IMPLICATION OF GROUP COMPANY EXPANSION TO MONOPOLY PRCTICE AND UNFAIR BUSINESS COMPETITION (Study Case : Coal Mining Industry)

In relation with the coal mining business growth in Indonesia for the past 10 years, than it must also supported with the fulfillment of the applicable Laws, than the purpose of this disertationare, first, to know and to find the Laws which specifically regulates the expansion buoying of Group Company especially in coal mining sector.Second, to know about the implementation of Group Company expansion in coal mining sector. Third, to know, analyze, and to find the implication of Group Company expansion in mining sector toward monopoly practice and unfair business competition. The results of this research are, First, that the Law No. 4 Year 2009 regarding Mineral and Coal Mining regulates about the buoying of group company, mentioning that the IUP and IUPK owners are banned from involving their sister company and/or their affiliation in mining service industry located in their mining area, except they have the Minister’s License. Meanwhile maximum area ownership of IUP in group company is not restricted. Second, the most common group expansion in coal mining industry are by establishing holding company, acquisition and joint venture. The principal motive of these actions are economy and psychology. Third, group company expansion in coal mining industry implicates on abuseof dominant position and market control. The consequence are the addition of several new companies and also directly implies the ownership of the subsidiary's shares by the parent company. Of the 5 (five) coal mining companies studied when doing corporate actions, so that into 1 (one) group companies, the amount of coal production does not reach 50%. It is not proven to be denied Article 17 of Law no. 5 of 1999.

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Quantifying SWOT analysis for the Indian coal mining industry using Fuzzy DEMATEL

Benchmarking An International Journal ◽

10.1108/bij-06-2016-0089 ◽

2017 ◽

Vol 24 (4) ◽

pp. 882-902 ◽

Cited By ~ 4

Author(s):

Sorokhaibam Khaba ◽

Chandan Bhar

Keyword(s):

Coal Mining ◽

Swot Analysis ◽

Mining Industry ◽

Coal Industry ◽

Fuzzy Decision Making ◽

Quality Improvement Initiative ◽

Mining Sector ◽

Content Type ◽

Coal Mining Industry ◽

Indian Coal

Purpose The purpose of this paper is to quantify the strengths, weaknesses, opportunities and threats (SWOT) analysis for the Indian coal mining industry using Fuzzy Decision-Making Trial and Evaluation Laboratory. Design/methodology/approach After obtaining 17 factors from literature and expert opinion, an interview questionnaire was designed and tested to assure the content validity of questionnaire. A group of 15 qualified experts consisting of 4 professors from academic institutions and 11 management professionals from mining sector with substantial experience were consulted. Findings The result from causal relationship implied that the decision makers should focus on improving the ability of exploitation and production using quality improvement initiative such as lean production, developing research and development units for clean coal technology and working with strong exporters. This study also finds that foreign investment in mining sector is also a main factor that highly influences other factors. Research limitations/implications The study is based on personal judgments and the shortage of respondents limits the study to ensure the validity. Practical implications The stated strategies both for the government and industry through SWOT analysis could facilitate improved productivity of the Indian coal industry if adopted. Originality/value This paper demonstrates a process for quantitative SWOT analysis for the Indian coal mining industry that can be performed even when there is dependence among factors.

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A study on key lean enablers of the coal mining sector using ISM, MICMAC and SEM

The TQM Journal ◽

10.1108/tqm-04-2020-0069 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Sorokhaibam Khaba ◽

Chandan Bhar ◽

Ankita Ray

Keyword(s):

Conceptual Model ◽

Coal Mining ◽

Questionnaire Survey ◽

Coal Mines ◽

Mining Industry ◽

Mining Sector ◽

Lean Implementation ◽

Content Type ◽

Coal Mining Industry ◽

Indian Coal

PurposeThe purpose of this research is to identify and study the contextual relationships of the significant lean enablers in the Indian coal mining industry using the application of interpretive structural modeling (ISM), matrice d' impacts croisés-multiplication appliquée á un classement (MICMAC) and structural equation modeling (SEM).Design/methodology/approachIn this study, a conceptual model based on ISM was developed forming a hierarchy and contextual relationships of significant enablers for lean implementation in the Indian coal mining industry using a literature review and eliciting expert opinion, which is followed by MICMAC for grouping of enablers and questionnaire survey to validate the ISM based conceptual model using SEM.FindingsThe study modeled and analyzed ten significant enablers of lean implementation in the Indian coal mining industry. The findings suggest that the most important lean enablers in the Indian coal mining industry are employee empowerment, employee motivation and commitment, consistent financial performance measurement and management support.Research limitations/implicationsJudgmental sampling was used for selecting the respondents for conducting the questionnaire survey in this research work as there are a few numbers of coal mines implementing lean principles in India. Although the study was not restricted to a particular part of India with the sample representing the heterogeneous population, the study represents more data from the coal mines in eastern India.Practical implicationsThe model on lean enablers would help the researchers, decision-makers and practitioners to anticipate potential lean enablers in the Indian coal mines and rank the enablers for improved and efficient usage of the available resources creating value to customers with lean and to sustenance academic research on lean.Originality/valueStudies on lean enablers in the mining sector are scarce in the literature, and this study is a novel contribution of exploring lean enablers in the Indian coal mining industry using an integrated approach of ISM–MICMAC and SEM.

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COPPER SPECIATION IN TECHNOGENESIS AREA OF COAL MINING INDUSTRY (case of Vizeyska mine Chervonohrad mining area)

Collected scientific papers Institute of environmental geochemistry ◽

10.15407/znp2017.27.030 ◽

2017 ◽

Vol 27 ◽

pp. 30-49

Author(s):

V. Karabyn ◽

◽

I. Kochmar

Keyword(s):

Coal Mining ◽

Mining Industry ◽

Mining Area ◽

Coal Mining Industry ◽

Copper Speciation

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Smart Safety Helmet for Safe Coal Mining

Journal of Independent Studies and Research - Computing ◽

10.31645/jisrc.35.19.1.8 ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Beenish Fayyaz ◽

◽

Usman Shah ◽

Muhammad Zubair ◽

◽

...

Keyword(s):

Coal Mining ◽

Statistical Data ◽

Service Industry ◽

Underground Mining ◽

Mining Industry ◽

Developed Countries ◽

Coal Mining Industry ◽

Smart Safety ◽

Potential Disaster ◽

Safe Working

In any production and service industry, the safety of their workers/labors is very critical. The workers directly related with production are generally more prone to the threats because of their exposure to electro-mechanical, chemical, thermal, environmental, civil and other hazards. The coal mining industry in one of the most risky industries in terms of workers’ lives hazards. In the under-developed countries, any potential disaster in the underground mining turns into huge catastrophic losses of both the human lives and equipment. This paper presents some statistical data of mining disasters worldwide and propose an architecture for a smart helmet to be used by miners for their safe working inside the coalmines.

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