Product opportunity identification based on internal capabilities using text mining and association rule mining

Seo, Wonchul; Yoon, Janghyeok; Park, Hyunseok; Coh, Byoung-Youl; Lee, Jae-Min; Kwon, Oh-Jin

doi:10.1016/j.techfore.2016.01.011

Cited by 81 publications

(32 citation statements)

References 34 publications

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“…Despite the evolution in approaches to discover trends, Seo et al (2016) criticize the identification of opportunities for innovation that rely on the analysis of generic technology trends, without considering whether such opportunities are feasible for a target company. Thus, they proposed a systematic approach to identify viable opportunities, depending on the internal capacity of a particular company.…”

Section: Related Workmentioning

confidence: 99%

Knowledge extraction on international markets from patent bases: a study on green patents

Bretas

Morais

Hora

et al. 2019

BJO&PM

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Goal: This article aims to propose a model for stratifying technological information from meta-data contained in international patent bases, capable of supporting the strategic decision making that potentiates actions directed to foreign trade. Design / Methodology / Approach: This applied research was based on the KDD - Knowledge Discovery in Databases methodology and carried out a study focused on green patents. Patent bibliographic data published in the Patent Cooperation Treaty (PCT) from 2003 to 2012, focusing on alternative energies, more precisely on biofuels, were obtained from the Derwent database, with the search string based on the Green Patents IPC Inventory, published by the World Intellectual Property Organization (WIPO). After treatment and sanitization, more than 36,000 resulting records were performed under C4.5 algorithm, denominated J-48 from the software Weka, resulting in Brazil as the destination country. Results: A decision tree was established, in which Mexico was highlighted as the main discretionary country. It was also verified the adhesion of the other emerging countries, which, along with Brazil, compose the BRICS. Limitations of the investigation: The proposed model is limited to areas that show intensive use of technology in products and processes. Practical implications: It could be inferred that the proposed method can help companies to identify international markets more sensitive to a certain technology, from a free database, reliable and capable of being used by micro and small companies. Originality / Value: In scientific communication, it is not easy to find Data mining applied to Patent database, and in this study, BRICS cluster were identified in Green patents WIPO deposit.

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Section: Related Workmentioning

confidence: 99%

Knowledge extraction on international markets from patent bases: a study on green patents

Bretas

Morais

Hora

et al. 2019

BJO&PM

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“…There are several retail websites online which provide a platform for clients to buy millions of products online. Amazon and Snapdeal are the most commonly known online websites where customers can also sell and purchase products online [1]. It is also possible for the clients to post reviews related to certain products online so that the other consumers can have a viewpoint regarding the products which they want to purchase.…”

Section: Introduction To Consumer Behaviormentioning

confidence: 99%

A Consumer Behavior Prediction Method for E-Commerce Application

2019

IJRTE

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The consumer behavior analysis is the technique which is applied to analyze consumer behavior. The customer behavior analysis has the three steps which are pre-processing, feature extraction and classification for prediction. In the previous work, Naïve Bayes was applied for the consumer behavior analysis. In this work, hybrid classifier is designed for the customer behavior analysis using Decision Tree and KNN. The proposed method is implemented in anaconda python and results are compared with the previously used Naïve Bayes method, for this analysis consumer reviews from Amazon website are used.

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“…Small and medium-sized enterprises are in an important position in the Korean economy as well as in the world economy and are expected to be committed to national economic growth during the process of exploring, discovering, and realizing promising technologies. First world countries and Korea have withdrawn promising technologies utilizing a technology/patent literature analysis, professional Delphi analysis, and a big data analysis with the inclusion of a large amount of data found on the Internet [5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

A Case Study on the Promising Product Selection Indicators for Small and Medium-Sized Enterprises (SMEs)

Kwon

Son

2018

Journal of Open Innovation: Technology, Market, and Complexity

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This case study used a technology readiness level (TRL), market attractiveness level (MAL), and customer readiness level (CRL) to measure the prospect of promising products. The TRL, MAL, and CRL were measured using Delphi methods. A TRL is composed of basic research as well as experimental, prototype, practical, and commercial stages. A market attractiveness level is made up of global market size, global market growth rate, and government policy suitability. A customer readiness level was measured using consumer preference. The promising products were mainly selected as information communication and software related products. Among the technologies and products announced by domestic and foreign organizations, products suitable for research and development tasks of small and medium-sized enterprises were selected. The results of this case study are expected to be committed for the enhancement of the success rate of commercialization for small and medium-sized enterprises by being dedicated to the R&D planning of small and medium-sized enterprises in the ICT (Information and Communication Technology)/SW (Software)) field and proposing a direction to pursue the business. The purpose of this paper is to propose an approach to measure the prospect of promising products by using three levels: TRL, MAL, and CRL, which are measured using Delphi methods. This approach aims to enhance the success rate of commercialization for small and medium-sized enterprises (SMEs).

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Product opportunity identification based on internal capabilities using text mining and association rule mining

Cited by 81 publications

References 34 publications

Knowledge extraction on international markets from patent bases: a study on green patents

Knowledge extraction on international markets from patent bases: a study on green patents

A Consumer Behavior Prediction Method for E-Commerce Application

A Case Study on the Promising Product Selection Indicators for Small and Medium-Sized Enterprises (SMEs)

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