Factors Influencing Communication and Collaboration in Enterprise Architecture Development

Negin Banaeianjahromi, Riitta Hekkala

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

81 Downloads (Pure)

Abstract

Communication and collaboration in Enterprise Architecture (EA) development have always been challenging. This paper contributes to the field of EA by investigating the factors that influence communication and collaboration in EA development. Data was collected from 14 large organizations in various industries regarding their EA development. Adopting the grounded theory method, we identified 20 factors that influence communication and collaboration in EA development and further categorized them into social, technical, internal, and external factors. Moreover, we analyzed and theorized the relationships between the factors to realize how they influence each other. Analyzing five organizational documents, we provide recommendations to improve communication and collaboration in EA development.
Original languageEnglish
Title of host publicationProceedings of the 52nd Hawaii International Conference on System Sciences
Number of pages10
ISBN (Electronic)978-0-9981331-2-6
Publication statusPublished - 2019
MoE publication typeA4 Article in a conference publication
EventAnnual Hawaii International Conference on System Sciences - Grand Wailea, United States
Duration: 8 Jan 201911 Jan 2019
Conference number: 52

Conference

ConferenceAnnual Hawaii International Conference on System Sciences
Abbreviated titleHICSS
CountryUnited States
CityGrand Wailea
Period08/01/201911/01/2019

Fingerprint Dive into the research topics of 'Factors Influencing Communication and Collaboration in Enterprise Architecture Development'. Together they form a unique fingerprint.

  • Cite this

    Banaeianjahromi, N., & Hekkala, R. (2019). Factors Influencing Communication and Collaboration in Enterprise Architecture Development. In Proceedings of the 52nd Hawaii International Conference on System Sciences