İktisadi ve İdari Bilimler Fakültesi / Faculty of Economics and Administrative Sciences

Permanent URI for this collectionhttps://hdl.handle.net/11727/1399

Browse

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    BlockchainBased Supply Chain Management: Understanding the Determinants of Adoption in the Context of Organizations
    (2020) Gokalp, Ebru; Gokalp, Mert Onuralp; coban, Selin; 0000-0002-4030-2447; AAZ-7756-2020; S-5921-2016
    This study investigates the importance of the determinants affecting the adoption and usage of blockchain-based SCM systems in the context of organizations. Hence, an SLR method was followed to uncover critical determinants in the literature. Then, a research model, including 14 key determinants, was developed based on the TOE Framework. Subsequently, the AHP method was applied to rank the adoption determinants. The findings reveal that environment-related determinants are more critical than technology-related or organization-related determinants.
  • No Thumbnail Available
    Item
    Towards a Model Based Process Assessment for Data Analytics: An Exploratory Case Study
    (2020) Gokalp, Mert Onuralp; Kayabay, Kerem; Gokalp, Ebru; Kocyigit, Altan; Eren, P. Erhan; 0000-0002-4030-2447; S-5921-2016
    The ability to leverage data analytics can enhance the decision-making process in organizations by generating valuable insights. However, there is a limited understanding of how organizations can adopt data analytics as part of their business processes due to a lack of comprehensive roadmap with a structural approach like a Process Capability Maturity Model (PCMM). In this study, the development of a PCMM based on the ISO/IEC 330xx standard for the data analytics domain is proposed to assist organizations in assessing their data analytics processes capability level and providing a roadmap for improving them continuously. Towards this goal, we conducted an exploratory case study for one data analytics process to evaluate the applicability and usability of the proposed approach.