Above and beyond Amazon’s Alexa and Apple’s Siri, which are prevalent in the home, in offices gen AI apps are gaining traction. Compared to keyboard, mouse, or touch, we argue that especially managers would benefit from voice-first assistants as they provide information faster than click-by-click navigation and minimize cognitive effort. This article presents a voice-first assistant that supports managers in navigating as naturally as possible in management reports. We opted for Design Science Research in Information Systems as our research approach and chose an energy utility as our reference company. Combining findings from the human-computer interaction (HCI) literature with lessons learned from a design cycle in practice, we provide an IS architecture and five takeaways to drive future discussions. (1) Our research is grounded in theory by extending the knowledge about task-technology fit (TTF) theory from HCI literature with the topical use case of management reports. (2) We use a rigorous method mix that entails a case study and interviews within and beyond the reference company so that they are balanced and more widely applicable. (3) For practice, our artifact should assist companies in assessing voice-first use cases for managers more balanced – outweighing human, task, and IT criteria.

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Leveraging Voice Assistants for Managers

  • Jörg H. Mayer,
  • Mathias Münch,
  • Reiner Quick,
  • Kai-Peter Menck

摘要

Above and beyond Amazon’s Alexa and Apple’s Siri, which are prevalent in the home, in offices gen AI apps are gaining traction. Compared to keyboard, mouse, or touch, we argue that especially managers would benefit from voice-first assistants as they provide information faster than click-by-click navigation and minimize cognitive effort. This article presents a voice-first assistant that supports managers in navigating as naturally as possible in management reports. We opted for Design Science Research in Information Systems as our research approach and chose an energy utility as our reference company. Combining findings from the human-computer interaction (HCI) literature with lessons learned from a design cycle in practice, we provide an IS architecture and five takeaways to drive future discussions. (1) Our research is grounded in theory by extending the knowledge about task-technology fit (TTF) theory from HCI literature with the topical use case of management reports. (2) We use a rigorous method mix that entails a case study and interviews within and beyond the reference company so that they are balanced and more widely applicable. (3) For practice, our artifact should assist companies in assessing voice-first use cases for managers more balanced – outweighing human, task, and IT criteria.