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[null,"1.","Record Nr.",null,"UNINA9910502628303321"]
[null,null,"Titolo",null,"Handbook of operations research and management science in higher education / / Zilla Sinuany-Stern, editor"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2021]"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"3-030-74051-X"]
[null,null,"Descrizione fisica",null,"1 online resource (529 pages)"]
[null,null,"Collana",null,"International series in operations research & management science ; ; 309"]
[null,null,"Disciplina",null,"378.111"]
[null,null,"Soggetti",null,"Education, Higher - Administration"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- The Contents -- In Summary -- Audience -- Acknowledgments -- Contents -- About the Editor and Contributors -- About the Editor -- Contributors -- Part I Reviews/Overviews -- 1 Operations Research and Management Science in Higher Education: An Overview -- 1.1 Introduction -- 1.2 OR/MS Publications -- 1.2.1 Reviews on OR in HE -- 1.2.2 HE in OR Journals -- 1.3 OR Methods and Functional Areas in HE: Articles in the WoS -- 1.3.1 OR Methods in HE: Articles Frequency -- 1.3.1.1 Groups of OR Methods -- 1.3.1.2 Specific OR Methods -- 1.3.2 Functional Areas in HE: Articles Frequency -- 1.3.2.1 Groups of Functional Areas -- 1.3.2.2 Specific Functional Areas -- 1.3.3 Group of OR Methods by Group of Functional Areas -- 1.3.4 Specific OR Methods by Specific Functional Areas -- 1.4 Issues in the HE Sector -- 1.4.1 Is HE a Product? -- 1.4.2 University-Industry Relations -- 1.4.3 Student Debt -- 1.4.4 Internationalization in HE -- 1.4.5 EduTech and the Fourth Industrial Revolution -- 1.4.6 The Pandemic and EduTech -- 1.4.7 Planning in HE -- 1.5 Summary and Conclusions -- Appendix 1: The number of articles published in 40 OR journals with HE in their title during 1980-2019 -- Appendix 2: The number of articles published in WoS Journals with HE and OR methoda 2000-2019 -- Appendix 3: The number of articles published in WoS journals with HE and functional areaa during 2000-2019 -- References -- 2 A Systematic and Updated Review of the Literature on Higher Education Marketing 2005 -2019 -- 2.1 Introduction -- 2.2 Key Issues from the 2006 Literature Review -- 2.3 Methodology -- 2.4 Findings -- 2.4.1 The Marketization of Higher Education -- 2.4.2 Marketing "]
[{"$nulls":4},"Communications -- 2.4.2.1 Advertising -- 2.4.2.2 Social Media Marketing -- 2.4.3 Branding, Image, and Reputation -- 2.4.3.1 Image and Reputation -- 2.4.4 Marketing Strategy."]
[{"$nulls":4},"2.4.4.1 Market Orientation -- 2.4.4.2 Segmentation, Targeting, and Positioning (STP) -- 2.4.4.3 The Marketing Mix -- 2.4.4.4 Relationship Marketing Strategy -- 2.4.5 Recruitment, Alumni, and Gift-Giving -- 2.5 Discussion -- Appendix 1 Summary of articles on marketization for the literature review -- Appendix 2 Summary of articles on marketing communications, advertising, and social media marketing for the literature review -- Appendix 3 Summary of articles on branding, image, and reputation for the literature review -- Appendix 4 Summary of articles on marketing strategy, market orientation, segmentation, targeting and positioning, marketing mix and relationship marketing for the literature review -- Appendix 5 Summary of articles on recruitment, alumni, and gift-giving for the literature review -- References -- 3 Overview of Simulation in Higher Education: Methods and Applications -- 3.1 Introduction -- 3.2 Analytic Simulations for Managerial Planning in HE -- 3.2.1 System Dynamic (SD) -- 3.2.2 Discrete-Event-Simulation (DES) and Monte Carlo -- 3.2.3 Agent-Based Simulation (ABS) -- 3.2.4 Deterministic and Other Analytic Simulation Models -- 3.2.5 Combining Analytic Simulation with OR and Other Methods -- 3.3 Educational Simulation in Higher Education (HE) -- 3.3.1 Educational Simulation by Method -- 3.3.1.1 Virtual Learning -- 3.3.1.2 Simulator -- 3.3.1.3 Games -- 3.3.1.4 Box Trainer -- 3.3.1.5 Manikin -- 3.3.2 Educational Simulation by Discipline -- 3.3.2.1 Health Disciplines -- 3.3.2.2 Simulations in Business Management -- 3.3.2.3 STEM Disciplines -- 3.4 Counting Articles About Simulation Methods and Their Area of Application in HE -- 3.4.1 Number of Articles on Simulation Methods -- 3.4.2 Number of Articles on Application Areas -- 3.4.3 Number of Articles on Simulation Methods by Application Areas in Higher Education."]
[{"$nulls":4},"3.5 Summary and Conclusions -- Appendix 1: Synonyms for: (a) Higher Education (b) Simulation Method (c) Areas of Application -- Appendix 2: Taxonomy of Simulation Models Applied to Higher Education -- References -- 4 Managing Minds: The Challenges of Current Research Information Systems for Improving University Performance -- 4.1 Introduction -- 4.2 Context: Accountability and Transparency of Research Outputs -- 4.3 Libraries Are Not Universities: The Problematic Evolution of CRIS Programs -- 4.4 Academic Managerial Routines in Need of Reform -- 4.4.1 Recruitment of New Faculty -- 4.4.2 Promotion Procedures -- 4.4.3 Preparing Annual Reports -- 4.4.4 Preparing Accreditation and Assessment Portfolios -- 4.5 Conclusions -- References -- 5 Forecasting Methods in Higher Education: An Overview -- 5.1 Introduction -- 5.2 Review of Forecasting Methods: Passive Versus Active Forecasting -- 5.2.1 Time Series -- 5.2.2 Ratio Methods -- 5.2.3 Regression Analysis -- 5.2.4 Simulation Models -- 5.2.5 Data Mining (DM) -- 5.2.6 Questionnaires and Surveys -- 5.3 Types of Classifications of Forecasting Methods in HE -- 5.3.1 New Classification: Active Versus Passive Forecasting Methods -- 5.3.2 Other Classifications of Forecasting Methods -- 5.3.3 Managerial and Planning Aspects of Forecasting -- 5.4 Counting Number of Articles on Forecasting in HE by Method and by Area -- 5.4.1 Counting Number of Articles on Each Forecasting Method in HE -- 5.4.2 Counting Number of Articles in HE, and Forecasting, by Main Areas of Application -- 5.5 Summary and Conclusions -- Appendix 1 -- Appendix 2 -- Appendix 3 -- References -- 6 Survey of Methods for Ranking and Benchmarking Higher Education Institutions -- 6.1 Introduction -- 6.2 International Rankings of Universities -- 6.3 Training HEI Managers on OR "]
[{"$nulls":4},"Methodologies."]
[{"$nulls":4},"6.4 Higher Education Institution Benchmarking Interactive Tool (HEIBIT) -- 6.4.1 Indicators Selection and PCA -- 6.4.2 Weighting and AHP -- 6.4.3 Normalization -- 6.4.4 Aggregation via PROMETHEE -- 6.4.5 Efficiency Analysis via DEA -- 6.4.6 Dynamic Efficiency Analysis via Malmquist Index -- 6.4.7 Global Sensitivity Analysis -- 6.5 Main Drawbacks of OR/MS Techniques in Ranking and Benchmarking of HEI Education Institutions -- 6.6 Conclusions and Future Development -- References -- 7 Balanced Scorecard in Strategic Planning of Higher Education: Review -- 7.1 Introduction -- 7.2 BSC Adapted to HE -- 7.2.1 BSC Perspectives in HE -- 7.2.2 Goals and Measures in HE for 4 BSC Perspectives -- 7.2.3 External and Internal Audiences in HE -- 7.3 Literature Review of BSC in HE -- 7.3.1 Articles of BSC in Various Levels of HE Systems -- 7.3.2 Country of BSC Applications -- 7.3.3 BSC Integrated with Other Methodologies -- 7.3.4 BSC Use for Quality Assurance -- 7.4 Advantages and Disadvantages of BSC in HE -- 7.5 Summary and Conclusions -- References -- 8 System Analysis of Technology Transfer Policies and Models in Higher Education -- 8.1 Introduction -- 8.2 The \"Third Mission\" and the Entrepreneurial University -- 8.3 Technology Commercialization -- 8.4 Technology Transfer -- 8.4.1 Mechanisms -- 8.4.2 Quantification Mechanisms of Technology Transfer -- 8.5 Case Study: Knowledge Transfer Processes in the Fields of Artificial Intelligence, Data Science, and Smart Robotics -- 8.6 Policy Implications: Technology Transfer Versus Technology Commercialization -- 8.6.1 Income Generation Versus Technology Diffusion -- 8.6.2 New Policies and TTO/TLO's Missions -- 8.6.3 IP Protection Policies and the Bayh-Dole Act -- 8.7 Concluding Remarks -- References -- 9 Models for Planning and Budgeting in Higher Education -- 9.1 Introduction -- 9.2 Types of Budgeting Systems."]
[{"$nulls":4},"9.2.1 Incremental Budgeting (IB) -- 9.2.2 Zero-Based Budgeting (ZBB) -- 9.2.3 Planning-Programming-Budgeting System (PPBS) -- 9.2.4 Formula Budgeting -- 9.2.5 Responsibility-Centered Budgeting (RCB) -- 9.3 Expenses and Income in HEI Budgets-Estimation/Simulation -- 9.3.1 Budget Expense Structure -- 9.3.2 HEI Budget Income -- 9.3.3 Determining Versus Predicting in Budget Planning -- 9.3.4 Incentives for Maximal Performance in HE Via Budgeting -- 9.3.5 Planning in HE Versus Budgeting -- 9.3.6 Simulation/Optimization Scheme of Budget Planning in HEI -- 9.4 Optimization Models for Budget Allocation -- 9.4.1 Linear Model with One Period and One Hierarchical Level -- 9.4.2 Quadratic Model with One Period and One Hierarchical Level -- 9.4.2.1 Fairness of the Quadratic Versus the Linear Models for Budget Allocation -- 9.4.2.2 Dynamic Quadratic Budget Allocation with Only Bounds Constraints -- 9.4.2.3 Goal Programming and Absolute Value of the Objective Function -- 9.4.3 Linear Two-Level Hierarchical Budgeting Model Over Time -- 9.4.4 Linear Multilevel Hierarchical Linear Network Budgeting Model -- 9.4.5 Chance Constraint -- 9.5 Aggregated University Long-Run Budget Planning Model -- 9.6 Summary and Conclusions -- Appendix 1: Summary of the Literature on Planning and Budgeting in HE -- Appendix 2: Example for Linear and Quadratic Budget Allocation Modes -- References -- Part II New Methodologies -- 10 Funding Research in Higher Education Institutions: The Game Theory Approach -- 10.1 Introduction and Scientific Background -- 10.2 Background -- 10.2.1 Budget Allocation Problem in Higher Education -- 10.2.2 Budget Partition and Fairness Index -- 10.2.3 Efficiency -- 10.2.4 Literature References to Game Theory Applications in Higher Education -- 10.3 The Proposed Contest Model -- 10.4 The Bargaining Model for Budget Division."]
[{"$nulls":4},"10.5 Contest Versus Budget Division."]
[null,"2.","Record Nr.",null,"UNINA9910966811603321"]
[null,null,"Titolo",null,"The analysis of firms and employees : quantitative and qualitative approaches / / edited by Stefan Bender ... [et al.]"]
[null,null,"Pubbl/distr/stampa",null,"Chicago, : University of Chicago Press, 2008"]
[null,null,"ISBN",null,"9786612070341"]
[{"$nulls":4},"9781282070349"]
[{"$nulls":4},"1282070347"]
[{"$nulls":4},"9780226042893"]
[{"$nulls":4},"0226042898"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (398 p.)"]
[null,null,"Collana",null,"A National Bureau of Economic Research conference report"]
[null,null,"Disciplina",null,"331.1"]
[null,null,"Soggetti",null,"Employees"]
[{"$nulls":4},"Industrial organization"]
[{"$nulls":4},"Industrial sociology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"The effect of HRM practices and R&D investment on worker productivity / Fredrick Andersson, Clair Brown, Benjamin Campbell, Hyowook Chiang, and Yooki Park -- Using behavioral economic field experiments at a firm : the context and design of the Truckers and Turnover Project / Stephen V. Burks, Jeffrey Carpenter, Lorenz Gotte, Kirsten Monaco, Kay Porter, and Aldo Rustichini -- Subjective evaluation of performance and evaluation interview : empirical evidence from France / Marc-Arthur Diaye, Nathalie Greenan, and Michal W. Urdanivia -- Do initial conditions persist between firms? : an analysis of firm-entry cohort effects and job losers using matched employer-employee data / Till von Wachter and Stefan Bender -- Changes in workplace segregation in the United States between 1990 and 2000 : evidence from matched employer-employee data / Judith Hellerstein, David Neumark, and Melissa McInerney -- The effect of tuition reimbursement on turnover : a case study analysis / Colleen Flaherty Manchester -- Ownership and wages : estimating public-private and foreign-domestic differentials with LEED from Hungary, 1986 to 2003 / John S. Earle and Almos Telegdy -- Insider privatization and careers : a study of a Russian firm in transition / Guido Friebel and Elena Panova -- Trade and workforce changeover in Brazil / Marc-Andreas Muendler -- Job creation abroad "]
[{"$nulls":4},"and worker retention at home / Sascha O. Becker and Marc-Andreas Muendler -- Wage and productivity premiums in Sub-Saharan Africa / Johannes Van Biesebroeck."]
[null,null,null,"Sommario/riassunto","The long-term impact of globalization, outsourcing, and technological change on workers is increasingly being studied by economists. At the nexus of labor economics, industry studies, and industrial organization, The Analysis of Firms and Employees presents new findings about these impacts by examining the interaction between the internal workings of businesses and outside influences from the market using data from countries around the globe. The result is enhanced insight into the dynamic interrelationship between firms and workers.      A dis"]