This book employs the modern econometric approaches such as DEA, Malmquist Index and Tobit models to evaluate research effectiveness and productivity of research-oriented universities in China. On the basis of five-year longitudinal data of more than a hundred “Project 211” universities, this book illustrates the current status of the effectiveness and productivity of research-oriented universities , demonstrating regional differences, exploring dynamic changes and identifying underlying factors. Any researcher or policymaker who cares about the recent development in Chinese higher education in the 21st century will benefit from our in-depth analyses. ​

This handbook covers various areas of Higher Education (HE) in which operations research/management science (OR/MS) techniques are used. Key examples include: international comparisons, university rankings, and rating academic efficiency with Data Envelopment Analysis (DEA); formulating academic strategy with balanced scorecard; budgeting and planning with linear and quadratic models; student forecasting; E-learning evaluation; faculty evaluation with questionnaires and multivariate statistics; marketing for HE; analytic and educational simulation; academic information systems; technology transfer with systems analysis; and examination timetabling. Overviews, case studies and findings on advanced OR/MS applications in various functional areas of HE are included.

The main objective of the ICITMS 2012 is to provide a platform for researchers, engineers, academics and industrial professionals from all over the world to present their research results and development activities in Information Technology and Management Science. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration.

With contributions from several Asia-Pacific countries, this book compares performance and productivity in higher education from the perspective of institutional change. Using multiple methods and datasets and including case studies from Australia, Cambodia, China, Malaysia, India and Japan, the authors focus on shedding light on the efficacy of institutional policies and reforms. The worldwide Gross Enrolment Ratio (GER) in higher education neared 40 per cent in 2020 due to the dramatic increase in enrolments in many developing economies, especially in Asia. This significant increase in the number of students in higher education brings great benefits but requires major ongoing investment by governments around the world. This growth has followed waves of internationalization and marketization, and universities are undergoing substantial change in their organization and character. The goal of many institutional policies and reforms has been better performance and higher productivity. Yet little is known about whether they have achieved this aim. Students, government officials and university leaders all have the right to ask whether the outcomes of higher education justify the costs of running the system. Although increasing attention has been paid to higher education institutions’ management and operation, the study of higher education performance and productivity is still in its relative infancy compared to other enterprises. Written for students and scholars interested in higher education management and productivity, this book will also appeal to government officials and university leaders keen to know more about institutional reform and how to achieve better performance.

This book constitutes the proceedings of the 8th International Conference on Intelligence Science and Big DataEngineering, IScIDE 2018, held in Lanzhou, China, in August 2018.The 59 full papers presented in this book were carefully reviewed and selected from 121 submissions.They are grouped in topical sections on robots and intelligent systems; statistics and learning; deep learning; objects and language; classification and clustering; imaging; and biomedical signal processing.​

This is an open access book. 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022) to be held in Chongqing (Online) on October 14-16, 2022. As the leader of the global trend of scientific and technological innovation, China is constantly creating a more open scientific and technological innovation environment, expanding the depth and breadth of academic cooperation, and building a shared innovation community. These efforts are making new contributions to globalization and building a community with a shared future for mankind. ICEMCI aims to bring together innovative academics and industry experts in Economic Management and Cultural Industry into a common forum. We will discuss and research on areas such as International Economics and Trade, Sustainable Economic Development, Economic Statistics, Economic Policy, The impact of cultural industries on the economy, etc. ICEMCI 2022 also aims to provide a platform for experts, scholars, engineers, technicians and technology R&D personnel to share scientific research results and cutting-edge technologies, understand academic development trends, expand research ideas, strengthen academic research and discussion, and promote cooperation in the industrialization of academic achievements . With the theme "Economic Management and Cultural Industry", ICEMCI 2022 aspires to keeping up with advances and changes to a consistently morphing field. Leading researchers and industry experts from around the globe will be presenting the latest studies through papers, keynote speeches and oral presentations. We warmly invite you to participate in ICEMCI 2022 and look forward to seeing you in Chongqing !

This book provides an insight into the 11th International Conference on Soft Computing for Problem Solving (SocProS 2022). This international conference is a joint technical collaboration of the Soft Computing Research Society and the Indian Institute of Technology Mandi. This book presents the latest achievements and innovations in the interdisciplinary areas of Soft Computing, Machine Learning, and Data Science. It brings together the researchers, engineers, and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial neural network, deep learning, statistical methods, genetic algorithm, and particle swarm optimization) and applications (data mining and clustering, computer vision, medical and healthcare, finance, data envelopment analysis, business, and forecasting applications). This book is beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.