Beyond labels: rethinking generation-based research and practice in the workplace

Purpose This paper aims to critically examine the application of generational labels in workplace research and practice with the purpose to provide human resources (HR) scholar-practitioners with insights into limitations and potential biases of this approach. Design/methodology/approach Building on Mannheim’s framework, this paper critiques commonly-held assumptions that have perpetuated misconceptions about generational differences. It highlights challenges with generational classifications, methodologies and stereotypes, while offering recommendations to improve future research and application in HR. Findings Often, HR practices accept generational differences without questioning how employees are grouped into generations. Although not a new phenomenon, these generalizations can create bias when comparing generations. Instead, HR scholar-practitioners can create thoughtful approaches and examine data based on other effects, such as period and life stage. Practical implications This paper provides support for HR leaders to question assumptions to study generations in organizations. Suggestions are provided to improve research, expand training and advance dialogue in the workplace and shift away from the traditional thinking about generations. Originality/value Grouping employees into generations is a common practice, which is not often challenged. This paper provides research-based insights for HR leaders who are managing data, programs and practices based on arbitrary generational groupings. Organizations need to be mindful of the pitfalls, take a nuanced approach and ensure practices are evidence-based.

Authors

Institutions

Publication Details

Journal
Strategic HR Review
Published
2024-10-18
DOI
https://doi.org/10.1108/shr-08-2024-0063
Primary Topic
Retirement, Disability, and Employment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond labels: rethinking generation-based research and practice in the workplace

Doreen K. Dockweiler
Strategic HR Review
Retirement, Disability, and Employment
article

Beyond labels: rethinking generation-based research and practice in the workplace

Doreen K. Dockweiler
article en

Abstract

Purpose This paper aims to critically examine the application of generational labels in workplace research and practice with the purpose to provide human resources (HR) scholar-practitioners with insights into limitations and potential biases of this approach. Design/methodology/approach Building on Mannheim’s framework, this paper critiques commonly-held assumptions that have perpetuated misconceptions about generational differences. It highlights challenges with generational classifications, methodologies and stereotypes, while offering recommendations to improve future research and application in HR. Findings Often, HR practices accept generational differences without questioning how employees are grouped into generations. Although not a new phenomenon, these generalizations can create bias when comparing generations. Instead, HR scholar-practitioners can create thoughtful approaches and examine data based on other effects, such as period and life stage. Practical implications This paper provides support for HR leaders to question assumptions to study generations in organizations. Suggestions are provided to improve research, expand training and advance dialogue in the workplace and shift away from the traditional thinking about generations. Originality/value Grouping employees into generations is a common practice, which is not often challenged. This paper provides research-based insights for HR leaders who are managing data, programs and practices based on arbitrary generational groupings. Organizations need to be mindful of the pitfalls, take a nuanced approach and ensure practices are evidence-based.

Strategic HR ReviewVol. 24(2)
Concordia University Wisconsin (US), University of Wisconsin System (US)
Openalex Percentile: Top 65%
Retirement, Disability, and Employment
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.