@phdthesis{AbuJarour2021, author = {AbuJarour, Safa'a}, title = {Digital inclusion}, doi = {10.25932/publishup-51053}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-510535}, school = {Universit{\"a}t Potsdam}, pages = {217}, year = {2021}, abstract = {In this thesis, we tackle two social disruptions: recent refugee waves in Germany and the COVID-19 pandemic. We focus on the use of information and communication technology (ICT) as a key means of alleviating these disruptions and promoting social inclusion. As social disruptions typically lead to frustration and fragmentation, it is essential to ensure the social inclusion of individuals and societies during such times. In the context of the social inclusion of refugees, we focus on the Syrian refugees who arrived in Germany as of 2015, as they form a large and coherent refugee community. In particular, we address the role of ICTs in refugees' social inclusion and investigate how different ICTs (especially smartphones and social networks) can foster refugees' integration and social inclusion. In the context of the COVID-19 pandemic, we focus on the widespread unconventional working model of work from home (WFH). Our research here centers on the main constructs of WFH and the key differences in WFH experiences based on personal characteristics such as gender and parental status. We reveal novel insights through four well-established research methods: literature review, mixed methods, qualitative method, and quantitative method. The results of our research have been published in the form of eight articles in major information systems venues and journals. Key results from the refugee research stream include the following: Smartphones represent a central component of refugee ICT use; refugees view ICT as a source of information and power; the social connectedness of refugees is strongly correlated with their Internet use; refugees are not relying solely on traditional methods to learn the German language or pursue further education; the ability to use smartphones anytime and anywhere gives refugees an empowering feeling of global connectedness; and ICTs empower refugees on three levels (community participation, sense of control, and self-efficacy). Key insights from the COVID-19 WFH stream include: Gender and the presence of children under the age of 18 affect workers' control over their time, technology usefulness, and WFH conflicts, while not affecting their WFH attitudes; and both personal and technology-related factors affect an individual's attitude toward WFH and their productivity. Further insights are being gathered at the time of submitting this thesis. This thesis contributes to the discussion within the information systems community regarding how to use different ICT solutions to promote the social inclusion of refugees in their new communities and foster an inclusive society. It also adds to the growing body of research on COVID-19, in particular on the sudden workplace transformation to WFH. The insights gathered in this thesis reveal theoretical implications and future opportunities for research in the field of information systems, practical implications for relevant stakeholders, and social implications related to the refugee crisis and the COVID-19 pandemic that must be addressed.}, language = {en} } @article{HeinzelLiese2021, author = {Heinzel, Mirko Noa and Liese, Andrea}, title = {Expert authority and support for COVID-19 measures in Germany and the UK}, series = {West European politics}, journal = {West European politics}, publisher = {Taylor \& Francis}, address = {Abingdon}, issn = {0140-2382}, doi = {10.1080/01402382.2021.1873630}, pages = {1258 -- 1282}, year = {2021}, abstract = {During COVID-19, various public institutions tried to shape citizens' behaviour to slow the spread of the pandemic. How did their authority affect citizens' support of public measures taken to combat the spread of COVID-19? The article makes two contributions. First, it presents a novel conceptualisation of authority as a source heuristic. Second, it analyses the authority of four types of public institutions (health ministries, universities, public health agencies, the WHO) in two countries (Germany and the UK), drawing on novel data from a survey experiment conducted in May 2020. On average, institutional endorsements seem to have mattered little. However, there is an observable polarisation effect where citizens who ascribe much expertise to public institutions support COVID-19 measures more than the control group. Furthermore, those who ascribe little expertise support them less than the control group. Finally, neither perception of biases nor exposure to institutions in public debates seems consistently to affect their authority.}, language = {en} } @article{SteppertSteppertSterlaccietal.2021, author = {Steppert, Claus and Steppert, Isabel and Sterlacci, William and Bollinger, Thomas}, title = {Rapid detection of SARS-CoV-2 infection by multicapillary column coupled ion mobility spectrometry (MCC-IMS) of breath}, series = {Journal of breath research : volatiles for medical diagnosis ; official journal of the International Association for Breath Research (IABR) and the International Society for Breath Odor Research (ISBOR)}, volume = {15}, journal = {Journal of breath research : volatiles for medical diagnosis ; official journal of the International Association for Breath Research (IABR) and the International Society for Breath Odor Research (ISBOR)}, number = {2}, publisher = {IOP Publ. Ltd.}, address = {Bristol}, issn = {1752-7163}, doi = {10.1088/1752-7163/abe5ca}, pages = {8}, year = {2021}, abstract = {There is an urgent need for screening of patients with a communicable viral disease to cut infection chains. Recently, we demonstrated that ion mobility spectrometry coupled with a multicapillary column (MCC-IMS) is able to identify influenza-A infections in patients' breath. With a decreasing influenza epidemic and upcoming SARS-CoV-2 infections we proceeded further and analyzed patients with suspected SARS-CoV-2 infections. In this study, the nasal breath of 75 patients (34 male, 41 female, aged 64.4 +/- 15.4 years) was investigated by MCC-IMS for viral infections. Fourteen were positively diagnosed with influenza-A infection and sixteen with SARS-CoV-2 by reverse transcription polymerase chain reaction (RT-PCR) of nasopharyngeal swabs. In one patient RT-PCR was highly suspicious of SARS-CoV-2 but initially inconclusive. The remaining 44 patients served as controls. Breath fingerprints for specific infections were assessed by a combination of cluster analysis and multivariate statistics. There were no significant differences in gender or age according to the groups. In the cross validation of the discriminant analysis 72 of the 74 clearly defined patients could be correctly classified to the respective group. Even the inconclusive patient could be mapped to the SARS-CoV-2 group by applying the discrimination functions. Conclusion: SARS-CoV-2 infection and influenza-A infection can be detected with the help of MCC-IMS in breath in this pilot study. As this method provides a fast non-invasive diagnosis it should be further developed in a larger cohort for screening of communicable viral diseases. A validation study is ongoing during the second wave of COVID-19. Trial registration: ClinicalTrial.gov, NCT04282135 Registered 20 February 2020-Retrospectively registered,}, language = {en} } @article{HeckeFuhrWolfs2021, author = {Hecke, Steven van and Fuhr, Harald and Wolfs, Wouter}, title = {The politics of crisis management by regional and international organizations in fighting against a global pandemic}, series = {International review of administrative sciences : an international journal of comparative public administration}, volume = {87}, journal = {International review of administrative sciences : an international journal of comparative public administration}, number = {3}, publisher = {Sage}, address = {Los Angeles, Calif. [u.a.]}, issn = {0020-8523}, doi = {10.1177/0020852320984516}, pages = {672 -- 690}, year = {2021}, abstract = {Despite new challenges like climate change and digitalization, global and regional organizations recently went through turbulent times due to a lack of support from several of their member states. Next to this crisis of multilateralism, the COVID-19 pandemic now seems to question the added value of international organizations for addressing global governance issues more specifically. This article analyses this double challenge that several organizations are facing and compares their ways of managing the crisis by looking at their institutional and political context, their governance structure, and their behaviour during the pandemic until June 2020. More specifically, it will explain the different and fragmented responses of the World Health Organization, the European Union and the International Monetary Fund/World Bank. With the aim of understanding the old and new problems that these international organizations are trying to solve, this article argues that the level of autonomy vis-a-vis the member states is crucial for understanding the politics of crisis management.
Points for practitioners
As intergovernmental bodies, international organizations require authorization by their member states. Since they also need funding for their operations, different degrees of autonomy also matter for reacting to emerging challenges, such as the COVID-19 pandemic. The potential for international organizations is limited, though through proactive and bold initiatives, they can seize the opportunity of the crisis and partly overcome institutional and political constraints.}, language = {en} } @incollection{VladovaUllrichBenderetal.2021, author = {Vladova, Gergana and Ullrich, Andr{\´e} and Bender, Benedict and Gronau, Norbert}, title = {Yes, we can (?)}, series = {Technology and innovation in learning, teaching and education : second international conference, TECH-EDU 2020, Vila Real, Portugal, December 2-4, 2020 : proceedings}, booktitle = {Technology and innovation in learning, teaching and education : second international conference, TECH-EDU 2020, Vila Real, Portugal, December 2-4, 2020 : proceedings}, editor = {Reis, Ars{\´e}nio and Barroso, Jo{\~a}o and Lopes, J. Bernardino and Mikropoulos, Tassos and Fan, Chih-Wen}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-73987-4}, doi = {10.1007/978-3-030-73988-1_17}, pages = {225 -- 235}, year = {2021}, abstract = {The COVID-19 crisis has caused an extreme situation for higher education institutions around the world, where exclusively virtual teaching and learning has become obligatory rather than an additional supporting feature. This has created opportunities to explore the potential and limitations of virtual learning formats. This paper presents four theses on virtual classroom teaching and learning that are discussed critically. We use existing theoretical insights extended by empirical evidence from a survey of more than 850 students on acceptance, expectations, and attitudes regarding the positive and negative aspects of virtual teaching. The survey responses were gathered from students at different universities during the first completely digital semester (Spring-Summer 2020) in Germany. We discuss similarities and differences between the subjects being studied and highlight the advantages and disadvantages of virtual teaching and learning. Against the background of existing theory and the gathered data, we emphasize the importance of social interaction, the combination of different learning formats, and thus context-sensitive hybrid learning as the learning form of the future.}, language = {en} } @article{EngbertRabeKliegletal.2021, author = {Engbert, Ralf and Rabe, Maximilian Michael and Kliegl, Reinhold and Reich, Sebastian}, title = {Sequential data assimilation of the stochastic SEIR epidemic model for regional COVID-19 dynamics}, series = {Bulletin of mathematical biology : official journal of the Society for Mathematical Biology}, volume = {83}, journal = {Bulletin of mathematical biology : official journal of the Society for Mathematical Biology}, number = {1}, publisher = {Springer}, address = {New York}, issn = {0092-8240}, doi = {10.1007/s11538-020-00834-8}, pages = {16}, year = {2021}, abstract = {Newly emerging pandemics like COVID-19 call for predictive models to implement precisely tuned responses to limit their deep impact on society. Standard epidemic models provide a theoretically well-founded dynamical description of disease incidence. For COVID-19 with infectiousness peaking before and at symptom onset, the SEIR model explains the hidden build-up of exposed individuals which creates challenges for containment strategies. However, spatial heterogeneity raises questions about the adequacy of modeling epidemic outbreaks on the level of a whole country. Here, we show that by applying sequential data assimilation to the stochastic SEIR epidemic model, we can capture the dynamic behavior of outbreaks on a regional level. Regional modeling, with relatively low numbers of infected and demographic noise, accounts for both spatial heterogeneity and stochasticity. Based on adapted models, short-term predictions can be achieved. Thus, with the help of these sequential data assimilation methods, more realistic epidemic models are within reach.}, language = {en} } @misc{VladovaUllrichBenderetal.2021, author = {Vladova, Gergana and Ullrich, Andr{\´e} and Bender, Benedict and Gronau, Norbert}, title = {Students' Acceptance of Technology-Mediated Teaching - How It Was Influenced During the COVID-19 Pandemic in 2020: A Study From Germany}, series = {Postprints der Universit{\"a}t Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe}, issn = {1867-5808}, doi = {10.25932/publishup-52161}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-521615}, pages = {17}, year = {2021}, abstract = {In response to the impending spread of COVID-19, universities worldwide abruptly stopped face-to-face teaching and switched to technology-mediated teaching. As a result, the use of technology in the learning processes of students of different disciplines became essential and the only way to teach, communicate and collaborate for months. In this crisis context, we conducted a longitudinal study in four German universities, in which we collected a total of 875 responses from students of information systems and music and arts at four points in time during the spring-summer 2020 semester. Our study focused on (1) the students' acceptance of technology-mediated learning, (2) any change in this acceptance during the semester and (3) the differences in acceptance between the two disciplines. We applied the Technology Acceptance Model and were able to validate it for the extreme situation of the COVID-19 pandemic. We extended the model with three new variables (time flexibility, learning flexibility and social isolation) that influenced the construct of perceived usefulness. Furthermore, we detected differences between the disciplines and over time. In this paper, we present and discuss our study's results and derive short- and long-term implications for science and practice.}, language = {en} } @article{VladovaUllrichBenderetal.2021, author = {Vladova, Gergana and Ullrich, Andr{\´e} and Bender, Benedict and Gronau, Norbert}, title = {Students' acceptance of technology-mediated teaching - How it was influenced during the COVID-19 Pandemic in 2020}, series = {Frontiers in psychology / Frontiers Research Foundation}, volume = {12}, journal = {Frontiers in psychology / Frontiers Research Foundation}, publisher = {Frontiers Research Foundation}, address = {Lausanne}, issn = {1664-1078}, doi = {10.3389/fpsyg.2021.636086}, pages = {15}, year = {2021}, abstract = {In response to the impending spread of COVID-19, universities worldwide abruptly stopped face-to-face teaching and switched to technology-mediated teaching. As a result, the use of technology in the learning processes of students of different disciplines became essential and the only way to teach, communicate and collaborate for months. In this crisis context, we conducted a longitudinal study in four German universities, in which we collected a total of 875 responses from students of information systems and music and arts at four points in time during the spring-summer 2020 semester. Our study focused on (1) the students' acceptance of technology-mediated learning, (2) any change in this acceptance during the semester and (3) the differences in acceptance between the two disciplines. We applied the Technology Acceptance Model and were able to validate it for the extreme situation of the COVID-19 pandemic. We extended the model with three new variables (time flexibility, learning flexibility and social isolation) that influenced the construct of perceived usefulness. Furthermore, we detected differences between the disciplines and over time. In this paper, we present and discuss our study's results and derive short- and long-term implications for science and practice.}, language = {en} } @techreport{KuhlmannFranzkeDumasetal.2021, author = {Kuhlmann, Sabine and Franzke, Jochen and Dumas, Beno{\^i}t Paul and Heine, Moreen}, title = {Daten als Grundlage f{\"u}r wissenschaftliche Politikberatung}, publisher = {Universit{\"a}tsverlag Potsdam}, address = {Potsdam}, doi = {10.25932/publishup-51968}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-519683}, pages = {67}, year = {2021}, abstract = {Die vorliegende Studie zeigt, dass Daten in der Krise eine herausragende Bedeutung f{\"u}r die wissenschaftliche Politikberatung, administrative Entscheidungsvorbereitung und politische Entscheidungsfindung haben. In der Krise gab es jedoch gravierende Kommunikationsprobleme und Unsicherheiten in der wechselseitigen Erwartungshaltung von wissenschaftlichen Datengebern und politisch-administrativen Datennutzern. Die Wissensakkumulation und Entscheidungsabw{\"a}gung wurde außerdem durch eine unsichere und volatile Datenlage zum Pandemiegeschehen, verbunden mit einer dynamischen Lageentwicklung, erschwert. Nach wie vor sind das Bewusstsein und wechselseitige Verst{\"a}ndnis f{\"u}r die spezifischen Rollenprofile der am wissenschaftlichen Politikberatungsprozess beteiligten Akteure sowie insbesondere deren Abgrenzung als unzureichend einzusch{\"a}tzen. Die Studie hat dar{\"u}ber hinaus vielf{\"a}ltige Defizite hinsichtlich der Verf{\"u}gbarkeit, Qualit{\"a}t, Zug{\"a}nglichkeit, Teilbarkeit und Nutzbarkeit von Daten identifiziert, die Datenproduzenten und -verwender vor erhebliche Herausforderungen stellen und einen umfangreichen Reformbedarf aufzeigen, da zum einen wichtige Datenbest{\"a}nde f{\"u}r eine krisenbezogene Politikberatung fehlen. Zum anderen sind die Tiefensch{\"a}rfe und Differenziertheit des verf{\"u}gbaren Datenbestandes teilweise unzureichend. Dies gilt z.B. f{\"u}r sozialstrukturelle Daten zur Schwere der Pandemiebetroffenheit verschiedener Gruppen oder f{\"u}r kleinr{\"a}umige Daten {\"u}ber Belastungs- und Kapazit{\"a}tsparameter, etwa zur Personalabdeckung auf Intensivstationen, in Gesundheits{\"a}mtern und Pflegeeinrichtungen. Datendefizite sind ferner im Hinblick auf eine ganzheitliche Pandemiebeurteilung festzustellen, zum Beispiel bez{\"u}glich der Gesundheitseffekte im weiteren Sinne, die aufgrund der ergriffenen Maßnahmen entstanden sind (Verschiebung oder Wegfall von Operationen, Behandlungen und Pr{\"a}vention, aber auch h{\"a}usliche Gewalt und psychische Belastungen). Mangels systematischer Begleitstudien und evaluativer Untersuchungen, u.a. auch zu lokalen Pilotprojekten und Experimenten, bestehen außerdem Datendefizite im Hinblick auf die Wirkungen von Eind{\"a}mmungsmaßnahmen oder deren Aufhebung auf der gebietsk{\"o}rperschaftlichen Ebene. Insgesamt belegt die Studie, dass es zur Optimierung der datenbasierten Politikberatung und politischen Entscheidungsfindung in und außerhalb von Krisen nicht nur darum gehen kann, ein „Mehr" an Daten zu produzieren sowie deren Qualit{\"a}t, Verkn{\"u}pfung und Teilung zu verbessern. Vielmehr m{\"u}ssen auch die Anreizstrukturen und Interessenlagen in Politik, Verwaltung und Wissenschaft sowie die Kompetenzen, Handlungsorientierungen und kognitiv-kulturellen Pr{\"a}gungen der verschiedenen Akteure in den Blick genommen werden. Es m{\"u}ssten also Anreize gesetzt und Strukturen geschaffen werden, um das Interesse, den Willen und das K{\"o}nnen (will and skill) zur Datennutzung auf Seiten politisch-administrativer Entscheider und zur Dateneinspeisung auf Seiten von Wissenschaftlern zu st{\"a}rken. Neben adressatengerechter Informationsaufbereitung geht es dabei auch um die Gestaltung eines normativen und institutionellen Rahmens, innerhalb dessen die Nutzung von Daten f{\"u}r Entscheidungen effektiver, qualifizierter, aber auch transparenter, nachvollziehbarer und damit demokratisch legitimer erfolgen kann. Vor dem Hintergrund dieser empirischen Befunde werden acht Cluster von Optimierungsmaßnahmen vorgeschlagen: (1) Etablierung von Datenstrecken und Datenteams, (2) Schaffung regionaler Datenkompetenzzentren, (3) St{\"a}rkung von Data Literacy und Beschleunigung des Kulturwandels in der {\"o}ffentlichen Verwaltung, (4) Datenstandardisierung, Interoperabilit{\"a}t und Registermodernisierung, (5) Ausbau von Public Data Pools und Open Data Nutzung, (6) Effektivere Verbindung von Datenschutz und Datennutzung, (7) Entwicklung eines hochfrequenten, repr{\"a}sentativen Datensatzes, (8) F{\"o}rderung der europ{\"a}ischen Daten-Zusammenarbeit.}, language = {de} } @article{BreierKallmuenzerClaussetal.2021, author = {Breier, Matthias and Kallmuenzer, Andreas and Clauss, Thomas and Gast, Johanna and Kraus, Sascha and Tiberius, Victor}, title = {The role of business model innovation in the hospitality industry during the COVID-19 crisis}, series = {International journal of hospitality management}, volume = {92}, journal = {International journal of hospitality management}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0278-4319}, doi = {10.1016/j.ijhm.2020.102723}, pages = {10}, year = {2021}, abstract = {The hospitality industry worldwide is among the hardest-hit industries from the COVID-19 lockdowns. Initial theoretical and practical observations in the hospitality industry indicate that business model innovation (BMI) might be a solution to recover from and successfully cope with the COVID-19 crisis. Interestingly, some firms in the hospitality industry already started to successfully adapt their business models. This study explores the why and how of these successful recovery attempts through BMI by conducting a multiple case study of six hospitality firms in Austria. We rely on interview data from managers together with one of their main stammgasts for each case, which we triangulate with secondary data for the analysis. Findings show that BMI is applied during and after the crisis to create new revenue streams and secure a higher level of liquidity, with an important role of stammgasts.}, language = {en} }