High-Tech Spin-Offs’ Operational Risk Assessment System

2010 ◽  
Vol 40-41 ◽  
pp. 968-973
Author(s):  
Li Ma ◽  
Li Hua Li
Keyword(s):  
Evaluation Model ◽  
Operational Risk ◽  
Sustainable Growth ◽  
Assessment System ◽  
High Tech ◽  
Mathematical Methods ◽  
Operational Risks ◽  
Overall Evaluation ◽  
Hierarchical Index ◽  
Hierarchy Process

This paper analyzes the sources of high-tech spin-offs’ operational risks, establishes a multifactor hierarchical index system and applies Analytical Hierarchy Process and fuzzy mathematical methods to build a fuzzy overall evaluation model. This research can provide a useful tool to help high-tech spin-offs scientifically assess their operational risk degree in order to formulate corresponding countermeasures to evade the risks, and realize sustainable growth.

High-tech business in crisis conditions: development trends of large, medium and small enterprises

2020 ◽  
Vol 18 (4) ◽  
pp. 48-58
Author(s):  
Vladislav V. Spitsyn ◽  
Alexander A. Mikhal'chuk ◽  
Anastasia A. Bulykina ◽  
Svetlana N. Popova ◽  
Irina E. Nikulina
Keyword(s):  
Small Businesses ◽  
Negative Impact ◽  
Service Industries ◽  
High Tech ◽  
Small Enterprises ◽  
Mathematical Methods ◽  
Crisis Period ◽  
Knowledge Intensive ◽  
Crisis Conditions ◽  
Medium And Small Enterprises

Leading world countries view innovative development and high-tech business as an opportunity to overcome economic stagnation and decline in economic growth. One of the modern trends in the analysis of high-tech development is the study of high-tech knowledge-intensive service industries and their development in times of crisis. The purpose of the paper is to identify patterns of development of large, medium and small enterprises in high-tech service industries in Russia during periods of crisis. Economic and economic-mathematical methods of analysis are applied to the formed samples of enterprises. The research period is 2013-2017. The financial indicators of enterprises were adjusted for the level of accumulated inflation in relation to 2013. According to results, large and medium-sized enterprises showed insignificant or weak significant positive dynamics of revenue during all years of the crisis period. The crisis period did not lead to a decrease in the revenue of these groups of enterprises. The acute phase of the crisis (2014-2015) had a pronounced negative impact on the group of small enterprises in all studied industries, but they successfully recovered in 2016-2017 and reached the pre-crisis level of revenue. The total revenue by industries and groups of enterprises in 2017 became higher than in 2013, and its growth rates were significant for many groups of enterprises, which indicates a successful overcoming of the crisis period and signs of growth in high-tech service industries. Our study shows the need for state support for small businesses in high-tech service industries in crisis conditions, and identifies the possibilities of adaptation of enterprises in these industries to an unfavorable external environment. Our results may be useful for the purposes of government stimulation of economic development in the current environment.

Constructing and Evaluating a Validation Argument for a Next-Generation Alternate Assessment

2020 ◽  
Author(s):  
Amy K. Clark ◽  
Meagan Karvonen
Keyword(s):  
Data Collection ◽  
Assessment System ◽  
Alternate Assessment ◽  
Theory Of Action ◽  
Validity Evidence ◽  
Dynamic Learning ◽  
Alternate Assessments ◽  
Overall Evaluation ◽  
Computer Based ◽  
Achievement Standards

Alternate assessments based on alternate achievement standards (AA-AAS) have historically lacked broad validity evidence and an overall evaluation of the extent to which evidence supports intended uses of results. An expanding body of validation literature, the funding of two AA-AAS consortia, and advances in computer-based assessment have supported improvements in AA-AAS validation. This paper describes the validation approach used with the Dynamic Learning Maps® alternate assessment system, including development of the theory of action, claims, and interpretive argument; examples of evidence collected; and evaluation of the evidence in light of the maturity of the assessment system. We focus especially on claims and sources of evidence unique to AA-AAS and especially the Dynamic Learning Maps system design. We synthesize the evidence to evaluate the degree to which it supports the intended uses of assessment results for the targeted population. Considerations are presented for subsequent data collection efforts.

scholarly journals Evaluating the Application of CSR in the High-Tech Industry during the COVID-19 Pandemic

Mathematics ◽  
2021 ◽  
Vol 9 (15) ◽  
pp. 1715
Author(s):  
Shih-Chia Chang ◽  
Ming-Tsang Lu ◽  
Mei-Jen Chen ◽  
Li-Hua Huang
Keyword(s):  
Management Practices ◽  
Social Issues ◽  
Empirical Studies ◽  
Multiple Criteria Decision Making ◽  
Sustainable Growth ◽  
High Tech ◽  
High Tech Industry ◽  
Continuous Growth ◽  
Csr Strategies ◽  
Corporate Social

Since its conception, corporate social responsibility (CSR) has seen continuous growth and become a highly discussed issue. In this paper, we propose an evaluation of how the COVID-19 pandemic could impact CSR applications. The pandemic has provided an opportunity for commerce to move on to being more authentic, to offer genuine CSR applications and to contribute toward dealing with pressing environmental and social issues. Hence, this purpose of the research is to obtain a better understanding of whether the integration of environment, social, corporate governance and economic (ESGE) aspects into CSR strategies can support sustainable development toward more sustainable growth during the COVID-19 pandemic. To meet this challenge, we offer a mixture multiple-criteria decision making (MCDM) model. Very few empirical studies have discussed CSR in the high-tech industry and proposed strategies and planning for ESGE efficiency. Using interviews with experts and a literature review, we identify the elements related to actual practices of the high-tech industry’s appraisal and the integrated MCDM techniques to suggest efficient enhancement models. The best worst method (BWM) and modified VIKOR are implemented to estimate the strategic weights and the gaps of the aspiration value. The results are valuable for classifying the priorities of CSR and are therefore helpful for those who are associated with high-tech industry management, practices and implementation.

scholarly journals Cyber operational risk scenarios for insurance companies

2019 ◽  
Vol 24 ◽  
Author(s):  
R. Egan ◽  
S. Cartagena ◽  
R. Mohamed ◽  
V. Gosrani ◽  
J. Grewal ◽  
...  
Keyword(s):  
Cyber Security ◽  
Operational Risk ◽  
Social Engineering ◽  
Insurance Companies ◽  
List Type ◽  
Operational Risks ◽  
Life Insurer ◽  
Cyber Risk ◽  
The Impact ◽  
Over Time

AbstractCyber Operational Risk: Cyber risk is routinely cited as one of the most important sources of operational risks facing organisations today, in various publications and surveys. Further, in recent years, cyber risk has entered the public conscience through highly publicised events involving affected UK organisations such as TalkTalk, Morrisons and the NHS. Regulators and legislators are increasing their focus on this topic, with General Data Protection Regulation (“GDPR”) a notable example of this. Risk actuaries and other risk management professionals at insurance companies therefore need to have a robust assessment of the potential losses stemming from cyber risk that their organisations may face. They should be able to do this as part of an overall risk management framework and be able to demonstrate this to stakeholders such as regulators and shareholders. Given that cyber risks are still very much new territory for insurers and there is no commonly accepted practice, this paper describes a proposed framework in which to perform such an assessment. As part of this, we leverage two existing frameworks – the Chief Risk Officer (“CRO”) Forum cyber incident taxonomy, and the National Institute of Standards and Technology (“NIST”) framework – to describe the taxonomy of a cyber incident, and the relevant cyber security and risk mitigation items for the incident in question, respectively.Summary of Results: Three detailed scenarios have been investigated by the working party:∙Employee leaks data at a general (non-life) insurer: Internal attack through social engineering, causing large compensation costs and regulatory fines, driving a 1 in 200 loss of £210.5m (c. 2% of annual revenue).∙Cyber extortion at a life insurer: External attack through social engineering, causing large business interruption and reputational damage, driving a 1 in 200 loss of £179.5m (c. 6% of annual revenue).∙Motor insurer telematics device hack: External attack through software vulnerabilities, causing large remediation / device replacement costs, driving a 1 in 200 loss of £70.0m (c. 18% of annual revenue).Limitations: The following sets out key limitations of the work set out in this paper:∙While the presented scenarios are deemed material at this point in time, the threat landscape moves fast and could render specific narratives and calibrations obsolete within a short-time frame.∙There is a lack of historical data to base certain scenarios on and therefore a high level of subjectivity is used to calibrate them.∙No attempt has been made to make an allowance for seasonality of renewals (a cyber event coinciding with peak renewal season could exacerbate cost impacts)∙No consideration has been given to the impact of the event on the share price of the company.∙Correlation with other risk types has not been explicitly considered.Conclusions: Cyber risk is a very real threat and should not be ignored or treated lightly in operational risk frameworks, as it has the potential to threaten the ongoing viability of an organisation. Risk managers and capital actuaries should be aware of the various sources of cyber risk and the potential impacts to ensure that the business is sufficiently prepared for such an event. When it comes to quantifying the impact of cyber risk on the operations of an insurer there are significant challenges. Not least that the threat landscape is ever changing and there is a lack of historical experience to base assumptions off. Given this uncertainty, this paper sets out a framework upon which readers can bring consistency to the way scenarios are developed over time. It provides a common taxonomy to ensure that key aspects of cyber risk are considered and sets out examples of how to implement the framework. It is critical that insurers endeavour to understand cyber risk better and look to refine assumptions over time as new information is received. In addition to ensuring that sufficient capital is being held for key operational risks, the investment in understanding cyber risk now will help to educate senior management and could have benefits through influencing internal cyber security capabilities.

Water abundance analysis of aquifer in coal roof based on grey relational analysis and analytic hierarchy process

2016 ◽  
Vol 11 (2) ◽  
pp. 487-494
Author(s):  
Li Bo
Keyword(s):  
Analytic Hierarchy Process ◽  
Grey Relational Analysis ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Water Abundance ◽  
Relational Analysis ◽  
Major Factors ◽  
Grey Relational ◽  
Hierarchy Process

As water abundance of aquifer of coal roof significantly influences roof water hazard, evaluating and grading the degree of water abundance are important in practical application. By analyzing the influencing factors of water abundance of aquifer, an evaluation index system and a grading standard for the water abundance were established integrating quantitative and qualitative indexes. Meanwhile, according to the grey relation characteristics of the major factors influencing water abundance, a multi-factor evaluation model for water abundance was constructed based on grey relational analysis and analytic hierarchy process. The model can objectively reveal the influences of the multiple factors on the evaluation of water abundance. Furthermore, the method was verified by comprehensively evaluating the water abundance of the aquifer of coal roof in a working face of Pingshuo Coal Mine in Shanxi, China using the model. The method provides basis for the research on the evaluation of water abundance of aquifer in coal roof.

scholarly journals How Can Enterprise Risk Management Help in Evaluating the Operational Risks for a Telecommunications Company?

2021 ◽  
Vol 14 (3) ◽  
pp. 139
Author(s):  
José Ruiz-Canela López
Keyword(s):  
Risk Management ◽  
Banking Sector ◽  
Operational Risk ◽  
Field Work ◽  
Risk Identification ◽  
Enterprise Risk Management ◽  
Management Tool ◽  
Self Assessment ◽  
Operational Risks ◽  
Enterprise Risk

Operational risk is defined as the potential losses resulting from events caused by inadequate or failed processes, people, equipment, and systems or from external events. One of the most important challenges for the management of the company is to improve its results through its operational risk identification and evaluation. Most of Enterprise Risk Management (ERM) scholarship has roots in the finance/risk management and insurance (RMI) discipline, mainly in the banking sector. This study proposes an innovative operational risk assessment methodology (OpRAM), to evaluate operational risks focused on telecommunications companies (TELCOs), on the basis of an operational risk self-assessment (OpRSA) process and method. The OpRSA process evaluates operational risks through a quantitative analysis of estimates which inputs are the economic impact and the probability of occurrence of events. The OpRSA method is the “engine” for calculating the economic risk impact, applying actuarial techniques, which allow estimation of unexpected losses and expected losses distributions in a TELCO. The results of the analyzed business unit in the field work were compared with standardized ratings (acceptable, manageable, critical, or catastrophic), and contrasted against the company’s managers, proving that the OpRSA framework is a reliable and useful management tool for the business, and leading to more research in other sectors where operational risk management is key for the company success.

Industrial economics in the context of globalization: scientific, practical foundations and development priorities

2021 ◽  
Vol 27 (5) ◽  
pp. 117-125
Author(s):  
I. Krasovskaya ◽  
◽  
T. Malysheva ◽  
Keyword(s):  
Russian Federation ◽  
Well Being ◽  
Division Of Labour ◽  
Sustainable Growth ◽  
High Tech ◽  
Industrial Economy ◽  
Industrial Economics ◽  
Depth Analysis ◽  
The World ◽  
The Russian Federation

The relevance of the publication topic is argued by the need for an in-depth study of the globalization process, which is global financial, political and cultural integration, unification, the global division of labour, the planetary migration of capital, human and productive resources, standardization of legislation, and interference of cultures of the world community. The theoretical and practical goals of the publication are to study causal algorithms for the formation of a negative scientific and production balance of the Russian Federation and an increase in disproportions between the import and export of high-tech products, as well as a comparative description of global development as a symbiosis of contradictory trends in the subordination of the world economy to the interests of transnational capital. The theoretical and methodological basis of the publication was the scientific works of domestic and foreign scientists studying the globalization of the industrial economy due to the intensification of international scientific and technological competition and the expansion of the innovation market, deepening of specialization and division of labour, and the increase in the risks of producing high-tech products at the national and world levels. Scientific novelty lies in the authors’ interpretation of such socio-economic advantages of globalization as economies of scale, stimulation of labour productivity, rationalization of production at the interstate level and the spread of innovative technologies, cost reduction, price regression, achieving sustainable growth in the well-being of society, on the basis of which the development is confirmed global industrial economy on a research basis characterized by such attributes interdependence, asymmetry, regionalization and diversification, regression efficiency, inclusiveness, resource and raw material demarcation, a high degree of uncertainty and of the economic risk. The practical significance of the results obtained is determined by an in-depth analysis of the American (based on differentiation of labor and specialization of personnel, demarcation of labor duties, concentration of scientific and production efforts on a purely economic result) and Eurasian (characterized by mobility and compactness of production processes, saving transaction costs, adaptability to market conditions and availability of labour-tolerant staff) strategies for innovative development of industrial economics. Based on a critical rethinking of the American and Eurasian strategies, proposals and recommendations are formulated on the formation of the scientific and technical policy of the Russian Federation

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