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William G. Egelhoff

Researcher at Fordham University

Publications -  35
Citations -  1103

William G. Egelhoff is an academic researcher from Fordham University. The author has contributed to research in topics: Matrix (mathematics) & Organizational architecture. The author has an hindex of 15, co-authored 35 publications receiving 1042 citations.

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Information-Processing Theory and the Multinational Enterprise

TL;DR: In this paper, a multidimensional framework is developed that can be used to measure the information-processing capacities of macro-level features of MNC organizational design, and an applied example, transnationalism, is used to illustrate how to apply the framework and demonstrate that it can contribute meaningful new insight to this complex organizational problem.
Posted Content

A reexamination and extension of international strategy-structure theory

TL;DR: The study conceptually and empirically extends existing theory to address strategy-structure fit for various types of matrix structure, and adds two new elements of international strategy to the existing international strategy-Structure model: level of international transfers and level of foreign R&D.
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A reexamination and extension of international strategy-structure theory

TL;DR: In this paper, the authors employ an information-processing perspective to extend existing theory to address strategy-structure fit for various types of matrix structure, and add two new elements of international strategy to the existing international strategy structure model: the level of international transfers and level of foreign R&D.
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An Information-Processing Model of Crisis Management

TL;DR: In this article, a contingency model for managing a variety of corporate crises is developed, which views crisis management as an information processing situation and organizations that must cope with crises as information-processing systems.
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How the Parent Headquarters Adds Value to an MNC

TL;DR: In this paper, the authors identify and describe three broad tasks where hierarchical structures with a parent HQ should outperform a network structure: developing and implementing tight coupling within MNCs, identifying and defining economies of scale and scope, and identifying and incorporating significant innovation into MNC strategy.