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The literature on knowledge-intensive business services (KIBS) shows them to be major innovators; this is confirmed with recent data, which the authors use to examine the various types of innovation that KIBS undertake. The implications for employment and work in highly innovative industries are important topics for analysis, not least because we are in a period where dramatic claims are being made as to the implications of new technologies for professional occupations. Thus, this paper aims to address major debates and conclusions concerning innovation patterns in KIBS and the evolving structures of professional and other work in these industries.

This essay combines literature review with presentation and discussion of statistics that throw light on the patterns of innovation that characterise KIBS. The authors also consider data that concern trends in the organisation of work in these industries; while the focus is mainly on KIBS firms, they also pay some attention to KIBS-like work in other sectors. Even though KIBS are distinctive industries in modern economies, these analyses can be related to more general studies of, and forecasts about, changes in work organisation.

The authors show that innovation patterns and employment structures vary substantially across different types of KIBS, with the distinction between technological, professional and creative KIBS proving to be useful for capturing these differences. The authors are also able to demonstrate important long- and medium-term trends in the structure and activities of the KIBS industries. In particular, data clearly demonstrate the increasing share of professional as against associate and clerical workers in most KIBS. Evidence also suggests that polarisation trends across the economy are mirrored, and in some cases amplified, in KIBS. The future prospects for employment in KIBS, and for professional work in particular, are seen to involve multiple factors, which together may bring about substantial change.

The study involves literature review and industry-level statistical analysis. Future work would benefit from firm-level analysis and validation and explication of results via consultation with practitioners and users of KIBS. Some puzzling variations across countries and sectors will need to be explored with national and sectoral experts.

Research into KIBS activities, and their future, should make more use of the extensive statistics on employment and other structural features of the industries that have become available in recent years. KIBS firms and practitioners will need to take account of the forces for change that are liable to restructure their activities.

The literature on KIBS has been concentrated on a rather narrow range of issues, while analysis of the current contributions and future development of the industries requires attention to a wider range of topics. This paper suggests how these topics may be investigated and their implications explored and presents results of enquiries along these lines.

The aim of this chapter is to explore the economic impact of the ICT sector in the Greek economy. In the first stage of this study, the ICT sector is identified as a composite agglomerate of various manufacturing and service industrial sectors of the economy, following its international definition introduced by OECD. Under this concept, we explore the main structural indicators of its business activity and quantify its impact in the Greek economy (in terms of production value, GDP, investment, and employment), utilizing the basic principles of Input-Output analysis. We further investigate the ICT sector’s linkages with other industries as a ‘route’ for technology and innovation diffusion in the Greek production system by approximating the ICT sector as the enabling force for the digital transformation of production in the face of Industry 4.0. The empirical results of this analysis are accompanied by a review of some key qualitative characteristics of the sector and elaborate on major challenges and relevant policy implications that arise.

Research suggests social exclusion is linked to violence. To expand what is known about risk factors for violence, this study investigates links between having a parent with a history of incarceration and experiencing social exclusion. Data from waves 1 and 4 of the National Longitudinal Study of Adolescent Health were used to conduct regression analyses to assess associations between parental incarceration and social exclusion adjusting for child, parent, and family factors. Results indicate that compared to individuals whose parents had never been incarcerated, those who reported a parent had been incarcerated were at greater risk of experiencing material exclusion, incarceration, and multiple forms of exclusion. When assessing differences by parent gender, results indicate that those who reported their mother had been incarcerated compared to those who reported their father had been incarcerated had higher risk of being incarcerated themselves and experiencing multiple forms of exclusion. Since research suggests social exclusion increases violence risk, studies are needed (1) to identify mechanisms linking parental incarceration to offspring social exclusion and (2) to increase understanding around differential impact by parent gender. Such studies can inform development of interventions to promote better outcomes in this vulnerable sub-population of children.

The objective of this research is to study work–life balance and intrinsic and extrinsic work values as antecedents of job embeddedness. Likewise, the conservation of resources (COR) theory is used as a framework of the study and the research contributes to expanding its field of action.

A quantitative study was designed, following the guidelines of the hypothetical-deductive method. The model is validated in a sample of 211 members of Generation Y with work experience. Data were analyzed using Partial Least Squares-Structural Equation Models (PLS-SEM).

Research has shown that work–life balance is an antecedent of job embeddedness for each dimension (links, fit and sacrifice). Regarding work values, the research results allow us to appreciate that for Generation Y; it is the intrinsic work values that are significant.

Job embeddedness has been studied under the framework of the COR theory. The study contributes to expanding the field of action of this theory in terms of voluntary turnover and the tangible or intangible resources that influence it. The literature presents differing opinions about what members of Generation Y value in the workplace and results show that work–life balance and intrinsic work values are appreciated by them. The sample is made up of people with working experience while research on Generation Y often uses students. Companies will be able to offer more precise benefits to retain Generation Y based on this research.

El objetivo de esta investigación es estudiar el balance trabajo-vida y los valores laborales intrínsecos y extrínsecos como antecedentes del arraigo laboral. Asimismo, la teoría COR se utiliza como marco de estudio y así se contribuye a ampliar su campo de acción.

Se diseñó un estudio cuantitativo, siguiendo los lineamientos del método hipotético-deductivo. El modelo se valida en una muestra de 211 integrantes de la generación Y con experiencia laboral. Los datos se analizaron usando PLS-SEM.

la investigación ha demostrado que el balance trabajo-vida es un antecedente del arraigo laboral para cada dimensión (vínculos, ajuste y sacrificio). En cuanto a los valores laborales, los resultados de la investigación indican que para la generación Y, son los valores intrínsecos los que son significativos.

el arraigo laboral se ha estudiado en el marco de la teoría COR. De esta forma, se contribuye a ampliar el campo de acción de esta teoría en cuanto a la rotación voluntaria y los recursos tangibles o intangibles que influyen en ella. La literatura presenta opiniones diversas sobre lo que los miembros de la generación Y valoran en el lugar de trabajo y nuestros resultados muestran que aprecian el equilibrio entre la vida personal y laboral y los valores laborales intrínsecos. La muestra está compuesta por personas con experiencia laboral mientras que la investigación sobre la generación Y suele utilizar estudiantes. Las empresas podrán ofrecer beneficios más precisos para retener a la generación Y sobre la base de esta investigación.

The purpose of this paper is to investigate the determinants of self-employment, using data from the British Household Panel Survey.

Using the maximum likelihood estimation, the authors estimate the Probit models via disaggregation of the sample by male and female, and inclusion of regional and industrial controls.

This paper finds that the intergenerational links in self-employment run significantly through father-son, and mother-daughter. In addition, the authors find that lump-sum endowment, aspiration, marriage and education attainment are all significant and positive determinants for female self-employed while insignificant for male self-employed. Variables including number of children, health of the individual, and age effect are more important determinants for male than for female self-employed.

The findings show that there are significant differences between male and female self-employed. Future studies on self-employment should therefore distinguish the two genders in their econometric models.

The authors reinforce and add to the exiting literature on gender differences in the determinants of self-employment. The authors disaggregate the data by gender, and introduce some important variables for empirical studies, such as father self-employed, mother self-employed, aspiration, health of the individual, and age effect.

The purpose of this paper is to analyze the inequality of opportunity among Indonesian school-age children from 2002 to 2012. It focuses on the possibilities of accessing basic needs, such as primary education, secondary education, electricity and clean water.

This paper used three interrelated indicators, namely, coverage access rate, dissimilarity index and human opportunity index. It also applied Shapley decomposition to measure the contributions of each determinant of inequality opportunities. These data were obtained from the National Household Survey conducted in 2002-2012.

This study revealed that the level of access to all basic needs, except clean water, was likely to increase with even distribution during the observation period. Moreover, the decomposition results showed that the education of household heads, household income and region (rural-urban) were the main contributors to the total inequality of opportunity.

This study on the inequality of opportunity is interesting, for it is tightly related to inequality of outcome, i.e. income, expenditure and wealth. It is arguable that the inequality of outcome, nowadays, is a reflection of the past inequality in basic opportunities. Thus, the exploration of potential inequality drivers begins to be increasingly important, as it can assist the policymakers in drawing effective policies to repress the increasing trend of future inequality.

Human capital flight from developing countries to developed nations has been rising and giving concerns to governments and scholars alike. This paper aims to explore the impact migration from Nigeria has on economic output growth by focusing on the migration rate, remittances, population growth and secondary school enrolment. This has not received adequate attention in the literature, as many papers have primarily focused on the impact of remittances on economic growth.

Leveraging on the macro-level approach to migration, remittances and the economy, this research considers the nexus among the human capital flight and output growth variables by using the autoregressive distributed lag (ARDL) method of analysis for time series data between 1986 and 2018.

The net migration rate from Nigeria was found from the empirical analysis to be more disadvantageous for the economy, given its negative relationship with economic growth despite the large volume of foreign incomes (remittances). It also shows that secondary school enrolment positively and significantly impacted the Nigerian growth rate in the long run.

This research has widened the use of variables by combining net migration rate, remittances from abroad, population growth rate and secondary school enrolment to obtain a more robust outcome with implications for research and practice.

Ideal estimates of the intergenerational elasticity (IGE) in income require a large panel of income data covering the entire working lifetimes for two generations. Previous studies have demonstrated that using short panels and covering only certain portions of the life cycle can lead to considerable bias. I address these biases by using the PSID and constructing long time averages centered at age 40 in both generations. I find that the IGE in family income in the United States is likely greater than 0.6 suggesting a relatively low rate of intergenerational mobility in the United States. I find similar sized estimates for the IGE in labor income. These estimates support the prior findings of Mazumder (2005a, b) and are also similar to comparable estimates reported by Mitnik et al. (2015). In contrast, a recent influential study by Chetty, Hendren, Kline, Saez (2014) using tax data that begins in 1996 estimates the IGE in family income for the United States to be just 0.344 implying a much higher rate of intergenerational mobility. I demonstrate that despite the seeming advantages of extremely large samples of administrative tax data, the age structure, and limited panel dimension of the data used by Chetty et al. leads to considerable downward bias in estimating the IGE. I further demonstrate that the sensitivity checks in Chetty et al. regarding the age at which children’s income is measured, and the length of the time average of parent income used to estimate the IGE suffer from biases due to these data limitations. There are also concerns that tax data, unlike survey data, may not adequately reflect all sources of family income. Estimates of the rank–rank slope, Chetty et al.’s preferred estimator, are more robust to the limitations of the tax data but are also downward biased and modestly overstate mobility. However, Chetty et al.’s main findings of sizable geographic differences within the US in rank mobility are unlikely to be affected by these biases. I conclude that researchers should continue to use both the IGE and rank-based measures depending on their preferred concept of mobility. It is also important for researchers to have adequate coverage of key portions of the life cycle and to consider the possible drawbacks of using administrative data.

This paper documents how gender differences in occupational status (defined by earnings, education, and returns to skills) have evolved over time and across generations. The paper finds a persistent gender earnings gap, a reversal of the education gap, and a convergence in starting salaries and returns to experience. Divergent occupational choices might explain part of the persistent gender gaps and women’s failure to reach parity with men in the earnings distribution. Women choose more flexible jobs than men. But whereas men dominate women in high-powered occupations, they are also more likely to be in low-skilled low-pay occupations. Differential effects of children and time spent keeping house explain most of the gender gap in high-powered occupations but cannot explain fully why women choose more flexible occupations.

The European Union’s Digital Markets Act (DMA) calls for far-reaching changes to the way economic activity will occur in EU digital markets. Before its remedies are imposed, it is critical to assess their impacts on individual markets, the digital sector, and the overall European economy. The European Commission (EC) released an Impact Assessment in support of the DMA that purports to evaluate it using cost/benefit analysis.

An economic evaluation of the DMA should consider its full impacts on dynamic competition. The Impact Assessment neither assesses the DMA's impact on dynamic competition in the digital economy nor evaluates the impacts of specific DMA prohibitions and obligations. Instead, it considers benefits in general and largely ignores costs. We study its benefit assessments and find they are based on highly inappropriate methodologies and assumptions. A cost/benefit study using inappropriate methodologies and largely ignoring costs cannot provide a sound policy assessment.

Instead of promoting dynamic competition between platforms, the DMA will likely reinforce existing market structures, ossify market boundaries, and stunt European innovation. The DMA is likely to chill R&D by encouraging free riding on the investments of others, which discourages making those investments. Avoiding harm to innovation is critical because innovation delivers large, positive spillover benefits, driving increases in productivity, employment, wages, and prosperity.

The DMA prioritizes static over dynamic competition, with the potential to harm the European economy. Given this, the Impact Assessment does not demonstrate that the DMA will be beneficial overall, and its implementation must be carefully tailored to alleviate or lessen its potential to harm Europe’s economic performance.