Managerial Efficiency in Higher Education Using Individual Versus Aggregate Level Data. Does the choice of Decision Making Units Count?

2014 ◽  
Vol 37 (2) ◽  
pp. 106-126 ◽  
Author(s):  
Cristian Barra ◽  
Roberto Zotti
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Aggregate Level ◽  
Managerial Efficiency ◽  
Level Data ◽  
Decision Making Units

Aggregate Efficiency Dynamics in Lithuanian Dairy Farms

2021 ◽  
Vol 70 (4) ◽  
pp. 251-264
Author(s):  
Tomas Balezentis ◽  
Giannis Karagiannis
Keyword(s):  
Decision Making ◽  
Structural Changes ◽  
Dairy Farms ◽  
Family Farms ◽  
Efficiency Change ◽  
Empirical Application ◽  
Level Data ◽  
Covariance Term ◽  
Large Farms ◽  
Decision Making Units

In this paper, we attempt to identify the major groups of decision making units (dairy farms) contributing to the aggregate efficiency change. We also suggest identifying influential peers in order to gain more insights into possible development strategies within a sector. The empirical application focuses on specialist dairy farms in Lithuania. The farm-level data cover the period 2004-2016. The results indicate the presence of structural changes and resulting shifts in the aggregate efficiency. Based on the results of decomposition of the covariance term and identification of the influential peers, two models can be followed by Lithuanian dairy farms, namely “pure” family farms with lower operational scale and large farms involving hired labour.

Evaluation of the Academic Setting in Spain 1This study was financed by the University of Oviedo.

1995 ◽  
Vol 11 (2) ◽  
pp. 133-137 ◽  
Author(s):  
Juan Fernández ◽  
Miguel A. Mateo ◽  
José Muñiz
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Social Climate ◽  
Three Dimensions ◽  
Academic Setting ◽  
Teaching And Research ◽  
Evaluation Questionnaire ◽  
University Teachers ◽  
The University

The conditions are investigated in which Spanish university teachers carry out their teaching and research functions. 655 teachers from the University of Oviedo took part in this study by completing the Academic Setting Evaluation Questionnaire (ASEQ). Of the three dimensions assessed in the ASEQ, Satisfaction received the lowest ratings, Social Climate was rated higher, and Relations with students was rated the highest. These results are similar to those found in two studies carried out in the academic years 1986/87 and 1989/90. Their relevance for higher education is twofold because these data can be used as a complement of those obtained by means of students' opinions, and the crossing of both types of data can facilitate decision making in order to improve the quality of the work (teaching and research) of the university institutions.

To Investigate the Critical Influencing Factors for Decision Making Process of Students Who Want to Study Abroad

2019 ◽  
Vol 118 (11) ◽  
pp. 619-624
Author(s):  
JueJueMyint Toe ◽  
Ali Abdulbaqi Ameen ◽  
Sui Reng Liana ◽  
Amiya Bhaumik
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Study Abroad ◽  
Education Level ◽  
Decision Making Process ◽  
International Level ◽  
Continuing Higher Education ◽  
Clear Trend ◽  
The People ◽  
Study Overseas

Myanmar is the developing country and its education system is not yet to international level. Hence, most of the young adults, who like to upgrade their knowledge global wide and to gain international recognized higher educational certificates, choose to study overseas rather than continuing higher education after their high education nowadays, that becomes the trend of young people to study overseas since the competency among the people is getting intense based on the education level in every industry. The purpose of this research is to understand that students’ decision making process of selecting university. The study will be conducted to see clear trend of Myanmar students’ decision making of studying in abroad. This research will cover the context of what is Myanmar students’ perception of abroad, how they consider among other countries and explaining those factors which determine Myanmar students’ choice and how they decide to study abroad.

Relative Efficiency of Decision Making Units Producing Both Desirable and Undesirable Outputs: A Case of Textile Processing Units in Pakistan.

2011 ◽  
Vol 50 (4II) ◽  
pp. 685-698
Author(s):  
Samina Khalil
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Value Added ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Textile Processing ◽  
Decision Making Unit ◽  
Desirable And Undesirable Outputs ◽  
Decision Making Units

This paper aims at measuring the relative efficiency of the most polluting industry in terms of water pollution in Pakistan. The textile processing is country‘s leading sub sector in textile manufacturing with regard to value added production, export, employment, and foreign exchange earnings. The data envelopment analysis technique is employed to estimate the relative efficiency of decision making units that uses several inputs to produce desirable and undesirable outputs. The efficiency scores of all manufacturing units exhibit the environmental consciousness of few producers is which may be due to state regulations to control pollution but overall the situation is far from satisfactory. Effective measures and instruments are still needed to check the rising pollution levels in water resources discharged by textile processing industry of the country. JEL classification: L67, Q53 Keywords: Data Envelopment Analysis (DEA), Decision Making Unit (DMU), Relative Efficiency, Undesirable Output

scholarly journals Teaching and Learning Process of Decision-Making Units in Talented Young Players From U-10 to U-14

2020 ◽  
Vol 11 ◽  
Author(s):  
Juan Carlos Pastor-Vicedo ◽  
Alejandro Prieto-Ayuso ◽  
Onofre Ricardo Contreras-Jordán ◽  
Filipe Manuel Clemente ◽  
Pantelis Theo Nikolaidis ◽  
...  
Keyword(s):  
Decision Making ◽  
Learning Process ◽  
Teaching And Learning ◽  
Decision Making Units

scholarly journals Characteristics of intracerebral haemorrhage associated with COVID-19: a systematic review and pooled analysis of individual patient and aggregate data

2021 ◽  
Author(s):  
R. Beyrouti ◽  
J. G. Best ◽  
A. Chandratheva ◽  
R. J. Perry ◽  
D. J. Werring
Keyword(s):  
Intracerebral Haemorrhage ◽  
Pooled Analysis ◽  
Aggregate Data ◽  
High Rate ◽  
Individual Data ◽  
Aggregate Level ◽  
Level Data ◽  
Pooled Prevalence ◽  
Underlying Mechanisms ◽  
Different Characteristics

Abstract Background and purpose There are very few studies of the characteristics and causes of ICH in COVID-19, yet such data are essential to guide clinicians in clinical management, including challenging anticoagulation decisions. We aimed to describe the characteristics of spontaneous symptomatic intracerebral haemorrhage (ICH) associated with COVID-19. Methods We systematically searched PubMed, Embase and the Cochrane Central Database for data from patients with SARS-CoV-2 detected prior to or within 7 days after symptomatic ICH. We did a pooled analysis of individual patient data, then combined data from this pooled analysis with aggregate-level data. Results We included data from 139 patients (98 with individual data and 41 with aggregate-level data). In our pooled individual data analysis, the median age (IQR) was 60 (53–67) years and 64% (95% CI 54–73.7%) were male; 79% (95% CI 70.0–86.9%) had critically severe COVID-19. The pooled prevalence of lobar ICH was 67% (95% CI 56.3–76.0%), and of multifocal ICH was 36% (95% CI 26.4–47.0%). 71% (95% CI 61.0–80.4%) of patients were treated with anticoagulation (58% (95% CI 48–67.8%) therapeutic). The median NIHSS was 28 (IQR 15–28); mortality was 54% (95% CI 43.7–64.2%). Our combined analysis of individual and aggregate data showed similar findings. The pooled incidence of ICH across 12 cohort studies of inpatients with COVID-19 (n = 63,390) was 0.38% (95% CI 0.22–0.58%). Conclusions Our data suggest that ICH associated with COVID-19 has different characteristics compared to ICH not associated with COVID-19, including frequent lobar location and multifocality, a high rate of anticoagulation, and high mortality. These observations suggest different underlying mechanisms of ICH in COVID-19 with potential implications for clinical treatment and trials.

Artificial intelligence for decision making in higher education

2021 ◽  
pp. 1-2
Author(s):  
Carlos Enrique Montenegro Marin ◽  
Paulo Alonso Gaona Garcia ◽  
Edward Rolando Nuñez Valdez
Keyword(s):  
Artificial Intelligence ◽  
Higher Education ◽  
Decision Making
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