Browsing by Author "Salman Abdou, Doaa"

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Arab Spring future challenges: evidence from Egypt
(Emerald Insight, 2018) Salman Abdou, Doaa; Zaazou, Zeinab
Purpose – This paper aims to shed light on the Egyptian socio-economic and political conditions seven years post the 2011 revolution. Design/methodology/approach – The authors depended on secondary data and information gathered from scholars and from domestic and international institutions as well. Additionally, the authors distributed 390 Likert-scale questionnaires among respondents to test their perceptions regarding the safety, social, political and economic conditions in Egypt seven years post the 2011 revolution. Findings – The research findings confirmed that there was an agreement among participants that the safety conditions in Egypt improved during the past seven years post the 2011 revolution, and there was a general agreement among participants that the political conditions in Egypt became more stable lately. The economic and social cost presents a challenging status to the current decision maker. Practical implications – Finally, authors came up with recommendations aiming to find solutions for certain economic and political problematic issues. The main research limitation is that the representative sample was confined only to the two main governorates in Egypt: Cairo and Giza. Originality/value – Finally, the study is of a value, as it could be considered a road map to policy makers. Moreover, the findings provide a set of policies for governments to undertake tenable actions to accelerate development and economic growth.
Future of Artificial Intelligence: Japan's Path to Growth Email address
(openscience, 2018-07) Salman Abdou, Doaa; Mustafa Kamal, Nadeen .
This paper conducts a research on the importance of Total Factor Productivity (TFP) while focusing on the Artificial Intelligence (AI) trends adapted in Japan. We answer the question of, "Is Japan utilizing AI as a driver for (TFP) or will they incorporate it as a new factor of production?" by looking at the TFP in Japan's booming industries while shedding insight on the governmental mindset of this phenomena. The mission of this paper is to reach a general consensus on TFP and how Japan's incorporation of AI in their factors of production changes the levels of marginal productivity of labor. The objective is to provide policymakers, wage setters and decision makers with a clear correlation between Japan's high TFP and their use of AI.