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How affordances of chatbots cross the chasm between social and traditional enterprise systems

Author

Listed:
  • Emanuel Stoeckli

    (University of St. Gallen)

  • Christian Dremel

    (University of St. Gallen)

  • Falk Uebernickel

    (University of St. Gallen)

  • Walter Brenner

    (University of St. Gallen)

Abstract

Digital and agile companies widely use chatbots in the form of integrations into enterprise messengers such as Slack and Microsoft Teams. However, there is a lack of empirical evidence about their action possibilities (i.e., affordances), for example, to link social interactions with third-party systems and processes. Therefore, we adopt a three-stage process. Grounded in a preliminary study and a qualitative study with 29 interviews from 17 organizations, we inductively derive rich contextual insights of 14 affordances and constraints, which serve as input for a Q-Methodology study that highlights five perceptional differences. We find that actualizing these affordances leads to higher-level affordances of chatbots that augment social information systems with affordances of traditional enterprise systems. Crossing the chasm between these, so far, detached systems contributes a novel perspective on how to balance novel digital with traditional systems, flexibility and malleability with stability and control, exploration with exploitation, and agility with discipline.

Suggested Citation

  • Emanuel Stoeckli & Christian Dremel & Falk Uebernickel & Walter Brenner, 2020. "How affordances of chatbots cross the chasm between social and traditional enterprise systems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(2), pages 369-403, June.
  • Handle: RePEc:spr:elmark:v:30:y:2020:i:2:d:10.1007_s12525-019-00359-6
    DOI: 10.1007/s12525-019-00359-6
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    Cited by:

    1. Rainer Alt, 2020. "Electronic Markets on blockchain markets," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(2), pages 181-188, June.
    2. Rainer Alt, 2021. "Electronic Markets on robotics," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 465-471, September.
    3. Ransome Epie Bawack & Samuel Fosso Wamba & Kevin Daniel André Carillo & Shahriar Akter, 2022. "Artificial intelligence in E-Commerce: a bibliometric study and literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 297-338, March.
    4. Mark Anthony Camilleri & Ciro Troise, 2023. "Live support by chatbots with artificial intelligence: A future research agenda," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 61-80, March.

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    More about this item

    Keywords

    Social information systems; Enterprise systems; Chatbot; Slack; Enterprise messenger; Affordances;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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