{"title":"Theorizing Gets Personal: Management Academia in the Mirror of Independent Work","authors":"Gianpiero Petriglieri, S. Ashford","doi":"10.1177/26317877231153188","DOIUrl":null,"url":null,"abstract":"With the rise of a global marketplace for research ideas, and the increased precarity of teaching positions, academic labor occurs more so than ever in conditions that resemble those faced by independent workers. We came to this realization in the process of bridging these two worlds, so dissimilar institutionally and yet so resonant existentially. The freedom that must be coped with, the personal investment work, and the precariousness experienced, for both independent workers and academics, contribute to an obsession with productivity as a way to manage strong and conflicting emotions attendant to work. This essay offers a lens to interpret that obsession, and some advice for countering it and crafting a viable and vital working life, by cultivating connections to significant people, a specific and evocative place to work, soothing routines, and an overarching purpose. We must examine the experience of those who theorize for a living, this essay argues, if we aspire to bring theories to life. Focusing on the personal, existential experience of “being” an academic, the essay complements work on the social and institutional challenges of “doing” academia, and contends that sustaining personal investment in work is essential to developing more pluralistic and potent theories about the contemporary world of work.","PeriodicalId":50648,"journal":{"name":"Computational and Mathematical Organization Theory","volume":"104 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and Mathematical Organization Theory","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/26317877231153188","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}
引用次数: 0
Abstract
With the rise of a global marketplace for research ideas, and the increased precarity of teaching positions, academic labor occurs more so than ever in conditions that resemble those faced by independent workers. We came to this realization in the process of bridging these two worlds, so dissimilar institutionally and yet so resonant existentially. The freedom that must be coped with, the personal investment work, and the precariousness experienced, for both independent workers and academics, contribute to an obsession with productivity as a way to manage strong and conflicting emotions attendant to work. This essay offers a lens to interpret that obsession, and some advice for countering it and crafting a viable and vital working life, by cultivating connections to significant people, a specific and evocative place to work, soothing routines, and an overarching purpose. We must examine the experience of those who theorize for a living, this essay argues, if we aspire to bring theories to life. Focusing on the personal, existential experience of “being” an academic, the essay complements work on the social and institutional challenges of “doing” academia, and contends that sustaining personal investment in work is essential to developing more pluralistic and potent theories about the contemporary world of work.
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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