Emergence of data and non-data team networks: An agent-based model

Ida Someh, Barbara Wixom, Mohsen Jafari Songhori, Graeme Shanks

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

2 Citations (Scopus)

Abstract

Research on the organizational impact of business analytics (BA) systems has mainly focused on the identification of analytics resources and capabilities in isolation and linking them directly or indirectly to business value. In contrast, achieving value from data assets in real organizational settings requires data teams to form connections with other organizational (non-data) teams so that the teams can work together and utilize complementary and shared resources. This paper focuses on the embeddedness of data and non-data teams within an organizational network, and it examines how the two teams connect and collectively influence organizational performance. For that, we built an agent-based computational model in which data and non-data teams solve organizational problems under dynamic organizational structures and team-level learning. In our model, data and non-data teams (i) simultaneously search for satisfying solutions over a complex space (i.e. an NK landscape), (ii) are initially connected to each other through a given network configuration, (iii) are endowed with learning capabilities (through a reinforcement learning algorithm), and (iv) update their links to other agents (i.e. create new connections or disconnect existing ones) according to their learning capabilities. Results reveal conditions under which performance differences are obtained, considering variations in the number of agents, space complexity, agents' screening capabilities and reinforcement learning.

Original languageEnglish
Title of host publicationInternational Conference on Information Systems 2018, ICIS 2018
PublisherAssociation for Information Systems
ISBN (Electronic)978-099668317-3
Publication statusPublished - 1 Dec 2018
Event39th International Conference on Information Systems, ICIS 2018: Bridging the Internet of People, Data, and Things - San Francisco Marriott Marquis, San Francisco, United States
Duration: 13 Dec 201816 Dec 2018
Conference number: 39
https://icis2018.aisconferences.org/

Conference

Conference39th International Conference on Information Systems, ICIS 2018
Abbreviated titleICIS 2018
CountryUnited States
CitySan Francisco
Period13/12/1816/12/18
Internet address

Keywords

  • Business analytics
  • Business value
  • Emergence
  • Simulation

Fingerprint Dive into the research topics of 'Emergence of data and non-data team networks: An agent-based model'. Together they form a unique fingerprint.

Cite this