Handbook of Operations Research and Management Science in Higher Education
Handbook of Operations Research and Management Science in Higher Education
edited by Zilla Sinuany-Stern
- 1st ed. 2021.
- 1 recurso en línea
- International Series in Operations Research & Management Science 309 2214-7934 .
Part I: Reviews/Overviews -- 1. Operations Research and Management Science in Higher Education: An Overview -- 2. A Systematic and Updated Review of the Literature on Higher Education Marketing 2005 -2019 -- 3. Overview of Simulation in Higher Education: Methods and Applications -- 4. Managing Minds: The Challenges of Current Research Information Systems for Improving University Performance -- 5. Forecasting Methods in Higher Education: An Overview -- 6. Survey of Methods for Ranking and Benchmarking Higher Education Institutions -- 7. Balanced Scorecard in Strategic Planning of Higher Education: Review -- 8. System Analysis of Technology Transfer Policies and Models in Higher Education -- 9. Models for Planning and Budgeting in Higher Education -- Part II: New Methodologies -- 10. Funding Research in Higher Education Institutions: The Game Theory Approach -- 11. A Fast Threshold Acceptance Algorithm for the Examination Timetabling Problem -- 12. Robust Efficiency via Average Correlation: The Case of Academic Departments -- Part III: Applications -- 13. Course Evaluation Using Preference Disaggregation Analysis: The Case of an Information Communication Technology Course -- 14. The Application of a Balanced Scorecard in Higher Education Institutions: A Case Study of Wuls -- 15. E-Learning in Times of Crisis: An Incidental or Facilitative Event? -- 16. The Relative Efficiencies of Higher Education in OECD Countries.
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.
9783030740511
10.1007/978-3-030-74051-1 doi
T57.6-.97 / 2021 EB
Part I: Reviews/Overviews -- 1. Operations Research and Management Science in Higher Education: An Overview -- 2. A Systematic and Updated Review of the Literature on Higher Education Marketing 2005 -2019 -- 3. Overview of Simulation in Higher Education: Methods and Applications -- 4. Managing Minds: The Challenges of Current Research Information Systems for Improving University Performance -- 5. Forecasting Methods in Higher Education: An Overview -- 6. Survey of Methods for Ranking and Benchmarking Higher Education Institutions -- 7. Balanced Scorecard in Strategic Planning of Higher Education: Review -- 8. System Analysis of Technology Transfer Policies and Models in Higher Education -- 9. Models for Planning and Budgeting in Higher Education -- Part II: New Methodologies -- 10. Funding Research in Higher Education Institutions: The Game Theory Approach -- 11. A Fast Threshold Acceptance Algorithm for the Examination Timetabling Problem -- 12. Robust Efficiency via Average Correlation: The Case of Academic Departments -- Part III: Applications -- 13. Course Evaluation Using Preference Disaggregation Analysis: The Case of an Information Communication Technology Course -- 14. The Application of a Balanced Scorecard in Higher Education Institutions: A Case Study of Wuls -- 15. E-Learning in Times of Crisis: An Incidental or Facilitative Event? -- 16. The Relative Efficiencies of Higher Education in OECD Countries.
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.
9783030740511
10.1007/978-3-030-74051-1 doi
T57.6-.97 / 2021 EB