{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T22:46:48Z","timestamp":1781563608916,"version":"3.54.5"},"reference-count":43,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T00:00:00Z","timestamp":1664755200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["DTA"],"published-print":{"date-parts":[[2023,10,20]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>With the continuous development of online shopping, analyzing the competitiveness of products in the fierce market competition is becoming increasingly crucial to position their own product development. However, the information overload brought by the network development makes it getting difficult to obtain the accurate competitiveness information. Therefore, competitiveness analysis research to combine with the perceived helpfulness study needs urgent solution. Furthermore, deviations exist in the three common methods of perceived helpfulness research. Finally, the traditional information fusion analysis only analyzes the advantages and disadvantages of products in competitiveness analysis without taking account of the competitive environment.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>This study puts forward a novel prediction model of perceived helpfulness in conjunction of unsupervised learning and sentiment analysis techniques, to conduct the comparison with pros and cons of congeneric products.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>This paper adopts Wilcoxon test to demonstrate the significant rectification of our competitiveness analysis to the traditional methods. It is noted that the positive reviews of the products in this study impact more on product word of mouth and competitiveness than negative ones.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>To sum up, the results of this study benefit businesses in locating their dynamic market position with competitors in practice and exploring new method for long-term development strategic planning.<\/jats:p><\/jats:sec>","DOI":"10.1108\/dta-03-2022-0124","type":"journal-article","created":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T06:50:33Z","timestamp":1664779833000},"page":"437-464","source":"Crossref","is-referenced-by-count":7,"title":["Product competitiveness analysis from the perspective of customer perceived helpfulness: a novel method of information fusion research"],"prefix":"10.1108","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8630-5571","authenticated-orcid":false,"given":"Zheng","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2985-6449","authenticated-orcid":false,"given":"Ying","family":"Ji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0432-2942","authenticated-orcid":false,"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanming","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8647-5431","authenticated-orcid":false,"given":"Lun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4746-270X","authenticated-orcid":false,"given":"Shaojian","family":"Qu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","published-online":{"date-parts":[[2022,10,3]]},"reference":[{"key":"key2023102013124794200_ref001","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1111\/poms.12303","article-title":"An integrated text analytic framework for product defect discovery","volume":"24","year":"2015","journal-title":"Production and Operations Management"},{"key":"key2023102013124794200_ref002","doi-asserted-by":"crossref","first-page":"810","DOI":"10.1108\/DTA-03-2020-0068","article-title":"Effect of eWOM on purchase intention: meta-analysis","volume":"55","year":"2021","journal-title":"Data Technologies and Applications"},{"key":"key2023102013124794200_ref003","first-page":"358","article-title":"Product opinion mining for competitive intelligence","year":"2015"},{"key":"key2023102013124794200_ref004","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.elerap.2018.05.004","article-title":"Information search in the internet markets: experience versus search goods","volume":"30","year":"2018","journal-title":"Electronic Commerce Research and Applications"},{"key":"key2023102013124794200_ref005","doi-asserted-by":"crossref","first-page":"7068","DOI":"10.1080\/00207543.2019.1574989","article-title":"Modelling customer satisfaction from online reviews using ensemble neural network and effect-based Kano model","volume":"57","year":"2019","journal-title":"International Journal of Production Research"},{"key":"key2023102013124794200_ref006","doi-asserted-by":"crossref","unstructured":"Bitner, M.J., Zeithaml, V.A. and Gremler, D.D. 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