1. Background. The Orange economy includes creative and cultural activities; and it has aroused great interest, both for research on growth and for public agencies and institutions, which have highlighted its capacity as an economic engine and a generator of sustainable growth. Despite this widely disseminated argument, empirical evidence is scarce. 2. Methods. This paper aims to resolve that, based on an analysis of Orange economy companies in two Spanish regions—the Valencian and Galician Autonomous Communities—for the period between 2000 and 2019. Based on the SABI^® database, which contains data from the annual accounts that companies must submit to Mercantile Registry, company’s data have been grouped into three large subgroups and within activity branches. 3. Results. The Orange economy revenues and earnings have contributed at a higher growth rate than of the economy as a whole. It has achieved higher profitability ratios on a lasting basis over time. Although, there are differences between the various activities included in this sector 4. Conclusions. The Orange economy can be considered as an engine and a generator of sustained growth over time. Furthermore, results obtained show that the Orange economy is a sector that is resilient against crisis.

1. Background. It is well-known that innovation contributes to economic growth, improves productivity and enables competitive advantage. However, beyond these matters, it would be of interest to know what role innovation plays in relation to sustainability. This paper focuses on whether innovation is a driver of sustainability in its three dimensions: social, economic and environmental. 2. Methods. The study was conducted with companies in the Valencian community (Spain) to analyze whether they significantly contribute to sustainability as innovators. Economical sustainability was assessed based on economic and financial profitability; social sustainability was assessed by employment generation. To determine whether companies contributed to environmental sustainability, we considered those which, apart from a reputation (“label”) in innovation, had some kind of environmental certification. 3. Results. Our results indicate that innovative companies are more profitable and generate more employment. However, there are no differences in terms of performance and employment generation between innovative companies and those that are also environmentally sensitive. 4. Conclusion. Innovation is a driving force of economic and social sustainability in the studied area, but environmental sensitivity is not a driver for economic and social sustainability.

Pressure from stakeholders for sustainable development is forcing top management to reconsider its supply chain management. This form of sustainability must consider the risks, insecurities, and lack of proximity caused by any event on the global economy. Organizations must identify and manage the risks of every link in the chain, while pursuing sustainable development. Corporate social responsibility (CSR) and sustainable development must be the result of a deliberate and coordinated response by the entire organization. A suitable segmentation of suppliers allows development strategies to be prioritized. This article presents the steps that should be followed in supply chain management, the identification of risks, and the new leadership of purchasing management to develop a sustainable supply chain. To this end, some of the key industrial actions reported in the literature are outlined, and two case studies are presented to identify the steps for the segmentation and dynamic development of suppliers. This article provides reflections on the responsibilities of senior management in the new era of sustainable development and presents guidance on how to coordinate sustainable development in the supply chain.

The definition of lot sizes represents one of the most important decisions in production planning. Lot-sizing turns into an increasingly complex set of decisions that requires efficient solution approaches, in response to the time-consuming exact methods (LP, MIP). This paper aims to propose a Tabu list-based algorithm (TLBA) as an alternative to the Generic Materials and Operations Planning (GMOP) model. The algorithm considers a multi-level, multi-item planning structure. It is initialized using a lot-for-lot (LxL) method and candidate solutions are evaluated through an iterative Material Requirements Planning (MRP) procedure. Three different sizes of test instances are defined and better results are obtained in the large and medium-size problems, with minimum average gaps close to 10.5%.