Abschlussarbeiten

Informationen zu Abschlussarbeiten am ProCo-Lehrstuhl

Wir haben alle relevanten Informationen zur Anmeldung und zum Verfassen von Abschlussarbeiten in einem Moodle-Kurs zusammengefasst. Es ist absolut erforderlich, dass Sie sich die Informationen genau ansehen, bevor Sie mit uns in Kontakt treten.

-> 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

Augmented-Reality-Integration von Social-Media-Daten ins Krisenmanagement

Zielgruppe:

Master

Anforderungen:

Interviews und qualitative Inhaltsanalyse

Inhalte:

In Krisensituationen spielen Mitarbeiter in Einsatzleitstellen eine zentrale Rolle für die Koordination von verfügbaren Ressourcen und Einsatzkräften. Für ihre Aufgabe müssen sie eine Vielzahl an Informationen verarbeiten, die auf mehreren Bildschirmen visualisiert werden. Dazu gehören beispielsweise digitale Karten der betroffenen Region, eine Übersicht über die verfügbaren Einsatzkräfte in der Nähe sowie die aktuelle Berichterstattung in den Nachrichtenmedien. In letzter Zeit wird in der Forschung auch vermehrt das Potenzial von Social Media als zusätzliche Informationsquelle für das Krisenmanagement diskutiert. So könnten insbesondere Posts von Augenzeugen eine wertvolle Ergänzung zu traditionellen Informationsquellen darstellen. Da Mitarbeiter in Einsatzleitstellen jedoch bereits eine Vielzahl an Informationen verarbeiten müssen, stellt sich die Frage, ob die Visualisierung durch Augmented Reality verbessert werden könnte.

Im Rahmen der Masterarbeit sollen Interviews mit Mitarbeitern in Einsatzleitstellen geführt werden. Ziel der Interviews ist es ein tieferes Verständnis für die Arbeitsabläufe und Entscheidungsprozesse in Einsatzleitstellen zu entwickeln. Dabei soll insbesondere untersucht werden, welche Arten von Social-Media-Daten von den Mitarbeitern als nützlich bewertet werden und wie diese mittels Augmented Reality visualisiert werden könnten. Bestehende Interviewkontakte sind keine Voraussetzung, es sollte aber die Bereitschaft bestehen sich selbstständig um Interviewkontakte zu bemühen.

Literatur:

  • Stieglitz, S., Mirbabaie, M., Fromm, J. & Melzer, S. (2018). The Adoption of Social Media Analytics for Crisis Management – Challenges and Opportunities. In Proceedings of the 26th European Conference on Information Systems (ECIS), Portsmouth, UK.
  • Cameron, M. A., Power, R., Robinson, B. & Yin, J. (2012). Emergency Situation Awareness from Twitter for Crisis Management. In Proceedings of the 21st International Conference on World Wide Web, 695-698.
  • Balduini, M., Celino, I., Dell’Aglio, D., Della Valle, E., Huang, Y., Lee, T., ... & Tresp, V. (2012). BOTTARI: An Augmented Reality Mobile Application to Deliver Personalized and Location-Based Recommendations by Continuous Analysis of Social Media Streams. Web Semantics: Science, Services and Agents on the World Wide Web, 16, 33-41.

Kontakt:

Jennifer Fromm

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

Managerial Reputation Management – A Social Capital Perspective

Zielgruppe:

Bachelor, Master

Anforderungen:

Qualitative methods/Interviews

Inhalte:

Reputation in organisational contexts can be understood as a valuable asset that requires diligent management. It directly affects how a firm is publicly perceived, and indirectly, how a firm will perform economically. The establishment of social media as ubiquitous tools of communication have changed how corporations manage their reputation. Particularly high executive managers face novel responsibilities, as they deal with their personal image, which at the same time affects the reputation of their firm. Whereas managerial and corporate reputation have been researched isolated from each other, little is known about the tension between a manager‘s personal social media reputationmanagement and the reputation of his firm. The thesis requires the willingness to educate yourself in qualitative research methods (e.g. designing, conducting and analysing interviews). Relations to potential interviewees are beneficial but not necessary. The motivation to recruit interview partners is required. The thesis may be authored in cooperation with a company if the company accepts to provide the candidate with interview partners and does not restrict the usage of data. Social capital theory may serve as a theoretical foundation for this thesis. It will be necessary to achieve a deep understanding of the theory and how it has been applied to Information Systems research.

Literatur:

  • Benthaus, J. 2014. “Making the Right Impression for Corporate Reputation: Analyzing Impression Management of Financial Institutions in Social Media”, Proceedings of the European Conference on Information Systems, Tel Aviv: Israel, pp. 1–17.
  • Deephouse, D. L. 2000. “Media Reputation as a Strategic Resource: An Integration of Mass Communication and Resource-Based Theories” in Journal of Management (26:6), pp. 1091–1112.
  • Francis, J., Huang, A. H., and Zang, A. M. Y. Y. 2008. “CEO Reputation and Earnings Quality” in Contemporary Accounting Research (25:1), pp. 109-147.
  • Hayward, M. L. A., Rindova, V. P., and Pollock, T. G. 2004. “Believing One’s Own Press: The Causes and Consequences of CEO Celebrity” in Strategic Management Journal (25:7), pp. 637–653.
  • Marx, J., Mirbabaie, M., Stieglitz, S. (2018). You are now an Influencer! Measuring CEO Reputation in Social Media. ACIS, Sydney, Australia.

Kontakt:

Julian Marx

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

Gestaltung eines Ordnungsrahmens für Gamification in der Arbeitswelt

Zielgruppe:

Bachelor, Master

Anforderungen:

Quantitative und Qualitative Analysen

Inhalte:

  1. Recherche zu aktuellen Trends aus Forschung und Wissenschaft zum Thema Gamification (Konferenzen, Veröffentlichungen, etc. –inkl. Quantitativer Analysen)
  2. Analyse aktueller Gamification Instrumente in der Arbeitswelt (qualitative Analyse)
  3. Ableitung und Strukturierung eines Ordnungsrahmens
  4. Zusammenfassung der Ergebnisse und Dokumentation der Arbeit

Literatur:

/

Kontakt:

Thomas Wiegand

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
  • Echokammern und Filterblasen in sozialen Netzwerken -- Kontakt

Communication and Collaboration

  • Digital Nudging zur Akzeptanzsteigerung / Nutzungsverbesserung -- Kontakt
  • Conversational Agents in virtueller Kollaboration -- Kontakt