@conference { ISI:000381172301147, title = {An Example of a Big Data Solution Implementation}, 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 = {3263-3265}, abstract = {Over the last decade, digital data has known an incredible growth. Several businesses have taken advantage of this data abundance, and have moved their decision making strategy from hypothesis driven to data driven approaches. Therefore, new solutions are needed to store and access this big data, then infer knowledge out of it and make it available to managers. In this paper, we will discuss briefly the different issues that should be taken into consideration for implementing a Big Data framework in companies. Then a solution implementation for a Middle East gas and oil distribution company will be presented.}, isbn = {978-0-9860419-6-9}, author = {Benbrahim, Houda and Khalaf, Ilias and Kassou, Ismail}, editor = {Soliman, KS} } @conference { ISI:000381172301152, title = {Improving Recommendations Using Context from Users{\textquoteright} Reviews}, 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 = {3312-3315}, abstract = {Recommender systems enable E-commerce websites to improve their sales by suggesting relevant items to customers. If considering the context of buying situations, more accurate recommendations can be computed. In this paper, we discuss the issue of using the contextual information contained in users{\textquoteright} reviews in order to improve recommendation.}, isbn = {978-0-9860419-6-9}, author = {Zahra Lahlou, Fatima and Benbrahim, Houda and Kassou, Ismail}, editor = {Soliman, KS} } @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:000381172301090, title = {Towards A Reference Model for Knowledge Management Performance Measurement}, 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 = {2744-2755}, abstract = {Knowledge Management (KM) projects are socio-technical systems that enable knowledge activities and ensure that the right knowledge gets to the right person at the right time. The growing number of KM applications confirms the need for a performance measurement model able to assess the diversity of KM initiatives in order to rationalize their usage. To the best of our knowledge, a generic KM model for performance measurement fitting any kind of KM projects is missing in the literature. Instead, existing approaches are specific to a particular KM project or assess the overall KM of the organization. In this paper, we propose a KM model for performance measurement that is built on existing KM models literature and enhanced with theoretical findings. It also follows the reference modelling design process in view of producing a high quality model.}, isbn = {978-0-9860419-6-9}, author = {Oufkir, Latifa and Fredj, Mounia 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} }