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Enterprise architecture: A competence-based approach to achieving agility and firm performance

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  • Hazen, Benjamin T.
  • Bradley, Randy V.
  • Bell, John E.
  • In, Joonhwan
  • Byrd, Terry A.

Abstract

As information technology (IT) proliferates across functional units, manufacturers that lack a coherent strategy for integrating, standardizing and leveraging their IT resources and capabilities are more likely to end up with fragmented systems that do not properly support business processes and hinder performance. One strategic approach to facilitating standardization and integration among IT resources is enterprise architecture (EA). As the representation of an enterprise's business processes and IT systems, EA underpins decisions relating to data, applications, IT infrastructure (technical and human), and management responsibilities in order to inform business strategies that enable organizations to accomplish their business objectives. In this research, we leverage competence-based theory to introduce EA strategic orientation and EA assimilation as dynamic and operational capabilities, respectively. Data collected from 190 manufacturers and seemingly unrelated regression are used to test hypotheses related to a nomological network consisting of EA strategic orientation, EA assimilation, agility and firm performance. The findings suggest that EA-based capabilities can enhance agility, and indirectly increase firm performance. As the first study to assess the value of EA from a non-IT-centric perspective, this work serves as a pivot point for examining the reach and range of EAbased capabilities, particularly in operations management. The findings provide operations and IT managers with evidence of how enterprise IT initiatives are ultimately linked to firm performance by way of EA-based capabilities.

Suggested Citation

  • Hazen, Benjamin T. & Bradley, Randy V. & Bell, John E. & In, Joonhwan & Byrd, Terry A., 2017. "Enterprise architecture: A competence-based approach to achieving agility and firm performance," International Journal of Production Economics, Elsevier, vol. 193(C), pages 566-577.
  • Handle: RePEc:eee:proeco:v:193:y:2017:i:c:p:566-577
    DOI: 10.1016/j.ijpe.2017.08.022
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    12. Wamba, Samuel Fosso & Dubey, Rameshwar & Gunasekaran, Angappa & Akter, Shahriar, 2020. "The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism," International Journal of Production Economics, Elsevier, vol. 222(C).
    13. Rogier van de Wetering & Sherah Kurnia & Svyatoslav Kotusev, 2020. "The Effect of Enterprise Architecture Deployment Practices on Organizational Benefits: A Dynamic Capability Perspective," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    14. Ritu Singh & Parikshit Charan & Manojit Chattopadhyay, 2019. "Dynamic capabilities and responsiveness: moderating effect of organization structures and environmental dynamism," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 46(4), pages 301-319, December.
    15. Kusi-Sarpong, Simonov & Orji, Ifeyinwa Juliet & Gupta, Himanshu & Kunc, Martin, 2021. "Risks associated with the implementation of big data analytics in sustainable supply chains," Omega, Elsevier, vol. 105(C).
    16. Mircea Fulea & Bogdan Mocan & Mihai Dragomir & Mircea Murar, 2023. "On Increasing Service Organizations’ Agility: An Artifact-Based Framework to Elicit Improvement Initiatives," Sustainability, MDPI, vol. 15(13), pages 1-25, June.
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    21. Vincent Montenero & Cristina Cazorzi, 2021. "Attempts by MNCs to Expand the Creative and Innovative Spirit through the Concept of Agility: Role of Global Managers," Post-Print halshs-03286310, HAL.
    22. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.

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