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A Sparse Approximate Factor Model for High-Dimensional Covariance Matrix Estimation and Portfolio Selection
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Participatory methodological approaches for regenerative cultural policy. The case study of cultural mapping in the public library of Ravensburg
No full textJoining forces for online feedback management: policy recommendations for human–AI collaboration
No full textOnline customer feedback management (CFM) is becoming increasingly important for businesses. Providing timely and effective responses to guest reviews can be challenging, especially as the volume of reviews grows. This paper explores the response process and the potential for artificial intelligence (AI) augmentation in response formulation. We propose an orchestration concept for human–AI collaboration in co-writing within the hospitality industry, supported by a novel NLP-based solution that combines the strengths of both human and AI. Although complete automation of the response process remains out of reach, our findings offer practical implications for improving response speed and quality through human–AI collaboration. Additionally, we formulate policy recommendations for businesses and regulators in CFM. Our study provides transferable design knowledge for developing future CFM products
Layoff Announcements of German Listed (Family) Firms
No full textThe dissertation analyzes layoff announcements of 273 German listed (family) firms and their capital market effects for the period from 2000 to 2020. The empirical results show that the German capital market differentiates between shareholder identity, characteristics and motivations of layoff plans. Family blockholders are seen as valuable for corporate governance, with family ownership as decisive element. Family blockholders are typically strongly invested in the family firm, hence not diversified. The long-term orientation and risk-aversity is also reflected in a more conservative financial policy. Family firms announce less layoff plans, and if so, in a more consensus-oriented manner. The high value of human capital is also recognized by the capital market, perceiving higher layoff ratios more negatively in family firms. Basis of this dissertation is a hand-collected dataset of shareholder structures in Germany, for which layoff announcements were collected and classified for the respective sample period. The dissertation applies an event study methodology, and controls for influencing factors via a cross-sectional regression
