Angsana A. Techatassanasoontorn
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About
Professor Angsana A. Techatassanasoontorn is a faculty member at Auckland University of Technology in New Zealand. Her research focuses on the intersection of information technology and human interaction, with recent articles exploring topics such as the role of identities in information systems, human-robot collaboration, and the characteristics of human-chatbot interactions. She is dedicated to understanding the implications of digital technologies for organizational practices and user experiences.
Articles (5)
Year:
2024
Robotic process automation (RPA) is often used in organisational digitalisation efforts to automate work processes. RPA, and the software robots at its heart, is an equivocal and contentious technology. Adopting the products of theorising approach, this study views metaphors as central sensemaking and sensegiving devices that shape the interpretation of RPA among stakeholders towards a preferred reality of ways of seeing and experiencing software robots. The empirical materials are drawn from research in three Australasian organisations that have implemented RPA. Grounding our analysis in the domains-interaction model, we identified three root metaphors: person, robot and tool, their constitutive conceptual metaphors, and intended use as heuristics devices. Our findings show that metaphor is a powerful device that employees rely on to make sense of their experiences with a new digital technology that can potentially shape their roles, work practices and job design. In addition, managers and automation team members intentionally leverage metaphors to shape others’ perceptions of a software robot’s capabilities and limitations, its implication for human work and its expanding benefits for organisations over time, among others. Metaphor as a precursor to more formal theory provides scholars with a vocabulary to understand disparate experiences with an emergent automation technology that can be further developed to generate a theory of seeing automation and working with automated agents.
Year:
2023
Year:
2022
Year:
2022
Year:
2021
Collaborators (4)
Farkhondeh Hassandoust
Senior Lecturer
University of Auckland
Lena Waizenegger
Senior Lecturer
University of Auckland
Antonio Diaz Andrade
Professor
University of Agder
Bill Doolin
University of Auckland
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