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Innovating for the Future of Careers: Innovative Pathways for Researching Sustainable Careers

2024· article· en· W4400440426 on OpenAlexaffabout
Ans De Vos, Jos Akkermans, Béatrice van der Heijden, Rodrigo Mello, Anneleen Forrier, Jelena Zikic, Aniqa Rehman, Denise M. Jepsen, Mirit K. Grabarski, Alison M. Konrad, Lucas Monzani, Jenifer Lynn Robertson, Maria Mouratidou, Annabelle Hofer

Bibliographic record

VenueAcademy of Management Proceedings · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsWestern UniversityLakehead University
Fundersnot available
KeywordsCareer PathwaysEngineering ethicsBusinessKnowledge managementSociologyEngineeringComputer scienceOperations management

Abstract

fetched live from OpenAlex

In a context of rapid and disruptive change, there is a need for innovations in the way careers are being conceived, researched and managed. In recent years, the topic of sustainable careers has received increased interest from scholars as a promising perspective to understand contemporary careers, as evidenced by various academic publications. Sustainable careers research focuses on the dynamic interplay of person, context, and time to study how person-career fit can enhance the long-term sustainability (i.e., happiness, health, and productivity) and success of people’s careers. Recent research has applied the sustainable career model to, for example, the challenges of career sustainability for different groups of workers, the processes involved in career sustainability over time, and the interplay of multiple stakeholders in different contexts affecting sustainable careers. However, there is a need for further (critical) examination of the key relationships between context, person and time in affecting career sustainability as well as in the meaning of and interplay between its key indicators (health, happiness, productivity). There is a need to further develop and expand existing models with more specific concepts to allow for targeted empirical research testing the basic principles of career sustainability. Therefore, this symposium brings together five state-of-the-art research projects that each add a valuable phenomenon that expands and deepens the model of sustainable careers: (1) digitization, (2) multiple job holding, (3) career empowerment, (4) career sacrifice, and (5) sustainable career orientation. The first paper addresses the pertinent challenges for careers brought along by rapid digitization and provides a comprehensive review of empirical studies addressing how the increase in various types of digital tools impacts individuals' career trajectories. In the second paper, the enriching versus depleting impact of multiple jobholding on career sustainability is explored through a qualitative study, thereby considering the dimensions of person, context and time. The third paper builds upon the interplay between person and context and addresses the role of the leader in stimulating career empowerment as a vehicle for career sustainability. The fourth paper takes a sensemaking perspective to theorize about career sacrifice valuation as a process which may explain whether and how unconventional and sometimes imperfect decisions may still lead to sustainable careers over time. In the fifth paper, the concept of sustainable career orientations is introduced and operationalized via a scale validation study, aimed to further our understanding of who might be more or less likely to focus on establishing high levels of career sustainability. Taken together, the five papers included in this symposium provide new insights into the meaning of sustainable careers, offering suggestions for further refinement, adaptations, and empirical examination. Digitalization and Sustainable Careers: A Literature Review and Research Agenda Author: Rodrigo Mello; U. of Vaasa Multiple Jobholding and Career Sustainability Author: Aniqa Rehman; Macquarie Business School, Macquarie U. Author: Denise Mary Jepsen; Macquarie Business School, Macquarie U. Author: Grant Michelson; Macquarie U. Empowering Sustainable Careers Author: Mirit K. Grabarski; Lakehead U. Author: Alison M. Konrad; Western U. Author: Lucas Monzani; Ivey Business School Author: Jenifer Lynn Robertson; U. of Western Ontario Author: Maria Mouratidou; U. of Cumbria, UK How Sustainable are Sacrifices: Career Sacrifice Valuation as Unconventional Career Decision Making Author: Jelena Zikic; York U. Author: Anneleen Forrier; KU Leuven Conceptualization and Measurement of Sustainable Career Orientations Author: Jos Akkermans; Vrije U. Amsterdam Author: Beatrice Van Der Heijden; Radboud U. Nijmegen Author: Ans De Vos; U. of Antwerp/ Antwerp Management School Author: Annabelle Hofer; U. of Cologne

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.033
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.004
Science and technology studies0.0130.028
Scholarly communication0.0330.038
Open science0.0040.018
Research integrity0.0100.014
Insufficient payload (model declined to judge)0.0180.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.290
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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