Name
Title | ||
|---|---|---|
Using enterprise architecture and technology adoption models to predict application usage |
Abstract | ||
|---|---|---|
Application usage is an important parameter to consider in application portfolio management. This paper presents an enterprise architecture analysis framework which can be used to assess application usage. The framework, in the form of an architecture metamodel, incorporates variables from the previously published Technology Acceptance Model (TAM) and the Task-Technology Fit (TTF) model. The paper describes how the metamodel has been tailored for a specific domain, viz. industry maintenance management. The metamodel was tested in the maintenance management domain through a survey with 55 respondents at five companies. Data collected in the survey showed that the domain-specific metamodel is able to explain variations in maintenance management application usage. Integrating the TAM and TTF variables with an architecture metamodel allows architects to reuse research results smoothly, thereby aiding them in producing good application portfolio decision-support. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.jss.2012.02.035 | Journal of Systems and Software |
Keywords | Field | DocType |
domain-specific metamodel,ttf variable,maintenance management domain,industry maintenance management,maintenance management application usage,architecture metamodel,application usage,enterprise architecture analysis framework,application portfolio management,technology adoption model,good application portfolio decision-support,software engineering,metamodel,computerized maintenance management systems,enterprise architecture | Enterprise architecture,Application portfolio management,Systems engineering,Software engineering,Model-driven architecture,Computer science,Technology acceptance model,Enterprise architecture framework,Computerized maintenance management system,Metamodeling,Enterprise architecture management | Journal |
Volume | Issue | ISSN |
85 | 8 | 0164-1212 |
Citations | PageRank | References |
10 | 0.50 | 50 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Per Närman | 1 | 300 | 16.08 |
| Hannes Holm | 2 | 191 | 14.59 |
| David Höök | 3 | 54 | 2.88 |
| Nicholas Honeth | 4 | 24 | 2.58 |
| Pontus Johnson | 5 | 788 | 55.88 |