Exploring the correlation between new function attributes mined from different product domains and market sales

Kang, Sung Woo; Tucker, Conrad S.

doi:10.1080/0013791x.2017.1314567

Cited by 4 publications

(4 citation statements)

References 85 publications

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“… ‘S’ shaped curve Technological components are a series of technology processes, operation methods, functions, and material treatments DII SAO cleaning and consolidation Cooccurrence algorithm frequency statistics of patents containing specific requirements, Latent Dirichlet Allocation (LDA) Fuzzy Matching-based Consolidation Co-occurrence 1- Frequency Statistics 2- Correlation Map 3-Relevance Map A35. Semantic investigation of the relationship between new feature attributes gleaned from various product [ 63 ]. “Reasonable” function attributes combine with TRIZ USPTO Stop Words Verbs represented functions.…”

Section: Data Extraction and Analysismentioning

confidence: 99%

“…Novel evaluation indicators are suggested to measure technological feasibility which include (1) magnitude index as a quantitative indicator, (2) importance index as a quantitative indicator, and (3) growth trend index as a qualitative indicator [ 60 ]. Kang [ 63 ] conducted an actual case study to evaluate market sales data and functional descriptions. In a different study, ISO 9241-11 standard (effectiveness and efficiency) as a quantitative method was used to measure the performance of TRIZ-based inventive problem solving [ 68 ].…”

Section: Data Extraction and Analysismentioning

confidence: 99%

See 1 more Smart Citation

Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review

Ghane,

Ang,

Cavallucci

et al. 2024

Heliyon

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Section: Data Extraction and Analysismentioning

confidence: 99%

Section: Data Extraction and Analysismentioning

confidence: 99%

Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review

Ghane,

Ang,

Cavallucci

et al. 2024

Heliyon

View full text Add to dashboard Cite

“…To convert customer preferences into the importance of engineering characteristics, Kang and Tucker 35 used the latent Dirichlet allocation (LDA)-based method to extract the user-desired product features implied in reviews and the engineering characteristics hidden in the patent documents. Moreover, the PageRank algorithm 36 was used to match a customer requirement term to corresponding engineering characteristics.…”

Section: Related Workmentioning

confidence: 99%

A systematic estimation approach for the importance of engineering characteristics based on online reviews

Xing

Wang

Lin

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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Online reviews are a new source for the valuable voice of customers. By identifying the customer’s opinion, designers can comprehend the important features of a product to satisfy customer demand, thus enhancing the market competitiveness of the product. Customers have opinions on multiple aspects of products hidden in reviews, and sentiment divergence may exist. Moreover, there is a gap between customer requirements and the product’s system requirements. How to effectively analyze a large number of reviews to extract the aspect-level customer opinion and thus determine the most important product engineering characteristics in design are the critical challenges for market-driven design. A systematic requirement analysis framework is proposed in this work. First, a convolutional neural network and sentiment analysis are used for opinion mining of online reviews. Then, based on fuzzy logic, the customer sentiment divergence (which is quantified by controversy indexes) and the average sentiment of a requirement are used to determine the degree of satisfaction. Finally, based on the product’s quality function development matrix, the satisfaction and frequency of the customer requirements are used to estimate the importance of the product’s engineering characteristics, which identifies the focus of product design. A case study of a hair dryer is given to demonstrate the effectiveness of the proposed methods.

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“…They show that their methodology places a significantly higher number of bridging words towards the top of a ranked list compared to chance rankings. [Kang, 2016] and [Kang and Tucker, 2017] applied bisociative design methodology to discover product attributes that correlate to an increase in enterprise profit. They do so by analyzing the associations between function attributes and 3D form attributes among different products.…”

Section: Koestler's Concept Of Bisociationmentioning

confidence: 99%

Creative exploration using topic-based bisociative networks

Ahmed

Fuge

2018

Des. Sci.

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Bisociative knowledge discovery is an approach that combines elements from two or more "incompatible" domains to generate creative solutions and insight. Inspired by Koestler's notion of bisociation, in this paper we propose a computational framework for the discovery of new connections between domains to promote creative discovery and inspiration in design. Specifically, we propose using topic models on a large collection of unstructured text ideas from multiple domains to discover creative sources of inspiration. We use these topics to generate a Bisociative Information Network-a graph that captures conceptual similarity between ideas-that helps designers find creative links within that network. Using a dataset of thousands of ideas from OpenIDEO, an online collaborative community, our results show usefulness of representing conceptual bridges through collections of words (topics) in finding crossdomain inspiration. We show that the discovered links between domains, whether presented on their own or via ideas they inspired, are perceived to be more novel and can also be used as creative stimuli for new idea generation.

show abstract

Exploring the correlation between new function attributes mined from different product domains and market sales

Cited by 4 publications

References 85 publications

Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review

Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review

A systematic estimation approach for the importance of engineering characteristics based on online reviews

Creative exploration using topic-based bisociative networks

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