Product Competitive Analysis Model Based on Consumer Preference Satisfaction Similarity: Case Study of Smartphone UGC
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 Preferen...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Systems |
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| Online Access: | https://www.mdpi.com/2079-8954/13/1/38 |
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| author | Yu Wang Jiacong Wu Xu Ye Yue Wu |
| author_facet | Yu Wang Jiacong Wu Xu Ye Yue Wu |
| author_sort | Yu Wang |
| collection | DOAJ |
| description | 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’s 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. |
| format | Article |
| id | doaj-art-3751cb4bac9140a8a7f0f34dfa1821ac |
| institution | Kabale University |
| issn | 2079-8954 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj-art-3751cb4bac9140a8a7f0f34dfa1821ac2025-01-24T13:50:35ZengMDPI AGSystems2079-89542025-01-011313810.3390/systems13010038Product Competitive Analysis Model Based on Consumer Preference Satisfaction Similarity: Case Study of Smartphone UGCYu Wang0Jiacong Wu1Xu Ye2Yue Wu3International Business School, Jinan University, Zhuhai 519070, ChinaSchool of Management, Jinan University, Guangzhou 510632, ChinaSchool of Management, Jinan University, Guangzhou 510632, ChinaInternational Business School, Jinan University, Zhuhai 519070, ChinaAccurately 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’s 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.https://www.mdpi.com/2079-8954/13/1/38product competitive analysisconsumer satisfactionproduct competitive relationship networksocial network analysisuser-generated content |
| spellingShingle | Yu Wang Jiacong Wu Xu Ye Yue Wu Product Competitive Analysis Model Based on Consumer Preference Satisfaction Similarity: Case Study of Smartphone UGC Systems product competitive analysis consumer satisfaction product competitive relationship network social network analysis user-generated content |
| title | Product Competitive Analysis Model Based on Consumer Preference Satisfaction Similarity: Case Study of Smartphone UGC |
| title_full | Product Competitive Analysis Model Based on Consumer Preference Satisfaction Similarity: Case Study of Smartphone UGC |
| title_fullStr | Product Competitive Analysis Model Based on Consumer Preference Satisfaction Similarity: Case Study of Smartphone UGC |
| title_full_unstemmed | Product Competitive Analysis Model Based on Consumer Preference Satisfaction Similarity: Case Study of Smartphone UGC |
| title_short | Product Competitive Analysis Model Based on Consumer Preference Satisfaction Similarity: Case Study of Smartphone UGC |
| title_sort | product competitive analysis model based on consumer preference satisfaction similarity case study of smartphone ugc |
| topic | product competitive analysis consumer satisfaction product competitive relationship network social network analysis user-generated content |
| url | https://www.mdpi.com/2079-8954/13/1/38 |
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