W
Waleed A. Muhanna
Researcher at Max M. Fisher College of Business
Publications - 33
Citations - 4585
Waleed A. Muhanna is an academic researcher from Max M. Fisher College of Business. The author has contributed to research in topics: Common value auction & Data management. The author has an hindex of 21, co-authored 33 publications receiving 4317 citations. Previous affiliations of Waleed A. Muhanna include Ohio State University & University of Wisconsin-Madison.
Papers
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Journal ArticleDOI
Capabilities, business processes, and competitive advantage: choosing the dependent variable in empirical tests of the resource-based view
TL;DR: In this paper, it is argued that, in some circumstances, adopting the effectiveness of business processes as a dependent variable may be more appropriate than adopting overall firm performance as a dependant variable.
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Information technology and the performance of the customer service process: a resource-based analysis
TL;DR: It is found that shared knowledge between IT and customer service units is a key IT capability that affects customer service process performance and moderates the impacts of explicit IT resources such as the generic information technologies used in the process.
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IT capabilities and firm performance: A contingency analysis of the role of industry and IT capability type
M. Dale Stoel,Waleed A. Muhanna +1 more
TL;DR: Empirically examined the degree to which three industry characteristics influenced the impact of each type of IT capability on measures of financial performance and found there was general support for the posited contingency model.
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User resistance and strategies for promoting acceptance across system types
TL;DR: The results of a study investigating the link between resistance reasons and system types and assessing managerial perceptions of the relative importance of various strategies for promoting acceptance in the context of those types suggest that decision support systems and transaction processing systems are resisted for different reasons.
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Information Technology and Process Performance: An Empirical Investigation of the Interaction Between IT and Non‐IT Resources
TL;DR: Analysis of data collected from a sample of firms in the third party logistics (3PL) industry supports the proposed configurational perspective, showing that IT resources can either enhance or suppress the effects of non-IT resources on process performance.