Gatziu Grivas, Stella
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Gatziu Grivas
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Gatziu Grivas, Stella
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- PublikationPlatform-based strategic consulting for digital transformation(2022) Gatziu Grivas, Stella; Giovanoli, Claudio; Grasshoff, Gunnar; Imhof, Denis; Hinkelmann, Knut; Gerber, Aurona [in: Proceedings of the Society 5.0 Conference 2022 - Integrating digital world and real world to resolve challenges in business and society]The digital age poses manifold challenges and difficult conditions for all sizes of organizations in all industries. Organizations need to adapt to complex challenges and difficult conditions and to plan and execute their digital transformation strategies. More and more organizations need support by strategic business consulting companies which must be offered in an effective and efficient way so that also small and medium sized companies can profit from it to stay competitive. Our research work focusses on the development of online strategic consulting tools offered as self-services on a web-based platform supporting the definition of digital transformation strategy. The so-called Digital Backpack Assessment (DBA) measures the digital maturity and proposes possible cases for changes. The tool follows the following principles: (1) A holistic approach with focus on the customer orientation, the business models, the organizational excellence, and the operational excellence. (2) An open strategy approach where several stakeholders from the company participate04B - Beitrag Konferenzschrift
- PublikationCloud advisor bot: towards a chatbot to enable efficient cloud assessments(IEEE, 2021) Hofer, Emanuel Lucas; Gatziu Grivas, Stella; Giovanoli, Claudio [in: IIAI-AAI 2021. 2021 10th International Congress on Advanced Applied Informatics. Proceedings]Increased consciousness of cloud computing capabilities leads to greater adoption of the cloud. For many businesses, cloud computing represents an attractive cost-saving option for the establishment and maintenance of IT resources. Decision-makers are often confronted with multi-criteria decision issues regarding cloud service and deployment model selection and do not have the required technological and business-related background. This work aimed at developing a conversational decisions advisor in the form of the Cloud Advisor Bot to support complex assessment of cloud needs. The literature review revealed a gap in this domain as there is no pre-existing research in the area of chatbots that support the cloud assessment process. Based on the literature reviews as well as further research, it was investigated which elements needed to be developed in order to implement a prototype of the Cloud Advisor Bot. To achieve this, design science research was applied to iteratively develop the solution. The evaluation has shown that the prototype of the Cloud Advisor Bot can be successfully used in order to conduct an assessment regarding a possible cloud deployment scenario. The paper also proposes further developments in order to improve the solution and make it viable for the future04B - Beitrag Konferenzschrift