Sustainability Efficiency Assessment in the Turkish Manufacturing Sector

2022 ◽  
pp. 261-285
Author(s):  
Isil Erem Ceylan
Keyword(s):  
Manufacturing Sector ◽  
Corporate Sustainability ◽  
Data Envelopment ◽  
Manufacturing Companies ◽  
Social Dimensions ◽  
Sustainability Index ◽  
Efficiency Assessment ◽  
Potential Improvement ◽  
Using Data ◽  
The Relationship

This chapter intends to measure environmental, social, and economic sustainability efficiency levels of the manufacturing companies listed in Borsa Istanbul Sustainability Index by using data envelopment analysis (DEA) based on the target year of 2019. In this context, considering the relationship between inputs and outputs determined as a result of the comprehensive review of the related literature, efficiency assessment is made by considering environmental, social, and economic indicators, which are the main dimensions of corporate sustainability. The input-oriented Charnes, Cooper, and Rhodes (CCR) and Banker, Charnes, and Cooper (BCC) models have been used in the efficiency measurement. According to the obtained efficiency scores for the relatively inefficient companies in terms of environmental, economic, and social dimensions, several suggestions are offered depending on the potential improvement rates for them.

scholarly journals ISO 14001:2015 and ISO 9001:2015: analyse the relationship between these management systems standards and corporate sustainability

2019 ◽  
Vol 26 (4) ◽  
Author(s):  
Camila dos Santos Ferreira ◽  
Camila Fabrício Poltronieri ◽  
Mateus Cecílio Gerolamo
Keyword(s):  
Corporate Sustainability ◽  
Strong Relationship ◽  
Iso 14001 ◽  
Iso 9001 ◽  
Management Systems ◽  
Global Reporting Initiative ◽  
Social Dimensions ◽  
Sustainability Index ◽  
Social Environmental ◽  
The Relationship

Abstract Two of the main standards of management systems known worldwide have undergone revision recently, namely: the ISO 9001 (Quality Management System) and the ISO 14001 (Environmental Management System). The new versions were published in September, 2015. In view of the changes which have taken place, the aim of this study is to analyse the relationship between these management systems standards with corporate sustainability. To achieve this objective, first the corporate sustainability requirements were identified based on the Corporate Sustainability Index, Ethos Indicators and the Global Reporting Initiative. The dimensions of corporate sustainability were divided into the following: social, environmental, economic, socio-environmental, socio-economic, economic-environmental and economic-social-environmental. Afterwards, two matrices were constructed for each standard in order to relate their requirements with the corporate sustainability ones. In the first round of analysis, matrices were sent to two specialists in the areas studied and then the results were compared. Relationships were classified as strong, weak or null. They identified some divergences among the answers from the experts. In order to solve the doubts, the second round of consultation was held with three experts. After receiving the experts´ responses, their responses was calculated through mode the Consolidated Relationship Matrices were built based on the consolidated responses from the experts. The ISO 14001:2015 showed a strong relationship with the environmental, social, socio-environmental, socio-economic, economic-environmental and economic-environmental-social dimensions and null with the economic dimension. Regarding the ISO 9001:2015, it can be observed that most of the sustainability requirements grouped into socio-economic and economic-environmental-social dimensions showed a strong relationship with the standard. The social and economic-environmental dimensions presented a weak relationship and in the environmental and economic dimensions there was a null relationship. The socio-environmental dimension presented weak and null relationships. It can be concluded that the ISO 9001 and ISO 14001 standards contribute to corporate sustainability, however, they alone do not ensure that all the requirements of the sustainability recommended by the Corporate Sustainability Index, Ethos Indicators and Global Reporting Initiative will be achieved.

Structural Mediation Model of Information System and Sustainable Performance of UAE Manufacturing Sector

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Mohamed Ahmed Darwish Abdulla Larii ◽  
◽  
Fatma Ahmed Lari ◽  
Mohamed Ahmed Darwish Abdulla Lari ◽  
◽  
...  
Keyword(s):  
Information System ◽  
Manufacturing Sector ◽  
Organisational Culture ◽  
The Body ◽  
Mediating Effect ◽  
Operational Performance ◽  
Manufacturing Companies ◽  
Mediation Model ◽  
Sustainable Performance ◽  
The Relationship

This study intends to find out the mediating effect of organisational culture on the relationship between information system and sustainable performance of manufacturing sector in UAE. This study used AMOS-SEM software to develop mediation model that linking the mediating relationships between Information System, Organisational Culture and Sustainable operation Performance. Data was collected through questionnaire survey among the operation staff of Abu Dhabi manufacturing companies. A total 250 questionnaires were distributed however 205 were returned and only 200 are valid which indicates a response rate of 80%. The analysis found that TPS has positive but not significant effect to SP; OIS has positive but not significant effect to SP; FMW has a positive and significant effect on SP; SDS has a negative and not significant effect to SP and SP has positive but not significant effect OC. For the path relationship between the four exogenous variables (TPS, OIS, SDS, and FMW) and the mediator variable (OC), the results are TPS has positive and significant effect to OC; OIS has positive but not significant effect to OC; FMW has positive and significant effect to OC and SDS has positive and not significant effect to OC. Collectively, the five exogenous constructs (TPS, OIS, SDS, FMW and OC) explained 89% variation in operational performance and 86% of the variation in organisational culture. However, for a mediator, it was found that OC has no significant mediating effect on the relationship between TPS and SP; OC has no significant mediating effect on the relationship between OIS and SP; OC has no significant mediating effect on the relationship between SDS and SP and OC has no significant mediating effect on the relationship between FMW and SP. it can be concluded that there is a positive relationship between information system dimensions and operational performance. However organizational culture has no contributing any mediating effect to the relationship. These findings have contributed to the body of knowledge and could be shared among the UAE manufacturing practitioners.

scholarly journals Evaluating 3D Printers Using Data Envelopment Analysis

2021 ◽  
Vol 11 (9) ◽  
pp. 4209
Author(s):  
Theodore Papatheodorou ◽  
John Giannatsis ◽  
Vassilis Dedoussis
Keyword(s):  
Data Envelopment Analysis ◽  
Fused Deposition Modeling ◽  
Production Systems ◽  
Manufacturing Sector ◽  
Data Envelopment ◽  
Programming Technique ◽  
Fused Deposition ◽  
Efficiency Performance ◽  
3D Printers ◽  
Using Data

Data Envelopment Analysis (DEA) is an established powerful mathematical programming technique, which has been employed quite extensively for assessing the efficiency/performance of various physical or virtual and simple or complex production systems, as well as of consumer and industrial products and technologies. The purpose of the present study is to investigate whether DEA may be employed for evaluating the technical efficiency/performance of 3D printers, an advanced manufacturing technology of increasing importance for the manufacturing sector. For this purpose, a representative sample of 3D printers based on Fused Deposition Modeling technology is examined. The technical factors/parameters of 3D printers, which are incorporated in the DEA, are investigated and discussed in detail. DEA evaluation results compare favorably with relevant benchmarks from experts, indicating that the suggested DEA technique in conjunction with technical and expert evaluation could be employed for evaluating the performance of a highly technological system, such as the 3D printer.

scholarly journals EFFICIENCY OF PUBLIC SPENDING ON HIGHER EDUCATION: A DATA ENVELOPMENT ANALYSIS FOR EU-28

2019 ◽  
Vol 77 (3) ◽  
pp. 396-409 ◽  
Author(s):  
Maja Mihaljevic Kosor ◽  
Lena Malesevic Perovic ◽  
Silva Golem
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Public Spending ◽  
Data Envelopment ◽  
Market Mechanisms ◽  
Measurement And Analysis ◽  
Education Statistics ◽  
Using Data ◽  
The Relationship ◽  
Policy Proposals

One of the main goals of education policy is to enhance educational outcomes. If resources are used inefficiently, they will fail to maximise those outcomes. Data Envelopment Analysis was used to calculate technical efficiency of public spending on education for EU-28 using the latest higher education statistics available. Focusing on European higher education, conceptual and methodological issues related to the measurement and analysis of efficiency were discussed. The most efficient countries are identified and also countries for which real efficiency improvements are possible. A novel set of variables is used to highlight more appropriately the distinctiveness of the higher education sector and the relationship between input and outputs. The advantage of using Data Envelopment Analysis is that it identifies the best performing decision, making units and not the averages. This type of information about the efficiency of public spending on education is of importance to many parties. It can be used to promote ‘yardstick’ competition in the areas of education where the lack of market mechanisms is apparent, guide policy proposals, and to enhance the monitoring of education. Key words: efficiency in education, higher education, public spending, data envelopment analysis, European Union.

Energy Intensity, Productivity and Pollution Loads: Empirical Evidence from Manufacturing Sector of India

2020 ◽  
Vol 8 (2) ◽  
pp. 194-211
Author(s):  
Prantik Bagchi ◽  
Santosh Kumar Sahu
Keyword(s):  
Energy Intensity ◽  
Manufacturing Sector ◽  
Vital Role ◽  
Sustainable Growth ◽  
Indian States ◽  
Secondary Sources ◽  
Using Data ◽  
The Relationship ◽  
Efficiency And Productivity ◽  
Pollution Loads

We explain the relationship between energy intensity and productivity for the organized manufacturing sector of India. Using data from the secondary sources, we explain the relationships at aggregate, state and industry levels. The novelty of this paper lies in bringing in pollution loads in explaining inter-industry variations in energy intensity. Results of this study indicate that the organized manufacturing sector of India has gained energy efficiency and productivity. We found heterogeneity among Indian states in productivity growth and energy intensity. The results indicate that small states performed well whereas large states fall in the productivity paradox. The productivity dilemma hypothesis is validated at industry level analysis however, results are inconsistent to validate the decoupling growth hypothesis. Pollution loads as classified by Government of India, plays a vital role in explaining energy intensity variations across industries, which calls for better policies aiming at pollutive industries specifically to achieve sustainable growth for the manufacturing sector of the Indian economy.

scholarly journals DINAMIKA TOTAL FACTOR PRODUCTIVITY INDUSTRI BESAR DAN SEDANG INDONESIA

2014 ◽  
Vol 16 (3) ◽  
pp. 277-308
Author(s):  
Ndari Surjaningsih ◽  
Bayu Panji Permono
Keyword(s):  
Data Envelopment Analysis ◽  
Total Factor Productivity ◽  
Technical Change ◽  
Manufacturing Sector ◽  
Jel Classification ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Catching Up ◽  
Using Data

This paper calculates and decomposes the Total Factor Productivity (TFP) for large and medium scale industry in Indonesia covering the period of 2000-2009. By using Data Envelopment Analysis (DEA)  method, the result shows there is a shift of the supporting factors on the growth of TFP on manufacturing sector within the 2 (two) sample period. In the period of 2000-2004, efficiency change becomes the main contributor on the growth of TFP. Whereas in the period of 2005-2009, technical change becomes the main supporting factor of TFP,however it goes along with the growth of negative efficiency change or the decline of the company’s catching-up effect ability to adapt with the more advance technology. The grouping of the sample across subsectors, technical change and also efficiency change shows the declining amount of manufacture industry with superior productivity. Furthermore, the number of low and weakening catching-up industry is increasing.  Keywords: Indonesian manufacturing, total factor productivity, technical change, efficiency change, economic scale change, Data Envelopment Analysis JEL Classification: L6, M11

PENGARUH KECAKAPAN MANAJERIAL DAN KINERJA KEUANGAN TERHADAP MANAJEMEN LABA

2018 ◽  
Vol 9 (2) ◽  
pp. 204-221
Author(s):  
Istiqomah Istiqomah ◽  
Vita Elisa Fitriana
Keyword(s):  
Earnings Management ◽  
Financial Performance ◽  
Stock Exchange ◽  
Data Envelopment ◽  
Return On Equity ◽  
Managerial Skills ◽  
Using Data ◽  
Relationship Of ◽  
The Relationship ◽  
Positive Effect

The purpose of the study was to examine the effect of the relationship of managerial skills and financial performance on earnings management. Sample from this study is a manufacturing company listed on the Indonesia Stock Exchange (IDX) in 2014 to 2016, and as many as 137 sample companies. Managerial skills are measured using Data Envelopment Analysis (DEA). Financial performance is measured using ROE (Return on Equity) financial ratios. While earnings management is measured by calculating discretionary accruals of modified Jones models. By using multiple regression analysis, it was found that managerial skills did not affect earnings management. Because capable managers tend not to do earnings management. Furthermore, financial performance has a positive effect on earnings management. Because when a company's performance is bad, management tends to maintain the company's reputation for not doing earnings management.

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