{"title":"多标准面板数据定向距离与多维高等教育系统的效率测量","authors":"Thyago C.C. Nepomuceno , Tommaso Agasisti , Alice Bertoletti , Cinzia Daraio","doi":"10.1016/j.omega.2024.103044","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper, we introduce the notion of multicriteria-based directional distance determination for estimating the efficiency of decision units under different (and sometimes conflicting) interests and objectives. Different objectives are interpreted as different dimensions of a production system. Multidimensional industries, such as the Higher Education system, usually have clear preference structures and value judgments over teaching, research and service (outreach), leading to ranking differences for countries and organizations based on policy perspectives, production compensations, substitutions or complementation. We develop this framework based on the non-compensatory reasoning of outranking multicriteria methods to determine the most practical directional vector for the output expansion of Higher Education and support a multidimensional efficiency measurement. The numerical application using panel data illustrates policy-directed European countries based on the three dimensions of higher education. A similar understanding can be extended for determining directional efficiency for service units based on other multicriteria methods and heuristics.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.7000,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multicriteria panel-data directional distances and the efficiency measurement of multidimensional higher education systems\",\"authors\":\"Thyago C.C. Nepomuceno , Tommaso Agasisti , Alice Bertoletti , Cinzia Daraio\",\"doi\":\"10.1016/j.omega.2024.103044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this paper, we introduce the notion of multicriteria-based directional distance determination for estimating the efficiency of decision units under different (and sometimes conflicting) interests and objectives. Different objectives are interpreted as different dimensions of a production system. Multidimensional industries, such as the Higher Education system, usually have clear preference structures and value judgments over teaching, research and service (outreach), leading to ranking differences for countries and organizations based on policy perspectives, production compensations, substitutions or complementation. We develop this framework based on the non-compensatory reasoning of outranking multicriteria methods to determine the most practical directional vector for the output expansion of Higher Education and support a multidimensional efficiency measurement. The numerical application using panel data illustrates policy-directed European countries based on the three dimensions of higher education. A similar understanding can be extended for determining directional efficiency for service units based on other multicriteria methods and heuristics.</p></div>\",\"PeriodicalId\":19529,\"journal\":{\"name\":\"Omega-international Journal of Management Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2024-02-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Omega-international Journal of Management Science\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0305048324000112\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Omega-international Journal of Management Science","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0305048324000112","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
Multicriteria panel-data directional distances and the efficiency measurement of multidimensional higher education systems
In this paper, we introduce the notion of multicriteria-based directional distance determination for estimating the efficiency of decision units under different (and sometimes conflicting) interests and objectives. Different objectives are interpreted as different dimensions of a production system. Multidimensional industries, such as the Higher Education system, usually have clear preference structures and value judgments over teaching, research and service (outreach), leading to ranking differences for countries and organizations based on policy perspectives, production compensations, substitutions or complementation. We develop this framework based on the non-compensatory reasoning of outranking multicriteria methods to determine the most practical directional vector for the output expansion of Higher Education and support a multidimensional efficiency measurement. The numerical application using panel data illustrates policy-directed European countries based on the three dimensions of higher education. A similar understanding can be extended for determining directional efficiency for service units based on other multicriteria methods and heuristics.
期刊介绍:
Omega reports on developments in management, including the latest research results and applications. Original contributions and review articles describe the state of the art in specific fields or functions of management, while there are shorter critical assessments of particular management techniques. Other features of the journal are the "Memoranda" section for short communications and "Feedback", a correspondence column. Omega is both stimulating reading and an important source for practising managers, specialists in management services, operational research workers and management scientists, management consultants, academics, students and research personnel throughout the world. The material published is of high quality and relevance, written in a manner which makes it accessible to all of this wide-ranging readership. Preference will be given to papers with implications to the practice of management. Submissions of purely theoretical papers are discouraged. The review of material for publication in the journal reflects this aim.