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3. Managing innovation in agriculture through digital transformation : bachelor thesisMarija Misheva, 2025, diplomsko delo Ključne besede: digital transformation, digital agriculture, innovation management, precision agriculture, IoT, drones, employee adaptation, agri-tech
Objavljeno v RUP: 14.07.2025; Ogledov: 79; Prenosov: 0
 Celotno besedilo (837,20 KB) |
4. Making sense of the algorithm : perceptions of algorithmic management in location-based platform workBarbara Švagan, Suzana Laporšek, Ajda Fošner, Suzana Sedmak, Elizabeta Zirnstein, Ana Grdović Gnip, Klemen Širok, Igor Stubelj, 2025, objavljeni povzetek znanstvenega prispevka na konferenci Opis: This study explores how on-location platform workers perceive and interpret algorithmic management within digitally mediated labor environments. While platforms often present their algorithmic systems as neutral, objective, and designed for efficiency, workers frequently encounter them as opaque, inconsistent, and lacking in transparency. In the absence of clear communication about how decisions, such as task allocation, performance ratings, and disciplinary measures, are made, workers engage in a process of sensemaking and develop informal theories to explain how the system functions. These interpretations play a key role in shaping workers’ daily strategies and behaviors. Perceptions about what actions are rewarded or punished, such as logging in at certain times, consistently accepting tasks, or demonstrating specific behavioral patterns, influence how workers organize their availability, pace their work, and try to align with platform expectations. Even when these assumptions are speculative, they nonetheless produce real behavioral effects. In this way, algorithmic ambiguity becomes a powerful mechanism of indirect control. Workers begin to self-discipline based on presumed algorithmic preferences, even in the absence of formal rules or explicit feedback. This dynamic reinforces power asymmetries, as the platform retains control over decision making while minimizing accountability and managerial visibility. Drawing on existing empirical literature, this study argues that the power of algorithmic management lies not only in its ability to automate coordination and oversight, but also in the psychological and behavioral effects it produces through uncertainty. By centering the interpretations and practices of workers, the paper offers insight into the lived experience of platform work and the subtle, often invisible mechanisms through which control is exercised. This perspective contributes to a more nuanced understanding of algorithmic governance in the platform economy, emphasizing that platform power operates as much through worker perception as it does through code. Our study also highlights the need for further research into how such systems shape worker agency, motivation, and well-being.
Ključne besede: platform work, algorithmic management, job quality
Objavljeno v RUP: 01.07.2025; Ogledov: 163; Prenosov: 9
Celotno besedilo (613,32 KB) |
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6. Disaster nursing competencies in a time of global conflicts and climate crises : a cross-sectional survey studySabina Ličen, Mirko Prosen, 2025, izvirni znanstveni članek Opis: Aim The aim of this study was to explore the disaster-related nursing competencies among Slovenian nurses, focusing on core competencies, barriers to competency development and roles in disaster management. It also examined the predictors of these competencies, including participation in training, emergency drills, qualifications and leadership roles. Background Global conflicts and climate crises have increased the frequency and intensity of disasters and pose challenges to healthcare systems worldwide. Nurses play a critical role in disaster preparedness, response and recovery, yet their competencies are under-researched. Methods A descriptive cross-sectional study was conducted with 379 registered nurses using the Slovenian version of the Disaster Nursing Core Competencies Scale (Sl-DNCC). The analysis was performed using descriptive statistics, non-parametric tests and logistic regression to identify predictors of disaster nursing competencies. Results Nurses considered disaster-related core competencies to be moderately to very important. Statistically significant predictors of competencies included participation in training, frequency of emergency drills, possession of formal qualifications, and leadership roles. Barriers to developing competencies, such as limited resources and organisational support, were most prevalent among nurses with less experience. Engagement in disaster management was low, except for nurses with leadership positions or frequent participation in drills. Discussion These findings emphasise the importance of leadership roles, practical training and institutional support in enhancing nurses' disaster competencies. Removing barriers, such as limited training opportunities and resources, is critical to strengthening preparedness. Conclusion This study emphasises the need for targeted interventions, including a national competency framework and regular training on disaster management, to improve nursing preparedness in Slovenia. Implications for nursing and health policy Policymakers and healthcare organisations should prioritise investment in training infrastructure, interdisciplinary simulation and leadership development.
Ključne besede: disaster management, disaster nursing, nursing leadership, nursing policy and practice, Slovenia, nursing preparedness
Objavljeno v RUP: 19.06.2025; Ogledov: 204; Prenosov: 4
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