Import Dependence in the System of Marketing Phenomena of Competition and Competitiveness of the Cooperative Sector of the Economy at the Meso Level

2021 ◽  
pp. 203-212
Author(s):  
Oksana V. Martynenko ◽  
Victoria B. Gorbunova ◽  
Svetlana F. Bolshenko ◽  
Vladimir N. Mashkov ◽  
Igor Y. Krasnyansky
Keyword(s):  
2018 ◽  
Vol 15 (4) ◽  
pp. 545-559 ◽  
Author(s):  
Florian Tissot

The aim of this article is to clarify the role of the organisations that support skilled migrants after a relocation, using the analytical concept of migration industry. The concept is used as a tool to explore the gap between the macro and the micro levels and by that stresses the crucial meso-level when it comes to conceptualizing (skilled) migration. I use 30 semi-directive interviews with skilled migrants and six interviews with key informants in the migration industry as a basis for the analysis, leading me to distinguish three main services at the heart of this industry. Each service is covered by distinct private actors: the basic needs of the family by relocation offices, the education of the children by international schools, and the careers of the partner by outplacement agencies.


2016 ◽  
Author(s):  
Pawel Marzec ◽  
Oksana Khymych ◽  
Kateryna Vaskivska
Keyword(s):  

Author(s):  
Lisa Herzog

The Introduction sets out the problem this book addresses: organizations, in which individuals seem to be nothing but ‘cogs’, have become extremely powerful, while being apparently immune to moral criticism. Organizations—from public bureaucracies to universities, police departments, and private corporations—have specific features that they share qua organizations. They need to be opened up for normative theorizing, rather than treated as ‘black boxes’ or as elements of a ‘system’ in which moral questions have no place. The Introduction describes ‘social philosophy’ as an approach that addresses questions at the meso-level of social life, and situates it in relation to several strands of literature in moral and political philosophy. It concludes by providing a preview of the chapters of the book.


Author(s):  
Anna-Maija Puroila ◽  
Jaana Juutinen ◽  
Elina Viljamaa ◽  
Riikka Sirkko ◽  
Taina Kyrönlampi ◽  
...  

AbstractThe study draws on a relational and intersectional approach to young children’s belonging in Finnish educational settings. Belonging is conceptualized as a multilevel, dynamic, and relationally constructed phenomenon. The aim of the study is to explore how children’s belonging is shaped in the intersections between macro-, meso-, and micro-levels of young children’s education in Finland. The data consist of educational policy documents and ethnographic material generated in educational programs for children aged birth to 8 years. A situational mapping framework is used to analyze and interpret the data across and within systems levels (macro-level; meso-level; and micro-level). The findings show that the landscape in which children’s belonging is shaped and the intersections across and within the levels are characterized by the tensions between similarities and differences, majority and minorities, continuity and change, authority and agency. Language used, practices enacted, and positional power emerge as the (re)sources through which children’s (un)belonging is actively produced.


2021 ◽  
pp. 1-45
Author(s):  
Olivier Butzbach ◽  
Douglas B. Fuller ◽  
Gerhard Schnyder ◽  
Liudmyla Svystunova

ABSTRACT Although state-owned enterprises (SOEs) are recognized as important economic actors, the literature to date has assumed close state control over SOEs and, therefore, their passive stance towards institutions. Drawing on the institutional work and historical institutionalism literatures, we challenge this view. We develop a multilevel framework of SOE top management teams’ (TMTs’) embedded agency, spanning the national macro-institutional level, the meso-level of regimes of state-SOE relations, and sector-specific institutions. We then derive propositions regarding the factors across these multiple levels that shape SOE TMTs’ motivation, resources, and scope for institutional work. This framework allows us to explain the leeway for and likelihood of SOE TMTs’ engagement in institutional work across institutional contexts.


2019 ◽  
Vol 11 (6) ◽  
pp. 1813 ◽  
Author(s):  
António Cavaleiro de Ferreira ◽  
Francesco Fuso-Nerini

Circular economy (CE) is an emerging concept that contrasts the linear economic system. This concept is particularly relevant for cities, currently hosting approximately 50% of the world’s population. Research gaps in the analysis and implementation of circular economy in cities are a significant barrier to its implementation. This paper presents a multi-sectorial and macro-meso level framework to monitor (and set goals for) circular economy implementation in cities. Based on literature and case studies, it encompasses CE key concepts, such as flexibility, modularity, and transparency. It is structured to include all sectors in which circular economy could be adopted in a city. The framework is then tested in Porto, Portugal, monitoring the circularity of the city and considering its different sectors.


2021 ◽  
Author(s):  
Matthias Held ◽  
Grit Laudel ◽  
Jochen Gläser

AbstractIn this paper we utilize an opportunity to construct ground truths for topics in the field of atomic, molecular and optical physics. Our research questions in this paper focus on (i) how to construct a ground truth for topics and (ii) the suitability of common algorithms applied to bibliometric networks to reconstruct these topics. We use the ground truths to test two data models (direct citation and bibliographic coupling) with two algorithms (the Leiden algorithm and the Infomap algorithm). Our results are discomforting: none of the four combinations leads to a consistent reconstruction of the ground truths. No combination of data model and algorithm simultaneously reconstructs all micro-level topics at any resolution level. Meso-level topics are not reconstructed at all. This suggests (a) that we are currently unable to predict which combination of data model, algorithm and parameter setting will adequately reconstruct which (types of) topics, and (b) that a combination of several data models, algorithms and parameter settings appears to be necessary to reconstruct all or most topics in a set of papers.


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