scholarly journals Automatyzacja pracy a zmiany na rynku pracy. Czy, a jeśli tak, to w jaki sposób mierzyć pracę umysłową i poziom jej automatyzacji

2020 ◽  
Vol 11 ◽  
pp. 13-37
Author(s):  
Andrzej Lemański
Keyword(s):  
Big Data ◽  
Labour Market ◽  
Historical Sources ◽  
Measurement Issues ◽  
Cognitive Work ◽  
Quality Dimensions ◽  
The Impact ◽  
Modern Work ◽  
Methods Of Measurement ◽  
Hybrid Forms

The main aim of the article is to establish if and how we can research the impact of automation of work on the labour market. In this paper, I discuss measurement issues of automation of work with theoretical and statistical parts including elements of methodology. The text begins by discussing the dependences between physical and cognitive work and pays attention to the theoretical and historical sources of this division. Then, I point out hybrid forms of cognitive work as a result of the progressing digitalization, which leads me to the indication of big data and algorithms as one of the most important elements of modern work automation. The foregoing prompts the following question: If we take into account the prospective hybridization of machines and humans, should we still measure the cognitive work, especially in its quality dimensions? Finally, I provide examples of some possible methods of measurement of the automation of cognitive work, especially by pointing out selected changes which automation introduces into the labour market.

The Role of Migration in the Formation of Regional Labour Markets Amidst the Second Wave of Depopulation in Modern Russia

2020 ◽  
Vol 27 (6) ◽  
pp. 26-36
Author(s):  
A. V. Topilin ◽  
A. S. Maksimova
Keyword(s):  
Labour Market ◽  
Oil And Gas ◽  
Labour Markets ◽  
Labour Migration ◽  
Sample Surveys ◽  
Balance Sheets ◽  
Permanent Migration ◽  
Regional Labour Markets ◽  
The Impact

The article reflects the results of a study of the impact of migration on regional labour markets amidst a decline in the working-age population in Russia. After substantiating the relevance of the issues under consideration, the authors propose a methodological analysis toolkit, the author’s own methodology for calculating the coefficients of permanent long-term external and internal labour migration in regional labour markets, and the coefficient of total migration burden. In addition, the authors provide an overview of the information and statistical base of the study. According to current migration records, data of Rosstat sample surveys on Russian labour migrants leaving for employment in other regions, regional labour resources balance sheets based on the calculated coefficients of labour market pressures, the authors analyzed the impact of migration on the Russian regional labour markets over the past decade. It revealed an increasing role of internal labour migration in many regions, primarily in the largest economic agglomerations and oil and gas territories. At the same time, the role of external labour migration remains stable and minimum indicators of the contribution of permanent migration to the formation of regional labour markets continue to decrease. It has been established that irrational counter flows of external and internal labour migration have developed, which indicates not only an imbalance in labour demand and supply but also a discrepancy between the qualitative composition of migrants and the needs of the economy. It is concluded that the state does not effectively regulate certain types of migration, considering its impact on the labour market. The authors justified the need for conducting regular household sample surveys according to specific programs to collect information about labour migrants and the conditions for using their labour. In addition to the current migration records, using interregional analysis, this information allows making more informed decisions at the federal and regional levels to correct the negative situation that has developed in the regional labour markets even before the coronavirus pandemic had struck.

Understanding Rising Income Inequality and Stagnating Ordinary Living Standards in Germany

2018 ◽  
Author(s):  
Gerhard Bosch ◽  
Thorsten Kalina
Keyword(s):  
Income Inequality ◽  
Labour Market ◽  
Economic Crisis ◽  
Household Income ◽  
Wage Bargaining ◽  
Living Standards ◽  
Social Model ◽  
Real Wages ◽  
The Impact ◽  
Over Time

This chapter describes how inequality and real incomes have evolved in Germany through the period from the 1980s, through reunification, up to the economic Crisis and its aftermath. It brings out how reunification was associated with a prolonged stagnation in real wages. It emphasizes how the distinctive German structures for wage bargaining were eroded over time, and the labour market and tax/transfer reforms of the late 1990s-early/mid-2000s led to increasing dualization in the labour market. The consequence was a marked increase in household income inequality, which went together with wage stagnation for much of the 1990s and subsequently. Coordination between government, employers, and unions still sufficed to avoid the impact the economic Crisis had on unemployment elsewhere, but the German social model has been altered fundamentally over the period

Party System

2018 ◽  
Author(s):  
Zaad Mahmood
Keyword(s):  
Labour Market ◽  
Party System ◽  
Political Competition ◽  
Group Analysis ◽  
Party Competition ◽  
Market Reforms ◽  
Intermediate Variable ◽  
Labour Market Flexibility ◽  
Labour Market Reforms ◽  
The Impact

The chapter discusses the party system in the macro context of politics. It highlights the limitations of political party and interest group analysis without reference to the political competition that shapes behaviour in politics. The chapter discusses theoretically the impact of party system on labour market flexibility and proceeds to show the interrelation between party competition and the behaviour of political parties, composition of socio-economic support bases, and the behaviour of interest groups that influence reform. In the context of labour market flexibility, the party-system operates as an intermediate variable facilitating reforms. The chapter contradicts the conventional notion that party system fragmentation impedes reform by showing how increasing party competition corresponds to greater labour market reforms. It shows that increases in the number of parties, facilitates labour market reforms through marginalization of the issue of labour, realignment of class interests within broader society and fragmentation of trade union movement.

The impact of Active Labour Market Policies on health outcomes: a Scoping review

2019 ◽  
Author(s):  
Vanessa Puig-Barrachina ◽  
Pol Giró ◽  
Lucía Artazcoz ◽  
Xavier Bartoll ◽  
Imma Cortés-Franch ◽  
...  
Keyword(s):  
Health Outcomes ◽  
Labour Market ◽  
Scoping Review ◽  
Labour Market Policies ◽  
Active Labour Market Policies ◽  
Active Labour ◽  
The Impact

scholarly journals The Impact of Big Data on Electronic Commerce in Profit Organisations in Saudi Arabia

2019 ◽  
Vol 10 (4) ◽  
pp. 106
Author(s):  
Bader A. Alyoubi
Keyword(s):  
Saudi Arabia ◽  
Big Data ◽  
Inventory Management ◽  
New Technologies ◽  
Predictive Analytics ◽  
Business Environment ◽  
Primary Data ◽  
Research Approach ◽  
Multiple Sources ◽  
The Impact

Big Data is gaining rapid popularity in e-commerce sector across the globe. There is a general consensus among experts that Saudi organisations are late in adopting new technologies. It is generally believed that the lack of research in latest technologies that are specific to Saudi Arabia that is culturally, socially, and economically different from the West, is one of the key factors for the delay in technology adoption in Saudi Arabia. Hence, to fill this gap to a certain extent and create awareness about Big Data technology, the primary goal of this research was to identify the impact of Big Data on e-commerce organisations in Saudi Arabia. Internet has changed the business environment of Saudi Arabia too. E-commerce is set for achieving new heights due to latest technological advancements. A qualitative research approach was used by conducting interviews with highly experienced professional to gather primary data. Using multiple sources of evidence, this research found out that traditional databases are not capable of handling massive data. Big Data is a promising technology that can be adopted by e-commerce companies in Saudi Arabia. Big Data’s predictive analytics will certainly help e-commerce companies to gain better insight of the consumer behaviour and thus offer customised products and services. The key finding of this research is that Big Data has a significant impact in e-commerce organisations in Saudi Arabia on various verticals like customer retention, inventory management, product customisation, and fraud detection.

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