CEO and CIO perspectives on competitive intelligence

Vedder, Richard G.; Vanecek, Michael T.; Guynes, Carl S.; Cappel, James J.

doi:10.1145/310930.310982

Cited by 84 publications

(43 citation statements)

References 5 publications

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“…A typical CI process consists of a series of business activities that involve identifying, gathering, developing, analyzing and disseminating information [7,10,25,26]. The following list shows a typical sequence in which these activities take place.…”

Section: Competitive Intelligencementioning

confidence: 99%

CI Spider: a tool for competitive intelligence on the Web

Chen

Chau

Zeng

2002

Decision Support Systems

139

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Competitive Intelligence (CI) aims to monitor a firm's external environment for information relevant to its decision-making process. As an excellent information source, the Internet provides significant opportunities for CI professionals as well as the problem of information overload. Internet search engines have been widely used to facilitate information search on the Internet. However, many problems hinder their effective use in CI research. In this paper, we introduce the Competitive Intelligence Spider, or CI Spider, designed to address some of the problems associated with using Internet search engines in the context of competitive intelligence. CI Spider performs real-time collection of Web pages from sites specified by the user and applies indexing and categorization analysis on the documents collected, thus providing the user with an up-to-date, comprehensive view of the Web sites of user interest. In this paper, we report on the design of the CI Spider system and on a user study of CI Spider, which compares CI Spider with two other alternative focused information gathering methods: Lycos search constrained by Internet domain, and manual within-site browsing and searching. Our study indicates that CI Spider has better precision and recall rate than Lycos. CI Spider also outperforms both Lycos and within-site browsing and searching with respect to ease of use. We conclude that there exists strong evidence in support of the potentially significant value of applying the CI Spider approach in CI applications. D

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Section: Competitive Intelligencementioning

confidence: 99%

CI Spider: a tool for competitive intelligence on the Web

Chen

Chau

Zeng

2002

Decision Support Systems

139

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“…2002 ;C. Whitelaw 2005 Vedder et al,(1999). Table 2 highlights the research gap, which we aim to address in this paper: the application of text mining to vehicle market analysis in the on-line car community.…”

Section: Sentiment Analysismentioning

confidence: 99%

Reliability Analysis of VOC Data for Opinion Mining

Dongwon¹,

Shen²

2016

Journal of Intelligence and Information Systems

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․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․․The purpose of this study is to verify how 7 sentiment domains extracted through sentiment analysis from social media have an influence on business performance. It consists of three phases. In phase I, we constructed the sentiment lexicon after crawling 45,447 pieces of VOC (Voice of the Customer) on 26 auto companies from the car community and extracting the POS information and built a seven-sensitive domains. In phase II, in order to retain the reliability of experimental data, we examined auto-correlation analysis and PCA. In phase III, we investigated how 7 domains impact on the market share of three major (GM, FCA, and VOLKSWAGEN) auto companies by using linear regression analysis. The findings from the auto-correlation analysis proved auto-correlation and the sequence of the sentiments, and the results from PCA reported the 7 sentiments connected with positivity, negativity and neutrality. As a result of linear regression analysis on model 1, we indentified that the sentimental factors have a significant influence on the actual market share. In particular, not only posotive and negative sentiment domains, but neutral sentiment had significantly impacted on auto market share. As we apply the availability of data to the market, and take advantage of auto-correlation of the market-related information and the sentiment, the findings will be a huge contribution to other researches on sentiment analysis as well as actual business performances in various ways.

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“…Such a viewpoint focuses on the processes associated with gathering and disseminating competitive information (Vedder, Vanecek, Guynes & Cappel, 1999). Although the past literature highlights the importance of the salesperson's role in various CI activities and establishes the link between salespeople and CI, its focus is restricted to the organisational and managerial factors that may encourage salespeople's involvement in CI activities.…”

Section: Tactical Use Of CImentioning

confidence: 99%