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Integrating Digital Competence into Change Management: Fostering Employee Acceptance in Digital Transformation
No full textThe rapid acceleration of digital transformation (DT) presents organizations with unique challenges, particularly in terms of overcoming employee resistance and addressing the digital competences gap. Established change management models (CMMs) such as those of Lewin, Kotter and Krüger provide a framework for managing organizational change, but their relevance to the complicated dynamics of digital transformation has not yet been explored in depth. The aim of this thesis is to assess how effective these models are in encouraging employees to implement DT, with a particular focus on the importance of digital competences. In order to understand the relationship between digital competence and employee acceptance in DT, a quantitative survey was performed with 257 participants. The results show that higher levels of digital competence are strongly associated with greater openness to change, active engagement and successful integration of digital tools into daily workflows. Conversely, employees with lower digital competence reported a higher level of uncertainty and hesitation when introducing new technologies. Contrary to expectations, the study found no significant differences in digital competences between employees who participated in traditional training programs and those who did not. However, access to self-directed learning resources was found to significantly increase engagement in autonomous learning. Based on these findings, the structured development of digital competences is included in Krüger's CMM as a fundamental component of the change process. AI-driven learning platforms, microlearning and gamification are identified in the study as helpful tools for effective learning methods that address the recognized barriers to formal training. The findings add to the theoretical understanding of DT and provide practical guidance for organizations. Overall, the results underline that the continuous development of personalized digital competences is essential for sustainable success in an increasingly digital world
Regional Lung Function by EIT in Pulmonary Chronic Graft‐Versus‐Host Disease Post Hematopoietic Stem Cell Transplantation
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Optical measurement methods of the 3D-position stability of implant-abutment connections - an in vitro study
No full textThe study of social animal migrations : a synthesis of the past and guidelines for future research
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Sniping dominates in reverse e-auctions: Experimental evidence that late bidding outperforms early or conservative strategies
No full textAbstract
In this bachelor’s thesis, we examine the influence of different bidding strategies on auction success in reverse e-auctions. Reverse e-auctions are gaining increasing importance in industrial procurement, as they create competition among suppliers and enable companies to achieve cost advantages. We aim to compare the effectiveness of key auction strategies and analyze their probability to succeed in competitive procurement contexts. In the context of a web-based experiment, we test five strategies: Sniping, Incremental Bidding, Aggressive Flooding, Bottom-Line, and Early Signal. The results show that Sniping achieved the highest auction wins by far, while Incremental Bidding had a moderate but more stable success rate. In contrast, Bottom-Line and Early Signal led to no auction success, and Aggressive Flooding proved to be only partially effective. Overall, the results demonstrate that the choice of strategy has a significant impact on auction success. We make both a theoretical contribution to the understanding of strategic bidding behavior in auctions and offer practical implications for the design of reverse e-auctions in procurement
