scholarly journals Das Problem der Linken mit der Technik

2017 ◽  
Vol 47 (186) ◽  
Author(s):  
Christian Frings
Keyword(s):  
Big Data ◽  
Digital Control ◽  
New Technologies ◽  
Digital Economy ◽  
Capitalist Society ◽  
Critical Discourse ◽  
The Internet ◽  
The Relationship ◽  
General Intellect

Within the left discourse concerning technology there is a tendency to regard new technologies like the computer and the internet either as blessing or as curse. While some scholars are suggesting that the new so called digital economy is leading us to a new post-capitalist society ruled by a “general intellect”, others fear that “big data” and digital control will inevitably strengthen the power of state and capital. The article uses Marx’ critique of capital as a fetish as a framework and argues that the blessing-curse-discourse is – on both sides – only replicating the fetish character instead of criticizing it. The critical discourse about technology should focus more on the relationship between new forms of struggles linked to new technologies, leave the walled off academic sphere, and abandon the blessing-curse-debate.

Deus ex Machina

2019 ◽  
pp. 71-95
Author(s):  
Michael A. Herzog ◽  
Danny Schott ◽  
Carsten Greif ◽  
Dominik Schumacher ◽  
Florian T. Brody ◽  
...  
Keyword(s):  
New Technologies ◽  
Design Science ◽  
Qualitative Evaluation ◽  
Science Research ◽  
Design Science Research ◽  
Critical Discourse ◽  
Qr Code ◽  
Faith Based ◽  
Christian Service ◽  
The Relationship

Churches have a long tradition using technology to grow their audience and to connect worshippers. Technologies used in Christian service are not even perceived as such: consider architecture, the organ, and light. Yet, faith-based organizations have always been critical of new technologies. The authors used design science research methodologies to develop an artifact of the Eucharist of a Catholic service. “Instant Church” is an interactive machine that guides visitors through the service and creates an individualized wafer with a laser-engraved QR-code that points to a random Tweet with a hate message that invites a moment of thought. Over 700 visitors saw that exhibit. A qualitative evaluation showed a high positive acceptance by users under40 while older visitors had a negative perspective. The artifact proved to be a highly suitable tool to invite a critical discourse and at the same time serves as a learning tool about the service. Interactive intelligent solutions reach the generation of digital natives and enable the discourse on the relationship between technology and faith.

scholarly journals DEVELOPMENT OF MARKET THEORY: THE RELATIONSHIP BETWEEN COMPETITION RISK AND THE DIGITAL MARKET

ASJ. ◽  
2021 ◽  
Vol 2 (56) ◽  
pp. 54-57
Author(s):  
M. Chernyakov ◽  
K. Akberov ◽  
I. Shuraev
Keyword(s):  
Big Data ◽  
Consumer Preferences ◽  
Digital Economy ◽  
Computer Algorithms ◽  
Dynamic Nature ◽  
Market Theory ◽  
Risks And Benefits ◽  
Targeted Marketing ◽  
The Relationship ◽  
New Situation

The development of the Internet, big data, computer algorithms, artificial intelligence, selflearning robots and other areas of the digital economy contribute to improving life. At the same time, players with market power are emerging in the economy, based on the use of algorithms, big data, big analytics, the use of intellectual property rights, the widespread use of targeted marketing technologies on this basis, not only studying, but also forming consumer preferences. The consequences of digital transformation in the economy are significant, and symbolic changes in legislation and practice of its application cannot be dispensed with here. It is necessary to measure the risks and benefits of the digital economy for competition and public welfare. Risks need to be managed, and benefits need to be multiplied. It is necessary to evaluate the new situation in the markets based on the basic postulates, and also take into account that the dynamic nature of changes has become the main characteristic of the markets.

scholarly journals International Index of Digital Economy and Society (I-DESI): Trends in the Development of Digital Technologies

2020 ◽  
Vol 17 (2) ◽  
pp. 40-54
Author(s):  
L. P. Bakumenko ◽  
E. A. Minina
Keyword(s):  
Public Services ◽  
New Technologies ◽  
Digital Economy ◽  
The Internet ◽  
Digital Development ◽  
Main Factors ◽  
Components Method ◽  
Use Of The Internet ◽  
Main Components ◽  
The Eu

Purpose of research. The aim of the study is to conduct statistical research and assess the level of digitalization of the economy of the European Union and some non-EU countries. The focus is on assessing the level, dynamics and directions of information and communication technologies development in the European economy on the example of the international index of digital economy and society (I-DESI). The strongest and weakest countries were identified, and the impact of components (sub-indexes) of the I-DESI index on GDP was studied.Materials and methods. For this study, the digital economy and society index (DESI – Digital Economy and Society Index), which is a composite measure that studies the digital indicators of Europe, developed by DG CONNECT (the European Commission) to provide an evidence-based contribution to the assessment of digital development in the EU as a whole, is considered as an assessment of the level of digitalization. Based on this index, the international digital economy and society index (I-DESI) was developed in 2018, which reflects and expands the EU-28 digital economy and society index. Based on the sub-indexes of this index, a multidimensional classification of European countries was carried out. The main components method identifies the main factors that were used to identify their impact on the level of GDP in various clusters. The Statistica package is used for information processing and analysis.Results. This study examined the values of sub-indexes of the I-DESI index in five dimensions: communication, digital skills, citizens' use of the Internet, integration of business technologies, and digital public services. According to the hierarchical classification based on these sub-indexes, 2 groups of countries were identified. Using the k-means method, the features of each cluster are identified. Comparisons of cluster analysis results by sub-indexes were made based on data from 2016 and 2013. Using the main components method, five main factors were identified out of twenty indicators characterizing the I-DESI index and their influence on the level of GDP in various clusters was revealed. The analysis of twenty indicators of the I-DESI 2018 index, applied in the method of main components, by the directions of the index itself, the economy in the context of GDP and the social sphere (life of society) through the HDI (human development index) in various clusters was also carried out.Conclusion. According to the research, two groups of countries were identified by the level of digitalization. The first group in 2016 included twenty two countries with high indicators of digital development of the economy and society. All the countries of the first cluster are developed countries that have a significant share of services in their economy, as well as investments in high-tech products. The second cluster is represented by twenty three countries. This cluster is mainly represented by developing countries, which still have a large share of production in GDP. The level of GDP in the first cluster countries with a high I-DESI index was mainly influenced by factors that characterize fixed broadband and digital public services. Two groups of factors also influenced the GDP level of the second cluster countries. One group of factors combined variables that characterize new technologies in business, the other group – the use of the Internet by the population. The study of the development of the digital economy has allowed us to conclude that in general, the trend of rapid spread of modern technologies is developing around the world. This suggests that society in the context of the state and the individual needs to be mobile and ready to adopt new technologies in advance.

LEGAL AND ETHICAL PERSPECTIVES ON (BIG) DATA, PLATFORMS, AI AND ALGORITHMS

2020 ◽  
Author(s):  
Charles Ess ◽  
Aline shakti Franzke ◽  
Chi Kwok ◽  
Ngai Keung Chan ◽  
Morten Bay ◽  
...  
Keyword(s):  
Big Data ◽  
Business Models ◽  
New Technologies ◽  
Internet Research ◽  
The Internet ◽  
Social Dimensions ◽  
Facilitated Communication ◽  
Internet Ethics ◽  
Subsequent Publication ◽  
Common Interests

AoIR and the Journal of Information, Communication and Ethics in Society (JICES) share common interests in critical reflection on the ethical and social dimensions of the internet and internet-facilitated communication, and have begun a collaboration aimed at collecting ethically-focused AoIR conference submissions for presentation and critique at AoIR, with a view towards subsequent publication in a special issue of JICES. This panel collects four papers exploring especially the legal and ethical dimensions of new technologies, including data collection and storage as public goods vis-à-vis central questions of justice (Paper 1, Towards a Political Theory of Data Justice: A Public Good Perspective); critiques from Western and non-Western positions of the utilitarianism otherwise driving the platforms’ business models and rationales (Paper 2, Google and Facebook VS Rawls and Lao-Tsu: How Silicon Valley’s utilitarianism and Confucianism are bad for Internet ethics); basic tensions between the rule of law vis-à-vis algorithmic “decision-making” processes in jurisprudence and “surveillance capitalism” (Paper 3, The Jurisprudence of Datafied Law); and a taxonomy of the ethics of AI, algorithms and big data based on an analysis of 90 guidelines from 2017-2020 (Paper 4, A systematic literature Review of ethical Code of Conducts in the field of Internet Research). These papers directly take up the central interests shared between AoIR and JICES in the ethical and social dimensions of the internet and internet-facilitated communication. They offer new insight on legal and ethical aspects of contemporary technologies, some of which will have specific implications for internet research ethics.

The Internet in Macau

2000 ◽  
Vol 10 (1) ◽  
pp. 63-78
Author(s):  
Fei Loi Lai ◽  
Bryce T. McIntyre
Keyword(s):  
New Technologies ◽  
Interesting Case ◽  
The Internet ◽  
Southeastern China ◽  
Telecommunications Services ◽  
Old Portuguese ◽  
The Pearl River ◽  
The Relationship ◽  
Internet Companies

Macau is a 400-year-old Portuguese colony in the Pearl River Delta in southeastern China. Portugal returned the colony to China on 20 December 1999. In light of its history, Macau is an interesting case study of how colonial policies affect adoption of new technologies such as the Internet. Companhia de Telcomunicações de Macau is the only company licensed to provide telecommunications services in Macau. This study examines: (1) the relationship between the Macau government and CTM as an ISP; (2) the relationship between CTM and other Internet companies in Macau; and (3) the relationship between Internet companies and users in Macau.

scholarly journals The Sociology of Quantification: Where Are We Now?

2017 ◽  
Author(s):  
Elizabeth Popp Berman ◽  
Daniel Hirschman
Keyword(s):  
Big Data ◽  
New Technologies ◽  
Google Scholar ◽  
Good Work ◽  
The Internet ◽  
Quantified Self ◽  
Emerging Themes ◽  
The Moment

A decade ago, Wendy Espeland and Mitchell Stevens published an essay titled “The Sociology of Quantification.” In it, they wrote that “sociologists have generally been reluctant to investigate [quantification] as a sociological phenomenon in its own right.” While accountants, anthropologists, and historians had begun the reflexive study of numbers, “sociologists have paid relatively little attention to the spread of quantification or the significance of new regimes of measurement” (Espeland and Stevens 2008:402).That has clearly changed. While Google Scholar shows only nine results for the phrase “sociology of quantification” through 2007, the last decade returns 448. This proliferation of scholarship on numbers goes hand in hand with a proliferation of numbers themselves. New technologies have created a “quantified self,” and the explosion of the internet has produced “big data”. As a senior sociologist recently quipped to one of us, sociology has become quantitative researchers, and qualitative researchers studying quantification. Thus the moment seems ripe for revisiting the sociology of quantification, looking at emerging themes, and seeking signs that a new subfield might be starting to consolidate.Alas, the news is mixed. Lots of good work is being done. The intellectual space is full of ferment. Yet—and perhaps the fact that we were reviewing books by authors from at least four different disciplines should have clued us in earlier—so far, we seem to be looking at a genre, not a subfield....

Organizational Knowledge of Digital Economy in Transformation, in Big Data, and in Internet of Things

2021 ◽  
pp. 463-476
Author(s):  
Vardan Mkrttchian ◽  
Serge Chernyshenko
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Expert Knowledge ◽  
Value Added ◽  
Organizational Knowledge ◽  
Digital Economy ◽  
The Internet ◽  
Specific Product ◽  
Business Partners ◽  
Place Of Origin

This article discusses issues related to organizational knowledge of the digital economy as expert knowledge for intelligent solutions in Transformation, in Big Data, in the Internet of Things. Applying as expert knowledge for intelligent solutions is a new term that describes the planning, search, production, distribution, and delivery of Mkrttchian digital avatars from the place of origin to consumption. This is very different from traditional ones because they are associated with specific product expertise that is generated using electronic data distributed on the Internet between business partners and value-added service providers operating in the general digital economy paradigm using blockchain technologies. The article focuses on analyzing business relationships and this integration into sustainable management systems.

Closing reflections: the future is cooperation

2019 ◽  
pp. 553-560
Author(s):  
John Child ◽  
David Faulkner ◽  
Stephen Tallman ◽  
Linda Hsieh
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
New Technologies ◽  
Business Environment ◽  
The Internet ◽  
Cooperative Strategy ◽  
Viable Solution ◽  
The Internet Of Things

In concluding the book, Chapter 25 argues that cooperation is becoming the preferred strategy for business and public organizations to adopt in the new economy. It is taking on new forms that are adapted to changing market expectations and new technological possibilities in the rapidly evolving business environment. New technologies such as ICT and blockchain are reducing the potential for and value of partner opportunism, making cooperation more efficient and less costly while enabling managers to pinpoint potential partners for ever more focused purposes. Cooperative strategy offers a viable solution for pooling together the required resources to seize the opportunities offered by Industry 4.0, which is driven by AI, the Internet of Things, and Big Data. Looking ahead, the personalization of technologies envisaged in Industry 5.0 will require an increasing number of collaborations between organizations from different sectors, both firms and social/public bodies.

scholarly journals Risks and security solutions existing in the Internet of things (IoT) in relation to Big Data

2020 ◽  
Vol 23 (1) ◽  
pp. e9484
Author(s):  
Yigliana Alvarez Mendoza ◽  
Tania J. Londoño Gomez ◽  
Miguel Angel Leguizamón Páez
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
The Internet ◽  
Sensitive Data ◽  
Security Risks ◽  
New Era ◽  
Multiple Data ◽  
Relationship Of ◽  
The Relationship ◽  
The Internet Of Things

The technological advance of the new era has led to the interconnection of devices, applications, people and data, giving way to the generation of the Internet of Things (IoT). The multiple data collected is so voluminous and variable that it must be stored in Big Data architectures. This evolution has provided the opportunity to have better access, quality and analysis of information, but at the same time, there is a challenge to prevent and mitigate the security risks associated with the relationship between IoT and Big Data, endangering the information collected and the user’ sensitive data, among others. The purpose of this document is to carry out a literature review to collect the security risks found between the relationship of Big Data and IoT, as well as evaluate the current solutions implemented and conclude if they cover the needs for prevention and mitigation of the risk.

scholarly journals DIGITAL TECHNOLOGIES IN THE CONDITIONS OF DIGITAL ECONOMY FORMATION

2020 ◽  
Vol 1 (19(47)) ◽  
pp. 20-28
Author(s):  
Andrii Semenog
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Big Data Analytics ◽  
Digital Economy ◽  
The Internet ◽  
Measurement Means ◽  
Digital Information ◽  
Industrial Internet ◽  
The Internet Of Things

The article substantiates that the successful development of the digital economy is closely linked to progress in several “frontier technologies”, among which the most important are such software-oriented technologies as Blockchain, the Internet of Things (IoT), Big Data Analytics, Artificial Intelligence (AI), Cloud Computing, Artificial Intelligence (AI). It is determined that together these technologies provide new opportunities for better analysis, processing and use of digital information, which gives new opportunities for companies to improve their efficiency by offering new, more personalized products and services. In general, the article analyzes the leading technologies used in the formation of the digital economy, identifies their essence, types, and methods of practical application. The properties, potential advantages, and risks of blockchain technology are studied. The article gives examples of companies that use blockchain. They represent such areas as finance, data management, energy, government, transport, health. The main components of the Internet of Things are identified. These include means of identification, means of measurement, means of data transmission, means of data processing, performing devices. The hierarchy of the Internet of Things is also given. It consists of personal wearable devices, smart homes, and smart industry (industrial internet). The phases of the “industrial Internet” development are presented. The essence and constituent characteristics of Big Data are determined. Among them: volume, velocity, variety, value, veracity, variability, visualization. It is determined that the key sources of Big Data are information from the Internet; readings of various devices; corporate information. The competitive advantages of companies that use Big Data are given. Also, the advantages and models of using cloud technologies are described. The essence and components of artificial intelligence are determined. An example of its application in the economic activity of companies is presented.

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