The growing consumer consciousness is accelerating the interest in sustainable products that offer better value and longevity. Slow fashion is one such philosophy that aims to provide meaningful and sustainable products advocating the needs of stakeholders. In this exploratory study, we find the barriers and support mechanisms affecting the adoption of slow fashion, specifically Indian handloom. The handloom industry is gradually depleting, posing challenges for stakeholders in the value chain. Though the extant literature delineates several factors, it does not explain the inter-factor interactions nor integrates these factors into themes. We conducted 36 in-depth multi-stakeholder interviews and found eight barriers preventing handloom adoption as a slow fashion alternative and five support mechanisms that counter these barriers. An extensive thematic analysis, led to seventeen sub-themes as barriers and eleven sub-themes as support mechanisms. We established a framework through matrix analysis to map support mechanisms addressing the corresponding barriers. The study's practical implications can be related to UN SDGs.
This article is based on one of the manufacturers of automotive components in India referred to as Avanti Enterprises (AvE). It describes the implementation of a Business-to-Business (B2B) website by AvE for its suppliers and highlights the factors that led to use of this website, by one particular supplier. As an example, this supplier is referred to as Bhusan Industries (BHI). The case is based on a dyad of primary organization (AvE) and the user organization (BHI) to discuss the level of use of a B2B website by the dyad and describes the factors related to the primary hosting organization and the user organization that determines use. The article aims to: understand why a website is used; to describe the website features and how they are used; describe the primary organization characteristics; how and why those characteristics influence the website use; to describe the user organization characteristics; and how and why they influence the website use. Sources of data include company documentation, interviews, industry databases, secondary case studies relevant to the framework and company websites.
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