RESEARCH OF THE INTERSECTION OPERATION AT THE MICRO LEVEL USING OPTIMIZATION TOOLS IN THE ANYLOGIC ENVIRONMENT

2020 ◽  
Vol 25 (3) ◽  
pp. 41-51
Author(s):  
A. E. Evtushenko ◽  
Keyword(s):  
Intersection Operation ◽  
Micro Level

Is technological change a devourer of jobs?

2017 ◽  
pp. 111-140 ◽  
Author(s):  
R. Kapeliushnikov
Keyword(s):  
Technological Change ◽  
Critical Analysis ◽  
New Technologies ◽  
Employment Growth ◽  
Foreseeable Future ◽  
Employment Effects ◽  
Technological Unemployment ◽  
Micro Level ◽  
Task Sets ◽  
The Impact

The paper provides a critical analysis of the idea of technological unemployment. The overview of the existing literature on the employment effects of technological change shows that on the micro-level there exists strong and positive relationship between innovations and employment growth in firms; on the sectoral level this correlation becomes ambiguous; on the macro-level the impact of new technologies seems to be positive or neutral. This implies that fears of explosive growth of technological unemployment in the foreseeable future are exaggerated. Our analysis further suggests that new technologies affect mostly the structure of employment rather than its level. Additionally we argue that automation and digitalisation would change mostly task sets within particular occupations rather than distribution of workers by occupations.

Beyond GDP: The Quest for a Measure of Social Welfare. Part II

2012 ◽  
pp. 32-51 ◽  
Author(s):  
M. Fleurbaey
Keyword(s):  
Social Welfare ◽  
Social Relations ◽  
Well Being ◽  
Welfare Economics ◽  
Subjective Well Being ◽  
Alternative Approaches ◽  
Micro Level ◽  
Beyond Gdp

The second part of the paper is devoted to the non-monetary indicators of social welfare. Various approaches to the study of subjective well-being and happiness are described. The author shows what problems a researcher would encounter trying to analyze welfare on the micro-level and to take account of the cognitive and affective aspects of the individuals assessment of their well-being, as well as the relevance of social relations. The author also shows to what extent the alternative approaches, particularly the analysis of functionings and capabilities advanced by A. Sen are compatible to the modern welfare economics and what prospects the latter has.

Psychology of the Market and Economic Power (On Psychological Approach of Alan Greenspan to the Analysis of Economic Problems)

2011 ◽  
pp. 99-118
Author(s):  
Yu. Olsevich
Keyword(s):  
Economic Policy ◽  
Institutional Transformation ◽  
The Other ◽  
Economic Power ◽  
Psychological Approach ◽  
Market System ◽  
Economic Problems ◽  
Systemic Crisis ◽  
Micro Level ◽  
The One

The article analyzes the psychological basis of the theory and economic policy of libertarianism, as contained in the book by A. Greenspan "The Age of Turbulence", clarifies the strengths and weaknesses of this doctrine that led to its discredit in 2008. It presents a new understanding of liberalization in 1980-1990s as a process of institutional transformation at the micro and meso levels, implemented by politicians and entrepreneurs with predatory and opportunistic mentality. That process caused, on the one hand, the acceleration of growth, on the other hand - the erosion of informal foundations of a market system. With psychology and ideology of libertarianism, it is impossible to perceive real macro risks generated at the micro level, which lead to a systemic crisis, and to develop measures to prevent it.

Varieties of non-obvious meaning in CL and CADS: from ‘hindsight post-dictability’ to sweet serendipity

Corpora ◽  
2017 ◽  
Vol 12 (3) ◽  
pp. 339-367 ◽  
Author(s):  
Alan Partington
Keyword(s):  
Case Studies ◽  
Corpus Linguistics ◽  
Macro Level ◽  
Discourse Studies ◽  
Micro Level ◽  
Special Relevance

In this paper, I want to examine the special relevance of (non)obviousness in corpus linguistics through drawing on case studies. The research discussion is divided into two parts. The first is an examination of (non)obviousness at the micro-level, that is, in lexico-grammatical analyses, whilst the second looks at the more macro-level of (non)obviousness on the plane of discourse. In the final sections, I will examine various types of non-obvious meaning one can come across in Corpus-assisted Discourse Studies (CADS), which range from: ‘I knew that all along (now)’ to ‘that's interesting’ to ‘I sensed that but didn't know why’ (intuitive impressions and corpus-assisted explanations) to ‘I never even knew I never knew that’ (serendipity or ‘non-obvious non-obviousness’, analogous to ‘unknown unknowns’).

Entrepreneurship Management at the Local Government Level: The Experience of the Cities for Entrepreneurs Program

2018 ◽  
Vol 9 (5) ◽  
pp. 388-407
Author(s):  
Patricio Gigli ◽  
◽  
Donatela Orsi ◽  
Marisel Martín Aramburú ◽  
◽  
...  
Keyword(s):  
Human Capital ◽  
Local Government ◽  
Local Governments ◽  
Structural Characteristics ◽  
National Level ◽  
Development Issue ◽  
Starting Point ◽  
Local Government Level ◽  
Micro Level ◽  
Government Level

This paper aims at describing the experience of the Cities for Entrepreneurs Program (Ciudades para Emprender or CPE) of the National Directorate of Community and Human Capital (which belongs to the SEPYME), National Ministry of Production. This paper starts from the premise that entrepreneurship takes place at the most micro level of the offer and, therefore, is a concept associated with the characteristics of the environment closest to that offer: the local territory. However, there is little history in the country of public policies relating the issue of entrepreneurship with the local management. That is why we take as a starting point the conceptualization of the chosen framework: local governments and the development issue, seen from the perspective of entrepreneurships. Moreover, an overview is given on the structural characteristics of municipalities in Argentina. In addition, some international experiences and attempts to promote entrepreneurship at a national level are analyzed. Finally, the Cities for Entrepreneurs Program (CPE) is outlined, based on a summary of the diagnoses of the Entrepreneurial Ecosystems of the selected cities and the tools used and their execution status at the time of publication of this paper.

WHO DO WE THINK WE ARE? COMPARING INTERSECTIONAL IDENTITY TRENDS IN ASEE AND CEEA-ACEG USING NATURAL LANGUAGE PROCESSING AND REVIEW OF PROCEEDINGS

2019 ◽  
Author(s):  
Pamela Rogalski ◽  
Eric Mikulin ◽  
Deborah Tihanyi
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Activity Theory ◽  
Language Processing ◽  
Division Of Labour ◽  
Cultural Historical Activity Theory ◽  
Original Question ◽  
Micro Level ◽  
Historical Activity ◽  
Cultural Historical Activity

In 2018, we overheard many CEEA-AGEC members stating that they have "found their people"; this led us to wonder what makes this evolving community unique. Using cultural historical activity theory to view the proceedings of CEEA-ACEG 2004-2018 in comparison with the geographically and intellectually adjacent ASEE, we used both machine-driven (Natural Language Processing, NLP) and human-driven (literature review of the proceedings) methods. Here, we hoped to build on surveys—most recently by Nelson and Brennan (2018)—to understand, beyond what members say about themselves, what makes the CEEA-AGEC community distinct, where it has come from, and where it is going. Engaging in the two methods of data collection quickly diverted our focus from an analysis of the data themselves to the characteristics of the data in terms of cultural historical activity theory. Our preliminary findings point to some unique characteristics of machine- and human-driven results, with the former, as might be expected, focusing on the micro-level (words and language patterns) and the latter on the macro-level (ideas and concepts). NLP generated data within the realms of "community" and "division of labour" while the review of proceedings centred on "subject" and "object"; both found "instruments," although NLP with greater granularity. With this new understanding of the relative strengths of each method, we have a revised framework for addressing our original question.  

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