Distributed Representational Analysis in Support of Multi-perspective Decision-Making

Olga Menukhin, Nikolay Mehandjiev

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This paper describes research that explores principles of designing visual representations of data in sup-port of strategic decisions from the perspective of distributed decision makers. It uses the concept of distributed cognition (DC) to understand requirements of different stakeholders for data and information needed for making decision, and the concept of boundary objects to understand the shared utility of the visual representations in cross-functional decision-making. The study examines a product development setting in which decision-making is based on data resulting from digital modeling. Visualizations are widely used to explore data and make sense. However, research lacks studies connecting data visualization to decision-making. This research aims to propose visualization principles that are based on investigating information and visualization requirements of distributed decision makers. This empirical study uses the human-centered distributed information design (HCDID) methodology to analyze stake-holder requirements in a case study company and contributes to the research of decision-making with big data and analytics, particularly to corporate multi-perspective decision-making.
Original languageEnglish
Title of host publicationLecture Notes in Business Information Processing
Subtitle of host publicationInformation Systems: 20th European, Mediterranean, and Middle Eastern Conference, EMCIS 2023 Dubai, United Arab Emirates, December 11–12, 2023, Proceedings, Part II
Editors Maria Papadaki, Marinos Themistocleous, Khalid Al Marri, Marwan Al Zarouni
Place of PublicationCham
PublisherSpringer Cham
Pages30-44
Number of pages15
ISBN (Electronic)9783031564819
ISBN (Print)9783031564802
DOIs
Publication statusPublished - 30 Mar 2024

Publication series

NameLecture Notes in Business Information Processing
PublisherSpringer
Volume502
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Keywords

  • Data visualization
  • Multi-perspective requirements
  • Distributed cognition
  • Decision-making

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