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Ghada Refaat

Basic information

Name : Ghada Refaat
Title: Associate Professors of Management Information Systems
Google Schoolar Link
Personal Info: Associate Professors of Management Information Systems (MIS) at Faculty of Commerce & Business Administration

Education

Certificate Major University Year
PhD Philosophy, Information technology Brunel University 2006
Masters Science, Information technology Nottingham University 1999
Diploma Information Engineering Information Technology Institute 1994
Bachelor Electronics and Communication Cairo University 1991

Teaching Experience

Name of Organization Position From Date To Date
Graduate School of Education - AUC lecturer 01/06/2011 31/08/2012
Department of Business & Information Systems - French University in Egypt Lecturer 01/09/2008 31/07/2012
USAID Funded Projects Information Systems & Monitoring & Evaluation Director 01/07/1998 31/07/2012

Researches /Publications

Improving Relevance of Information Retrieval Systems and User’s Preferred Search Language - 01/1

Ghada Refaat Mohamed Elsaid

01/10/2017

Purpose: Enhancing relevance of search results is becoming a crucial challenge for search engines. Collection of implicit and explicit feedback as indicators of search result relevancy is currently a growing interest in information systems research. The current study pioneered investigation the users’ preferred search language effect on the relationship between a number of implicit indicators (dwell time, number of clicks, and amount of scrolling) and user explicit rating. Methodology: A lab experiment was conducted included 48 Arabic native speakers divided in 2 groups, where only one group was given the option to select a preferred search language. Implicit feedbacks were collected via recording software, while participants performing a self-pre-defined search task. Implicit data were compared with the explicit rating of search result relevance, completed by the users via a five point scale. The effect of preferred language on the relationship between implicit and explicit data was assessed for the two groups using correlation significance testing. Findings: The study suggested cost-effective method for understanding user behavior in the context of multi- languages search-based recommender systems through the use of implicit feedback. The study verified the power of dwell time, number of clicks, and amount of scrolling in the prediction of search results relevance. The study suggested that this power is strengthened when users are given the option to select a preferred search language. The current results also suggest that using various user feedback within the same context, such as number of clicks and amount of scrolling, provides advantages over using dwell time alone, confirming the prediction strength of these implicit constructs over dwell time. Finally, the present study suggests that the prediction performance of dwell time varies from factual to intellectual task type. The results of the present study can contribute to a improve search result relevance for search-based systems.

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A Suggested Cloud Computing-Base E-commerce Adoption Model for Developing Countries - 01/0

Ghada Refaat Mohamed Elsaid

01/09/2017

E-commerce can play a major role in boosting economics of developing countries, however, in these countries; e-commerce adoption is still under developed. While cloud computing technology uplift e-commerce in some communities, by providing access to low cost internet-based infrastructure; little is known about cloud computing use for e-commerce in developing countries. This paper suggests a cloud computing-based e-commerce adoption model, collecting survey data from managing directors of 175 ICT companies in a developing country. Organization’s awareness of potential benefits and risks of this technology, as well as organization’s technological, business, and manpower resources and compatibility of these resources with cloud computing technologies, were all found to be significant predictors of e-commerce adoption. Governmental support in terms of legal and telecommunication infrastructure, also credibility of local cloud service providers, were both found to be significantly affecting cloud computing-based e-commerce adoption. Small and medium firms were found to be more ready to adopt cloud computing e-commerce, where return on investment was found to be higher when compared with large firms. Firms linked to global customers and international business partners were most likely to spearhead of the cloud e-commerce even if this is not the cheapest option. Practical implications for government, service providers, and business managers were discussed.

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Understanding How Learners Use Massive Open Online Courses and Why They Drop Out: Thematic Analysis of an Interview Study in a Developing Country - 01/0

Ghada Refaat Mohamed Elsaid

01/05/2017

This paper presents a qualitative study on Massive Open Online Courses use in a developing world context. Data was collected from 52 undergraduate and postgraduate learners via semi structured interviews. Learners were encouraged to select from various platforms according to their preference, and to actually register to the course as part of a self-learning activity. Interviewing sessions were conducted eight weeks after the participants’ registration, thematic analysis technique was used aiming to reveal their authentic learning experience concerning dropout. The findings support the applicability of a number of suggested factors from previous studies on retention for E-learning in general and for Massive Open Online Courses specifically, such Course Design, Technology Employment, Interactivity and Rapidity. However, results of this research uncover the importance of additional factors such as: Learner Control, where users can design their own long term learning track from various course modules. Novel design factors were also uncovered in this research such as: Integrative Design to comprise learners’ own accounts on web2.0 and social media; as well as, Independent Design, where course’s modules can be taught separately and learners need not to complete an overall course, rather pick modules from various courses. Mobility and Language are identified as important decisive factor for users to dropout/ completion on Massive Open Online Courses. This research also highlights the importance of Diversity and Novelty for this type of E-learning application. The research reveals the Multitasking Behavior of users, leading to the need of Easy to Scan contents. The findings provide a basis for improving the understanding towards reasons for Massive Open Online Courses drop out and suggest a number of practical design recommendations for designers and providers.

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Hone, K. and El Said, G., R. (2016). Exploring the Factors Affecting MOOC Retention; A Survey Study. Computers & Education, Vol. 98, Issue 1, April 2016, Pages 157–168. ELSEVIER publication, ISSN: 0360-1315. - 01/0

Ghada Refaat Mohamed Elsaid

Kate Hone & Ghada R. El Said

01/04/2016

opportunities to a global audience. However, evidence suggests that only a small proportion of MOOC participants go on to complete their courses and relatively little is understood about the MOOC design and implementation factors that influence retention. This paper reports a survey study of 379 participants enrolled at university in Cairo who were encouraged to take a MOOC of their own choice as part of their development. 122 participants (32.2%) went onto to complete an entire course. There were no significant differences in completion rates by gender, level of study (undergraduate or postgraduate) or MOOC platform. A post-MOOC survey of students' perceptions found that MOOC Course Content was a significant predictor of MOOC retention, with the relationship mediated by the effect of content on the Perceived Effectiveness of the course. Interaction with the instructor of the MOOC was also found to be significant predictor of MOOC retention. Overall these constructs explained 79% of the variance in MOOC retention.

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Understanding Knowledge Management System antecedents of performance impact: Extending the Task-technology Fit Model with intention to share knowledge construct. Future Business Journal, Vol. 1, No. 1, December 2015, article in press, ELSEVIER publication, SSN: 2314-7210 - 01/0

Ghada Refaat Mohamed Elsaid

01/01/2015

Little investigations have been made to examine the effect of employees׳ intention to share knowledge on Knowledge Management Systems’ (KMS) use, lack of contribution from users has been listed as a failure factor for KMS. Researchers generally assess KMS by frequency of use, disregarding system impact on employees׳ performance, despite its impact on the system׳s long-term success. This paper contributes to KMS research by extending Task Technology Fit (TTF), a model which is widely employed to study KMS, with the intention to share knowledge construct, in investigating the determinants of KMS performance impact. The paper starts with exploratory study, where interviews were conducted with a sample of KM users to explore possible constructs. In light of the interview results, a research hypothetical model was built integrating system and task characteristics constructs of TTF model. To validate the model, a survey was then conducted with 95 administration and technical staff of different managerial levels, for two different Knowledge Management Systems in two organizations. Intention to share knowledge, task characteristics, perceived Task Technology Fit, KMS characteristics, and utilization were found to have substantial influences on KMS performance impact. Among the key factors, intention to share knowledge was found to be especially important as it positively and significantly affects perceived Task Technology Fit, utilization, and KMS performance impact. The suggested integrated model helps for better understanding of KMS from the perspective of users’ motivation, system design, and tasks. This paper contributes-with academic and practical implications for KMS researchers, developers, and managers.

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Awards

Award Donor Date
Main Reviewer for papers of the International Conference on Information Systems 2015. Main Reviewer for papers of the International Conference on Information Systems 2015. 2015
Academy for Education Development (AED) Employee Yearly Award Academy of Educational Development - AED - United States 2004
Master of Science Award School of Computer Science and Information Technology - Nottingham University - United Kingdom 1999
Software Skills Development Program Diploma Award Information Technology Institute - Cairo 1994

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