著者

竹岡 志朗

出版者

桃山学院大学

雑誌

桃山学院大学経済経営論集 (ISSN:02869721)

巻号頁・発行日

vol.58, no.1, pp.63-79, 2016-07

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A category of product is not objective or a priori existence. In other words, a boundary or members of category is not determined in advance. In researches, there are some approaches to concept of category. To classify concepts, one is static approach, another is dynamic approach. In static approach, a category is regarded as bundles of properties. On the other hand, in dynamic approach, a category is constructed impromptu in decision making. Both of these researches, a concept of category is the point at issue because of this concept is important theme as consumer's decision making in consumer behavior researches. In detail, consumers are affected categories of products as consideration set in decision making processes. In this research,we consider category of concepts in innovation diffusion processes. In innovation diffusion, meanings of product categories transit one after another. This article makes this transition visible with using of text-mining. There are some advantages in using text-mining in this research. First, a text-mining tool allows us to review all terms that describe products and to examine the referential relationship among those terms or the co-occurrence relations among the terms. By abstracting the semantic dimension of all terms, we can avoid the problem of whether the terms used by parties are comprehended by observers in the same way. Second, a text-mining tool is able to identify the commonality of co-occurrence relations among all terms because such a tool allows massive amounts of data to be identified and quantified. Third, a text mining tool can uncover the commonality of co-occurrence relations between more than two terms. Because a greater number of collocated terms imply a narrower interpretation, it is more likely that parties and observers will share technology values. In concrete, we use co-occurrence network analysis. Co-occurrence network is described based on term's co-occurrence relationships. In short, this analysis is a summary of writings (in this article, electric words of mouth which is written at kakaku. com). Then we can describe clusters on co-occurrence networks. We regard this clusters on co-occurrence networks as levels of meaning. Level of meaning affects consumer's cognition and then consumer's decision making processes. Using this approach, a manufacturer can perform and make an incremental innovation ahead of others.

著者

竹岡 志朗 太田 雅晴

出版者

日本情報経営学会

雑誌

日本情報経営学会誌 (ISSN:18822614)

巻号頁・発行日

vol.30, no.1, pp.52-63, 2009-08-17

被引用文献数

2

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Market environment surrounding enterprises and various organizations is globalized ever faster and very fluid. Establishment of sustainable competitive advantage is sought for every organization to develop, survive and adapt in such managerial circumstances. Innovation is one of useful managerial principle. In this paper, the applicability of Actor-Network Theory (ANT) as an analytical viewpoint to innovation studies was discussed. ANT is a prime example of the Socio-Technical approach. First, precedent innovation studies were surveyed and current streams of the studies were confirmed. Then, precedent innovation studies applied ANT were surveyed and the differences between them were clarified. From these differences, the usefulness and applicability of ANT as an analytical viewpoint to innovation studies were concluded. One of reasons is, ANT analyzes innovation from not the viewpoint of reductionism but the viewpoint of relationship. Furthermore, the viewpoint of ANT has an affinity for the viewpoint of innovation studies in general management studies, especially the viewpoint that focuses on process and network. Starting on the study of innovation using ANT, it will have the complexity that all things are treated as variables without the assumption that something is constant tacitly. However it has the possibility to discuss the innovation topic from the difference views and to derive some unique results. Lastly, two issues for innovation studies using ANT were brought.

著者

井上 祐輔 竹岡 志朗 高木 修一

出版者

日本情報経営学会

雑誌

日本情報経営学会誌 (ISSN:18822614)

巻号頁・発行日

vol.35, no.1, pp.59-71, 2014-09-30

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This article discusses some methodological considerations about using Text Mining technology. We interpret the result of Text Mining, based on New Institutional Theory. As a result, we made clear that sign representation is the leverage point in an understanding either isomorphism or differentiation. Moreover, we designate the diffusion of innovations as to be common sign representations. Finally, we suggest the method of Text Mining as how to analyze the diffusion process.

著者

竹岡 志朗

出版者

日本経営学会

雑誌

經營學論集 第89集 日本的経営の現在─日本的経営の何を残し,何を変えるか─ (ISSN:24322237)

巻号頁・発行日

pp.F17-1-F17-7, 2019 (Released:2019-09-26)

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本研究は,近年注目されている機械学習技術,これを用いたテキストマイニングの新しい手法に関するものである。具体的には,機械学習技術を用いて商品・サービスの特徴をテキストマイニングによって分析・可視化する手法を提案する。今回提案するテキストマイニングの手法は,現在主流の計量テキスト分析で用いられる集計値に基づくものではなく,機械学習技術によって算出される単語の分散表現に基づいたものである。今回は,水族館のクチコミを分析対象とし,分散表現テキストマイニングの手法に,さらに外形的データ(仕様など)を併用すること,つまり単語の類似度と外形的データを総合的に分析することで,消費者の体験によって構築される意味と仕様などの関係を可視化する手法を提案する。分散表現に基づいたテキストマイニングは,まだまだ未完成の技術であり,定まった手法ではないが,この技術の応用可能性について,実際のデータに基づいて検討する。

著者

竹岡 志朗

出版者

桃山学院大学

雑誌

桃山学院大学経済経営論集 = ST.ANDREW'S UNIVERSITY ECONOMIC AND BUSINESS REVIEW (ISSN:02869721)

巻号頁・発行日

vol.58, no.1, pp.63-79, 2016-07-06

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A category of product is not objective or a priori existence. In other words, a boundary or members of category is not determined in advance. In researches, there are some approaches to concept of category. To classify concepts, one is static approach, another is dynamic approach. In static approach, a category is regarded as bundles of properties. On the other hand, in dynamic approach, a category is constructed impromptu in decision making. Both of these researches, a concept of category is the point at issue because of this concept is important theme as consumer's decision making in consumer behavior researches. In detail, consumers are affected categories of products as consideration set in decision making processes. In this research,we consider category of concepts in innovation diffusion processes. In innovation diffusion, meanings of product categories transit one after another. This article makes this transition visible with using of text-mining. There are some advantages in using text-mining in this research. First, a text-mining tool allows us to review all terms that describe products and to examine the referential relationship among those terms or the co-occurrence relations among the terms. By abstracting the semantic dimension of all terms, we can avoid the problem of whether the terms used by parties are comprehended by observers in the same way. Second, a text-mining tool is able to identify the commonality of co-occurrence relations among all terms because such a tool allows massive amounts of data to be identified and quantified. Third, a text mining tool can uncover the commonality of co-occurrence relations between more than two terms. Because a greater number of collocated terms imply a narrower interpretation, it is more likely that parties and observers will share technology values. In concrete, we use co-occurrence network analysis. Co-occurrence network is described based on term's co-occurrence relationships. In short, this analysis is a summary of writings (in this article, electric words of mouth which is written at kakaku. com). Then we can describe clusters on co-occurrence networks. We regard this clusters on co-occurrence networks as levels of meaning. Level of meaning affects consumer's cognition and then consumer's decision making processes. Using this approach, a manufacturer can perform and make an incremental innovation ahead of others.

著者

竹岡 志朗 高木 修一 井上 祐輔

出版者

日本情報経営学会

雑誌

日本情報経営学会誌 (ISSN:18822614)

巻号頁・発行日

vol.35, no.1, pp.72-86, 2014-09-30

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This article examines the diffusion of innovations that resulted in micro social phenomena. We use text mining to analyze online bulletin boards (kakaku.com). Lastly, we discuss an analytical method that can support decision-making in new-product development, and explore the needs of word-of-mouth data on the Internet, such as blogs and social networking sites (SNS).

著者

竹岡 志朗 高木 修一 井上 祐輔

出版者

日本情報経営学会

雑誌

日本情報経営学会誌 (ISSN:18822614)

巻号頁・発行日

vol.35, no.1, pp.72-86, 2014

---

This article examines the diffusion of innovations that resulted in micro social phenomena. We use text mining to analyze online bulletin boards (kakaku.com). Lastly, we discuss an analytical method that can support decision-making in new-product development, and explore the needs of word-of-mouth data on the Internet, such as blogs and social networking sites (SNS).

著者

井上 祐輔 竹岡 志朗 高木 修一

出版者

日本情報経営学会

雑誌

日本情報経営学会誌 (ISSN:18822614)

巻号頁・発行日

vol.35, no.1, pp.59-71, 2014

---

This article discusses some methodological considerations about using Text Mining technology. We interpret the result of Text Mining, based on New Institutional Theory. As a result, we made clear that sign representation is the leverage point in an understanding either isomorphism or differentiation. Moreover, we designate the diffusion of innovations as to be common sign representations. Finally, we suggest the method of Text Mining as how to analyze the diffusion process.