Eco-innovation analysis: A data envelopment analysis methodology

2021 ◽  
pp. 101770
Author(s):  
H. Arman ◽  
A. Jamshidi ◽  
A. Hadi-Vencheh
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Analysis Methodology ◽  
Innovation Analysis

scholarly journals Analisis Perbandingan Produktifitas dan Efsiensi Pengiriman Material pada Sistem Aging dan Sistem Scheduling Route Menggunakan Analisis Produktifitas dan Data Envelopment Analysis (DEA)

2021 ◽  
Vol 5 (1) ◽  
pp. 77-85
Author(s):  
Indro Prakoso ◽  
M Baharuddin Wahit Tosaili ◽  
Tigar Putri Adhiana
Keyword(s):  
Data Envelopment Analysis ◽  
Delivery System ◽  
Data Envelopment ◽  
Productivity Analysis ◽  
System Productivity ◽  
Scheduling System ◽  
Track Record ◽  
Analysis Methodology ◽  
Using Data ◽  
Aging System

Productivity and efficiency are two main things that can be used as benchmarks for success from the Delivery section of the SCM department. Productivity is the main point in assessing whether the Delivery system in the warehouse is feasible or has not reached its target. In the last few periods after carrying out a track record of the historical data of the shipment of goods. It was found that in one week there were frequent deliveries to the same user drop point location, meaning that this could lead to waste & waste from inefficient work. In connection with that, a new system is implemented, the scheduling system, which is a delivery system for delivering material with a predetermined schedule every week. This research is intended to produce a productivity analysis that shows whether this new scheduling system can increase productivity and delivery efficiency when compared to an aging system or vice versa by using a productivity analysis methodology and efficiency level benchmarking using data envelopment analysis (DEA). The results of the aging system productivity analysis have a better value, namely 34%, while the scheduling system is 26%, but scheduling has a shorter distance so it can make savings. Meanwhile, in comparison to efficiency using benchmark factors, it is found that the aging system is more efficient with an optimum value of 1, and scheduling of 0.9855535 is considered inefficient.

Assessing the Efficiency and Distribution of Agricultural Activities Using DSS

2011 ◽  
pp. 288-316
Author(s):  
Helga Pereira ◽  
Luis C. Dias ◽  
Maria João Alves
Keyword(s):  
Information System ◽  
Linear Programming ◽  
Data Envelopment Analysis ◽  
Geographical Information ◽  
Second Phase ◽  
Data Envelopment ◽  
Agricultural Activities ◽  
Mainland Portugal ◽  
Analysis Methodology

This work describes the sequential use of different Information Systems and Decision Support Systems (DSS) to measure the efficiency of a set of agricultural activities, and subsequently to propose alternative reallocations of these activities within a geographical region. The region selected as a case study was Ribatejo e Oeste (RO), an important agrarian region in mainland Portugal. The DEA (Data Envelopment Analysis) methodology was used to assess the efficiency of the most important agricultural activities in RO, using the Frontier Analyst DSS to study alternative modelling options. In a second phase, plans for redistributing the evaluated activities were studied, aiming at promoting the most efficient activities (according to DEA) but without creating at the same time drastic changes in current land uses. Several plans constituting different compromises between these two objectives were found using a multiobjective linear programming DSS. A Geographical Information System was used to constrain the areas that were adequate for each type of crop and to graphically illustrate some proposed plans.

Technical efficiency of the Russian agriculture

2016 ◽  
pp. 144-155 ◽  
Author(s):  
V. Korotchenya
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Agricultural Sector ◽  
Time Interval ◽  
Data Envelopment ◽  
Analysis Methodology ◽  
Russian Agriculture ◽  
Advanced Economies ◽  
Cross Country ◽  
Low Efficiency

Based on the data envelopment analysis methodology applied in the cross-country context with a metafrontier approach and window analysis, the article provides a technical efficiency estimate of the Russian agriculture. The group of countries included in the study comprises the CIS, BRIC, EU, and OECD members. The time interval is 1992-2007. The research has revealed low efficiency of the Russian agriculture among the CIS members and a relatively large technology gap with respect to advanced economies, but which tends to decline. The estimates also indicate growth of the Russian agricultural sector efficiency within the CIS beyond the time interval of the research.

scholarly journals Coopetition for Sustainable Competitiveness: R&D Collaboration in Perspective of Productivity

2020 ◽  
Vol 12 (19) ◽  
pp. 7993
Author(s):  
Youngwook Ko ◽  
Yanghon Chung ◽  
Hangyeol Seo
Keyword(s):  
Data Envelopment Analysis ◽  
Propensity Score ◽  
Value Creation ◽  
New Technology ◽  
Innovation Process ◽  
Network Data ◽  
Data Envelopment ◽  
Value Appropriation ◽  
Analysis Methodology ◽  
Two Stages

This study explores the effect of coopetition on research and development (R&D) productivity in two stages of the innovation process: (1) value creation to develop new technology and (2) value appropriation to generate profits. Using a sample from the 2010 and 2014 Korea Innovation Survey, we applied the propensity score matching methodology to control selective bias and the two-stage network data envelopment analysis methodology to measure R&D productivity. Our findings indicate that firms who cooperate with competitors in the value creation stage have relatively higher R&D productivity than those who do not. In contrast, firms that pursue the coopetition strategy showed relatively low R&D productivity in the value appropriation stage. Overall, this study provides a better understanding of coopetition by demonstrating its various benefits, costs, and risks.

scholarly journals A DEA-inspired model to evaluate the efficiency of education in OECD countries

2021 ◽  
Vol 31 ◽  
pp. 329-346
Author(s):  
Ignacio Contreras Rubio ◽  
Carlota Dominguez-Gil
Keyword(s):  
Data Envelopment Analysis ◽  
Human Resources ◽  
Ad Hoc ◽  
Relative Weight ◽  
Oecd Countries ◽  
Educational Systems ◽  
Data Envelopment ◽  
Analysis Methodology ◽  
Proficiency Level ◽  
The Mean

In this paper empirical application to the study about the efficiency of the performance of the educational systems across countries is developed. With the information published in the PISA 2015, Data Envelopment Analysis methodology is considered to evaluate the efficiency in the use of the resources devoted to education by OECD countries. Similar to previous studies, the main resources needed for learning, financial, human resources, material and time have been considered. Alternatively to previous proposals, the mean scores have not been included as the output of the process. Instead of that, to quantify the results of the learning process, the percentages of students in each proficiency level of the PISA test have been computed. An ad hoc model based on the Additive DEA-model is proposed, adapting the formulation to the particular features of the vector of outputs considered. Considering that the aggregate value of output is fixed and that the relative weight of the outputs differs, inefficient units improve their performance by reallocating that fixed value among different outputs, moving units from the less valued to the most valued ones.

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