Name
Title | ||
|---|---|---|
An empirical examination of application frameworks success based on technology acceptance model |
Abstract | ||
|---|---|---|
Framework-based development is currently regarded as one of the most promising software development approaches when it comes to improvements in lead time, productivity and quality. However, many frameworks and projects based on frameworks still report failures, which indicate that there are problems related to both frameworks technology and frameworks usage. The objective of our research was to examine the major drivers that have an impact on a framework's acceptance and a framework's success. We used the technology acceptance model (TAM) and Seddon's information systems success model as our underlying theory. Data collected from an online survey of 389 active framework users was used to test hypothesized models. Data analysis was performed via structural equation modeling. Our findings support the post-adoption version of TAM and the relationship between continuous use and the successful use of systems, where more use also means more net benefits. We found that the successful use of frameworks is mainly dependent on two factors: continuous framework usage intention and the perceived usefulness of the framework. Several practical and theoretical implications can be foreseen including advances in framework development guidelines and insight into the relationship between the acceptance and success of frameworks. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.jss.2009.10.036 | Journal of Systems and Software |
Keywords | Field | DocType |
structural equation models,survey,promising software development,continuous framework usage intention,information systems success model,successful use,frameworks usage,technology acceptance model,empirical examination,post adoption behavior,frameworks technology,continuous use,information system success,active framework user,application frameworks,framework development guideline,framework-based development,application frameworks success,data analysis,data collection,structural equation model,software development | Information system,Systems engineering,Structural equation modeling,Computer science,Technology acceptance model,Lead time,Software development | Journal |
Volume | Issue | ISSN |
83 | 4 | The Journal of Systems & Software |
Citations | PageRank | References |
17 | 0.59 | 29 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gregor Polančič | 1 | 68 | 9.35 |
| Marjan Heričko | 2 | 129 | 13.21 |
| Ivan Rozman | 3 | 414 | 122.20 |