Gatziu Grivas, Stella

Profilbild
E-Mail-Adresse
Geburtsdatum
Projekt
Organisationseinheiten
Berufsbeschreibung
Nachname
Gatziu Grivas
Vorname
Stella
Name
Gatziu Grivas, Stella

Filter

2018 - 201972020 - 20236
Filter zurücksetzen

Einstellungen

Dateien dazu vorhanden?: Nein ×

Suchergebnisse

Gerade angezeigt 1 - 10 von 13
  • Vorschaubild nicht verfügbar
    Publikation
    Towards a leadership model focusing on mistake making culture enhanced by collective intelligence
    (2023) Heimann, Sandro; Imhof, Denis; Gatziu Grivas, Stella [in: Proceedings of the 23th European Academy of Management EURAM Conference]
    This exploratory research paper introduces a novel approach for organizational error management based on a prototype model combining a positive mistakes-making culture with the use of collective intelligence. The model allows to identify mistakes and problems in everyday work in organizations along predefined key performance indicators (KPIs), such as they are represented by the Balanced Score Card (BSC). The model includes four problem-solving elements which are applied in a circular manner to counteract the problem areas and ultimately improve the chosen KPIs sustainably. The introduction of the four problem-solving elements is the main contribution of this paper. The elements have been iteratively developed using a Design Science Research methodology, consisting of multiple semi-structured interviews with seasoned experts with management experience. To enhance the applicability of the model in practice, a detailed questionnaire has been developed to guide decision-makers in using the. Additionally, a hypothetical use case is discussed for a potential application of the model. The model is laid out to be applicable in different organizations as well as on different hierarchical levels, depending on the autonomy of the teams or departments.
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Position paper - Hybrid artificial intelligence for realizing a leadership assistant for platform-based leadership consulting
    (Springer, 2023) Gatziu Grivas, Stella; Imhof, Denis; Gachnang, Phillip; Soffer, Pnina; Ruiz, Marcela [in: Advanced information systems engineering workshops: CAiSE 2023 international workshops, Zaragoza, Spain, June 12-16, 2023, proceedings]
    Digital technologies enable new forms of value creation, value proposition, and value capturing for all kinds of organizations in all kinds of industries. Often, companies strive to digital transform and obtain consultancy services due to missing expert knowledge on how to approach the transformation. Interestingly, research shows that the consulting industry itself shows a high potential for a digital transformation, but platform-based consulting models and self-service consulting models are still underdeveloped. With this position paper, the authors propose an own approach on how to integrate human expert knowledge and machine learning in a novel hybrid artificial intelligence and platform-based consulting model, which not only offers the potential to transform the consultancy industry but also supports organizations in their transformation efforts. The authors take the area of digital leadership consulting to illustrate this.
    04A - Beitrag Sammelband
  • Vorschaubild nicht verfügbar
    Publikation
    Artificial intelligence and machine learning for maturity evaluation and model validation
    (2022) Hanne, Thomas; Gachnang, Phillip; Gatziu Grivas, Stella; Kirecci, Ilyas; Schmitter, Paul [in: ICEME 2022. The 2022 13th International Conference on E-business, Management and Economics (ICEME 2022). Beijing, China (vurtual conference), July 16-18, 2022]
    In this paper, we discuss the possibility of using machine learning (ML) to specify and validate maturity models, in particular maturity models related to the assessment of digital capabilities of an organization. Over the last decade, a rather large number of maturity models have been suggested for different aspects (such as type of technology or considered processes) and in relation to different industries. Usually, these models are based on a number of assumptions such as the data used for the assessment, the mathematical formulation of the model and various parameters such as weights or importance indicators. Empirical evidence for such assumptions is usually lacking. We investigate the potential of using data from assessments over time and for similar institutions for the ML of respective models. Related concepts are worked out in some details and for some types of maturity assessment models, a possible application of the concept is discussed.
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Cloud 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 future
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Maturity analysis assess the capability of an organization to innovate
    (IADIS, 2020) Adam, Marc; Peter, Marco; Gatziu Grivas, Stella; Nunes Baptista, Miguel; Isaías, Pedro; Powell, Philip; Bontchev, Boyan [in: IADIS International Conference Information Systems 2020]
    Globalization creates a highly competitive environment for organizations. To be successful in this environment in the long term, organizations need the capability to innovate and produce ongoing innovations. However, many organizations do struggle to do so despite their innovation efforts. Therefore, it is important to determine the factors of a company’s innovation capability. This research paper answers the question of how a method should be designed in order to assess an organization’s capability to innovate. To answer this question, extensive literature research on the topics of innovation, existing innovation models, and organizational behavior, as well as expert interviews with people from different industries, were conducted. Thus, this paper follows a design science strategywith a qualitative approach. The analysis of the literature showed that several factors determine the innovation capability of an organization. However, existing models sometimes focus on a single factor or contain several factors, which are not described sufficiently. Furthermore, the possibility for organizations to assess themselves using the models is largely missing. Based on the data from the literature and the interviews, a maturity assessment, consisting of a model of seven dimensions and 27 indicators, and a corresponding questionnaire to assess these indicators, was developed. The research findings suggest that the developed maturity assessment with its Organizational Innovation Capability model is a suitable and comprehensive method that can be used to support organizations by assessing their current innovation capability in order to define the necessary further measures. This research argues that the additional dimensions and indicators are needed in order to provide a comprehensive overview of the innovation capability maturity of an organization. Further, the experts emphasized the value of creating awareness within an organization and providing a good foundation for further discussions and actions by means of the maturity assessment.
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Ontology-based visualization for business model design
    (Springer, 2020) Peter, Marco; Montecchiari, Devid; Hinkelmann, Knut; Gatziu Grivas, Stella; Grabis, Jānis; Bork, Dominik [in: The Practice of Enterprise Modeling. 13th IFIP Working Conference, PoEM 2020, Riga, Latvia, November 25-27, 2020. Proceedings]
    The goal of this paper is to demonstrate the feasibility of combining visualization and reasoning for business model design by combining the machine-interpretability of ontologies with a further development of the widely accepted business modeling tool, the Business Model Canvas (BMC). Since ontologies are a machine-interpretable representation of enterprise knowledge and thus, not very adequate for human interpretation, we present a tool that combines the graphical and human interpretable representation of BMC with a business model ontology. The tool connects a business model with reusable data and interoperability to other intelligent business information systems so that additional functionalities are made possible, such as a comparison between business models. This research follows the design science strategy with a qualitative approach by applying literature research, expert interviews, and desk research. The developed AOAME4BMC tool consists of the frontend, a graphical web-based representation of an enhanced BMC, a web service for the data exchange with the backend, and a speci c ontology for the machine-interpretable representation of a business model. The results suggest that the developed tool AOAME4BMC supports the suitability of an ontology-based representation for business model design.
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Digitale Transformation – Transformation der Unternehmen im digitalen Zeitalter
    (Springer, 2019) Gatziu Grivas, Stella; Graf, Manuela; Gatziu Grivas, Stella [in: Digital business development. Die Auswirkungen der Digitalisierung auf Geschäftsmodelle und Märkte]
    Digitale Technologien verändern die Art und Weise, wie Menschen miteinander arbeiten, wie sie konsumieren, leben und interagieren. Es handelt sich dabei um einen kontinuierlichen Wandel, der Unternehmen sowohl vor großen Herausforderungen stellt, als ihnen auch zahlreiche Chancen bietet. Die Transformation der Unternehmung in das digitale Zeitalter ermöglicht Unternehmen einen Wettbewerbsvorteil, höhere Effizienz sowie Kostensenkung, um nur einige Vorzüge zu nennen. Hierbei sind jedoch grundlegende Veränderungen notwendig, mit denen sich Unternehmen auseinandersetzen müssen. Das Ausmaß und die Reichweite der Transformation werden oft unterschätzt oder nicht wahrgenommen. Das birgt Risiken und verpasste Chancen. Das Ziel dieses Kapitels ist, die Reichweite der digitalen Transformation zu diskutieren und die Leser dafür zu sensibilisieren, die Transformation als eine Reise zu sehen.
    04A - Beitrag Sammelband
  • Vorschaubild nicht verfügbar
    Publikation
    Digital Business Development – Die Agilität des digitalen Zeitalters managen
    (Springer, 2019) Schwaferts, Dino; Gatziu Grivas, Stella [in: Digital Business Development. Die Auswirkungen der Digitalisierung auf Geschäftsmodelle und Märkte]
    Wir sehen, dass sich mit dem Übergang in das digitale Zeitalter die Lebensweise und damit auch die Nachfrage der Kunden ändern. Wir sehen auch, dass die Digitalisierung die Unternehmensformen, den Führungsanspruch und die unternehmerischen Risiken ändert. In der Summe der derzeitigen Veränderungen entsteht so eine Komplexität, die für Unternehmen oft schwer zu greifen ist. Dieser Beitrag bringt die Veränderungen auf den Punkt, zeigt die Zusammenhänge auf und hilft den Unternehmen so, ihre Weichen so zu stellen, dass sie in der digitalen Zukunft agil sein können, aber auch gleichzeitig sattelfest bleiben.
    04A - Beitrag Sammelband
  • Vorschaubild nicht verfügbar
    Publikation
    Skills and competencies for digital transformation initiatives - Development of a model to identify relevant skills and competencies for a company's individual digital transformation roadmap
    (2019) Peter, Marco; de Roche, Murielle; Graf, Manuela; Gatziu Grivas, Stella
    The goal of this paper is to demonstrate the need for a structured method to identify skills and competencies that are required for a holistic digital transformation for a certain company in its particular environment. A framework called Transformation Compass, which includes all relevant business areas of an enterprise and where technology is seen as an enabler, serves as a starting point for the ascertainment of needed skills and competencies. The model developed as part of this research, named SkiCo (skills and competencies), maps the re-quired skills and competencies based on the categories of the Transformation Compass. On top of that, SkiCo structures skills and competencies in three dif-ferent levels: cluster, category, and sub-category and provides information about their origin.
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Case model for the RoboInnoCase recommender system for cases of digital business transformation: structuring information for a case of digital change
    (SciTePress, 2019) Witschel, Hans Friedrich; Peter, Marco; Seiler, Laura; Parlar, Soyhan; Gatziu Grivas, Stella; Bernardino, Jorge; Salgado, Ana; Filipe, Joaquim [in: ICEIS 2019. 21st International Conference on Enterprise Information Systems. Proceedings]
    In this work, we develop a case model to structure cases of past digital transformations which act as input data for a recommender system. The purpose of that recommender is to act as an inspiration and support for new cases of digital transformation. To define the case model, case analyses, where 40 cases of past digital transformations are analysed and coded to determine relevant attributes and values, literature research and the particularities of the case for digital change, are used as a basis. The case model is evaluated by means of an experiment where two different scenarios are fed into a prototypical case-based recommender system and then matched, based on an entropically derived weighting system, with the case base that contains cases structured according to the case model. The results not only suggest that the case model’s functionality can be guaranteed, but that a good quality of the given recommendations is achieved by applying a case-based recommender system using the proposed case model. The results not only suggest that the case model’s functionality can be guaranteed, but that a good quality of the given recommendations is achieved by applying a case-based recommender system using the proposed case model.
    04B - Beitrag Konferenzschrift