Experience at Work: Why Employees Experience Their Work Differently

Research on Employee Experience Management (EXM) has traditionally emphasized demographic segmentation—age, gender, or educational level—as the main differentiators in how employees perceive their career path within organizations. However, this demographic focus shows fragmented evidence and limited explanatory power regarding the mechanisms that truly shape EX. To fill this gap, this study proposes a structural and contextual reformulation of EX segmentation, arguing that employee experiences vary less depending on who they are and more depending on their position within organizational systems. Using data from 403 employees across various sectors and an 18-item EXM scale covering Reputation, Recruitment, Physical, Technical, and Cultural Experiences, we performed t-tests, ANOVAs, cluster analysis, and effect size estimates. Findings show that hierarchical position is the main predictor of EX in the dimensions of Physical, Technical, and Cultural Experience, as well as in the overall dimensions, while demographic differences—especially age and education—are negligible. Employee seniority and organisational size have a significant impact on Cultural Experience, which emphasizes how socialisation and organisational structure shape the EX. These findings reveal that EX segmentation is essentially structural, underscoring the necessity of EXM strategies that prioritize employees, particularly those without management functions, and enhance cultural integration through leader communication and onboarding procedures.

Authors

Institutions

Publication Details

Journal
Administrative Sciences
Published
2026-04-14
DOI
https://doi.org/10.3390/admsci16040187
Primary Topic
Job Satisfaction and Organizational Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experience at Work: Why Employees Experience Their Work Differently

Paula Cristina Nunes Figueiredo
Administrative Sciences
Job Satisfaction and Organizational Behavior
article

Experience at Work: Why Employees Experience Their Work Differently

Paula Cristina Nunes Figueiredo
article en

Abstract

Research on Employee Experience Management (EXM) has traditionally emphasized demographic segmentation—age, gender, or educational level—as the main differentiators in how employees perceive their career path within organizations. However, this demographic focus shows fragmented evidence and limited explanatory power regarding the mechanisms that truly shape EX. To fill this gap, this study proposes a structural and contextual reformulation of EX segmentation, arguing that employee experiences vary less depending on who they are and more depending on their position within organizational systems. Using data from 403 employees across various sectors and an 18-item EXM scale covering Reputation, Recruitment, Physical, Technical, and Cultural Experiences, we performed t-tests, ANOVAs, cluster analysis, and effect size estimates. Findings show that hierarchical position is the main predictor of EX in the dimensions of Physical, Technical, and Cultural Experience, as well as in the overall dimensions, while demographic differences—especially age and education—are negligible. Employee seniority and organisational size have a significant impact on Cultural Experience, which emphasizes how socialisation and organisational structure shape the EX. These findings reveal that EX segmentation is essentially structural, underscoring the necessity of EXM strategies that prioritize employees, particularly those without management functions, and enhance cultural integration through leader communication and onboarding procedures.

Administrative SciencesVol. 16(4)
Universidade Politécnica de Lisboa (PT), Universidade Lusófona (PT)
Gender equality
Openalex Percentile: Top 23%
Job Satisfaction and Organizational Behavior
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.