Synopsis
This book gathers high-quality research papers presented at the 2nd AUE international research conference, AUEIRC 2018, which was organized by the American University in the Emirates, Dubai, and held on November 13th-15th, 2018. The book is broadly divided into two main sections: Sustainability and Smart Business, and Sustainability and Creative Industries. The broad range of topics covered under these sections includes: risk assessment in agriculture, corporate social responsibility and the role of intermediaries, the impact of privatizing health insurance, political events and their effect on foreign currency exchange, the effect of sustainable HR practices on financial performance, sustainability integration in the supply chain and logistics, gender inequality in the MENA economies, the panel data model, the model of sustainable marketing in the era of Industry 4.0, micro-enterprises as a tool for combating unemployment, the impact of financial education and control on financial behavior, measuring financial and asset performance in agricultural firms, a comprehensive strategic approach to sustainability in the UAE, sustainability and project finance, HR analytics, FaD or fashion for organizational sustainability, a conceptual framework of sustainable competitive advantages, psychology of organizational sustainability, Blockchain technology and sustainability, veganism and sustainability, institution building from an emotional intelligence perspective, sustainable concrete production using CWP, occupants’ behavior and energy usage in Emirati houses, the effect of shop lighting on consumer behavior, multimedia applications in digital transformation art, integrating biomimicry principles in sustainable architecture, experimental sustainable practices in fashion education, technology-assisted student-centered learning for civil engineering, and a 10-step design process for architectural design studios. All contributions present high-quality original research work, findings and lessons learned in practical development.
About the Author
Dr. Ahmed N. AL-Masri
An Associate Professor in the College of Computer Information Technology at the American University in the Emirates. He earned his PhD from the University Putra Malaysia. He has over 10 years’ experience in teaching and research in Educational Data Analytics Technologies, Electrical Engineering, IoT and Artificial Intelligence. He is a regular editor of various journals specializing in data analysis. His current research interests include E-Learning, Internet of Things (IoT), machine learning and data mining. Dr. Ahmed is a member of the Institute of Electrical and Electronic Engineers (IEEE).
Prof. Dr. Yousef Al-Assaf
Professor, President of Rochester Institute of Technology- Dubai. Dr. Al-Assaf had his PhD from Oxford University and leadership training from Cornell University. He is a widely published and academic and senior education management professional with extensive international experience. He is currently President of Rochester Institute of Technology- Dubai, a leading not for profit international branch of RIT Rochester, New York. RIT Dubai University is established in conjunction with the Dubai Government in Dubai Silicon Oasis. Prior to this, he was Dean of the College of Engineering at the American University of Sharjah where he was one of the founding members of the electrical engineering and computer engineering programs. During his tenure at RIT Dubai, he has ensured that the university plays a major role in the ecosystem of Dubai Silicon Oasis and supporting the achievements of Dubai vision. Introduced a number of new programs, certifications, and initiatives to meet the needs of public and technology partners including Smart City Sciences, Data Analytics, Emerging Technologies, Corporate and Customer Happiness, Future Shaping, Computing Security and Sustainability among others. Dr. Al-Assaf research focuses on using soft computing to model and control various industrial, business and medical systems. Applications include materials modeling and classification, prostheses control, industrial quality control, and optimization. His industrial experience is in the areas of adaptive and predictive control, soft computing and industrial instrumentation and control.
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