Performance evaluation of outsourcing decision using a BSC and Fuzzy AHP approach: A case of the Indian coal mining organization

Modak, Mousumi; Pathak, Khanindra; Ghosh, Kunal Kanti

doi:10.1016/j.resourpol.2017.03.002

Cited by 57 publications

(36 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The last area of criteria determining the development of an underground hard coal mine is the economic conditions (IV), which affect the price attractiveness and efficiency of hard coal extraction from a given mine [86][87][88]. The first indicator in this group is the relation of price of one tonne to the cost of extraction of one tonne (17).…”

Section: Economic Areamentioning

confidence: 99%

Method for Assessing the Development of Underground Hard Coal Mines on a Regional Basis: The Concept of Measurement and Research Results

Jonek-Kowalska

2018

Energies

View full text Add to dashboard Cite

The functioning and development of the extractive industry depends on many unusual conditions that are not found in other industries, such as the size of deposits, the level of natural and technical hazards, geographic location, or the method of mineral extraction (open pit or underground). Therefore, it is difficult to use universal development assessment methods for such specific production units. As a result, the research undertaken in this article aims to develop an indicator method for evaluating the development potential of underground hard coal mines. This method is based on a theoretical and practical analysis of the conditions of functioning of hard coal mines, expert research, and multiple case studies verifying the operation of the presented development indicator. The first part of the article is devoted to identifying and analyzing the criteria for assessing the functioning of underground hard coal mines. Next, the essence and methodology of creating and interpreting the proposed indicator was presented. The second part of the article is empirical, and contains the results of the assessment carried out using the developed indicators for five Polish hard coal mines for the years 2011-2015. The results of the research indicate that the most important factors in the development of hard coal mines relate to the geological and mining conditions, and those concerning natural hazard levels. However, during the functioning, the financial conditions and related production conditions, which ultimately determine the survival and development of underground mining plants, gain in significance.

show abstract

Section: Economic Areamentioning

confidence: 99%

Method for Assessing the Development of Underground Hard Coal Mines on a Regional Basis: The Concept of Measurement and Research Results

Jonek-Kowalska

2018

Energies

View full text Add to dashboard Cite

show abstract

“…According to the design principle and ideas of performance evaluation system, the Enterprise Performance Evaluation Standard Value 2016 and enterprise business performance evaluation method at home and abroad [2] , EVA-BSC based performance evaluation system is structured based on current operation of Shaanxi listed companies as shown in Table 1. It contains EVA and other 12 gradeⅡ indicators, and four dimensions, namely, finance, customer, internal process, learning and growth.…”

Section: Design Of Eva-bsc Business Performance Evaluation System Formentioning

confidence: 99%

On the Evaluation System of EVA-BSC Business Performance of Listed Companies in Shaanxi Province

Deng¹

2018

Proceedings of the 2018 3rd International Conference on Education, E-Learning and Management Technology (EEMT 2018)

View full text Add to dashboard Cite

Based on the current performance evaluation of the listed companies in Shaanxi Province, the EVA-BSC operating performance evaluation system of listed companies in Shaanxi Province is constructed with consideration of the advantages of EVA financial indicators and BSC non-financial indicators. Prior to it, the EVA financial indicators that reflect the value creation ability of the enterprise and the BSC indicators oriented by the strategic non-financial indicators performance test have been analyzed. This paper conducted an empirical research on the financial performance data of 41 listed companies in Shaanxi Province in 2017, and verified the validity and practical application value of the EVA-BSC business performance evaluation system. It is found that the EVA-BSC business performance rankings of 15 companies are generally consistent with the EVA value rankings, and the rankings of the other 26 companies differed from the EVA value rankings, which, to some extent, proved the EVA-BSC evaluation system's comprehensiveness of the evaluation of business performance, and had a good practical application value. 1. Situation of Performance Evaluation in Shaanxi Listed Companies By the end of 2017, there were 46 listed companies in Shaanxi Province, covering various industries ranging from manufacturing, finance, mining, wholesale and retail, tourism, accommodation and catering, publishing and printing, power and gas, to broadcasting and television. Among them, 28 were manufacturing enterprises, accounting for 61% of the total number of listed companies in Shaanxi Province; 4 mining companies accounted for 8%. After analyzing the financial reports of 46 listed companies in 2017, it is found that these companies shared some issues in common regarding business performance evaluation. 1. Financial indicator is heavily weighted to maximize profits. The performance evaluation indicators of listed companies in Shaanxi Province mainly include sales net interest rate, return on equity, and profit margin of main business, etc. These financial indicators do not promote to the growth and development of the company. 2. Cost of equity capital has been overlooked. The value created by excessive investment by listed companies in Shaanxi Province is less than the cost of equity capital; 3. There is inadequate attention on non-financial indicators. Although many listed companies in Shaanxi Province began to pay attention to non-financial indicators, they are lopsided with little proportion and subjective, failing to meet the expected performance evaluation goals. 2. EVA-BSC Based Performance Evaluation System for Shaanxi Listed Companies 2.1 Necessity and feasibility of coupling EVA and BSC 2.1.1 Realize organic integration of financial and non-financial indicators Theoretically, financial indicators and non-financial indicators are important components of corporate performance evaluation system. Only by combining the two can we effectively achieve corporate strategic performance evaluation goals. The traditional financial performance ...

show abstract

“…From the function of performance evaluation itself, performance evaluation theory shows that performance evaluation is a management control tool to implement organizational strategy. By comparing the differences between learning outcomes and learning objectives in the process of cooperative innovation based on performance evaluation, enterprises can dynamically track the process of strategy implementation and find problems in management [4,[6][7][8]11]. Moreover, learning performance evaluation can provide feedback for the next innovation planning of enterprises by analyzing the deviation of past performance.…”

Section: Introductionmentioning

confidence: 99%

“…Lee and Choi [30] decomposed the sequential Malmquist-Luenburger index into two indicators, efficiency change and technology change, and evaluated the environmental performance of Korean manufacturing industry using Malmquist-Luenburger index and generalized directional distance function. In addition, the above traditional performance evaluation methods including AHP [11], BSC [31], and EVA [32] mostly assume that attributes are independent of each other. However, attributes are not always independent, and there are always some interaction relationships, such as complementarity, redundancy, and preference.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Enterprise Learning Performance in the Process of Cooperation Innovation Using Heronian Mean Operator

Yin

2019

Mathematical Problems in Engineering

View full text Add to dashboard Cite

In order to clarify the achievement and efficiency of enterprise learning in the process of cooperative innovation, a comprehensive criteria framework for the evaluation of enterprise learning performance is constructed taking the learning process and learning results as the construction idea based on organizational learning theory. And this paper proposes a novel dynamic evaluation method considering the interaction between attributes of learning performance. In this study, the criterion framework for the evaluation of enterprise learning performance in the process of cooperative innovation includes learning process performance and learning outcomes performance. The original matrices are given by managers and experts using fuzzy set theory, and a dynamic time sequence weight vector is calculated based on information entropy and time degree. The weight of learning performance attributes under different time series is calculated based on entropy measure method. The interactive information of learning performance attributes is integrated through the weight of learning performance attributes and the three-parameter weighted Heronian mean operator considering the interaction between attributes. And then, the dynamic and comprehensive evaluation result of learning performance in the process of cooperative innovation could be computed by integrating the learning performance information under different time series with time sequence weight vector. Finally, a real case is studied to verify the scientificity and validity of the criteria framework for the evaluation of enterprise learning performance and the method proposed in this study. This study not only helps cooperative enterprises get feedback in time and adjust cooperative relationships and learning styles but also enriches the theory of interorganizational management and provides a theoretical basis for the process of enterprise cooperative innovation.

show abstract

Performance evaluation of outsourcing decision using a BSC and Fuzzy AHP approach: A case of the Indian coal mining organization

Cited by 57 publications

References 28 publications

Method for Assessing the Development of Underground Hard Coal Mines on a Regional Basis: The Concept of Measurement and Research Results

Method for Assessing the Development of Underground Hard Coal Mines on a Regional Basis: The Concept of Measurement and Research Results

On the Evaluation System of EVA-BSC Business Performance of Listed Companies in Shaanxi Province

Evaluation of Enterprise Learning Performance in the Process of Cooperation Innovation Using Heronian Mean Operator

Contact Info

Product

Resources

About