Economic Intelligence in Support of Diversification: what Effects Characterize the Pharmaceutical Industry?

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Published: Jun 30, 2023
DOI: https://doi.org/10.58205/fber.v7i2.1723
Keywords:
Economic intelligence, diversification, pharmaceutical industry sector.

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Mohamed Ali Meroudj
Permanan Laboratory, École des hautes études commerciales (HEC Alger)
Azzedine Ibrahim Kerkoub
Permanan Laboratory, École des hautes études commerciales (HEC Alger)

Abstract

Nowadays, information has become a critical value-added resource for all companies that want to maintain their stability and sustainability for as long as possible, because the environment in which they evaluate is increasingly characterized by a constantly increasing and intensifying complexity and competitiveness. As a result, companies must explore innovative techniques for gathering relevant information; that facilitates their management while also enabling them to support and implement their strategic orientations.


       The current study intends to investigate the relationships between two crucial concepts for contemporary companies: economic intelligence as a strategy for information acquisition and diversification as an approach to strategic planning. As an empirical field, we performed our research using industrial companies in the Algerian pharmaceutical sector.


       The findings indicate the presence of effects between the adoption of diversification and economic intelligence practices.


 

Article Details

How to Cite
Meroudj, M. A., & Kerkoub, A. I. (2023). Economic Intelligence in Support of Diversification: what Effects Characterize the Pharmaceutical Industry?. Finance and Business Economies Review, 7(2), 23–40. https://doi.org/10.58205/fber.v7i2.1723
Issue
Vol. 7 No. 2 (2023)
Section
Articles

References

- Ashrafi, A., Ravasan, A. Z., Trkman, P., & Afshari, S. (2019). The role of business analytics capabilities in bolstering firms’ agility and performance. International Journal of Information Management, 47, 1-15.

- Bag, S., Gupta, S., Kumar, A., & Sivarajah, U. (2021). An Integrated Artificial Intelligence Framework For Knowledge Creation And B2B Marketing Rational Decision Making For Improving Firm Performance. Industrial Marketing Management: vol 92, 178-189.

- Benzidia, S., Makaoui, N., & Bentahar, O. (2021). The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance. Technological forecasting and social change, 165, 120557.

- Chen, C., Kim, J.-B., & Yao, L. (2017). Earnings smoothing: does it exacerbate or constrain stock price crash risk? Journal of Corporate Finance, 42, 36-54.

- Chen, Y. S., Lin, M. J. J., & Chang, C. H. (2009). The positive effects of relationship learning and absorptive capacity on innovation performance and competitive advantage in industrial markets. Industrial marketing management, 38(02), 152-158.

- DGIEEP. (2010). Document de référence 2010 de la formation en intelligence économique en Algérie Direction Générale de l’Intelligence Economique, des Etudes et de la Prospective / Ministère de l’Industrie, de la Petite et Moyenne Entreprise et de la Promotion de l’Investissement / RADP (DZ).

- Gloaguen, P. (2014). LE GUIDE DE L’INTELLIGENCE ÉCONOMIQUE: HACHETTE LIVRE (Hachette Tourisme).

- Gupta, M., & George, J. F. (2016). Toward The Development Of A Big Data Analytics Capability: Information & Management, 53(8), 1049-1064.

- Hadjadj, C. (2020). Etude de l’impact de l’intelligence économique sur la performance et la compétitivité de l’entreprise en Algérie. Thèse de doctorat, Université Djillali Liabes, Sidi Bel-Abbès.

- Hoberg, G., & Phillips, G. (2010). Product market synergies and competition in mergers and acquisitions: A text-based analysis. The Review of Financial Studies, 23(10), 3773-3811.

- Huang, Z. X., Savita, K. S., Dan-yi, L., & Omar, A. H. (2022). The impact of business intelligence on the marketing with emphasis on cooperative learning: Case-study on the insurance companies. Information Processing & Management, 59(2), 102824.

- Hughes, J. S., Liu, J., & Liu, J. (2007). Information asymmetry, diversification, and cost of capital. The accounting review, 82(3), 705-729.

- Kim, G., Shin, B., Kim, K. K., & Lee, H. G. (2011). IT capabilities, process-oriented dynamic capabilities, and firm financial performance. Journal of the association for information systems, 12(7), 487-517.

- Kim, H., Hoskisson, R. E., & Wan, W. P. (2004). Power dependence, diversification strategy, and performance in keiretsu member firms. Strategic Management Journal, 25(7), 613-636.

- Kim, J.-B., Li, Y., & Zhang, L. (2011). Corporate tax avoidance and stock price crash risk: Firm-level analysis. Journal of financial Economics, 100(3), 639-662.

- Leland, H. E. (2007). Financial synergies and the optimal scope of the firm: Implications for mergers, spinoffs, and structured finance. The Journal of finance, 62(2), 765-807.

- Lin, S.-C., & Kim, Y. R. (2020). Diversification strategies and failure rates in the Texas lodging industry: Franchised versus company-operated hotels. International Journal of Hospitality Management, 88, 102525.

- Morgan, N. A., & Rego, L. L. (2009). Brand portfolio strategy and firm performance. Journal of marketing, 73(1), 59-74.

- Rabier, M. R. (2017). Acquisition motives and the distribution of acquisition performance. Strategic Management Journal, 38(13), 2666-2681.

- Sewando, P. T. (2022). Efficacy of risk reducing diversification portfolio strategies among agro-pastoralists in semi-arid area: A modern portfolio theory approach. Journal of Agriculture and Food Research, 7, 100262.

- Torres, R., Sidorova, A., & Jones, M. C. (2018). Enabling firm performance through business intelligence and analytics: A dynamic capabilities perspective. Information & Management, 55(7), 822-839.

- Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J. F., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356-365.

- Wang, N., Liang, H., Zhong, W., Xue, Y., & Xiao, J. (2012). Resource Structuring Or Capability Building? An Empirical Study Of The Business Value Of Information Technology: Of Management Information Systems, 29(2), 325-367.

- Wang, Q., Shen, J., & Ngai, E. W. (2023). Does corporate diversification strategy affect stock price crash risk? International Journal of Production Economics, 258, 108794.

- Xie, Z., Wang, J., & Miao, L. (2021). Big data and emerging market firms’ innovation in an open economy: The diversification strategy perspective. Technological Forecasting and Social Change, 173, 121091.

- Yaqoob, I., Hashem, I. A. T., Gani, A., Mokhtar, S., Ahmed, E., Anuar, N. B., & Vasilakos, A. V. (2016). Big data: From beginning to future. International Journal of Information Management, 36(6), 1231-1247.