Discrete Choice Experiments Using R

Chapter 1. An Overview of Stated Preference Methods: What and Why.- Chapter 2. A Comparison of Stated Preference Methods.- Chapter 3. Understanding the Fundamentals of DCE Experiment.- Chapter 4. A Review of R and its Applicability DCE.- Chapter 5. Framing the Research Question and Theory.- Chapter 6. Identifying DCE Attributes and Levels.- Chapter 7. Designing DCE Choice Set using R.- Chapter 8. Designing DCE Survey and Collecting Data.- Chapter 9. Analysing DCE Data using R.- Chapter 10. Visualizing and Reporting DCE Data Using R.

Shang Liang, Ph.D., is Research Assistant Professor in the Department of Social Policy and Sociology at the Lingnan University. She obtained her Ph.D. in Public Policy from the City University of Hong Kong in 2020 and was awarded Sir Edward Youde Memorial Fellowship for Postgraduate Research Students in 2019. Prior to joining Lingnan University, she worked as a Post-doctoral Fellow in the Department of Social Work at the Chinese University of Hong Kong and Research Associate at the Centre for Social Policy and Social Entrepreneurship at the Hong Kong Polytechnic University. With a primary research interest centered around the intersection of ethics and entrepreneurship, she focuses on examining the roles, practices, and mechanisms of business ventures with a strong overarching social purpose in contributing to social and environmental sustainability. Beyond this focus, she also has a keen interest in exploring emerging methods in social sciences, such as corpus linguistics and artificial intelligence. Her work has been published in international journals, including Journal of Social Policy, Journal of Business Venturing Insights, VOLUNTAS, among others.Yanto Chandra, Ph.D., is Associate Professor of Management and Policy at the City University of Hong Kong. His research focuses on explaining the drivers, processes, and outcomes of entrepreneurial action and strategy in various contexts--social, digital, and international--and their implications to economy, society, and policy. He is best-known for his work on social ventures, born globals, and more recently on Web3 and AI from management and policy perspectives. His methods of interest include computer-aided text analysis, corpus linguistics, text mining, visual methods, image analysis, and data science using R. He is Associate Editor of Journal of Business Venturing Insights and several other key journals in management. His work has been published in Journal of International Business Studies, Journal ofBusiness