Assessment of risks impeding sustainable mining in Pakistan using fuzzy synthetic evaluation

Jiskani, Izhar Mithal; Cai, Qipeng; Zhou, Wei; Lü, Xiang

doi:10.1016/j.resourpol.2020.101820

Cited by 47 publications

(28 citation statements)

References 51 publications

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“…Management of mining processes and monitoring of their performance is a basic prerequisite for continual improvement, elimination of waste, the introduction of innovations in mining, gaining competitive advantages, and application in the competitive environment of the mining industry by the view of sustainable development and economic growth. Jiskani et al (2020) support the argument that improving the competitiveness of the mining industry aids in the promotion of its sustainable development by the SWOT analysis for the mining industry. Jiskani et al (2021) [1] comment that the performance indicators are evaluated in smart mining, but it is important to the importance of performance indicators framework should be highlighted.…”

Section: Introductionsupporting

confidence: 62%

“…Optimization of the mining area and its layout means competitiveness in the market of mining industries (quality management). Jiskani et al (2020) described the importance of mine optimization, safety, and green mining strategy as an essential pathway to achieving sustainable mining. The role of mining safety and green mining for sustainable mining is the base idea for future mining [4].…”

Section: Introductionmentioning

confidence: 99%

“…Sutoová et al (2018) stated that the achievement of the performance in mining processes means focusing on innovation, developing knowledge, improving internal processes, eliminating waste, minimizing costs, improving technology, and using production factors effectively [6]. Zhou et al (2020) stated the concept of green mining is to improve the mining industry in a holistic way so that it is safe, efficient, and environmentally sustainable. They created an evaluation index system of green surface mining based on the theory of green grades.…”

Section: Introductionmentioning

confidence: 99%

“…An important part of performance evaluation in mining companies is effective risk management in mining. Jiskani et al (2020) stated that the significance of risk identification, risk analysis, and risk management for sustainable development in the mining industry must be highlighted. Sustainability has always been a core concern in the mining industry because the exploitation of mineral resources poses adverse impacts on the environment and society.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Evaluation of the Performance of Mining Processes after the Strategic Innovation for Sustainable Development

Teplická¹,

Khouri²,

Beer³

et al. 2021

Processes

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The article summarizes the arguments within the scientific discussion about performance management in mining companies and their significance for obtaining competitiveness in the market of mining companies in the direction of sustainable development and economic growth. The main goal of the paper is to evaluate the performance indicators of mining processes after the implementation of strategic innovation—a new layout of the mining area focused on a combination of stationary and mobile mining equipment and their influence on the environment in a selected mining company in Slovakia in area of mining of limestone. Methods of research were focused on using economic indicators for the valuation of the efficiency and functionality of the mining processes. We used Pareto analysis for evaluation that points to critical mining processes and their significance in the financial area with orientation to costs, revenues. This research was used economic analysis with direction to efficiency, an indicator of cost and profit. Those indicators create a base for effective business in the mining area. The research empirically confirms that the new innovation of layout of mining place brings improvement of mining processes and indicators point to effective (over limit 0.70) and functional (over limit 0.90) mining processes in the year 2020. Pareto analysis showed the best processes (mining, expedition, transport, sorting) for financial benefits, the volume of production, demand, the satisfaction of customers, the cover needs of industries but at the same they are processes with high costs. Strategic innovation brought improvement too in the area of the environment. The results of the research can be useful for other mining companies in performance management and achievement mining market position.

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Section: Introductionsupporting

confidence: 62%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of the Performance of Mining Processes after the Strategic Innovation for Sustainable Development

Teplická¹,

Khouri²,

Beer³

et al. 2021

Processes

View full text Add to dashboard Cite

show abstract

“…According to the entropy method proposed above, the objective weights of the indicators are calculated, and the quantitative indicators are directly calculated based on the collected data; the qualitative indicators are scored based on expert experience, and according to the scoring results, the membership degree of each index is calculated. The degree of membership refers to the degree of affiliation of each evaluation index corresponding to the comment set and each level [41,42]. The indicators are divided into ten levels.…”

Section: Objective Weight Calculationmentioning

confidence: 99%

Research on Comprehensive Evaluation of Data Source Quality in Big Data Environment

Li¹,

Xu²,

Peng³

2021

IJCIS

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Data quality is the prerequisite of big data research and the basis of all data analysis, mining, and decision support. Therefore, a comprehensive fuzzy evaluation method for big data quality evaluation is proposed. Through the analysis of big data quality characteristics, a big data quality evaluation system for the whole process of data processing is constructed. The subjective weight and objective weight of each indicator are calculated through the analytic hierarchy process and entropy method. In order to overcome the subjective and one-sided shortcomings of the single weight determination method, the subjective weight and the objective weight are organically integrated through the distance function method to determine the combined weight of each indicator. The quantified result of big data quality is obtained through fuzzy calculation of membership degree. Finally the ranking results of the proposed method are compared with those of some existing multi-attribute decision-making (MADM) methods. The obtained results indicate that the proposed method is reasonable and efficient to deal with MADM problems. It can comprehensively measure the level of big data quality, and provide users with accurate and efficient quality evaluation results.

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Exploring a hierarchical model for circular economy transition through launching green marketing

Lu,

Ngo,

Tran

2023

Sustainable Development

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The hospitality industry has been highlighted as an important economic sector that is vulnerable to climate change. However, this industry is also considered to have a substantial contribution to the degradation of the environment by consuming excessive quantities of energy, producing approximately 8% of worldwide greenhouse gas emissions. Previous studies have proposed the circular economy as an optimal concept to address this issue by eliminating waste and maximizing resource utilization. In light of that, many hotels are striving to shift the traditional linear economy into a circular economy by adopting green marketing into their business operations. However, they still face many obstacles in making an effective transition to a circular‐style economy due to the lack of an appropriate approach. To fill this gap, this study aims to develop a framework to give insights on which aspects can foster the circular economy transition process through green marketing implementation. Therefore, this study proposes a hybrid method that integrates an exploratory factor analysis with a fuzzy synthetic method and a decision‐making trial and evaluation laboratory to structure the hierarchical model and provide guidance to decision‐makers for future improvements under resource constraints. The results reveal that advantage acquisition and behavior transition are the most influential aspects in accelerating the transition to the circular economy in the hospitality industry. The crucial theoretical and managerial implications are also discussed.

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Assessment of risks impeding sustainable mining in Pakistan using fuzzy synthetic evaluation

Cited by 47 publications

References 51 publications

Evaluation of the Performance of Mining Processes after the Strategic Innovation for Sustainable Development

Evaluation of the Performance of Mining Processes after the Strategic Innovation for Sustainable Development

Research on Comprehensive Evaluation of Data Source Quality in Big Data Environment

Exploring a hierarchical model for circular economy transition through launching green marketing

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