Details
| Original language | English |
|---|---|
| Qualification | Doctor rerum politicarum |
| Awarding Institution | |
| Supervised by |
|
| Date of Award | 15 Nov 2018 |
| Place of Publication | Hannover |
| Publication status | Published - 2018 |
Abstract
Sustainable Development Goals
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Hannover, 2018. 79 p.
Research output: Thesis › Doctoral thesis
}
TY - BOOK
T1 - Contributions to decision support for wind energy, literature research processes and towards a better world through information systems
AU - Koukal, André
N1 - Doctoral thesis
PY - 2018
Y1 - 2018
N2 - Decision making is an important and complex challenge for companies, organizations and individuals. Making the right operational and strategic decisions at the right time has a big influence on a successful development and the survival in competition. To make the best possible decisions it is essential to have access to aggregated and processed information which are accurate, reliable and consistent. Decision support contributes to the decision-making process by preparing and providing relevant information. Decision support systems (DSS) further contribute to decision-making processes as they embed approaches into integrated systems which aim to provide fast and easy access to decision-relevant information. This cumulative dissertation is divided into three thematic chapters according to different research areas which are presented and discussed in the context of quantitative and qualitative decision support. The first thematic chapter focusses on decision support for the wind energy sector based on quantitative financial approaches. A DSS is constructed that addresses the needs of all project stakeholders for the assessment of corresponding projects. The system integration of renewable energies (RE) in general and of wind energy represents a fundamental challenge as the unsteady electricity generation introduces variability in the electrical system. Decision support is provided by introducing a modeling approach that can help to design support schemes which promote a spatially-diversified deployment through location-based investment incentives. The second thematic chapter revolves around the enhancement of the literature research processes which is an important sub-step of a complete literature review and part of many other scientific research methods. Decision support is provided by our Tool for Semantic Indexing and Similarity Queries (TSISQ) that allows a fast and simple identification of semantically similar research articles. The third thematic chapter deals with survey-based decision support. Qualitative and quantitative data was gathered with an explorative survey among leading IS researchers. The findings can contribute to decisions regarding the future alignment of the IS research domain. In summary, it is shown that decision support based on qualitative and quantitative data contributes to decision making by providing decision-relevant information. As data amounts will continue to growth in the future, the relevance of decision support will further increase.
AB - Decision making is an important and complex challenge for companies, organizations and individuals. Making the right operational and strategic decisions at the right time has a big influence on a successful development and the survival in competition. To make the best possible decisions it is essential to have access to aggregated and processed information which are accurate, reliable and consistent. Decision support contributes to the decision-making process by preparing and providing relevant information. Decision support systems (DSS) further contribute to decision-making processes as they embed approaches into integrated systems which aim to provide fast and easy access to decision-relevant information. This cumulative dissertation is divided into three thematic chapters according to different research areas which are presented and discussed in the context of quantitative and qualitative decision support. The first thematic chapter focusses on decision support for the wind energy sector based on quantitative financial approaches. A DSS is constructed that addresses the needs of all project stakeholders for the assessment of corresponding projects. The system integration of renewable energies (RE) in general and of wind energy represents a fundamental challenge as the unsteady electricity generation introduces variability in the electrical system. Decision support is provided by introducing a modeling approach that can help to design support schemes which promote a spatially-diversified deployment through location-based investment incentives. The second thematic chapter revolves around the enhancement of the literature research processes which is an important sub-step of a complete literature review and part of many other scientific research methods. Decision support is provided by our Tool for Semantic Indexing and Similarity Queries (TSISQ) that allows a fast and simple identification of semantically similar research articles. The third thematic chapter deals with survey-based decision support. Qualitative and quantitative data was gathered with an explorative survey among leading IS researchers. The findings can contribute to decisions regarding the future alignment of the IS research domain. In summary, it is shown that decision support based on qualitative and quantitative data contributes to decision making by providing decision-relevant information. As data amounts will continue to growth in the future, the relevance of decision support will further increase.
U2 - 10.15488/4150
DO - 10.15488/4150
M3 - Doctoral thesis
CY - Hannover
ER -