Yazar "Unal, Aslihan" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim
    Öğe
    The effect of big data in transforming to learning organization a single-case study in IT sector
    (Emerald Group Publishing Ltd, 2022) Başak, Sena; Kılınç, İzzet; Unal, Aslihan
    Purpose The purpose of this paper is to examine the contribution of big data in the transforming process of an IT firm to a learning organization. Design/methodology/approach The authors adopted a qualitative research approach to define and interpret the ideas and experiences of the IT firms' employees and to present them to the readers directly. For this purpose, they followed a single-case study design. They researched on a small and medium enterprise operating in the IT sector in Duzce province, Turkey. This paper used a semi-structured interview and document analysis as data collecting methods. In all, eight interviews were conducted with employees. Brochures and website of the organization were used as data sources for the document analysis. Findings As a result of in-depth interviews and document analysis, the authors formed five main themes that describe perception of big data and learning organization concepts, methods and practices adopted in transforming process, usage areas of big data in organization and how the sample organization uses big data as a learning organization. The findings of this paper show that the sample organization is a learning IT firm that has used big data in transforming to learning organization and in maintaining the learning culture. Research limitations/implications The findings contribute to literature as it is one of the first studies that examine the influence of big data on the transformation process of an IT firm to a learning organization. The findings reveal that IT firms benefit from the solutions of big data while learning. However, as the design of the research is single-case study, the findings may be specific to the sample organization. Future studies are required that examine the subject in different samples and by different research designs. Originality/value In literature, research on how IT firms' managers and employees use big data in organizational learning process is limited. The authors expect that this paper will shed light on future research that examines the effect of big data on the learning process of the organization.
  • Küçük Resim Yok
    Öğe
    The feasibility of artificial intelligence performing as CEO: the vizier-shah theory
    (Emerald Group Publishing Ltd, 2021) Unal, Aslihan; Kilinc, Izzet
    Purpose This paper aims to examine the feasibility of artificial intelligence (AI) performing as chief executive officer (CEO) in organizations. Design/methodology/approach The authors followed an explorative research design - classic grounded theory methodology. The authors conducted face-to-face interviews with 27 participants that were selected according to theoretical sampling. The sample consisted of academics from the fields of AI, philosophy and management; experts and artists performing in the field of AI and professionals from the business world. Findings As a result of the grounded theory process The Vizier-Shah Theory emerged. The theory consisted of five theoretical categories: narrow AI, hard problems, debates, solutions and AI-CEO. The category AI as a CEO introduces four futuristic AI-CEO models. Originality/value This study introduces an original theory that explains the evolution process of narrow AI to AI-CEO. The theory handles the issue from an interdisciplinary perspective by following an exploratory research design - classic grounded theory and provides insights for future research.