4期

最新文章

• GHOST IN THE MACHINE: ON ORGANIZATIONAL THEORY IN THE AGE OF MACHINE LEARNING AI翻译
  作者：Leavitt, Keith; Schabram, Kira; Hariharan, Prashanth; Barnes, Christopher M.
  作者单位：Oregon State University; University of Washington; University of Washington Seattle; Indian School of Business (ISB); University of Washington; University of Washington Seattle
  摘要：With rapid advancements inmachine learning, we consider the epistemological opportunities presented by thisnovel tool for promoting organizational theory. Our paperun folds in three sections. We begin with an overview of the three forms of machine learning(supervised, reinforcement, and unsupervised), translating these onto our common modes of research (deductive, abductive, inductive, respectively). Next, we present frank critiques of machine learning applications for science, aswell as of th...
• INTRODUCTION TO SPECIAL TOPIC FORUM THE EVOLVING SCIENCE OF ORGANIZATION: THEORY MATTERS AI翻译
  作者：Haveman, Heather A.; Mahoney, Joseph T.; Mannix, Elizabeth
  作者单位：University of California System; University of California Berkeley; University of Illinois System; University of Illinois Urbana-Champaign; Cornell University
• THE THEORY CRISIS IN MANAGEMENT RESEARCH: SOLVING THE RIGHT PROBLEM AI翻译
  作者：Cronin, Matthew A.; Stouten, Jeroen; van Knippenberg, Daan
  作者单位：George Mason University; KU Leuven; Drexel University
  摘要：There's nothing so practical as a good theory, yet there is growing concern that management theory is not very useful or usable. Many scholars are seeking to fix the growing disconnect between theory and managerial realities, as well as the overabundance of weak and untested theory. Our concern is that all this discussion focuses on improving unit theory, which frames empirical work on specific aspects of a phenomenon, rather than programmatic theory, which orients scholars and practitioners t...
• CAPTURING CAUSAL COMPLEXITY: HEURISTICS FOR CONFIGURATIONAL THEORIZING AI翻译
  作者：Furnari, Santi; Crilly, Donal; Misangyi, Vilmos F.; Greckhamer, Thomas; Fiss, Peer C.; Aguilera, Ruth, V
  作者单位：City St Georges, University of London; University of London; London Business School; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Louisiana State University System; Louisiana State University; University of Southern California; Northeastern University; Universitat Ramon Llull; Escuela Superior de Administracion y Direccion de Empresas (ESADE)
  摘要：Management scholars study phenomena marked by complex interdependencies among multiple explanatory factors that combine to bring about an outcome of interest. Yet, theorizing about causal complexity can prove challenging for the correlational theorizing that is predominant in the field of management, given its net effects thinking that emphasizes the unique contribution of individual explanatory factors. In contrast, configurational theories and thinking are well suited to explaining causally ...