Bibliographische Detailangaben
| Titel: |
Standardization of Forms in Governments: A Meta-Model for a Reference Form Modeling Language. |
| Autoren: |
Scholta, Hendrik, Balta, Dian, Räckers, Michael, Becker, Jörg, Krcmar, Helmut |
| Quelle: |
Business & Information Systems Engineering; Dec2020, Vol. 62 Issue 6, p535-560, 26p |
| Abstract: |
Forms are central interfaces for information exchange between a government and its citizens. As a way to translate laws into practice, forms are an essential part facilitating this exchange. Unfortunately, forms often require substantial development effort to ensure they comply with legal requirements, with the result that citizens often describe them as highly complex. Standardization of forms through reference modeling would help to minimize governments' effort by reusing elements and would reduce complexity for citizens by providing a unified representation of information. The article contributes a meta-model for a modeling language that can be used in representing reference models for forms. It follows a design science research approach to elicit form structure and editorial process requirements and to iteratively design the meta-model. The paper demonstrates and evaluates the meta-model using focus groups and application in three case studies. It extends research on standardization to reference modeling and government forms. [ABSTRACT FROM AUTHOR] |
|
Copyright of Business & Information Systems Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Datenbank: |
Complementary Index |