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Ein systemischer Ansatz für Sustainability Management in Unternehmen
No full textHumanity is facing complex, interwoven challenges that demand a fundamental shift in corporate thinking. Traditional linear approaches are increasingly inadequate— systems thinking, by contrast, offers a more suitable framework. This master’s thesis explores how a systemically grounded sustainability management approach can enable companies to meet growing ecological and societal (sustainability) responsibilities. Drawing on interdisciplinary insights from systems theory, management science, and sustainability literature, a model was developed that embeds sustainability management into the strategic, structural, and cultural core elements of organizations. The model is based on the extended 7-S framework (Peters & Waterman) and encompasses nine key areas—ranging from purpose and sustainable leadership to stakeholder engagement. The implementation of the model was empirically examined in large Austrian companies. A qualitative content analysis of sustainability reports, supplemented by interviews, revealed that systemic sustainability management is currently only partially implemented in practice. However, companies operating in heavily regulated industries or those with a historically strong focus on the common good as well as those preparing for nonfinancial reporting in accordance with the CSRD tend to exhibit a higher degree of systemic maturity. This thesis contributes to the theoretical foundation and initial, albeit limited empirical validation of a systemically grounded sustainability management approach and lays the groundwork for further in-depth research.[1]
[1] Für die Zusammenfassung der Conclusio als Abstract in englischer Sprache wurde ChatGPT unterstützend verwendet.Masterarbeit Wien, Fachhochschule des BFI Wien 202
Künstliche Intelligenz (KI) im Recruiting : eine qualitative Studie zu den Auswirkungen der KI-Nutzung im Recruiting in Großunternehmen
No full textThe current labor market is characterized by the competition in which companies want to attract potential, young talents. This is essentially an effect from the demographic and technological change. Especially the rapid advancement of Artificial Intelligence (AI) and its increasing adoption in various business functions has significantly impacted the recruitment process in large organizations. Companies look for more effective ways to handle the growing number of applications, which makes this study necessary. However, the use of AI may have a variety of negative effects, from biassed hiring judgements to data privacy threats. Understanding the legal restrictions on the use of AI systems in recruitment and how to handle these risks in practice are crucial for risk mitigation. Accordingly, this thesis investigates how AI tools improve efficiency, objectivity and speed at several phases of the recruitment process, such as candidate sourcing, screening, and selection. Contrary to that, it also highlights the possible risks, such as biases in AI systems and ethical concerns regarding discrimination and data privacy. Based on the findings of academic literature as well as qualitatively conducted interviews, it could be determined that implementing AI into the recruitment process significantly improves productivity, especially when it comes to screening and choosing applicants. Despite these advancements, human judgement is still essential for making final decisions, guaranteeing that AI is a useful supplementary tool rather than a substitute.Masterarbeit Wien, Fachhochschule des BFI Wien 202
Working paper series by the University of Applied Sciences bfi Vienna / Exploratory Structure Analysis and Item Reduction of the Digital Mindset Scale 2
No full textDie vorliegende Arbeit prüft die strukturelle Robustheit und externe Validität der im Rahmen von WP131 (Waldhauser 2025b) entwickelten Digital-Mindset-Skala. Aufbauend auf einer dreifaktoriellen Lösung mit sechzehn Items, die technologiebezogene Friktion und Belastung, breitere wahrgenommene Folgen technologischen Wandels sowie analoge Orientierung und Identitätspositionierung abbildet, werden drei Fragen adressiert: (1) Repliziert sich die Faktorstruktur in einer unabhängigen englischsprachigen Stichprobe? (2) Lässt sie sich in eine deutsche Übersetzung übertragen und zeigt Messinvarianz über Sprachen hinweg? (3) Wie positioniert sich die Skala im Netzwerk theoretisch angrenzender Konstrukte, konkret Digital Self-Efficacy (DSE) und Technostress?
In zwei Online-Stichproben (N_EN=149, N_DE=153) wurden konfirmatorische Faktorenanalysen, Messinvarianztests und Regressionsanalysen mit DSE und Technostress sowie demografischen und kontextuellen Kovariaten durchgeführt. Die dreifaktorielle Struktur replizierte sich in beiden Sprachversionen mit akzeptablen Anpassungsgüten; multi-group Analysen stützten konfigurale, metrische und schwellenbezogene Invarianz. Alle drei Dimensionen zeigten systematische Zusammenhänge mit DSE und Technostress, wobei der Faktor „Friktion/Belastung“ durchgängig die stärksten Assoziationen und die höchste prognostische Relevanz aufwies.
Die Befunde stützen die Interpretation des Digital Mindset als mehrdimensionale, beliefbasierte Struktur, die die kognitive Rahmung digitaler Anforderungen und die wahrgenommene Bewältigungsfähigkeit prägt. Zugleich wird deutlich, dass strain-fokussierte Überzeugungen inhaltlich eng an Technostress anschließen und ihre prominente Rolle teilweise der aktuellen Itemverteilung geschuldet ist. Insgesamt liefert die Studie eine stabilere empirische Grundlage für die Skala und markiert Ansatzpunkte für weitere Skalenverfeinerung, Längsschnitt- und Interventionsstudien.This working paper examines the structural robustness and external validity of the Digital Mindset scale developed in WP131 (Waldhauser 2025b). Building on a three-factor solution with sixteen items that capture (1) technology-related friction and strain, (2) broader perceived consequences of technological change, and (3) analogue orientation and identity positioning, the study addresses three questions: (1) whether the factor structure replicates in an independent English-speaking sample, (2) whether it generalises to a German translation and shows measurement invariance across languages, and (3) how the scale is positioned within a network of theoretically adjacent constructs, namely Digital Self-Efficacy (DSE) and technostress.
Two online samples (N_EN=149, N_DE=153) completed the Digital Mindset scale, DSE, technostress and covariate measures. Confirmatory factor analyses, multi-group invariance tests and regression models were conducted. The three-factor structure replicated in both language versions with acceptable model fit, and multi-group analyses supported configural, metric and threshold invariance. All three Digital Mindset dimensions showed systematic associations with DSE and technostress, with the friction/strain factor consistently displaying the strongest correlations and predictive effects once demographic and exposure-related covariates were controlled.
These findings support the interpretation of the Digital Mindset as a multidimensional, belief-based framework that shapes how individuals appraise digital demands and their own capability to manage them, rather than as a simple skill or trait measure. At the same time, the very strong linkage between the friction/strain factor and technostress highlights conceptual proximity and points to the influence of the current item architecture on the prominence of this dimension. Overall, the study provides a more stable empirical basis for the three-factor structure and identifies clear directions for further scale refinement and longitudinal or intervention-focused research.Magistratsabteilung 23, Wirtschaft, Arbeit und Statistik Call 30-20 Digital Mindse
Neuromarketing als Werkzeug der Nachhaltigkeitskommunikation : die Auswirkung der Farbgestaltung auf die Wahrnehmung von Nachhaltigkeitskampagnen
No full textThis master's thesis focuses on the use of neuromarketing as a tool in sustainability communication. The relevance of the topic results from advancing climate change and the associated responsibility of the economy and companies to operate sustainably. At the same time, companies are confronted with fundamental scepticism on the part of consumers towards the sustainability actions they have taken. This highlights the need for credible sustainability communication and raises the question of how this can be effectively implemented by companies. Since the research discipline of neuromarketing has already revealed effective tools through the use of neuropsychological mechanisms, this master's thesis aims to examine an adaptation of these tools in the context of sustainability communication. Specifically, it examines the influence of colour design on the perception of sustainability campaigns in terms of credibility, image improvement and target group affiliation. To this end, a thorough review of the specialist literature and the current state of research forms a theoretical framework that looks at the two research disciplines of neuromarketing and sustainability communication. The neuropsychological mechanisms of implicit colour perception are explained and relevant studies on colour associations are presented, providing a well-founded overview of the current state of research and allowing hypotheses to be derived for the following empirical research. This uses a quantitative approach, which is implemented by means of an online survey. The evaluation of the data collected from 412 participants suggests that the influence of colour design on sustainability campaigns is generally not as great as assumed on the basis of the specialist literature reviewed. Nevertheless, the colours red and orange show significant influences, which, together with the rest of the study results, allow relevant recommendations for action to be made for the design of sustainability campaigns. The findings reveal relevant points of reference for further research, particularly with regard to the consideration of additional design elements and the timing of colour use as a design tool in the customer journey, in order to derive relevant implications for the challenges for companies outlined at the beginning.Masterarbeit Wien, Fachhochschule des BFI Wien 202
Beyond the deficit : the case for a European supranational investment fund
No full textThe European Union faces a persistent investment gap that undermines its capacity to respond to climate change, energy insecurity, technological dependence, and geopolitical risks. National efforts alone have proven insufficient, while the Stability and Growth Pact and related rules often discourage the long-term investments needed for competitiveness and cohesion. This thesis explores how a durable fiscal capacity at the European level could be established. It first examines the scale of investment needs in three strategic areas: rail infrastructure, energy systems and grids, and the secure supply of critical raw materials. It then assesses the EU’s legal and institutional framework, showing both the restrictive boundaries of the Treaties and the flexibilities revealed by instruments such as Next Generation EU and EIB-based structures. A comparative evaluation of three fund models indicates that while no design performs strongly across all criteria, an EIB/ECB-based approach offers the greatest financial capacity. To address concerns about legitimacy and feasibility, the thesis draws on lessons from international and national precedents in fund governance. In addition, a custom Stock-Flow-Consistent model is used to illustrate the core mechanics of endogenous money creation and sectoral balances. It shows how private credit expansion cannot generate lasting net wealth, and how public deficits provide the net financial assets that enable sustained growth. The study concludes that the most promising option is an EIB/ECB-based investment fund that issues common European bonds, purchased by the European Central Bank on secondary markets. Such a vehicle would combine large-scale and low-cost financing capacity with the ability to provide the Eurozone with a stable fiscal instrument to close its persistent investment gap.Masterarbeit Wien, Fachhochschule des BFI Wien 202
Employee perspective on Artificial Intelligence job replacement in the banking industry : Albanian banking system case study
No full textThis study explores how artificial intelligence is perceived as a potential disruptor of human jobs in the Albanian banking sector, drawing on insights from both supply side employees and demand side customers. The main research question is "What are the perceived risks of AI replacing human jobs in the Albanian banking sector from both employee and customer perspectives?". And the secondary is "Which demographic and attitudinal factors most strongly predict Albanian banking employees’ belief that AI will replace human jobs?" To answer this questions a mixed-methods approach was employed, combining both survey and open-ended responses.
A multiple linear regression model was used to analyze the factors influencing employees’ belief that AI will replace physical workers. The model explains 84% of the variance. Results confirmed the main predictors of the dependent variable including age (particularly those aged 46–60), awareness of AI ethics, perceived extent of AI use in banking, and attitudes toward AI’s role in enhancing trust and transparency. Interestingly, those who found AI difficult to use were less likely to anticipate job displacement. This suggests that unfamiliarity may lead to underestimating its capabilities. In addition, this linear regression brings up a paradox. Some employees fear being replaced. However, they simultaneously trust AI to improve transparency. From the customer perspective, although many acknowledge improvements in efficiency and security through AI-enabled services, a significant portion still prefers human interaction especially in complex or trust-sensitive transactions.Masterarbeit Wien, Fachhochschule des BFI Wien 202
Working paper series by the University of Applied Sciences bfi Vienna / Maßnahmen zur Entwicklung eines Digital Mindset : eine kritische Reflexion
No full textDieses Working Paper dokumentiert die Entwicklung und Erprobung von Maßnahmen zur Förderung eines Digital Mindset. Ausgangspunkt war die Erarbeitung eines theoretischen Rahmens, der Konzepte wie Belief Formation, Growth und Stress Mindset sowie Aspekte von Technologieakzeptanz und psychologischem Wohlbefinden integriert. Darauf aufbauend wurde ein Maßnahmenkatalog mit mehr als 40 Einträgen entwickelt, die nach psychologischen Konstrukten, organisationalen Ebenen und Interventionsarten systematisiert und mit gängigen Change-Management-Phasen in Beziehung gesetzt wurden. Die Maßnahmen wurden anschließend in Workshops mit Unternehmenspartner:innen erprobt und gemeinsam mit den Teilnehmenden reflektiert. Die Ergebnisse verdeutlichen sowohl Potenziale als auch Herausforderungen der Umsetzung: Die Heterogenität der Belegschaften, strukturelle Rahmenbedingungen wie Zeit und Ressourcen sowie die Rolle von Führungskräften erwiesen sich als zentrale Einflussfaktoren. Das Paper schließt mit einer kritischen Reflexion und zeigt Ansatzpunkte für die Weiterentwicklung praxisnaher Mindset-Interventionen auf.Bitte wählen Call 30-20 Digital Mindse
Impact of artificial intelligence on human resources practices in banking
No full textThis thesis investigated the impact of AI on HR practices in the banking sector. Through secondary data analysis of industry reports, regulatory documents, and professional publications, this study examines AI tools' benefits, challenges, ethical implications, and adoption patterns, such as chatbots, predictive analytics, and automated recruitment systems across banking subsectors. The findings revealed significant improvements in recruitment efficiency, training effectiveness, and employee engagement from AI adoption. However, challenges have been identified, including algorithmic bias, data privacy concerns, cultural resistance, and the depersonalisation of HR interactions. This study highlights variations in AI adoption rates across retail, investment, commercial, and wealth management banking, driven by operational priorities, regulatory requirements, and cultural factors. Critical success factors for AI implementation in banking HR include usability, organisational support, cultural alignment, regulatory compliance, and stakeholder governance. This study interprets findings through the Technology Acceptance Model, Human Capital Theory, Social Exchange Theory, and Diffusion of Innovations Theory, providing a theoretical foundation for understanding AI's impact on HR practices. This thesis contributes to the literature by addressing research gaps in the banking sector and analysing technological, organisational, and human factors shaping AI adoption. Practical recommendations are provided to HR professionals, bank managers, and policymakers to guide ethical and strategic AI integration, ensuring compliance, workforce development, and employee trust. The study concludes by emphasising AI's transformative potential in redefining HR's role as a strategic partner driving digital transformation while balancing efficiency gains with human-centric values and governance frameworks.Masterarbeit Wien, Fachhochschule des BFI Wien 202
Arbeitszeitverkürzung im Gesundheitswesen – Einstellung zu Arbeitszeitanpassung im niedergelassenen Bereich und Spitälern Wiens
No full textDie Gestaltung der Arbeitszeit im Gesundheitswesen ist ein zentrales Thema in der aktuellen Arbeitsmarktforschung. Während andere Branchen bereits erfolgreiche Modelle zur Arbeitszeitverkürzung eingeführt haben, stehen Ärzt:innen und Pflegekräfte in Österreich weiterhin unter hoher Arbeitsbelastung. Besonders im Spitalsbereich sind lange Schichten, Bereitschaftsdienste und Überstunden weit verbreitet, was nicht nur die Gesundheit der Beschäftigten beeinträchtigt, sondern auch die Qualität der Patientenversorgung beeinflusst.
Diese Masterarbeit untersucht, inwiefern eine Reduktion der Arbeitszeit für medizinisches Personal realisierbar ist und welche Auswirkungen sie auf die Arbeitszufriedenheit sowie die Versorgungsqualität hätte. Hierzu werden historische Entwicklungen der Arbeitszeit im Gesundheitswesen, bestehende gesetzliche Rahmenbedingungen sowie internationale Best-Practice-Modelle aus Ländern wie Schweden oder Norwegen analysiert. Eine empirische Untersuchung in Form einer Befragung von Ärzt:innen und Pflegekräften in Wien gibt zudem Einblick in die Wahrnehmungen und Erwartungen der Beschäftigten hinsichtlich einer möglichen Arbeitszeitverkürzung.
Die Ergebnisse zeigen, dass eine deutliche Mehrheit der Befragten eine Verkürzung der Arbeitszeit befürwortet, da sie eine Verbesserung der Work-Life-Balance, eine Reduktion von Burnout-Risiken und eine höhere Attraktivität des Berufsfeldes erwarten. Gleichzeitig bestehen jedoch Herausforderungen in der Umsetzung, insbesondere hinsichtlich Personalbedarf und Kosten. Die Analyse internationaler Pilotprojekte zeigt, dass Arbeitszeitverkürzungen unter bestimmten Rahmenbedingungen erfolgreich realisiert werden können, jedoch eine sorgfältige Planung und ausreichende staatliche Unterstützung erfordern.
Die Arbeit liefert wertvolle Erkenntnisse für Entscheidungsträger:innen im Gesundheitswesen und zeigt auf, dass eine nachhaltige Verbesserung der Arbeitsbedingungen langfristig nicht nur dem Personal, sondern auch der Patientensicherheit zugutekommt.Masterarbeit Wien, Fachhochschule des BFI Wien 202
Geschäftsmodelle für eine zirkuläre Zukunft : die Rolle von Produkt-Service-Systemen (PSS) in der Transformation zur Kreislaufwirtschaft
No full textThe transition to a circular economy has become a fundamental strategy in addressing environmental challenges and achieving sustainable development. This thesis explores the transformative potential of Product-Service Systems (PSS) as innovative business model archetypes in driving this transition. By focusing on product-oriented, use-oriented, and result-oriented PSS models, the research investigates how businesses can transform towards a circular economy in changing the ownership of the products.
Through an in-depth analysis, the thesis identifies the critical enablers and barriers for the adoption of circular business models. Furthermore, it provides a comprehensive framework for companies to evaluate their readiness for circular transformation and offers strategic decision-making guidelines to navigate this complex shift. A practical so-called "Loop Approach" is introduced, outlining project phases for business model reinvention, which can guide enterprises in systematically implementing circular economy principles.
The research contributes to academic literature by bridging the gap between theoretical circular economy frameworks and their practical application in business contexts. By combining a robust theoretical foundation with empirical insights from industry leaders who have successfully transitioned to PSS models, the study not only expands the understanding of circular business models but also offers actionable pathways for companies to achieve long-term sustainability and competitive advantage. This thesis thus provides a valuable resource for academia and industry alike, emphasizing the critical role of business model innovation in fostering a circular economy.Masterarbeit Wien, Fachhochschule des BFI Wien 202