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This paper examines the perceptions of Bolivians engaged in the country's apparel industry regarding barriers and challenges to participation in the global textile and apparel complex. Small Bolivian apparel producers perceive the apparel industry as a source of employment and an opportunity to improve the well being of their families. Government/small business relationships, economic and political uncertainty of trade partners, inadequate infrastructure, a depressed domestic market, and global trade policies were identified by participants as barriers to further development of the apparel industry. Apparel producers require support from both public and private sectors to foster entrepreneurship, promote Bolivian apparel products and join regional production networks to revitalize the apparel industry in Bolivia.

This study highlights the impact of attaining and incorporating knowledge and building relationships with other firms in US apparel production.

Producers of apparel and sewn products operating within a US state form the sample for this mixed methods exploration. Study 1 involves a qualitative analysis of the producers highlighting knowledge in interorganizational discussions. Study 2 quantitatively measures responses from 38 producing firms. Ordinary least squares (OLS) regression was used to measure associations, and simple slopes were computed to examine interactions.

The knowledge exchanged, according to participants in study 1, was limited, thus warranting further examination. Results from study 2 revealed strong associations among knowledge absorptive capacity, social interaction and people-oriented culture with network ties. A two-way interaction effect was found for absorptive capacity and social interaction, indicating association between social interaction and network ties was more positive at higher levels of absorption capacity and vice versa.

Findings provide theoretical and applied support for building network ties. This research operationalizes complicated-to-measure constructs critical to the empirical measurement of junctions from two theoretical frameworks, in the context of a specific industry. Though acceptable for exploratory research, additional work is needed to refine reliability measures and to examine a national sample.

This study links elements of social capital- and knowledge-based views of the firm necessary for reviving US apparel production. Broader outcomes from this research include job creation providing support and growth in the US sewn apparel and goods industry that will drive US economy.

The apparel industry must produce many different types of products in small quantities in shorter lead times. Trade journals and researchers have emphasized the importance of the right sewing system for achievement of high productivity rates. However, the findings of this research suggest that the actual technology of a sewing system is only one factor in achieving higher productivity. Product type was also highly correlated with high level of productivity. Considering the preliminary findings from this study, a manager should evaluate carefully the plant and the product before selecting a sewing system. Without more detailed analysis, managers should not change sewing systems just to get a new sewing system. The findings of this study suggest the need for more exploration of sewing systems including the impact on productivity.

Case studies were conducted with two small apparel businesses in Mexico to determine the physical and human resources critically influencing full‐package apparel manufacturing and export. Data analysis deductively focused on the use of local resources, the role of technology, understanding of the export market and the ability to develop a product suitable for that market, business skills needed for production and delivery, and availability of capital. Based on the results, a study guide was developed for use by individuals, small business owners, cooperatives, and communities as they promote development and job creation in Mexico through apparel production and export under NAFTA.

The redesign of a product supply chain, in terms of production, cost and delivery capabilities can be effectively accomplished by mapping, analyzing and simulating the changes in the supply chain prior to implementation. The case being discussed pertains to the apparel industry in the USA. The beginning of 2005 marked the end of a 30‐year old quota on the apparel market in the USA. This has led many western apparel manufacturers to outsource their production to low‐labor cost countries. This in‐turn has led to increased customer lead‐times. This paper aims to discuss how the implementation of proper IT systems and supply chain measures can reduce lead‐times and also reduce total cost.

An integrated approach is utilized to model the impact of apparel outsourcing added to a US apparel producer supply chain by studying the process map, data analysis, and simulation of the supply chain using Visio, Excel and @Risk simulation software. Using Monte Carlo simulation, the hypotheses on responsiveness and relative costs were tested with and without the outsourcing feature in the US apparel producer supply chain.

The cost savings through outsourcing in the low‐cost labor countries in Asia for the US apparel producer supply chain can be huge and the lead‐time is quite substantial. Thus, outsourcing is not a viable solution for meeting short‐term market demands. However, for large seasonal orders, outsourcing could be an enormous cost‐saver. The lead‐time of the US apparel producer supply chain could be improved if certain controllable factors such as order processing could be made more efficient.

Recent studies by Acaccia, Conte, Maina and Michelini as well as the Leadership for European Apparel Production From Research along Original Guidelines (LEAPFROG, www.leapfrog‐eu.org/), were reviewed. However, no recent study that uses Monte Carlo simulation to measure the supply chain in the apparel market for the USA was traceable in the existing literature except one done by Naylor, Burdick and Sasser at Duke University in 1967. The process modeling of the US apparel producer supply chain with the outsourcing feature will be a useful decision analysis tool. With more data and better understanding of the industry, this simulation model can be easily expanded to obtain a more in depth understanding of any US apparel producer supply chain with an outsourcing capability. Even with making some realistic assumptions in the model, one can easily see the potential benefits of outsourcing. The study found that the customer lead‐time was averaging around 57 days at three‐fourths of the original cost with the minimum customer lead‐time being 41 days. Improved IT and logistics capabilities can minimize the variability recognized in major components of customer lead‐time, such as ocean freight transportation time, order processing time and manufacturing time.

The contribution of the research results from the apparel industry application, where simulation studies of this kind have recently not been executed for a US apparel manufacturer. It also showcases an innovative approach in analyzing outsourcing strategies for a US apparel producer supply chain. The study makes a business case that process improvement can be effectively accomplished with an integrated approach of using widely available inexpensive and user‐friendly computer‐based tools.

Focusing on the apparel industry, this study extends current knowledge on how additive manufacturing (AM) may impact global supply chains regarding structures of interorganizational governance and the industry's social-sustainability issues.

Following an exploratory research design, two consecutive Delphi studies, with three survey rounds each, were conducted to carve out future industry scenarios and assess AM's impact on supply chain governance and social sustainability.

The implementation of AM is posited to reinforce existing supply chain governance structures that are dominated by powerful apparel retailers. Retailers are expected to use the increased production speed and heightened market competition to enforce faster fashion cycles and lower purchasing prices, providing a grim outlook for future working conditions at the production stage.

Against the common narrative that technological progress increases societal well-being, this study finds that new digital technologies may, in fact, amplify rather than improve existing social-sustainability issues in contemporary production systems.

This article contributes to the nascent research field of AM's supply chain impact as one of the first empirical studies to analyze how AM introduction may impact on interorganizational governance while specifically addressing potential social-sustainability implications. The developed propositions relate to and extend the resource dependence and stakeholder perspectives on governance and social sustainability in supply chains. For managers, our results enrich the discussion about the potential use of AM beyond operational viability to include considerations on the wider implications for supply chains and the prevailing working conditions within them.

The purpose of this study was to explore the dimensions of apparel manufacturing strategy (i.e. cost, quality, flexibility, delivery time) and their relationship to style and sewing systems. U.S. apparel producers are seeking strategies that will make their production competitive to production in low wage countries. Two style types were defined: new styles and standardized styles. Results indicated that the production of new styles of apparel is related to the manufacturing dimensions of quality and delivery. The standardized style is related to the dimension of cost. Significant associations were also found between the multiple‐sewing systems used by plants and dimensions of manufacturing strategy (cost, delivery, and flexibility).

Consumers often face a dilemma regarding the purchase decisions of traditional handloom apparel because of the non-availability of information cues that would enable them to assess the quality of the product. The spread of counterfeit products in the market adds to information asymmetry. The study aims to examine factors influencing purchase intention of traditional handloom apparel that have Geographical Indication (GI) certification, which follows the certification procedure specified by the World Intellectual Property Organisation (WIPO).

A survey was conducted among 202 traditional handloom apparel consumers in India and the data was analysed using structural equation modelling. The purchase intention of GI certified handloom apparels was examined as the dependent variable, whereas quality consciousness, product diagnosticity, perceived information asymmetry were placed as independent variables. The mediating role of perceived quality and product trust in the relation between perceived information asymmetry and purchase intention was also looked into.

Results reveal that quality consciousness positively influences product diagnosticity (facilitated by the GI label certification) which in turn reduces perceived information asymmetry. Further, a reduction in perceived information asymmetry was found to increase the purchase intention of traditional handloom apparel, fully mediated by the perceived quality and product trust.

The customers who are facing a dearth of information while making purchase of traditional handlooms will be benefitted from the GI certification label which provides authenticity regarding product attributes confirming quality. Further, the study adds to the theory by establishing the relation between quality consciousness and perceived information asymmetry.

The findings imply that GI handloom apparel sellers should design marketing strategies that would project GI certification labels for traditional handloom apparel to effectively communicate product quality attributes, thus enhance product diagnosticity reducing information asymmetry. While organic certification for agricultural products is done at the individual producer’s level, GI certification is done under the producer’s collective label. Further, studies may be extended to agricultural products (Darjeeling tea, Alphonso mangoes, etc.), food items (rasgulla, Thirupathi laddoo, etc.) and handicrafts (Aranmula Mirror, Payyannur pavithra ring) that have acquired GI label in India. GI certification is adopted worldwide and studies may be extended to such products also [example Parma ham (Italy), Hessian wine (Germany)].

Empirical research on determinants of consumer purchase intentions of GI certified traditional handloom apparel is a novel attempt done in the context of a developing country such as India. The study brings out the importance of the GI certification label envisaged by the WIPO, which can serve as a tool for reducing uncertainties faced by consumer in framing purchasing intentions. This can be extended to any product type such as agricultural, food products and handicrafts that has acquired GI certifications in different countries. The study revealed that product diagnosticity (through GI certification) could reduce perceived information asymmetry that leads the consumer to the perception of quality and product trust which results in the purchase intention of traditional handloom apparel. The outcomes of the study can be instrumental in designing marketing strategies for capturing market share.

The aim of this study is to determine, using the Theory of Reasoned Action (TRA), affluent female consumers' purchase intention of a controversial luxury product, apparel made with American alligator leather.

Influence variables evaluated in the model included: attitude toward performing the behavior (purchasing alligator leather apparel); subjective norm, involvement (fashion involvement); controversy perception (social acceptance and endangerment status of the American alligator); price perception (price‐quality schema and prestige sensitivity); personality traits (self‐confidence and self‐consciousness); and demographics. A mail survey of 1,200 affluent female consumers residing in eight US metropolitan statistical areas defined as fashion centers was conducted.

A total of 430 usable surveys were returned for a 36 percent response rate. The general linear model regression analysis revealed that attitude toward performing the behavior, subjective norm, controversy perception (social acceptance), and fashion involvement were significant predictors of purchase intention.

The model was effective in predicting affluent females' purchase intention for a controversial luxury apparel product, and results suggest the TRA could be used to predict purchase intention of other luxury products considered controversial. Producers and retailers of controversial luxury apparel products or interested researchers could use the model in their exploration of consumer attitudes and behavioral intentions. Luxury exotic leather producers and retailers could use the results as they develop merchandising and promotions campaigns for their product lines.

The theory could be used to predict purchase intention of other controversial and/or luxury fashion merchandise. Information about affluent female consumers' knowledge, perceptions, and purchase intention of American alligator leather apparel is provided, thus expanding the current limited literature.

In response to international competition and pressure from retailers, US apparel manufacturers and their suppliers initiated the Quick Response (QR) program. QR seeks to provide retailers with the exact stock‐keeping units (SKUs) which consumers demand and to deliver these SKUs quickly. An effective QR program requires rapid transmission of data throughout the value chain, from the retailer back to apparel manufacturers, fabric producers and fibre manufacturers. Therefore, electronic data interchange (EDI) is a key component of QR and should be tightly linked with other information systems at each level of the value chain. This research is an empirical study of the degree to which EDI has been implemented by US apparel manufacturers and the extent to which EDI is integrated with other information systems. It was found that apparel manufacturers use EDI to establish tight linkages with their customers, the retailers. Manufacturers are less likely to increase their own efficiencies by linking EDI with internal information systems or by establishing EDI linkages with suppliers. The lack of supplier linkages may reduce manufacturers' ability to replenish retail inventories quickly, which is the primary objective of QR.