The in-depth assessment of the situation of the European textile and clothing sector is composed by six independent reports with a close focus on key aspects useful to understand the dynamics and the development of the textile and clothing industry, drivers of change – most notably the impact of the financial crisis – and identification of policy responses and best practices. This has been done in six specific tasks leading to the six reports: Task 1 Survey on the situation of the EU textile and clothing sector Task 2 Report on research and development Task 3 Report on SME situation Task 4 Report on restructuring Task 5 Report on training and Education Task 6 Report on innovation practices The objective of task 4 was to provide an assessment of past or on-going restructuring and modernisation processes in textile and clothing enterprises in the EU and their responses. This task provides an overview of drivers of restructuring and presents an anatomy of restructuring of the textile and clothing industry in the EU in terms of changes in the company business models. Case studies were carried out in five textile and clothing manufacturing regions of the EU with a particular emphasis on emerging strategies and business models and providing evidence for the impacts of restructuring processes. Another objective has been to analyse framework conditions and identify constraints and best practice measures and initiatives at company and regional/national level concerning anticipation of change and management of modernisation and restructuring processes, so that these examples may inform policy action and initiatives in other regions in Europe.
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Local online retail platforms (LORPs) are gaining popularity as digital channels that can increase physical retail agglomerations’ attractiveness and viability by stimulating online sales and consumer footfall. However, insights are needed to enrich academic understanding and guide practitioners in their decision-making process regarding use and optimization of these platforms for boosting retail agglomeration vitality. Drawing on uses and gratifications theory, an online survey of 442 Dutch consumers revealed that positive attitudes toward browsing LORPs induced both online purchase and offline visit intentions. Interestingly, despite LORPs' local focus, non-place-specific motives more substantially impacted positive browsing-related attitudes toward LORPs than place-specific ones.
Citizens regularly search the Web to make informed decisions on daily life questions, like online purchases, but how they reason with the results is unknown. This reasoning involves engaging with data in ways that require statistical literacy, which is crucial for navigating contemporary data. However, many adults struggle to critically evaluate and interpret such data and make data-informed decisions. Existing literature provides limited insight into how citizens engage with web-sourced information. We investigated: How do adults reason statistically with web-search results to answer daily life questions? In this case study, we observed and interviewed three vocationally educated adults searching for products or mortgages. Unlike data producers, consumers handle pre-existing, often ambiguous data with unclear populations and no single dataset. Participants encountered unstructured (web links) and structured data (prices). We analysed their reasoning and the process of preparing data, which is part of data-ing. Key data-ing actions included judging relevance and trustworthiness of the data and using proxy variables when relevant data were missing (e.g., price for product quality). Participants’ statistical reasoning was mainly informal. For example, they reasoned about association but did not calculate a measure of it, nor assess underlying distributions. This study theoretically contributes to understanding data-ing and why contemporary data may necessitate updating the investigative cycle. As current education focuses mainly on producers’ tasks, we advocate including consumers’ tasks by using authentic contexts (e.g., music, environment, deferred payment) to promote data exploration, informal statistical reasoning, and critical web-search skills—including selecting and filtering information, identifying bias, and evaluating sources.
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