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The aim of this paper is to describe the use of sequence analysis to model trajectories of life‐course economic activity status, within a broader research agenda aimed at improving understanding of the relationship between socioeconomic position and health.

The analysis used data on 288 participants of the Boyd Orr Stratified Sub‐Sample, comprising a combination of prospective and retrospective information on economic activity status, as well as health in early old age. Economic activity was coded as a time‐based sequence of states for each participant based on six‐month periods throughout their lives. Economic activity was classified as: pre‐labour market; full‐time employment; part‐time employment; housewife; made redundant; stopped work due to illness; retired; other unemployed; or not applicable. Optimal matching analysis was carried out to produce a matrix of distances between each sequence, which was then used as the basis for cluster analysis.

The optimal matching analysis resulted in the classification of individuals into five economic activity status trajectories: full‐time workers (transitional exit), part‐time housewives, career breakers, full‐time workers (late entry, early exit), and full‐time housewives.

The paper presents the case for using sequence analysis as a methodological tool to facilitate a more interdisciplinary approach to the measurement of the life‐course socioeconomic position, in particular attempting to integrate the empirical emphasis of epidemiological research with the more theoretical contributions of sociology. This may in turn help generate a framework within which to examine the relationships between life‐course socioeconomic position and outcomes such as health in later life.

Suggests that youth unemployment is seen in East Germany as a critical life event because not only may it “scar” individuals’ careers but there is the fear that it may be a cause of other social problems such as criminal and racist behaviour. Bases the study on event‐history and optimal‐matching analysis. Considers seven hypotheses about the impact of unemployment on social mobility career transitions. Findings suggest that unemployment can raise those chances of upward, downward and lateral mobility.

In organizational research the object of study is often a process, that is, a complex of events and activities that unfolds over time. In this chapter we focus on temporally ordered configurations, which can be defined as those configurations in which conditions occur in a specific temporal order. We illustrate the aims, characteristics, and limitations of several approaches that have been proposed as tools for the analysis of temporal order. Our illustration involves an analysis of the “gestation activities” of nascent entrepreneurs, that is, persons involved in the creation of a new firm. We aim to identify temporal sequences of gestation activities that generate or allow a successful outcome of the gestation process, while an occurrence of the same activities in another temporal order will not generate or allow that outcome. First we discuss Event Structure Analysis and Optimal Matching and conclude that these approaches cannot provide the kind of analysis that we are aiming at in this chapter. Then we discuss Temporal Qualitative Comparative Analysis, for which our analysis points to technical limitations that constrain its application. We then present and discuss an alternative approach, Temporal Necessary Condition Analysis.

This contribution introduces sequence analysis to higher education research, an explorative technique aiming at detecting patterns, regularities and resemblance in time-ordered data. Thereby, it enables a holistic perspective on over-time developments and processes such as educational pathways or academic careers. In this contribution, the foundations and general logic of sequence analysis will be described. As an example, referring to the life course as a framing paradigm, sequence analysis is applied to reconstruct the study trajectories of a cohort of bachelor students in Germany. The potential of sequence analysis in three specific higher education research areas is outlined, that is, to study post-secondary education trajectories, academic careers and the development trajectories of higher education organizations. The conclusion discusses advantages and disadvantages, challenges and practicalities.

The goal of this research was to explore career patterns of senior marketing managers in the best European football clubs (SMMEFCs).

The data came from the LinkedIn profiles of current and past SMMEFCs. Firstly, the optimal matching algorithm was used to determine clusters of pathways leading to a first SMMEFC position based on the main activity of the employing organisation. Secondly, these patterns were compared in terms of variables depicting the career paths, clubs and managers. Finally, the evolution of the post-SMMEFC careers was analysed.

People in their first SMMEFC positions are mainly male with a university degree in business and marketing, and with a predominantly functional experience in marketing. There are five ways to become an SMMEFC: through business (40% of the sample), football (32%), other sports (11%), marketing and communication (11%), and media (6%). As the majority of SMMEFCs come to their positions from outside the sporting world, the specificity of the football industry is not a serious obstacle. Instead, the careers are bounded by functional marketing experience. Among the individual sequences leading to a first SMMEFC position, only around half of the football cluster may be considered traditional careers. Football, and sports in general, seem attractive for post-SMMEFC career development for the majority of managers coming from all pathways.

The study is the first one to quantify career patterns in professional sports management. It provides new insights about marketing careers and practice in European club football.

This paper aims to contribute to the understanding of the effects of active political engagement in port-of-entry jobs and employment pathways for graduate students in a post-communist context which is characterized by clientelism. The data are derived from a structured survey of a small local labour market where political clientelism is pronounced due to the strong network ties. Controlling for both demand and supply factors, the authors identify a profile for those who are more prone to engage politically in exchange for public sector jobs, which are in turn vulnerable to regime changes.

The authors use data from a sample of 191 students that records month-to-month employment states for three consecutive years (2012–2014). The method attempts to replicate an experimental design with repeated measures before and after the June 2013 government elections. The data is analysed using sequence analysis with optimal matching and difference-in-difference methods.

The analysis provides evidence of links between political engagement and selection onto different employment pathways under conditions of political clientelism. The pathways themselves are also shown to be differentially impacted by the 2013 election (positively or negatively). Together, these results are supportive of claims that jobs in Albania, particularly those in the public sector, are linked to the short-term presence of vote-buying. This is shown to be the case even for this sample of educated members of the labour force (i.e. university graduates). The analysis also finds evidence of accumulative disadvantages over time, in relation to subjective perceptions of life satisfaction, migration intentions, employability and success in life, as a result of active political engagement.

The study uses a unique data set and a novel methodological approach, sequence analysis. Occupational history calendars were used to capture quantitative information recording detailed work histories. To the best of the authors’ knowledge, this innovative method has not been used before to measure the temporal effects of political engagement on employment pathways.

The purpose of this paper is to explore the extent to which project preferences and social capital constrain mobility in project‐based careers.

The paper analyzes the careers of 352 individuals who entered the motion picture industry between 1988 and 1990. It uses motion picture credit histories to generate role sequence paths. The paper quantifies differences between paths using optimal matching techniques and cluster analysis to classify paths into clusters. It validates the classification by testing hypotheses about differences between path clusters.

In addition to a large group of individuals who exit the industry after the initial credit, the paper identifies three distinct clusters of career paths that exhibit differences in the sex of individuals on them, in the persistence of relationships with employers, in employer characteristics, and in the nature of subsequent projects.

Because the paper is exploratory, general hypotheses are tested. Motion picture production may be an extreme example of project‐based production, which would limit generalizability.

Managers, individuals and career experts should recognize that mobility can be constrained and channeled by preferences in project type and by social capital. Employer celebrity appears to play no role in the careers of assistants, but control over many projects plays a significant role.

The paper demonstrates non‐organizational constraints on mobility in project‐based, apparently boundaryless, self‐managed careers.

Consecration represents the most definitive form of legitimation in every cultural field. Complementing previous research focused on individual, contextual, and structural conditions underpinning consecration, this paper takes a sequence analytical perspective and explores whether diverse creative trajectories are more frequently associated with consecration. We introduce the notion of signature style and the pace of category spanning as key features for consecration. We argue that a consecrated signature style is just as likely to result from a producer’s adherence to a specific style over time or from a consistent (and fast-paced) category-spanning creative trajectory. The resulting identity will be specialist in the first case, eclectic in the second. We analyze the stylistic trajectories of 863 electronic music artists and find robust support to our hypothesis. The analysis is corroborated by further exploratory findings that identify intriguing questions for future research. By examining the organization of creative journeys in the career of cultural producers, this paper emphasizes the importance of considering the unfolding and rhythm of creativity over time. This temporal perspective sheds new light on the dynamics of distinctiveness and consecration in cultural fields.

Research on job precarity and job instability have largely neglected the labor market trajectories in which these employment and non-employment situations are experienced. This study addresses the mechanisms of volatility and precarity in observed work histories of labor market entrants using the National Longitudinal Survey of Youth of 1997. Several ideal-typical post-education pathways are modeled for respondents entering the labor force between 1997 and 2010, with varying indicators and degrees of precarity. A series of predictive models indicate that women, racial-ethnic minorities, and lower social class labor market entrants are significantly more likely to be exposed to the most precarious early careers. Moreover, leaving the educational system with a completed associate’s, bachelor’s, or post-graduate degree is protective of experiencing the most unstable types of career pattern. While adjusting for these individual-level background and education variables, the findings also reveal a form of “scarring” as regional unemployment level is a significant macro-economic predictor of experiencing a more hostile and turbulent early career. These pathways lead to considerable earnings penalties 5 years after labor market entry.

This paper employs human resources (HR) analytics to investigate the pathways through which high-potential managers ascend to C-suite positions, and how different developmental paths influence turnover among executives.

By combining job analysis and competency assessment with sequence analysis, the authors utilize HR analytics to analyze the work experiences of 53 general managers spanning 57 years (n = 2,742), encompassing various roles, job requirements, and 20 executive competencies attached to over 1,000 positions.

This study's findings reveal three distinct developmental paths that lead to the C-suite, characterized by differences in the content, context, timing, and complexity of work experience. Furthermore, the authors identify that a more complex developmental path tends to reinforce executives' competency in self-awareness while inhibiting their development of technical competency, ultimately resulting in reduced executive turnover.

By employing HR analytics to analyze empirical data embedded in job and organizational contexts, this study sheds light on the critical role of timing and complexity of work experiences in executive development. It also offers practical implications for firms seeking to optimize their leadership pipeline and reduce executive turnover by leveraging HR analytics effectively.