Browsing by Author "Segerstedt, Clara"

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Income recovery in urban and rural areas in Columbia
(2017-07-03) Hamp, Linda; Segerstedt, Clara; University of Gothenburg/Department of Economics; Göteborgs universitet/Institutionen för nationalekonomi med statistik
This thesis investigates whether the household income recovery after a negative income shock, caused by a health or death shock, differs between urban and rural areas in Colombia. The hypothesis is that urban areas are financially worse off compared to rural areas after a shock due to differences in availability of formal and informal insurances. Uninsured households in urban areas are not covered by either a formal or informal insurance which thus makes them worse off compared to their rural counterpart. By using linear OLS regressions and the difference-in-difference-in-differences identification strategy this thesis was able to confirm the research question that there is a statistically significant difference in income recovery between urban and rural households, between those affected and not affected by the shock, before and after the shock occurred. The results also seem to confirm the hypothesis due to the insufficient performance of formal insurances in urban areas. This because the findings suggest that formal insurances are unable to compensate the loss of the informal insurance system as they cannot counteract the negative impact of the income shock. The results also show that regardless of area, poor households are more likely to experience a shock compared to wealthy households.
Public security and methods of government surveillance- An experimental approach to how public approval is shaped by a perceived threat
(2017-09-08) Segerstedt, Clara; Göteborgs universitet/Statsvetenskapliga institutionen; University of Gothenburg/Department of Political Science
The study of government surveillance is continually important as new policies are made or the extent of the surveillance leaked to the public. Earlier research has found that there is a relationship between people’s perception of a threat to public security with their approval of such government surveillance. My study intends to answer how and in what way the threat is related to approval rates. I present two separate arguments to this original relationship. One, that the relationship is moderated through geographical proximity where smaller distances between the threat and respondent yield higher approval rates. Two, that the relationship is mediated through interpersonal trust or governmental trust which has a negative effect on the relationship. Different from most surveillance studies this paper operationalizes the threat as organized sexual assaults rather than terrorism which I argue is important as terrorism is a very unlikely event. By conducting an experiment this paper indicates that geographical proximity does not yield the predicted results. I was unable to find the relationship between threat and approval rates and thus unable to test the mediators. This suggests that the non- terror threat is not important for the study. Replications of the experiment are needed to validate and generalize the results.
Understanding The Business Value Of Customer Data From Connected Services - An exploratory case study of what business value an emerging automotive OEM can create from customer data generated by connected services
(2021-07-09) Segerstedt, Clara; Svedberg, Jessica; University of Gothenburg/Graduate School; Göteborgs universitet/Graduate School
The rapid development of connectivity accelerated by a myriad of emerging technologies contribute to an ever-growing volume of data in which companies have realized the need for, and value of, becoming data-driven. Data, and more specifically, customer data, is thus a promising area for transforming insights into actions which identifies new value creation opportunities to enhance business performance. In the automotive industry, being in an era of accelerated digital transformation, the number of connected cars and its associated data is growing exponentially. Hence, turning customer data into valuable insights is key to successfully withstand competition and changing customer preferences. However, how automotive OEMs can leverage these developments have previously been unclear. Through an exploratory single-case study, this thesis therefore shows what business value can be created by customer data from connected services and its associated challenges and risks. This was operationalized through semi-structured interviews with internal respondents at the case company and external experts within academia, consultancy firms, and other automotive companies. The empirical findings were analyzed iteratively through themes found in previous literature to highlight similarities and differences between various views. Through the analysis process, the findings were reduced to four main value creation use cases; personalization, service innovation, decision-making, and data monetization, in which the combination of internal and external data is important. These value creation use cases create business value for a company in terms of enhancing and differentiating the customer experience, thus improving customer satisfaction and loyalty, leading to long-term profitability if managed successfully. Subsequently, four main challenges and risks were identified; privacy concerns and providing value to customers, data collection and analysis, connected service development and adoption, and creating a sustainable competitive advantage.