2016

最新文章

• Scientific apophenia in strategic management research: Significance tests & mistaken inference AI翻译
  作者：Goldfarb, Brent; King, Andrew A.
  作者单位：University System of Maryland; University of Maryland College Park; Dartmouth College
  摘要：Research summary: This article uses distributional matching and posterior predictive checks to estimate the extent of false and inflated findings in empirical research on strategic management. Based on a sample of 300 papers in top outlets for research on strategic management, we estimate that if each study were repeated, 24-40 percent of significant coefficients would become insignificant at the five percent level. Our best guess is that for about half of these, the true coefficient is very c...
• Understanding network formation in strategy research: Exponential random graph models AI翻译
  作者：Kim, Ji Youn (Rose); Howard, Michael; Pahnke, Emily Cox; Boeker, Warren
  作者单位：University of Kentucky; Texas A&M University System; Texas A&M University College Station; Mays Business School; University of Washington; University of Washington Seattle
  摘要：Research summary: This article uses Exponential Random Graph Models (ERGMs) to advance strategic management research, focusing on an application to board interlock network tie formation. Networks form as the result of actor attributes as well as through the influence of existing ties. Conventional regression models require assumptions of independence between observations, and fail to incorporate endogenous structural effects of the observed network. ERGMs represent a methodological innovation ...
• A two-sided matching approach for partner selection and assessing complementarities in partners' attributes in inter-firm alliances AI翻译
  作者：Mindruta, Denisa; Moeen, Mahka; Agarwal, Rajshree
  作者单位：Hautes Etudes Commerciales (HEC) Paris; University of North Carolina; University of North Carolina Chapel Hill; University System of Maryland; University of Maryland College Park
  摘要：Research summary: Strategic alliances are undertaken to create value through complementarities of resources and capabilities of the partner firms. This paper uses a recently developed estimator of matching games, i.e., the maximum score estimator, to advance strategic management research on partner selection in strategic alliances, with a focus on the formation of research alliances in the biopharmaceutical industry. We contribute to the literature in three ways. First, we develop a matching f...