PURA: A Product-and-User Oriented Approach for Requirement Analysis From Online Reviews

Cai, Mengsi; Yue-jin, Tan; Ge, Bingfeng; Dou, Yajie; Huang, Guocheng; Du, Yonghao

doi:10.1109/jsyst.2021.3067334

Cited by 14 publications

(11 citation statements)

References 41 publications

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“…In addition, the research on brand image building based on consumer behavior provides new ideas for enterprises to carry out brand work from the perspective of consumer behavior, which is of strategic and tactical significance to enhance brand value [6]. e important point they made was that, in consumer perception of brands, build a long-term competitive brand by establishing effective mental differentiation and bringing consumers a pleasant effect [7]. Hu et al segmented brand-sensitive consumers based on consumer psychology, analyzed the brand preferences of different types of consumers, and put forward marketing suggestions accordingly [8].…”

Section: Literature Reviewmentioning

confidence: 99%

The Influence of Brand Visual Communication on Consumer Psychology Based on Deep Learning

Wang

2022

Mathematical Problems in Engineering

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In order to solve the problem that there are few methods of users’ consumption psychology, the author proposes a research on the influence of brand visual communication on consumer psychology based on deep learning. First, establish the mapping relationship between experience level-product features-aspect words and then use aspect word extraction technology, mining users’ attention to different experience levels from user comments and dividing users into three types: instinctive preference, behavioral preference, and reflective preference; finally, the deep learning-based aspect sentiment analysis technology is used to calculate the user’s preference for the product and further analyze the characteristics of different types of users. Experimental results show that based on the application analysis of more than 900,000 JD.com mobile phone review data, three types of consumer preference user groups were obtained, of which instinctive preference users accounted for 41.6%; it is higher than behavioral preference users (33.01%) and reflection preference users (25.39%), and the consumption characteristics of the three types of users are analyzed from the aspects of mobile phone brand and price. It is proved that the author’s user portrait method can better express the consumption preferences of different types of users.

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Section: Literature Reviewmentioning

confidence: 99%

The Influence of Brand Visual Communication on Consumer Psychology Based on Deep Learning

Wang

2022

Mathematical Problems in Engineering

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“…Along with the development of social media, many studies have been conducted to analyze user-generated contents, such as star ratings and text reviews, but there are fewer studies on new energy vehicles. Cai et al first extracted product features from new energy vehicle reviews by using machine learning models, and then used hierarchical clustering models for feature classification, followed by demand ranking based on customer satisfaction scores, and finally employed statistical methods for demand preference identification [26]. Since 2017, some studies have started to extend the multi-attribute decision making method to the new energy vehicles field.…”

Section: New Energy Vehiclesmentioning

confidence: 99%

A New Multi-Attribute Decision Making Method for Overvalued Star Ratings Adjustment and Its Application in New Energy Vehicle Selection

Zhang

Chen

2023

Mathematics

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Under the global consensus of carbon peaking and carbon neutrality, new energy vehicles have gradually become mainstream, driven by the dual crises regarding the atmospheric environment and energy security. When choosing new energy vehicles, consumers prefer to browse the post-purchase reviews and star ratings of various new energy vehicles on platforms such as DCar.com. However, it is easy for consumers to become lost in the high-star text reviews and mismatched reviews. To solve the above two issues, this study selected nine new energy vehicles and used a multi-attribute decision making method to rank the vehicles. We first designed adjustment rules based on star ratings and text reviews to cope with the issue of high star ratings but negative text reviews. Secondly, we classified consumers and recommended the optimal alternative for each type of consumer to deal with the issue of mismatched demands between review writers and viewers. Finally, this study compared the ranking results with the sales charts of the past year to verify the feasibility of the proposed method initially. The feasibility and stability of the proposed method were further verified through comparative and sensitivity analyses.

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“…The study found that different types of customers pay different attention to hotel features, which is helpful for hotels to identify service characteristics that need to be improved. For the study of electronic products, aiming at the improvement of new energy vehicles, in order to identify the requirement differences between different customer groups, Cai et al (2021) proposed a product-and-user oriented approach (PURA) for requirement analysis to identify the difference in requirements between customers. Multi-attribute decision making method is a common ranking method in decision making field (Lin et al , 2020), so some researchers used extended multi-attribute decision making method to analyze customer preferences (Yadegaridehkordi et al , 2021; Du et al ., 2022).…”

Section: Research On Ewom For Product and Service Quality Improvementmentioning

confidence: 99%

Research on electronic word-of-mouth for product and service quality improvement: bibliometric analysis and future directions

Wang

Meng²,

Xu³

et al. 2022

IJICC

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PurposeThis paper aims to analyze high-quality papers on the research of electronic word-of-mouth (eWOM) for product and service quality improvement from 2009 to 2022, in order to fully understand their historical progress, current situation and future development trend.Design/Methodology/ApproachThis paper adopts the bibliometrics method to analyze the relevant literature, including publishing trend and citation status, regional and discipline area distribution, and influential publications. Secondly, the VOSviewer is used for literature co-citation analysis and keyword co-occurrence analysis to obtain the basic literature and research hotspots in this research field.FindingsFirstly, the study finds that the number of publications basically shows an increasing trend, and those publications are mainly published in tourism journals. In addition, among these papers, China has the largest number of publications, followed by the USA and South Korea. Through co-citation analysis of literature and keyword co-occurrence analysis, 22 foundational papers and six main research topics are obtained in this paper. Finally, this paper elaborates on the development trend of the research topic and future research directions in detail.Originality/valueThis is the first paper that uses bibliometrics to analyze and review relevant researches on eWOM for product and service quality improvement, which is helpful for researchers to quickly understand its development status and trend. This review also provides some future research directions and provides a reference for further research.

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PURA: A Product-and-User Oriented Approach for Requirement Analysis From Online Reviews

Cited by 14 publications

References 41 publications

The Influence of Brand Visual Communication on Consumer Psychology Based on Deep Learning

The Influence of Brand Visual Communication on Consumer Psychology Based on Deep Learning

A New Multi-Attribute Decision Making Method for Overvalued Star Ratings Adjustment and Its Application in New Energy Vehicle Selection

Research on electronic word-of-mouth for product and service quality improvement: bibliometric analysis and future directions

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