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The study seeks to classify retailer‐driven clothing supply networks to provide new insights on their structure and operation and examine whether or not differences are evident in the types of networks operated by different types of retailer.

A large‐scale empirical investigation is conducted of 73 supply networks operating with 26 Sri Lankan apparel manufacturers, representing 39 major retailers. In‐depth interviews and survey methods are used, representing qualitative and quantitative approaches, respectively.

Six primary types of clothing supply network are identified. A strong association is shown between retailer type and network type, specifically for networks operated by established brand retailers and by value players such as supermarket retailers. The typical attributes of the supply networks of each type of retailer are compared.

Although the empirical study is large, it is limited to supply networks with prime manufacturing partners located in Sri Lanka. The country is important in global clothing production, serving many prominent global retailers. Studying and comparing supply networks anchored in other regions will provide a valuable comparison with the findings here.

The study has implications for clothing retailers in analyzing, managing and developing their networks. For manufacturers, it provides insights to understand the network structures operated by different types of retailer for different classes of garment. The study also offers insights for policy makers in clothing producing regions.

A new empirically based classification is presented for clothing supply networks. The diversity in network types has not previously been shown. The comparison of networks of established brand retailers and value players provides empirical evidence of differences not reported previously. The findings enrich both the theoretical and empirical bases for sector‐specific supply network studies.

This paper explores the changes in Hong Kong clothing manufacturing firms regarding the development of vertical and horizontal channel integration as a strategic option in international marketing. Analyses of data suggested that Hong Kong clothing manufacturers are increasingly integrating forwardly by utilizing foreign based channel intermediaries, as well as establishing internalized export departments and overseas sales offices to handle their export functions. In addition, a dominant trend of horizontal integration exists in the form of expansion of outward processing facilities in southern China. Such developments aim to take advantage of the lower cost production so as to remain competitive with low cost producers from other less developed/developing countries.

Demand forecasting in the clothing industry is very complex due to the existence of a wide range of product references and the lack of historical sales data. To the authors' knowledge, there is an inadequate number of literature studies to forecast the demand with the adaptive network based fuzzy inference system for the clothing industry. The purpose of this paper is to construct a decision support system for demand forecasting in the clothing industry.

The adaptive‐network‐based fuzzy inference system (ANFIS) is used for forecasting demand in the clothing industry.

The results of the proposed study showed that an ANFIS‐based demand forecasting system can help clothing manufacturers to forecast demand more accurately, effectively and simply.

In this study, the demand is forecast in terms of clothing manufacturers by using ANFIS. ANFIS is a new technique for demand forecasting, it combines the learning capability of the neural networks and the generalization capability of the fuzzy logic. The input and output criteria are determined based on clothing manufacturers' requirements and via literature research, and the forecasting horizon is about one month. The study includes the real life application of the proposed system and the proposed system is tested by using real demand values for clothing manufacturers.

This paper presents a business‐to‐business electronic commerce (B2B EC) model for enabling supply chain management (SCM). The application of this model is substantiated by a case study of a leading clothing manufacturer in Hong Kong. On the technical side, the findings support the notion of harnessing information technologies (the Web, e‐mail, and electronic data interchange) to integrate business processes across the clothing supply chain. That is, information technologies could facilitate SCM, adding more value to customers. On the managerial side, the study highlights that manufacturers can assume a proactive role in leading changes in a supply chain, and that a fair share of gains from co‐operation must exist if collaboration between supply chain members is to be developed. Additionally, it is important for the members to have a thorough understanding of the impact of EC on inter‐firm relation‐ ship as well as the role they play in a supply chain before they engage in the virtual business world.

The purpose of this paper is to examine the challenges that small firms in the UK clothing manufacturing sector encounter. It has been suggested that small manufacturers' main problems are based on an inadequate information‐sharing structure. This research will explore the strategic significance of information to effective supply chain decisions in small garment‐manufacturing firms.

The paper is designed to employ Porter's five forces to explain the key factors influencing competition in the UK garment manufacturing industry and the relationship of information technology as a facilitator of shared information. In‐depth interviews and observations are conducted in a multiple case approach.

Empirical evidence shows that the slow and inefficient reaction of small garment manufacturers to competitive pressures is associated with inaccurate and untimely information sharing among trading partners.

The methodological approach justified the particularity, the specificity, and the boundedness required in case studies and demonstrates the depth of thoroughness and authentic explanations. It might, however, be useful to obtain a broader and wider sampling frame in any future research.

A successful supply chain will have implications for the upstream and downstream managers, who need to integrate their supply chains as part of a team that creates and adds value to the garments that end up in the hands of the consumers.

This paper has been able to stimulate concerns and interests in owner/managers of small garment manufacturers with special reference to their information needs. The evidence obtained demonstrated the overriding need for structured information strategies that will encourage the efficient flow of accurate and timely information across their supply chains.

The purpose of this paper is to demonstrate analytically how entrepreneurial action as learning relating to diversifying into technical clothing – i.e. a high-value manufacturing sector – can take place. This is particularly relevant to recent discussion and debate in academic and policy-making circles concerning the survival of the clothing manufacture industry in developed industrialised countries.

Using situated learning theory (SLT) as the major analytical lens, this case study examines an episode of entrepreneurial action relating to diversification into a high-value manufacturing sector. It is considered on instrumentality grounds, revealing wider tendencies in the management of knowledge and capabilities requisite for effective entrepreneurial action of this kind.

Boundary events, brokers, boundary objects, membership structures and inclusive participation that addresses power asymmetries are found to be crucial organisational design elements, enabling the development of inter- and intracommunal capacities. These together constitute a dynamic learning capability, which underpins entrepreneurial action, such as diversification into high-value manufacturing sectors.

Through a refinement of SLT in the context of entrepreneurial action, the paper contributes to an advancement of a substantive theory of managing technological knowledge and capabilities for effective diversification into high-value manufacturing sectors.

The aim of this paper is to analyse simplified traditional fashion clothing supply chain models between the UK and China to identify the key issues in quality and communication management.

Qualitative research utilising key informant interviews was used. A total of nine full interviews were undertaken from three simplified supply chains. A content analysis approach was used to analyse the data based on recurring themes. The focus was on the management of quality and communication including design development, sample development and approval, fabric/trims order and approval, bulk production management and shipping/warehouse management.

The research suggested that for fashion supply chain organisation and management between the UK and China attention should be focused on improvement of three common aspects capable of inhibiting performance: deficiencies in design specification, language barriers, and cultural/human barriers.

The concepts of supply chain management and quick response manufacturing systems have been forwarded in the clothing sector as a route to competitive advantage for manufacturers based in high labour cost countries. An integral part of the advantage gained via such systems is reduction in inventory throughout the supply chain. The aim of the paper is to examine the movement in inventory in the clothing sector relative to the average as obtained in the manufacturing sector as a whole and to use the results to test the hypothesis that supply chain management has progressed in the sector.

To provide an opinion as to the demise or metamorphosis of the UK clothing industry within the wider European context. Recently conducted research, along with a range of pertinent published (1978‐2004) statistical data are used to inform the authors' viewpoint on the development of the UK clothing industry. The statistical evidence describing the change in import penetration, employment levels and the impact of the national minimum wage support the view that a new typology of the clothing industry is emerging from the ashes of a rapidly declined manufacturing base. Some of the detail of garment types is hidden by the SIC system. Conversely, at times, the very categories used appear to have little contemporary relevance. Three areas of concern would remain: first, that over time the cluster itself would lose its critical mass; second, that the cluster might collapse if the central core of manufacturing is hollowed out; and third, that over time some of the “knowledge based” tasks such as design and product development might themselves be subject to migration to lower‐cost locations. This paper contributes a carefully considered, and compiled, viewpoint from experienced observers of the UK clothing industry that augments the debate centred on the development of the EU clothing industry.

This paper explores the relationships between body type and fit preferences with body cathexis, clothing benefits sought by consumers, and demographic profiles of consumers.

The survey instrument consisted of a questionnaire with scales assessing fit preference, body type, body cathexis, clothing benefits sought and consumer demographics.

Significant associations were found between body cathexis (satisfaction with head/upper body, lower body, height, weight and torso) and body shape. The degree of satisfaction with different body parts depended on the body type of the individual. The level of satisfaction with head/upper body, height and torso did not vary by body type. No significant differences were found between fit preferences and body type for lower body garments.

The majority of respondents were between the ages 18 and 28, affluent Caucasian Americans, with an hourglass body type, who had a family income of $85,000 or more and shopped in department or boutique/specialty stores.

Understanding the fit preferences of female consumers could help apparel companies to produce and meet demands for comfortable and well fitting clothes for women. The results of this research may be used as a first step to develop an expert system to correlate body shape and fit preferences of consumers.