Sverige har under Covid-19 pandemin upplevt stora prisökning på bostadsrätter. Detta har skett till följd av förändring i vårt boende, då många har arbetat hemifrån och haft sina sociala liv förändrat av restriktionerna. därmed har folk spenderat mer tid hemma och samtidigt haft mer av sin budget att spendera på boende. Samt så har under denna period amorteringskravet slopats medans reporäntan varit vid noll.  Under dessa omständigheter har de faktorer som bestämmer värdet på våra bostäder förändrats. Denna studie menar att besvara dessa frågan om hur faktorerna för bostadspris har förändrats under pandemin, och vad det kan leda till i framtiden. Detta ska ske genom att intervjua mäklare om vad det har observerat och tror kommer hända framöver. I studien har intervjuerna analyserats och jämförts. Det kommer fram mixade åsikter och anmärkningar från mäklare. Efter att filtrerat bort det som kan vara lokala fenomen kan den troliga slutsatsen och prognosen för framtiden presenteras.  Arbetet kommer fram till att vi troligen kommer bevitta en avsäljning av bostadsrätter köpta under pandemin, då det var köpta med skenet av stora budgetar och låga avbetalningar. Dock kommer antagligen efterfrågan av större bostäder utanför Stockholms innerstad fortsätta att vara aktuellt för barnfamiljer. Då detta har varit mycket positivt i koppling till arbete på distans, som antagligen kommer fortsätta i större utsträckning i mixad form. Detta kan leda till bredare nyproduktion av större bostadsrätter i småstäder runt om Stockholms län. Samt kan även designen på lägenheterna komma att förändras då det blivit mer attraktivt med arbetsrum. / Sweden have during the Covid-19 pandemic experienced large increases in condominium prices. This has happened as a result of the change in our housing, as many have worked from home and had their social lives changed by the restrictions. Thus people have spent more time at home and at the same time had more of their budget to spend on living arrangements. During this period, the amortization requirement has been temporarily abolished while the repo rate has been around zero. During these circumstances, the factors that determine the value of our properties have changed. This study aims to answer the questions about how the factors of housing prices have changed during the pandemic, and what it may lead to in the future. This will be done by interviewing brokers about what they have observed and believe will happen in the future. In the study, the interviews were analyzed and compared. There are mixed opinions and remarks. After filtering out what may be local phenomena, a probable conclusion and forecast for the future can be presented. The work comes to the conclusion that we will probably witness a sale of condominiums bought during the pandemic, as it was bought with the temporarily larger budgets and low installments. However, the demand for larger homes outside Stockholm's inner city will probably continue to be relevant for families with children. As this has been very positive in connection with distance work, which will probably continue to a greater extent in mixed form. This can lead to broader new production of larger condominiums in small towns around Stockholm County. And the design of the apartments may also change as it becomes more attractive for workrooms.

La situación problemática por la que actualmente atravesamos a causa de la pandemia producida por el virus de la Covid-19 afectó la economía peruana, por lo que el sector financiero tuvo gran impacto en los créditos proporcionados a los clientes, por ende, se cree conveniente plantear una solución. Considerando que, la Superintendencia de Banca y Seguros emite resoluciones para la cancelación a través de las Reprogramación de Créditos, concediendo facilidades a los clientes, no obstante, ocasionó un desarreglo en los ingresos de las entidades financieras. En este caso, Edpyme Alternativa será el objeto de análisis para dar respuesta a la siguiente interrogante: ¿De qué manera la reprogramación de créditos constituye contingencia tributaria para Edpyme Alternativa? En relación al objetivo, la presente investigación busca determinar si las reprogramaciones de créditos anteriormente mencionadas, originan contingencias tributarias a causa de los ingresos revertidos como diferidos, ya que estos son registrados al momento de pago, por lo tanto, conllevan a un análisis reglamentado y explícito. Cabe recalcar que, para este análisis se tendrán en cuenta las operaciones de créditos por reprogramación, asimismo, la muestra utilizada fue cotizada por la Superintendencia de Banca y Seguros. Para finalizar, se elaboraron las conclusiones considerando los objetivos planteados, para posteriormente proponer recomendaciones a fin de mejorar las declaraciones del Impuesto a la Renta. / The problematic situation that we are currently going through due to the pandemic caused by the Covid-19 virus affected the Peruvian economy, so the financial sector had a great impact on the credits provided to customers, therefore, it is considered convenient to propose a solution. Considering that, the Superintendency of Banking and Insurance issues resolutions for cancellation through credit rescheduling, granting facilities to customers, however, it caused a disruption in the income of financial institutions. In this case, Edpyme Alternativa will be the object of analysis to answer the following question: How does the rescheduling of credits constitute a tax contingency for Edpyme Alternativa? In relation to the objective, the present investigation seeks to determine if the rescheduling of credits mentioned above, originate tax contingencies due to the income reverted as deferred, since these are registered at the time of payment, therefore, they lead to a regulated and explicit analysis. It should be noted that, for this analysis, credit operations by reprogramming will be taken into account, and the sample used was quoted by the Superintendency of Banking and Insurance. Finally, the conclusions were drawn up considering the objectives set, to subsequently propose recommendations in order to improve the Income Tax returns.

This research investigates existing and new HR practices that have impacted public health employee retention in Saudi Arabia during the COVID-19 pandemic. It builds on social support theory and social exchange theory to better understand the relationships between HR practices and retention, and uses quantitative methods to examine the hypotheses based on a conceptual framework. While OLS regression is employed to analyze the relationships between HR practices and retention, path analysis (bootstrapping) is used to examine the mediator variable. Based on 417 valid questionnaires distributed to public health employees in Saudi Arabia's central, western, and eastern regions, the analysis illustrates that while training and emphasis on work-life-balance as existing HR practices had a positive effect on retention, social support (supervisory support) and promotion of mental well-being as new HR practices also had a positive effect on retention during the COVID-19 pandemic. However, the hypothesis that compensation and occupational health and safety would improve retention was not supported. These results indicate that financial benefits and providing safety materials did not lead to employee retention. Meanwhile, safety training programs, psychosocial support, and promotion of well-being have been essential HR practices during the pandemic. Regarding the mediation hypotheses, interestingly, the results show that organizational commitment has mediated relationships between safety training and mental (psychological) well-being on one hand and public health retention on the other during the pandemic.

This dissertation investigates videoconference technology adoption by aging-in-place organizations to facilitate the social engagement of older adults. It comprises three studies that examine the initiation and coordination of technology adoption by aging-in-place organizations and addresses the factors associated with successful adoption of relational videoconference technology by older adults. The first study is a systematic literature review exploring the role of aging-in-place organizations in social engagement of older adults through videoconference technology. The second study is a survey of adult relatives and friends of older adults regarding videoconference technology adoption by older adults during the COVID-19 pandemic and their experience with facilitating resources. It applies technology adoption theory and a structural equation model to characterize the role of aging-in-place organizations. The third study is a pilot test of a new online platform called Circular that is designed to support social engagement of older adults. Through these studies, this research extends the existing body of knowledge regarding modes to facilitate adoption of relational technology by older adults and to empower senior centers and other aging-in-place organizations as they seek to socially engage the aging members of their communities.

The Covid-19 pandemic influenced the world with quarantines, travel bans, social distancing, and much more. Most remarkably, it brought the economy to a steep recession with changes in customer behavior and shocks to the financial markets. Combined with this, sustainable and green investing have grown in importance for firms that aim to incorporate sustainable practices in their businesses. This thesis evaluates the relationship between ESG and financial performance for Swedish issued mutual funds in the periods before, during, and after the covid pandemic. To capture the returns this study uses the Sharpe ratio, which penalizes volatility in the turns of funds and outputs risk-adjusted returns. The findings of this thesis highlight the importance of integrating non-financial metrics into portfolio management. The results found evidence that there is a difference in the performance between the two fund portfolios. Furthermore, this study will investigate the impact ESG variables have on the risk-adjusted rate of return. The results were that there is no compelling evidence of ESG variables impacting the returns. Moreover, significant insights from this study can be made to the Modern Portfolio Theory and Stakeholder Theory. By using Modern Portfolio Theory as the governing theory, a theoretical discussion has been made about the relationship between green investments and financial performance in times of sound economic markets and under financial crisis. This study is a quantitative study that has adopted the deduction approach. The authors of this thesis have retrieved 2 different portfolios, ESG and non-ESG, and compared the two groups against each other. 3 different periods have also been identified in the thesis: pre, during, and post Covid. The performance of the two portfolios has been examined during the three different stages to see how they have performed with hopes of finding empirical evidence that investing in ESG practices really is profitable. Statistical models such as OLS, heteroskedasticity, and more have been used in the study with the aim of helping the authors reach a conclusion.

Three essays in this dissertation explore the behavior of individuals in response to the housing crisis and its consequences, and the impact of the pandemic on the short-term rental markets. The first essay examines the economic outcomes of young people who have returned to their parents' home, using data from 2003-2017 waves of the National Longitudinal Survey of Youth 1997 Cohort (NLSY 97). The economic outcomes of boomerang movers did not improve compared to the period of independent living, and the income gap with young people who remained independent widened. The residential movement of young people who make boomerang moves has an impact on their income, but this effect is short-lived. Going back to a parental house changes the region and urban form significantly, and movement of urban form from the central city to the suburban and from the suburban to out of the MSA has a negative impact on income. Findings from the study suggest implications. First, more affordable housing should be provided to reduce boomerang moves. Second, ways to increase job opportunities should be explored to reduce the short-term negative impact of boomerang move. Finally, education and vocational training opportunities must be increased to close the income gap among young people. The second essay seeks to answer the following questions through the experiences of individual households due to the foreclosure. First, did foreclosed households regain homeownership? Second, is there a relationship between socio-demographic characteristics of foreclosed household and regaining homeownership? Third, where do homeowners who have lost their homes migrate? Finally, what characteristics of the neighborhood help foreclosed households recover? While previous studies have focused on the resilience of housing markets and regions, this study explores the link between regional characteristics and individual household recovery. The recovery of financially disadvantaged households is an important issue for communities and states. Identifying the mechanism that is responsible for household recovery has implications for implementing programs to aid household recovery. This study primarily relies on the 2005 -2019 Panel Study of Income Dynamics (PSID). Since 2009, PSID has added survey questions about foreclosure; Whether a foreclosure process has begun, the year and month of the start, the result of the process, and whether a foreclosed home is a primary residence. The findings of this study suggest that the government's recovery assistance program should aim to support relocation to areas with lower poverty rates and higher job and educational opportunities. The final essay explores changes in short-term rentals resulting from the COVID-19 pandemic. To identify the impact of the COVID-19 pandemic, this study uses New York City's Airbnb listing data from Inside Airbnb (IA), as well as supplemental data such as American Community Survey (ACS) data. Change in the number of STRs is divided into (1) the number of units left the platform and (2) the number of new units. The former relates to the survival of existing STR units and, the latter to the location choice of new units. The results show that the impact of several variables on survival and generation mechanisms changed since the COVID-19 pandemic. Since the survival mechanism and the generation mechanism of short-term rentals are different, they should be considered separately in regulating the STR to stabilize local housing markets. / Doctor of Philosophy / Although research has been conducted on the housing crisis and recovery of the housing market, there are still unanswered questions from two aspects. First, have the individuals affected by the crisis recovered? Were the individual decisions in response to the crisis effective? Second, how has the new crisis caused by the COVID-19 pandemic impacted the housing market? Are different characteristics observed from previous housing crises? While the evidence is reported that the relationship between the new crisis and housing demand has changed, the impact of the pandemic on contemporary housing crises such as gentrification and reduced housing stock is unknown. This dissertation explores the trajectories of individual behavior in the housing market, using various data sources and methodologies. Of the three essays in this dissertation, the first two essays explore the behavior of individuals in response to the housing crisis and its consequences, and the final essay explores the impact of the pandemic on the short-term rental markets. The first essay investigates the economic outcomes of young people who return to their parental homes after periods of independent living using NLSY97 data. The second essay investigates the relationship between neighborhoods and the economic recovery of households using Panel Study of Income Dynamics. The third essay explores changes in the survival and generation mechanism of Airbnb units associated with the COVID-19 pandemic using New York City's Airbnb listing data. The results of each study commonly lead to the conclusion that housing affordability should be improved. It also suggests that more affordable housing should be provided in areas of greater opportunities. This dissertation ultimately contributes to identifying individuals at risk from external shocks and suggesting goals and strategies for a healthy housing market.

The disproportionate burden of covid-19 pandemic on racialized groups in developed countries has made socio-political and socio-economic inequalities even more apparent. This thesis utilizes critical race thoery (CRT), framing theory and the ”What’s the ’problem’ represented to be?”-approach to conduct a critical analysis of how the representation of the underlying causes of racial disparities in covid-19 mortality framed by the Swedish Public Health Agency. The published report on migrants and covid-19 ”Migrants and COVID-19 – Confirmed cases, ICU-cases and mortality from 13 March 2020 to 15 February 2021 among foreign-born in Sweden” is analyzed through qualitative content analysis. In the report, the Swedish Public Health Agency analyzes underlying causes to differences of covid-19 outcome based on country of birth, which suggests that the population born in other countries is affected by the covid-19 more than the population born in Sweden. The content analysis of the official document on foreign-borns and covid-19 mortality, released by the Swedish Public Health agency, suggests that the agency has represented the underlying causes of racial disparities in covid-19 mortality in Sweden with a socio-economic inequality frame, and from a CRT perspective, the representation is guided by colorblind ideology that does not problematize the role of racism in the society. The knowledge produced in this thesis aims to contribute to the field of CRT studies in Sweden with empirical knowledge about problematization of the covid-19 pandemic outcomes in Sweden

Background: The status of Safety Management is highly relevant to evaluate an organization’s ability to deal with unexpected events or errors, especially in times of crisis. However, it remains unclear to what extent Safety Management was developed and suffciently implemented within the healthcare system during the COVID-19 pandemic. Providing insights of potential for improvement is expected to be directional for ongoing Safety Management efforts, in times of crisis and beyond. Method: A nationwide survey study was conducted among healthcare professionals and auxiliary staff on German Intensive Care Units (ICUs) evaluating their experiences during the first wave of the COVID-19 pandemic. Error Management and Patient Safety Culture (PSC) measures served to operationalize Safety Management. Data were analyzed descriptively and by using quantitative content analysis (QCA). Results: Results for n = 588 participants from 53 hospitals show that there is a gap between errors occurred, reported, documented, and addressed. QCA revealed that low quality of safety culture (27.8%) was the most mentioned reason for errors not being addressed. Overall, ratings of PSC ranged from 26.7 to 57.9% positive response with Staffng being the worst and Teamwork Within Units being the best rated dimension. While assessments showed a similar pattern, medical staff rated PSC on ICUs more positively in comparison to nursing staff. Conclusion: The status-analysis of Safety Management in times of crisis revealed relevant potential for improvement. Human Factor plays a crucial role in the occurrence and the way errors are dealt with on ICUs, but systemic factors should not be underestimated. Further intensified efforts specifically in the fields of staffng and error reporting, documentation and communication are needed to improve Safety Management on ICUs. These findingsmight also be applicable across nations and sectors beyond the medical field.

This study investigates the effects of the switch to online instruction in higher education in Sri Lanka after the COVID-19 outbreak. The study examines different aspects of the move to online education using a mixed-methods methodology that combines quantitative analysis of student satisfaction surveys and qualitative analysis of educator interviews. Qualitative study highlights the difficulties educators have in adjusting to digital platforms, the methods they use to improve student learning outcomes, and the advantages and disadvantages they see in online learning. A quantitative analysis looks at how satisfied students are with their online learning experiences and identifies the main variables that affect their engagement and academic success. For online education to be as effective as possible, the results highlight the necessity of continuous professional development for teachers, fair access to technology for students, and creative pedagogical strategies. In the context of post-pandemic higher education in Sri Lanka, the study adds to the body of literature by providing insights into the intricate interactions among technology, pedagogy, and social behaviors. Future study should focus on comparative evaluations of various online learning platforms, long-term studies to evaluate the effects of online learning, and examinations of challenges related to inclusion and digital equity.

In marketing and other social sciences, researchers often use field data to empirically study how people make decisions in naturalistic environments. There are numerous theoretical and practical challenges to doing so, and in this dissertation, I propose methodological approaches to address two such challenges. First, people often make complex decisions that are described in terms of high-dimensional or unstructured variables (e.g., writing text or choosing an assortment from a large set of options) which are difficult to analyze relative to simpler decisions (e.g., binary choices). Second, when analyzing how people's decisions are affected by a major event (e.g., regulatory changes or a global pandemic), events often affect a large population of interest simultaneously, making it difficult to assess the impact of the event relative to a counterfactual where the event did not occur. In Chapter 1, I address the first challenge in the context of non-cooperative games. I develop a novel neural network architecture that enables behavioral analysis of complex games by estimating a game's payoff structure (e.g., win probabilities between pairs of actions) while simultaneously mapping agent actions to a lower-dimensional latent space that encodes strategic similarities between actions in a smooth, linear manner. I apply my method to analyze a unique dataset of over 11 million matches played in a competitive video game with a large array of actions and complex strategic interactions. I find that players select actions that counterfactually would have performed better against recent opponents, demonstrating model-based reasoning. Still, players overrely on simple heuristics relative to model-based reasoning to an extent that is similar to findings reported in lab settings. I find that noisy and biased decision-making leads to frequent selection of suboptimal actions, which corresponds to lower player engagement. This demonstrates the limits of player sophistication when making complex competitive decisions and suggests that platforms hosting competitions may benefit from interventions that enable players to improve their decision-making. In Chapter 2, I address the second challenge, proposing a general and flexible methodology for inferring the time-varying effects of a discrete event on consumer behavior when the event spans the target population being analyzed, such that there is no contemporaneous "control group" and/or it is not possible to measure treatment status. I achieve identification by exploiting the empirical regularity of customer spending patterns across cohorts (i.e., groups of customers who adopted the same product or service at different times), comparing purchasing behavior across cohorts who were affected by the event at different points in their tenure. My method applies nonparametric age-period-cohort (APC) models, commonly used in sociology but with limited adoption in marketing, in conjunction with a predictive model of the counterfactual no-event baseline (i.e., an event study model). I use this method to infer how the COVID-19 pandemic has affected 12 online and offline consumption categories. My results suggest that the pandemic initially drove significant spending lifts at e-commerce businesses at the expense of brick-and-mortar alternatives. After two years, however, these changes have largely reverted. I observe significant heterogeneity across categories, with more persistent changes in subscription-based categories and more transient changes in categories based on discretionary purchases, especially those of durable goods.