Exploring the moderating effect of gender in the relationship between individuals' aspirations and career success among engineers in Peru

Purpose: The aim of this paper is to analyse the relationship between career success and individual career aspirations for engineers, and to test whether this differs according to gender. The primary hypothesis in this research is that gender does make a significant difference.

Design/methodological/approach: The sample consists of 1011 engineers who graduated from a prestigious Peruvian college between 1998 and 2005. Female graduates constituted only 4% of the sample, which is similar to the national statistics for engineers in Peru during this period. The relationships were primarily tested using multiple regression and structural equation modelling analyses.

Findings: Findings show a positive relationship between individual career aspirations and career success for men, but not necessarily for women; this supports the hypothesis that gender moderates this relationship. Females seek more secure career orientation than their male counterparts. In addition, females have shown that their career success is more related to feminine themes such as achieving ‘work–family balance’. The findings are in line with previously published results in other countries in which female engineers have career orientations with a preference for a balance between work and family as well as work stability.

Research limitations/implications: The sample is limited to graduates from a single Peruvian college of engineering. Although the sample has similar demographic characteristic to a national population, a more heterogeneous sample is called for in a future research. Moreover, additional moderators should be incorporated, such as family background, residency (large urban cities vs. small villages) and perhaps other variables.

Practical implications: Results can help Human Resource Managers to design better career plans, which consider gender in defining policies for the attraction and retention of competent female engineers.     

Business fluctuations and bankruptcy avalanches in an evolving network economy

We analyze the properties of a three-sector network economy characterized by credit relationships connecting downstream and upstream firms (inside credit) and credit relationships connecting firms and banks (outside credit). The network topology changes over time due to an endogenous process of partner selection (the preferred-partner choice rule). The output of simulations shows that a business cycle at the macroeconomic level can develop as a consequence of the complex interaction of the heterogeneous financial conditions of the agents involved. In this paper we focus on the emergence of bankruptcy crises: the bankruptcy of one agent can bring about the bankruptcy of one or more other agents in a snowball effect of more or less large size, depending on the network structure and the incidence of non-performing loans on balance sheets of agents involved.     

Scale Effects,Savings and Factor Shares in a Human Capital-based Growth Model with Physical Capital Accumulation

Using a balanced-growth model with physical and human capital accumulation, we analyze quantitatively the long-run effects of changes in the savings rate and in income distribution (i.e. the shares of physical and human capital in income) on investment in skill acquisition, income growth, and the ratio of human to physical capital. In the long run, the ratio of physical to human capital is constant, so that these two factor inputs can grow at the same rate. This rate is a function of the economy's exogenous technological and preference parameters and depends positively on the share of skills invested in human capital formation. We also find that population growth is neither necessary nor conducive to economic growth, that the level of real income depends linearly on the level of human capital and that it is independent of population size.     

The health consequences of hazardous and nonhazardous child labor

The health consequences of child labor are ambiguous. On the one hand, heavy lifting, using dangerous tools and handling fertilizers may impact negatively on health. On the other, child labor could be used to achieve a minimal subsistence standard, without which the child could experience deteriorating health. Previous empirical studies are inconclusive because, until now, existing data sources could not disentangle between different activities performed by child workers. To establish how work is related to health, it is essential to know what activities are being performed. This study fills this gap with a unique child labor survey conducted in Peru in 2015. Child labor is classified into hazardous and nonhazardous activities. The econometric results suggest that children doing nonhazardous work are less likely to have health problems than nonworking children. Conversely, those that work in hazardous activities are potentially more likely to exhibit health concerns. A series of robustness tests confirm these findings. The results give impetus to the notion that child work increases total resources available for households, which can improve child health. Therefore, it is over and above this potential increment in resources that some hazardous activities worsen working children's health.     

Technological adaptation, trade, and growth

Technological Adaptation, Trade, and Growth. — Based on Grossman and Helpman’s 1991 seminal work, the authors provide a simple model extension where innovations created in the high-tech sector may be assimilated or adapted by the lowtech sector, thus generating nondecreasing returns in the production function of the latter. When applying a Heckscher-Ohlin framework the authors find that the effects of technological diffusion allow a country relatively scarce in human capital to benefit from nondecreasing rates of growth through its low-tech sector. They test this idea by using a dynamic panel data approach in order to deal with simultaneity and country heterogeneity. Their results are consistent with the predictions of the model and robust to a broad range of definitions of technological intensity.     

Determinants of the Use of the Internet as a Tourist Information Source

The modelling of usage behaviour of New Information Technologies is of great utility to managers who need to evaluate the probability of success in the introduction of these technologies. The present study empirically contrasts the capacity of Davis's Technology Acceptance Model 1989 to help understand the determinants of the intention to use the Internet to search for holiday information. The findings show that the above theory does explain the intention to use the Internet on the part of the tourist, but it should be expanded to take account of the tourist's satisfaction with previous experiences of searching for holiday information.     

The rise of the machines: Capital imports and real manufacturing wages in 57 nations

Outward-oriented policy reform has attracted a large number of academics to the study of the trade-labour market nexus. One of these fields has focused on capital intensive (machinery) imports and its effect on manufacturing wages. The skill-enhancing-trade (SET) hypothesis was put forth to explain a potential relationship where an inflow of capital imports results in increased demand for skilled labour and decreased that of unskilled labour, and thus resulted in a rise in skilled wages and a decrease in their unskilled counterparts. This study revisits this hypothesis with a panel from the manufacturing sector of 57 nations. We improve upon previous studies in a number of ways. We add developed nations to the sample and examine capital imports from rich countries as well as the rest of the world. This takes into account the prominence of vertical production networks in international trade. We adhere closely to the neo-classical trade model and employ definitions of skilled and unskilled workers that capture the production process of particular items. Finally, we fit a robust dynamic panel data model that accounts for the endogeneity of the determinants of trade and wages. In this way we test whether the SET hypothesis is generally applicable as opposed to previous studies which use an ad hoc selection of countries and variables. We find that the SET hypothesis is not driving changes in manufacturing wages. Instead, worker productivity and GDP per capita explain these labour market outcomes.     

The endogenous skill bias of technical change and wage inequality in developing countries

This paper draws on existing empirical literature and an original theoretical model to argue that technical change does not have to be skill-biased in developing countries. Instead, the extent to which technology adoption in developing countries favors skilled workers depends on a number of factors. Free trade induces technology that favors skilled workers in skill-abundant developing countries and that favors unskilled workers in skill-scarce developing countries, and therefore amplifies the predicted wage effects of trade liberalization. Developing countries experience technical change that is skill-biased when imported skill-biased technologies become relatively cheaper. Increased skill supply further biases technical change in favor of skilled labor. These features aid our understanding of the observed rises in inequality within developing countries, the absence of a significant downward effect of expanded educational attainment on skill premia, and the differential effects of trade liberalization on inequality.     

Why should I believe this? Deciphering the qualities of a credible online customer review

Online customer reviews have been shown to have a powerful impact on the sales of a given product or service. However, the qualities of a ‘credible’ online customer review are still subject to debate. Existing research has highlighted the potential influence of a range of factors on the credibility of an online customer review, but relies heavily on quantitative methods and a ‘top down’ approach. In turn, this can reduce our understanding of the influence of these factors into merely discerning whether one pre-determined factor is more influential than another is. This paper adopted a ‘bottom up’ thematic analysis of individual qualitative interviews with a purposeful sample of consumers who regularly utilised online customer reviews. The findings uncovered a range of factors that influenced the credibility of an online customer review that were attached to a reader’s personal experience and to the content of a specific review, and inferred the existence of a reciprocal relationship between the constructs of review helpfulness and review credibility.