Generative AI in Entrepreneurship Research: Principles and Practical Guidance for Intelligence Augmentation

被引：1
|
作者：
Ferrati, Francesco [1 ]
Kim, Phillip H. [2 ]
Muffatto, Moreno [1 ]
机构：
[1] Univ Padua, Sch Entrepreneurship SCENT, Dept Ind Engn, Padua, Italy
[2] Babson Coll, Arthur M Blank Ctr Entrepreneurship, Wellesley, MA USA
来源：
FOUNDATIONS AND TRENDS IN ENTREPRENEURSHIP | 2024年 / 20卷 / 03期
关键词：
Generative AI; ChatGPT; GPT; artificial intelligence; intelligence augmentation; large language models; prompt engineering; research process; entrepreneurship; ARTIFICIAL-INTELLIGENCE; TRUST;
D O I：
10.1561/0300000121
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This monograph investigates the integration of generative artificial intelligence (AI) into the academic research process of entrepreneurship. Specifically, we explore using Large Language Models (LLMs) like ChatGPT in several research scenarios to support novice and established researchers. As a practical guide, we introduce researchers to prompt engineering - formulating instructions for the LLMs to generate a desired output. We classify different types of prompts, present various technical strategies, and suggest the design of an effective prompt formula. We illustrate the prompt engineering process with different examples for entrepreneurship research.
引用
收藏
页码：245 / 383
页数：139
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