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    Intimate relationships in the workplace represent an ambivalent issue for organizations, the individuals involved, as well as for their colleagues. This thesis focuses on how intimate relationships in organizations are perceived by uninvolved colleagues. The aim was to explore whether such relationships are regarded by these uninvolved colleagues more as a burden or as a resource. To achieve this research objective, a quantitative online survey with 160 valid participants was conducted. Hypotheses regarding perceptions of burden and resource, as well as perceptions of organizational justice and the subjective well-being of uninvolved colleagues, were developed and statistically tested based on the Job Demands–Resources (JD-R) model. In addition, the hierarchical level at which the intimate relationship occurred, as well as the personal attitudes of uninvolved colleagues toward such relationships in organizations, were integrated into the hypothesis-building process. The results of the survey revealed that intimate relationships in organizations are associated with lower levels of subjective well-being among uninvolved colleagues. Furthermore, increased perceptions of burden and decreased perceptions of justice were identified, particularly when the relationship involved hierarchical differences. It was also confirmed that personal attitudes toward intimate relationships influence whether these are perceived as a burden or as a resource. However, a positive association between intimate relationships in organizations and the perception of resources could not be confirmed. Likewise, no significant relationship was found between frequency of contact and perceived burden. The study concludes that intimate relationships in organizations are predominantly perceived as a burden by uninvolved colleagues. Moreover, it provides a solid foundation for further research and contributes to raising awareness of this issue.Masterarbeit Wien, Fachhochschule des BFI Wien 202

    Working paper series by the University of Applied Sciences bfi Vienna / Von Erfahrung zum Itempool : IPA und Belief Analysis in der Entwicklung einer Skala zum digital Mindset

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    Dieses Working Paper dokumentiert die erste Phase der Entwicklung einer Skala zur Messung des digitalen Mindsets. Aufbauend auf einer qualitativen Studie wurde die interpretative phänomenologische Analyse (IPA) mit einer Glaubensanalyse kombiniert, um sowohl die gelebten Erfahrungen als auch die kognitiven Strukturen zu erfassen, die die Orientierungen gegenüber digitalen Technologien prägen. Durch diesen zweistufigen Prozess wurden persönliche Erfahrungsaussagen systematisch in Glaubenskategorien übersetzt und als Itemkandidaten neu formuliert. Der daraus resultierende Item-Pool zeigt, wie der phänomenologische Reichtum bewahrt und gleichzeitig Ergebnisse erzeugt werden können, die für psychometrische Tests geeignet sind. Bei der Reflexion des Entwicklungsprozesses werden die Stärken der methodischen Transparenz und der analytischen Tiefe hervorgehoben, aber auch Herausforderungen wie die Übersetzung, der Sprachtransfer von der Erzählung zum Item und die Redundanzreduktion anerkannt. Das Paper argumentiert, dass die Einfügung der Überzeugungsanalyse als eigenständige Ebene zwischen der qualitativen Exploration und der quantitativen Validierung einen eigenständigen methodischen Beitrag darstellt. Durch die transparente Darstellung der Itemgenerierung legt diese Studie den Grundstein für nachfolgende Validierungsphasen und verdeutlicht das Potenzial der Skala sowohl als Forschungsinstrument als auch als praktisches Werkzeug für Organisationen, die sich im digitalen Wandel befinden.This working paper documents the initial phase of developing a scale to measure the digital mindset. Building on a qualitative study, interpretative phenomenological analysis (IPA) was combined with belief analysis to capture both lived experience and the cognitive structures that shape orientations toward digital technologies. Through this two-step process, personal experiential statements were systematically translated into belief categories and reformulated as candidate items. The resulting item pool demonstrates how phenomenological richness can be preserved while producing outputs suitable for psychometric testing. Reflecting on the development process highlights the strengths of methodological transparency and analytical depth, while also acknowledging challenges such as translation, language transfer from narrative to item, and redundancy reduction. The paper argues that inserting belief analysis as a distinct layer between qualitative exploration and quantitative validation constitutes a methodological contribution in its own right. By providing a transparent account of item generation, this study lays the groundwork for subsequent validation phases and points to the potential of the scale as both a research instrument and a practical tool for organisations navigating digital transformation.Magistratsabteilung 23, Wirtschaft, Arbeit und Statistik Call 30-20 Digital Mindse

    Wer sorgt? Wer arbeitet? Geschlechtspezifische Verteilung von Erwerb – und Care-Arbeit in Österreich und Schweden

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    This master’s thesis analyzes the gendered division of paid employment and unpaid care work in Austria and Sweden, focusing on how political, economic, and societal structures influence this distribution. Care work, which refers to unpaid labor related to caregiving and domestic responsibilities, is essential for the functioning of society but remains largely invisible in traditional welfare models. Building on feminist theories and critiques, including Esping-Andersen’s welfare typology, caring masculinities, and male breadwinner models, the study examines how gender norms and state interventions shape labor division. Using a comparative qualitative approach, the thesis contrasts family and labor market policies in both countries, including parental leave, taxation, childcare provision, and flexible work models. Sweden is presented as a social-democratic welfare state with strong gender equality policies, while Austria maintains more conservative frameworks rooted in traditional family roles. Data on part-time employment, labor force participation, the gender pay gap, and uptake of paternal leave illustrate how institutional and cultural contexts influence gendered work patterns. Findings suggest that legal frameworks alone are insufficient to achieve lasting gender equality. Structural reforms must be accompanied by cultural change. The thesis concludes with practical policy recommendations for Austria, highlighting the need to expand childcare services, promote equal parental leave, and raise awareness of care work’s societal value. A fairer distribution of paid and unpaid labor is essential not only for gender justice but also for sustainable economic development.Masterarbeit Wien, Fachhochschule des BFI Wien 202

    Working paper series by the University of Applied Sciences bfi Vienna / Civil Society Networks in the Global South : Research Project: “Fostering international civil society cooperation: the EU CSDDD as a new entry point for just transition”

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    Civil society networks in the Global South play a crucial role in monitoring corporate compliance and advocating for stronger implementation measures. This working paper looks at the role civil society networks could play in the implementation of the EU’s Corporate Sustainability Due Diligence Directive. Strengthening long-term partnerships between local activists and international organizations will be key to maximizing the Directive’s positive impact globally, in order to foster both South-South as well as South-North cooperation. FIAN has been involved in right-to-food activities and has played a major role in supporting activists and safeguarding the right to land in Uganda. For this reason, the country will be taken as a case study to showcase the measures and activities that are necessary to implement human and workers’ rights in a state that struggles in terms of democratic development.Klima- + Energiefonds Austrian Climate Research Programme (ACRP) 202

    Professionelles Trennungsmanagement und dessen Auswirkungen auf Führungskräfte und HR-Mitarbeitende

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    In today´s dynamic business environment, employer branding and separation management have emerged as critical areas within human resources and organizational psychology. This thesis explores the significance of professional separation management, focusing on its impact on leaders, HR professionals, and organizational dynamics. The research highlights the increasing importance of fair and transparent offboarding processes, particularly considering labor shortage and evolving workplace expectations. The study addresses the challenges associated with employee separations, such as communication barriers, the emotional toll on managers and teams and the broader implications for employer branding. It underscores the need for structured separation strategies that balance fairness, compliance and organizational values, thereby fostering trust and retaining the engagement of the remaining employees. Through a combination of theoretical analysis and empirical research based on qualitative interviews with experts, this thesis identifies key practices and strategies that mitigate the adverse effects of employee separation while enhancing organizational resilience and reputation. The findings emphasize the role of fairness, communication and leadership in shaping a culture that aligns with both employee and organizational needs. The research contributes to a deeper understanding of how organizations can navigate the complexities of separation management to maintain the competitive edge in a challenging labor market.Masterarbeit Wien, Fachhochschule des BFI Wien 202

    Die Zukunft der Produktionslogistik : Chancen und Herausforderungen durch die Integration von KI-Anwendungen in Produktionsprozessen

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    This master's thesis examines and analyses the integration of artificial intelligence (AI) into production logistics. The study focuses on the applications as well as the challenges and opportunities of AI integration. A future outlook is also provided. Using a qualitative research strategy consisting of a comprehensive literature analysis and expert interviews, various AI technologies are analysed with regard to their potential applications in key areas of production logistics. Production planning and control, manufacturing processes, warehouse and material flow management as well as quality management are the objects of investigation. The results show that AI applications such as machine learning, computer vision, robotics and speech recognition are already being used specifically to increase efficiency, reduce costs and ensure quality. Predictive analytics improves forecasting models in production control, while computer vision and robotics optimise manufacturing processes. At the same time, however, there are considerable challenges, including data availability and quality, acceptance of the technology in companies and ethical and legal issues.Successful implementation requires not only technological advances but also organisational adjustments and qualified specialist personnel.The future prospects show enormous potential for the increased use of AI in production logistics. In particular, the development of the digital twin, the implementation of AI-supported predictive maintenance and autonomous systems promise significant increases in efficiency. In addition, the increasing automation of complex decision-making processes and the optimisation of supply chains through AI will play a central role. The combination of AI and sustainability strategies will also play a key role by reducing resource consumption and promoting environmentally friendly production processes. To sum up companies that invest in AI technologies at an early stage will gain a significant competitive advantage by increase their competitiveness and at the same time establish resource-saving production processes.Masterarbeit Wien, Fachhochschule des BFI Wien 202

    Das Potenzial der Künstlichen Intelligenz zur Förderung der ökologischen Nachhaltigkeit in der Logistik

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    Artificial Intelligence (AI) is rapidly transforming industries by analyzing vast amounts of data, identifying patterns, and predicting complex system behaviorsIn the logistics sector, an essential pillar of the global economy, AI offers immense potential to boost efficiency and tackle environmental challenges, making it a key enabler for sustainable logistics. As e-commerce and digitalization continue to grow, the logistics industry faces mounting pressure to adopt solutions that enhance environmental sustainability in areas like transportation, warehousing, and resource management. AI can play a pivotal role in driving ecological sustainability in logistics by optimizing processes, reducing energy consumption, managing waste, and lowering emissions. However, the adoption of AI comes with significant challenges, including technical complexities, legal uncertainties, ethical considerations, and the need for a clear sustainability framework to guide its implementation. This thesis investigates how AI can be effectively leveraged to address these challenges while maximizing its environmental benefits. It explores the synergy between AI and logistics, analyzing how AI can drive the transition to more sustainable and responsible logistics practices. By examining AI's capabilities and limitations, this work provides insights into its strategic integration for ecological sustainability and outlines pathways for future research and practical applications in this evolving field.Masterarbeit Wien, Fachhochschule des BFI Wien 202

    Gender Bias im Recruiting : eine Untersuchung der Dimensionen Geschlecht und Unternehmensgröße

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    In einer sich rasant wandelnden Welt, in der Individuen stets mit einer Flut an Informationen konfrontiert sind, ist das Gehirn bereits darauf trainiert, kognitive Abkürzungen zu nehmen. Dabei vertraut es auf Kategorisierungen, die häufig kulturell und historisch verankert sind, wodurch automatisch bewusste bzw. unbewusste Assoziationen kreiert werden. Diese äußern sich oftmals nicht nur in offensichtlichen und absichtlichen Diskriminierungen, sondern insbesondere in unabsichtlichen, subtilen Verhaltensweisen, die ein viel größeres Problem darstellen, da sie schwer erkennbar und meist auch schwerer messbar sind. Auch wenn es bereits seit einigen Jahren einen Kulturwechsel in Richtung Gleichstellung in der Wirtschaft gibt, ist der damit verbundene Fortschritt weiterhin mäßig (Barriuso, 2024). Statistiken belegen, dass Frauen heutzutage weiterhin seltener Führungspositionen einnehmen (Eagly & Wood, 2016). Diese Diskrepanz in den geschlechterspezifischen Quoten lässt sich nicht auf Erfahrungen, Bildung und Fähigkeiten der Personen zurückführen, sondern auf Gender Bias (Heilman et al., 2015). Ziel der vorliegenden Masterarbeit ist es, die Auswirkungen von Gender Bias im Recruiting-Prozess zu untersuchen und hierbei eine Unterscheidung in den Dimensionen Unternehmensgröße und Geschlecht der in diesen Prozess involvierten Verantwortlichen vorzunehmen. Zur Beantwortung der Forschungsfragen wurden acht halbstrukturierte Interviews mit Expert:innen durchgeführt und die Aussagen anschließend analysiert und ausgewertet. Die Ergebnisse der Literaturrecherche und Expert:inneninterviews zeigen, dass insbesondere die Größe der Unternehmen hinsichtlich der Anwendung von Gender Bias im Recruiting eine signifikante Rolle spielt. Hierbei ergeben sich erhebliche Unterschiede bei der Unternehmensstruktur und -hierarchie, dem Strukturierungsgrad des Recruiting-Prozesses, dem gesetzlichen und gesellschaftlichen Druck und die Rolle von Sympathie. Das Geschlecht der in den Recruiting-Prozess involvierten Verantwortlichen hat hingegen nur bedingt eine Auswirkung auf die Häufigkeit des Auftretens von Gender Bias. Hier kommt es eher auf die Persönlichkeit und Erfahrungswerte der Personen an.Masterarbeit Wien, Fachhochschule des BFI Wien 202

    Audits als Treiber für Verbesserungen : die Rolle von Audits für die kontinuierliche Verbesserung von Qualitätsmanagementsystemen in technischen Unternehmen

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    In addition to their purpose of checking a company’s compliance against internationally established norms, audits are also drivers for continual improvement. Since there is little research regarding the benefits of audits for the technical field and the existing literature rather focuses on the improvement of production processes, the purpose of this master thesis is to explore how the quality management system (QMS) of companies in that field can be improved due to audits. Although customers pay for the end products, the QMS is responsible for ensuring the quality of these products and should, consequently, be continually improved itself. The thesis reveals 1. what requirements have to be met to ensure that audits lead to the expected benefits, 2. how the corrective and preventive actions are derived from the audit findings, 3. which specific actions are taken by technical companies to correct the identified nonconformities, and 4. how the implementation and effectiveness of these actions is ensured. In order to answer these four research questions, a thorough literature analysis was carried out, before conducting interviews with five experts from the technical field. The interviews showed that there are certain requirements for effective audits and actions as well as organizational requirements that are necessary for ensuring the improvement of the QMS through audits. To initiate the improvement, the audit findings are defined and categorized, the specific corrective and preventive actions are determined, the implementation details are entered into a corrective action plan and the implementation order is agreed upon. The specific actions for the optimization of the QMS include process changes, document changes, trainings, purchases of machines and tools, and fundamental changes of the whole system. The implementation of these actions is ensured by defining responsible people from the audited areas, providing regular status updates, reporting the completed implementation, and confirming the successful implementation. The management of the audited area and the auditors also have to check whether the implemented actions actually led to the expected benefits by either monitoring the effectiveness of the actions continually or at a set date. Finally, the thesis at hand offers practice-oriented recommendations for technical companies regarding how to derive, implement, and check the corrective and preventive actions.Masterarbeit Wien, Fachhochschule des BFI Wien 202

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