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Using Artificial Intelligence in Parliament - Initial Results from the Canadian House of Commons
Die Bedeutung von Nachhaltigkeitssoftware: Messen und Managen nichtfinanzieller Daten
Die Dissertation untersucht Nachhaltigkeitssoftware anhand sozialökologischer, relationalökonomischer und informatischer Vorarbeiten, um das Verständnis der Entwicklung unternehmerischen Nachhaltigkeitsmanagements zu erweitern. Drei empirische Zugänge zum Thema werden vorgestellt: Ausbildung von Buchhaltern zu nichtfinanziellen Daten, Nachhaltigkeitssoftware als Treiber der CSR-Regulierung und Akzeptanz von Nachhaltigkeitssoftware. Eingesetzt werden konzeptionelle Forschung, qualitative Inhaltsanalysen und ein quantitativer Fragebogen. Die Fähigkeit von Mitarbeitenden zur Steuerung nichtfinanzieller Daten gewinnt an Bedeutung. Dabei spielt die Möglichkeit, mit Software nichtfinanzielle Daten automatisiert zu steuern, zu berichten und zu verifizieren, eine immer wichtigere Rolle.This dissertation examines sustainability software using socio-ecological, relational economics, and information science prior work to expand understanding of the evolution of corporate sustainability management. Three empirical approaches to the topic are presented: Accountant education on non-financial data, sustainability software as a driver of CSR regulation, and sustainability software adoption. Conceptual research, qualitative content analysis, and a quantitative questionnaire are employed. The ability of employees to manage nonfinancial data is gaining importance. The ability to use software to control, report, and verify non-financial data in an automated manner is increasingly important
Epistemological shifts, power imbalances and conflicts at documenta fifteen: decolonial cultural policy conceptions beyond Eurocentric universalism
Verwaltungsmodernisierung durch textgenerierende KI - Welche Stärken, Schwächen, Chancen, Risiken und Herausforderungen bringt diese Technologie mit sich?
Neubearbeitung Einführung ErbStG, Kommentierung zu §§ 13d, 21, 27-35 und § 8, 11-13 GrEstG Erbschaft Schenkungssteuergesetz
Challenges of Optimising Large Project Management through Global Resource Allocation
LEIZ Case Study #2– Challenges of Optimizing Large Project Management through Global Resource AllocationThe Plant & Machine Engineering Company is a German-based company specialising in the engineering of plants and machines. It is headquartered in Germany but boasts 13 subsidiaries spread across four continents, with each subsidiary having 1-5 locations comprising offices and production sites. The Chief Operating Officer and the management team believe the company needs to combine resources from different subsidiaries, such as global access to a pool of specialised skills, to tackle labour shortages and meet the demands of fluctuating project sizes. In a global value network, one of the main challenges management faces is involving local decision-makers in the subsidiaries to ensure a seamless customer experience. The case study sheds light on the challenges faced due to a highly complex intra- and inter-organizational environment. For instance, the language and communication barriers were not fully considered during the expansion process, leading to misunderstandings and communication gaps, hampering collaboration. A reorganisation towards a management network that promotes interaction and learning among different subdivisions and departments, as well as a change in the organisational culture, were suggested