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PurposeThis study explores the career trajectories of Chief Executive Officers (CEOs) to uncover unique characteristics that contribute to their success. By utilizing web scraping and machine learning techniques, over two thousand CEO profiles from LinkedIn are analyzed to understand patterns in their career paths. This study offers an alternative approach compared to the predominantly qualitative research methods employed in previous research.Design/methodology/approachThis study proposes a framework for analyzing CEO career patterns. Job titles and company information are encoded using the Standard Occupational Classification (SOC) scheme. The study employs the Needleman-Wunsch optimal matching algorithm and an agglomerative approach to construct distance matrices and cluster CEO career paths.FindingsThis study gathered data on the career transition processes of graduates from several renowned public and private universities in the United States via LinkedIn. Employing machine learning techniques, the analysis revealed diverse career trajectories. The findings offer career guidance for individuals from various academic backgrounds aspiring to become CEOs.Research limitations/implicationsThe building of a career sequence that takes into account the number of years requires integers. Numbers that are not integers have been rounded up to facilitate the optimal matching process but this approach prevents a perfectly accurate representation of time worked.Practical implicationsThis study makes an original contribution to the field of career pattern analysis by disclosing the distinct career path groups of CEOs using the rich LinkedIn online dataset. Note that our CEO profiles are not restricted in any industry or specific career paths followed to becoming CEOs. In light of the fact that individuals who hold CEO positions are usually perceived by society as successful, we are interested in finding the characteristics behind their success and whether either the title held or the company they remain at show patterns in making them who they are today.Originality/valueAs a matter of fact, nearly all CEOs had previous experience working for a non-Fortune organization before joining a Fortune company. Of those who have worked for Fortune firms, the number of CEOs with experience in Fortune 500 forms exceeded those with experience in Fortune 1,000 firms.

Purpose While previous research on opting out has been mainly about women who leave their careers altogether, the purpose of this paper is to follow a broader definition of opting out to investigate the process and experience of women developing agency as they leave masculinist career patterns to adopt alternative career solutions. Design/methodology/approach Building on an interdisciplinary framework and a narrative approach, this paper analyses the opting out and in processes of women managers in Finland and the USA. Findings This paper demonstrates four micro-strategies that the women used to develop individual agency in their processes of opting out of masculinist career models and opting in to alternative solutions for work. These micro-strategies are redefining career success, transcending boundaries, renegotiating working conditions and keeping in touch with professional networks. Practical implications Organisational leaders can use the knowledge of the strategies that empower women in their opting out processes when making decisions regarding working practices. In order to retain their employees, organisations should be supportive of employees’ individual agency and their participation in developing work structures, as well as providing more opportunities for two-way blurring between work and family instead of the current one-way blurring where work spills over to family life, increasing work-family conflict. Originality/value This paper develops a framework to better understand women’s agency during the process of opting out of corporate careers and opting in to solutions like part-time work and self-employment, deepening the current understanding of these solutions and presenting the micro-strategies they use to develop reflexive agency.

Many working women will experience sexual harassment at some point in their careers. While some report this harassment, many leave their jobs to escape the harassing environment. This mixed-methods study examines whether sexual harassment and subsequent career disruption affect women's careers. Using in-depth interviews and longitudinal survey data from the Youth Development Study, we examine the effect of sexual harassment for women in the early career. We find that sexual harassment increases financial stress, largely by precipitating job change, and can significantly alter women's career attainment.

Generational differences in the workplace have been a popular topic over the past two decades, generating a volume of articles, book chapters and books. We critically review the research evidence concerning generational differences in a variety of work-related variables, including personality, work values, work attitudes, leadership, teamwork, work–life balance and career patterns, assess its strengths and limitations, and provide directions for future research and theory. Our review indicates that the growing body of research, particularly in the past 5 years, remains largely descriptive, rather than exploring the theoretical underpinnings of the generation construct. Evidence to date is fractured, contradictory and fraught with methodological inconsistencies that make generalizations difficult. The results of time-lag, cross-temporal meta-analytic and cross-sectional studies provide sufficient “proof of concept” for generation as a workplace variable, but further theoretical and qualitative work is needed to flesh out mediators and moderators in the relationship between generation and work-related variables. We conclude by arguing for a more nuanced and theoretical research agenda that views generation as a social force in organizations rather than as merely a demographic variable. We also call for qualitative research, greater consideration of context and more methodological rigor.

Interest in the drivers of firms’ corporate social responsibility (CSR) is growing. However, little is known about the influence of a CEO’s childhood experience of natural disasters on CSR. Using archival data, we explore this relationship by offering three mechanisms that may account for how the CEO’s childhood experience of natural disaster is related to their CSR. More specifically, while prior research has established a positive relationship based on the post-traumatic growth theory, we show that the dual mechanisms of prosocial values and a CEO’s risk aversion explain the positive relationship. We further find that the positive relationship is stronger (1) when CEOs have longer career horizons and (2) when community social capital is high. This study contributes to both research and managerial implications on the topics of CEO’s childhood experience and CSR. In particular, this study advances the upper echelon theory by revealing that a CEO’s childhood experience of natural disaster is a useful yet relatively underexplored variable that can help explain the substantial variations in firms’ CSR. Moreover, we emphasize that a CEO’s career horizons and level of community social capital are important variables that further amplify the effect of a CEO’s childhood experience of natural disaster on the firm’s CSR commitment.

Engineering remains one of the most highly and persistently sex segregated occupations in the United States. Though extant literature submits that women’s increased access to managerial positions in male-dominated occupations should represent an important strategy for addressing sex segregation, my analysis of 61 interviews with industry engineers suggests that increasing women’s disproportionate representation in managerial roles in engineering may promote the very sex segregation it is attempting to mitigate. The analysis highlights how organizations reinforce female engineers’ movement into managerial roles and foster a form of intraoccupational sex segregation with unintended consequences for women. These consequences include fostering mixed identification with engineering, reinforcing stereotypes about women’s suitability for technical work, and increasing work–life balance tensions. The findings further suggest that an inverted role hierarchy in engineering may explain these gendered career patterns and their unintended consequences. By inverted role hierarchy I mean the valuing of technical over managerial roles. Implications for the literatures on occupational sex segregation, women’s representation in managerial roles, and the experience of women in male-dominated occupations are discussed. The online appendix is available at https://doi.org/10.1287/orsc.2017.1132 .

Children are already learning at birth, and they develop and learn at a rapid pace in their early years. This provides a critical foundation for lifelong progress, and the adults who provide for the care and the education of young children bear a great responsibility for their health, development, and learning. Despite the fact that they share the same objective - to nurture young children and secure their future success - the various practitioners who contribute to the care and the education of children from birth through age 8 are not acknowledged as a workforce unified by the common knowledge and competencies needed to do their jobs well. Transforming the Workforce for Children Birth Through Age 8 explores the science of child development, particularly looking at implications for the professionals who work with children. This report examines the current capacities and practices of the workforce, the settings in which they work, the policies and infrastructure that set qualifications and provide professional learning, and the government agencies and other funders who support and oversee these systems. This book then makes recommendations to improve the quality of professional practice and the practice environment for care and education professionals. These detailed recommendations create a blueprint for action that builds on a unifying foundation of child development and early learning, shared knowledge and competencies for care and education professionals, and principles for effective professional learning. Young children thrive and learn best when they have secure, positive relationships with adults who are knowledgeable about how to support their development and learning and are responsive to their individual progress. Transforming the Workforce for Children Birth Through Age 8 offers guidance on system changes to improve the quality of professional practice, specific actions to improve professional learning systems and workforce development, and research to continue to build the knowledge base in ways that will directly advance and inform future actions. The recommendations of this book provide an opportunity to improve the quality of the care and the education that children receive, and ultimately improve outcomes for children.

Purpose – Popular literature argues that successive generations are experiencing more job changes and changes of employer. The “new careers” literature also proposes that career mobility patterns are becoming more diverse as people engage in more downward and lateral job changes and changes of occupation. The purpose of this paper is to test these assertions by comparing the career mobility patterns across four generations of workers. Design/methodology/approach – The authors analyzed the career mobility patterns of four generations of Canadian professionals (n=2,555): Matures (born prior to 1946); Baby Boomers (1946-1964); Generation Xers (1965-1979) and Millennials (1980 or later). Job mobility, organizational mobility and the direction of job moves were compared across groups through analysis of variance. Findings – Significant differences were observed in job mobility and organizational mobility of the various generations, with younger generations being more mobile. However, despite significant environmental shifts, the diversity of career patterns has not undergone a significant shift from generation to generation. Originality/value – This is the first quantitative study to examine shifting career mobility patterns across all four generations in today’s workplace. The authors extend previous research on generational differences in job mobility by using novel measures of career mobility that are more precise than extant measures.

To extend research on the effects of networks for career outcomes, this paper examines how career processes shape network structure. I hypothesize that brokerage results from two distinct mechanisms: links with former coworkers and with friends of friends accumulated as careers unfold. Furthermore, I hypothesize that \"organizational misfits\"—people who followed career trajectories that are atypical in their organization—will have access to more valuable brokerage opportunities than those whose careers followed more conventional paths. I tested this hypothesis with career history data recorded longitudinally for 30,000 employees in a large information technology firm over six years and sequence-analyzed to measure individuallevel fit with typical career paths in the organization. Network position was measured using a unique data set of over 250 million electronic mail messages. Empirical results support the hypotheses that diverse, and especially atypical, careers have an effect on brokerage through mechanisms rooted in social capital, even when accounting for endogeneity between networks and mobility. In theorizing about misfit from prototypical patterns, this paper offers a new, theory-driven application of sequence-analytic methods as well as a novel measure of brokerage based on interactions across observable boundaries, a complement to the structural constraint measure based on interactions across holes in social structure.

Identifying scholars with potentials early in their careers is critical for informed evaluations, effective allocation of funding, and tenure decisions, which in turn propel advancements in science and technology. This paper investigates the impact of social capital features on the identification of such scholars. Utilizing a comprehensive dataset spanning from 1991 to 2020, extracted from the Microsoft Academic Knowledge Graph, we analyze the novelty values of 56,568 scholars’ future publications using disruption index. We identify potential scholars as those within the top 1% based on these values. Our approach involves extracting nine key features of structural, relational, and cognitive capital from the dynamic co-authorship networks of these scholars during their early career stages. The influence of these features on scholar identification is assessed through ablation experiments using an LSTM-based predictive model. Our findings underscore the critical importance of cognitive capital features in the identification process. Furthermore, the integration of structural and relational capital features markedly enhances the model’s predictive accuracy, achieving significant improvements in precision metrics. Notably, relational capital features demonstrate a greater influence than structural features in predicting scholar potentials. These results provide essential insights and practical implications for strategies aimed at recognizing and fostering outstanding academic talent.