Short answer
Focus on clearly articulating and proving the 'why' behind a new technology, ensuring it aligns with existing systems and business goals, and securing strong leadership endorsement.
- Field
- Innovation & Design
- Source
- International Journal of Data and Network Science (2024)
- Method
- Quantitative research using Structural Equation Modeling (SEM)
- Sample
- 388 participants
- Evidence
- Strong effect
SMEs are more likely to adopt Big Data Analytics when they perceive its usefulness, which is influenced by factors like competitive pressure, top management support, and the technology's compatibility and relative advantage. This innovation & design research insight is drawn from a 2024 study published in International Journal of Data and Network Science. Using Quantitative research using structural equation modeling (sem) with 388 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Focus on clearly articulating and proving the 'why' behind a new technology, ensuring it aligns with existing systems and business goals, and securing strong leadership endorsement.
Perceived Usefulness Drives Big Data Analytics Adoption in SMEs
SMEs are more likely to adopt Big Data Analytics when they perceive its usefulness, which is influenced by factors like competitive pressure, top management support, and the technology's compatibility and relative advantage.
International Journal of Data and Network Science · 2024
Key Findings
- 01Relative advantage, compatibility, complexity, top management support, competitive pressure, and security significantly influence perceived usefulness.
- 02Perceived usefulness has a positive impact on the adoption of Big Data Analytics.
Application
Design takeaway
Focus on clearly articulating and proving the 'why' behind a new technology, ensuring it aligns with existing systems and business goals, and securing strong leadership endorsement.
How to apply
When introducing a new analytical tool or technology to an organization, conduct a pre-assessment of perceived usefulness by highlighting its relative advantages, compatibility with existing workflows, and the competitive pressures driving its need.
Project actions
- 01When researching a new technology for a design project, consider how users will perceive its usefulness.
- 02Investigate the organizational and environmental factors that might support or hinder the adoption of your proposed design.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Utilizes a robust theoretical framework (TOE + DOI).
- +Employs advanced statistical methods (SEM) for analysis.
Limitations
The study relies on self-reported data, which can be subject to bias. The specific cultural and economic context of Jordan might limit direct applicability elsewhere.
Reliability & validity
The use of SEM and a validated framework suggests good internal validity. Reliability would depend on the consistency of responses and the psychometric properties of the survey instruments used.
Think critically
To what extent do the specific cultural and economic conditions of Jordan influence the identified drivers of BDA adoption, and how might these drivers differ in more developed or differently structured economies?
Design Principles
"Technology adoption is facilitated by perceived value, compatibility, and supportive organizational and environmental factors."
Understanding the drivers of technology adoption is crucial for designing effective implementation strategies. This insight helps organizations focus on communicating and demonstrating the tangible benefits of new technologies to encourage uptake.
What This Means for Your Design
Companies are more likely to use new data tools if they think those tools will help them, are easy to use, and if their bosses and competitors are also using them.
How to use in your project
- 1.Reference this study when discussing the factors influencing the adoption of a new technology in your design project, particularly focusing on perceived usefulness and its antecedents.
Add to My Project
Quick Cite
Paragraph starter
This research indicates that the successful adoption of new technologies, such as Big Data Analytics in SMEs, is significantly mediated by perceived usefulness. Factors like relative advantage, compatibility, and top management support are critical in shaping this perception, ultimately influencing whether a technology is embraced within an organization.
Source
International Journal of Data and Network Science
The adoption of big data analytics in Jordanian SMEs: An extended technology organization environment framework with diffusion of innovation and perceived usefulness
journal · 2024
View sourceQuestions About This Research
- What does the research say about perceived usefulness drives big data analytics adoption in smes?
- Focus on clearly articulating and proving the 'why' behind a new technology, ensuring it aligns with existing systems and business goals, and securing strong leadership endorsement. Evidence: International Journal of Data and Network Science (2024).
- Why does "Perceived Usefulness Drives Big Data Analytics Adoption in SMEs" matter for design?
- Understanding the drivers of technology adoption is crucial for designing effective implementation strategies. This insight helps organizations focus on communicating and demonstrating the tangible benefits of new technologies to encourage uptake.
- How can designers apply this research?
- Focus on clearly articulating and proving the 'why' behind a new technology, ensuring it aligns with existing systems and business goals, and securing strong leadership endorsement.
- What were the main findings?
- Relative advantage, compatibility, complexity, top management support, competitive pressure, and security significantly influence perceived usefulness.. Perceived usefulness has a positive impact on the adoption of Big Data Analytics.
- What research method was used?
- Quantitative research using Structural Equation Modeling (SEM) with 388 participants.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2024 journal from International Journal of Data and Network Science.
- What should I do differently in my next project?
- When introducing a new analytical tool or technology to an organization, conduct a pre-assessment of perceived usefulness by highlighting its relative advantages, compatibility with existing workflows, and the competitive pressures driving its need.
- What are the limitations?
- The findings are specific to the Jordanian SME context and may not be directly generalizable to all regions or types of businesses.