University of Grenoble Alpes, France
Ali Fouladkar, 28 years old, a researcher in Big Data field, deals with the concept of Big Data, Weak Signal and Strategic Decision. Information System lecturer at Grenoble Graduate Business School (IAE Grenoble). The purpose of his thesis “Detection and Interpretation of weak signals from big data for a strategic decision : adoption of technology” is to identify which Communities of the Organizing Vision influence the decision of adoption a Big Data technologies to detect weak signals and support strategic decision.In the Bachelor and Master Degree level, he achieved the first rank in his university in the field of Business Management.Ali participated in many Research Days and Round Table related to Big Data issues in USA and France. His researchers presented and cited at high-level international conferences.
Big Data, the energy of the 21st century, the seed of innovative companies. The explosion of the volume of data and the emergence of Big Data drastically modify the decision-making process, particularly the strategic decision. Our research proposes a managerial approach to Big Data through qualitative studies based on the Organizational Vision.Our research analyzes the media and the scientific discourse surrounding Big Data with the objective to define an inter-organizational grid of the adoption of Big Data technologies used to detect weak signals and support the strategic decision. The objective of this research is to identify the Organizing Vision Communities that influence the decision of adoption of Big Data Technologies to detect Weak Signal from huge amount of data to help decision makers opting the best possible strategic decisions and to study how the discourse of the organizing vision influences the adoption decision of these technologies. Our research mainly investigates five sectors: health, financial markets, marketing, energy and security.Our research question is: Which communities of the organizing vision influence the decision of adoption of Big Data technologies to detect weak signals and support strategic decision?Our research based on three studies. The first analyzes the professional media discourse around the concept of Big Data, Weak Signal and Strategic Decision. The second analyzes the systematic literature review on Big Data concept, Weak Signal and Strategic Decision. The third study based on interviews with users, expert and professionals of Big Data, is interested in understanding how and why some Big Data technologies are adopted to detect weak signals and support strategic decision and not others.This research study the influence of different communities of organizing vision specifically on the decision of adoption of Big Data technologies and the contributions of these technologies to detect weak signals and support strategic decision.