Going Green in Mega-Sporting Events: Applying Attractiveness for Sustainable Product Innovation

Min Yuan Ma, Eric Chen F. Hsieh, Hsin Yi Huang, Chen Peng, Tzu Ching Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The emerging literature suggests that mega-sporting events have the potential to negatively impact local ecosystems by causing pollution and waste accumulation. This has raised the issue of “green sports,” which is a critical one. This study attempts to contribute a model to the design process to identify factors that attract spectators to sports, provide insights into the dynamics of mega-sporting events, and present a set of sustainable products that could interest sports-goers. A baseball game was selected as an example of a mega-sporting event. The study employed a combined model of the design process for product innovation, which included two in-depth qualitative interview methods: the evaluation grid method and a user journey map. A set of products designated as the “HOMERUN” set were designed based on the findings of the combined model. The result illustrated the possibility of transforming product features to meet users’ needs at different stages of the mega-sporting experience. The model applied in this study has implications for transforming product design thinking from a focus on specific points in problem solving to a linear pattern that focuses on a broader picture.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Kansei Engineering and Emotion Research, KEER 2020
EditorsHiroko Shoji, Shinichi Koyama, Toshimasa Yamanaka, Takeo Kato, Keiichi Muramatsu, Pierre Lévy, Kuohsiang Chen, Anitawati Mohd Lokman
PublisherSpringer
Pages174-183
Number of pages10
ISBN (Print)9789811578007
DOIs
Publication statusPublished - 2020
Event8th International Conference on Kansei Engineering and Emotion Research, KEER 2020 - Tokyo, Japan
Duration: 2020 Sep 72020 Sep 9

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1256 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference8th International Conference on Kansei Engineering and Emotion Research, KEER 2020
Country/TerritoryJapan
CityTokyo
Period20-09-0720-09-09

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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