AI-Powered Chatbots and the Transformation of Work: Findings from a Case Study in Software Development and Software Engineering

Thomas Süße and Maria Kobert and Simon Grapenthin and Bernd-Friedrich Voigt

The recent technological enhancements in the field of large language models and their integration into collaborative processes, for example, as chatbots, are perceived as key drivers for further transformations of work. However, the transformative effects of these technological enhancements have to be more thoroughly investigated in specific work contexts to benefit from the great potential of improvement. This research article provides findings of a case study research on how employees in software engineering perceive the collaboration with AI-powered chatbots, such as chatGPT. We investigate patterns employees develop to cope with the novel demands arising during the collaboration with these technologies and discuss our empirical findings regarding a conceptual framework of AI-related competences and another case study from a different industry. The findings contribute to a better understanding of human actors’ AI-related coping patterns as key prerequisites for a more responsible and sustainable usage of this technology in professional work contexts.

Links

    Cite as

    Thomas Süße, Maria Kobert, Simon Grapenthin, Bernd-Friedrich Voigt: AI-Powered Chatbots and the Transformation of Work: Findings from a Case Study in Software Development and Software Engineering. In: Camarinha-Matos, Luis M.; Boucher, Xavier; Ortiz, Angel (Ed.): Collaborative Networks in Digitalization and Society 5.0, pp. 689–705, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-42622-3.

    BibTeX (Download)

    @inproceedings{10.1007/978-3-031-42622-3_49,
title = {AI-Powered Chatbots and the Transformation of Work: Findings from a Case Study in Software Development and Software Engineering},
author = {Thomas Süße and Maria Kobert and Simon Grapenthin and Bernd-Friedrich Voigt},
editor = {Luis M. Camarinha-Matos and Xavier Boucher and Angel Ortiz},
isbn = {978-3-031-42622-3},
year  = {2023},
date = {2023-01-01},
booktitle = {Collaborative Networks in Digitalization and Society 5.0},
pages = {689–705},
publisher = {Springer Nature Switzerland},
address = {Cham},
abstract = {The recent technological enhancements in the field of large language models and their integration into collaborative processes, for example, as chatbots, are perceived as key drivers for further transformations of work. However, the transformative effects of these technological enhancements have to be more thoroughly investigated in specific work contexts to benefit from the great potential of improvement. This research article provides findings of a case study research on how employees in software engineering perceive the collaboration with AI-powered chatbots, such as chatGPT. We investigate patterns employees develop to cope with the novel demands arising during the collaboration with these technologies and discuss our empirical findings regarding a conceptual framework of AI-related competences and another case study from a different industry. The findings contribute to a better understanding of human actors' AI-related coping patterns as key prerequisites for a more responsible and sustainable usage of this technology in professional work contexts.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}