Short answer

Prioritize building and clearly communicating trust signals within the user experience of digital sharing economy platforms.

Field
User-Centred Design
Source
Future Business Journal (2026)
Method
Quantitative Survey and Structural Equation Modeling
Sample
387 participants
Evidence
Strong effect

Consumers' willingness to participate in the digital sharing economy is directly influenced by their trust in online platforms and service providers. This user-centred design research insight is drawn from a 2026 study published in Future Business Journal. Using Quantitative survey and structural equation modeling with 387 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Prioritize building and clearly communicating trust signals within the user experience of digital sharing economy platforms.

Study
User-Centred DesignNew This WeekStrong effect

Digital Trust is Key to Sharing Economy Adoption

Consumers' willingness to participate in the digital sharing economy is directly influenced by their trust in online platforms and service providers.

Future Business Journal · 2026

01

Key Findings

  • 01Structural assurance, competence, benevolence, integrity, and familiarity significantly shape consumers' trust in sharing economy platforms and service providers.
  • 02Higher trust in platforms and service providers leads to a greater intention to engage in digital sharing economy services.
  • 03Digital trust varies across different age and gender groups.
02

Application

Design takeaway

Prioritize building and clearly communicating trust signals within the user experience of digital sharing economy platforms.

How to apply

When designing a new sharing economy platform or service, explicitly map out how each feature and interaction point will contribute to building user trust.

Project actions

  • 01When researching user needs for a digital product, include questions about perceived risk and trust.
  • 02Consider how your design choices can actively build or erode user trust.
03

Method & Evidence

AimWhat factors influence consumers’ digital trust in sharing economy platforms and service providers, and how does this trust affect their intention to participate in digital sharing economy services?
MethodQuantitative Survey and Structural Equation Modeling
ProcedureA conceptual model of digital trust was developed based on literature. Survey data were collected from participants and analyzed using PLS-SEM to determine the relationships between factors influencing trust and the intention to participate in the sharing economy.
Sample387 participants
ContextDigital Sharing Economy Platforms (e.g., accommodation, car rentals)

Variables

IV["Structural assurance","Competence","Benevolence","Integrity","Familiarity"]
DV["Digital trust in platforms","Digital trust in service providers","Intention to participate in digital sharing economy services"]
CV["Age","Gender"]
04

Strengths & Limitations

Strengths

  • +Utilizes a robust statistical method (PLS-SEM) for analyzing complex relationships.
  • +Develops and tests a comprehensive conceptual model of digital trust.

Limitations

The specific factors that build trust can vary significantly depending on the cultural context and the type of sharing service.

Reliability & validity

The study's reliability would be supported by consistent survey responses and the validity by the PLS-SEM analysis confirming the hypothesized relationships between constructs.

Think critically

How might a platform design intentionally manipulate perceived trust for commercial gain, and what are the ethical implications of such strategies?

05

Design Principles

"User trust is a fundamental prerequisite for adoption and sustained engagement in digital service environments."

Understanding the drivers of digital trust is crucial for designing and marketing sharing economy services. Platforms that prioritize building trust can foster greater user adoption and loyalty.

06

What This Means for Your Design

People will only use sharing economy apps (like for renting a car or room) if they trust the app and the person they are dealing with. Things like knowing the app is secure, the provider is honest and capable, and that you've used it before all make you trust it more, and trust makes you more likely to use it.

How to use in your project

  • 1.Reference this study when discussing the importance of user trust in your design project, particularly if it involves a platform or service facilitating peer-to-peer interactions.
07

Add to My Project

08

Quick Cite

Paragraph starter

This research underscores the critical role of digital trust in the success of sharing economy platforms. Factors such as structural assurance, provider competence, benevolence, integrity, and user familiarity were found to be significant predictors of consumer trust, which in turn directly influences their intention to participate. Therefore, any design project aiming to facilitate peer-to-peer transactions must prioritize the development and clear communication of these trust-building elements to ensure user adoption and engagement.

09

Source

Future Business Journal

Empirical analysis to investigate the relationship between digital sharing economy and digital trust

journal · 2026

View source

Questions About This Research

What does the research say about digital trust is key to sharing economy adoption?
Prioritize building and clearly communicating trust signals within the user experience of digital sharing economy platforms. Evidence: Future Business Journal (2026).
Why does "Digital Trust is Key to Sharing Economy Adoption" matter for design?
Understanding the drivers of digital trust is crucial for designing and marketing sharing economy services. Platforms that prioritize building trust can foster greater user adoption and loyalty.
How can designers apply this research?
Prioritize building and clearly communicating trust signals within the user experience of digital sharing economy platforms.
What were the main findings?
Structural assurance, competence, benevolence, integrity, and familiarity significantly shape consumers' trust in sharing economy platforms and service providers.. Higher trust in platforms and service providers leads to a greater intention to engage in digital sharing economy services.. Digital trust varies across different age and gender groups.
What research method was used?
Quantitative Survey and Structural Equation Modeling with 387 participants.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2026 journal from Future Business Journal.
What should I do differently in my next project?
When designing a new sharing economy platform or service, explicitly map out how each feature and interaction point will contribute to building user trust.
What are the limitations?
The study was conducted in Saudi Arabia, and findings may not be universally generalizable. The study did not explore the impact of negative experiences on trust.