Yanto Chandra – författare

This book offers the first exploration into the development of social enterprises in the Greater China region, consisting of Hong Kong, Macau, Taiwan and Mainland China. By drawing on the research and experience of over a dozen scholars and practitioners from across the area, it offers a picture of how a strong State can play an important role as a catalyst in developing the social entrepreneurship sector, particularly by legitimizing it. It delves into the role and impact of institutions and policy on the development of social enterprises, and explains how micro and macro factors might interact in influencing social entrepreneurship. Structured in two parts – policy and cases – it reveals the historical development of the Social enterprises sector in the Chinese context and then illustrates this using cases studies. Providing an alternative view of social entrepreneurship by highlighting the importance of context in this new sector, the book questions whether or not social entrepreneurship is preferable to more conventional models of development.

Sparking new interest and offering fresh insight into social entrepreneurship in the Greater China region, this book will be useful to students and scholars of Chinese Studies, Business Studies and Sociology.

This book offers the first exploration into the development of social enterprises in the Greater China region, consisting of Hong Kong, Macau, Taiwan and Mainland China. By drawing on the research and experience of over a dozen scholars and practitioners from across the area, it offers a picture of how a strong State can play an important role as a catalyst in developing the social entrepreneurship sector, particularly by legitimizing it. It delves into the role and impact of institutions and policy on the development of social enterprises, and explains how micro and macro factors might interact in influencing social entrepreneurship. Structured in two parts – policy and cases – it reveals the historical development of the Social enterprises sector in the Chinese context and then illustrates this using cases studies. Providing an alternative view of social entrepreneurship by highlighting the importance of context in this new sector, the book questions whether or not social entrepreneurship is preferable to more conventional models of development.

Sparking new interest and offering fresh insight into social entrepreneurship in the Greater China region, this book will be useful to students and scholars of Chinese Studies, Business Studies and Sociology.

"At long last! We now have a qualitative data-analysis approach that enhances the use of a systematic methodology for conducting qualitative research. Chandra and Shang should be applauded for making our research lives a lot easier. And to top it all off, it’s free."

Dennis Gioia, Robert & Judith Auritt Klein Professor of Management, Smeal College of Business at Penn State University, USA

“While we have a growing library of books on qualitative data analysis, this new volume provides a much needed new perspective. By combining a sophisticated understanding of qualitative research with an impressive command of R, the authors provide an important new toolkit for qualitative researchers that will improve the depth and rigor of their data analysis. And given that R is open source and freely available, their approach solves the all too common problem of access that arises from the prohibitive cost of more traditional qualitative data analysis software. Students and seasoned researchers alike should take note!”

Nelson Phillips, Abu Dhabi Chamber Chair in Strategy and Innovation, Imperial College Business School, United Kingdom 

"This helpful book does what it sets out to do: offers a guide for systematizing and building a trail of evidence by integrating RQDA with the Gioia approach to analyzing inductive data. The authors provide easy-to-follow yet detailed instructions underpinned by sound logic, explanations and examples. The book makes me want to go back to my old data and start over!"

Nicole Coviello, Lazaridis Research Professor, Wilfrid Laurier University, Canada

"Qualitative Research Using R: A Systematic Approach guides aspiring researchers through the process of conducting a qualitative study with the assistance of the R programming language. It is the only textbook that offers “click‐by-click” instruction in how to use RQDA software to carry out analysis. This book will undoubtedly serve as a useful resource for those interested in learning more about R as applied to qualitative or mixed methods data analysis. Helpful as well is the six‐step procedure for carrying out a grounded‐theory type study (the “Gioia approach”) with the support of RQDA software, making it a comprehensive resource for those interested in innovative qualitative methods and uses of CAQDAS tools."

Trena M. Paulus, Professor of Education, University of Georgia, USA

This book delivers a user guide reference for researchers seeking to build their capabilities in conducting discrete choice experiment (DCE). The book is born out of the observation of the growing popularity  –  but lack of understanding – of the techniques to investigate preferences. It acknowledges that these broader decision-making processes are often difficult, or sometimes, impossible to study using conventional methods. While DCE is more mature in certain fields, it is relatively new in disciplines within social and managerial sciences. This text addresses these gaps as the first ‘how-to’ handbook that discusses the design and application of DCE methodology using R for social and managerial science research. Whereas existing books on DCE are either research monographs or largely focused on technical aspects, this book offers a step-by-step application of DCE in R, underpinned by a theoretical discussion on the strengths and weaknesses of the DCE approach, with supporting examples of best practices. Relevant to a broad spectrum of emerging and established researchers who are interested in experimental research techniques, particularly those that pertain to the measurements of preferences and decision-making, it is also useful to policymakers, government officials, and NGOs working in social scientific spaces.