9 resultados para Clothing Industry

em Deakin Research Online - Australia


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Examines the effect of price of labor, capital labor ratio and openness on the output of the Australian domestic clothing industry. Use of the unrestricted error correction model; Estimated short-run and long-run elasticities; Hourly wage costs; Bounds test for cointegration analysis.

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Purpose – The aim of the paper is to describe and explain, using a combination of interviews and content analysis, the social and environmental reporting practices of a major garment export organisation within a developing country.

Design/methodology/approach – Senior executives from a major organisation in Bangladesh are interviewed to determine the pressures being exerted on them in terms of their social and environmental performance. The perceptions of pressures are then used to explain – via content analysis – changing social and environmental disclosure practices.

Findings – The results show that particular stakeholder groups have, since the early 1990s, placed pressure on the Bangladeshi clothing industry in terms of its social performance. This pressure, which is also directly related to the expectations of the global community, in turn drives the industry's social policies and related disclosure practices.

Research limitations/implications – The findings show that, within the context of a developing country, unless we consider the managers' perceptions about the social and environmental expectations being imposed upon them by powerful stakeholder groups then we will be unable to understand organisational disclosure practices.

Originality/value – This paper is the first known paper to interview managers from a large organisation in a developing country about changing stakeholder expectations and then link these changing expectations to annual report disclosures across an extended period of analysis.

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Purpose – The textiles, clothing, and footwear (TCF) industry has struggled in Australia since the government commenced dismantling tariffs. By sourcing from Asia, middlemen undercut established suppliers, and retail chains set benchmark low prices with their imported “house” labels. The policy-makers predicted that local producers would become more efficient, and export to make up for lost sales, but the media paints a picture of rising imports, retrenchments, and factory closures. The research objective was to discover what strategies the survivors (actually) employ in adapting to the pressures of globalisation.

Design/methodology/approach – More than 30 companies were involved in the study, ranging from small family businesses to subsidiaries of big multinationals. Each case study was based on an interview with a senior executive, normally followed by a plant tour. This methodology suits a fresh topic, as it avoids preconceptions and imposes no bounds.

Findings – Results show that the policy change was based on “pie in the sky” forecasts. Increasingly, TCF production is transferred to cheap offshore locations, generally via subcontracting plus the “badging” of foreign designs. To survive, local factories should focus on quality and customer service, preferably in niche markets (like uniforms), or for specific customer groups, and develop technologically advanced products. A move down the supply chain into retailing can also assist. Large multinational corporations that engage in foreign direct investment dominate the management literature.

Originality/value – This paper presents a different perspective, neglected in international operations management, whereby domestically oriented businesses attempt to defend themselves against the adverse consequences of globalisation.

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This paper examines pattern of comparative advantage in textiles and clothing trade as revealed by export shares of selected developed and developing economies. The estimated revealed comparative advantage (RCA) indices provided strong evidence of comparative advantage enjoyed by the developing economies. However, a few developed high income economies have enjoyed sustainable comparative advantage, especially in textiles trade. Significant negative correlations are observed between country specific income levels and the estimated absolute and relative RCA indices. While most of the developing economies achieved significant improvement of comparative advantage over time in clothing trade, the evidence is mixed for textiles. Additional evidence from Grubel-Lloyd (G-L) index of intra industry trade (IIT) suggest that global textiles trade could be mainly explained on the basis of product differentiation and economies of scale while clothing trade is more based on comparative advantage. Results of the study also suggest that the trading nations should engage in exploitation of forms of competition such as product differentiation in textiles trade, whereas for clothing, cost minimising remains a valid strategy.

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This paper aims to contribute to current business ethics literature by conceptualising the relationship between organisational culture, corporate strategy, and target stakeholders and the formation of a CSR orientation. The paper will further explore whether corporate social responsibility policies and practices will result in an overall improved positional advantage for the firm and, as a consequence, positively enhance organisational performance. These relationships will be examined within the context of the retail industry in Australia, focusing on the food, clothing and textiles, and footwear sectors.

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This paper investigates the social and environmental disclosure practices of two large multinational companies, specifically Nike and Hennés & Mauritz. Utilising a joint consideration of legitimacy theory and media agenda setting theory, we investigate the linkage between negative media attention, and positive corporate social and environmental disclosures. Our results generally support a view that for those industry-related social and environmental issues attracting the greatest amount of negative media attention, these corporations react by providing positive social and environmental disclosures. The results were particularly significant in relation to labour practices in developing countries - the issue attracting the greatest amount of negative media attention for the companies in question.

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This paper presents an intelligent clothing framework for human daily activity recognition using a single waist-worn tri-axial accelerometer sensor coupled with a robust pattern recognition system. The activity recognition algorithm is realized to distinguish six different physical activities through three major steps: acceleration signal collection/pre-processing, wavelet-based principle component analysis, and a support vector machine classifier. The proposed activity recognition method has been experimentally validated through two batches of trials with an overall mean classification accuracy of 95.25 and 94.87%, respectively. These results suggest that the intelligent clothing is not only able to learn the activity patterns but also capable of generalizing new data from both known and unknown subjects. This enables the proposed intelligent clothing to be applied in a comfortable and in situ assessment of human physical activities, which would open up new market segments to the textile industry.