{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T00:35:47Z","timestamp":1759970147939,"version":"build-2065373602"},"reference-count":61,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,1,7]],"date-time":"2025-01-07T00:00:00Z","timestamp":1736208000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"general project of national natural science foundation of China","award":["7217020185","2023GZYB31","12624903","H20240447"],"award-info":[{"award-number":["7217020185","2023GZYB31","12624903","H20240447"]}]},{"name":"general project of Guangzhou philosophy and social science development \u201c14th Five-Year Plan\u201d for the year 2023","award":["7217020185","2023GZYB31","12624903","H20240447"],"award-info":[{"award-number":["7217020185","2023GZYB31","12624903","H20240447"]}]},{"name":"The Social Science Project of Jinan University","award":["7217020185","2023GZYB31","12624903","H20240447"],"award-info":[{"award-number":["7217020185","2023GZYB31","12624903","H20240447"]}]},{"name":"National Foreign Experts Individual Program","award":["7217020185","2023GZYB31","12624903","H20240447"],"award-info":[{"award-number":["7217020185","2023GZYB31","12624903","H20240447"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Accurately identifying key competitors across multiple product lines is essential for enhancing the flexibility and competitiveness of product strategies. This study introduces a novel data-driven model for competitive analysis termed the Product Competition Analysis Model based on Consumer Preference Satisfaction Similarity (PCAM-CPSS). Unlike traditional methods that rely on assessments of the competitive environment, the PCAM-CPSS leverages sentiment analysis of user-generated content (UGC) to quantify consumer preference satisfaction. This method constructs a network based on product satisfaction similarity to map competitive relationships and employs a community detection algorithm to identify key competitors. To assess the model\u2019s efficacy, we collected and analyzed user reviews of various smartphone brands to serve as an evaluation dataset. We compared the performance of the PCAM-CPSS against two mainstream competitive analysis methods: attribute similarity-based ratings and co-occurrence statistics. The results, evaluated using the Normalized Discounted Cumulative Gain (NDCG) index, demonstrate that the PCAM-CPSS, particularly with price adjustment, offers significant advantages in identifying competitors more accurately than other evaluated methods.<\/jats:p>","DOI":"10.3390\/systems13010038","type":"journal-article","created":{"date-parts":[[2025,1,7]],"date-time":"2025-01-07T03:38:41Z","timestamp":1736221121000},"page":"38","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Product Competitive Analysis Model Based on Consumer Preference Satisfaction Similarity: Case Study of Smartphone UGC"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7790-206X","authenticated-orcid":false,"given":"Yu","family":"Wang","sequence":"first","affiliation":[{"name":"International Business School, Jinan University, Zhuhai 519070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiacong","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Management, Jinan University, Guangzhou 510632, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7294-2265","authenticated-orcid":false,"given":"Xu","family":"Ye","sequence":"additional","affiliation":[{"name":"School of Management, Jinan University, Guangzhou 510632, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Wu","sequence":"additional","affiliation":[{"name":"International Business School, Jinan University, Zhuhai 519070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"102989","DOI":"10.1016\/j.jretconser.2022.102989","article-title":"Mining the text of online consumer reviews to analyze brand image and brand positioning","volume":"67","author":"Alzate","year":"2022","journal-title":"J. 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