Analysis of the Effect of Competitive Intelligence on Strategic Decision Making in Small and Medium-Sized Food Enterprises

Document Type : Original Research

Authors

Department of Management, Faculty of Humanities Science, University of Science and Culture, Tehran, Iran

Abstract

The main goal of this study was to analyze the relationship between competitive intelligence (CI) and strategic decision-making and its six aspects such as quality, agility, flexibility, integration, effectiveness and efficiency in small and medium-sized food enterprises in Iran. This was an empirical study in which we searched to prove that competitive intelligence elevates the process of managing and making important decisions to a higher level. In this study, a conceptual model was developed to demonstrate the effect of CI on strategic decisions. The statistical population estimated at 90 senior managers from top small and medium-sized food enterprises in Iran, and based on the Cochran formula, the sample of this research included 73 managers of the SMEs in Iran food industry We used factor loading, path analysis, t-value, and Probability value (p-value) to analyze the data. The study's results indicated that CI could help with strategic decisions and significantly affect considered strategic decision's sides. Based on the t-value’s findings, CI had the most impact on the quality, flexibility, and effectiveness of the strategic decision-making, 15.139, 12.868, and 11.641, respectively. Therefore, CI acts as a support system to develop strategic decisions.

Keywords

Main Subjects


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©2022 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.

Adidam, P. T., Banerjee, M., & Shukla, P. (2012). Competitive intelligence and firm's performance in emerging markets: an exploratory study in India. Journal of Business & Industrial Marketing.
Afolayan, A. O., & de la Harpe, A. C. (2020). The role of evaluation in SMMEs’ strategic decision-making on new technology adoption. Technology Analysis & Strategic Management, 32(6), 697-710.
Aghaei, M., & Asadollahi, A. (2013). Analysis of business intelligence on strategic decision making. International Journal of Scientific Management and Development, 2(1), 20-35.
Appiah‐Adu, K., Fyall, A., & Singh, S. (2001). Marketing effectiveness and business performance in the financial services industry. Journal of Services Marketing, 15(1), 18-34.
Buehring, J., & Bishop, P. C. (2020). Foresight and Design: New Support for Strategic Decision Making. She Ji: The Journal of Design, Economics, and Innovation, 6(3), 408-432.
Bushovska, L., Poplavska, O., Liubokhynets, L., & Tanasiienko, N. (2019). An Optimization Multicriteria Model Of Managerial Decision Making About The Efficiency Of Choice Of The Enterprises’ Strategic Assets. 6th International Conference on Strategies, Models and Technologies of Economic Systems Management (SMTESM 2019),
Colakoglu, T. (2011). The problematic of competitive intelligence: How to evaluate& develop competitive intelligence? Procedia-Social and Behavioral Sciences, 24, 1615-1623.
de Almeida, F. C., Lesca, H., & Canton, A. W. (2016). Intrinsic motivation for knowledge sharing–competitive intelligence process in a telecom company. Journal of knowledge management.
Desmet, D., Duncan, E., Scanlan, J., & Singer, M. (2015). Six building blocks for creating a high-performing digital enterprise.
Domashova, J., & Zasypkina, A. (2021). Detection of non-typical users of the electronic marketplace" Freight transportation" to prevent the competitive intelligence. Procedia Computer Science, 190, 210-216.
Dukić, B., Bara, D., & Dukić, S. (2016). Impact of right-time business intelligence tools on efficiency in decision making. Tehnički glasnik, 10(1-2), 1-8.
Elali, W. (2021). The importance of strategic agility to business survival during corona crisis and beyond. International Journal of Business Ethics and Governance, 1-8.
Elbanna, S. (2018). The constructive aspect of political behavior in strategic decision-making: The role of diversity. European management journal, 36(5), 616-626.
Global, PWC. 22nd Annual Global Ceo Survey. 2019.
Hlavatý, J., & Ližbetin, J. (2021). The Use of the Art of War Ideas in the Strategic Decision-making of the Company. Transportation Research Procedia, 55, 1273-1280.
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic management journal, 20(2), 195-204.
Köseoglu, M. A., Yick, M. Y. Y., & Okumus, F. (2021). Coopetition strategies for competitive intelligence practices-evidence from full-service hotels. International Journal of Hospitality Management, 99, 103049.
Lazer, D. M., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., Metzger, M. J., Nyhan, B., Pennycook, G., & Rothschild, D. (2018). The science of fake news. Science, 359 (6380), 1094-1096.
Liu, F., Jarrett, M., & Maitlis, S. (2021). Top management team constellations and their implications for strategic decision making. The Leadership Quarterly, 101510.
Lleras, C. (2005). Path analysis. Encyclopedia of social measurement, 3 (1), 25-30.
López-Robles, J. R., Otegi-Olaso, J. R., Gómez, I. P., & Cobo, M. J. (2019). 30 years of intelligence models in management and business: A bibliometric review. International Journal of Information Management, 48, 22-38.
López-Robles, J. R., Otegi-Olaso, J. R., Porto-Gómez, I., Gamboa-Rosales, H., & Gamboa-Rosales, N. K. (2020). Understanding the intellectual structure and evolution of Competitive Intelligence: A bibliometric analysis from 1984 to 2017. Technology Analysis & Strategic Management, 32(5), 604-619.
Luffman, G., Lea, E., Sanderson, S., & Kenny, B. (1996). Strategic management: An analytical introduction. Tyndale House.
Madureira, L., Popovič, A., & Castelli, M. (2021). Competitive intelligence: A unified view and modular definition. Technological Forecasting and Social Change, 173, 121086.
Meissner, P., Poensgen, C., & Wulf, T. (2021). How hot cognition can lead us astray: The effect of anger on strategic decision making. European management journal, 39(4), 434-444.
Negash, S., & Gray, P. (2008). Business intelligence. In Handbook on decision support systems 2 (pp. 175-193). Springer.
Netz, J., Svensson, M., & Brundin, E. (2020). Business disruptions and affective reactions: A strategy-as-practice perspective on fast strategic decision making. Long Range Planning, 53(5), 101910.
Nwokah, N. G., & Ondukwu, F. (2009). Competitive intelligence and marketing effectiveness in corporate organizations in Nigeria. African Journal of Marketing Management, 1(1), 010-022.
Papulova, Z., & Gazova, A. (2016). Role of strategic analysis in strategic decision-making. Procedia Economics and Finance, 39, 571-579.
Prange, C. I. (2020). Strategic agility–decision-making beyond speed. Academy of Management Proceedings,
Ranjan, J., & Foropon, C. (2021). Big data analytics in building the competitive intelligence of organizations. International Journal of Information Management, 56, 102231.
Silva, J., Pacheco, L. d. C. V., Negrete, K. P., Niño, J. C., Lezama, O. B. P., & Varela, N. (2019). Design and development of a custom system of technology surveillance and competitive intelligence in SMEs. Procedia Computer Science, 151, 1231-1236.
Stefanikova, Ľ., Rypakova, M., & Moravcikova, K. (2015). The impact of competitive intelligence on sustainable growth of the enterprises. Procedia Economics and Finance, 26, 209-214.
Treffers, T., Klarner, P., & Huy, Q. N. (2020). Emotions, time, and strategy: The effects of happiness and sadness on strategic decision-making under time constraints. Long Range Planning, 53(5), 101954.
Trunk, A., Birkel, H., & Hartmann, E. (2020). On the current state of combining human and artificial intelligence for strategic organizational decision making. Business Research, 13(3), 875-919.
Vecchiato, R., & Roveda, C. (2010). Strategic foresight in corporate organizations: Handling the effect and response uncertainty of technology and social drivers of change. Technological Forecasting and Social Change, 77(9), 1527-1539.