysis |
author_facet |
Ardvin Kester S. Ong Yogi Tri Prasetyo Ma. Althea Deniella C. Libiran Yuanne Mae A. Lontoc Joyce Anne V. Lunaria Adelaine M. Manalo Bobby Ardiansyah Miraja Michael Nayat Young Thanatorn Chuenyindee Satria Fadil Persada Anak Agung Ngurah Perwira Redi |
author_sort |
Ardvin Kester S. Ong |
title |
Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach |
title_short |
Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach |
title_full |
Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach |
title_fullStr |
Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach |
title_full_unstemmed |
Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach |
title_sort |
consumer preference analysis on attributes of milk tea: a conjoint analysis approach |
publisher |
MDPI AG |
series |
Foods |
issn |
2304-8158 |
publishDate |
2021-06-01 |
description |
Milk tea is a famous drink that has been heavily consumed since 2011. This study aimed to determine the combination of milk tea attributes that were most preferred using a Conjoint Analysis Approach. Specifically, this study utilized different attributes such as the size of tapioca pearls, sugar level, price range, brands, type of milk tea, cream cheese inclusion, and the amount of ice. Conjoint analysis with the orthogonal design was utilized to evaluate the preference of milk tea among consumers. The results showed that pearl size was the attribute most considered by consumers (29.137%), followed by sugar level (17.373%), the amount of ice (17.190%), the type of drink (13.421%), price (11.207%), and the least considered were cream cheese inclusion (9.525%) and the brands (2.147%). The findings of this study will be beneficial to milk tea firms about consumer preferences regarding the various attributes of milk tea. Finally, the result of this study could be applicable to different beverage-focused studies worldwide. |
topic |
milk tea conjoint analysis tapioca pearls market analysis |
url |
https://www.mdpi.com/2304-8158/10/6/1382 |
work_keys_str_mv |
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