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Articles 1 - 7 of 7
Full-Text Articles in Business Intelligence
The Effects Of Covid-19 Crisis On Good Governance At The Local Level, The Case Of Tunisia, Fatma Braham, Sonia Seguir
The Effects Of Covid-19 Crisis On Good Governance At The Local Level, The Case Of Tunisia, Fatma Braham, Sonia Seguir
Journal of the Association of Arab Universities for Research in Higher Education (مجلة اتحاد الجامعات العربية (للبحوث في التعليم العالي
The COVID-19 crisis, in addition to its serious health impact, has negatively affected key socio-economic aggregates and has shocked the strategic planning of all economic and social actors, including local communities. In search of resilient, skillful and intelligent good territorial governance, the municipalities are working to adapt their governance systems to the new social and environmental priorities. This work proposes a new reading of the acquired approaches to good governance, a new paradigm related to the new conjuncture and an assessment of the performance system at the central and local levels
The Mediating Role Of Organizational Political Capital In The Impact Of Competitive Intelligence On Strategic Drift- A Field Study In The Jordanian Commercial Banks In Amman City, Ahmed Ali Salih, Yasir Ibrahim Murad
The Mediating Role Of Organizational Political Capital In The Impact Of Competitive Intelligence On Strategic Drift- A Field Study In The Jordanian Commercial Banks In Amman City, Ahmed Ali Salih, Yasir Ibrahim Murad
Journal of the Association of Arab Universities for Research in Higher Education (مجلة اتحاد الجامعات العربية (للبحوث في التعليم العالي
The study aim to clarify the mediating role of organizational political capital in the effect of competitive intelligence on strategic drift in Jordanian commercial banks in Amman, The study concludes with several results, the most important of which are: the level of competitive intelligence is high, the level of strategic drift is high, the level of organizational political capital is high, and through the results achieved, organizational political capital played a mediating role, and partially, on the impact of competitive intelligence on strategic drift and which has actively contributed the relationship between them. On the light of the results mentioned …
Using Data Mining Techniques To Improving Key Performance Indicators, Assem Khalaf Ahmed Doctorassam@Hotmail.Com, Assem.Khalaf21@Commerce.Helwan.Edu.Eg
Using Data Mining Techniques To Improving Key Performance Indicators, Assem Khalaf Ahmed Doctorassam@Hotmail.Com, Assem.Khalaf21@Commerce.Helwan.Edu.Eg
Future Computing and Informatics Journal
The study provides a framework for improving the most key performance indicators and arranging them according to the degree of impact in order to enhance decision-making, speed and increase accuracy in data analysis, reduce mismanagement and time to take appropriate decisions a timely manner and ensure that the organization is moving towards achieving its goals, through one of the techniques of business intelligence (Data Mining and Knowledge discovery) and choosing the best technique that can be used to improve the key performance indicators.
Enhancing Academic Advising In Credit Hours System Using Dss, Alaa Salah Eldin Ghoneim
Enhancing Academic Advising In Credit Hours System Using Dss, Alaa Salah Eldin Ghoneim
Future Computing and Informatics Journal
Academic advising plays a vital role in achieving higher educational institution’s purposes. Academic advising is a process where an academic advisor decides to select a certain number of courses for a student to register in each semester to fulfil the graduation requirements. This paper presents an Academic Advising Decision Support System (AADSS) to enhance advisors make better decisions regarding their students’ cases. AADSS framework divided into four layers, data preparation layer, data layer, processing layer and decision layer. The testing results from those participating academic advisors and students considered are that AADSS beneficial in enhancing their decision for selecting courses.
Review Of Data Mining Techniques For Detecting Churners In The Telecommunication Industry, Mahmoud Ewieda, Mohamed Ismail Roushdy, Essam Shaaban
Review Of Data Mining Techniques For Detecting Churners In The Telecommunication Industry, Mahmoud Ewieda, Mohamed Ismail Roushdy, Essam Shaaban
Future Computing and Informatics Journal
The telecommunication sector has been developed rapidly and with large amounts of data obtained as a result of increasing in the number of subscribers, modern techniques, data-based applications, and services. As well as better awareness of customer requirements and excellent quality that meets their satisfaction. This satisfaction raises rivalry between firms to maintain the quality of their services and upgrade them. These data can be helpfully extracted for analysis and used for predicting churners. Researchers around the world have conducted important research to understand the uses of Data mining (DM) that can be used to predict customers' churn. This …
Twitter Analysis Based On Damage Detection And Geoparsing For Event Mapping Management, Yasmeen Ali, Khaled Bahnasy, Adel El-Mahdy
Twitter Analysis Based On Damage Detection And Geoparsing For Event Mapping Management, Yasmeen Ali, Khaled Bahnasy, Adel El-Mahdy
Future Computing and Informatics Journal
Background: Early event detection, monitor, and response can significantly decrease the impact of disasters. Lately, the usage of social media for detecting events has displayed hopeful results. Objectives: for event detection and mapping; the tweets will locate and monitor them on a map. This new approach uses grouped geoparsing then scoring for each tweet based on three spatial indicators. Method/Approach: Our approach uses a geoparsing technique to match a location in tweets to geographic locations of multiple-events tweets in Egypt country, administrative subdivision. Thus, additional geographic information acquired from the tweet itself to detect the actual locations that …
The Effect Of Applying Artificial Intelligence In Forming Marketing Strategies On Jordanian Industrial Companies, Khaled Alcheikh
The Effect Of Applying Artificial Intelligence In Forming Marketing Strategies On Jordanian Industrial Companies, Khaled Alcheikh
Al Jinan الجنان
This study aimed at identifying the Effect of Applying Artificial Intelligence in Forming Marketing Strategies of the Jordanian Industrial Companies listed at Amman stock exchange. The study population was all the Industrial Companies listed at Amman stock exchange, and the sample consisted of 65 marketing manager at these companies. Findings of the study showed that there was positive Effects of Applying Artificial Intelligence in Forming Marketing Strategies in terms of cost leadership, differentiation, focus marketing, alliance, diversification, and direct marketing. Based on the mentioned results, the researchers recommended industrial companies to adopt and sustain high tech programs that use Artificial …