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Jahangir Karimi

Researcher at University of Colorado Denver

Publications -  43
Citations -  2963

Jahangir Karimi is an academic researcher from University of Colorado Denver. The author has contributed to research in topics: Information system & Information technology. The author has an hindex of 21, co-authored 43 publications receiving 2524 citations. Previous affiliations of Jahangir Karimi include University of Colorado Boulder & Association for Computing Machinery.

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The Role of Dynamic Capabilities in Responding to Digital Disruption: A Factor-Based Study of the Newspaper Industry

TL;DR: This study builds on disruptive innovation theory by ascertaining the role of dynamic capabilities in the performance of response to digital disruption and suggests that first-order dynamic capabilities that are created by changing, extending, or adapting a firm’s existing resources, processes, and values are positively associated with building digital platform capabilities.
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Impact of Information Technology Management Practices on Customer Service

TL;DR: The results clearly indicate that the IT-leader firms have a higher level of IT management sophistication and a higher role for their IT-leaders compared to IT- enabled customer focus, IT-enabled operations focus, and IT-laggard firms.
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The Role of Information Systems Resources in ERP Capability Building and Business Process Outcomes

TL;DR: This study further develops the complementary and capability-building roles of IS resources, integrates RBV into the current knowledge of ERP implementation, and provides theoretical explanations for when or under what conditions building ERP capabilities has the highest impact on business process outcomes.
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Confirmatory Factor Analysis of the End‐User Computing Satisfaction Instrument: Replication within an ERP Domain

TL;DR: This study's results confirm that the EUCS instrument maintains its psychometric stability when applied to users of enterprise resource planning application software.
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Impact of Environmental Uncertainty and Task Characteristics on User Satisfaction with Data

TL;DR: The partial least squares technique indicated that environmental uncertainty has a positive impact on task characteristics and that user satisfaction with data could be better understood by overlapping IS and organizational theories, rather than by treating the subject matter in disjoint fields.