Boundary Objects as a Learning Mechanism for Sustainable Development Goals—A Case Study of a Japanese Company in the Chemical Industry
Wen Pan Fagerlin,
Minoru Shimamoto and
Ran Li
Additional contact information
Wen Pan Fagerlin: School of Business Administration, Hitotsubashi University, Kunitachi, Tokyo 186-8601, Japan
Minoru Shimamoto: School of Business Administration, Hitotsubashi University, Kunitachi, Tokyo 186-8601, Japan
Ran Li: School of Business Administration, Hitotsubashi University, Kunitachi, Tokyo 186-8601, Japan
Sustainability, 2019, vol. 11, issue 23, 1-26
Abstract:
This paper explores the role of boundary objects in the translation and transformation process of a sustainability concept—Sustainability Development Goals (SDGs)—into a firm’s business practices. The qualitative case study describes the experience where a Japanese company successfully implemented SDGs and generated product innovations through its learning process. The findings of the study identify four types of effective boundary objects: (1) organizational repository boundary objects, including historical contextualization and best practices; (2) a standardized form of boundary objects based on certification process of environmental sustainable products; (3) an ideal type of boundary objects through digital forum based learning platform; (4) a “powerful” community of practices that come across hierarchy and functions. This paper extends the literature by showing the interconnectedness of boundary objects, the possible negative side of technology based boundary objects, and the significance of community of practices as a monitoring and coordination tool to ensure the effective operation and measurement of sustainability.
Keywords: organizational learning; boundary objects; sustainability; sustainable development goals (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:23:p:6680-:d:290920
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