Big Data Analytics in Building the Competitive Intelligence of Organizations |
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| Institution: | 1. Department of IT, IMT Nagpur, India;2. Department of Entrepreneurship, Strategy, Technology, Innovation, Management, Montpellier Business School, Montpellier, France;1. Department of Computer Science, Norwegian University of Science and Technology, Sem Sælandsvei 9, 7491, Trondheim, Norway;2. Faculty of Management, Science, and Technology, Open University, Heerlen, the Netherlands;1. Department of Economics and Management, University of Florence, Via delle Pandette 9 – Block D6, 3rd Floor, 50127 Firenze, Italy;2. Department of Statistics, Computer Science, Applications ''G. Parenti'', University of Florence, Viale Morgagni, 59, 50134 Firenze, Italy;3. Lincoln International Business School, University of Lincoln, Lincoln, Brayford Pool, LN6 7TS Lincoln, UK;4. University of Rome “Universitas Mercatorum”, Piazza Mattei, 10, Roma, Italy;5. National Research University, Moscow, Russian Federation;1. Institute of Artificial Intelligence, Donghua University, Shanghai, China;2. Shanghai Engineering Research Center of Industrial Big Data and Intelligent System, Donghua University, Shanghai, China;3. National Synthetic Fiber Engineering Technology Research Center, Beijing Chonglee Machinery Engineering Co., Ltd, Beijing, China;4. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;5. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong;1. University of Stuttgart, Institute of Entrepreneurship and Innovation Science, Germany;2. Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany;1. GBA Industry Development Research Centre, Guangdong Industry Polytechnic, 152, Xingang Xi Lu, Guangzhou, Guangdong, 510300, PR China;2. School of Business, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, 999078, PR China |
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| Abstract: | Over recent years, organizations have started to capitalize on the significant use of Big Data and emerging technologies to analyze, and gain valuable insights linked to, decision-making processes. The process of Competitive Intelligence (CI) includes monitoring competitors with a view to delivering both actionable and meaningful intelligence to organizations. In this regard, the capacity to leverage and unleash the potential of big data tools and techniques is one of various significant components of successfully steering CI and ultimately infusing such valuable knowledge into CI strategies. In this paper, the authors aim to examine Big Data applications in CI processes within organizations by exploring how organizations deal with Big Data analytics, and this study provides a context for developing Big Data frameworks and process models for CI in organizations. Overall, research findings have indicated a preference for a rather centralized informal process as opposed to a clear formal structure for CI; the use of basic tools for queries, as opposed to reliance on dedicated methods such as advanced machine learning; and the existence of multiple challenges that companies currently face regarding the use of big data analytics in building organizational CI. |
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| Keywords: | Big Data analytics Competitive intelligence Analytical capabilities Competitive advantage |
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