| 1. |
- Henkel, Martin, et al.
(author)
-
Language technology for eGovernment - business cases
- 2014
-
In: New Perspectives in Information Systems and Technologies, Volume 1. - Cham : Springer. - 9783319059501 ; , s. 83-95, s. 83-95
-
Conference paper (peer-reviewed)abstract
- Language technologies and tools, such as text mining, information extraction, and question and answering systems, have been developed during many years. These technologies are becoming mature and should be ready for deployment in private and public organizations. However, little focus has been paid to how these technologies can be applied to tackle real-world problems within organizations. In this paper, we present a set of business cases where language technologies can have a significant impact on public organizations, including their business processes and services. We describe how each business case can influence the service quality, as seen from a consumer perspective, and the business processes efficiency, as seen from a public organizational perspective. The business cases are based on, and exemplified with, cases from large Swedish public organizations.
|
|
| 2. |
- Talantsev, Anton, et al.
(author)
-
Quantitative scenario-based assessment of contextual factors for ICT4D projects : design and implementation in a web based tool
- 2014
-
In: New perspectives in information systems and technologies, Volume 1. - Cham : Springer. - 9783319059501 - 9783319059518 ; , s. 477-490
-
Book chapter (peer-reviewed)abstract
- The success of a development intervention is primarily defined by its longer-term results. Information and Communication Technology for Development (ICT4D) projects are no exception. In particular, the external context in which such projects are to be deployed plays a crucial role for achieving better development results. Thus, an analysis of contextual factors is essential for decision-makers at the project proposal screening and evaluation. Guided by the results-based management framework, a tool for influence assessment of contextual factors is designed and presented in this paper. The tool comprises a suggested model for common ICT4D contextual factors and a complementing method for their assessment. The method employs a scenario- based judgments elicitation process for data extraction together with Monte- Carlo simulation for data processing and aggregation. While the tool is not intended for comprehensive and deep analysis, the underlying streamlined process along with the easy to interpret assessment results arguably ensure further wide adoption.
|
|
