Going the distance in vocational behavior research: Introducing three extensions for optimal matching analysis based on distances between career sequences

Biemann, Torsten; Mühlenbock, Max; Dlouhy, Katja

doi:10.1016/j.jvb.2020.103399

Cited by 6 publications

(8 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, differentiating between single changes (such as an inter-employer change within the same industry), simultaneous changes (such as interindustry and inter-employer changes) or the type of changes (e.g., with regards to functional changes, from a primary activity to a support activity or vice versa), could reveal further insights about top managers' career variety. Considering these refinements in our career variety construct may also lead to other research methods, such as optimal matching analysis (Biemann et al, 2020;Vinkenburg & Weber, 2012), which could complement the results of our cluster analysis.…”

Section: Limitations and Further Researchmentioning

confidence: 90%

Top managers' career variety and time to the top

Schmid

Mitterreiter

2021

European Management Review

View full text Add to dashboard Cite

The present paper brings novel insights to career literature, in particular to the field of top managers' careers: first, by relying on the boundaryless career approach, we investigate how those managers who reach the top differ in terms of career variety before being appointed to the board. Second, by combining the boundaryless career approach with human capital theory, we analyze the association between top managers' career variety and the time it takes them to reach a board level position. For our empirical study, we use a sample of top managers from German DAX‐30 firms. Our results reveal four distinct clusters of top managers, indicating that, before reaching the management board, no uniform career path exists. We also demonstrate that more career variety does not shorten an individual's way up to upper echelons; rather, it extends the time it takes to ascend to the top.

show abstract

Section: Limitations and Further Researchmentioning

confidence: 90%

Top managers' career variety and time to the top

Schmid

Mitterreiter

2021

European Management Review

View full text Add to dashboard Cite

show abstract

“…We employed sequence analysis as our data mining technique to explore our research questions. Sequence analysis stands as a powerful approach that aims to identify patterns within a specific group of individuals (Abbott and Hrycak, 1990; Biemann et al. , 2020; Joseph et al.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…This includes roles, job requirements, and 20 executive competencies associated with over 1,000 positions. Subsequently, we employed sequence analysis (Abbott and Tsay, 2000;Biemann et al, 2020;Joseph et al, 2012) to address strategic issues. Specifically, we aimed to answer three key questions: (1) What are the primary developmental paths of work experience that lead to the first-time general manager position?…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimize your leadership pipeline: leveraging HR analytics for C-suite executive development

Zhu

Wang

Hall

2023

IJM

View full text Add to dashboard Cite

PurposeThis 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.Design/methodology/approachBy 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.FindingsThis 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.Originality/valueBy 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.

show abstract

“…This approach to sequence analysis has been used in both sociology and biology. For example, it has been used to identify trends in career histories and career mobility (Abbott & Hrycak, 1990;Biemann et al, 2020;Blair-Loy, 1999;Chan, 1995;Dlouhy & Biemann, 2018;Halpin & Cban, 1998), life course trajectories (Gabadinho & Ritschard, 2013;Martin et al, 2008;Pailhé et al, 2013), and DNA and protein sequences (Durbin et al, 1998;Kruskal, 1983). Within the learning analytics community, OM has been used to identify study pattern sequences among MOOC learners (Boroujeni & Dillenbourg, 2019).…”

Section: Learner Profilesmentioning

confidence: 99%

Learning While Working:

et al. 2022

View full text Add to dashboard Cite

As the demand for lifelong learning increases, many working adults have turned to online graduate education in order to update their skillsets and pursue advanced credentials. Simultaneously, the volume of data available to educators and scholars interested in online learning continues to rise. This study seeks to extend learning analytics applications typically oriented toward understanding student interaction with course content, instructors, and peers to the program level in order to gain insight into the ways in which adult learners manage their learning progress over multiple courses and multiple semesters. Using optimal matching analysis, we identify four distinct profiles of course enrollment behaviour among 1,801 successful graduates of an online master’s program that differ with respect to course load, semesters off, and graduation speed. We found that profiles differed significantly as a function of age and knowledge background, but not with respect to gender, ethnicity, or previous academic performance. Findings indicate the utility of expanding learning analytics focused on the micro-level of analysis to the macro-level of analysis and the utility of grounding learning analytics applications geared toward adult learners in a lifespan development perspective. Implications for program design and educational interventions are discussed.

show abstract

Going the distance in vocational behavior research: Introducing three extensions for optimal matching analysis based on distances between career sequences

Cited by 6 publications

References 70 publications

Top managers' career variety and time to the top

Top managers' career variety and time to the top

Optimize your leadership pipeline: leveraging HR analytics for C-suite executive development

Learning While Working:

Contact Info

Product

Resources

About