On the relationship between competitive intelligence and innovation
DOI:
https://doi.org/10.37380/jisib.v10i2.583Keywords:
Competitive intelligence, competitive intelligence practices, environmental change, innovationAbstract
Innovation research suggests customer, competitor and market knowledge are important requirements for innovation. Researchers in competitive intelligence (CI) have proposed that there should be a relationship between CI and innovation. Yet despite both fields recognising the need for CI and related areas for innovation in their theories, there have not been many empirical studies that look at CI and innovation and those few studies that do exist have limited focus and have only looked at a small subset of CI variables (for example collection sources). The aim of this study is to examine if there is a relationship between CI and innovation. This was done by surveying Strategic and Competitive Intelligence Professional (SCIP) members and those attending SCIP events, and asking them about their intelligence practices and how innovative their company was. Ninety-five questions were asked about CI structure and organization, intelligence focus, information sources used, analytical techniques used, communication methods, and the management of the intelligence efforts. Of the 95 competitive intelligence measures used in this study, 56 (59%) were significantly correlated with the study’s measure of innovation. The measures within the CI organizational elements and CI management categories had the highest percentage of measures significantly correlated with innovation (90% and 89%). Four of the CI measures had statistically significant correlations above .300. These included the extent to which business decisions in the organization were better facilitated/supported as a result of intelligence efforts (.355), the number of performance measures used in assessing CI’s performance (.322) and decision depth (.313), which is a measure of the number of decisions that utilized CI. As a study of this nature measuring the relationship between CI and innovation has not been conducted previously, the findings can be beneficial to organisations using innovation to succeed in the competitive environment.
References
Calof, J.L. and Skinner, B. 1998. Competitive Intelligence for government officers: a brave new world, Optimum, 28(2):38-42.
Calof, J. Richards, G. and Santilli, P. 2017. Insight through open intelligence. Journal of Intelligence Studies in Business 7 (3) 62-73. Article
Calof, J. Arcos, R. and Sewdass, N. 2018. Competitive intelligence practices of European firms, Technology Analysis & Strategic Management 30(6):658-671, DOI: 10.1080/09537325.2017.1337890
Cerny, J. 2016. Information Needs in Competitive Technical Intelligence. Journal of Systems Integration 1 (2016): 3-12.
Christensen, C.M. Raynor, M. and McDonald, R. 2015. What Is Disruptive Innovation? Harvard Business Review 93(12): 44–53.
Crayon. (2020). State of Competitive Intelligence. Available at: https://www.crayon.co/state-of- competitive-intelligence, accessed 02 May 2019.
Dogan, E. 2017. A strategic approach to innovation. Journal of Management, Marketing and Logistics 4 (3): 290-300.
Duan, Y. Cao, G. and Edwards, J.S. 2020. "Understanding the impact of business analytics on innovation," European Journal of Operational Research 281(3): 673-686.
Du Toit, A. 2015. “Competitive Intelligence Research: An Investigation of Trends in the Literature.” Journal of Intelligence Studies in Business 5 (2): 14–21.
Eidizadeh, R. Salehzadeh, R. and & Ali, C.E. 2017. Analysing the role of business intelligence, knowledge sharing and organisational innovation on gaining competitive advantage. Journal of Workplace Learning 29(4): 250-267. doi: 10.1108/JWL-07-
-0070
Fehringer, D. Hohhof, B. and Johnson, T. (Eds). 2006). State of the art competitive intelligence. Competitive Intelligence Foundation Research Report, Society of Competitive Intelligence Professionals, Alexandria, VA.
Lee, M. and Lee, S. 2017. Identifying new business opportunities from competitor intelligence: An integrated use of patent and trademark databases. Technological Forecasting & Social Change 119: 170–183.
M-Brain, 2020. Market Intelligence Framework. https://www.m-brain.com/market- intelligence-framework/ Accessed on April 25th
Mihaela, M. Sabin, M. and Raluca, B. 2017. Decision Conceptual Model for Innovation Ways using the Competitive Intelligence System. “Ovidius” University Annals, Economic Sciences Series XVII (1): 319-324.
Nemutanzhela, P. and Iyamu, T. 2011. The impact of competitive intelligence on products and services innovation in organizations. Electronic Journal of Information Systems Evaluation 14(2): 242-253
Norling, P.M. Herring, J.P. Rosenkrans, W.A. Stellpflug, M. and Kaufman, S.B. 2000. Putting competitive technology intelligence to work. Research Technology Management 43(5): 23-28.
O.E.C.D (Organization for Economic Cooperation and Development). 2010. Measuring Innovation: A New Perspective. OECD Publishers.
Paap, J. and Katz, R. 2004. Anticipating Disruptive Innovation. Research-Technology Management 47(5): 13-22, DOI: 10.1080/08956308.2004.11671647
Poblano-Ojinaga, E.R. López, R.R. Gómez, J.A.H. and Torres-Arguelles, V. 2019. Effect of competitive intelligence on innovation capability: An exploratory study in Mexican companies. Journal of Intelligence Studies in Business 9(3): 62-67.
Spinolaa, A.T.P., Bezerrab, M.B.P., Gregolina, J.A.R. 2008. Competitive intelligence – Quality function deployment integrated approach to identify innovation opportunities 6(1): 11-17.
Strategic and Competitive Intelligence Professionals (SCIP). SCIP FAQ (www.scip.org)
Tanev, S. and Bailetti, T. 2008. Competitive intelligence information and innovation in small Canadian firms. European Journal of Marketing 42 (7/8): 786-803.
Tahmasebifard, H. 2018. The role of competitive intelligence and its subtypes on achieving market performance. Cogent Business & Management, 5 (2018): 1540073 doi.org/10.1080/23311975.2018.1540073
Tarek, B.H. Adel, G. and Sami, A. 2016. The relationship between 'competitive intelligence' and the internationalization of North African SMEs. Competition & Change 20(5): 326.
Vargas,C.J. Perez,G. and Gimenez, M.F.L. 2017. The use of Competitive Intelligence (CI) by established organisations to help anticipating, understanding and responding to Disruptive Innovations. Journal on Innovation and Sustainability 8 (4): 164-180.
Veugelers, M. Bury, J. and Viaene, S. 2010. Linking technology intelligence to open innovation. Technological Forecasting & Social Change 77: 335–343.
Watts, R.J. Porter, A.L. and Newman, N.1998. Innovation forecasting using bibliometrics. Competitive Intelligence Review 9(4): 11-19.
Zhang, Y. Robinson, D.K.R. Porter, A.L. Zhu, D. Zhang, G. and Lu, J. 2015. Technology road mapping for competitive technical intelligence. Technological Forecasting & Social Change 110: 175–186.
Zhang, Y. Zhang, G. Chen, H. Porter, A.L. Zhu, D. and Lu, J. 2016. Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research. Technological Forecasting and
Social Change 105: 179 - 191. ISSN 0040-1625. DOI 10.1016/j.techfore.2016.01.015.
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