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Physical Sciences and Mathematics Commons

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Business Administration, Management, and Operations

Information Systems and Quantitative Analysis Faculty Publications

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Full-Text Articles in Physical Sciences and Mathematics

Evaluating Information Technology (It) Integration Risk Prior To Mergers And Acquisitions (M&A), Deepak Khazanchi, Vipin Arora Jan 2016

Evaluating Information Technology (It) Integration Risk Prior To Mergers And Acquisitions (M&A), Deepak Khazanchi, Vipin Arora

Information Systems and Quantitative Analysis Faculty Publications

Corporate mergers and acquisitions (M&A) are considered significant, from both a strategic and an economic point of view, across almost all sectors of the economy.1 M&A is a complex process involving risk that ranges from financial and legal matters to sales and marketing challenges and everything in between. Despite well-established benefits of strategically driven expansion and integration of businesses through M&A, the consolidated organization exposes itself to a number of anticipated, unknown and unintended risk factors. The risk concerns the overall organizational integration of some or all of the previously distinct and interdependent assets, structures, business processes, technologies, systems, …


A Systematic Method For Discovering Effective Patterns Of Virtual Project Management, Deepak Khazanchi, Ilze Zigurs Jan 2012

A Systematic Method For Discovering Effective Patterns Of Virtual Project Management, Deepak Khazanchi, Ilze Zigurs

Information Systems and Quantitative Analysis Faculty Publications

The effective management of virtual projects within global organizations is an inherently collaborative activity as well as an increasingly critical issue. The concept of patterns provides a useful theoretical framework by which we can study the design of effective practices for the management of virtual projects. However, a number of significant gaps exist in our knowledge of this area and one of the most important is the need for a systematic method for discovering effective patterns. We propose such a systematic method and provide a detailed example of the use of our proposed pattern discovery method.