Circular Economy Business Models: The Case of Coffee MSMEs

Sasichakorn Wongsaichia & Chavis Ketkaew

Science, Technology and Society2025https://doi.org/10.1177/09717218251397466article
AJG 2ABDC B
Weight
0.37

What the paper says

This study explores how independent cafés, specialty coffee shops and micro-roasters in Thailand implement circular economy ( ce ) business models across five strategies: Reduce, reuse, repurpose, recycle and recover, focusing on packaging and spent coffee grounds. Using qualitative interviews with key stakeholders and thematic analysis guided by institutional theory, the study examines how coercive, normative and mimetic pressures influence circular practices and their links to value creation for stakeholders and value capture for firms. Findings show that reduce and reuse are the most common strategies, as they are manageable within cafés and deliver operational savings and customer engagement. Repurpose activities, such as transforming coffee waste into fertiliser or community products, generate social and reputational value but limited direct revenue. Recycle and recover remain underdeveloped due to weak infrastructure, unclear policy and insufficient collection systems. The study proposes a framework linking institutional pressures, circular strategies and business outcomes, recommending stronger reuse systems, formalised repurpose partnerships and improved regulatory capacity to enhance small enterprises’ participation in circular value creation.

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https://doi.org/https://doi.org/10.1177/09717218251397466

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@article{sasichakorn2025,
  title        = {{Circular Economy Business Models: The Case of Coffee MSMEs}},
  author       = {Sasichakorn Wongsaichia & Chavis Ketkaew},
  journal      = {Science, Technology and Society},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/09717218251397466},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.