@conference { ISI:000381172301104,
	title = {Introduction to Competitive Intelligence: Process, Applications and Tools},
	booktitle = {INNOVATION MANAGEMENT AND EDUCATION EXCELLENCE VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH, VOLS I - VI},
	year = {2016},
	note = {27th International Business Information Management Association Conference, Milan, ITALY, MAY 04-05, 2016},
	pages = {2876-2885},
	abstract = {In the world of excessive business competitiveness, almost every company tries to monitor its environment to exceed the competitors. Getting knowledge about competitors is the basic principal of what is called Competitive Intelligence (CI). Many applications of Competitive Intelligence can be used like Opinion Mining and Foresight studies and the process of obtaining such intelligence differs according to the company{\textquoteright}s needs. In this paper, we will present in more details the definitions of CI and a general process grouping the most used steps in conducting such study. In the end we will present some tools useful in CI.},
	isbn = {978-0-9860419-6-9},
	author = {Amarouche, Kamal and El Akrouchi, Manal and Benbrahim, Houda and Kassou, Ismail},
	editor = {Soliman, KS}
}
@conference { ISI:000360508700103,
	title = {Early Warning Signs Detection in Competitive Intelligence},
	booktitle = {INNOVATION VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH, VOL I-VI},
	year = {2015},
	note = {25th International-Business-Information-Management-Association Conference, Amsterdam, NETHERLANDS, MAY 07-08, 2015},
	pages = {1014-1024},
	publisher = {Int Business Informat Management Assoc},
	organization = {Int Business Informat Management Assoc},
	abstract = {In a world of excessive competitiveness in the business environment, the competitive intelligence activities are widely used to monitor the competitors. Many techniques are used like opinion mining, event detection and foresight studies. Foresight allows studying the future and tries to predict and anticipate future actions. We can find diverse concepts and methodologies with numerous challenging research topics: trends, weak signals, wild cards... This paper will focus on weak signal detection in which we try to find the early warning signs in a performed quantitative and automatic way. It will present a literature review regarding the weak signals analysis terminology along with the processes to detect these signals, techniques, methods and approaches used.},
	isbn = {978-0-9860419-4-5},
	author = {El Akrouchi, Manal and Benbrahim, Houda and Kassou, Ismail},
	editor = {Soliman, KS}
}
