Unlocking the potential of big data through open innovation on strategic foresight: An empirical analysis

Salih, A.; AL-Sharayah, J.; Abou-Moghli, A.

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International Journal of Data and Network Science

ISSN 2561-8156 (Online) - ISSN 2561-8148 (Print) Quarterly Publication Volume 8 Issue 1 pp. 329-336 , 2024

Unlocking the potential of big data through open innovation on strategic foresight: An empirical analysis Pages 329-336 Download PDF

Authors: Ahmad Ali Salih, Jehan Ali AL-Sharayah, Azzam Abou-Moghli

DOI: 10.5267/j.ijdns.2023.9.021

Keywords: Big data, Strategic foresight, Open innovation, Therapeutic industries, Medical supplies

Abstract: The aim of this study is to examine the impact of Big Data on strategic foresight in the presence of open innovation as a (mediating variable) in the companies of the therapeutic industry and the medical supplies sector in Amman the capital city of Jordan. Out of the (121) companies making up the total of such companies, the study focused on (18) industrial companies that had more than (100) employees in total, however only (11) of those have consented to take part in the study. The study population consisted of (271) employees occupying different jobs (general manager, deputy general manager, unit manager, department manager). Due to the limited size of the population, the entire number of employees were included as participants using the comprehensive survey technique, and the number of returned and validated questionnaires for analysis were (259), representing (95.5%) of the total. In order to determine the study problem, pilot structured interviews were used in a sample of the mentioned companies. The questionnaire was employed as the key tool to measure the study variables through data collection, and the descriptive and inferential statistics methods were used to analyze the collected data, through calculations of the arithmetic mean, standard deviation, t-test and half-segmentation, exploratory and confirmatory factor analysis and the structured equation model using SMART PLS3 for hypothesis testing. The study culminated in several results, the most important of which was evidence that open innovation played a partial mediating role in the relationship between big data and strategic foresight in the companies of the therapeutic industries and medical supplies sector. Accordingly, a set of recommendations were put forward, the most important of which is to increase investment in big data in the companies due to its importance in foreseeing the future. As well as applying open innovation practices and strengthening strategic foresight practices due to its important role in avoiding extensive losses and seizing new opportunities. Highlighting the need to pay attention to open innovation practices that generate ideas and help to have strategic foresight.

How to cite this paper

 Salih, A., AL-Sharayah, J & Abou-Moghli, A. (2024). Unlocking the potential of big data through open innovation on strategic foresight: An empirical analysis.International Journal of Data and Network Science, 8(1), 329-336.

Refrences

Adegbile, A., Sarpong, D., & Meissner, D. (2017). Strategic foresight for innovation management: A review and research agenda. International Journal of Innovation and Technology Management, 14(04), 1750019.
Cook, C. N., Inayatullah, S., Burgman, M. A., Sutherland, W. J., & Wintle, B. A. (2014). Strategic foresight: how planning for the unpredictable can improve environmental decision-making. Trends in Ecology & Evolution, 29(9), 531-541
El Kerdini, S., & Hooge, S. (2013, June). Can strategic foresight and creativity tools be combined? Structuring a conceptual framework for collective exploration of the unknown.
Fahmi, A. M., Khudair, A. H., & Al-Shukri, B. S. (2018). Effect of strategic foresight on the success of healthcare marketing. Indian Journal of Public Health Research & Development, 9(12), 450-455.
Gavetti, G., & Menon, A. (2016). Evolution cum agency: Toward a model of strategic foresight. Strategy Science, 1(3), 207-233.
Hossain, M., Islam, K. Z., Sayeed, M. A., & Kauranen, I. (2016). A comprehensive review of open innovation literature. Journal of Science & Technology Policy Management, 7(1), 2-25.
Iden, J., Methlie, L. B., & Christensen, G. E. (2017). The nature of strategic foresight research: A systematic literature review. Technological Forecasting and Social Change, 116, 87-97.
Kayser, V., & Blind, K. (2017). Extending the knowledge base of foresight: The contribution of text mining. Technological Forecasting and Social Change, 116, 208-215.
Müller, O., Fay, M., & vom Brocke, J. (2018). The effect of big data and analytics on firm performance: An econometric analysis considering industry characteristics. Journal of Management Information Systems, 35(2), 488-509.
Natalicchio, A., Ardito, L., Savino, T., & Albino, V. (2017). Managing knowledge assets for open innovation: a systematic literature review. Journal of Knowledge Management, 21(6), 1362-1383.
Prahalad, C. K., & Ramaswamy, V. (2004). The future of competition: Co-creating unique value with customers. Harvard Business Press.
Reimers-Hild, C. (2018). Strategic foresight, leadership, and the future of rural healthcare staffing in the United States. Jaapa, 31(5), 44.
Reschke, C. H. (2010). Creative Destruction, Bureaucratic Organization, or Evolutionary Recombination? An Exercise in Strategic Foresight Based on the History of the Bio-Pharmaceutical Industry. An Exercise in Strategic Foresight Based on the History of the Bio-Pharmaceutical Industry (March 15, 2010).
Reschke, C. H. (2010). Risk-identification and strategic foresight based on history, management and complex systems perspectives-the example of the bio-pharmaceutical industry. In DRUID Summer Conference: Opening Up Innovation: Strategy, Organization and Technology (pp. 16-18). Imperial College London Business School.
Saebi, T., & Foss, N. J. (2015). Business models for open innovation: Matching heterogeneous open innovation strategies with business model dimensions. European Management Journal, 33(3), 201-213.
Vecchiato, R. (2015). Creating value through foresight: First mover advantages and strategic agility. Technological Forecasting and Social Change, 101, 25-36
Wiener, M., Gattringer, R., & Strehl, F. (2015, September). Open Foresight in the Front-End of an Open Innovation Process. In Proceedings of the 16th International CINet Conference on Pursuing Innovation Leadership (pp. 956-967).
www.aci.org.jo (2020)(8:00pm/22-11)
Zhong, R. Y., Huang, G. Q., Lan, S., Dai, Q. Y., Chen, X., & Zhang, T. (2015). A big data approach for logistics trajectory discovery from RFID-enabled production data. International Journal of Production Economics, 165, 260-272.