Abstract
New Web 2.0-based technologies have emerged in the field of competitor/marketintelligence. This paper discusses the factors influencing long-term product development,namely coal combustion long-term R&D/Carbon Capture and Storage (CCS) technology, andpresents a new method application for studying it via opinion mining. The technology marketdeployment has been challenged by public acceptance. The media images/opinions of coal powerand CCS are studied through the opinion mining approach with a global machine learning basedmedia analysis using M-Adaptive software. This is a big data-based learning machine mediasentiment analysis focusing on both editorial and social media, including both structured datafrom payable sources and unstructured data from social media. If the public acceptance isignored, it can at its worst cause delayed or abandoned market deployment of long-term energyproduction technologies, accompanied by techno-economic issues. The results are threefold:firstly, it is suggested that this type of methodology can be applied to this type of researchproblem. Secondly, from the case study, it is apparent that CCS is unknown also based on thistype of approach. Finally, poor media exposure may have influenced technology marketdeployment in the case of CCS.
Highlights
EMERGING WEBINTELLIGENCE APPLICATIONS FOR COMPETITOR AND MARKET INTELLIGENCEThe aim of competitive intelligence (CI) is to analyse and exploit information about a company’s competitors and sectors of activity to determine its competitive strategy and to develop new knowledge about its competitors in an increasingly complex and fast-moving economy to maintain levels of innovation and gain a competitive advantage (Amarouche et al 2015)
The results show that Carbon Capture and Storage (CCS) resulted in positive hits mostly in editorial publications and in social media
Public acceptance appears as a clearly essential part of the energy market products’ market deployment, an issue that should be addressed during the early stages of a product life-cycle
Summary
EMERGING WEBINTELLIGENCE APPLICATIONS FOR COMPETITOR AND MARKET INTELLIGENCEThe aim of competitive intelligence (CI) is to analyse and exploit information about a company’s competitors and sectors of activity to determine its competitive strategy and to develop new knowledge about its competitors in an increasingly complex and fast-moving economy to maintain levels of innovation and gain a competitive advantage (Amarouche et al 2015). Information about competitors has mainly been obtained from press releases, analyst reports, and trade journals, and recently from competitors' websites and news sites. Such information is mostly generated by the company that produces the product; the amount of information is limited and its objectivity is questionable (Xu, et al 2010). Competitive intelligence provides the company with a clearer picture of its competitive environment, while the increasingly frequent use of information and communication technologies (ICT), including online shopping sites, blogs, social network sites, and forums, provides incentives for companies to promote their advantages over their competitors (Amarouche et al 2015)
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
