Informationen zu Abschlussarbeiten am ProCo-Lehrstuhl

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Hier gehts zum Moodle Kurs für ProCo-Abschlussarbeiten

Wir betreuen Abschlussarbeiten unter anderem zu den unten genannten Feldern. Im Folgenden finden Sie ausgeschriebene Themen sowie offene Themenfelder für Abschlussarbeiten. Sie können auch eigene Vorschläge für Themen machen. Grundsätzlich ist es auch möglich, Abschlussarbeiten in Kooperation mit Unternehmen zu schreiben.

Es wird erwartet, dass Sie im Vorfeld zu einem ersten Treffen bereits Gedanken über einen möglichen Schwerpunkt Ihrer Arbeit machen.

Ausgeschriebene Themen für Abschlussarbeiten

Fake News on cross-platform socila media

Target Group:

Bachelor/Master

Requirements:

Social Media Analytics, Data Mining, Machine Learning

Contents:

In recent years, social media has become a source to spread fake news, increasing mainly during the crisis like COVID-19 or events like an election. The dynamic of the spread of fake news is unpredictable. The trends of flow are different across multiple social media platform. In this thesis, the student can use labelled data from multiple platforms and analyse the content of the social media post and user behaviour. The thesis could aim to analyse the content similarity, network analysis and exchange of information across different social media platforms. The data is gathered using the AMUSED framework.
The thesis can be supervised and written in English only.

Literature:

  • Shahi GK, Dirkson A, Majchrzak TA. An exploratory study of covid-19 misinformation on twitter. arXiv preprint arXiv:2005.05710. 2020 May 12.
  • Shahi GK, Nandini D. FakeCovid--A Multilingual Cross-domain Fact Check News Dataset for COVID-19. arXiv preprint arXiv:2006.11343. 2020 Jun 19.
  • Kishore Shahi G. AMUSED: An Annotation Framework of Multi-modal Social Media Data. arXiv e-prints. 2020 Oct:arXiv-2010.

Contact:

Gautam Kishore Shahi

Trust-Worthiness of the fact-checking websites

Target Group:

Bachelor/Master

Requirements:

Social Media Analytics

Contents:

There is an increasing amount of fake news in the media, social media, and other web sources. In recent years much research has been done for fake news detection and debunking of fake news. In the last two decades, there is a tremendous increase in the spread of misinformation, leading to an escalation in the number of fact-checking institutions. Fact-checking websites can help to investigate claims and determine whether the information used in the articles is true or not. But the quality of the fact-checking websites is questionable. More than 213 fact-checking websites are working in 40+ languages. There is no standard protocol for fact-checking websites, and they do not publish their articles in a standard format which generates several conflicts. So there is a need to investigate the reliability of the fact-checked content. In this thesis, the aim is to analyse the fact-checked content from multiple sources and create fact-checking websites' reliability.

The thesis can be supervised and written in English only.

Literature:

  • Shahi GK, Dirkson A, Majchrzak TA. An exploratory study of covid-19 misinformation on twitter. arXiv preprint arXiv:2005.05710. 2020 May 12.
  • Shahi GK, Nandini D. FakeCovid--A Multilingual Cross-domain Fact Check News Dataset for COVID-19. arXiv preprint arXiv:2006.11343. 2020 Jun 19.
  • Kishore Shahi G. AMUSED: An Annotation Framework of Multi-modal Social Media Data. arXiv e-prints. 2020 Oct:arXiv-2010.
  • Shahi GK, Stieglitz S. FactCred: Credibility Assessment of Fact-Checking Websites.

Contact:

Gautam Kishore Shahi

Ethische Fragestellungen und Herausforderungen beim Einsatz von Augmented- und Virtual Reality

Zielgruppe:

Bachelor/Master

Anforderungen:

Literaturanalyse und/oder Experteninterviews

Inhalte:

Virtual Reality (VR) und Augmented Reality (AR) Technologien und Anwendungen sind zurzeit noch größtenteils Nieschenprodukte. Zwar existiert mit der Microsoft HoloLens 2 und der Oculus Quest 2 bereits eine zweite Generation von Mixed- beziehungsweise Extended Reality (ER) Technologien, jedoch blieb der große Durchbruch bisher aus. Dies könnte sich jedoch in den kommenden Jahren durch vielversprechende Technologien wie die angekündigten Apple Glasses oder weiterentwickelte Mixed-Reality (MR) Displays schlagartig ändern. VR, AR und MR könnten sich nicht nur positiv auf den Entertainmentbereich auswirken, sondern könnten auch in der Bildung (Radianti et al., 2019), am Arbeitsplatz, in der Medizin, im E-Commerce, im Krisenmanagement oder in vielen weiteren Bereichen positive Effekte erzielen (Wohlgenannt et al., 2020).

Der Einsatz von AR und VR birgt jedoch nicht nur Chancen, sondern wirft auch ethische Fragen auf (Alomar et al., 2018). Bereits jetzt wurde bekannt, dass anhand eines wenige Sekunden erfassten Bewegungsprofils entsprechende Personen mit einer Genauigkeit von ca. 95 Prozent zuordnet werden können (Miller et al., 2020). Die Möglichkeiten virtueller Werbeanzeigen (Goebert & Greenhalgh, 2020; Pfeiffer et al., 2020) und der Einsatz von menschlich wirkenden intelligenten Agenten in VR und AR (Schultze & Brooks, 2016) sind weitere Beispiele eines neuen Levels ethischer Probleme und Herausforderungen.

In dieser Abschlussarbeit sollen die ethischen Fragen, Probleme und Herausforderungen, die durch AR, VR, MR und ER Technologien entstehen identifiziert und analysiert werden. Dazu soll zunächst ein systematischer und/oder kritischer Überblick über die aktuelle Literatur geliefert werden. Zusätzlich bieten sich Experteninterviews als mögliche Untersuchungsmethode an. Mittels Literatur- und Inhaltsanalyse sollen die ethischen Probleme, Fragestellungen und Herausforderungen der Nutzung der genannten Technologien herausgearbeitet werden. Als Ergebnisse sollen konkrete Empfehlungen für die Praxis und/oder eine Forschungsagenda für zukünftige Forschung aufgestellt werden.

Literatur:

  • Alomar, N., Alsaleh, M., & Alarifi, A. (2019). Behavioral consequences of Pokémon GO: The exaggerated picture. Computers in Human Behavior, 90, 223–245. https://doi.org/10.1016/j.chb.2018.08.040
  • Fromm, J., Stieglitz, S., & Mirbabaie, M. (2020). The Effects of Virtual Reality Affordances and Constraints on Negative Group Effects during Brainstorming Sessions. WI2020 Zentrale Tracks, 1172–1187. https://doi.org/10.30844/wi_2020_k3-fromm
  • Goebert, C., & Greenhalgh, G. P. (2020). A new reality: Fan perceptions of augmented reality readiness in sport marketing. Computers in Human Behavior, 106. https://doi.org/10.1016/j.chb.2019.106231
  • FMiller, M. R., Herrera, F., Jun, H., Landay, J. A., & Bailenson, J. N. (2020). Personal identifiability of user tracking data during observation of 360-degree VR video. Scientific Reports, 10(1), 1–10. https://doi.org/10.1038/s41598-020-74486-y
  • Pfeiffer, J., Pfeiffer, T., Meißner, M., & Weiß, E. (2020). Eye-tracking-based classification of information search behavior using machine learning: Evidence from experiments in physical shops and virtual reality shopping environments. Information Systems Research, 31(3), 675–691. https://doi.org/10.1287/ISRE.2019.0907
  • Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers and Education, 147(July 2019), 103778. https://doi.org/10.1016/j.compedu.2019.103778
  • Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers and Education, 147(July 2019), 103778. https://doi.org/10.1016/j.compedu.2019.103778
  • Schultze, U., & Brooks, J. A. M. (2019). An interactional view of social presence: Making the virtual other “real.” Information Systems Journal, 29(3), 707–737. https://doi.org/10.1111/isj.12230
  • Wohlgenannt, I., Simons, A., & Stieglitz, S. (2020). Virtual Reality. Business and Information Systems Engineering, 62(5), 455–461. https://doi.org/10.1007/s12599-020-00658-9

Kontakt:

Lennart Hofeditz

Monitoring technology in the workplace

Zielgruppe:

Bachelor/Master

Anforderungen:

Depending on the research question. Interviews, survey, or (if possible) test implementation in a workplace?

Inhalte:

If workers return from remote work to their offices (or work in jobs which do not allow remote work), companies need to establish practices which minimise the risk of possible Covid-19 infections to provide a safe workplace for their employees (see e.g. “SARS-CoV-2 Arbeitsschutzstandard” in Germany). In the USA, some companies started using different types of technologies to monitor and implement health and safety measures. For example, Amazon uses image recognition technology to measure the distance between workers based on security camera footage (Simonite, 2020). Similarly, wearables are used to measure distances and vibrate if the distance to another worker is too small (Temple, 2020). Further examples include the use of thermal cameras with facial recognition to monitor employee body temperature for signs of fever (Holmes, 2020) and apps for careful planning of arrival time to avoid crowding at the elevators (Temple, 2020).

While these technologies have the potential to decrease infection risk and protect the workers, they are also a form of surveillance which could negatively affect the well-being of workers. Exploring technologies in the workplace, for example to enhance performance or monitor working conditions, is not a new phenomenon (Cram and Wiener, 2020; Rahaman, 2020). However, at least in Germany, surveillance is viewed critically, and the interests of employers are weighed carefully against the personal rights of individuals. Here, Covid-19 presents a new case as there are not only strong economic and societal, but also individual health benefits associated with a safe return to office work. Therefore, the potential of monitoring technologies to support this process might outweigh potential concerns surrounding privacy and affect the long-term acceptance of monitoring technologies in the workplace.

Possible research questions include but are not limited to:

  • How could monitoring technologies aid adherence to or implementation of health and safety measures in the workplace?
  • How do monitoring technologies affect worker’s well-being, productivity [...]?
  • How would the use of monitoring technologies affect organisational attractiveness / the perception of the organisation’s values? (e.g. regarding concern for employees, innovativeness, distrust in employees etc.)
The thesis can be supervised and written in English and German.

Literatur:

  • Cram, W., Wiener, M. (2020). Technology-mediated Control: Case Examples and Research Directions for the Future of Organizational Control. Communications of the Association for Information Systems, 46, pp-pp. https://doi.org/10.17705/1CAIS.04604
  • Rahaman, M. S., Liono, J., Ren, Y., Chan, J., Kudo, S., Rawling, T., Salim, F. D. (2020). An Ambient-Physical System to Infer Concentration in Open-plan Workplace. IEEE Internet of Things Journal.
  • Simonite, T. (18.06.2020). Amazon Touts AI for Social Distancing Amid Worker Complaints. WIRED
  • Holmes, A. (20.04.2020). Offices are buying thermal cameras with facial recognition to see if employees are running a fever — and the demand for the cameras is skyrocketing as companies plan to reopen. Business Insider
  • Temple, J. (22.05.2020). Prepare to be tracked and tested as you return to work. Technology Review

Contact:

Sünje Clausen

CEO Reputation Management on Social Media

Zielgruppe:

Bachelor/Master

Anforderungen:

Qualitative Interviews

Inhalte:

In recent years, social media has become an indispensable tool for brand communication. Compared to traditional marketing channels, social media provides a cost-effective platform for companies to promote products and interact with consumers. Since the digitization has progressed, a company is no longer judged solely on the basis of its products and quality of services, but also in terms of its communication and interaction with consumers. Customers want to speak up, provide feedback, ask questions and receive supplementary product information. In addition to organizational brand presentation, top managers such as chief executive officers (CEOs) use social media pages to provide a platform for interaction and exchange. This thesis aims to qualitatively assess the possibilities, obstacles, and best practices of CEO reputation management on social media by interviewing leading experts from industry.

Literatur:

  • Mirbabaie, M., Marx., J., Stieglitz, S. (2019). ‘Show Me Your People Skills’ - Employing CEO Branding for Corporate Reputation Management in Social Media. WI Proceedings, Siegen, Germany.
  • Marx, J., Mirbabaie, M., Stieglitz, S. (2018). You are now an Influencer! Measuring CEO Reputation in Social Media. In: ACIS Proceedings, Sydney, Australia.
  • Pamuksuz, U., Mourad, M.: “Analysis of Executive Reputation in Social Media Networks,” Proc. Thirty Seventh Int. Conf. Inf. Syst., pp. 1–9 (2014)
  • Capriotti, P., Ruesja, L.: How CEOs use Twitter: A comparative analysis of Global and Latin American companies, Int. J. Inf. Manage., 39(1), pp. 242–248 (2018)

Kontakt:

Julian Marx

Sciebo und Open Science: Soziotechnische Gestaltungsempfehlungen für ein verbessertes Management von Forschungsdaten

Zielgruppe:

Bachelor/Master

Anforderungen:

Qualitative Inhaltsanalyse

Inhalte:

Um dem Gedanken der offenen Wissenschaft zu folgen, wird ein präzises Forschungsdatenmanagement (RDM) immer wichtiger. Mit dem Aufkommen datenintensiver Forschungsmethoden geht der Wunsch nach offen zugänglichen Daten einher (Link et al., 2011). Die Open-Science-Idee ist aber nicht nur aus der intrinsischen Bereitschaft der Forscher, ihre Daten zu teilen, entstanden (Wilms, Stieglitz, Buchholz, Vogl & Rudolph, 2018), sondern ist vielmehr auf die von der Deutschen Forschungsgemeinschaft (DFG) veröffentlichten Richtlinien zurückzuführen. Eine Folge davon ist, dass Forschungseinrichtungen und Drittorganisationen begonnen haben, e-Science-Technologien wie Datenspeicher und digitale Forschungsumgebungen zu entwickeln (Kim & Zhang, 2015, Vogl et al., 2015). Auf operativer Ebene gibt es jedoch keine geeignete Infrastruktur und die Dienstleistungen sind nur unzureichend mit den RDM-Schritten verknüpft. Aus diesem Grund hat die Universität Duisburg-Essen in Zusammenarbeit mit der Universität Münster und Bielefeld begonnen, eine modulare RDM-Infrastruktur unter Berücksichtigung der bestehenden Dienste zu integrieren, um den offenen Wissenschaftsanspruch zu unterstützen (sciebo RDS). Ein wesentlicher Aspekt des Projekts ist die Entwicklung und Verbesserung niedrigschwelliger Dienste, die zu einer verstärkten Nutzung von RDM-Richtlinien bei potenziellen Nutzern führen werden.

Im Rahmen dieses von der DFG geförderten Projektes wurde eine erste begleitende Studie durchgeführt. Ziel dieser Studie war es, herauszufinden, unter welchen Bedingungen Wissenschaftlerinnen und Wissenschaftler aus verschiedenen Disziplinen den Empfehlungen des RDM folgen und entsprechende Dienste nutzen. Dazu wurde ein theoriegeleiteten Interviewleitfaden erstellt und 15 halbstrukturierte Experteninterviews durchgeführt. Ziel der Interviews war es, ein besseres Verständnis für den Umgang mit Forschungsdaten aus verschiedenen Disziplinen zu gewinnen und Vorschläge zu sammeln, wie die Berücksichtigung von RDM-Schritten durch eine geeignete Infrastruktur und bestehende Dienstleistungen verbessert werden kann. Außerdem wurde gefragt, welche technischen und psychologischen Mechanismen erfolgreich eingesetzt werden können, um das Bewusstsein für die offene Wissenschaftsidee zu erhöhen. Dabei wurden verschiedene hierarchische Positionen und verschiedene Forschungsdisziplinen von drei Universitäten abgefragt.

Auf Basis dieser Interviewdaten sollen in dieser Abschlussarbeit nun anhand der Actor-Network-Theory konkrete Handlungsempfehlungen zur Verbesserung des Managements von Forschungsdaten am Beispiel von Sciebo abgeleitet werden, die anschließend implementiert werden können.

Literatur:

  • Kim, Y., and Zhang, P. 2015. “Understanding data sharing behaviors of STEM researchers: The roles of attitudes, norms, and data repositories,” Library & Information Science Research, (37:3), pp. 189–200 (doi: 10.1016/J.LISR.2015.04.006).
  • Vogl R., Angenent H., Rudolph D., Thoring A., Schild C., Stieglitz S. and Meske C. 2015. „sciebo – the Campuscloud for NRW”, European Journal of Higher Education IT (EJHEIT) (2:3), pp. 1-12. (Winner of the Elite Award for Excellence).
  • Vogl, R., Rudolph, D., Thoring, A., Angenent, H., Stieglitz, S., & Meske, C. (2016). How to build a cloud storage service for half a million users in higher education: Challenges met and solutions found. Proceedings of the Annual Hawaii International Conference on System Sciences, 2016–March, 5328–5337. https://doi.org/10.1109/HICSS.2016.658
  • Wilms, K., Brenger, B., López, A., Rehwald, S. (2018). Open Data in Higher Education – What Prevents Researchers from Sharing Research Data?. In: Proceedings of the 39th International Conference on Information Systems (ICIS).
  • Wilms, K., Meske, C., Stieglitz, S., Decker, H., Fröhlich, L., Jendrosch, N., Schaulies, S., Vogl, R. and Rudolph, D. (2017). Digital Transformation in Higher Education – New Cohorts, New Requirements?. In: Proceedings of the 23rd Americas Conference on Information Systems (AMCIS)

Kontakt:

Lennart Hofeditz

Ethics of Social Media Analytics

Zielgruppe:

Master

Anforderungen:

Planning and conducting of expert interviews

Inhalte:

Social Media Analytics is an emerging interdisciplinary research field that aims on combining, extending, and adapting methods for analysis of social media data. On the one hand, it can support Information Systems and other research disciplines to answer their research questions and on the other hand it helps to provide architectural designs as well as solution frameworks for new social media- based applications and information systems. SMA aims to improve relevant tasks such as the tracking, preparation, and analysis as well as the aggregation, visualization, and interpretation of social media data. SMA enables researchers and practitioners to address important questions including, for example, how information diffuses through social media or how predictions about future behavior can be made based on social media data.

There are many fields which highly benefited from the use of social media analytics. For instance political parties, which used data analyzed their voters and directly targeted them, emergency agencies, which used social media analytics to learn more about crisis events to improve their strategies, or journalists who used social media analytics to learn what their audience wants to consume and with which content they mostly engage with.

However, several data scandals as e.g. the Cambridge Analytics Scandal on Facebook lead to a huge discussion about morals on social media and the ethics of social media and big data analysis. The EU responded in 2018 with the GDPR, the General Data protection Regulation which aims at protecting the users from misuse of their data. This new regulation made the tracking, storage and analysis of personal data online way more difficult. However, ethical questions remain unanswered and thus leaves a lot of open research questions for scientists.

The aim of this master thesis will be the elaboration of the ethical challenges which arise in the process of social media analytics. The analysis will consider all three steps of social media analytics process: the tracking, preparation and analysis. The leading question will be “Which role does ethics play in the process of social media analytics?” It won’t be the aim of this thesis to show what the GDPR states about certain ethical pitfalls, but much more: “What should researchers and practitioners do to use SMA ethically?” The thesis should successfully highlight the tension between e.g. the data protection rights of the individuals and the aim to do research for a greater good.

For the thesis the interview guidelines need to be developed on a deductive and inductive basis, experts need to be recruited and the interviews need to be conducted, transcribed and analyzed with help of a reliable coding scheme. If necessary the supervisor will assist the student in the process of expert recruitment.

Literatur:

  • Mittelstadt et al. (2016): The ethics of algorithms: Mapping the Debate. Big Data & Society, p. 1-21.
  • Someh et al. (2019). Ethical Issues in Big Data Analytics: A Stakeholder Perspective. Communications of the Association for Information Systems, 44. https://doi.org/10.17705/1CAIS.04434
  • Stieglitz et al. (2014): Social Media Analytics - An Interdisciplinary Approach and Its Implications for Information Systems. Bus. Inf. Syst. Eng. 6, 89–96 (2014).
  • Zarsky (2016) The trouble with algorithmic decisions an analytic road map to examine efficiency and fairness in automated ad opaque decision making. Science, Technology and Human Values 41 (1), p. 118-132.

Kontakt:

Anna-Katharina Jung

Virtual Assistants in Organizations - The Return of Social Loafing?

Zielgruppe:

Bachelor/Master

Anforderungen:

Experiment, Quantitative and Qualitative Analysis

Inhalte:

Since Maximilien Ringelmann’s first experiment in 1913, to suggest a possible decrement in individual motivation as a result of working in a group (Karau & Williams, 1993, cited in Kravitz & Martin, 1986), social loafing (SL) has been researched frequently. SL is defined as “the reduction in motivation and effort when individuals work collectively compared with when they work individually” (Karau & Williams, 1993) and can generally be explained by 4 main theories (Vaghefi & Lapointe, 2012): Social Impact Theory (Latané et al., 1979), Free Rider Theory (Albanese & Van Fleet, 1985), Social Comparison Theory (Festinger, 1954; Goethals & Darley, 1987), as well as Theory of Social Compensation (Williams & Karau, 1991).

Within organizations, information systems (IS) research focused on the individual contribution (Bandura 1997) as well as the individual performance (Lount & Wilk, 2014) and is further divided into two main streams: determinants and their influence (e.g. Chidambaram & Tung, 2005; Dennis et al., 2005) as well as negative impacts on performance and its reduction (e.g. Shepperd, 1995; Suleiman & Watson, 2008). However, the role of information technology (IT) artifacts in the emergence of SL has been largely ignored (Vaghefi & Lapointe, 2012).

Zum derzeitigen Zeitpunkt ist Virtual Reality ein neuer Hype und es wird vorhergesagt, dass Virtual Reality Meetings die Zukunft sein werden. Blickt man jedoch wieder in die Vergangenheit zurück, stellt man fest, dass es denselben Hype bereits in den 90ern gab. Und damals hat Virtual Reality sich nicht am Arbeitsplatz durchsetzen könnten. Es stellt sich die Frage, ob nun die Voraussetzungen gegeben sind, dass sich Virtual Reality durchsetzen kann.

Due to the current development that artificial intelligence (AI) and especially virtual assistants (VAs) are increasingly being introduced in organizations (Alsheiabni, Cheung and Messom, 2019) for assisting employees by tackling repetitive tasks (Frick, 2019) that require the fast retrieval and processing of digital data (Maedche et al., 2016) and understanding of complex interdependencies (Dellermann et al., 2019) it is unclear whether the utilization of VAs also involves negative consequences. The question remains if SL be detected in teams consisting out of employees and VAs. Summarized, this thesis focuses on what influence virtual assistants have on motivation and effort when working collectively with employees compared with employees who work individually.

The collaboration with one or more organizations is possible, as long as the further use of the research data is not limited. The thesis is going to be written in English.

Literatur:

  • Albanese, R., and Van Fleet, D. D. 1985. "Rational behavior in groups: The free-riding tendency,” The Academy of Management Review, (10:2), pp. 244–255
  • Alsheiabni, S., Y. Cheung and C. Messom. (2019). “Factors Inhibiting the Adoption of Artificial Intelligence at organizational-level : A Preliminary Investigation.” In: Twenty-fifth Americas Conference on Information Systems (pp. 1–10). Cancun.
  • Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman and Company
  • Volkoff, O., & Strong, D. (2013). Critical Realism and Affordances: Theorizing IT-Associated Organizational Change Processes, MIS Quarterly, 37(3), 819-834.
  • Dellermann D, Ebel P, Söllner M, Leimeister JM (2019) Hybrid Intelligence. Bus Inf Syst Eng. doi: 10.1007/s12599-019-00595-2
  • Dennis, A. R., Pinsonneault, A., McNamara Hilmer, K., Barki, H., Gallupe, B., Huber, M., and Bellavance, F. 2005. "Patterns in Electronic Brainstorming.,” International Journal of e-Collaboration, (1:4), pp.38–57.
  • Festinger, L. 1954. "A theory of social comparison processes,” Human Relations, 7, pp.117-140
  • Frick NRJ, Brünker F, Ross B, Stieglitz S (2019) Towards Successful Collaboration: Design Guidelines for AI-based Services enriching Information Systems in Organisations. Australas Conf Inf Syst. 2019.

Kontakt:

Nicholas Frick

Self-Determination and Smart Speakers in Organizations

Zielgruppe:

Master

Anforderungen:

Quantitative Analysis

Inhalte:

The utilization of Smart Speakers at home as well as in organizations has increased rapidly over the last few years. Systems like Amazon Alexa, Apple Home Pod and Google Home are physical devices equipped with microphones and virtual assistants with the major goal to assist people with everyday tasks. Therefore, the utilization of Smart Speakers by employees in organizations promise many advantages. Smart Speakers have to listen the environment constantly, to be activated using a particular keyword. Additionally, there has to be a permanent internet connection to send and retrieve information processed by the virtual assistant on the vendors server. However, with the continued spread of Smart Speakers concerns associated with the outlined requirements increase especially when revealing work-related information. Research already focused on different perspectives in this context like Security, Privacy and Trust. However, there is no research how Self-Determination influences the willingness to use Smart Speakers.

The aim of this thesis is to investigate to what extent the three basic psychological needs for Competence, Relatedness and Autonomy influence the use of Smart Speakers in organizations and how Uncertainty Factors affect this effect. To test the hypotheses, an online survey will be conducted with the major aim to verify a developed structural equation model. In this master thesis, the collaboration with organizations is possible, as long as the further use of the research data is not limited.

Literatur:

  • Deci, E. L., Ryan, R. M., Gagné, M., Leone, D. R., Usunov, J., & Kornazheva, B. P. (2001). Need Satisfaction, Motivation, and Well-Being in the Work Organizations of a Former Eastern Bloc Country: A Cross-Cultural Study of Self-Determination. Personality and Social Psychology Bulletin, 27(8), 930–942. https://doi.org/10.1177/0146167201278002
  • H. Ernst, Claus-Peter. (2015). Risk Hurts Fun: The Influence of Perceived Privacy Risk on Social Network Site Usage. 10.1007/978-3-658-09918-3_4.
  • Hoy, Matthew. (2018). Alexa, Siri, Cortana, and More: An Introduction to Voice Assistants. Medical Reference Services Quarterly. 37. 81-88. 10.1080/02763869.2018.1404391.
  • Orr, Douglas & Sanchez, Laura. (2018). Alexa , did you get that? Determining the evidentiary value of data stored by the Amazon® Echo. Digital Investigation. 24. 10.1016/j.diin.2017.12.002
  • Renzl, Birgit. (2008). Trust in management and knowledge sharing: The mediating effects of fear and knowledge documentation. Omega. 36. 206-220. 10.1016/j.omega.2006.06.005.

Kontakt:

Nicholas Frick

Connective Action and Disaster Communication

Zielgruppe:

Master

Anforderungen:

Social Media Analytics, Qualitative Analyses

Inhalte:

Movements such as the Arab Spring, Occupy Wall Street and other large-scale protests have used digital media in ways that go beyond sending and receiving messages. The same applies to natural disasters, and human induced crises. This thesis aims to examine the public dynamics that emerge when communication becomes a part of a collective movement. We need to understand action networks and their requirements. In the literature, one can distinguish between the logic of collective action and the formation of collective identities, and the less prominent logic of connective action. It is primarily based on personalized content sharing across media networks. By analyzing social media communication data of a recent crisis case, the thesis shall investigate how connective action during disaster communication comes to play. The thesis involves the analysis of one or more large-scale datasets by means of social network analysis, sentiment, and content analysis.

Literatur:

  • Philip Pond, Jeff Lewis. (2019) Riots and Twitter: connective politics, social media and framing discourses in the digital public sphere. Information, Communication & Society 22:2, pages 213-231.
  • Alex Ingrams. (2017) Connective action and the echo chamber of ideology: Testing a model of social media use and attitudes toward the role of government. Journal of Information Technology & Politics14:1, pages 1-15.
  • Mette Mortensen. (2015) Connective witnessing: Reconfiguring the relationship between the individual and the collective. Information, Communication & Society 18:11, pages 1393-1406.

Kontakt:

Dr. Milad Mirbabaie

Conversational Agents in Collaboration

Zielgruppe:

Master

Anforderungen:

Systematic Literature Review, Qualitative Analyses

Inhalte:

Companies, as well as other organizations, compete on a market which is characterized by shortened product cycles, requiring them to quickly develop new and innovative products and services. Furthermore, organizations are increasingly influenced by the chances and challenges of digitization. Concurrently, employees are confronted with issues of increasing complexity. A proven and effective way of conquering complexity is collaboration. Collaborative methods such as Design Thinking, require adequate moderation and management (e.g. of tasks). These tasks can potentially be carried out by conversational agents, computer programs which are able to communicate with human users through the use of written or spoken natural language. Research has demonstrated such potential e.g. in the context of software development, collaborative searching tasks, workflow and task management, as well as innovation. As such, several additional contexts could benefit from the inclusion of conversational agents into collaborative processes. Equivalent to the whole research field of conversational agents, research regarding the inclusion of CAs in collaborative tasks is characterized by a high level of heterogeneity. As such, there is a need for a systematization of existing concepts and systems based on a systematic literature review and or expert interviews, resulting e.g. in the design of a (conceptual) framework. Furthermore, a practical implementation can be carried out via the development of new concepts and prototypical systems.

Literatur:

  • Porcheron, M., Fischer, J.E., McGregor, M., Brown, B., Luger, E., Candello, H., O’Hara, K., 2017. Talking with Conversational Agents in Collaborative Action, in: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW ’17 Companion.
  • Just, J.E., Cornwell, M.R., Huhns, M.N., 2005. Facilitating Human Collaboration with Agents, in: Proceedings of the 38th Annual Hawaii International Conference on System Sciences. p. 71a.
  • Gnewuch, U., Morana, S., Maedche, A., 2017. Towards Designing Cooperative and Social Conversational Agents for Customer Service, in: Proceedings of the International Conference on Information Systems (ICIS). pp. 1–13.

Kontakt:

Dr. Milad Mirbabaie

Conversational Agents and Ethics

Zielgruppe:

Master

Anforderungen:

Quantitative or qualitative analyses

Inhalte:

Society as a whole, as well as organizations in particular are increasingly influenced and shaped by information technology. Concurrently, the mode of interaction with such systems is changing. One such mode, conversational agents, enable interaction through the use of natural written (e.g. Chatbots) or spoken (e.g. Amazon Alexa) language and support a wide range of tasks in domains such as e-commerce, education, health or professional collaboration. The inclusion of conversational agents into human interactions, e.g. in collaborative endeavors, rise questions on privacy. These are further emphasized by the requirement of a constant activity of conversational agents in order for them to be able to pick up cues. Hence, the role of ethics in the context of conversational agents has to be sufficiently clarified. This requires the determination of the status quo regarding ethics in currently used conversational agent applications as well as the development of ethical standards, e.g. in the form of best practices, which can be applied in existing applications, as well as future development. Research can include qualitative methods such as systematic literature review, as well as interviews with private users and/or domain experts, and quantitative methods (survey).

Literatur:

  • Porcheron, M., Fischer, J.E., McGregor, M., Brown, B., Luger, E., Candello, H., O’Hara, K., 2017. Talking with Conversational Agents in Collaborative Action, in: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW ’17 Companion.
  • Just, J.E., Cornwell, M.R., Huhns, M.N., 2005. Facilitating Human Collaboration with Agents, in: Proceedings of the 38th Annual Hawaii International Conference on System Sciences. p. 71a.
  • Gnewuch, U., Morana, S., Maedche, A., 2017. Towards Designing Cooperative and Social Conversational Agents for Customer Service, in: Proceedings of the International Conference on Information Systems (ICIS). pp. 1–13.

Kontakt:

Dr. Milad Mirbabaie

Fake News: Nutrition Label

Zielgruppe:

Master

Anforderungen:

Quantitative or qualitative analyses

Inhalte:

Internet media such as publicly and privately-run news sites, blogs, wikis and social media such as Facebook and Twitter are increasingly used as the primary source of different kinds of information. While such media have disruptively changed the way, news are produced and distributed, concurrently the assessment of legitimacy of content distributed through such media has become increasingly difficult. As such, the term „fake news“ has gained popularity, albeit in negative connotation, as fake news have been linked with influencing public opinion e.g. in the context of elections. As important as ways to effectively identifying fake news are, as complex such a task is. A way of determining legitimacy are nutritional labels (Fuhr et al., 2018), which provide a range of characteristics of text documents, such as factuality, virality, opinion, controversy, authority, technicality, and topicality (Fuhr et al., 2018), thus empowering the consumer to perceive the legitimacy of online media. These characteristics are determined based on different methods of natural language processing, which include rule-based as well as machine learning approaches, as well as network analysis amongst others. As such, qualitative, as well as quantitative methods are applied. Social media, such as Facebook or Twitter, offer a large and ever-growing corpus of different kinds of information, partly fake in nature. As such, social media concurrently provides a microcosm, in which fake information can be observed, as well as a data basis, on which characteristics of a “nutrition label” can be applied and evaluated.

Literatur:

  • Fuhr, Norbert (2018). An Information Nutritional Label for Online Documents, ACM SIGIR Forum, v.51 n.3, 1-19.
  • Ross, Björn; Jung, Anna-Katharina; Heisel, Jennifer; Stieglitz, Stefan (2018). Fake News on Social Media: The (In)Effectiveness of Warning Messages. In: Proceedings of the 39th International Conference on Information Systems (ICIS).
  • Allcott, H., and Gentzkow, M. 2017. “Social Media and Fake News in the 2016 Election,” Journal of Economic Perspectives , (31:2), pp. 211–236, May 24.

Kontakt:

Dr. Milad Mirbabaie

Heterogeneity of Terminology: Conversational Agents

Zielgruppe:

Master

Anforderungen:

Systematic Literature Review

Inhalte:

Conversational agents, computer programs which are able to communicate with human users through the use of written or spoken natural language, are increasingly applied in a wide range of contexts such as e-commerce, education, health or collaboration. Depending on the context, conversational agents are able to assist the user in specific tasks, e.g. information retrieval, moderation, planning or entertainment among others. The variety of use cases of conversational agents, as well as research in several disciplines, results in a rather high heterogeneity of terminology and definitions. In scientific literature, entities which match the definition mentioned above, are mentioned under the terms of conversational agents, chat bots, virtual agents or intelligent agents, virtual assistants among others. This heterogeneity renders the assessment of a status quo in CA-research an elaborate and complex task, impeding progress. As such, a systematization of research regarding CAs could be highly beneficial to the field of CAs. This task can be performed based on a systematic literature review of existing literature regarding CAs in different use contexts.

Literatur:

  • Porcheron, M., Fischer, J.E., McGregor, M., Brown, B., Luger, E., Candello, H., O’Hara, K., 2017. Talking with Conversational Agents in Collaborative Action, in: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW ’17 Companion.
  • Just, J.E., Cornwell, M.R., Huhns, M.N., 2005. Facilitating Human Collaboration with Agents, in: Proceedings of the 38th Annual Hawaii International Conference on System Sciences. p. 71a.
  • Gnewuch, U., Morana, S., Maedche, A., 2017. Towards Designing Cooperative and Social Conversational Agents for Customer Service, in: Proceedings of the International Conference on Information Systems (ICIS). pp. 1–13.

Kontakt:

Dr. Milad Mirbabaie

Social Movements

Zielgruppe:

Master

Anforderungen:

Social Media Analytics, Qualitative Analysen

Inhalte:

Social Media have had a significant impact on the way people interact, communicate and inform themselves. Classic models and theories of human interaction and communication can no longer be universally applied to explain (mass) communication and interaction. Social media enable the rapid and multidirectional exchange of information, thus allowing the addressing of a mass of users at once. Social media facilitates the emergence and formation of social movements or collectives (e.g. based on trending topics e.g. of social or ecological nature) by enabling relatively easy self-organization. Such social movements, which are more of less organized, perform “connective actions”. Thus, new forms of collectives or movements differ from classic analog collectives, which are often centrally organized. As such, the way in which collectives or social movements emerge in social media, as well as their inner workings have yet to be further identified and explained. Possible methods include content analysis, social network analysis and sentiment analysis of twitter data.

Literatur:

  • Tye, M., Leong, C., Tan, F., Tan, B., & Khoo, Y. H. (2018). Social Media for Empowerment in Social Movements: The Case of Malaysia's Grassroots Activism. Communications of the Association for Information Systems, 42, 1-19.
  • Ray, Deepa and Tarafdar, Monideepa, (2017). ”How does Twitter influence Social Movement?". In Proceedings of the 25th European Conference on Information Systems (ECIS), Guimarães, Portugal, June 5-10, pp. 3123-3132
  • Buechler, S. M. (1995). New social movement theories. Sociological Quarterly, 36(3), 441-464.

Kontakt:

Dr. Milad Mirbabaie

Organizational Change in Zeiten von künstlicher Intelligenz

Themenfeld:

Einsatz und Nutzung von Künstlicher Intelligenz in Unternehmen

Zielgruppe:

Bachelor, Master

Anforderungen:

Quantitative oder Qualitative Analysen

Inhalte:

Der Einsatz von Künstlicher Intelligenz bietet ein großes Potential in diversen Unternehmensbereichen. KI-Technologien können z.B. dafür genutzt werden, um bessere und schnellere Entscheidungen zu treffen oder neue Formen von Zusammenarbeit zu schaffen. Schon heute investieren vor allem große Konzerne wie Google, IBM und Amazon in die Entwicklung von KI-Technologien. So hat Google bereits 2017 die Unternehmensstrategie weg von “Mobile first” hin zu “AI first” definiert. Neben der Frage nach einer Unternehmensanwendung, besteht eine der größten Herausforderungen für Unternehmen darin, sich so zu verändern, dass Vorteile von Künstlicher Intelligenz genutzt werden können. Neue Produkte oder Dienstleistungen werden geschaffen, die einerseits die Optimierungen von Geschäftsabläufen versprechen, andererseits aber die Arbeit von Mitarbeitern stark beeinflussen wird. Unternehmen müssen sich tiefgreifend verändern, um wettbewerbsfähig zu bleiben sowie die Tatsache akzeptiert werden, dass mit KI-Technologien zusammengearbeitet werden muss.

Im Rahmen der Abschlussarbeit soll untersucht werden, wie sich Unternehmen bzw. auch IT-Abteilungen ändern müssen, um die Vorteile von Künstlicher Intelligenz nutzen zu können und wie der Widerstand gegen Veränderung möglichst gering gehalten werden kann. Im Rahmen dieser Abschlussarbeit sollen Daten erhoben werden (Quantitative oder Qualitative Analysen sind möglich). Eine Erstellung der Arbeit in Kooperation mit einem Unternehmen ist möglich (Unternehmen kann vermittelt werden), solange die Nutzung der Daten hierdurch nicht eingeschränkt wird.

Literatur

  • Holtel, S. (2016). “Artificial intelligence creates a wicked problem for the enterprise.” Procedia Computer Science, 99, 171–180.
  • Laumer, S. (2011). “Why Do People Reject Technologies – a Literature-Based Discussion of the Phenomena “Resistance To Change” in Information Systems and Managerial Psychology Research.” ECIS 2011 Proceedings, 60.
  • Makridakis, S. (2017). “The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms.” Futures, 90, 46–60.
  • Spichalsky, K. (2014). Change Management und Mitarbeiterbefragungen - Konzeptionelle Überlegungen und Empirische Erkenntnisse (Vol. 1.1).
  • Weiner, B. J. (2009). “A theory of organizational readiness for change.” Implementation Science, 4(1), 1–9.

Kontakt:

Nicholas Frick

Themenfelder für Abschlussarbeiten

Social-Media-Analytics

  • Automatisierte Kommunikation in Social Media -- Kontakt & Kontakt
  • Sense-making in Social Media Crisis Communication -- Kontakt
  • Social Bots - Wirkung und Bedeutung -- Kontakt & Kontakt
  • Einsatz und Nutzung von Künstlicher Intelligenz in Unternehmen -- Kontakt & Kontakt
  • Echokammern und Filterblasen in sozialen Netzwerken -- Kontakt

Communication and Collaboration

  • Conversational Agents in virtueller Kollaboration -- Kontakt