Economic valuation of coal deposits – The value of geological information in the resource recognition process

Kopacz, Michał; Kulpa, Jarosław; Galica, D.; Dyczko, Artur; Jarosz, Jacek

doi:10.1016/j.resourpol.2019.101450

Cited by 20 publications

(12 citation statements)

References 5 publications

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“…Technology improves and affect directly the profit (Blalock and Gertler, 2008); in the firm, the basic unit of the measurement unit is profit before depreciation, interest and tax (PBDITA); some are used as earning before interest, taxes depreciation, and amortisation (Kopacz et al , 2019). Similarly, Bellucci et al (2019) used PBDITA to measure the impact.…”

Section: Methodsmentioning

confidence: 99%

Measuring the impact of information and communication technology investment on the profitability of Indian manufacturing MSME

Joshi,

Matai,

Murthy

2024

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Purpose This study aims to investigate the impact of information and communication technology (ICT) investment on the micro, small and medium enterprises (MSME) profitability in the Indian context. Design/methodology/approach This study used a framework based on the ICT investment and firm size, measuring the impact on profit before depreciation, interest, tax and amortisation of MSME by taking a random sampling of 300 Indian MSME manufacturing firm’s secondary data from the Prowess database. This framework was analysed using the design of experiment (DoE) technique. Findings The study showed that ICT investment has a significant positive relationship with profitability. This study examines the different ICT investment levels to predict investment strategies and fine-tune profit targets. The critical finding is that ICT investment maximises profit at one million rupees. This discovery aids MSME leaders’ sustainable business decision-making. Research limitations/implications This study has an explicit limit to the Indian context, where the firm requirements of countries are different, and these findings need to be validated with many operating variables and applied to more firms with more data. Even so, as a theoretical implication, this study took a novel approach to ICT adoption (through ICT investment) in the Indian MSME sector with guiding levels of ICT investment for each type of firm (i.e. micro, small and medium). This study opens new avenues for investigating researchers and stakeholders by exploring other factors responsible for ICT adoption. Practical implications This study uniquely provides practitioners with the functional level of ICT investment for MSMEs in the Indian context. These finding guides top management to make strategic ICT adoption decisions with information symmetry. At the same time, these findings suggest financial institutions astern their credit programme to provide credit for ICT investment in MSMEs. Social implications This study highlights the value of ICT as a practical resource for business owners that significantly makes MSMEs more informed and profitable, thus creating more jobs and incrementing the country’s gross domestic product (GDP). Originality/value This study offers unique empirical findings on how decision makers in MSMEs maximise profits through optimal ICT investment levels depending upon the firm size in an emerging economy like India. There is evidence in the study to conclude that ICT is a need of MSME and has implications for firm performance.

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Section: Methodsmentioning

confidence: 99%

Measuring the impact of information and communication technology investment on the profitability of Indian manufacturing MSME

Joshi,

Matai,

Murthy

2024

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“…The interpolation has helped construct isoline plan of predictive magnetic iron content (Figs. [4][5][6].…”

Section: Figure 3 Dependence Of Magnetic Ore Content Between the Test...mentioning

confidence: 99%

“…Scheduling of operations as well as achieving of output with the specified content of useful component is one of the most important missions of mining. The abovementioned should involve systematic designing and modeling of a mining enterprise operations and production processes at the opening stage [1]- [4]. To solve the problem, the fullest idea of mining and geological conditions of a deposit is required in addition to its geometry and spatial arrangement of excavating and technological indices.…”

Section: Introductionmentioning

confidence: 99%

Predictive geometrization of grade indices of an iron-ore deposit

Peremetchyk¹,

Kulikovskaya²,

Shvaher³

et al. 2022

Min. miner. depos.

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Purposeis development of the methods to predict indices of iron-ore deposits relying upon the improvement of available techniques as well as formulation of new geometrization procedures and identification of the most adequate decision-making way to assess geological data as the basis for geometrization and prediction. Methods are to develop a self-organizing prediction algorithm based upon combination of the available techniques and formulation of new mathematical methods; consider various means to assess them in the context of iron-ore deposit; and select the most efficient one. Use of geostatistical methods makes it possible to evaluate and process output geological information. The methods help assess mineral reserves of a mining enterprise. Findings. Dependencies of magnetite ore content upon geological factors have been derived in the context of an open pit of PIVDGZK JSC. The deposit has been geometrized; predictive mining and geometric model of the deposit site has been deve-loped. Factors have been determined influencing the distribution nature of the indices. Graphs to arrange grade indices of the deposit have been constructed. The graphs have helped predict their placement within the deposit. Originality. A method to predict mining and geological indices of iron-ore deposit has been developed relaying upon a self-organizing algorithm. Correlation between grade indices of minerals and different geological factors has been determined making it possible to describe spatial distribution of grade indices of the deposit. Practical implications. Geometrization methods for iron-ore deposits have been formulated. The methods help schedule mining operations accurately while improving their efficiency. The developed predictive self-organizing algorithm is the flexible tool used for various mining and geological conditions to provide scheduling and assessing of different mining methods. The self-organizing as well as geostatic evaluation techniques is quite a promising research tendency.

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“…the system construction was started from ordering the area of quality management, Diagram 1, where the results of scientific research were taken into account (Grudowski 2004;Wojtowicz 2003, Kopacz et al 2019Dyczko 2021aDyczko , 2022aDyczko et al 2020), which confirms that the implementation and operation of a quality-management system provides numerous benefits.…”

Section: Introductionmentioning

confidence: 95%

The geological modelling of deposits, production designing and scheduling in the JSW SA Mining Group

2023

Gospodarka Surowcami Mineralnymi - Mineral Resources Management

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Economic valuation of coal deposits – The value of geological information in the resource recognition process

Cited by 20 publications

References 5 publications

Measuring the impact of information and communication technology investment on the profitability of Indian manufacturing MSME

Measuring the impact of information and communication technology investment on the profitability of Indian manufacturing MSME

Predictive geometrization of grade indices of an iron-ore deposit

The geological modelling of deposits, production designing and scheduling in the JSW SA Mining Group

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