KopiCulture: Unveiling Customer Loyalty in Malaysia's Coffee Market through Clustering Algorithms for Local Cafe Insights
In recent years, the coffee market in Malaysia has expanded significantly, propelled by an expanding cafe culture and consumer demand for unique coffee experiences. It is crucial for coffee retailers, such as global chains and local cafes, to comprehend customer loyalty in this dynamic environmen...
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INTI International University
2024
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| Online Access: | http://eprints.intimal.edu.my/2014/1/jods2024_35.pdf http://eprints.intimal.edu.my/2014/2/554 http://eprints.intimal.edu.my/2014/ http://ipublishing.intimal.edu.my/jods.html |
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| _version_ | 1831337557579792384 |
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| author | Tuan Norhafizah, Tuan Zakaria Che Ku Nuraini, Che Ku Mohd |
| author_facet | Tuan Norhafizah, Tuan Zakaria Che Ku Nuraini, Che Ku Mohd |
| author_sort | Tuan Norhafizah, Tuan Zakaria |
| building | INTI Library |
| collection | Institutional Repository |
| content_provider | INTI International University |
| content_source | INTI Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | In recent years, the coffee market in Malaysia has expanded significantly, propelled by an
expanding cafe culture and consumer demand for unique coffee experiences. It is crucial for coffee
retailers, such as global chains and local cafes, to comprehend customer loyalty in this dynamic
environment. This study aims to identify customer loyalty patterns in the Malaysian coffee market,
focusing on the Malaysia Starbucks customer survey dataset. Using clustering algorithms such as
KMeans, KMeans with Principal Component Analysis (PCA), single linkage, complete linkage,
DBScan, and DBScan in conjunction with PCA, we identify distinct customer segments based on
loyalty patterns. Our findings give Starbucks and local coffee shops valuable insights, allowing
them to tailor their marketing strategies and improve customer retention efforts. Through this
analysis, we contribute to the expanding body of knowledge on customer loyalty in the context of
the Malaysian coffee market and offer implications for coffee retailers seeking to thrive in this
competitive environment. |
| format | Article |
| id | my-inti-eprints.2014 |
| institution | INTI International University |
| language | en en |
| publishDate | 2024 |
| publisher | INTI International University |
| record_format | eprints |
| spelling | my-inti-eprints.20142024-11-05T08:50:27Z http://eprints.intimal.edu.my/2014/ KopiCulture: Unveiling Customer Loyalty in Malaysia's Coffee Market through Clustering Algorithms for Local Cafe Insights Tuan Norhafizah, Tuan Zakaria Che Ku Nuraini, Che Ku Mohd H Social Sciences (General) HD Industries. Land use. Labor QA75 Electronic computers. Computer science QA76 Computer software In recent years, the coffee market in Malaysia has expanded significantly, propelled by an expanding cafe culture and consumer demand for unique coffee experiences. It is crucial for coffee retailers, such as global chains and local cafes, to comprehend customer loyalty in this dynamic environment. This study aims to identify customer loyalty patterns in the Malaysian coffee market, focusing on the Malaysia Starbucks customer survey dataset. Using clustering algorithms such as KMeans, KMeans with Principal Component Analysis (PCA), single linkage, complete linkage, DBScan, and DBScan in conjunction with PCA, we identify distinct customer segments based on loyalty patterns. Our findings give Starbucks and local coffee shops valuable insights, allowing them to tailor their marketing strategies and improve customer retention efforts. Through this analysis, we contribute to the expanding body of knowledge on customer loyalty in the context of the Malaysian coffee market and offer implications for coffee retailers seeking to thrive in this competitive environment. INTI International University 2024-11 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2014/1/jods2024_35.pdf text en cc_by_4 http://eprints.intimal.edu.my/2014/2/554 Tuan Norhafizah, Tuan Zakaria and Che Ku Nuraini, Che Ku Mohd (2024) KopiCulture: Unveiling Customer Loyalty in Malaysia's Coffee Market through Clustering Algorithms for Local Cafe Insights. Journal of Data Science, 2024 (35). ISSN 2805-5160 http://ipublishing.intimal.edu.my/jods.html |
| spellingShingle | H Social Sciences (General) HD Industries. Land use. Labor QA75 Electronic computers. Computer science QA76 Computer software Tuan Norhafizah, Tuan Zakaria Che Ku Nuraini, Che Ku Mohd KopiCulture: Unveiling Customer Loyalty in Malaysia's Coffee Market through Clustering Algorithms for Local Cafe Insights |
| title | KopiCulture: Unveiling Customer Loyalty in Malaysia's Coffee Market
through Clustering Algorithms for Local Cafe Insights |
| title_full | KopiCulture: Unveiling Customer Loyalty in Malaysia's Coffee Market
through Clustering Algorithms for Local Cafe Insights |
| title_fullStr | KopiCulture: Unveiling Customer Loyalty in Malaysia's Coffee Market
through Clustering Algorithms for Local Cafe Insights |
| title_full_unstemmed | KopiCulture: Unveiling Customer Loyalty in Malaysia's Coffee Market
through Clustering Algorithms for Local Cafe Insights |
| title_short | KopiCulture: Unveiling Customer Loyalty in Malaysia's Coffee Market
through Clustering Algorithms for Local Cafe Insights |
| title_sort | kopiculture: unveiling customer loyalty in malaysia's coffee market
through clustering algorithms for local cafe insights |
| topic | H Social Sciences (General) HD Industries. Land use. Labor QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://eprints.intimal.edu.my/2014/1/jods2024_35.pdf http://eprints.intimal.edu.my/2014/2/554 http://eprints.intimal.edu.my/2014/ http://ipublishing.intimal.edu.my/jods.html |
| url_provider | http://eprints.intimal.edu.my |