eprintid: 10195951
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/19/59/51
datestamp: 2024-08-20 10:52:06
lastmod: 2024-08-20 10:52:06
status_changed: 2024-08-20 10:52:06
type: working_paper
metadata_visibility: show
sword_depositor: 699
creators_name: Doshi, Anil R
creators_name: Bell, J Jason
creators_name: Mirzayev, Emil
creators_name: Vanneste, Bart
title: Generative Artificial Intelligence and Evaluating Strategic Decisions
ispublished: pub
divisions: UCL
divisions: B04
divisions: F49
keywords: generative artificial intelligence, artificial intelligence (AI), large language models (LLMs), strategic decision making, strategic decisions, business models
note: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: Strategic decisions are uncertain and often irreversible. Hence, predicting the value of alternatives is important for strategic decision making. We investigate the use of generative artificial intelligence (AI) in evaluating strategic alternatives using business models generated by AI (study 1) or submitted to a competition (study 2). Each study uses a sample of 60 business models and examines agreement in business model rankings made by large language models (LLMs) and those by human experts. We consider multiple LLMs, assumed LLM roles, and prompts. We find that generative AI often produces evaluations that are inconsistent and biased. However, when aggregating evaluations, AI rankings tend to resemble those of human experts. This study highlights the value of generative AI in strategic decision making by providing predictions.
date: 2024-02-15
publisher: SSRN
official_url: https://doi.org/10.2139/ssrn.4714776
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2306212
lyricists_name: Doshi, Anil
lyricists_id: ARDOS53
actors_name: Doshi, Anil
actors_id: ARDOS53
actors_role: owner
full_text_status: public
place_of_pub: Amsterdam, Netherlands
pages: 63
citation:        Doshi, Anil R;    Bell, J Jason;    Mirzayev, Emil;    Vanneste, Bart;      (2024)    Generative Artificial Intelligence and Evaluating Strategic Decisions.                    SSRN: Amsterdam, Netherlands.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10195951/1/ssrn-4714776-3.pdf