Short answer

When designing mandatory digital services for a professional user base, invest heavily in ensuring the accuracy, relevance, and utility of the information presented, and maintain system stability, as these factors are more critical for user satisfaction and adoption than the level of customer support.

Field
Innovation & Markets
Source
Jurnal Sisfokom (2026)
Method
Quantitative Survey and Structural Equation Modeling
Sample
250 participants
Evidence
Strong effect

For mandatory government applications, users prioritize accurate and useful information over technical support, with system stability and data integrity being key drivers of satisfaction and continued use. This innovation & markets research insight is drawn from a 2026 study published in Jurnal Sisfokom. Using Quantitative survey and structural equation modeling with 250 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing mandatory digital services for a professional user base, invest heavily in ensuring the accuracy, relevance, and utility of the information presented, and maintain system stability, as these factors are more critical for user satisfaction and adoption than the level of customer support.

Study
Innovation & MarketsNew This WeekStrong effect

Information Quality Drives Civil Servant App Adoption, Not Service Support

For mandatory government applications, users prioritize accurate and useful information over technical support, with system stability and data integrity being key drivers of satisfaction and continued use.

Jurnal Sisfokom · 2026

01

Key Findings

  • 01Service quality did not significantly impact user perceptions of the MyASN application.
  • 02System quality significantly enhanced perceived ease of use and perceived usefulness but did not significantly influence user satisfaction.
  • 03Information quality strongly drove perceived usefulness and user satisfaction, and did not affect ease of use.
  • 04User satisfaction was the strongest predictor of the intention to continue using the application, which in turn directly drove actual system use.
02

Application

Design takeaway

When designing mandatory digital services for a professional user base, invest heavily in ensuring the accuracy, relevance, and utility of the information presented, and maintain system stability, as these factors are more critical for user satisfaction and adoption than the level of customer support.

How to apply

When developing or evaluating mandatory government or enterprise software, conduct thorough user research focusing on information needs and system reliability. Prototype and test information delivery mechanisms rigorously, and ensure data integrity is a top priority throughout the development lifecycle.

Project actions

  • 01When researching user needs for a mandatory system, ask specific questions about the accuracy and usefulness of information, not just about ease of use or support.
  • 02Consider how to measure 'information quality' in your own design project, perhaps through data accuracy checks or user surveys on information relevance.
03

Method & Evidence

AimTo investigate the factors influencing the acceptance and use of a mandatory government mobile application by civil servants, integrating the Technology Acceptance Model (TAM) and the Information Systems Success Model.
MethodQuantitative Survey and Structural Equation Modeling
ProcedureA quantitative survey was administered to 250 civil servants. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess the relationships between system quality, information quality, service quality, perceived ease of use, perceived usefulness, user satisfaction, and intention to continue use.
Sample250 participants
ContextGovernmental digital services for civil servants

Variables

IV["System Quality","Information Quality","Service Quality"]
DV["Perceived Ease of Use","Perceived Usefulness","User Satisfaction","Intention to Continue Use","Actual System Use"]
CV["Demographics of civil servants","Specific context of South Central Timor Regency"]
04

Strengths & Limitations

Strengths

  • +Integration of two established theoretical models (TAM and IS Success Model).
  • +Use of robust statistical analysis (PLS-SEM).
  • +Focus on a specific, practical application context (government mobile app).

Limitations

A real-world replication might be limited by access to users of mandatory systems and the ability to measure 'information quality' objectively.

Reliability & validity

The study used PLS-SEM, a method suitable for complex models, and a sample size of 250, which generally supports reliability. Validity would depend on the precise measurement instruments used for each construct.

Think critically

How might the 'mandatory' nature of the application influence user priorities compared to a system chosen voluntarily?

05

Design Principles

"For mandatory digital services, prioritize Information Quality and System Quality over Service Quality to drive user satisfaction and sustained adoption."

This insight challenges traditional assumptions about user support being paramount in system adoption. It suggests that for essential, non-optional digital services, the core value proposition lies in the reliability and utility of the information provided, directly impacting user satisfaction and long-term engagement.

06

What This Means for Your Design

For apps that people *have* to use for work, like government apps, what matters most is that the information inside is correct and useful, and that the app works reliably. Good customer service is less important than having good data and a stable system.

How to use in your project

  • 1.Reference this study when discussing the importance of information quality and system stability in your design rationale, especially if your project involves a mandatory or professional user group.
07

Add to My Project

08

Quick Cite

Paragraph starter

Research indicates that for mandatory digital services, such as government applications, user adoption and satisfaction are primarily driven by the quality and usefulness of the information provided, alongside system stability, rather than the perceived quality of technical support. This suggests a design focus on data integrity and core functionality for such systems.

09

Source

Jurnal Sisfokom

Acceptance and Use of the MyASN Application Among Civil Servants: An Integration of TAM and IS Success Model in South Central Timor Regency

journal · 2026

View source

Questions About This Research

What does the research say about information quality drives civil servant app adoption, not service support?
When designing mandatory digital services for a professional user base, invest heavily in ensuring the accuracy, relevance, and utility of the information presented, and maintain system stability, as these factors are more critical for user satisfaction and adoption than the level of customer support. Evidence: Jurnal Sisfokom (2026).
Why does "Information Quality Drives Civil Servant App Adoption, Not Service Support" matter for design?
This insight challenges traditional assumptions about user support being paramount in system adoption. It suggests that for essential, non-optional digital services, the core value proposition lies in the reliability and utility of the information provided, directly impacting user satisfaction and long-term engagement.
How can designers apply this research?
When designing mandatory digital services for a professional user base, invest heavily in ensuring the accuracy, relevance, and utility of the information presented, and maintain system stability, as these factors are more critical for user satisfaction and adoption than the level of customer support.
What were the main findings?
Service quality did not significantly impact user perceptions of the MyASN application.. System quality significantly enhanced perceived ease of use and perceived usefulness but did not significantly influence user satisfaction.. Information quality strongly drove perceived usefulness and user satisfaction, and did not affect ease of use.. User satisfaction was the strongest predictor of the intention to continue using the application, which in turn directly drove actual system use.
What research method was used?
Quantitative Survey and Structural Equation Modeling with 250 participants.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2026 journal from Jurnal Sisfokom.
What should I do differently in my next project?
When developing or evaluating mandatory government or enterprise software, conduct thorough user research focusing on information needs and system reliability. Prototype and test information delivery mechanisms rigorously, and ensure data integrity is a top priority throughout the development lifecycle.
What are the limitations?
The study was conducted in a specific regional context (South Central Timor Regency), and findings may not be generalizable to all civil servant populations or all types of government applications. The focus was on a single application, MyASN.