Futurist-Job Fit Measure

The Futurist-Job Fit Measure (FJFM) is a comprehensive self-assessment tool designed to evaluate the qualifications and suitability of futurists for various roles. By categorizing futurists into six distinct types, the measure provides valuable insights into areas for professional development and alignment with desired roles. The FJFM enhances futurists’ self-awareness through 45 indicators. It also serves as a strategic tool for organizations seeking to optimize their workforce in strategic foresight. This paper outlines the development and validation of the FJFM. It demonstrates the tools’ reliability and validity based on a pilot study with a sample size of 150 candidates applying for futurist jobs. The pilot study employed rigorous statistical methods to assess the measure’s psychometric properties. Exploratory factor analysis confirmed a clear factor structure aligning with the nine determining factors of the FJFM, yielding a Kaiser-Meyer-Olkin (KMO) measure of 0.88, indicating adequate sampling adequacy, and a significant Bartlett’s test of sphericity (p < 0.001). Reliability analysis revealed high internal consistency across all factors, with Cronbach’s alpha values ranging from 0.84 to 0.92. Moreover, test-retest reliability demonstrated stability over time, with a Pearson correlation coefficient of 0.85 (p < 0.01) between initial and follow-up assessments. The findings suggest that the FJFM is a valid and reliable instrument for assessing person-job fit among futurists.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-04
DOI
https://doi.org/10.5281/zenodo.13990557
Primary Topic
Human Resource and Talent Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Futurist-Job Fit Measure

Zenodo (CERN European Organization for Nuclear Research)
Human Resource and Talent Management
article

Futurist-Job Fit Measure

article en

Abstract

The Futurist-Job Fit Measure (FJFM) is a comprehensive self-assessment tool designed to evaluate the qualifications and suitability of futurists for various roles. By categorizing futurists into six distinct types, the measure provides valuable insights into areas for professional development and alignment with desired roles. The FJFM enhances futurists’ self-awareness through 45 indicators. It also serves as a strategic tool for organizations seeking to optimize their workforce in strategic foresight. This paper outlines the development and validation of the FJFM. It demonstrates the tools’ reliability and validity based on a pilot study with a sample size of 150 candidates applying for futurist jobs. The pilot study employed rigorous statistical methods to assess the measure’s psychometric properties. Exploratory factor analysis confirmed a clear factor structure aligning with the nine determining factors of the FJFM, yielding a Kaiser-Meyer-Olkin (KMO) measure of 0.88, indicating adequate sampling adequacy, and a significant Bartlett’s test of sphericity (p < 0.001). Reliability analysis revealed high internal consistency across all factors, with Cronbach’s alpha values ranging from 0.84 to 0.92. Moreover, test-retest reliability demonstrated stability over time, with a Pearson correlation coefficient of 0.85 (p < 0.01) between initial and follow-up assessments. The findings suggest that the FJFM is a valid and reliable instrument for assessing person-job fit among futurists.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 50%
Human Resource and Talent Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Futurist-Job Fit Measure · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS