Gräf, Miriam ; Mehler, Maren F. ; Ellenrieder, Sara (2024)
AI Strategy in Action: A Case Study on Make-or-Buy for AI-based Services.
Pacific Asia Conference on Information Systems (PACIS). Ho Chi Minh City, Vietnam (01.-05.07.2024)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Organizations integrating artificial intelligence (AI) services to optimize their performance regularly face a make-or-buy (MoB) decision, whether they develop AI services internally, purchase from external providers, or decide on a combination of both. The literature lacks detailed knowledge on how MoB decisions for AI-based services are uniquely influenced. We conducted a case study in a large mobility and logistics organization to derive these factors. We interviewed 16 experts on AI and MoB decisions to validate existing factors regarding MoB for IT and identify additional factors specific to AI services. Our findings suggest that strategic importance and data security are particularly relevant when making MoB decisions for AI services. In addition, the latter and case differentiation are specific factors we identified for AI services. The guidelines derived from our study provide a framework for organizations and scholars to evaluate MoB for AI services for informed decisions that align with their strategy.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Gräf, Miriam ; Mehler, Maren F. ; Ellenrieder, Sara |
| Art des Eintrags: | Bibliographie |
| Titel: | AI Strategy in Action: A Case Study on Make-or-Buy for AI-based Services |
| Sprache: | Englisch |
| Publikationsjahr: | Juli 2024 |
| Ort: | Atlanta |
| Verlag: | AIS eLibrary |
| Buchtitel: | PACIS 2024 Proceedings |
| Veranstaltungstitel: | Pacific Asia Conference on Information Systems (PACIS) |
| Veranstaltungsort: | Ho Chi Minh City, Vietnam |
| Veranstaltungsdatum: | 01.-05.07.2024 |
| URL / URN: | https://aisel.aisnet.org/pacis2024/track01_aibussoc/track01_... |
| Kurzbeschreibung (Abstract): | Organizations integrating artificial intelligence (AI) services to optimize their performance regularly face a make-or-buy (MoB) decision, whether they develop AI services internally, purchase from external providers, or decide on a combination of both. The literature lacks detailed knowledge on how MoB decisions for AI-based services are uniquely influenced. We conducted a case study in a large mobility and logistics organization to derive these factors. We interviewed 16 experts on AI and MoB decisions to validate existing factors regarding MoB for IT and identify additional factors specific to AI services. Our findings suggest that strategic importance and data security are particularly relevant when making MoB decisions for AI services. In addition, the latter and case differentiation are specific factors we identified for AI services. The guidelines derived from our study provide a framework for organizations and scholars to evaluate MoB for AI services for informed decisions that align with their strategy. |
| Fachbereich(e)/-gebiet(e): | 01 Fachbereich Rechts- und Wirtschaftswissenschaften 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Wirtschaftsinformatik 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Fachgebiet Software Business & Information Management |
| Hinterlegungsdatum: | 21 Jul 2024 14:35 |
| Letzte Änderung: | 21 Jul 2024 14:35 |
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