research-article

ecoxight: Discovery, Exploration, and Analysis of Business Ecosystems Using Interactive Visualization

Authors:

Rahul C. Basole,

Arjun Srinivasan,

Shiv PatelAuthors Info & Claims

ACM Transactions on Management Information Systems (TMIS), Volume 9, Issue 2

Article No.: 6, Pages 1 - 26

https://doi.org/10.1145/3185047

Published: 24 April 2018 Publication History

Abstract

The term ecosystem is used pervasively in industry, government, and academia to describe the complex, dynamic, hyperconnected nature of many social, economic, and technical systems that exist today. Ecosystems are characterized by a large, dynamic, and heterogeneous set of geospatially distributed entities that are interconnected through various types of relationships. This study describes the design and development of ecoxight, a Web-based visualization platform that provides multiple coordinated views of multipartite, multiattribute, dynamic, and geospatial ecosystem data with novel and rich interaction capabilities to augment decision makers ecosystem intelligence. The design of ecoxight was informed by an extensive multiphase field study of executives. The ecoxight platform not only provides capabilities to interactively explore and make sense of ecosystems but also provides rich visual construction capabilities to help decision makers align their mental model. We demonstrate the usability, utility, and value of our system using multiple evaluation studies with practitioners using socially curated data on the emerging application programming interface ecosystem. We report on our findings and conclude with research implications. Collectively, our study contributes to design science research at the intersection of information systems and strategy and the rapidly emerging field of visual enterprise analytics.

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ecoxight: Discovery, Exploration, and Analysis of Business Ecosystems Using Interactive Visualization

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Published In

cover image ACM Transactions on Management Information Systems

ACM Transactions on Management Information Systems Volume 9, Issue 2

Regular Papers and Research Commentary

June 2018

113 pages

ISSN:2158-656X

EISSN:2158-6578

DOI:10.1145/3210372

Editor:
Daniel Zeng
University of Arizona, USA

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Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 24 April 2018

Accepted: 01 January 2018

Revised: 01 November 2017

Received: 01 March 2017

Published in TMIS Volume 9, Issue 2

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https://doi.org/10.1109/VL/HCC60511.2024.00030
Moerchel ATietze FAristodemou LVimalnath P(2024)A Novel Method for Visually Mapping Intellectual Property Risks and Uncertainties in Evolving Innovation Ecosystems: A Design Science Research Approach for the COVID-19 PandemicIEEE Transactions on Engineering Management10.1109/TEM.2022.318425471(2462-2474)Online publication date: 2024
https://doi.org/10.1109/TEM.2022.3184254
Basole RPark HSeuss C(2024)Complex business ecosystem intelligence using AI-powered visual analyticsDecision Support Systems10.1016/j.dss.2023.114133178(114133)Online publication date: Mar-2024
https://doi.org/10.1016/j.dss.2023.114133
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