Definition
The Technology-Organization-Environment (TOE) framework is an organization-level theory that explains how a firm decides to adopt a new technology. It holds that three contexts shape the decision: the technology itself, the organization’s own characteristics, and the external environment the organization operates in.
The framework was published in 1990 in The Processes of Technological Innovation, a book edited by Louis Tornatzky and Mitchell Fleischer. It’s usually cited as “Tornatzky and Fleischer (1990).” The chapter that actually sets out the framework, “The context for change: Organization, technology and environment,” was written by Rocco DePietro, Edith Wiarda and Mitchell Fleischer. Tornatzky and Fleischer were the volume’s editors.
The three contexts are:
- Technological context. The technologies relevant to the firm, including those already in use and those available in the market but not yet adopted.
- Organizational context. The firm’s characteristics and resources: its size, how centralized and formalized it is, its managerial structure, its people, its slack resources, and the links among employees.
- Environmental context. The setting outside the firm: the size and structure of its industry, its competitors, the macroeconomic climate and the regulatory environment.
TOE is a framework for firms, not for individual users. That’s the main thing that separates it from models such as the Technology Adoption Model.
See also: Technology Adoption Model (TAM), Diffusion of Innovations (DOI), Unified Theory of Acceptance and Use of Technology (UTAUT), PESTLE Analysis
Why it matters for marketing
Most marketing technology decisions are made by an organization, not a person. A CMO choosing a customer data platform is weighing more than whether the interface is easy to use. Does it integrate with the existing CRM? Does the team have an analyst who can run it? Are competitors already using one? Does a privacy law such as GDPR or CCPA constrain how it can be deployed?
Those questions map directly onto the three TOE contexts. The framework gives marketing leaders a way to organize them so that none gets skipped. Teams tend to over-examine the technology and under-examine the other two. A generative AI tool can score well on features and still stall because legal hasn’t approved it or because nobody has time to learn it.
TOE is also the framework academic researchers most often use to study organizational AI adoption. Marketers reading research on why companies do or don’t adopt AI will run into it regularly.
How it works
Each context contains factors that either push a firm toward adoption or hold it back. The original framework names the contexts. Later researchers have filled in specific factors, and these vary from study to study.
Technological context. Researchers commonly look at relative advantage over the current approach, compatibility with existing systems, and complexity. For a marketing team evaluating an AI content tool, the questions are whether it produces usable drafts faster than the current process and whether it connects to the content management system already in place.
Organizational context. Typical factors include top management support, firm size, available budget and staff time (slack resources), technical skills, and how well information moves between teams. A 12-person marketing department with no data analyst faces a different adoption decision than a 300-person one with a dedicated operations group.
Environmental context. Typical factors include competitive pressure, customer expectations, the availability of vendors and implementation partners, and regulation. If three direct competitors have launched AI-powered product recommendations, pressure to adopt rises regardless of internal readiness.
The framework doesn’t prescribe weights. It says all three contexts matter and leaves it to the user to determine which factors apply in a given case.
How to apply the TOE framework
TOE has no formula or score. It’s applied as a structured checklist. A common approach:
- Name the technology and the decision. For example: “Adopt an AI agent for first-line customer email responses in 2027.”
- List factors under each context. Aim for a handful per context that are specific to the decision.
- Rate each factor as an enabler or a barrier. Note the evidence.
- Identify the binding constraints. Look for the barriers that would block adoption even if everything else were favorable.
- Decide and plan. Proceed, delay or narrow the scope, and assign actions for each barrier.
An illustrative worksheet for that AI email agent decision:
| Context | Factor | Enabler or barrier | Note |
|---|---|---|---|
| Technology | Integration with help desk platform | Enabler | Native connector available |
| Technology | Accuracy on product-specific questions | Barrier | Needs a maintained knowledge base |
| Organization | Executive sponsorship | Enabler | CMO and COO both support |
| Organization | Staff time for review and training | Barrier | No capacity until Q2 |
| Environment | Competitor adoption | Enabler | Two of five main competitors have deployed |
| Environment | Disclosure and data regulation | Barrier | Legal review not yet started |
In this example the technology isn’t the problem. Two of the three barriers sit in the organizational and environmental contexts.
Common use cases
Martech purchase evaluation. Structure a business case for a new platform so it covers internal capacity and external pressures alongside features.
AI adoption planning. Sort the reasons an AI initiative is stalled into the three contexts to see where the real blockage is.
Post-mortems. Review a failed rollout to find which context was underestimated.
Market and customer research. B2B marketers selling technology use TOE to understand what drives or blocks adoption among their buyers.
Academic and industry research. TOE is a standard lens for survey-based studies of firm-level adoption. A 2023 meta-review counted more than 80 published empirical information systems studies using it.
Comparison with similar frameworks
| Framework | Level of analysis | Core question | Key factors |
|---|---|---|---|
| TOE Framework | Organization | What contexts shape a firm’s adoption decision? | Technological, organizational and environmental contexts |
| Technology Adoption Model (TAM) | Individual | Will a person accept and use the technology? | Perceived usefulness, perceived ease of use |
| UTAUT | Individual | What determines intention to use and actual use? | Performance expectancy, effort expectancy, social influence, facilitating conditions |
| Diffusion of Innovations (DOI) | Individual and organization | How does an innovation spread over time? | Relative advantage, compatibility, complexity, trialability, observability |
| Task-Technology Fit (TTF) | Individual and task | Does the technology match the task? | Task characteristics, technology characteristics |
| PESTLE Analysis | External environment | What macro forces affect the business? | Political, economic, social, technological, legal, environmental |
TOE and DOI are often used together. DOI supplies detailed technology attributes, and TOE adds the environmental context that DOI doesn’t treat explicitly. Jeff Baker’s 2012 review of the framework makes a related observation: TOE aligns closely with other adoption theories instead of competing with them, which is one reason it has seen little revision since 1990.
TOE and PESTLE overlap on external factors. The difference is purpose. PESTLE scans the macro environment for general strategy. TOE is specific to a technology adoption decision and gives equal attention to internal factors.
Best practices
Choose factors for the specific decision. TOE supplies three categories, not a fixed list. A set of factors borrowed from a cloud computing study won’t fit a decision about AI agents.
Give each context the same scrutiny. Vendor demos naturally fill in the technology column. The organizational and environmental columns need deliberate effort.
Pair it with an individual-level model. TOE can show that the firm is ready to adopt. It can’t show whether employees will use the tool. TAM or UTAUT covers that part.
Bring in people who know each context. IT can speak to compatibility, HR and operations to capacity, legal to regulation.
Record the evidence. Write down why a factor was rated as a barrier. The reasoning is useful when the decision is revisited.
Revisit when the environment shifts. A new regulation or a competitor’s launch can change the rating of several factors at once.
Don’t read it as a predictor. TOE organizes the factors. It doesn’t forecast whether adoption will succeed.
Future trends
AI adoption research is stretching the framework. A growing body of work applies TOE to organizational AI adoption and readiness. A 2026 systematic literature review examined how AI readiness is structured across the three TOE dimensions and how those dimensions depend on one another.
Proposals to add a human dimension. Some researchers argue that three contexts don’t capture how AI changes work for individuals. One proposal extends the model to TOEH, adding a “Human” context to cover skills, trust and acceptance.
More weight on the environmental context. Regulation written specifically for AI, including the EU AI Act, has made the regulatory part of the environmental context more consequential than it was for earlier technologies such as cloud software.
Combination with other theories. Recent studies combine TOE with dynamic capabilities theory and institutional theory to explain what happens after the adoption decision, not only the decision itself.
Attention to measurement gaps. The 2023 meta-review found that some of the framework’s original sub-categories, especially those relating to linking structures and communication, are rarely measured and that researchers frequently miscategorize factors.
Frequently asked questions
What does TOE stand for? Technology-Organization-Environment. The three words name the three contexts the framework says influence a firm’s technology adoption decisions.
Who created the TOE framework? It appeared in 1990 in The Processes of Technological Innovation, edited by Louis Tornatzky and Mitchell Fleischer. The chapter presenting the framework was written by Rocco DePietro, Edith Wiarda and Mitchell Fleischer.
What are the three contexts? The technological context covers the technologies available to the firm. The organizational context covers the firm’s size, structure and resources. The environmental context covers industry, competitors, the economy and regulation.
How is TOE different from TAM? TOE explains adoption decisions made by organizations. TAM explains whether individual users accept a technology. They answer different questions and are often used together.
Is the TOE framework still relevant for AI? Yes. It’s widely used in current research on organizational AI adoption, though some researchers have proposed extensions such as adding a human dimension.
Does TOE produce a score? Not on its own. The original framework is qualitative. Researchers who use it in surveys build their own scales for each factor and analyze them statistically.
What are the limitations of the TOE framework? It names categories without specifying which factors belong in each, so studies vary widely in what they measure. It doesn’t address individual behavior. And it describes influences on a decision without predicting outcomes.
Can a marketing team use TOE without a research background? Yes. Used as a three-column checklist of enablers and barriers, it works as a practical planning tool for any technology decision.
How does TOE relate to Diffusion of Innovations? The two are compatible. DOI’s technology attributes, such as relative advantage and complexity, are often used to fill in TOE’s technological context. TOE adds the environmental context.
Related terms
- Technology Adoption Model (TAM)
- Unified Theory of Acceptance and Use of Technology (UTAUT)
- Diffusion of Innovations (DOI)
- Task-Technology Fit (TTF)
- Perceived Usefulness (PU)
- Perceived Ease of Use (PEOU)
- Crossing the Chasm
- Absorptive Capacity
- PESTLE Analysis
- McKinsey 7S Framework
Sources
- TheorizeIt (IS Theory wiki). “Technology-organization-environment framework.” https://is.theorizeit.org/wiki/Technology-organization-environment_framework
- Baker, Jeff. “The Technology–Organization–Environment Framework.” In Information Systems Theory: Explaining and Predicting Our Digital Society, Vol. 1. Springer, 2012. https://doi.org/10.1007/978-1-4419-6108-2_12
- DePietro, Rocco, Edith Wiarda, and Mitchell Fleischer. “The context for change: Organization, technology and environment.” In Tornatzky, L. G., and M. Fleischer (eds.), The Processes of Technological Innovation. Lexington Books, 1990. (No public URL; cited via TheorizeIt above.)
- Thomas, Dominic, and Yurong Yao. “Technology-Organization-Environment Meta-Review and Construct Analysis: Insights for Future Research.” HICSS-56, 2023. https://aisel.aisnet.org/hicss-56/os/enterprise_systems/2
- “A Systematic Literature Review on Organizational Readiness.” International Journal of Advanced Computer Science and Applications, Vol. 17, No. 1, 2026. https://thesai.org/Downloads/Volume17No1/Paper_47-A_Systematic_Literature_Review_on_Organizational_Readiness.pdf
- “Understanding AI adoption at organizations: literature review of TOE framework.” Işık University repository. https://acikerisim.isikun.edu.tr/entities/publication/d1d7cd08-6b3e-4501-9d0d-dca08f3c039c/full
- “Dynamic Capabilities for AI-Enabled Exploration: Antecedents, Mechanisms, and Innovation Outcomes.” arXiv. https://arxiv.org/pdf/2607.02645
- Wikipedia. “Technology–organization–environment framework.” https://en.wikipedia.org/wiki/Technology%E2%80%93organization%E2%80%93environment_framework