scholarly journals Taming Disruption? Pervasive Data Analytics, Uncertainty, and Policy Intervention in Disruptive Technology and Its Geographic Spread

2018 ◽  
Author(s):  
Roger C. Brackin ◽  
Michael J. Jackson ◽  
Andrew Leyshon ◽  
Jeremy G. Morley
Keyword(s):  
Big Data ◽  
Technology Development ◽  
Analytical Techniques ◽  
Disruptive Technology ◽  
Policy Intervention ◽  
Disruptive Effect ◽  
Potential Models ◽  
Disruptive Technologies ◽  
Political Implications ◽  
Technology Transition

The topic of technology development and its disruptive effects has been the subject of much debate over the last 20 years with numerous theories at both macro and micro scale offering potential models of technology progression and disruption. This paper focuses on how the potential theories of technology progression can be integrated and considers whether suitable indicators of this progression and any subsequent disruptive effects (particularly considering these geographically) might be derived, based on the use of big data analytic techniques. Given the magnitude of the economic, social and political implications of many disruptive technologies, the ability to quantify disruptive change at the earliest possible stage could deliver major returns by reducing uncertainty, assisting public policy intervention and managing the technology transition through disruption into deployment. However, determining when this stage has been reached is problematic because small random effects in the timing, direction of development, the availability of essential supportive technologies or “platform” technologies, market response or government policy can all result in failure of a technology, its form of adoption or optimality of implementation. This paper reviews some of the key models of technology evolution and their disruptive effect including, in particular, the geographical spread of disruption. It suggests a methodology for utilising the recent explosion of open and web-discoverable data to determine a methodology to achieve this earlier determination and considers the potential exploitation of big data modelling and predictive analytical techniques to achieve this goal.

scholarly journals Taming Disruption? Pervasive Data Analytics, Uncertainty and Policy Intervention in Disruptive Technology and its Geographic Spread

2019 ◽  
Vol 8 (1) ◽  
pp. 34 ◽  
Author(s):  
Roger Brackin ◽  
Michael Jackson ◽  
Andrew Leyshon ◽  
Jeremy Morley
Keyword(s):  
Big Data ◽  
Technology Development ◽  
Specific Aspect ◽  
Disruptive Technology ◽  
Policy Intervention ◽  
Disruptive Effect ◽  
Geographical Spread ◽  
Political Implications ◽  
Technology Transition ◽  
Historic Data

The topic of technology development and its disruptive effects has been the subject of much debate over the last 20 years with numerous theories at both macro and micro scales offering potential models of technology progression and disruption. This paper focuses on how theories of technology progression may be integrated and considers whether suitable indicators of this progression and any subsequent disruptive effects might be derived, based on the use of big data analytic techniques. Given the magnitude of the economic, social, and political implications of many disruptive technologies, the ability to quantify disruptive change at the earliest possible stage could deliver major returns by reducing uncertainty, assisting public policy intervention, and managing the technology transition through disruption into deployment. However, determining when this stage has been reached is problematic because small random effects in the timing, direction of development, the availability of essential supportive technologies or “platform” technologies, market response or government policy can all result in failure of a technology, its form of adoption or optimality of implementation. This paper reviews key models of technology evolution and their disruptive effect including the geographical spread of disruption. The paper then describes a use case and an experiment in disruption prediction, looking at the geographical spread of disruption using internet derived historic data. The experiment, although limited to one specific aspect of the integrated model outlined in the paper, provides an initial example of the type of analysis envisaged. This example offers a glimpse into the potential indicators and how they might be used to measure disruption hinting at what might be possible using big data approaches.

scholarly journals IMPACT OF DISRUPTIVE TECHNOLOGY ON THE PERFORMANCE OF INSURANCE FIRMS IN KENYA

2018 ◽  
Vol 3 (1) ◽  
pp. 72
Author(s):  
Ezekiel Owuor
Keyword(s):  
Big Data ◽  
Financial Performance ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Disruptive Technology ◽  
Regulatory Body ◽  
Disruptive Technologies ◽  
Insurance Firms ◽  
Pdf Format ◽  
The Impact

Purpose:  The purpose of this paper was to explore the impact of disruptive technology on the performance of insurance firms in Kenya.Methods: The study utilized desktop literature review and focused on previously published journals in PDF format that address technology and the performance of insurance firms.  A total of 13 journals was found relating to technology and the performance of insurance firms. The study utilized a sample of 12 journals which were randomly selected from a list of published journals in PDF format relating to disruptive technology and performance of insurance firms. The theories underpinning of the study entailed Christensen's Theory of Disruptive Technology, the Diffusion of Innovation Theory and Schumpeterian Theory of Creative Destruction.Results: The review of literature revealed that various aspects of disruptive technology have a significant impact on organizational performance. The review showed that mobile phone technology has a significant influence and explains to a large extent the growth of micro insurance in Kenya. It was also found that the increase in industrial convergence, technological innovation and social digital trends increases the financial performance of financial institutions including insurance firms. The study also established that there is a strong and positive relationship between insurance innovation strategies and a firm’s performance. In addition, it was found out that real-time business evaluation through big data analytics boosts overall performance and profitability, thus thrusting the organization further into the growth cycle.Unique Contribution to theory, practice and policy: The leadership and management of insurance companies should put greater emphasis on the adoption of disruptive technologies to improve on both financial and non-financial performance as well as their competitiveness within the industry. These include Big Data, Analytics, Artificial Intelligence Systems, Cloud Computing and Digital Currency Technologies. Processes in the organizations should be refined to ensure that they are efficient and effective as this serves to increase market share and to reduce on operational costs. Moreover, explorations in disruptive technology should continue in the insurance industry as these would play a significant role in ensuring that efficiencies and effectiveness of business processes are achieved. The Insurance Regulatory Authority (IRA) should also develop policies that encourage innovation and the adoption of technology. The authority whilst exercising due diligence in its mandate to protect consumers should ensure policies do not stifle the growth and creativity of insurers. The regulatory body should also strive to create a favourable environment for the adoption of disruptive technologies.

Some applications of electron beam microanalysis techniques in VLSI process evaluation

1983 ◽  
Vol 41 ◽  
pp. 160-161
Author(s):  
Simon Thomas
Keyword(s):  
Integrated Circuits ◽  
Process Evaluation ◽  
Large Scale ◽  
Technology Development ◽  
Analytical Techniques ◽  
Successful Implementation ◽  
Analysis Of Failures ◽  
Characterization Of Materials ◽  
Circuits Vlsi

Trends in the technology development of very large scale integrated circuits (VLSI) have been in the direction of higher density of components with smaller dimensions. The scaling down of device dimensions has been not only laterally but also in depth. Such efforts in miniaturization bring with them new developments in materials and processing. Successful implementation of these efforts is, to a large extent, dependent on the proper understanding of the material properties, process technologies and reliability issues, through adequate analytical studies. The analytical instrumentation technology has, fortunately, kept pace with the basic requirements of devices with lateral dimensions in the micron/ submicron range and depths of the order of nonometers. Often, newer analytical techniques have emerged or the more conventional techniques have been adapted to meet the more stringent requirements. As such, a variety of analytical techniques are available today to aid an analyst in the efforts of VLSI process evaluation. Generally such analytical efforts are divided into the characterization of materials, evaluation of processing steps and the analysis of failures.

Challenges and Cloud Computing Environments Towards Big Data

2014 ◽  
pp. 203-208
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Technology Development ◽  
Computing Environments ◽  
Modern Technologies

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.

Domestic Engineering - Industry 4.0 Technology Transition Problems

2019 ◽  
pp. 11-20
Author(s):  
E. N. Lapteva ◽  
O. V. Nasarochkina
Keyword(s):  
Additive Manufacturing ◽  
Industry 4.0 ◽  
Technology Development ◽  
Engineering Industry ◽  
Problem Analysis ◽  
Industrial Internet Of Things ◽  
Technology Transition ◽  
Industrial Internet ◽  
Qualified Personnel ◽  
Virtual And Augmented Reality

The paper deals with problem analysis due to domestic engineering transition to the Industry 4.0 technology. It presents such innovative technologies as additive manufacturing (3D-printing), Industrial Internet of Things, total digitization of manufacturing (digital description of products and processes, virtual and augmented reality). Among the main highlighted problems the authors include a lack of unification and standardization at this stage of technology development; incompleteness of both domestic and international regulatory framework; shortage of qualified personnel.

Prospects for Cooperation Between Russia and the Republic of Korea in the Fields of Big Data, Network and Artificial Intelligence for the Development of the Digital Economy

2021 ◽  
Vol 65 (8) ◽  
pp. 51-60
Author(s):  
Yujeong Kim
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Large Scale ◽  
Technology Development ◽  
Technological Development ◽  
Digital Economy ◽  
Republic Of Korea ◽  
Data Network ◽  
Leading Position ◽  
The Government

Today, each country has interest in digital economy and has established and implemented policies aimed at digital technology development and digital transformation for the transition to the digital economy. In particular, interest in digital technologies such as big data, 5G, and artificial intelligence, which are recognized as important factors in the digital economy, has been increasing recently, and it is a time when the role of the government for technological development and international cooperation becomes important. In addition to the overall digital economic policy, the Russian and Korean governments are also trying to improve their international competitiveness and take a leading position in the new economic order by establishing related technical and industrial policies. Moreover, Republic of Korea often refers to data, network and artificial intelligence as D∙N∙A, and has established policies in each of these areas in 2019. Russia is also establishing and implementing policies in the same field in 2019. Therefore, it is timely to find ways to expand cooperation between Russia and Republic of Korea. In particular, the years of 2020and 2021marks the 30th anniversary of diplomatic relations between the two countries, and not only large-scale events and exchange programs have prepared, but the relationship is deepening as part of the continued foreign policy of both countries – Russia’s Eastern Policy and New Northern Policy of Republic of Korea. Therefore, this paper compares and analyzes the policies of the two countries in big data, 5G, and artificial intelligence to seek long-term sustainable cooperation in the digital economy.

scholarly journals FORECASTING OF BLOCKCHAIN TECHNOLOGY DEVELOPMENT IN ECONOMY: ACCOUNTING POINT OF VIEW

2019 ◽  
pp. 37-44
Author(s):  
L. Shkulipa
Keyword(s):  
Big Data ◽  
New Technologies ◽  
Technology Development ◽  
Local Economy ◽  
Point Of View ◽  
Negative Effects ◽  
Blockchain Technology ◽  
Hype Cycle ◽  
Predictive Assessment ◽  
Further Development

In the article the importance of blockchain technology in the economy and predicting its development from the accounting point of view was investigated. The methods used in the study are based on the analysis of literature related to disclosure issues and a description of existing blockchain claims on the world stage. On the basis of this, a predictive assessment of the considered results for the further development of blockchain technology in the economy, its impact on accounting and the profession of accountant was made. The findings include the positive and negative effects of blockchain technology on the medical and banking sectors, information technology, the financial sector, and accounting. The blockchain in the hype cycle was considered as a phenomenon that all new technologies undergo before stable existing or disappearing. Based on the consideration of the most famous blockchain projects with the combination of Big Data, the estimation of the development technologies of Blockchain and Big Data in finance was discussed. This study suggests to consider blockchain technology as (1) a new way of sending and processing invoices, documents, contracts, and payments, reducing errors, costs and transaction time; (2) a path to financial equality through affordability; (3) investments in the local economy so that developing countries can grow significantly; (4) updating the currency market and the international monetary and financial transaction system; (5) a major breakthrough in the economy together with the Big Data technology.

Proposal of Analytical Model for Business Problems Solving in Big Data Environment

Web Services ◽  
2019 ◽  
pp. 618-638
Author(s):  
Goran Klepac ◽  
Kristi L. Berg
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Predictive Models ◽  
Analytical Approach ◽  
Fraud Detection ◽  
Analytical Techniques ◽  
Data Sources ◽  
Business Decisions ◽  
Mining Projects ◽  
Structured Approach

This chapter proposes a new analytical approach that consolidates the traditional analytical approach for solving problems such as churn detection, fraud detection, building predictive models, segmentation modeling with data sources, and analytical techniques from the big data area. Presented are solutions offering a structured approach for the integration of different concepts into one, which helps analysts as well as managers to use potentials from different areas in a systematic way. By using this concept, companies have the opportunity to introduce big data potential in everyday data mining projects. As is visible from the chapter, neglecting big data potentials results often with incomplete analytical results, which imply incomplete information for business decisions and can imply bad business decisions. The chapter also provides suggestions on how to recognize useful data sources from the big data area and how to analyze them along with traditional data sources for achieving more qualitative information for business decisions.

Innovation Platforms

2018 ◽  
pp. 72-95
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Business Model ◽  
Value Chain ◽  
Analytical Techniques ◽  
Human Interaction ◽  
Business Relationship ◽  
Potential Relationship ◽  
Relationship Of ◽  
Cross Fertilization

Data and analytics is the heart of a digital business platform. Today, big data (BD) becomes useful when it enriches decision making that is enhanced by application of analytical techniques and some element of human interaction. With the merging of data and information vs. knowledge and intelligence, this chapter investigates an opportunity for cross-fertilization between BD and the field of digital business with related disciplines. Primary BD and analytics platform is a set of business capabilities. This chapter aims to investigate the potential relationship of BD and analytics platform and digital business platform. In doing so, it develops a BD value chain framework, BD business model pattern (BDBMP) with related levels of BD maturity improvement. This framework could be used to find answers on the basic BD and digital business relationship questions.

Anticipating Blockchain as Disruptive Technology

2021 ◽  
pp. 708-721
Author(s):  
Mutwalibi Nambobi ◽  
Kanyana Ruth
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
New Technologies ◽  
New Product ◽  
Disruptive Technology ◽  
Senior Managers ◽  
Business Ecosystem ◽  
Distributed Ledger ◽  
Significant Research ◽  
Almost All

Today, people are going to senior managers in almost all industries pitching about their “I have a new product” thing. Disruptive technology transforms a differentiated product that was so expensive and sometimes complicated or sophisticated into a simplified implementation with the applicability of APIs. APIs provide a platform where startup companies can be nitrated to a giant and established companies. Secondly, it changes the business ecosystem to suit all kinds of players small or big. In previous years, only major companies with a lot of resources had access to such technologies. This selfish access to new technologies would make such giants flourish like Amazon, eBay, Google. Blockchain is a form of distributed ledger technology gaining significant research devotion in numerous areas cutting across e-commerce, cryptocurrency, cryptography, logistics, security, finance, and now it is gaining grounds in e-commerce, big data, and internet of things. This chapter introduces the concept of blockchain, applications, and benefits it possesses in various fields related to e-commerce.

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