Hierarchical Differences in Motivation for Engaging in Innovation Activities

We attempt to investigate whether there are distinct differences in attitudes and desires toward innovation based on job rank (generation) and whether these differences affect the implementation of innovation within companies; a preliminary survey was conducted among researchers affiliated with the research institute of a listed company. The survey results indicated that attitudes and desires toward innovation vary according to job rank (generation), aligning with the general characteristics of each generation. This finding suggests a new hypothesis: innovation productivity may be enhanced by tailoring innovation strategies to the specific traits of different generations. Future surveys will aim to differentiate between Generation X, Generation Y, and Generation Z more accurately, thereby providing a clearer understanding of the nuances among these generations.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.396
Primary Topic
Generational Differences and Trends
Type
article
Field-Weighted Citation Impact
0.00
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article

Hierarchical Differences in Motivation for Engaging in Innovation Activities

Hideki Hayashida, Yuta Kataoka, Mayu Fushimi
Procedia Computer Science
Generational Differences and Trends
article

Hierarchical Differences in Motivation for Engaging in Innovation Activities

Hideki Hayashida, Yuta Kataoka, Mayu Fushimi
article en

Abstract

We attempt to investigate whether there are distinct differences in attitudes and desires toward innovation based on job rank (generation) and whether these differences affect the implementation of innovation within companies; a preliminary survey was conducted among researchers affiliated with the research institute of a listed company. The survey results indicated that attitudes and desires toward innovation vary according to job rank (generation), aligning with the general characteristics of each generation. This finding suggests a new hypothesis: innovation productivity may be enhanced by tailoring innovation strategies to the specific traits of different generations. Future surveys will aim to differentiate between Generation X, Generation Y, and Generation Z more accurately, thereby providing a clearer understanding of the nuances among these generations.

Procedia Computer ScienceVol. 270
Tokyo University of Agriculture and Technology (JP)
Openalex Percentile: Top 55%
Generational Differences and Trends
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