Building the BoP Producer Ecosystem: The Evolving Engagement of Fabindia with Indian Handloom Artisans

Recent research on the base of the pyramid (BoP) has called on firms to initiate market‐driven interventions directed at the BoP population with the objective of identifying and pursuing mutually profitable means of attaining meaningful poverty alleviation outcomes. In response, firms as well as scholars have engaged at length with the creation of new products and services for the BoP consumer but paid far less attention to the BoP producer—a member of the BoP population who creates value by producing goods and services for sale in nonlocal markets. Additionally, extant studies have largely focused on snapshot views of BoP interventions by firms, thereby limiting our understanding of the emergence of meaningful poverty‐alleviating outcomes over time from these interventions. This paper seeks to redirect attention toward the dynamic of the long‐term engagement between the firm and the BoP producer. Using rich qualitative data from Fabindia—an Indian handloom retailer—this paper examines how the engagement between Fabindia and communities of handloom artisans in India has persisted over a period of five decades. We found that, even as it encountered changes in the external environment and pursued newer organizational goals, Fabindia repeatedly renewed its engagement with handloom artisans and facilitated progression in poverty‐alleviation outcomes. Building on the insights from the case study, this paper presents a process model that highlights the role of innovative management practices in sustaining engagements between firms and BoP producers over time. Additionally, this paper proposes the concept of the “bridging enterprise”—a business enterprise that originates at the intersection of specific BoP communities and the corresponding nonlocal markets—as an interpreter and innovator reconciling the interests of stakeholders across the pyramid.     

DS-optimal designs in one way ANOVA

Characterization and construction of optimal designs using the familiar optimality criteria, for example A-, D- and E-optimality are well studied in the literature. However the study of the Distance Optimality (DS-) criterion introduced by Sinha (1970) has very recently drawn attention of researchers. In the present article, we consider the singularly estimable full rank problem of estimating the full set of elementary treatment contrasts using the DS optimality criterion in the set up of a one way ANOVA model. Using a limit argument it turns out that a CRD in which difference between any two allocation numbers is at the most unity is uniquely DS-optimal. Acknowledgement. We are thankful to Prof. B. K. Sinha for suggesting the problem to us and many helpful discussions with him. We are also thankful to the referees for drawing our attention to the reference of Bischoff (1995) and many helpful comments.