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The main purpose of the study is to examine the intellectual structure of academic studies on blue-collar workers. In this context, (1) productivity and evolution of the field, (2) conceptual dimensions, (3) citation density and (4) structure of academic networks related to blue-collar workers were analyzed. The findings of the study produced results covering all fields of science, not just management and organization. As a result of the study, blue-collar studies by years, the most cited blue-collar studies, the researchers who published the most frequently about blue-collar workers, the researchers who conducted the longest research on blue-collar workers, the most frequently used keywords and academic networks in blue-collar studies are determined. The most important finding is that the blue-collar issue is the common intersection point of different fields of science such as health, medicine, finance, management and organization, marketing, psychology and sociology.

Relying on Social Identity Theory (SIT), Relative Deprivation Theory (RDT) and System Justification Theory (SJT), this study aims at examining identity enhancement strategies of blue-collar workers who might be described as members of low-status groups having negative social identity. In the scope of this study, individual and collective strategies for identity enhancement of blue-collar workers have been proposed with the support of above mentioned theories. First of all, factors determining identity enhancement strategies have been described. Then, individual mobility conditions were explained and informal workplace learning was suggested as an individual mobility strategy for blue-collar workers to enhance social identity. In addition, it was argued that high self-monitoring blue collars are more likely than low self-monitoring blue collars to use individual mobility strategy. It was also emphasized that through union membership, high identifier blue collars will adopt a collective identity enhancement strategy. Finally, acceptance of low-status strategy was proposed for blue-collar workers in case they perceive their group’s low status as stable and legitimate.

This paper presents the second-generation estimates for the Italian engineering industry in 1911, a year documented both by the customary demographic census, and the first industrial census. The first part of this paper uses the census data to estimate the industry’s value added, sector by sector; the second further disaggregates each sector by activity, and estimates the value added, employment, physical product, and metal consumption of each one. A third, concluding section dwells on the dependence of cross-section estimates on time-series evidence. Three appendices detail the specific algorithms that generate the present estimates; a fourth, a useful sample of firm-specific data.

The role and contributions of blue and gray collar employees in strategy making in practice are generally ignored, and left out of scientific inquiry. However, the authors argue that they are “hidden actors” in the strategy making process, and “silent heroes” of the strategy. Their participative role is generally seen limited to operational phases of strategy. Nevertheless, recent literatures have fruitful implications on blue and gray collars workers’ contributions in formulation phase. Upper echelon (Hambrick, 1987; Hambrick & Mason, 1984) and strategy as practice (SAP) literatures (Jarzabkowski & Spee, 2009; Whittington, 2006) are suggested to be closely scrutinized since the former has incorporated the middle- and low-level teams of management in the explanation (Carpenter, Geletkancz, & Sanders, 2004), and the latter takes “practice” as a prominent research perspective, and thus enable us to approach strategy phenomena from a wider context of practitioners, practices, and praxis (Jarzabkowski, Balogun, & Seidl, 2007; Jarzabkowski & Wilson, 2002). Overall, this chapter suggests that future studies could question the hidden assumptions behind strategy approaches to trace the assumed image and role of blue and gray collars in strategy making, and go further to integrate their deserved role in strategy process, content, context, and cognition.

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.

We use household panel data to explore the wage returns associated with training incidence and intensity (duration) for British employees. We find these returns differ depending on the nature of the training, who funds the training, the skill levels of the recipient (white- or blue-collar), the age of the employee and if the training is with the current employer or not. Using decomposition analysis, training is found to be positively associated with wage dispersion: a virtuous circle of wage gains and training exists in Britain but only for white-collar employees.

We report three findings in a comprehensive study of hourly wage differences between women and men working in same occupation and establishment in Sweden in 1970–1990. (1) Within same occupation and establishment in 1990, women on average earn 1.4% less than men among blue-collar workers, 5.0% less among white-collar employees. This occupation-establishment level wage gap declined strongly from 1970 to 1978. (2) For white-collar employees, occupational segregation accounts for much of the wage gap, establishment segregation for little. For blue-collar workers both types of segregation are important. (3) The within-occupation gaps are small, below 4% and 7% for blue- and white-collar workers.

To examine perceptions of organizational atmosphere and joint ownership in a firm in which capital ownership is broadly shared among members of its work force.

A questionnaire was administered with a sample of 123 people from a Mondragon cooperative firm, ULMA Architectural Solutions, and responses were analyzed using principal components’ analysis and regression techniques.

Two factors are found to play especially important roles in explaining perceptions: (1) work and management/supervisory practices, especially those relating to communication and participation in decisions in respondents’ immediate work area, and (2) job type (blue collar vs. white collar).

The study confirms earlier research on the broad centrality of participation and related practices to perceptions of work and the organization in employee ownership settings, while findings focus on the immediate work environment and relationships with immediate managers for blue-collar workers.

These are closely related to the research implications, underlining the importance to worker-owners, in manufacturing contexts, of communication and involvement in decisions in their immediate work environment.

Widespread concerns about inequality, poor working conditions, and competitiveness suggest the importance of investigating enterprises with broadly shared capital ownership, enterprises that tend to address these concerns.

The chapter reinforces the fundamental roles of information-sharing and participation in enterprises with shared ownership, while making key distinctions between shopfloor and office workers experiences and perceptions.

The nature of work has changed in the past 30 years but we do not know what these changes have meant for worker job stress. In this chapter we compare data from three surveys of the quality of work life from 1972 to 2002. At the most general level, work today is less stressful than it was in 1972. Workers report fewer job demands, more decision latitude, less job strain, more job security and greater access to job resources and job support. However, these changes have not affected all workers equally. Women, those with less education, non self-employed workers, blue collar workers and workers in manufacturing industries showed the greatest decreases in job stress although levels of job stress remain higher than for comparison groups (men, college educated, white collar, service workers). Changes were not always linear across time suggesting that some aspects of job strain are sensitive to economic cycles.