Graduate School of Social Sciences

Permanent URI for this collectionhttps://hdl.handle.net/10679/9881

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Browsing by Author "Aras, Arzu"

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    PhD DissertationPublicationMetadata only
    Technology and employee collaboration in the wake of organizations' digital transformation
    Aras, Arzu; Büyüközkan Feyzioğlu, Gülçin; Büyüközkan Feyzioğlu, Gülçin; Er, Alpay; Şenses, Özlem İnanç; Apak, S.; Demircan, M. L.; Department of Design, Technology and Society
    In this thesis, collaboration of employees with technology, the design of a digital maturity model, the socio-technical design of governance structures, the inclusion of employees in decision-making processes, and the implementation of robotic process automation activities that come to the fore in employee-technology collaboration have been considered. For a holistic and end-to-end handling of the transformation, the digital transformation journey and its critical stages have been defined. In the first stage, a holistic digital maturity model based on a systematic literature review has been designed. This model consists of six main dimensions named digital strategy, digital value, digital processes, digital technology and data, digital work, and digital governance, and twenty-four sub-dimensions. It enables the definition of all critical competencies required by digital transformation regardless of the sector and size of the organizations. In the second stage, after the assessment based on the maturity model has been accomplished, the focus is shifted to how the digital maturity assessment results can be scored and how the targets could be determined to create an effective transformation roadmap. In this context, AHP and TOPSIS methods, which are multi-criteria decision-making techniques, are used in the assessments carried out with the participation of employees. In the third stage, the focus is on robotic process automation that has been designed socio-technically. Then, AHP and TOPSIS methods are used in the selection of a vendor and prioritization of processes, which are critical in the effective deployment and management of this technology.