scholarly journals Evaluation of Level and Growth Factors of Mining Companies

2020 ◽  
Vol 174 ◽  
pp. 03007
Author(s):  
Viktoriia Frolova ◽  
Olga Borisova ◽  
Nadezhda Filimonova
Keyword(s):  
Growth Factors ◽  
Real Time ◽  
Business Model ◽  
Mining Industry ◽  
Digital Technologies ◽  
Mining Companies ◽  
Reasonable Choice

The article reflects some aspects of the authors’ research on issues related to the growth of mining companies. The authors analyzed the main approaches to assessing growth, revealed correlation dependencies between them, as well as factors of the industry and macroeconomic level. The study allows concluding that not all proposed models show the same dynamic trends, as a result, the authors proposed a reasonable choice of one of the models. The authors found that the important factors the development of which is necessary for the growth of companies and the mining industry as a whole are the restructuring of the business model, the transition to more active use of digital technologies and overcoming the effects of the pandemic. In addition, it is important for companies to maintain demand for their products, the achievement of which feasible through access to e- commerce sites and real-time trading.

scholarly journals Infrastructural surveillance

2019 ◽  
Vol 22 (8) ◽  
pp. 1414-1436 ◽  
Author(s):  
Alex Gekker ◽  
Sam Hind
Keyword(s):  
Real Time ◽  
Business Model ◽  
Autonomous Vehicles ◽  
Digital Technologies ◽  
Sovereign Power ◽  
Ongoing Debate ◽  
New Model ◽  
The Creation ◽  
Computer Privacy ◽  
Modes Of Governance

This article proposes a new model of privacy: infrastructural surveillance. It departs from Agre’s classic distinction between surveillance and capture by examining the sociotechnical claims of connected and autonomous vehicles (CAVs) as requiring totalising surveillance of passengers and environment in order to operate. By doing so, it contributes to the ongoing debate on the commodification and platformisation of life, paying attention to the under-explored infrastructural requirements of certain digital technologies, rather than its business model. The article addresses four distinct characteristics of infrastructural surveillance: the aggregation of data, initialisation of protocols limiting possible actions, the prioritisation of distributed modes of governance and the enclosure of the driver in a personalised bubble of sovereign power. Ultimately, unlike previous modes of computer privacy in which activities are being constructed in real time from a set of institutionally standardised parts specified by a captured ontology, we observe the creation of new ontologies.

scholarly journals Digitalization in the Mining Industry

2021 ◽  
pp. 184-192
Author(s):  
O. E. Kalenov
Keyword(s):  
Mining Industry ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Decisive Factor ◽  
Ecological Efficiency ◽  
Mining Companies ◽  
Production Processes ◽  
Advanced Technologies ◽  
Labour Costs ◽  
The World

Competitiveness of mining enterprises is determined, mainly by their productivity and operation superiority. Digitalization becomes a decisive factor, which can provide an opportunity to companies of this sphere to remain competitive in the future. In mining industry passing-over to new, advanced methods of work usually happens more slowly due to the scale and complexity of production processes and considerable costs necessary for re-equipment. That is why certain enterprises of this field use digital technologies without enthusiasm. However, the leading mining companies in the world invest vast funds in development of advanced technologies in power engineering and automation in order to increase mining and ecological efficiency, to cut the volume of hand labour, costs and power expenses. It is obvious that digital technologies can give new opportunities for serious rise in productivity and profit. The article studies key lines in digital transformation at mining enterprises, demonstrates basic advantages and potential threats. The authors analyze both foreign and Russian examples of effective digitalization at enterprises of this sphere.

Retreading Tire Management with Business Intelligence

2012 ◽  
Vol 3 (4) ◽  
pp. 54-73
Author(s):  
Scott Collier ◽  
Dana Edberg ◽  
David Croasdell
Keyword(s):  
Real Time ◽  
Business Intelligence ◽  
Historical Data ◽  
Mining Industry ◽  
Application Domain ◽  
Deep Knowledge ◽  
Intelligence System ◽  
Mining Companies ◽  
Heavy Equipment ◽  
Manufactured Products

Justifying the development of a business intelligence system is challenging when the primary beneficiaries of the system are internal to the company responsible for that development; it is even harder to justify when the system is designed to produce a new service that is radically different than current in-house manufactured products. This case explores the possibility of a tire manufacturer developing a business intelligence system to help their customers manage very large heavy equipment tires within the mining industry. These tires are one of the biggest expenses for mining companies and this case discusses the opportunity to use business intelligence to manage that expense. This case encourages discussion of such topics as: the issues involved in system initiation from technology personnel, the need to incorporate both real-time and historical data in a system, the need for technology personnel to have deep knowledge of an application domain, and the challenges that arise from integrating data produced by disparate systems.

Digital Transformation: a Prerequisite and Foundation for Sustainable Development of Mining Operations

2021 ◽  
pp. 74-78
Author(s):  
M.V. Rylnikova ◽  
K.I. Strukov ◽  
D.N. Radchenko ◽  
E.N. Esina
Keyword(s):  
Sustainable Development ◽  
Intelligent Systems ◽  
Information Technologies ◽  
Business Processes ◽  
Mining Industry ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Mineral Deposits ◽  
Mining Operations ◽  
Mining Companies

The paper analyzes the development trends in digital transformation of mining operations, which involves introduction of digital technologies into various business processes with mining companies. The main stages in transition to the new technological modes in mining of mineral deposits using intelligent systems and digital technologies are identified with due account for the specific features of the mining industry. The main ways of methodological support for the ESG rating of mining companies are proposed. It is shown that in the development of scientific and methodological foundations of sustainable development of mining operations it is important to justify the design principles for information technologies to work with Big Data to solve issues concerned with designing, operation, conservation and closure of mining operations..

Covid-19 and Mining industry

2020 ◽  
pp. 10-18 ◽  
Author(s):  
V.B. Kondratiev
Keyword(s):  
Mining Industry ◽  
Commodity Markets ◽  
Current Crisis ◽  
Mining Companies ◽  
The World ◽  
Commodity Demand ◽  
Long Term Impact

The COVID-19 pandemic has affected the commodity markets and mining industry around the world in different ways. Mining company’s operations have been hit by coronavirus outbreaks and government-mandated production stops. Demand for many commodities remains low. This paper examines the potential long-term impact of the COVID-19 pandemic on future commodity demand, mining prospects, as well as tactical and strategic steps by mining companies to overcome the current crisis quickly and effectively.

scholarly journals Literature review on business prototypes for digital platform

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Shrutika Mishra ◽  
A. R. Tripathi
Keyword(s):  
Literature Review ◽  
Business Model ◽  
Business Models ◽  
Digital Technologies ◽  
Digital Platform ◽  
New Business ◽  
Start Ups ◽  
The Way

Abstract In today’s world, many digitally enabled start-ups are budding all over the globe because of the fast enhancement in digital technologies. For the establishment of new business, it is necessary to adopt a proper business model which needs to define the way in which the company will provide values and the ways in which the customers can pay for their services. This paper aims to study the various business models being used in today’s marketplace and to provide a better understanding for these business models by having an insight on the attributes.

Integrating sustainability in business model disclosure: Evidence from the UK mining industry

2018 ◽  
Vol 171 ◽  
pp. 1161-1170 ◽  
Author(s):  
Laura Bini ◽  
Marco Bellucci ◽  
Francesco Giunta
Keyword(s):  
Business Model ◽  
Mining Industry ◽  
The Uk

“Enabling circular business models in the fashion industry: the role of digital innovation”

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Phuc Hong Huynh
Keyword(s):  
Business Model ◽  
Circular Economy ◽  
Business Models ◽  
Digital Technologies ◽  
Theory And Practice ◽  
Chain Model ◽  
Fashion Industry ◽  
Digital Innovation ◽  
Content Type ◽  
Radical Innovations

PurposeDigital innovation and circular business model innovation are two critical enablers of a circular economy. A wide variety of digital technologies such as blockchain, 3D printing, cyber-physical systems, or big data also diverges the applications of digital technologies in circular business models. Given heterogeneous attributes of circular business models and digital technologies, the selections of digital technologies and circular business models might be highly distinctive within and between sectorial contexts. This paper examines digital circular business models in the context of the fashion industry and its multiple actors. This industry as the world’s second polluting industry requires an urgent circular economy (CE) transition with less resource consumption, lower waste emissions and a more stable economy.Design/methodology/approachAn inductive, exploratory multiple-case study method is employed to investigate the ten cases of different sized fashion companies (i.e. large, small medium-sized firm (SME) and startup firms). The comparison across cases is conducted to understand fashion firms' distinct behaviours in adopting various digital circular economy strategies.FindingsThe paper presents three archetypes of digital-based circular business models in the fashion industry: the blockchain-based supply chain model, the service-based model and the pull demand-driven model. Besides incremental innovations, the radical business model and digital innovations as presented in the pull demand-driven model may be crucial to the fashion circular economy transition. The pull demand–driven model may shift the economy from scales to scopes, change the whole process of how the fashion items are forecasted, produced, and used, and reform consumer behaviours. The paths of adopting digital fashion circular business models are also different among large, SMEs and startup fashion firms.Practical implicationsThe study provides business managers with empirical insights on how circular business models (CBMs) should be chosen according to intrinsic business capacities, technological competences and CE strategies. The emerging trends of new fashion markets (e.g. rental, subscription) and consumers' sustainable awareness should be not be neglected. Moreover, besides adopting recycling and reuse strategies, large fashion incumbents consider collaborating with other technology suppliers and startup companies to incubate more radical innovations.Social implicationsAppropriate policies and regulations should be enacted to enable the digital CE transition. Market patterns and consumer acceptances are considered highly challenging to these digital fashion models. A balanced policy on both the demand and supply sides are suggested. The one-side policy may fail CBMs that entail an upside-down collaboration of both producers and consumers. Moreover, it is perhaps time to rethink how to reduce unnecessary new demand rather than repeatedly producing and recycling.Originality/valueThe pace of CE research is lagging far behind the accelerating environmental contamination by the fashion industry. The study aims to narrow the gap between theory and practice to harmonise fashion firms' orchestration and accelerate the transition of the fashion industry towards the CE. This study examines diverse types of digital technologies in different circular business models in a homogeneous context of the fashion industry with heterogeneous firm types.

The impact of the integrated reporting framework on corporate social responsibility (CSR) disclosures – the case of South African mining companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Barry Ackers ◽  
Susanna Elizabeth Grobbelaar
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
South African ◽  
Mining Industry ◽  
Integrated Reporting ◽  
Content Type ◽  
Stakeholder Orientation ◽  
Mining Companies ◽  
Corporate Social ◽  
The Impact

Purpose Despite initially being lauded as a revolutionary approach for companies to account to all stakeholders, the shareholder orientation of the international integrated reporting (<IR>) framework gave rise to questions about whether integrated reports would still sufficiently disclose pertinent corporate social responsibility (CSR) information. This paper aims to investigate the extent to which the <IR> framework has impacted the CSR disclosures contained in integrated reports of South African mining companies. Design/methodology/approach The study deployed a mixed methods research approach, involving thematic content analysis of the CSR disclosures contained in the integrated reports of mining companies with primary listings on the Johannesburg Stock Exchange. The resultant qualitative data were subsequently analysed using a T-test of difference. Findings The study observes that the release of the <IR> framework appears to have had a limited impact on the CSR disclosures in the integrated reports of most companies included in the study. However, where significant differences were identified, the CSR disclosures of some companies were positively impacted after the release of the <IR> framework, whilst others were negatively impacted. Research limitations/implications As South Africa is acknowledged as a leader in the global <IR> movement, the paper’s observations have global relevance and suggest that the fundamental principles of <IR> should be reconsidered to improve the alignment with stakeholders’ information needs, as originally conceived. Originality/value Despite the shareholder orientation of the <IR> framework, the global mining industry is acknowledged as being at the forefront of implementing CSR interventions to mitigate the adverse impacts of their operations on stakeholders, supporting a stakeholder orientation. As the adoption of <IR> continues to gain traction around the world, this paper’s contribution is that it represents one of the few papers to use the global reporting initiative G4 indicators to specifically examine the impact of <IR> framework on the CSR disclosures on the South African mining industry, where both <IR> and CSR reporting are quasi-mandatory disclosure requirements.

Industry First AI-Powered Fully Automated Safety Observation System Deployed to Global Offshore Fleet

2021 ◽  
Author(s):  
Nassima Brown ◽  
Adrian Brown ◽  
Abhijeet Degupta ◽  
Barry Quinn ◽  
Dustin Stringer ◽  
...  
Keyword(s):  
Real Time ◽  
Safety Culture ◽  
Safety Management ◽  
Digital Technologies ◽  
Observation System ◽  
Safety Program ◽  
Effective Application ◽  
Behavior Based ◽  
Global Operations ◽  
The Impact

Abstract As the oil and gas industry is facing tumultuous challenges, adoption of cutting-edge digital technologies has been accelerated to deliver safer, more efficient operations with less impact on the environment. While advanced AI and other digital technologies have been rapidly evolving in many fields in the industry, the HSE sector is playing catch-up. With the increasing complexity of risks and safety management processes, the effective application of data-driven technologies has become significantly harder, particularly for international organizations with varying levels of digital readiness across diverse global operations. Leaders are more cautious to implement solutions that are not fit-for purpose, due to concerns over inconsistencies in rolling out the program across international markets and the impact this may have on ongoing operations. This paper describes how the effective application of Artificial intelligence (AI) and Machine Learning (ML) technologies have been used to engineer a solution that fully digitizes and automates the end-to-end offshore behavior-based safety program across a global offshore fleet; optimizing a critical safety process used by many leading oil & gas organization to drive positive workplace safety culture. The complex safety program has been transformed into clear, efficient and automated workflow, with real-time analytics and live transparent dashboards which detail critical safety indicators in real time, aiding decision-making and improving operational performance. The novel behavior-based safety digital solution, referred to as 3C observation tool within Noble drilling, has been built to be fully aligned with the organization's safety management system requirements and procedures, using modern and agile tools and applications for fully scalability and easy deployment. It has been critical in sharpening the offshore safety observation program across global operations, resulting in a boost of the workforce engagement by 30%, and subsequently increasing safety awareness skill set attainment; improving overall offshore safety culture, all while reducing operating costs by up to 70% and cutting carbon footprint through the elimination of 15,000 manhours and half a million paper cards each year, when compared to previously used methods and workflows

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