Anjum Razzaque, Ph.D., is an American and British educated academic, who is currently an Assistant Professor of management information systems and is the chairperson of the Management Information Systems department at Ahlia University. Anjum’s research is focused within the Information Systems area where he has published in knowledge management, FinTech, big data analytics, and e-learning. His research got him to publish journal and conference papers, as well as book chapters and edit books. Also, his research has helped him get fellowship and grants from US-funding institutions. Anjum has served as a keynote speaker, conference chair, session chair, and a reviewer; and seeks international research collaborations.
EDUCATION
Brunel University, Business School, London, UK
Ph.D. in Management Studies Research
Dissertation “Assessing physicians’ Virtual Community on Knowledge shared Decision Making”: Dec 2013
New York Institute of Technology, School of Engineering & Computer Science, New York, USA
M.Sc. Computer Science May 2002
Vaughn College of Aeronautics, New York, USA
B.Sc. Computer Design: Vaughn College of Aeronautics & Technology, New York, USA: May 1998
RESEARCH INTERESTS
Management, Information Systems, Obesity, Higher Education Learning and Teaching
The effect of entrepreneurial leadership traits on corporate sustainable development and firm performance: a resource-based view Anjum Razzaque, In Lee, George Mangalaraj European Business Review, 2024 Purpose This study aims to empirically assess entrepreneurial leadership skills’ role in Corporate Sustainable Development (CSD) and firm performance (FP). This study considers five specific entrepreneurial traits: innovativeness, creativity, analytical thinking, emotional intelligence and passion and motivation. The motivation for this investigation stems from concerns over micro-firms vulnerabilities and small and medium enterprises (SMEs) lacking proper leadership skills. This study is guided by the resource-based view theory and conducted during the pandemic, offering insights into firms operating under constrained conditions. Design/methodology/approach Confirmatory factor analysis and structural equation modeling (SEM), were used on survey responses from 321 Bahraini firms. This study’s data collection occurred under environmental uncertainties due to the pandemic and provides a unique context for understanding CSD and entrepreneurial leadership skills under high business/environmental uncertainty. Findings The findings reveal that entrepreneurial leadership skills positively impact CSD and firm performance through creativity, passion and motivation. However, innovativeness negatively affects CSD and FP. Furthermore, CSD positively influences firm performance. Research limitations/implications Theoretical and practical implications, plus limitations, are also discussed in this study. Practical implications Understanding entrepreneurial leadership skills effect on CSD and firm performance in SMEs is important as SEMs are prone to fail in the early years. This study’s findings and its implications help guide SME leaders in furthering their entrepreneurial leadership skills to foster CSD and firm performance. Originality/value This study contributes to comprehending the crucial role of entrepreneurial skills, during uncertain times of the pandemic, for SMEs’ survival. It provides valuable insights for firms operating in competitive environments, offering a unique perspective on the required entrepreneurial skills and their effect on CSD and firm performance.
Preface Lecture Notes in Networks and Systems, 2023
Artificial intelligence based multinational corporate model for EHR interoperability on an e-health platform Anjum Razzaque, Allam Hamdan Studies in Computational Intelligence, 2021 This study explores the improvement of efficiency in e-Health by standardizing access to electronic health records (EHRs). Without overlaid organizations, EHR will remain an uneven and fragmented network of lagging systems unable to achieve accuracy and consistency, thus efficiencies. A multinational corporation (MNC) model is proposed to reduce healthcare costs, and implement a coherent system where data, technology and training are uniformly upgraded to alleviate interoperability issues. The conclusion revealed from our review of literature suggests that EHR interoperability issues may be mitigated by creating common architectures that enable fragmented systems to interoperate under supra organizations. As a result, an Artificial Intelligence based model is proposed to facilitate the improvement of the efficacy of e-Health to standardize HER.