Browsing by Author "Caldag, Murat Tahir"

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    AI Pair Programming Acceptance: A Value-Based Approach with AHP Analysis
    (2024 10TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES, 2024) Caldag, Murat Tahir
    The emergence of Artificial Intelligence ( AI) tools is transforming every aspect of life with new opportunities and risks. An impact of AI tools can be seen in AI pair programming which is defined as a generative and creative support tool with real-time interaction. The goal of this study is to explore the AI pair programming acceptance. To identify, describe, categorize, and rank the factors affecting the acceptance of AI pairs a literature review, a research model proposal based on an extension of the Value-based Adoption Model (VAM) framework, and an Analytic Hierarchy Process (AHP) analysis is conducted. The proposed model consists of six main factors and twenty-two sub-factors which are validated with an AHP analysis including eleven experts' judgments. The findings presented the most essential factors as productivity, code accuracy, complexity, personal development, and innovativeness. The least significant factors were inspiration, motivation, intellectual property violation, AI interaction, and trust. This study provides insight to AI tool developers and producers in the context of programming on the key factors to consider for success.
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    The maturity of open government data maturity: a multivocal literature review
    (2022) Caldag, Murat Tahir; Gokalp, Ebru; 0000-0003-1353-0556
    Purpose The aim of this study is to provide administrators in government institutions a roadmap to achieve benefits of open government data (OGD) by reviewing and classifying studies with assessment or maturity models (MMs) in the OGD domain with a Multivocal Literature Review (MLR). Design/methodology/approach To achieve this goal, the authors conducted an MLR that includes data from not only the formal literature but also the grey literature (e.g. white papers and online documents). Findings Out of 3,569 sources, 81 studies were selected by following the elimination scheme and assessing sources by relevance and methodology. As a result of the quality assessment of the identified MMs based on predefined criteria, unambiguity, comparability, repeatability, completeness, clearness and objectivity, it was observed that there are a limited number of MMs in this domain and none of them fully satisfies the requirements. Originality/value This study is likely the first MLR on OGD domain. This MLR serves as a first step for future research on OGD assessment and MMs by presenting the need to establish a holistic approach covering all OGD dimensions, creation of an objective assessment method, prescriptive properties, and empirical evaluation demonstrating the applicability and usefulness at different scope levels.