{"title":"价值如何创造价值:实践推理框架","authors":"T. Donaldson","doi":"10.1177/26317877211036712","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":50648,"journal":{"name":"Computational and Mathematical Organization Theory","volume":"8 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"How Values Ground Value Creation: The practical inference framework\",\"authors\":\"T. Donaldson\",\"doi\":\"10.1177/26317877211036712\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":50648,\"journal\":{\"name\":\"Computational and Mathematical Organization Theory\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2021-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational and Mathematical Organization Theory\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1177/26317877211036712\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and Mathematical Organization Theory","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/26317877211036712","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
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.
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.