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The best strategy to apply for the future cannot disregard a careful analysis of the past and is the one capable of seizing opportunities from outside. Manufacturing sectors are characterized by sudden changes, and in this work, we analyze the ceramic tiles sector characterized by a mature technology in which innovation has played a key role.

This study aims to provide a sectorial analysis based on a historical data set (2004–2019) to highlight how an industry is performing both operationally and in terms of eco-efficiency. For this purpose, from a methodological point of view, the data envelopment analysis (DEA) was used.

The results of the analysis show that the Spanish ceramics industry shows a growing economic trend by taking advantage of lower industrial costs, while the Italian industry is characterized by a modest decline partially mitigated by exports. The industrial districts are an aggregation of companies that in the ceramic sector has allowed to combine innovation, sustainability and digitalization and is a model toward the maximization of sustainable efficiency because it is a place of aggregation of resources and ideas.

This study experiments with an innovative way of addressing traditional industry analysis, namely, integrating the reflective management approach with DEA-based backward analysis. This provides decision makers with the basis for new interpretations of variable trends.

The purpose of this paper is to explore how sustainability can become a source of competitive advantage for mature manufacturing sectors where technologies are standardized, and innovation is mainly generated across the value chain and not by individual companies.

From the methodological point of view, this research estimates the sustainability status of ceramic production in the Sassuolo district (Italy), using the Life Cycle Sustainability Assessment (LCSA) model, and changing the observation point for the analysis, from the enterprise (micro level) to the entire sector (meso level).

This paper provides an analysis of the environmental, economic and social impacts of the four main types of ceramic tiles manufactured in Italy, both in aggregate terms for the entire sector and per square meter of product.

The methodological approach used in this research is easy to replicate both for companies when designing their sustainability strategies and for public decision makers when assessing the sustainability performance of a sector or supply chain.

For the first time, a socio-economic impact assessment is proposed for the ceramic sector, conducted in parallel with the environmental impact assessment through stakeholder mapping and prioritization.

This paper conceptualizes the theme of relations and interdependencies between ceramic producers organized in industrial districts and the territories in which they operate in order to determine empirically the sustainability performance of Italian ceramic sector, using the LCSA model with a territorial extension that presupposes an innovative contribution to current literature and practice.

The aim of this paper is to present design management as a dynamic capability and to analyze its mediating role between organizational learning capability and product innovation performance in small and medium enterprises (SMEs).

Structural equation modeling is used to test the research hypotheses based on data from the Italian and Spanish ceramic tile industries. The data are derived from the responses of 182 companies (50 percent of the target population) to a questionnaire addressed to Product Development Managers and Human Resource Managers.

The results suggest that organizational learning capability enhances product innovation through the mediation of design management capability. The authors find an interesting interplay between organizational learning, design management capability and product innovation that can be very useful to better understand how to improve innovation performance. This finding shows that design management, as a dynamic capability, emerges from learning and allows the firm to adapt to environmental changes.

Several works have studied dynamic capabilities but without specifying the nature of these capabilities. More recent empirically‐based studies conceptualize and refer to specific dynamic capabilities. In this paper, the authors present design management as a dynamic capability. This study aims also to develop a better understanding of how organizational learning capability impacts on the product innovation performance of SMEs and how this relationship is mediated by design management capability.

The purpose of this paper is to analyse the production cycle of glazed porcelain stoneware, from the extraction of raw materials to the packaging of the finished product, with the aim of verifying the effects of integrating an environmental impact assessment into the decision-making process for managing the life cycle, to make it economically and ecologically sustainable, in a holistic approach along the supply-chain.

The research is performed using the life cycle assessment and life cycle costing methodologies, to identify environmental impacts and costs, that occur during extraction of raw materials, transportation, ceramic tiles production, material handling, distribution and end-of-life stages within a cradle to grave perspective.

Through the use of a comprehensive analysis of the environmental impact assessment and related externalities, three possible strategic options to improve the environmental performance and costs of ceramic tile production were formulated, leveraging sustainability as a competitive advantage.

This exploratory research opens future lines of investigation, the first of which is to confirm the technological feasibility and market responsiveness to the three strategic solutions hypothesised thanks to the use of an innovative eco-design technique.

The research has allowed testing and validating the tools of environmental impact assessment (life cycle assessment) and economic impact assessment (life cycle costing as structured methodologies in a life cycle management framework, to help companies implement competitive strategies based on sustainability.

To determine the degree of use of some of the most representative lean production (LP) practices in the Spanish ceramic tile industry, their relationship with plant size and their effect on the operational performance of the companies in the sector.

A questionnaire was developed for data collection. Findings are presented from 76 companies (79.17 per cent of the total sample) that specialise in single firing ceramics.

In the sector under study, there is one set of practices that have as yet scarcely been implemented (group technology, kanban, reduction of set‐up time, development of multi‐function employees and visual factory) and another set whose use is fairly widespread (standardisation of operations, total productive maintenance and quality controls). The degree of their respective use depends on a firm's size. Very few correlations appear between the degree of use of any specific LP practice in isolation and the operational indicators.

For certain variables we found very little variation between the firms in our sample. Moreover, many firms did not have available the data needed for calculating capacity utilisation, and hence we have not been able to check its effects in our analysis.

The paper presents data for reflecting on the application of different LP practices in isolation and on the impediments limiting the use of some of them in the sector.

The paper extends the work of other researchers by focusing on a sector and a country that have been very little studied until now. The sample consists of a set of firms that are fairly homogeneous; this facilitates analysing the relationships between the selected variables while keeping other variables controlled.

The aim of this paper is to introduce uncertainty analysis within an environmentally extended input‐output technological model of life cycle costing. The application of this approach will be illustrated with reference to the ceramic floor tiles manufacturing process.

Input‐output analysis (IOA) provides a computational structure which is interesting for many applications within value chain analysis and business processes analysis. A technological model, which is built bottom‐upwards from the operations, warrants that production planning and corporate environmental accounting be closely related to cost accounting. Monte Carlo methods have been employed to assess how the uncertainty may affect the expected outcomes of the model.

It has been shown, when referring to a vertically‐integrated, multiproduct manufacturing process, how production and cost planning can be effectively and transparently integrated, also taking the product usage stage into account. The uncertainty of parameters has been explicitly addressed to reflect business reality, thus reducing risk while aiding management to take informed actions.

The model is subject to all the assumptions characterizing IOA. Advanced issues such as non linearity and dynamics have not been addressed. These limitations can be seen as reasonable as long as the model is mostly tailored to situations where specialized information systems and competences about complex methods may be lacking, such as in many small and medium enterprises.

Developing a formal structure which is common to environmental, or other physically‐driven, assessments and cost accounting helps to identify and to understand those drivers that are relevant to both of them, especially the effects different design solutions may have on both material flows and the associated life cycle costs.

This approach integrates physical and monetary measures, making the computational mechanisms transparent. Unlike other microeconomic IOA models, the environmental extensions have been introduced. Uncertainty has been addressed with a focus on the easiness of implementing the model.

This paper aims to analyze the impact of the capabilities and strategies of the actors (micro-dynamics), learning process and networks (meso-dynamics) and institutions (macro-dynamics) in the evolution of the Brazilian ceramic clusters. Based on these experiences, managerial and policy implications are suggested.

Main data were gathered through 22 in-depth face-to-face interviews with managers and industry experts. The data were complemented by documentary analysis, including brand documents, descriptions of internal processes and Brazilian and international ceramics magazines and journals. In addition, the authors also use information from the previous experience of the authors who have been studying the sector for more than 15 years.

The paper provides empirical insights about the main characteristics of the evolution of two main Brazilian ceramic tiles clusters, as well as how there are different patterns of evolution among them. The results of this paper show that Brazilian ceramic tile clusters do not necessarily follow the life cycle model of their dominant industry, by proving evidence that different clusters in the same industry can follow different evolutionary paths.

This paper shed light on a multi-level approach (micro, meso and macro) of dynamics of the clusters and how it impacts the cluster’s life cycle. The micro-dynamics dimension was analyzed by the capabilities and strategies of local ceramic tile manufacturers. The meso-dynamics are being considered the localized learning processes, especially from those that arise from interactions, collaboration and networks carried by local and foreign suppliers. The macro-dynamics were considered by the role of local demand, factors conditions, institutions, historical legacy in the clusters’ emergence along with path dependence mechanisms.

The paper includes implications for both clusters to promote innovation, particularly to keep and create market and technological leadership through the establishment of partnership between firms and clients, regulators and research centers and universities are crucial for innovation.

This paper fulfils an identified lack of attention regarding the under-appreciation of the context-specific issues such as the capabilities of the actors, networks and institutions that may influence the long-term development of clusters.

Considers the importance of geographical and institutional factors in the development of clusters and industrial districts as a response to economic integration in the European Union (EU). Theoretical works by economists, economic geographers and organisational theorists are synthesised to provide a framework for the analysis of the emergence and/or development of the geographical concentration of firms in response to economic integration in the EU. An explanation based on competitive advantages from creating or developing geographical concentration in response to economic integration is proposed. A threefold classification is made to distinguish between different types of industrial geographical concentration – clusters, industrial districts type I, and industrial districts type II. Argues that the main difference between these three kinds of geographical concentration is attributed to the nature of their networks. Finally, the paper illustrates the importance of geographical concentrations for international business by considering a famous Italian industrial district, the ceramic tile industry in Sassuolo.

Personalization of products, mix variability and short time to market are the most important factors that have forced companies to a new form of organization during past years. A very common reply to this question is a lean organization based on flexibility of productive lines, reduction of storage and integration among company sections. In this context, quite differently from a traditional system, the maintenance function must work efficiently. Also the maintenance division must contribute to the success of the factory. Aims to introduce a methodology for a soft and tenable application of the principles of total productive maintenance (TPM) in Italian factories. The first step of the study is an explanation of the actual situation, usually based on traditional or on productive maintenance. After a brief introduction, focuses on TPM links with productive maintenance in order to suggest a method for TPM. Concludes with a real application of TPM in a big factory, with a description of a world leader in plant manufacturing for the ceramics industry.