Conducting product comparative analysis to outperform competitor's product using Teardown JST Model. (March 2022)
- Record Type:
- Journal Article
- Title:
- Conducting product comparative analysis to outperform competitor's product using Teardown JST Model. (March 2022)
- Main Title:
- Conducting product comparative analysis to outperform competitor's product using Teardown JST Model
- Authors:
- Jiang, Cuiqing
Alqadhi, Abdullah
Almesbahi, Mahmood - Abstract:
- Due to the massive number of products being produced every year in every industry, firms have witnessed a tremendous growth in innovation of methods to create a sustainable competitive advantage. For the past decade and with the availability of online consumer reviews, companies and researchers have developed many approaches utilizing electronic Word-of-Mouth to improve and develop products and services to outperform competitors. The purpose of this study is to construct an effective method to perform a better product comparative analysis based on online consumer reviews. We propose a novel framework called Teardown Joint Sentiment-Topic analysis model consisting of a combination of text analytical approaches incorporated with a developed method of the traditional teardown analysis product comparative approach. The proposed approach is fully unsupervised model that employs Latent Dirichlet Allocation topic modeling to form topics which are classified according to their sentiments. Topics are then analyzed against competitive products and critical topics are identified using a developed teardown method. A case study analyzing online customer reviews of competing products in two domains (i.e., mobile phones and surveillance cameras) is conducted. The identified critical topics are further analyzed in view of products' specifications perspective. We found that the detected aspects of the selected products are indeed critical, and hence, they need to be improved in order to gainDue to the massive number of products being produced every year in every industry, firms have witnessed a tremendous growth in innovation of methods to create a sustainable competitive advantage. For the past decade and with the availability of online consumer reviews, companies and researchers have developed many approaches utilizing electronic Word-of-Mouth to improve and develop products and services to outperform competitors. The purpose of this study is to construct an effective method to perform a better product comparative analysis based on online consumer reviews. We propose a novel framework called Teardown Joint Sentiment-Topic analysis model consisting of a combination of text analytical approaches incorporated with a developed method of the traditional teardown analysis product comparative approach. The proposed approach is fully unsupervised model that employs Latent Dirichlet Allocation topic modeling to form topics which are classified according to their sentiments. Topics are then analyzed against competitive products and critical topics are identified using a developed teardown method. A case study analyzing online customer reviews of competing products in two domains (i.e., mobile phones and surveillance cameras) is conducted. The identified critical topics are further analyzed in view of products' specifications perspective. We found that the detected aspects of the selected products are indeed critical, and hence, they need to be improved in order to gain a competitive advantage. The significant result of this study shows that the proposed method is effective in conducting products comparative analysis and provides valuable insights into utilizing the consumer reviews for product development. … (more)
- Is Part Of:
- Concurrent engineering, research and applications. Volume 30:Number 1(2022)
- Journal:
- Concurrent engineering, research and applications
- Issue:
- Volume 30:Number 1(2022)
- Issue Display:
- Volume 30, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 30
- Issue:
- 1
- Issue Sort Value:
- 2022-0030-0001-0000
- Page Start:
- 21
- Page End:
- 31
- Publication Date:
- 2022-03
- Subjects:
- text mining -- customer reviews -- competitive advantage -- product comparative analysis -- joint sentiment topic -- teardown analysis
Production engineering -- Periodicals
Concurrent engineering -- Periodicals
621.39 - Journal URLs:
- http://cer.sagepub.com/ ↗
http://www.uk.sagepub.com/home.nav ↗
http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=1063-293x;screen=info;ECOIP ↗ - DOI:
- 10.1177/1063293X211047290 ↗
- Languages:
- English
- ISSNs:
- 1063-293X
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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