Organizational adoption of visual analytics hinges on more than just technology.
The decision for an organization to adopt visual analytics tools is influenced by a complex interplay of technological, organizational, and environmental factors, not solely the features of the technology itself.
Information Technology and People · 2018
Key Findings
- 0134 factors emerged as key predictors of visual analytics adoption.
- 02Adoption decisions are influenced by technological, organizational, and environmental factors.
- 03The diffusion of innovations theory and the technology–organization–environment framework are relevant to understanding adoption.
Application
Design takeaway
When designing or marketing visual analytics solutions, consider the broader organizational and environmental context, not just the technical capabilities of the tool.
How to apply
When evaluating a new visual analytics tool, assess not only its features but also your organization's current data infrastructure, employee skill sets, and competitive landscape.
Project actions
- 01When researching a new technology, look beyond its technical specifications to understand the broader context of its adoption.
- 02Consider how organizational culture and external market forces might impact the success of a new design or product.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Utilizes a large dataset of real-world user reviews.
- +Synthesizes findings into a conceptual framework.
- +Applies established theories of technology adoption.
Limitations
The findings are based on aggregated online reviews and may not reflect the specific circumstances of every organization.
Reliability & validity
Reliability is supported by the systematic content analysis of a large number of reviews. Validity is enhanced by grounding the framework in established adoption theories and identifying a broad range of factors.
Think critically
To what extent do the identified factors generalize across different industries and organizational sizes?
Design Principles
"Successful technology adoption requires a holistic approach that addresses technological fit, organizational preparedness, and environmental influences."
Understanding these multifaceted determinants is crucial for technology providers aiming to successfully introduce and market visual analytics solutions. It also guides organizations in assessing their readiness and identifying potential barriers to adoption, ensuring a more strategic and effective implementation.
What This Means for Your Design
For companies to start using new data analysis tools (visual analytics), it's not just about how good the tool is. It also depends on how ready the company is to use it, like if people know how to use it, and what's happening in the industry around them.
How to use in your project
- 1.Use this research to justify why considering organizational and environmental factors is important when proposing a new design solution.
- 2.Reference the study when discussing the potential barriers or enablers for the adoption of your designed product or system.
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Quick Cite
(2018). Determinants of visual analytics adoption in organizations. Information Technology and People. https://doi.org/10.1108/itp-10-2017-0359 Retrieved from https://designdex.org/study/01e29302-2eda-4698-ae1f-d22ef6a22e13/organizational-adoption-of-visual-analytics-hinges-on-more-than-just-technology
Paragraph starter
This research highlights that the successful adoption of new technologies, such as visual analytics platforms, is not solely determined by their technical merits. A comprehensive framework for adoption must also account for organizational factors, including existing infrastructure, employee capabilities, and management support, as well as environmental influences like market trends and competitive pressures. Therefore, any design proposal aiming for successful implementation must consider these broader contextual elements.
Source
Information Technology and People
Determinants of visual analytics adoption in organizations
journal · 2018
View sourceQuestions about this research
- What does the research say about organizational adoption of visual analytics hinges on more than just technology?
- When designing or marketing visual analytics solutions, consider the broader organizational and environmental context, not just the technical capabilities of the tool. Evidence: Information Technology and People (2018).
- Why does "Organizational adoption of visual analytics hinges on more than just technology." matter for design?
- Understanding these multifaceted determinants is crucial for technology providers aiming to successfully introduce and market visual analytics solutions. It also guides organizations in assessing their readiness and identifying potential barriers to adoption, ensuring a more strategic and effective implementation.
- How can designers apply this research?
- When designing or marketing visual analytics solutions, consider the broader organizational and environmental context, not just the technical capabilities of the tool.
- What were the main findings?
- 34 factors emerged as key predictors of visual analytics adoption.. Adoption decisions are influenced by technological, organizational, and environmental factors.. The diffusion of innovations theory and the technology–organization–environment framework are relevant to understanding adoption.
- What research method was used?
- Directed content analysis of online reviews with 1,320 reviews for six visual analytics platforms.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2018 journal from Information Technology and People.
- What should I do differently in my next project?
- When evaluating a new visual analytics tool, assess not only its features but also your organization's current data infrastructure, employee skill sets, and competitive landscape.
- What are the limitations?
- The study relies on online reviews, which may be subject to biases and may not capture all nuances of organizational decision-making.
- Is there evidence that visual analytics affects design outcomes?
- The study identified 34 factors that predict whether an organization will adopt visual analytics tools, highlighting that technological aspects alone are insufficient; organizational culture, resources, and external market pressures also play significant roles. Understanding these multifaceted determinants is crucial f Source: Information Technology and People (2018).
- Where does this analytics solutions research apply?
- Organizational adoption of data analytics technologies It sits within innovation & markets research on designdex.org.
Related research topics
visual analytics design research · evidence on visual analytics · does visual analytics improve design outcomes · analytics solutions studies for designers · visual analytics and analytics solutions findings · innovation & markets research evidence