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Billions of entrepreneurs at the Base of the Pyramid (BoP) operate as small-scale producers within multi-tiered supply chain networks. Unfortunately, a majority of these entrepreneurs are simply unable to derive sufficient value from the network and are vulnerable to disasters and poverty. The purpose of this paper is to develop a typology that examines dynamic and triadic power relationships in order to create value chains for BoP producers.

This paper builds upon the available literature and a relevant historical case study to develop a typology. The validity of the typology is ascertained by examining and comparing two current BoP silk weaver communities in India.

The typology captures essential environmental variables and relates them to mediated and non-mediated forms of power which, in turn, shape the value derived from the supply chain network.

The typology provides specific recommendations for BoP producers, such as the formation of cooperatives, engaging in political unionization and ensuring that their social networks expand beyond local communities.

The typology brings together structuration theory and power and provides a framework for understanding supply value. This typology is generalizable to dynamic multi-tiered supply chain networks.

The purpose of this paper is to examine the flow of refugees through the dual lens of supply chain management and national cultural values.

The proposed model is first developed based upon an extensive literature review. The model is then applied to an example of migrants from Honduras traveling to the USA and those being repatriated back to Honduras.

The connection between national cultural values and elements of refugee supply chain management is identified in this research. The model examines four elements of refugee supply chain management (relationship continuity, partner involvement and development, inter-organizational communication, and network structure), and identifies the influence of these four elements on integrative and collaborative processes along the supply chain and, consequently, on the delivery of services to the refugees (refugee network performance).

The model presented in this paper is tested using a single case and does not utilize an empirical methodology.

This research enables local municipalities and state entities along international migration paths to better manage their relationships with upstream/downstream players and improve refugee network performance by reducing transit time, lowering overall costs, ensuring the health and safety of the refugees, and identify eligible refugees (those likely to gain asylum) to support. Furthermore, the model provides specific recommendations for international Non-Governmental Organizations to help with the integrative and collaborative processes among the supply chain partners.

This research provides a unique perspective in examining the flow of refugees within the context of an international supply chain. The authors look at the critical players along refugee supply chains and develop a model that connects elements of refugee supply chain management with the cultural characteristics of nations.

In this research, the authors apply artificial neural networks (ANNs) to uncover non-linear relationships among factors that influence the productivity of ragpickers in the Indian context.

A broad long-term action research program provides a means to shape the research question and posit relevant factors, whereas ANNs capture the true underlying non-linear relationships. ANN models the relationships between four independent variables and three forms of waste value chains without assuming any distributional forms. The authors apply bootstrapping in conjunction with ANNs.

The authors identify four elements that influence ragpickers’ productivity: receptiveness to non-governmental organizations, literacy, the deployment of proper equipment/technology and group size.

This study provides a unique way to analyze bottom of the pyramid (BoP) operations via ANNs.

This study provides a road map to help ragpickers in India raise incomes while simultaneously improving recycling rates.

This research is grounded in the stakeholder resource-based view and the network–individual–resource model. It generalizes these theories to the informal waste value chain at BoP communities.

Billions of dollars are being poured into developing nations by multinationals as part of their diversification, divestiture, facility location, and supplier selection strategies. By integrating the literature in international business, marketing, purchasing, and operations management, a contingency model is developed to minimize the overall costs of such decisions. This model provides linkages between the type of product, organizational and country characteristics, and the logistics and sourcing strategies. In addition, it provides specific recommendations to government officials in helping their countries become global platforms for manufacturing and attracting foreign investment.

Gaining a competitive advantage in international supply chains requires matching the value‐adding activities of a chain with the unique comparative advantages offered by diverse nations that make up the chain. To do this, a supply chain manager must identify and control the factors that influence the performance of the chain in each of the three areas, namely, procurement, processing and distribution. Controlling these factors requires, among other things, setting up suitable information systems. This article provides a checklist of factors and offers suggestions for international supply chain managers to gain competitive advantage.

Organizations have been investing heavily in building information links with their suppliers and buyers in order to reduce costs, lead times and quality problems, and improve on time customized delivery. At present, many of these firms are unsure of the degree to which this investment is necessary. A dynamic model is presented which builds on the impact of the evolving interactions of competitors’ activities and the learning which emanates over time. This dynamic model can be used by organizations to determine the level of expenditure necessary to remain competitive. In addition, this model brings out the fact that the systems’ learning will always lead to greater automation in the management of materials; however, the cost would vary according to the interplay of these two factors. This model should also help logistics managers design more effective information systems for their supply chains.

This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/01443579810192763. When citing the article, please cite: Sunil Babbar, Sameer Prasad, (1998), “International purchasing, inventory management and logistics research: An assessment and agenda”, International Journal of Operations & Production Management, Vol. 18 Iss: 1, pp. 6 - 36.

In this research we test the generalizability of an existing model for classifying information‐intensive services that can be globally disaggregated to Internet services. This categorization allows us to judge which types of Internet Initial Public Offerings (IPOs) are likely to have superior performance. Specifically, we hypothesize that Internet firms with higher information intensity, lower physical presence and lower customer contact needs will have a greater probability of generating larger risk‐adjusted returns. We test these hypotheses on 340 Internet IPOs and find partial support for the model. In particular, Internet firms with high information intensity and low customer contact need yield superior performance. However, firms with low physical presence underperform in our sample.

An instrument has been developed to empirically measure the factors (constructs) influencing inventory systems and their effectiveness in international environments. The relevant literature was examined and eight constructs were identified to be included in the scale: the level of infrastructure, government policy, product characteristics, productions environments, supply base, degree of uncertainty, information level and effectiveness of the inventory system. The instrument was tested through structured interviews in operations in North America, South America, Europe and Asia. These scales provide an essential building block for empirical researchers and managers to document the state of international operations. As an example of using this scale a comparison of US, European and Latin American inventory systems is provided.

Traditional, single time‐period models of quality cost expenditures assume static conditions and ignore the impact of the learning curve effect on a firm’s product quality, and that of quality improvement efforts by the competitors. In this paper we incorporate both factors in a dynamic model of quality cost expenditures. The interactions not only show how firms can remain competitive, but also how they can achieve a competitive advantage. In addition, the dynamic model shows that quality learning will always lead to fewer product defects, but that total quality cost on a per unit basis will vary according to the interaction of these two factors. This model should also help managers plan, evaluate, and justify voluntary quality cost expenditures.