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Every empirical approach to causal inference relies on untestable identifying assumptions. Yet, just 5% of recent empirical studies in top management journals test for sensitivity to the violation of these assumptions. To address this gap, we highlight recent methods that examine how sensitive...
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This paper investigates the interaction effects of specialization and relational capital on performance. We distinguish between upstream and downstream relational capital, and theorize that higher levels of specialization will buffer against decreases in upstream relational capital, because of...
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The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic behavior by agents. We theorize...
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