Short answer

Prioritize designing mobile recommendation services that are not only functional but also provide an enjoyable and engaging user experience to encourage data sharing and customer cooperation.

Field
Innovation & Markets
Source
Journal of the Korean Society of Clothing and Textiles (2013)
Method
Quantitative Survey
Sample
400 participants
Evidence
Strong effect

Consumers are more willing to share personal information and cooperate with fashion retailers for mobile product recommendations when they perceive these services as both enjoyable (hedonic) and beneficial (useful). This innovation & markets research insight is drawn from a 2013 study published in Journal of the Korean Society of Clothing and Textiles. Using Quantitative survey with 400 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Prioritize designing mobile recommendation services that are not only functional but also provide an enjoyable and engaging user experience to encourage data sharing and customer cooperation.

Study
Innovation & MarketsHigh ImpactStrong effect

Hedonic and Useful Mobile Recommendations Increase Consumer Data Sharing in Fashion Retail

Consumers are more willing to share personal information and cooperate with fashion retailers for mobile product recommendations when they perceive these services as both enjoyable (hedonic) and beneficial (useful).

Journal of the Korean Society of Clothing and Textiles · 2013

01

Key Findings

  • 01Perceived usefulness of mobile recommendation services positively influences willingness to provide information and cooperation intention.
  • 02Perceived hedonic value of mobile recommendation services positively influences willingness to provide information and cooperation intention.
  • 03The impact of usefulness and hedonic perception on willingness to provide information and cooperation intention is moderated by epistemic curiosity and information control levels.
02

Application

Design takeaway

Prioritize designing mobile recommendation services that are not only functional but also provide an enjoyable and engaging user experience to encourage data sharing and customer cooperation.

How to apply

When developing or refining mobile product recommendation features, ensure they offer clear benefits (e.g., saving time, finding better products) and a delightful user interface that makes the discovery process enjoyable.

Project actions

  • 01Consider how to measure both the 'fun' and 'helpful' aspects of your design.
  • 02Think about how users might feel about sharing their data and design for trust.
03

Method & Evidence

AimTo investigate how perceived usefulness and hedonic value of location-context based mobile product recommendation services influence consumers' willingness to provide information and cooperate with fashion stores, and how consumer curiosity and perceived information control moderate these relationships.
MethodQuantitative Survey
ProcedureA survey was administered to smartphone users to assess their perceptions of mobile fashion recommendation services, including usefulness, hedonic value, beliefs about marketer information practices, epistemic curiosity, and information control. Their willingness to provide personal information and cooperate with marketers was also measured.
Sample400 participants
ContextFashion retail, mobile commerce, personalized marketing

Variables

IV["Perceived usefulness of mobile product recommendation services","Perceived hedonic value of mobile product recommendation services"]
DV["Willingness to provide information","Cooperation intention"]
CV["Beliefs regarding marketer's information practices","Epistemic curiosity","Information control level"]
04

Strengths & Limitations

Strengths

  • +Investigates multiple influencing factors and moderating variables.
  • +Uses a substantial sample size for quantitative analysis.

Limitations

Self-reported data can be biased. The study's focus on fashion might not generalize to all product categories.

Reliability & validity

The study's reliability would depend on the consistency of survey responses, and its validity would be assessed by how well the measures capture the intended constructs (usefulness, hedonic value, willingness to share).

Think critically

How might the balance between perceived usefulness and hedonic value differ across different age groups or technological proficiencies when it comes to sharing personal data for recommendations?

05

Design Principles

"The perceived hedonic and utilitarian value of a service directly correlates with user willingness to engage and share data."

Understanding consumer motivations for data sharing is crucial for developing effective personalized marketing strategies. By focusing on the experiential and practical value of recommendation services, fashion brands can build trust and encourage deeper engagement, leading to more successful product introductions and sales.

06

What This Means for Your Design

If you make a fashion app that helps people find clothes they like and is also fun to use, they'll be more likely to give you their information and work with you.

How to use in your project

  • 1.Use this research to justify why focusing on user experience and perceived value is important for your design project's success, especially if it involves data collection or personalization.
07

Add to My Project

08

Quick Cite

Paragraph starter

This study by Lee and Moon (2013) highlights that consumers' willingness to provide personal information and cooperate with fashion retailers for mobile recommendations is significantly influenced by the perceived usefulness and hedonic value of the service. This suggests that for any design project involving personalized digital services, prioritizing both functional benefits and an engaging user experience is critical for fostering user trust and encouraging data sharing.

09

Source

Journal of the Korean Society of Clothing and Textiles

Consumers' Willingness to Provide Information and Cooperation Intention in the Use of Mobile Product Recommendation Services for Fashion Stores

journal · 2013

View source

Questions About This Research

What does the research say about hedonic and useful mobile recommendations increase consumer data sharing in fashion retail?
Prioritize designing mobile recommendation services that are not only functional but also provide an enjoyable and engaging user experience to encourage data sharing and customer cooperation. Evidence: Journal of the Korean Society of Clothing and Textiles (2013).
Why does "Hedonic and Useful Mobile Recommendations Increase Consumer Data Sharing in Fashion Retail" matter for design?
Understanding consumer motivations for data sharing is crucial for developing effective personalized marketing strategies. By focusing on the experiential and practical value of recommendation services, fashion brands can build trust and encourage deeper engagement, leading to more successful product introductions and sales.
How can designers apply this research?
Prioritize designing mobile recommendation services that are not only functional but also provide an enjoyable and engaging user experience to encourage data sharing and customer cooperation.
What were the main findings?
Perceived usefulness of mobile recommendation services positively influences willingness to provide information and cooperation intention.. Perceived hedonic value of mobile recommendation services positively influences willingness to provide information and cooperation intention.. The impact of usefulness and hedonic perception on willingness to provide information and cooperation intention is moderated by epistemic curiosity and information control levels.
What research method was used?
Quantitative Survey with 400 participants.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2013 journal from Journal of the Korean Society of Clothing and Textiles.
What should I do differently in my next project?
When developing or refining mobile product recommendation features, ensure they offer clear benefits (e.g., saving time, finding better products) and a delightful user interface that makes the discovery process enjoyable.
What are the limitations?
The study relies on self-reported data, and the findings may be specific to the fashion retail context and the cultural background of the participants.