价值如何创造价值:实践推理框架

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational and Mathematical Organization Theory Pub Date : 2021-08-01 DOI:10.1177/26317877211036712
T. Donaldson
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引用次数: 8

摘要

经过二十多年的探索,将规范整合到管理和组织研究中的圣杯仍然难以捉摸。研究人员仍然缺乏一个清晰的框架来解释价值创造与规范价值观的关系,反过来,也缺乏一种将价值观纳入研究方法并产生基于价值的实践见解的手段。为了满足这一需求,本文提出了一个理解价值创造的认识论框架。实践推理框架以实践推理活动为中心,实践推理是一种由内在价值赋予正当性的推理。它通过寻找理由而不是原因,寻找证明而不是描述,彻底改变了普通的认知方程。在此过程中,它展示了因素分析和更新的、不同的研究方法如何与一个强大的价值创造架构相结合,为管理者和社会提供相关知识。
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How Values Ground Value Creation: The practical inference framework
After more than two decades of searching, the holy grail of integrating norms into management and organization research remains elusive. Researchers still lack a clear framework that explains value creation in relation to normative values, and, in turn, a means to incorporate values into research methods and generate value-based practical insights. To fill that need, this article presents an epistemological framework for understanding value creation. The practical inference framework centers on the activity of practical reasoning, a kind of reasoning that is legitimized by intrinsic values. It turns the ordinary epistemic equation on its head by seeking reasons rather than causes, and justifications rather than descriptions. In doing so, it shows how both factor analytic and newer, divergent methods of research can integrate with a robust architecture of value creation in ways that offer relevant knowledge for managers and society.
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来源期刊
Computational and Mathematical Organization Theory
Computational and Mathematical Organization Theory COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
3.80
自引率
16.70%
发文量
14
审稿时长
>12 weeks
期刊介绍: Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques. Various types of papers and underlying research are welcome. Papers presenting, validating, or applying models and/or computational techniques, new algorithms, dynamic metrics for networks and complex systems and papers comparing, contrasting and docking computational models are strongly encouraged. Both applied and theoretical work is strongly encouraged. The editors encourage theoretical research on fundamental principles of social behaviour such as coordination, cooperation, evolution, and destabilization. The editors encourage applied research representing actual organizational or policy problems that can be addressed using computational tools. Work related to fundamental concepts, corporate, military or intelligence issues are welcome.
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