@article{KrasnovaVeltriElingetal.2017,
  author    = {Krasnova, Hanna and Veltri, Natasha F. and Eling, Nicole and Buxmann, Peter},
  title     = {Why men and women continue to use social networking sites},
  series = {The journal of strategic information systems : incorporating International Information Systems},
  volume    = {26},
  journal   = {The journal of strategic information systems : incorporating International Information Systems},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0963-8687},
  doi       = {10.1016/j.jsis.2017.01.004},
  pages     = {261 -- 284},
  year      = {2017},
  abstract  = {Organizations increasingly use social media and especially social networking sites (SNS) to support their marketing agenda, enhance collaboration, and develop new capabilities. However, the success of SNS initiatives is largely dependent on sustainable user participation. In this study, we argue that the continuance intentions of users may be gender sensitive. To theorize and investigate gender differences in the determinants of continuance intentions, this study draws on the expectation-confirmation model, the uses and gratification theory, as well as the self-construal theory and its extensions. Our survey of 488 users shows that while both men and women are motivated by the ability to self enhance, there are some gender differences. Specifically, while women are mainly driven by relational uses, such as maintaining close ties and getting access to social information on close and distant networks, men base their continuance intentions on their ability to gain information of a general nature. Our research makes several contributions to the discourse in strategic information systems literature concerning the use of social media by individuals and organizations. Theoretically, it expands the understanding of the phenomenon of continuance intentions and specifically the role of the gender differences in its determinants. On a practical level, it delivers insights for SNS providers and marketers into how satisfaction and continuance intentions of male and female SNS users can be differentially promoted. Furthermore, as organizations increasingly rely on corporate social networks to foster collaboration and innovation, our insights deliver initial recommendations on how organizational social media initiatives can be supported with regard to gender-based differences.},
  language  = {en}
}
@article{SchosserStroebele2019,
  author    = {Schosser, Josef and Str{\"o}bele, Heiko},
  title     = {What is the value of Facebook?},
  series = {Journal of risk finance},
  volume    = {20},
  journal   = {Journal of risk finance},
  number    = {3},
  publisher = {Emerald Group Publishing Limited},
  address   = {Bingley},
  issn      = {1526-5943},
  doi       = {10.1108/JRF-05-2018-0069},
  pages     = {267 -- 290},
  year      = {2019},
  abstract  = {On May 17, 2012, the social networking company Facebook Inc. fixes its initial public offering (IPO) price at \$38.00 a share. Over the next couple of months, contrary to expectations raised by previous IPOs, the stock price crashes more than 50 per cent. Immediately, the question arises whether the issuer's or the stock market's pricing of the share are in line with the firm's fundamentals. Thus, the purpose of this paper is to determine the company value in close proximity to the date of IPO.},
  language  = {en}
}
@incollection{Tjaden2024,
  author    = {Tjaden, Jasper},
  title     = {Social media data and migration research},
  series = {How to do migration research : how to research guides},
  booktitle = {How to do migration research : how to research guides},
  editor    = {Zapata-Barrero, Ricard and Vintila, Daniela},
  publisher = {Edward Elgar Publishing},
  address   = {Cheltenham, UK},
  isbn      = {9781035306855},
  doi       = {10.4337/9781035306855.00023},
  pages     = {116 -- 124},
  year      = {2024},
  abstract  = {In 2022, there were 4.62 billion social media users worldwide. Social media generates a wealth of data which migration scholars have recently started to explore in pursuit of a variety of methodological and thematic research questions. Scholars use social media data to estimate migration stocks, forecast migration flows, or recruit migrants for targeted online surveys. Social media has also been used to understand how migrants get information about their planned journeys and destination countries, how they organize and mobilize online, how migration issues are politicized online, and how migrants integrate culturally into destination countries by sharing common interests. While social media data drives innovative research, it also poses severe challenges regarding data privacy, data protection, and methodological questions relating to external validity. In this chapter, I briefly introduce various strands of migration research using social media data and discuss the advantages, disadvantages, and opportunities.},
  language  = {en}
}
@article{TjadenSeutheWeinert2024,
  author    = {Tjaden, Jasper and Seuthe, Miriam and Weinert, Sebastian},
  title     = {Recruiting refugees to reduce labour shortages in health care professions},
  series = {Human resources for health},
  volume    = {22},
  journal   = {Human resources for health},
  publisher = {Biomed Central},
  address   = {London},
  issn      = {1478-4491},
  doi       = {10.1186/s12960-024-00933-w},
  pages     = {1 -- 9},
  year      = {2024},
  abstract  = {Background Many high-income countries are grappling with severe labour shortages in the healthcare sector. Refugees and recent migrants present a potential pool for staff recruitment due to their higher unemployment rates, younger age, and lower average educational attainment compared to the host society's labour force. Despite this, refugees and recent migrants, often possessing limited language skills in the destination country, are frequently excluded from traditional recruitment campaigns conducted solely in the host country's language. Even those with intermediate language skills may feel excluded, as destination-country language advertisements are perceived as targeting only native speakers. This study experimentally assesses the effectiveness of a recruitment campaign for nursing positions in a German care facility, specifically targeting Arabic and Ukrainian speakers through Facebook advertisements. Methods We employ an experimental design (AB test) approximating a randomized controlled trial, utilizing Facebook as the delivery platform. We compare job advertisements for nursing positions in the native languages of Arabic and Ukrainian speakers (treatment) with the same advertisements displayed in German (control) for the same target group in the context of a real recruitment campaign for nursing jobs in Berlin, Germany. Our evaluation includes comparing link click rates, visits to the recruitment website, initiated applications, and completed applications, along with the unit cost of these indicators. We assess statistical significance in group differences using the Chi-squared test. Results We find that recruitment efforts in the origin language were 5.6 times (Arabic speakers) and 1.9 times (Ukrainian speakers) more effective in initiating nursing job applications compared to the standard model of German-only advertisements among recent migrants and refugees. Overall, targeting refugees and recent migrants was 2.4 (Ukrainians) and 10.8 (Arabic) times cheaper than targeting the reference group of German speakers indicating higher interest among these groups. Conclusions The results underscore the substantial benefits for employers in utilizing targeted recruitment via social media aimed at foreign-language communities within the country. This strategy, which is low-cost and low effort compared to recruiting abroad or investing in digitalization, has the potential for broad applicability in numerous high-income countries with sizable migrant communities. Increased employment rates among underemployed refugee and migrant communities, in turn, contribute to reducing poverty, social exclusion, public expenditure, and foster greater acceptance of newcomers within the receiving society.},
  language  = {en}
}
@article{WenningerCheungKrasnova2019,
  author    = {Wenninger, Helena Eva and Cheung, Christy M. K. and Krasnova, Hanna},
  title     = {College-aged users behavioral strategies to reduce envy on social networking sites},
  series = {Computers in human behavior},
  volume    = {97},
  journal   = {Computers in human behavior},
  publisher = {Elsevier},
  address   = {Oxford},
  issn      = {0747-5632},
  doi       = {10.1016/j.chb.2019.02.025},
  pages     = {10 -- 23},
  year      = {2019},
  abstract  = {Social networking sites (SNSs) are central to social interaction and information sharing in the digital age. However, consuming social information on SNSs invites social upward comparisons with highly socially desirable profile representations, which easily elicits envy in users and leads to unfavorable behaviors on SNSs. This in turn can erode the subjective well-being of users and the sustainability of the SNS platform. Therefore, this paper seeks to develop a better theoretical understanding of how users respond to envy on SNSs. We review literature on envy in offline interactions to derive three behavioral strategies to reduce envy, which we then transfer to the SNS context (self-enhancement, gossiping, and discontinuous intention). Further, we propose a research model and examine how culture, specifically individualism-collectivism, affects the relationship between envy on an SNS and the three strategies. We empirically test the variance-based structural equation model through survey data collected of Facebook users from Germany and Hong Kong. Our findings provide first insights into the link between envy on SNSs, related behavioral strategies and the moderating role of individualism for self-enhancement.},
  language  = {en}
}