基于社会技术基础理论的定性研究

English | 2024 | ISBN: 978-3-031-60533-8 | 379 pages | True PDF | 25 MB

This book is a timely and practical guide to conducting qualitative research with a socio-technical approach. It covers the foundations of research including research design, research philosophy, and literature review; describes qualitative data collection, qualitative data preparation and filtering; explains qualitative data analysis using the techniques of socio-technical grounded theory (STGT); and presents the advanced techniques of qualitative theory development using emergent or structured modes. It provides guidance on evaluating qualitative research application and outcomes; and explores the possible role of Artificial Intelligence (AI) in qualitative research in the future.

The book is structured into five parts. Part I – Introduction includes three chapters that serve to provide: an overview of the book in Chapter 1; a brief history of the origins and evolution of the GT methods in Chapter 2; and an introduction to STGT in Chapter 3. Part II – Foundations of Research includes three chapters that cover: the building blocks of empirical research through a simple yet powerful approach to designing research methods (the research design canvas) in Chapter 4; the fundamental concepts of research philosophy in Chapter 5; and the myriad of literature review methods including those suited to STGT in Chapter 6. Part III – Qualitative Data Collection and Analysis includes four chapters that explain: the key concepts related to collecting qualitative data in Chapter 7; techniques used for collecting qualitative data in Chapter 8; how to go about preparing and filtering qualitative data in Chapter 9; and the qualitative data analysis procedures of open coding, constant comparison, and memoing in Chapter 10. Part IV – Theory Development includes two chapters that explain: what is considered theory (or theoretical outcomes) in Chapter 11; and the advanced STGT steps of theory development in Chapter 12. Eventually, Part V – Evaluation and Future Directions includes two chapters that: present the evaluation guidelines for assessing STGT applications and outcomes in Chapter 13; and explore new opportunities in qualitative research using large language models in Chapter 14.

This book enables new and experienced researchers in modern as well as traditional disciplines to conduct rigorous qualitative research on socio-technical topics in the digital world. They will be able to approach qualitative research with confidence and produce valuable research outcomes in the form of rich descriptive findings, taxonomies, theoretical models, theoretical frameworks, preliminary and mature theories, recommendations, and guidelines, all grounded in empirical evidence.

英文|2024|ISBN:978-3-031-60533-8|379页|True PDF|25 MB本书是用社会技术方法进行定性研究的及时实用指南。它涵盖了研究的基础，包括研究设计、研究理念和文献综述；描述了定性数据的收集、定性数据的准备和过滤；使用社会技术基础理论（STGT）的技术解释定性数据分析；并介绍了使用涌现或结构化模式进行定性理论发展的先进技术。它为评估定性研究应用和成果提供了指导；并探讨了人工智能（AI）在未来定性研究中的可能作用。 这本书分为五个部分。第一部分——引言包括三章，旨在提供：第一章概述本书；第二章GT方法的起源和演变简史；第三章介绍了STGT。第二部分——研究基础包括三章，涵盖：第四章通过简单而强大的研究方法设计方法（研究设计画布）构建实证研究的基石；第五章研究哲学的基本概念；以及无数文献综述方法，包括第6章中适用于STGT的方法。第三部分——定性数据收集和分析包括四章，解释了：第7章中与收集定性数据相关的关键概念；第8章中用于收集定性数据的技术；如何在第9章中准备和过滤定性数据；第10章介绍了开放编码、常量比较和记忆的定性数据分析程序。第四部分——理论发展包括两章，分别解释：第11章中的理论（或理论成果）是什么；第12章介绍了STGT理论发展的先进步骤。最终，第五部分——评估和未来方向包括两章：在第13章中介绍评估STGT应用和结果的评估指南；并在第14章中探索使用大型语言模型进行定性研究的新机会。 这本书使现代和传统学科的新的和有经验的研究人员能够对数字世界中的社会技术主题进行严格的定性研究。他们将能够自信地进行定性研究，并以丰富的描述性发现、分类法、理论模型、理论框架、初步和成熟的理论、建议和指导方针的形式产生有价值的研究成果，所有这些都以实证证据为基础。

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