-
作者:King, Andrew; Goldfarb, Brent; Simcoe, Timothy
作者单位:Boston University; University System of Maryland; University of Maryland College Park
摘要:Published testimony in management, as in other sciences, includes cases where authors have overstated the inferential value of their analysis. Where some scholars have diagnosed a current crisis, we detect an ongoing and universal difficulty: the epistemic problem of learning from testimony. Overcoming this difficulty will require responses suited to the conditions of management research. To that end, we reviewthe philosophical literature on the epistemology of testimony, which describes the c...
-
作者:Hahn, Tobias; Knight, Eric
作者单位:Universitat Ramon Llull; Escuela Superior de Administracion y Direccion de Empresas (ESADE); Macquarie University
-
作者:Hwang, Hokyu; Colyvas, Jeannette A.
作者单位:University of New South Wales Sydney; Northwestern University; Northwestern University; Northwestern University; Northwestern University; Northwestern University
-
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
-
作者:Lynn, Andrew
作者单位:University of Virginia
摘要:In recent decades, numerous voices in managerial scholarship and business ethics have championed conciliatory business strategies capable of achieving both economic and social ends. While these good ethics pays or win-win approaches have garnered significant attention in both academic and practitioner-oriented arenas, empirical vetting of such strategies has lagged far behind their widespread diffusion. Even more problematic, careful examination of the scholarly work in this area reveals funda...
-
作者:Campbell, Joanna T.; Conlon, Donald E.
-
作者:Raisch, Sebastian; Krakowski, Sebastian
作者单位:University of Geneva; Stockholm School of Economics
摘要:Taking three recent business books on artificial intelligence (AI) as a starting point, we explore the automation and augmentation concepts in the management domain. Whereas automation implies that machines take over a human task, augmentation means that humans collaborate closely with machines to perform a task. Taking a normative stance, the three books advise organizations to prioritize augmentation, which they relate to superior performance. Using a more comprehensive paradox theory perspe...
-
作者:Thatcher, Sherry M. B.
-
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...
-
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 ...