Best Practices for Culturally Sensitive Data Visualizations

View Sample PDF

Author(s): Michael Gendron (Central Connecticut State University, USA), Christopher Hutwelker (Central Connecticut State University, USA)and Krzysztof Kisz (Central Connecticut State University, USA)
Copyright: 2017
Pages: 22
Source title: Decision Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-1837-2.ch084

Keywords: Business & Management / Decision Support Systems / Information Science Reference

Purchase

View Best Practices for Culturally Sensitive Data Visualizations on the publisher's website for pricing and purchasing information.

Abstract

Organizations are undergoing significant changes in their business environment. Competing on a global scale means that organizations must better understand cultural issues of their customers, employees, and key stakeholders. As business analytics grows in importance, managers are sharing data visualizations to a variety of different cultures and beliefs. When creating culturally sensitive data visualizations, a set of best practices is required to assist managers to make timely and accurate decisions with the least possible cultural bias. This article aims to develop these best practices by analyzing cultural traits, communication habits, and other differences between the western and eastern global regions.

The IRMA Community

Research IRM

Best Practices for Culturally Sensitive Data Visualizations

Purchase

Abstract

Related Content

IRMA Sponsors