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 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.

Dave Snowden on KM and big data/analytics: interview with David J. Pauleen

2017 ◽  
Vol 21 (1) ◽  
pp. 12-17 ◽  
Author(s):  
David J. Pauleen
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Theory And Practice ◽  
Content Type ◽  
Face To Face ◽  
The Relationship ◽  
A Company ◽  
Practical Implications ◽  
Scientific Officer

Purpose Dave Snowden has been an important voice in knowledge management over the years. As the founder and chief scientific officer of Cognitive Edge, a company focused on the development of the theory and practice of social complexity, he offers informative views on the relationship between big data/analytics and KM. Design/methodology/approach A face-to-face interview was held with Dave Snowden in May 2015 in Auckland, New Zealand. Findings According to Snowden, analytics in the form of algorithms are imperfect and can only to a small extent capture the reasoning and analytical capabilities of people. For this reason, while big data/analytics can be useful, they are limited and must be used in conjunction with human knowledge and reasoning. Practical implications Snowden offers his views on big data/analytics and how they can be used effectively in real world situations in combination with human reasoning and input, for example in fields from resource management to individual health care. Originality/value Snowden is an innovative thinker. He combines knowledge and experience from many fields and offers original views and understanding of big data/analytics, knowledge and management.

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