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Communications Trend Radar 2023. State revival, scarcity management, unimagination, augmented workflows & parallel worlds

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  • Zerfaß, Ansgar
  • Stieglitz, Stefan
  • Clausen, Sünje
  • Ziegele, Daniel
  • Berger, Karen

Abstract

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.

Suggested Citation

  • Zerfaß, Ansgar & Stieglitz, Stefan & Clausen, Sünje & Ziegele, Daniel & Berger, Karen, 2023. "Communications Trend Radar 2023. State revival, scarcity management, unimagination, augmented workflows & parallel worlds," Communication Insights 17, Academic Society for Management & Communication – An initiative of the Günter Thiele Foundation, Leipzig.
  • Handle: RePEc:zbw:agukci:17
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    References listed on IDEAS

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    1. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
    2. Julia Thienen & Christoph Meinel & Claudia Nicolai, 2014. "How Design Thinking Tools Help To Solve Wicked Problems," Understanding Innovation, in: Larry Leifer & Hasso Plattner & Christoph Meinel (ed.), Design Thinking Research, edition 127, pages 97-102, Springer.
    3. Nelson Borges Amaral & Bin Chang & Rachel Burns, 2022. "Understanding consumer stockpiling: Insights provided during the COVID‐19 pandemic," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(1), pages 211-236, March.
    4. Marietheres Dietz & Günther Pernul, 2020. "Digital Twin: Empowering Enterprises Towards a System-of-Systems Approach," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(2), pages 179-184, April.
    5. Ida Merete Enholm & Emmanouil Papagiannidis & Patrick Mikalef & John Krogstie, 2022. "Artificial Intelligence and Business Value: a Literature Review," Information Systems Frontiers, Springer, vol. 24(5), pages 1709-1734, October.
    6. Stefan Stieglitz & Milad Mirbabaie & Nicholas R. J. Möllmann & Jannik Rzyski, 2022. "Collaborating with Virtual Assistants in Organizations: Analyzing Social Loafing Tendencies and Responsibility Attribution," Information Systems Frontiers, Springer, vol. 24(3), pages 745-770, June.
    7. Ravi Mehta & Meng Zhu, 2016. "Creating When You Have Less: The Impact of Resource Scarcity on Product Use Creativity," Journal of Consumer Research, Oxford University Press, vol. 42(5), pages 767-782.
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