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Developing Purposeful AI Use Cases : A Structured Method and Its Application in Project Management

Title data

Hofmann, Peter ; Jöhnk, Jan ; Protschky, Dominik ; Urbach, Nils:
Developing Purposeful AI Use Cases : A Structured Method and Its Application in Project Management.
2020
Event: 15th International Conference on Wirtschaftsinformatik (WI) , 09.-11.03.2020 , Potsdam.
(Conference item: Conference , Speech )

Official URL: Volltext

Abstract in another language

An appropriate problem-solution-fit is essential to develop purposeful artificial intelligence (AI) applications. However, in domains with an unintuitive problem-solution-fit, such as project management (PM), organizations require methodological guidance. Hence, we propose a five-step method to develop organization-specific AI use cases: First, companies must consider the context factors technology, organization (in particular data and application domain), and environment. Second, companies must identify existing domain problems and AI solutions. Third, our method facilitates abstraction to understand the underlying nature of the identified problems and AI solutions. Fourth, our problem-solutionmatrix assists companies to match AI functions with the domain context. Fifth, companies derive necessary implications for the subsequent use case implementation. To construct and evaluate our method, we followed the design science research paradigm complemented by situational method engineering and based on 14 interviews. Our method addresses a relevant practical problem and contributes to identifying purposeful AI use cases in unintuitive application domains.

Further data

Item Type: Conference item (Speech)
Refereed: Yes
Keywords: Artificial Intelligence; Project Management; Use Case Development; Design Science Research; Situational Method Engineering
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professor Information Systems Management and Strategic IT Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professor Information Systems Management and Strategic IT Management > Professor Information Systems Management and Strategic IT Management - Univ.-Prof. Dr. Nils Urbach
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 06 Dec 2019 08:43
Last Modified: 06 Dec 2019 08:43
URI: https://eref.uni-bayreuth.de/id/eprint/53502