宏观迭代性:一种用于研究复杂问题和重大问题的定性多弧设计

Macro-iterativity: A Qualitative Multi-arc Design for Studying Complex Issues and Big Questions

ORGANIZATIONAL RESEARCH METHODS · 2023
被引 3
人大 A-ABS 4

中文导读

提出宏观迭代性概念和多弧研究设计,通过发现弧和扩展弧的迭代连接,帮助学者研究复杂问题和重大问题,推动生成性理论构建。

Abstract

The impact and relevance of our discipline's research is determined by its ability to engage the big questions of the grand challenges we face today. Our central argument is that we need innovative methods that engage large-scope phenomena, not least because these phenomena benefit from going beyond individual study design. We introduce the concept of macro-iterativity which involves multiple iterations that move between, and link across, a set of research cycles. We offer a multi-arc research design that comprises the discovery arc and extension arc and three extension logics through which scholars can combine these arcs of inquiry in a coherent way. Based on this research design, we develop a roadmap that guides scholars through the four steps of how to engage in multi-arc research along with the main techniques and outputs. We argue that a multi-arc design supports the move toward more generative theorizing that is required for researching problems dealing with the complex issues and big questions of our time.

定性研究方法研究设计理论生成社会科学管理科学