How Sharing IT Resources May Help — or Hinder — Business Agility

Abstract servers, databases, and applications connected by glowing lines, representing IT resource sharing and agility.
November 4 , 2025  |  By Abhijith Anand

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Who is this research for? Chief Information Officers (CIOs), IT executives, and business unit leaders seeking to improve agility through IT resource management.


Executive Summary

This study, co-authored by Abhijith Anand of the Sam M. Walton College of Business, University of Arkansas (Department of Information Systems), explores whether organizations benefit from forcing business units to share IT resources or allowing units to choose their own.

The research combines survey data from 120 organizations with interviews of senior IT executives to investigate three categories of IT resources: infrastructure, applications, and data. The study applies a complementarity perspective — meaning the combined effect of resources may differ from their individual impacts.

Key insights suggest that sharing applications and data is generally associated with greater business unit agility, while sharing IT infrastructure can sometimes restrict agility. Findings also indicate that the mix of shared resources matters: certain combinations (such as increasing applications sharing when both IT infrastructure and data sharing are high) may reinforce agility, while partial sharing (such as increasing IT infrastructure sharing when both applications and data sharing are low) can undermine flexibility. 

Action Items for Industry

  • Evaluate resource type separately: Consider which IT resources to standardize. Shared applications and data often enhance responsiveness. On the other hand, infrastructure sharing may slow units down, particularly if the end goal is to consolidate infrastructure for efficiency and cost reduction with no follow up initiatives to promote shared applications and data.
  • Adopt a systems view: Assess how different IT resources interact. The combination of applications and data sharing tends to be more valuable than either alone.
  • Balance centralization with flexibility: Ensure governance structures allow some local autonomy while still pursuing economies of scale.
  • Pilot before scaling: Incremental moves toward shared IT resources may trigger rigidity if not planned carefully. Test combinations in smaller units before broad rollouts.
  • Leverage data as a unifier: Shared data can reduce silos and improve decision-making speed across business units, even when applications differ.

Quote from the Researcher

Organizations often assume that sharing more IT resources automatically creates synergy. What our study reveals is that agility depends not on how much is shared, but on what is shared, and how these shared resources interact.

Organizations typically begin by sharing IT infrastructure resources to establish a solid foundation before extending these efforts to applications and data. This approach is likely to hurt business unit agility in the short term, making things worse before they get better. The key takeaway for managers is to avoid withdrawing support or underinvesting during IT infrastructure consolidation, as sustained commitment at this stage is critical for realizing long-term benefits from applications and data.

-Abhijith Anand

Co-Authors & Affiliations

Published in European Journal of Information Systems, available here.


📩 Interested in learning more?
If you’d like additional information about this research or to connect directly with the researchers, please email us at research@walton.uark.edu.

Abhijith Anand Abhijith Anand is an Assistant Professor of Information Systems in the Sam M. Walton College of Business at the University of Arkansas. His current research interests are in the areas of data analytics, healthcare IT, and cybersecurity. In particular, he focuses on examining how new and emerging IT enables in creating value for organizations and society. He has worked, collaborated, and provided research expertise with many organizations, including the SAS Institute, Salesforce, Westpac, Australian Tax Office, Western Union, Loyalty New Zealand, among others.  His scholarly work has been published or is forthcoming in Information Systems Research, MIS Quarterly Executive, International Journal of Information Management, and Business Process Management Journal, among others.