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    <title>EconStor Community: IU International University of Applied Sciences</title>
    <link>https://hdl.handle.net/10419/193013</link>
    <description>IU International University of Applied Sciences</description>
    <pubDate>Fri, 23 Oct 2026 00:23:08 GMT</pubDate>
    <dc:date>2026-10-23T00:23:08Z</dc:date>
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      <title>Wenn Strategien scheitern: Ursachen, Dynamiken und Wege zur Bewältigung</title>
      <link>https://hdl.handle.net/10419/335883</link>
      <description>Title: Wenn Strategien scheitern: Ursachen, Dynamiken und Wege zur Bewältigung
Authors: Domguia Teto, Jean Oscard; Dulgeridis, Marcel; Schubart, Constantin</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-01-01T00:00:00Z</dc:date>
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      <title>The role of value alignment in shaping employee engagement across generations</title>
      <link>https://hdl.handle.net/10419/335881</link>
      <description>Title: The role of value alignment in shaping employee engagement across generations
Authors: Schubart, Constantin; Meyer, Svenja
Abstract: This study examined the relationship between employees' personal work values, their alignment with organizational values, and their effects on employee engagement and turnover intention, with a focus on generational differences. Drawing on the Person-Environment Fit framework, the Job DemandsResources model, and Self-Determination Theory, the study explored whether value alignment predicts engagement and turnover intention, and whether it mediates the relationship between the two. Data was collected via an online survey from 202 participants across various organizational contexts. Measures included the Utrecht Work Engagement Scale (UWES-9), the Turnover Intention Scale (TIS-6), and an adapted version of the Work Values Survey (WVS). Multiple linear regression and MANOVA were used for hypothesis testing. Results showed that engagement significantly predicted reduced turnover intention, confirming prior research. However, value alignment did not significantly predict engagement or turnover intention, nor did it mediate the relationship between them. Among work values, altruism, prestige, and pay were significantly associated with engagement. No significant generational differences in work values were found, likely due to sample imbalances. The findings suggest that specific work values may influence engagement more than general alignment and highlight the need for refined measurement approaches. Implications for retention strategies, as well as directions for future research on multilevel value alignment and generational diversity, are discussed.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Social Media als Employer Branding Strategie: Einfluss von Employer-Branding-Maßnahmen auf Instagram und TikTok auf die Arbeitgeberattraktivität</title>
      <link>https://hdl.handle.net/10419/335882</link>
      <description>Title: Social Media als Employer Branding Strategie: Einfluss von Employer-Branding-Maßnahmen auf Instagram und TikTok auf die Arbeitgeberattraktivität
Authors: Perst, Florian; Schubart, Constantin; Winter, Hannah</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Künstliche Intelligenz in Kommunen: Chancen, Herausforderungen und Förderbedarf für die Digitalisierung der Verwaltung. Empirische Ergebnisse zu Akzeptanz, Einsatzfeldern und Praxisbeispielen aus deutschen Gemeinden</title>
      <link>https://hdl.handle.net/10419/339607</link>
      <description>Title: Künstliche Intelligenz in Kommunen: Chancen, Herausforderungen und Förderbedarf für die Digitalisierung der Verwaltung. Empirische Ergebnisse zu Akzeptanz, Einsatzfeldern und Praxisbeispielen aus deutschen Gemeinden
Authors: Linke, Knut
Abstract: This paper investigates the current state and challenges of artificial intelligence (AI) implementation in German municipal administrations. Despite AI's growing relevance in society, empirical insights into its acceptance and use in local government are still scarce. Drawing on a nationwide online survey of citizens and municipal officials (n=142; n=50), the study analyzes perceptions, experiences, and expectations regarding digital and AI-supported services in local administration. Research questions focus on the extent of digital transformation, use cases, acceptance, and perceived barriers among both groups, as well as organizational and regulatory drivers and obstacles. Results show that while AI-based services are widely considered crucial for future municipal operations, their practical application is still limited, often restricted to fields like automated translations or citizen communication. Data protection, lack of information, and organizational hurdles emerge as main barriers. The paper concludes with recommendations, emphasizing the need for clear strategies, targeted training, and regulatory clarity to promote effective and responsible AI adoption at the municipal level.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-01-01T00:00:00Z</dc:date>
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