AI for Qualitative Research: A Hands-On Guide for Management Scholars
暫譯: 質性研究中的人工智慧：管理學者的實用指南

Garcia Quevedo, Diana, Kuri, Josue

AI for Qualitative Research: A Hands-On Guide for Management Scholars
  • 出版商: Palgrave MacMillan
  • 出版日期: 2026-01-23
  • 售價: $1,820
  • 貴賓價: 9.5 折 $1,729
  • 語言: 英文
  • 頁數: 174
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032088712
  • ISBN-13: 9783032088710
  • 相關分類: Large language model

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商品描述

This open access book will guide qualitative researchers in the social sciences with little to no coding experience in leveraging large language models (LLMs). Responding to a lack of instructional materials that recognize the need to equip qualitative researchers with the most advanced tools, this book offers a research-focused guide to harness the power of LLMs.

The content is divided into two parts, beginning with an introduction to LLMs, natural language processing, and machine learning, as well as a historical and ethical perspective on the use of AI in research. The second part of the book serves as a hands-on guide, providing step-by-step instructions for the use of LLMs to analyze large datasets. It is written with practical cases, taken from management sciences, and emphasizes maintaining a close connection to the data throughout the process. It will be highly valuable to researchers in management studies, as well as in the wider social sciences.

商品描述(中文翻譯)

這本開放存取的書籍將指導在社會科學領域中幾乎沒有程式編碼經驗的質性研究者如何利用大型語言模型（LLMs）。針對缺乏能夠幫助質性研究者掌握最先進工具的教學材料，這本書提供了一個以研究為重點的指南，以發揮LLMs的力量。

內容分為兩個部分，首先介紹LLMs、自然語言處理和機器學習，以及對於在研究中使用人工智慧的歷史和倫理觀點。書籍的第二部分作為實作指南，提供逐步的指導，教導如何使用LLMs來分析大型數據集。書中以管理科學中的實際案例為基礎，強調在整個過程中與數據保持緊密聯繫。這對於管理研究以及更廣泛的社會科學研究者將具有極高的價值。

作者簡介

Diana Garcia Quevedo is a Visiting Professor at Clemson University, South Carolina, US, and a recipient of the Stand Up for Science fund at ESCP Business School, where she studies innovation in entrepreneurship and green venturing. Her research focuses on the impact of women entrepreneurs on the economy and society. She also works on new methods for qualitative research, particularly large language models, to analyze large amounts of online data inductively.

Josue Kuri is a Principal Scientist at Amazon Web Services (AWS), where he leads cloud infrastructure planning automation efforts. At AWS, he pioneered the use of machine learning for network forecasting and the development of a digital twin platform to optimize large-scale digital infrastructure. Prior to AWS, he worked at Google and Facebook (now Meta) on the operational and strategic planning of network infrastructure, including investments in submarine cables. Additionally, he pursues an interest in expanding the use of AI in research and education.

作者簡介(中文翻譯)

Diana Garcia Quevedo 是美國南卡羅來納州克萊姆森大學的訪問教授，也是ESCP商學院「支持科學」基金的獲獎者，她研究創業與綠色創業的創新。她的研究重點在於女性企業家對經濟和社會的影響。她還致力於開發新的定性研究方法，特別是大型語言模型，以歸納分析大量的在線數據。

Josue Kuri 是亞馬遜網路服務（AWS）的首席科學家，負責雲基礎設施規劃自動化工作。在AWS，他開創了使用機器學習進行網路預測的先例，並開發了一個數位雙胞胎平台，以優化大規模數位基礎設施。在加入AWS之前，他曾在Google和Facebook（現為Meta）從事網路基礎設施的運營和戰略規劃，包括對海底電纜的投資。此外，他對擴大人工智慧在研究和教育中的應用也抱有興趣。

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