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To analyse two important effects of the level of social concern in the firm. First, the effect on the labour force composition, i.e. do particular types of concerns attract certain kinds of employees? Second, the effect on the wage level within the firm, i.e. do firm‐provided social concerns substitute for money wages, or are they provided as an additional compensation?

Empirical analysis using a survey on more than 2,000 firms, linked to administrative data for each employee in the firms. Estimates wage equations using the IV approach to deal with endogeneity of the level of social concerns. Two competing theories aiming to explain the use of social concerns toward employees, the compensating wage differential theory and corporate social responsibility, are compared.

Finds indications in favour of the compensating wage differential theory when looking at wage effects at the firm level, whereas looking at the target group level finds that white‐collar workers might experience higher levels of social concerns without having lower wages, which contrast the theory of compensating wage differentials.

The paper compare two well‐established theories within two different disciplines – the compensating wage differential theory from economics, and CSR from management. This is done using solid empirical analysis.

The purpose of this paper is to compare the importance currently placed on meaningful work (MFW), and determine the frequency by which it is experienced in blue-, pink-, and white-collar occupations.

Using the comprehensive meaningful work scale (Lips-Wiersma and Wright, 2012) with 1,683 workers across two studies, ANOVAs were conducted to examine differences in dimensions of MFW.

While unity with others and developing the inner self were regarded as equally important for white-, blue-, and pink-collar workers, the authors data suggest that white-collar workers placed more importance on expressing full potential and serving others than blue-collar workers. The frequency of experiencing MFW differed across the three groups with white-collar workers experiencing higher levels of unity with others, expressing full potential, and serving others; however no mean differences were found for developing the inner self.

This study is the first to empirically investigate an oft-discussed but previously untested question: does the experience of MFW differ across white-, blue-, and pink-collar jobs?

A recent research project on white collar quality circles in manufacturing industry was carried out because previous research at UMIST indicated that white collar circles were more difficult to set up and sustain. The study involved interviews in eleven companies which had or had had white collar circles, and questionnaire surveys of manufacturing companies and quality circle consultants. The findings indicate that white collar circles are no more difficult to initiate than blue collar circles but they can be harder to sustain. There was little evidence that companies were aware of the benefits of increasing white collar productivity or the part that circles can play in this and white collar workers are often sceptical about the relevance of circles to them. It was also found that white collar circles can face difficulties such as problem choice, over‐complex projects, organising meetings and a tendency to form multi‐disciplinary groups. Companies intending to start white collar circles need to be aware of the pitfalls but these should not deter them from setting them up.

This paper is the first to present empirical evidence consistent with models of signaling through unemployment and to uncover a new stylized fact using the 1988–2006 Displaced Worker Supplement (DWS) of the Current Population Survey (CPS), namely that, among white-collar workers, post-displacement earnings fall less rapidly with unemployment spells for layoffs than for plant closings. Because high-productivity workers are more likely to be recalled than low-productivity ones, they may choose to signal their productivity though unemployment, in which case the duration of unemployment may be positively related to post-displacement wages. Identification is done using workers whose plant closed as they cannot be recalled, and no incentives to signal arise.

A study carried out at UMIST of the operation of white‐collar circles in manufacturing firms is reported. Despite the problems associated with initiating and sustaining white‐collar circles, it is not suggested that they should be avoided.

This study sought to examine the attitudes of blue-collar workers toward job automation. The study examined the relations between job automation, fear of job loss and self-actualization.

Using mixed methods (qualitative and quantitative analysis) with 539 participants overall, we examined employees' attitudes toward job automation through two separate studies conducted in a large public organization that employs blue-, white- and pink-collar employees. The blue-collar workers who participated consisted of waste collectors, gardeners and parking supervisors whose work is at risk of job automation.

We found that 74% of the blue-collar employees described technology as a “replacer” that simplifies and reduces human work activities, while only 3% perceived it as an “enabler” that could enrich their jobs and expand human potential. Fifty-three percent of the employees in the white-collar professions described technology as a “replacer,” and 36% perceived it as an “enabler.” Among pink-collar workers, 51% perceived technology as an “enabler,” while only 14% perceived it as a “replacer.” A positive relationship between job automation and self-actualization was evident for pink- and white-collar workers, but not for blue-collar workers.

This study sheds light on how employees in different types of jobs perceive technological advancements at work. A classification of the perception of technology as an “enabler” vs a “replacer” is presented. The relationships between job automation and self-actualization in different job types are explored.

In this paper, we update and extend “Is There a Glass Ceiling in Sweden?” (Albrecht, Björklund, & Vroman, 2003) by documenting the extent to which the gender log wage gap across the distribution in Sweden has changed over the period 1998–2008. We then examine the Swedish glass ceiling in 2008 in more detail by documenting how it differs for white-collar versus blue-collar workers and for private- versus public-sector workers. We also examine when in the life cycle the glass ceiling effect arises and how this effect develops around the birth of the first child. Finally, we investigate the possible connection between the glass ceiling and the parental leave system in Sweden by linking wage data with data on parental leave from different Swedish registers.

Both academia and policymakers express a strong belief in higher average education levels exerting a narrowing impact on wage inequality in general and gender wage gaps in particular. The purpose of this paper is to scrutinize whether or not this effect extends to R&D- and export-intensive branches such as the technology industry.

In exploring the impact of individual and job-related background factors and, especially, of job-task evaluation schemes on the size and change in gender wage gaps in the technology industry, the paper applies an elaborated decomposition method based on unconditional quantile regression techniques.

While changes in standard human capital endowments can explain little, if anything, of the growth in real wages or the widening of wage dispersion among the Finnish technology industry's white-collar workers, a new job-task evaluation scheme introduced in 2002 seems to have succeeded, at least in part, to make the wage-setting process more transparent by re-allocating especially the technology industry's female white-collar workers in a way that better reflects their skills, efforts and responsibilities.

One crucial implication of this finding is that improving the standard human capital of women closer to that of men will not suffice to narrow the gender wage gap in the advanced parts of the economy and, hence, not also the overall gender wage gap. The reason is obvious: concomitant with rising average education levels, other skill aspects have received increasing attention in working life. Consequently, a conscious combination of formal and informal competencies as laid down in well-designed job-task evaluation schemes may, in many instances, offer a more powerful path for tackling the gender wage gap.

While the existing evidence on the impact of performance-related pay on gender wage gaps is still scarce but growing the authors know of no empirical studies analyzing the gender pay-gap effect of job-task evaluation systems.

The purpose of this paper is to investigate empirically whether job assignment, based on comparative advantage and learning about workers’ abilities, can explain wage and promotion dynamics within firms.

The Gibbons and Waldman model is estimated in a generalized method of moments (GMM) framework using a unique data set on white‐collar workers in Norway, for the years 1987‐1997. The estimation is carried out on two occupational groups: technical and administrative white‐collar workers.

The placing of workers in a given position within a firm's hierarchy is based on comparative advantage. Both measurable and unmeasurable skills are important. This holds in both occupations that were studied in this investigation. When it comes to firms’ learning about their workers, the results are not so clear; however, overall, the results on learning seem to have stronger support than found in previous studies. In general, there is more evidence for learning about administrative white‐collar workers than learning about technical white‐collar workers.

This paper contributes to a very small thread of empirical literature concerning wage and promotion dynamics within firms using linked employer‐employee data that contain detailed information on firm hierarchies.