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The accessories, footwear and hosiery industries have always been important complements to the apparel industry. While the demand for apparel has been studied fairly extensively, the demand for accessory items has been overlooked. To gain a better understanding of the demand for accessories, footwear, and hosiery, it is the purpose of this research to estimate expenditure equations for accessories, footwear and hosiery; and to profile the consumer characteristics of the purchasers and non‐purchasers of these items. An economic model of demand provides the theoretical framework. Expenditure equations are estimated using data from the 1990–91 Consumer Expenditure Survey. The results indicate that income, family size and education positively affect expenditures on accessories, footwear and hosiery while the results for age, occupation and region vary among the categories. The results have implications for producers and marketers of accessories, footwear and hosiery.

This paper presents an empirical contribution to the literature on cluster evolution, highlighting the decline phase. The analysis focuses on the footwear sector in Rio Grande do Sul (RS) state, in southern Brazil, where an important footwear cluster is located, which was once considered one of the world's largest footwear clusters. The purpose of this study is to analyse the transformation of this footwear industrial sector since the beginning of the 2000s using several sectoral statistics.

This paper presents an empirical and longitudinal study that comprises the sourcing of 20 years of secondary data, based on official sources. The main data analysed were production, price, industrial structure, labour market and foreign market.

The main results indicated a significant reduction in production, export and employment. In addition, a precarization of the labour market was observed, with lower wage levels, even with an increase in the formal qualification of labour over time. The finding is that the RS footwear sector underwent a huge structural change and lost the status of a worldwide supercluster. This decline occurred due to two central factors: an external shock related to China's entry into the international and Brazilian domestic markets, accompanied by a slowdown in the Brazilian economy since 2015; and the difficulty of local firms responding to the new challenges.

Synthesizing the findings, it is understood that this paper contributes to registering the trajectory of decline over time of the footwear sector in RS. In this sector, the Sinos Valley cluster is located, historically known as a footwear producing and exporting supercluster. This cluster loses the characteristic of a “supercluster”, but it still remains an important footwear cluster in Brazil. Therefore, this study reinforces the existence of fragilities already pointed out by the literature in Schimtz (1999) and, more recently, in Schmidt (2020). The need to address a set of fragilities remains current, both at the micro- and meso-levels. This is key to reversing the decline trajectory of the cluster and the sector. Moreover, as recent studies on clusters point out, one still must think about the impact of another ongoing paradigmatic transformation concerning the use and development of Industry 4.0 technologies. Thus, the central challenge is to think about and implement new public and private policies. The historical, economic and social relevance of the sector and the cluster demand efforts to reverse the decline.

This study focuses to contribute to the discussion about the decline of the footwear production in the region by analysing secondary data regarding the industrial sector. This is an analysis at the meso-level (industry). The authors understand that the originality of the research lies in the longitudinal analysis for a recent period (past 20 years) that captures the greatest current crisis experienced by the region.

Compares and contrasts the effects of the resale price maintenance abolition of 1964 emerging in different products and markets, with particular emphasis on the furniture and footwear trades. Finds that the furniture trade has been more significantly affected, with a higher consciousness of consumer needs among its retailers.

Provides an overview of the present state of the footwear manufacturing industry and the consumer footwear market. Describes how many manufacturers have recognized the need for advanced manufacturing techniques and automation technologies, turning to robotics and automation for more reliable manufacturing system solutions. Reports on the robotics integration and system‐level products specifically targeted for footwear manufacturing operations provided by three specialist companies; ACTIS Engineering, DESMA and Intelligent Machines Corporation.

The purpose of this paper is to analyse the structure of knowledge networks and the geographical patterns of knowledge networking in mature industrial clusters. To such end, it is assumed that proximity is not really what matters in innovation, but rather the embeddedness of firms into localised networks, enhancing collective learning and knowledge diffusion.

The research is contextualized in the footwear industry and applies the microeconomics of innovation (grounded in the resource based view and social capital approach) and industrial clusters/districts as theoretical frameworks. Methodologically, the paper adopts an exploratory perspective and employs a qualitative approach to conduct a cross‐case analysis of the Leon‐Guanajuato cluster (Mexico) and the Vinalopo cluster (Spain).

Firstly, this paper endorses recent research trends suggesting that knowledge is unevenly and selectively distributed among clustered firms. Secondly, it evidences how internal resources determine a firm's access to valuable repositories of knowledge. Thirdly, key knowledge players are usually involved in extra‐clusters networking, indicating that mere reliance on localized knowledge may result in declining trajectories.

Because the case study approach and qualitative methodologies are used, readers are advised not to generalize the findings. The research on the subject matter is offered as a means to substantiate or refute the latest research premises, and provide evidence on the selected clusters.

This paper shows how knowledge networks differ depending on geographical specific characteristics and the resources of the main players. Managers‐owners should be conscious that being close to one another is not enough. It should be combined with both solid internal resources and access to repositories of knowledge outside the cluster. Policy makers should prepare customized public programs based on the particular structure of each cluster.

This paper aims to understand the contribution of research and transfer institutes (RTIs) to digitising in traditional Marshallian industrial districts (IDs). This study answers how to digitise small and medium-size enterprises (SMEs) in IDs capitalising on RTIs? As collective actors, RTIs introduce change in local/regional innovation systems where they are embedded.

This paper uses qualitative evidence based on interviews and secondary data analysis on digitising the Vinalopo Footwear district in Spain.

This paper provides empirical insights about how RTIs perform research and development (R&D) and non-R&D activities to digitise, facilitated by leading firms that frequently engage with RTIs. Subsequently, leading firms interact and diffuse Industry 4.0 within their networks of SMEs. RTIs activate digitising in districts avoiding the manifested reluctance of SMEs to engage with them, capitalising on leading firms’ networks orchestration.

Because of the chosen research approach, the findings are limited to the chosen setting and method.

This paper includes implications for policymakers, responding to the paradox of how to activate knowledge transfer from RTIs to SMEs, when the latter are reluctant to use RTIs.

This paper fulfils an identified need to study how to digitise IDs and clusters.

This paper aims to identify and empirically analyze useful and applicable metrics for measuring and managing the sustainability performance of small and medium-sized enterprises (SMEs).

To achieve the objective of the paper, potential metrics were adopted from previous research related to industrial sustainability and an empirical analysis was carried to assess the applicability of the metrics by collecting empirical data from Italian footwear SMEs using a structured questionnaire. The SMEs were selected using a convenience sampling method.

The results of the within-case analysis and the cross-case analysis indicate that the majority of the metrics were found to be useful and applicable to each of the SMEs and across the SMEs, respectively. These metrics emphasized measuring industrial sustainability performance related to financial benefits, costs and market competitiveness for the economic sustainability dimension; resources for the environmental sustainability dimension; and customers, employees and the community for the social sustainability dimension.

Apart from the within-case analysis and cross-case analysis, it was not possible to conduct statistical analysis since a small number of SMEs were accessible to collect empirical data.

The findings of the paper have considerable academic, managerial and policy implications and will provide a theoretical basis for future research on measuring and managing industrial sustainability performance. By providing a set of empirically supported metrics based on the triple bottom line approach (i.e. economic, environmental and social metrics), this paper contributes to the existing knowledge in the field of industrial sustainability performance measurement.

Represents an experiment in style and methodology. Presents stories of managing decline in a rapidly deregulating environment. Collected data from managers in the New Zealand footwear manufacturing industry in face‐to‐face interviews with the intention of giving an insider view of strategic change. Highlights the stories of the managers, both visually and structurally, and places the academic discourse of theory and method in this background. Six stories demonstrate the diversity of the journeys taken in an attempt to manage decline in one industry. Suggests that, from the manager’s perspective, destination is determined by (and after) the journey, and not vice versa as suggested in the classical strategic management literature.

The lack of suitable indicators tailored to manufacturing industries’ needs, particularly to small and medium enterprises (SMEs), has been the major challenge to measure and manage industrial sustainability performance. This paper aims to empirically analyze and select the useful and applicable indicators to measure sustainability performance in the context of SMEs.

A systematic review was carried out to identify potential sustainability indicators from the literature. A questionnaire was designed based on the identified indicators and then pretested with the selected industrial experts, scholars, and researchers to further refine the indicators before data collection from the Italian footwear SMEs. Fuzzy Delphi method with consistency aggregation method was applied to analyze and select the final indicators.

The study’s findings show that the selected indicators emphasized measuring progress toward achieving industrial sustainability goals in terms of increasing financial benefits, reducing costs, improving market competitiveness, improving the effectiveness of resources utilization, and promoting the well-being of employees, customers and the community. In doing so, Italian footwear SMEs can contribute to achieving the Sustainable Development Goals (SDGs) by promoting health and well-being, promoting sustainable economic growth, providing productive employment and decent work, and ensuring responsible consumption and production.

The results of this study have significant social implications in terms of promoting the well-being of employees, customers, and the community.

By providing empirically supported indicators tailored to measure and manage sustainability performance in the context of SMEs, this paper contributes to the existing knowledge in the field of industrial sustainability performance measurement. Furthermore, it links the selected indicators to their respective SDGs to provide policy implications.