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This article examines inventory control problems in developing countries using the results of a field study conducted in the industrial sector of a developing country. It is shown that ineffective inventory control is a major problem faced by industries in developing countries and that even the very basic inventory control concepts and techniques are not used by the majority of the companies studied. Due to the heavy reliance on imported industrial raw materials and parts, and the endemic bureaucratic delays and associated communication problems in developing countries, order lead times cannot be computed with any degree of accuracy. Therefore manufacturers attempt to overcome the uncertainty by carrying excessive amounts of buffer stocks.

The librarian and researcher have to be able to uncover specific articles in their areas of interest. This Bibliography is designed to help. Volume IV, like Volume III, contains features to help the reader to retrieve relevant literature from MCB University Press' considerable output. Each entry within has been indexed according to author(s) and the Fifth Edition of the SCIMP/SCAMP Thesaurus. The latter thus provides a full subject index to facilitate rapid retrieval. Each article or book is assigned its own unique number and this is used in both the subject and author index. This Volume indexes 29 journals indicating the depth, coverage and expansion of MCB's portfolio.

Production planning and control is a complex task in multiple batch production situations. Work orders arrive in a random manner and, considering the diverse product array, work centre capacities loaded and available also change in a random manner. A particular product mix may suit a particular load pattern generated and, to be realistic, the optimum product mix must be considered a dynamic parameter rather than a static one. Considering the multitude of parameters associated, it is difficult to determine the optimum product mix in a manual system. The use of a computer simulation model to determine the optimum product mix and also the criteria to be used in arriving at the pricing strategy under multiple batch production situations are discussed.

The purpose of this paper is to explore the scope of sourcing research in Sub-Sahara African (SSA) from scholarly journals published from 1980 to 2013 on sourcing-related issues. The study identifies what is known about sourcing from this region and the implications for managers and researchers in supply chain management.

Totally, 40 scholarly journals (supply chain journals and other journals publishing on diverse business topics) were found relevant and reviewed. Content (all field) search using the names of each SSA countries (e.g. Nigeria, South Africa, Ghana, etc.) was carried out in the supply chain journals to filter out articles discussing sourcing-related topics. For other business journals, keyword search was performed (procurement, sourcing, purchasing, outsourcing, supplier relations, supplier selection, supplier development, supply management, offshore, supply chain and logistics).

The literature review suggests that studies discussing sourcing issues in SSA have focussed mainly on challenges of sourcing from SSA, and they provide some insights on implementation of supply chain tools such as total quality management, negotiating and selecting suppliers from SSA, and just-in time purchasing. However, the authors found that there is an under-representation of this region in supply chain management literature. More so, the articles discussing sourcing issues in Africa are limited in scope empirically and theoretically in comparison with the large amount of contributions in other emerging economies of Asia and developed economies.

The limited amount of publications and contributions does not allow us to provide an integrated framework for sourcing from SSA.

There is a need for future research to explore how the SSA context could enhance theorizing in supply chains. Also, there is need for researchers to extend the sourcing debate from the over emphasis on technology sourcing, knowledge intensive service outsourcing and component sourcing to other lower value-added products such as agricultural products and other raw materials sourced in SSA.

This paper is one of the first to explore the scope of sourcing in Africa. As the findings suggest, there have been limited amount of papers published about this region. The review provides a perspective for researchers to explore this region and to aid theory development in supply chains. It also provided implications on how to support research publication focussing on this region and how to inform managerial perceptions on sourcing from SSA.

The purpose of this paper is to formulate the manufacturing strategy in a developing country with particular reference to Nigeria in sub-Saharan African country.

Using survey methodology and the partial least squares – structural equation modeling technique, The authors find that in addition to the four basic environmental factors – business cost, labor availability, competitive hostility and environmental dynamism, both government policies and the adopted manufacturing practices have significant effects on the manufacturing strategic priorities.

Among other findings, the environmental factors of government policies and the type of manufacturing practices adopted have significant effects on manufacturing strategy.

Further studies should explicitly look into the effect of the adopted manufacturing strategy on company performance. Possibly, a case study research might be considered to establish this relationship.

As manufacturing firms continue to experience greater competition, especially from China, and given the technological advancement in manufacturing, the business environment facing Nigerian manufacturing companies is likely to become more dynamic, complex, diverse and even hostile. Under such a turbulent climate, the configuration and effective deployment of manufacturing strategies is imperative to achieving superior business performance.

A more effective strategy will make companies more competitive in the market place, thus creating employment in a sector that has witnessed declining growth in employment.

The linkage between environmental factors and manufacturing strategy has been studied widely. However, this study reveals the role of government policies and manufacturing practices in formulating manufacturing strategy in a developing country context.

The purpose of this study is to examine why Sub-Saharan Africa (SSA) is not currently a major player in producing apparel for the US market and determine if SSA is likely to become one because of several opportunities that the region offers, including relatively low labor wages, an ample labor force and duty-free access to the USA through the 10-year renewal of AGOA.

In-depth interviews were conducted with eight high-level executives in apparel sourcing and trade agencies to obtain their views on the opportunities and challenges of sourcing in SSA in relation to other major apparel sourcing regions. A descriptive analysis of the qualitative data was used to answer three research questions.

The findings reveal that SSA is a competitive region to source from, because of low labor wages and the duty-free benefits through AGOA. However, several challenges hinder a significant increase in sourcing from SSA. The executives recommended that for SSA to be a significant force in the global apparel market, vertical supply chains should be developed, where raw materials like fabric are sourced from within the country/region and SSA governments should become more involved in business environment improvements.

At present, there is limited academic literature on sourcing and supplier selection in Africa, particularly in textile and apparel sourcing in SSA. Based on interviews from high-level executives engaged in the sourcing decision-making process, this study reveals the benefits, challenges and opportunities for sourcing apparel from SSA countries.

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

Effective standards are at once technical specifications for various people, processes, and products, as well as world-changing phenomena. Put simply, standards are one means by which we determine who we are and how we shall live. Alternatively, standards are more than technical specifications; effectively implemented standards are part of the social infrastructure that makes a given type of society possible. This, in turn, suggests that – if we are to collectively decide what kind of society and what kind of agri-food sector we want – the recent turn to standards (and away from government regulation) cannot be left in the hands of a few experts, but must be subjected to democratic deliberation. This is especially true if the scope of standards is to be expanded so as to include problems such as climate change and sustainability. These are “wicked problems” in that all the parameters cannot be specified, there is no single optimum to be attained and “…there is no criterion system nor rule which would tell you what is correct or false” (Rittel, 1972).

It is widely believed that the construction industry is more volatile than other sectors of the economy. Accurate predictions of the level of aggregate demand for construction are of vital importance to all sectors of this industry (e.g. developers, builders and consultants). Empirical studies have shown that accuracy performance varies according to the type of forecasting technique and the variable to be forecast. Hence, there is a need to gain useful insights into how different techniques perform, in terms of accuracy, in the prediction of demand for construction. In Singapore, the residential sector has often been regarded as one of the most important owing to its large percentage share in the total value of construction contracts awarded per year. In view of this, there is an increasing need to objectively identify a forecasting technique which can produce accurate demand forecasts for this vital sector of the economy. The three techniques examined in the present study are the univariate Box‐Jenkins approach, the multiple loglinear regression and artificial neural networks. A comparison of the accuracy of the demand models developed shows that the artificial neural network model performs best overall. The univariate Box‐Jenkins model is the next best, while the multiple loglinear regression model is the least accurate. Relative measures of forecasting accuracy dealing with percentage errors are used to compare the forecasting accuracy of the three different techniques.