Assessing the Business Impact of Artificial Intelligence

Abstract

This research introduces two artefacts that contribute to the common understanding of Artificial Intelligence (AI) and aim to provide guidance for designing AI applications. On the one hand, the periodic table of AI structures the broad spectrum of AI technologies and an AI application design model supports the business-oriented conception of AI technologies. Both artefacts are key for the development of an AI impact analysis model to evaluate further organizational impacts and potentials for redesign. The research was motivated by the findings of a survey on AI application examples in a research consortium consisting of German, Swiss and Austrian bank and IT provider managers and a business user group of a Swiss private bank. Both artefacts showed to be helpful tools for change management and IT/business architects.

Artificial Intelligence for Managerial Information Processing and Decision-Making in the Era of Information Overload

“…AI can support managerial decision-making with a broad range of functionalities [35]. To make them comparable to human abilities, the human intelligence abilities of Gardner (1999), Dietzmann and Alt (2020) mapped the AI functionalities along the agent-based AI definition of Russell and Norvig (2016) in a periodic table [36] [37] [38]. The complexity of every single AI functionality contained in the periodic table of AI can be measured by the number of associated human intelligencesthe more human intelligences are mapped onto a functionality, the more complex it is to design such an AI-based application.…”

Introduction to the Minitrack on Artificial Intelligence-based Assistants

“…Meanwhile, applications are not limited to simple structured problems, but even applications higher complexities are feasible, which require higher levels of "intelligence". To avoid discussions on the ambivalent notion of "intelligence", it shall refer to tasks involving perception, processing, action and learning [2]. Many applications are possible along these activities, in particular a user's interaction via natural language.…”

AI and robotics in the European restaurant sector: Assessing potentials for process innovation in a high-contact service industry

“…In particular, the technologies for restaurant operations represent a rather novel phenomenon (Berezina et al 2019;Mathath and Fernando 2015). Companies still have difficulties in creating business value from the technological potentials of AI and robotics (Alsheibani et al 2020;Dietzmann and Alt 2020;Hofmann et al 2020). Moreover, restaurant managers are confronted with the question of how to manage the shift of manual tasks from service employees to technological systems, especially in times of staff shortage and growing concerns of job replacements (CUF 2018; World Economic Forum 2018).…”