TY  - RPRT
A1  - Zerfaß, Ansgar
A1  - Stieglitz, Stefan
A1  - Clausen, Sünje
A1  - Ziegele, Daniel
A1  - Berger, Karen
T1  - Communications trend radar 2023
BT  - state revival, scarcity management, unimagination, augmented
workflows & parallel worlds
T2  - Communication insights
N2  - How do social changes, new technologies or new management trends affect communication work? A team of researchers at Leipzig University and the University of Potsdam (Germany) observed new developments in related disciplines. As a result, the five most important trends for corporate communications are identified annually and published in the Communications Trend Radar. Thus, Communications managers can identify challenges and opportunities at an early stage, take a position, address issues and make decisions. For 2023, the Communications Trend Radar identifies five key trends for corporate communications: State Revival, Scarcity Management, Unimagination, Parallel Worlds, Augemented Workflows.
KW  - public relation
KW  - trend
KW  - country
KW  - stakeholders
KW  - bottleneck
KW  - resilience
KW  - artificial intelligence
KW  - virtual reality
Y1  - 2023
UR  - https://hdl.handle.net/10419/270993
U6  - https://doi.org/10419/270993
SN  - 2749-893X
VL  - 17
PB  - Academic Society for Management & Communication
CY  - Leipzig
ER  - 
TY  - CHAP
A1  - Kocur, Alexander
A1  - Clausen, Sünje
A1  - Hofeditz, Lennart
A1  - Brünker, Felix
A1  - Fromm, Jennifer
A1  - Stieglitz, Stefan
T1  - Fighting false information
BT  - designing a conversational agent for public sector organizations
T2  - ECIS 2023 research-in-progress papers
N2  - The digital transformation poses challenges for public sector organizations (PSOs) such as the dissemination of false information in social media which can cause uncertainty among citizens and decrease trust in the public sector. Some PSOs already successfully deploy conversational agents (CAs) to communicate with citizens and support digital service delivery. In this paper, we used design science research (DSR) to examine how CAs could be designed to assist PSOs in fighting false information online. We conducted a workshop with the municipality of Kristiansand, Norway to define objectives that a CA would have to meet for addressing the identified false information challenges. A prototypical CA was developed and evaluated in two iterations with the municipality and students from Norway. This research-in-progress paper presents findings and next steps of the DSR process. This research contributes to advancing the digital transformation of the public sector in combating false information problems.
KW  - false information
KW  - conversational agents
KW  - crisis communication
KW  - media literacy
Y1  - 2023
UR  - https://aisel.aisnet.org/ecis2023_rip/65
PB  - AIS Electronic Library (AISeL)
CY  - [Erscheinungsort nicht ermittelbar]
ER  - 
TY  - CHAP
A1  - Clausen, Sünje
A1  - Brünker, Felix
A1  - Stieglitz, Stefan
T1  - Towards responsible augmentation
BT  - identifying characteristics of AI-based technology with ethical implications for knowledge workers
T2  - ACIS 2023 proceedings
N2  - Artificial intelligence (AI)-based technologies can increasingly perform knowledge work tasks, such as medical diagnosis. Thereby, it is expected that humans will not be replaced by AI but work closely with AI-based technology (“augmentation”). Augmentation has ethical implications for humans (e.g., impact on autonomy, opportunities to flourish through work), thus, developers and managers of AI-based technology have a responsibility to anticipate and mitigate risks to human workers. However, doing so can be difficult as AI encompasses a wide range of technologies, some of which enable fundamentally new forms of interaction. In this research-in-progress paper, we propose the development of a taxonomy to categorize unique characteristics of AI-based technology that influence the interaction and have ethical implications for human workers. The completed taxonomy will support researchers in forming cumulative knowledge on the ethical implications of augmentation and assist practitioners in the ethical design and management of AI-based technology in knowledge work.
KW  - artificial intelligence
KW  - augmentation
KW  - taxonomy
KW  - human-AI interaction
KW  - ethics
Y1  - 2023
UR  - https://aisel.aisnet.org/acis2023/123/
PB  - Australasian Association for Information Systems
CY  - Wellington
ER  -