Browsing by Author "Nilsson, Viktor"

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Analysera mera! Hur fyra offentliga organisationer arbetar med analytisk HR
(2018-01-18) Nilsson, Viktor; Karlsson, Joacim; University of Gothenburg / Department of sociology and work science; Göteborgs universitet / / Institutionen för sociologi och arbetsvetenskap
Regarding the new management tool HR Analytics and the aim for HR to create value for organizations, our paper focuses on how to depict four government controlled organizations presumed work with HR Analytics. The study will also depict how the same four government controlled organizations are preparing for the new general data protection regulation (GDPR), which will replace the current law, PUL, in May 2018. The study was conducted by using semi-structured interviews to map out the four government controlled organizations work with HR data, strategic work and their preparation for the arrival of the new general data protection regulation. The result was conducted by using thematic analysis to organize the data from the interviews. Regarding the research about HR Analytics our study first describes HR metrics, Human Resource Information System, Human Capital Management and strategic work before describing HR Analytics itself. The reason for this is that to explain HR Analytics, it's crucial to describe its components first. Described research was then applied to the data from the interviews to examine if the four government controlled organizations was using HR Analytics. Theories about the role of HR and institutional theory is also processed in the study to add a framework that was applied to our analysis and discussion. In short summary, the study implies that all four government controlled organizations HR-departments work strategically but they experience obstacles in their HRIS (Human Resource Information System). Therefore, the HR-departments in this study lack the proper tools to utilize HR-analytics. The result of the study also establish that HR is ambivalent regarding strategic work and traditional HR-work. Finally, our study also establishes that the four govern controlled organizations and their preparations regarding the arrival of the new general data protection regulation is only in the start-up phase. Suggestions for future research is to follow the implementation of HR Analytics in other organizations and highlight depiction of its effect on HR. Also, future research may focus on the effects GDPR have on HR use of data.
Did the refugee crisis a ect local property prices? The case of temporary housing sites in Gothenburg.
(2017-07-28) Kjellander, Josef; Nilsson, Viktor; University of Gothenburg/Graduate School; Göteborgs universitet/Graduate School
We evaluate the property price development in neighborhoods surrounding temporary housing sites during "rumor phase" of construction. Property data from Booli.se and Lantmäteriet between 2014 - 2017 is used together with a simple hedonic pricing approach. We exploit the natural experiment setting of three simultaneous and unpredicted announced housing sites, targeting refugees, in Gothenburg and perform a difference-in-difference estimation to assess the effect. The results indicate that the single-family house market have been unaffected by the announcement while the market for apartments potentially have experienced a lower price development in areas surrounding the sites compared to the rest of Gothenburg. The results are however inconclusive and we highly encourage future research to replicate our study once the sites are up and running to evaluate the final effect as well as to identify the underlying determinants.
Processchemaläggare för mångkärniga processorer – Fördelning av minnesbelastning i NUMA-system
(2014-10-03) Edholm, Daniel; Löfgren, Anders; Nilsson, Viktor; Göteborgs universitet/Institutionen för data- och informationsteknik; University of Gothenburg/Department of Computer Science and Engineering
For systems with multicore processors contention for shared resources is a problem that occurs when several memory-intensive processes are executed in parallel within the same memory domain. This contention has a direct influence on the performance of the system and is a complex problem that has been recognized for a long time. An attractive and actively studied way to minimize this problem is by using a process scheduler adapted to allocate processor cores in a way such that contention for shared resources is minimized. With the introduction of multicore NUMA-systems (Non-Uniform Memory Access) the situation has become even more complex. In these systems the access time for processor cores to different memory domains vary depending on factors such as distance and load. Thus, the process scheduler also has to consider where the memory of each process is placed to minimize the distance and balance the load on each memory domain. This report presents a user-level process scheduler for a NUMA-system based on the multicore processor Tilera TILEPro64. The scheduler considers the load on each memory domain to guide the allocation of processor cores. The purpose is to spread the executing processes and thereby minimize memory access time. The results show that the scheduler achieves a small performance gain regarding execution time for several workloads. On the basis of these results the report discusses properties of the system and potential limitations in both the development environment and our implementation.
The impact of the announcement of temporary building sites for refugees on house prices in Gothenburg
(2018-02) Kjellander, Josef; Nilsson, Viktor; van Vuuren, Aico; Dept. of Economics, University of Gothenburg
We evaluate the price development of apartments in neighborhoods surrounding temporary housing for refugees using the unpredicted announcement of three building sites, targeting refugees, in Gothenburg. More in particular, we look at the price development in the year after the announcement. We use a causal outcome model that takes account of time and postal-code fixed effects and we define an area to be affected by the announcement based on walking distance. We find support for a small price effect.
Vilka faktorer förklarar kapitalstrukturen och hur deras påverkan förändrats under Covid-19? En kvantitativ studie av 214 bolag listade på Stockholmsbörsen
(2024-10-18) Badr, Helena; Nilsson, Viktor; University of Gothenburg/Department of Business Administration; Göteborgs universitet/Företagsekonomiska institutionen
Studien visar att flera faktorer har en signifikant påverkan på kapitalstrukturen för de undersökta företagen, både före och under Covid-19 pandemin. Analysen identifierade att lönsamhet, företagsstorlek, tillväxt, tillgångsstruktur, likviditet och risk alla spelade en viktig roll i hur företag strukturerade sin finansiering. Lönsamhet visade ett negativt samband med skuldsättning, vilket indikerar att lönsamma företag föredrar att använda interna medel i stället för att öka sina skulder. Detta resultat är förenligt med pecking order-teorin. Företagsstorlek hade ett positivt samband med både total och långfristig skuldsättning. Större företag har bättre möjligheter att utnyttja fördelarna med skuldfinansiering, såsom lägre transaktionskostnader, vilket stödjer trade-off teorin. Tillväxt visade ett negativt samband med skuldsättning. Snabbväxande företag tenderar att undvika skuld för att behålla finansiell flexibilitet och för att undvika konflikter mellan aktieägare och långivare. Företag med fler materiella tillgångar hade högre långfristig skuld och lägre kortfristig skuld. Likviditet hade ett negativt samband med skuldsättning, vilket innebär att företag med hög likviditet tenderar att använda mindre skuld. Slutligen visade risk ett positivt samband med skuldsättning. Under Covid-19 pandemin observerades en lägre genomsnittlig lönsamhet, men trots detta fanns det mer stöd för ett negativt samband mellan lönsamhet och skuldsättningen än före. Detta reflekterar företagens behov av att anpassa sina finansieringsstrategier i en osäker ekonomisk miljö. Resultaten stödde främst pecking order-teorin och trade-off teorin och visade på vikten av att förstå företagsspecifika faktorer för att förklara variationer i kapitalstrukturen. Studiens slutsats visar att de undersökta faktorerna spelar en betydande roll i att bestämma företagens kapitalstruktur, och att en extern påverkan som Covid-19 pandemin haft en viss effekt på dessa relationer. Studien bidrar till en djupare förståelse av hur ekonomiska kriser påverkar företags finansieringsstrategier.