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Congratulations to Katarina Mårtensson who has been awarded the honorable Spirit of ICED Award
Paola Derudas has been awarded the Karleby Scholarship!
Marshall Machingauta has been awarded the Elsevier poster prize at the ECIS conference
Marshall Machingauta has been awarded the Elsevier poster prize at the ECIS conference
Very high quality! The Master’s Programme in International Human Rights Law has been evaluated - The
Marshall Machingauta has been awarded the Elsevier poster prize at the ECIS conference
Erik Wahlén has been awarded a consolidator grant 2020 from the Swedish Research Council
Open-source Branding: How consumers develop a Corporate Brand Image through Instagram- An Exploratory Single-Case Study
Title: Open-source Branding: How consumers develop a Corporate Brand Image through Instagram- An Exploratory Single-Case Study. Research problem: The research problem originates from the shifted power balance through the rise of social media. Whereby, organizational control of the brand image is starting to fade. Thus, further research is needed, whether an open-source branding strategy truly aff
“It has been a wild ride with many challenges and valuable lessons” – The Alumni Network Blog
The Business Cycle Has Not Been Dampened: A Reply
The business cycle has not been dampened: The case of Sweden and the United States 1873-1988
Your post has not been uploaded. Try again?: A Study on the loss of social media during incarceration
This thesis examines the loss of social media during incarceration and how incarcerated individuals reflect on the abrupt absence of social media in their lives. Based upon eight interviews with previously incarcerated individuals, this thesis studies the emotional process incarcerated people go through when doing identity work. Building upon Erving Goffman’s framework of identity and self-present
Jakten på en framgångsrik relation - En studie om relationsskapande och relationshantering mellan företag och konsument i sociala medier
Denna uppsats behandlar relationsskapande och relationshantering mellan företag och konsument på sociala medier. Detta baseras på att många företag idag har en föreställning om att sociala medier automatiskt bidrar till positiva resultat och starka relationer med konsumenter. Samtidigt finns det lite forskning kring dess faktiska utfall. Därmed är syftet att fylla detta kunskapsgap genom att analyThis thesis centres around relationship creation and relationship management between companies and consumers on social media. Today, a vast amount of companies have the idea that social media automatically contributes to positive results and strong relationships with consumers. However, there are still limited research about social media and its actual effects. Therefore, the aim of this thesis is
Has the Riksbank Been Reacting to Asset Prices?
This study analyses the interest rate setting policy of the Swedish central bank, the Riksbank. In particular, the paper addresses whether or not the Riksbank reacts to deviations in asset prices from trend levels when setting interest rates. To investigate these issues a modified version of the Taylor rule is used, and is adjusted to reflect an appropriate inflation targeting horizon and augmente
Has there always been a diplomatic culture?
Has Archaeology never been so much fun?
Marshall Ringisayi Machingauta, PHD STUDENT at our division, HAS FOR 2023 BEEN awarded the Sahlberg
Constructing Reputation Through Crisis Silence: A Content Analysis of Northvolt AB's Social Media Crisis Communication
Northvolt AB is a Swedish sustainable battery producer with a passion for green energy. During 2024, a series of crisis events affected the organization, posing threats to its reputation. The purpose of this study is therefore to investigate how Northvolt during an active crisis phase implemented strategic communication in order to strengthen their image or reputation. Through coding of data, foll
Accurate prediction of B-form/A-form DNA conformation propensity from primary sequence : A machine learning and free energy handshake
DNA carries the genetic code of life, with different conformations associated with different biological functions. Predicting the conformation of DNA from its primary sequence, although desirable, is a challenging problem owing to the polymorphic nature of DNA. We have deployed a host of machine learning algorithms, including the popular state-of-the-art LightGBM (a gradient boosting model), for b
