This paper is concerned with the management of multi-plant manufacturing networks. Two key concepts in this domain are plant roles and plant autonomy in the context of operations strategy decision-making. We investigate the relationship between these two concepts and their impact on plant performance. We use data from 102 manufacturing plants belonging to multi-plant networks. The results suggest a relationship between plant roles and operations strategy decision-making structures. Plants with high levels of decision-making autonomy typically have high levels of production, supply chain, and development competences, while plants with a low level of decision-making autonomy are primarily those with only production site competences. Integrated structures for operations strategy decision-making, which include both the network level and the plant level, exist for all plant types and are thus not restricted to plants with a certain set of site competences. In accounting for both the plant type and decision-making structure, we were unable to detect any significant differences between groups in terms of performance effects. Instead, it seems that the fit between plant type and decision-making structure is important and that choosing the right type of operations strategy decision-making structure moderates the performance of plants with low site competence levels.

In order to contribute to research on implementing business sustainability, this study aims to explore the distribution of decision-making authority related to economic, environmental, and social sustainability. Sustainability objectives between different organizational levels in multinational manufacturing enterprises (MMEs) are investigated. The research is fundamentally exploratory. We conducted a multiple case study endeavor with nine participating case organizations. The study identified five different decision-making approaches to sustainability in multinational manufacturing enterprises. The findings showed that there was no consistent way of deciding upon sustainability issues. Some case organizations seemed to regard sustainability as a global concern, while others regarded it as a more local concern. In general, the economic sustainability dimension was regarded as more of a global concern, while the environmental dimension was more of a local concern, and the social dimension more of an integrated concern. The findings of this study can act as guidance for managers when implementing or improving sustainability strategies. The findings will also serve as a map to navigate and understand what should be given the strongest priority in different situations concerning decision-making relating to sustainability in manufacturing processes and networks.

The current nature of steel design and production is a response to meet increasingly demanding applications but without much consideration of end-of-life scenarios. The scrap handling infrastructure, particularly the characterization and sorting, is unable to match the complexity of scrapped products. This is manifested in problems of intermixing and contamination in the scrap flows, especially for obsolete scrap. Also, the segmentation of scrap classes in standards with respect to chemical compositions is based on tolerance ranges. Thus, variation in scrap composition exists even within the same scrap type. This study applies the concept of expected value of perfect information (EPVI) to the context of steel recycling. More specifically, it sets out to examine the difference between having partial and full information on scrap composition by using a raw material optimization software. Three different scenarios with different constraints were used to appraise this difference in terms of production and excess costs. With access to perfect information, production costs decreased by 8–10%, and excess costs became negligible. Overall, comparing the respective results gave meaningful insights on the value of reestablishing the compositional information of scrap at the end of its use phase. Furthermore, the results provided relevant findings and contribute to the ongoing discussions on the seemingly disparate prioritization of economic and environmental incentives with respect to the recycling of steel.

The Routledge History of Modern Latin American Migration offers a systematic account of population movements to and from the region over the last 150 years, spanning from the massive transoceanic migration of the 1870s to contemporary intraregional and transnational movements. The volume introduces the migratory trajectories of Latin American populations as a complex web of transnational movements linking origin, transit, and receiving countries. It showcases the historical mobility dynamics of different national groups including Arab, Asian, African, European, and indigenous migration and their divergent international trajectories within existing migration systems in the Western Hemisphere, including South America, the Caribbean, and Mesoamerica. The contributors explore some of the main causes for migration, including wars, economic dislocation, social immobility, environmental degradation, repression, and violence. Multiple case studies address critical contemporary topics such as the Venezuelan exodus, Central American migrant caravans, environmental migration, indigenous and gender migration, migrant religiosity, transit and return migration, urban labor markets, internal displacement, the nexus between organized crime and forced migration, the role of social media and new communication technologies, and the effects of the COVID-19 pandemic on movement. These essays provide a comprehensive map of the historical evolution of migration in Latin America and contribute to define future challenges in migration studies in the region. This book will be of interest to scholars of Latin American and Migration Studies in the disciplines of history, sociology, political science, anthropology, and geography.