1
|
Consumer preferences for naturally high-fiber and fiber-fortified foods: a preliminary segmentation study. J Verbrauch Lebensm 2023. [DOI: 10.1007/s00003-023-01429-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
|
2
|
Ong AKS, Prasetyo YT, Esteller AJD, Bruno JE, Lagorza KCO, Oli LET, Chuenyindee T, Thana K, Persada SF, Nadlifatin R. Consumer preference analysis on the attributes of samgyeopsal Korean cuisine and its market segmentation: Integrating conjoint analysis and K-means clustering. PLoS One 2023; 18:e0281948. [PMID: 36795718 PMCID: PMC9934332 DOI: 10.1371/journal.pone.0281948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 02/05/2023] [Indexed: 02/17/2023] Open
Abstract
Samgyeopsal is a popular Korean grilled dish with increasing recognition in the Philippines as a result of the Hallyu. The aim of this study was to analyze the preferability of Samgyeopsal attributes which includes the main entree, cheese inclusion, cooking style, price, brand, and drinks using Conjoint Analysis and market segmentation using k-means clustering. A total of 1018 responses were collected online through social media platforms by utilizing a convenience sampling approach. The results showed that the main entrée (46.314%) was found to be the most important attribute, followed by cheese (33.087%), price (9.361%), drinks (6.603%), and style (3.349%). In addition, k-means clustering identified 3 different market segments: high-value, core, and low-value consumers. Furthermore, this study formulated a marketing strategy that focused on enhancing the choice of meat, cheese, and price based on these 3 market segments. This study has significant implications for enhancing Samgyeopsal chain businesses and helping entrepreneurs with consumer preference on Samgyeopsal attributes. Finally, conjoint analysis with k-means clustering can be utilized and extended for evaluating food preferences worldwide.
Collapse
Affiliation(s)
- Ardvin Kester S. Ong
- School of Industrial Engineering and Engineering Management, Mapúa University, Intramuros, Manila, Philippines
| | - Yogi Tri Prasetyo
- School of Industrial Engineering and Engineering Management, Mapúa University, Intramuros, Manila, Philippines
- International Bachelor Program in Engineering, Yuan Ze University, Chung-Li, Taiwan
- Department of Industrial Engineering and Management, Yuan Ze University, Chung-Li, Taiwan
- * E-mail:
| | | | - Jarod E. Bruno
- Young Innovators Research Center, Mapúa University, Intramuros, Manila, Philippines
| | | | - Lance Edward T. Oli
- Young Innovators Research Center, Mapúa University, Intramuros, Manila, Philippines
| | - Thanatorn Chuenyindee
- Department of Industrial Engineering and Aviation Management, Navaminda Kasatriyadhiraj Royal Air Force Academy, Bangkok, Thailand
| | - Kriengkrai Thana
- Department of Industrial Engineering and Aviation Management, Navaminda Kasatriyadhiraj Royal Air Force Academy, Bangkok, Thailand
| | - Satria Fadil Persada
- Entrepreneurship Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Malang, Indonesia
| | - Reny Nadlifatin
- Department of Information Systems, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya, Indonesia
| |
Collapse
|
3
|
Harmon DL. Grand Challenge in Animal Nutrition. FRONTIERS IN ANIMAL SCIENCE 2020. [DOI: 10.3389/fanim.2020.621638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|