scholarly journals Sustainability performance indicators: Definition, interaction, and influence of contextual characteristics

2020 ◽  
Vol 27 (6) ◽  
pp. 2615-2630
Author(s):  
Francisco J. López‐Arceiz ◽  
Cristina Del Río ◽  
Ana J. Bellostas
2015 ◽  
Vol 202 ◽  
pp. 89-97 ◽  
Author(s):  
Abdul Hadi Nawawi ◽  
Faudzi Muhammad ◽  
Rohana Mahbub ◽  
Nazirah Zainul Abidin

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Reza Ehtesham Rasi ◽  
Mehdi Sohanian

Purpose The purpose of this paper is to design and optimize economic and environmental dimensions in a sustainable supply chain (SSC) network. This paper developed a mixed-integer linear programing (MILP) model to incorporate economical and environmental data for multi-objective optimization of the SSC network. Design/methodology/approach The overall objective of the present study is to use high-quality raw materials, at the same time the lowest amount of pollution emission and the highest profitability is achieved. The model in the problem is solved using two algorithms, namely, multi-objective genetic and multi-objective particle swarm. In this research, to integrate sustainable supplier selection and optimization of sustainability performance indicators in supply chain network design considering minimization of cost and time and maximization of sustainability indexes of the system. Findings The differences found between the genetic algorithms (GAs) and the MILP approaches can be explained by handling the constraints and their various logics. The solutions are contrasted with the original crisp model based on either MILP or GA, offering more robustness to the proposed approach. Practical implications The model is applied to Mega Motor company to optimize the sustainability performance of the supply chain i.e. economic (cost), social (time) and environmental (pollution of raw material). The research method has two approaches, namely, applied and mathematical modeling. Originality/value There is limited research designing and optimizing the SSC network. This study is among the first to integrate sustainable supplier selection and optimization of sustainability performance indicators in supply chain network design considering minimization of cost and time and maximization of sustainability indexes of the system.


2021 ◽  
Vol 12 (03) ◽  
pp. 9-21
Author(s):  
Sabrina Stern ◽  
Sven Steck ◽  
Stefan Waitzinger

This paper describes the rationale and the development of a structured digital approach for measuring corporate environmental sustainability using performance metrics. It is impossible to imagine today's age without the preservation of our environment, not even in the corporate environment. Currently, sustainability is mostly only rudimentarily considered in companies, mostly only with written down phrases on the website. This will no longer be sufficient in the future, which is why companies should record sustainability on a numerical basis. Based on the development of a workable concept for companies, a small empirical study was carried out, which can be used to numerically measure the sustainability performance of companies. Two utility analyses were completed. One of them was supplemented by expert interviews. Well-known practitioners from the business world were interviewed and asked for their assessment of ecological performance indicators. The result of the research is an indicator-based concept that can be applied in corporate practice to determine ecological sustainability performance.


2020 ◽  
Vol 10 (1) ◽  
pp. 13 ◽  
Author(s):  
Domenico Raucci ◽  
Lara Tarquinio

Non-financial reporting is a growing topic, and the adoption of the EU Directive 2014/95/EU on non-financial information (NFI) is increasing the use of this reporting. One of the most distinctive elements of guidelines and standards that are widely used to draw-up reports on NFI is sustainability performance indicators (SPIs). SPIs can provide a significant value-added to non-financial corporate communication, and they are useful tools to support internal decision-making processes. The purpose of this study is to examine the effects produced on SPIs disclosure by the entry into force of the Italian Decree implementing the Directive on NFI. Content analysis method is used to analyze indicators disclosed by Italian companies before and after the adoption of the Decree. Findings show that each category of SPIs was largely used by the companies of our 2012 sample, but a reduction of the quantity of indicators disclosed was documented in 2017. Therefore, after the introduction of mandatory disclosure of NFI, companies seem to focus only on indicators considered more “relevant” according to the Directive. This research represents one of the preliminary analysis on the adoption of the Directive in Italy and on its first effects on NFI reporting practices.


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