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Firm Size and Age mediating the Firm Survival-Hedging Effect: Hayes’ 3-Way Parallel Approach

Henry Okwo, +3 more
- 01 Feb 2019 - 
- Vol. 11, Iss: 3, pp 887
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TLDR
In this article, the authors show that hedging has a direct effect on firms' survival; firms' size and age individually do not strongly influence these effects, but a combination of the two does.
Abstract
A James Gaskin Excel Macro Analysis is performed to determine the reliability of our scales, and a 3-way parallel mediation using the Andrew Hayes’ PROCESS model is applied to test the formulated hypotheses. Results show that hedging has a direct effect on firms’ survival; firms’ size and age individually do not strongly influence these effects, but a combination of the two does. We, therefore, concluded that while the hedging-survival effect exists on all forms of hedging, the practice of hedging is consequential for firms on the premise of their ages and numbers of employees.

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References
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Book

Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach

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TL;DR: Baron and Kenny's procedure for determining if an independent variable affects a dependent variable through some mediator is so well known that it is used by authors and requested by reviewers almost reflexively.
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Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium

TL;DR: In this paper, the authors focus on communication processes and understand how messages have an effect on some outcome of focus in a focus-based focus-oriented focus-set problem, which is the goal of most communication researchers.
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TL;DR: Examines the strategic postures, competitive tactics, and organization structures of small manufacturing firms that are associated with high performance in both hostile and benign environments to suggest that entrepreneurial firms perform better in hostile environments, while small conservative firms perform best in more benign environments.
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Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research

TL;DR: Partial least squares (PLS) is an evolving approach to structural equation modeling (SEM), highlighting its advantages and limitations and providing an overview of recent research on the method across various fields as discussed by the authors.
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