JOURNAL ARTICLE

Challenges Faced by Micro, Small and Medium Enterprises in Food Processing Industries: Evidence from Kamrup Metro District, Assam.

  • Published In: Small Enterprises Development, Management & Extension Journal (SEDME), 2025, v. 52, n. 4. P. 339 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Ghosh, Aniruddha; Deb, Mithu 3 of 3

Abstract

This study examines the challenges faced by Micro, Small and Medium Enterprises (MSMEs) in the food processing sector of Kamrup Metro district, Assam, India, focusing on operational areas such as raw materials, finance, technology, human resources, and marketing. Data from 280 registered MSMEs collected between 2023 and 2024 reveal that micro enterprises generally encounter fewer challenges due to their small scale and self-financing, though they lag in branding, labelling, and compliance with quality standards like the Food Safety and Standards Authority of India (FSSAI). Small enterprises face more pronounced difficulties, including raw material price volatility, limited credit access, high technology costs, and labour shortages, but show higher adoption of market-oriented practices and certifications. Statistical analysis confirms that the nature and severity of challenges significantly vary by enterprise classification, underscoring the need for tailored policy interventions to support sustainable growth and competitiveness in Assam's food processing MSMEs.

Additional Information

  • Source:Small Enterprises Development, Management & Extension Journal (SEDME). 2025/12, Vol. 52, Issue 4, p339
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2025
  • ISSN:0970-8464
  • DOI:10.1177/09708464251378556
  • Accession Number:189366623
  • Copyright Statement:Copyright of Small Enterprises Development, Management & Extension Journal (SEDME) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.