From Work Motivation to Technology Acceptance in Public Organizations: Cognitive Pathways and Institutional Conditions

Digital transformation in public organizations depends not only on technological implementation, but also on how public employees interpret and respond to organizational change. This study examines how work motivation shapes public servants’ evaluative responses to technological systems by integrating Self-Determination Theory with the Unified Theory of Acceptance and Use of Technology (UTAUT). Using survey data from 317 civil servants of the Brazilian Federal Revenue Service collected during the implementation of a new information system, we test a mediation model using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that work motivation does not exert a significant direct effect on attitude toward technology use. Instead, its influence is fully transmitted through performance expectancy and facilitating conditions, while effort expectancy and social influence do not show significant effects. These findings indicate that motivation acts as a distal psychological condition whose impact depends on employees’ perceptions of performance gains and organizational support. By clarifying the cognitive pathways linking motivation to employees’ evaluations of technological change in mandatory-use public-sector contexts, this study advances research on digital transformation and employee-level dynamics in public organizations.

Authors

Institutions

Publication Details

Journal
Public Administration Quarterly
Published
2026-06-30
DOI
https://doi.org/10.1177/07349149261457394
Primary Topic
Technostress in Professional Settings
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From Work Motivation to Technology Acceptance in Public Organizations: Cognitive Pathways and Institutional Conditions

Márcia Athayde Moreira, Thiago Poleto, Emílio José Montero Arruda Filho, Everaldo Marcelo Souza da Costa et al.
Public Administration Quarterly
Technostress in Professional Settings
article

From Work Motivation to Technology Acceptance in Public Organizations: Cognitive Pathways and Institutional Conditions

Márcia Athayde Moreira, Thiago Poleto, Emílio José Montero Arruda Filho, Everaldo Marcelo Souza da Costa, Saima Consuelo Franco Barros
article en

Abstract

Digital transformation in public organizations depends not only on technological implementation, but also on how public employees interpret and respond to organizational change. This study examines how work motivation shapes public servants’ evaluative responses to technological systems by integrating Self-Determination Theory with the Unified Theory of Acceptance and Use of Technology (UTAUT). Using survey data from 317 civil servants of the Brazilian Federal Revenue Service collected during the implementation of a new information system, we test a mediation model using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that work motivation does not exert a significant direct effect on attitude toward technology use. Instead, its influence is fully transmitted through performance expectancy and facilitating conditions, while effort expectancy and social influence do not show significant effects. These findings indicate that motivation acts as a distal psychological condition whose impact depends on employees’ perceptions of performance gains and organizational support. By clarifying the cognitive pathways linking motivation to employees’ evaluations of technological change in mandatory-use public-sector contexts, this study advances research on digital transformation and employee-level dynamics in public organizations.

Public Administration Quarterly
Universidade da Amazônia (BR), Amazon Research Foundation (BR), Universidade Federal do Pará (BR)
Peace, Justice and strong institutions
Openalex Percentile: Top 6%
Technostress in Professional Settings
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.