Short answer

Designers and marketers should segment audiences not just by demographics but also by psychographics, tailoring product features and communication strategies to resonate with specific personality profiles to drive technology adoption.

Field
Innovation & Markets
Source
Industrial Management & Data Systems (2009)
Method
Quantitative research using structural equation modelling.
Sample
470 participants
Evidence
Strong effect

User personality traits, such as innovativeness, compatibility, and affinity with technology, directly and positively influence the intention to adopt mobile shopping, suggesting that adoption is not solely driven by perceived usefulness and ease of use. This innovation & markets research insight is drawn from a 2009 study published in Industrial Management & Data Systems. Using Quantitative research using structural equation modelling. with 470 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers and marketers should segment audiences not just by demographics but also by psychographics, tailoring product features and communication strategies to resonate with specific personality profiles to drive technology adoption.

Study
Innovation & MarketsHigh ImpactStrong effect

Personality traits significantly boost mobile shopping adoption intentions, challenging purely rational adoption models.

User personality traits, such as innovativeness, compatibility, and affinity with technology, directly and positively influence the intention to adopt mobile shopping, suggesting that adoption is not solely driven by perceived usefulness and ease of use.

Industrial Management & Data Systems · 2009

01

Key Findings

  • 01Personality variables (affinity, compatibility, innovativeness) have a direct and positive influence on the intention to engage in M-shopping.
  • 02The effect of perceived usefulness and ease of use on intention is overestimated when personality variables are omitted, presenting a less rational view of adoption.
  • 03Complementary use of mobile and internet may favour distance shopping system acceptance.
02

Application

Design takeaway

Designers and marketers should segment audiences not just by demographics but also by psychographics, tailoring product features and communication strategies to resonate with specific personality profiles to drive technology adoption.

How to apply

When developing a new mobile application or service, conduct user research that includes psychographic profiling to understand how personality traits might influence adoption. Tailor marketing messages and user interface elements to appeal to these identified traits.

Project actions

  • 01When researching user adoption, consider including personality assessments or questions about user attitudes towards technology.
  • 02Analyze how different personality types might interact with your design, not just how they use it.
03

Method & Evidence

AimTo evaluate how individual personality variables (innovativeness, compatibility, affinity) modify the influence of technology acceptance model (TAM) variables on the intention to adopt mobile shopping.
MethodQuantitative research using structural equation modelling.
ProcedureA survey was administered to mobile telephone users to collect data on their innovativeness, compatibility, affinity, perceived ease of use, perceived usefulness, attitude towards mobile shopping, and intention to adopt mobile shopping. Structural equation modelling was then used to analyze the relationships between these variables.
Sample470 participants
ContextMobile commerce adoption

Variables

IV["Innovativeness","Compatibility","Affinity","Perceived Usefulness","Perceived Ease of Use","Attitude"]
DV["Behavioural Adoption Intention of Mobile Shopping"]
CV["Mobile telephone users","Spanish context"]
04

Strengths & Limitations

Strengths

  • +Utilizes advanced statistical techniques (SEM) to model complex relationships.
  • +Identifies significant personality influences that are often overlooked in traditional adoption models.

Limitations

It can be challenging to accurately measure personality traits in a design project context, and the sample size might be too small for robust statistical analysis.

Reliability & validity

The use of structural equation modelling provides a robust framework for assessing the reliability and validity of the proposed relationships between variables. However, the reliance on self-reported data for personality and intention may introduce social desirability bias.

Think critically

To what extent can personality traits be reliably measured and leveraged in a practical design project without resorting to complex psychological assessments?

05

Design Principles

"Technology adoption is a complex interplay of perceived utility, usability, and individual psychological predispositions."

Understanding the psychological drivers behind technology adoption is crucial for designing effective market entry and communication strategies. Ignoring personality factors can lead to an overestimation of the rational decision-making process, potentially misdirecting marketing efforts.

06

What This Means for Your Design

People's personalities, like how adventurous they are with new tech or how much they like their phones, actually make them more likely to try mobile shopping. It's not just about whether the app is easy or useful.

How to use in your project

  • 1.Use findings on personality drivers to justify design choices aimed at specific user segments in your design project.
07

Add to My Project

08

Quick Cite

Paragraph starter

This research highlights that user personality traits, such as innovativeness and affinity for technology, significantly influence adoption intentions for new services like mobile shopping. This suggests that design and marketing efforts should consider psychographic segmentation to effectively encourage uptake, as purely rational factors like perceived usefulness and ease of use do not fully explain user behaviour.

09

Source

Industrial Management & Data Systems

Exploring individual personality factors as drivers of M‐shopping acceptance

journal · 2009

View source

Questions About This Research

What does the research say about personality traits significantly boost mobile shopping adoption intentions, challenging purely rational adoption models?
Designers and marketers should segment audiences not just by demographics but also by psychographics, tailoring product features and communication strategies to resonate with specific personality profiles to drive technology adoption. Evidence: Industrial Management & Data Systems (2009).
Why does "Personality traits significantly boost mobile shopping adoption intentions, challenging purely rational adoption models." matter for design?
Understanding the psychological drivers behind technology adoption is crucial for designing effective market entry and communication strategies. Ignoring personality factors can lead to an overestimation of the rational decision-making process, potentially misdirecting marketing efforts.
How can designers apply this research?
Designers and marketers should segment audiences not just by demographics but also by psychographics, tailoring product features and communication strategies to resonate with specific personality profiles to drive technology adoption.
What were the main findings?
Personality variables (affinity, compatibility, innovativeness) have a direct and positive influence on the intention to engage in M-shopping.. The effect of perceived usefulness and ease of use on intention is overestimated when personality variables are omitted, presenting a less rational view of adoption.. Complementary use of mobile and internet may favour distance shopping system acceptance.
What research method was used?
Quantitative research using structural equation modelling. with 470 participants.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2009 journal from Industrial Management & Data Systems.
What should I do differently in my next project?
When developing a new mobile application or service, conduct user research that includes psychographic profiling to understand how personality traits might influence adoption. Tailor marketing messages and user interface elements to appeal to these identified traits.
What are the limitations?
The study used a convenience sample, which may limit the generalizability of the findings. The focus was on Spanish mobile telephone users, potentially introducing cultural or regional biases.