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This paper presents a long overdue reassessment of entrepreneurship through acquisition (ETA). Traditionally considered simply a niche occurrence of small company leveraged buyouts (LBO), ETA is actually a meaningful contributor to a nation's entrepreneurial capacity and business revitalization....
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Existing theories of technological innovation posit a split between the incremental innovations produced by large incumbents and the radical innovations produced by entrepreneurial start-ups. This study presents empirical evidence challenging this foundational assumption by demonstrating that...
Persistent link: https://www.econbiz.de/10014146030
This paper examines how organizations protect themselves from the negative social and economic consequences associated with the loss of a key member and their social capital. Drawing on the social capital and upper echelons literatures, the author(s) hypothesize that social capital can be...
Persistent link: https://www.econbiz.de/10011992198
This paper examines how organizations protect themselves from the negative social and economic consequences associated with the loss of a key member and their social capital. Drawing on the social capital and upper echelons literatures, the author(s) hypothesize that social capital can be...
Persistent link: https://www.econbiz.de/10012012681
This paper presents a long overdue reassessment of entrepreneurship through acquisition (ETA). Traditionally considered simply a niche occurrence of small company leveraged buyouts (LBO), ETA is actually a meaningful contributor to a nation's entrepreneurial capacity and business revitalization....
Persistent link: https://www.econbiz.de/10010343143
Despite some recent advances, women continue to be significantly underrepresented in launching new ventures. The persistence of this gap has challenged scholars and policymakers to identify and address the mechanisms underlying this inequity, especially when natural and human-generated crises...
Persistent link: https://www.econbiz.de/10014345529
This paper examines the use of machine learning methods in modeling and forecasting time series with long memory through GARMA. By employing rigorous model selection criteria through simulation study, we find that the hybrid GARMA-LSTM model outperforms traditional approaches in forecasting...
Persistent link: https://www.econbiz.de/10015408216