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When is it more profitable for multinational manufacturers to manufacture in high-cost environments and when in low-cost environments? While the literature offers many cues to answer this question, too little empirical research directly addresses this. In this study, we quantitatively and empirically investigate the financial effect of companies' production footprint in low-cost and high-cost environments for different types of production networks.

Using the data of 770 multinational manufacturing companies, we analyze the relationship between production footprints and profitability during four calendar semesters in 2018 and 2019 (N = 2,940), investigating the moderating role of companies' production network type.

We find that companies with networks distinguished by both high levels of product complexity and process sophistication profit the most from producing to a greater extent in high-cost countries. For these companies, shifting production to low-cost countries would be associated with negative performance implications.

Our findings suggest that the production geography of companies should be attuned to their network type, as defined by the companies' process sophistication and product complexity. Manufacturing in low-cost countries is not always the best choice, as doing so can adversely affect profits if the products are highly innovative and the production processes are complex.

We contribute to the scarce empirical literature on managing global production networks and provide a data-driven analysis that contributes to answering some of the enduring questions in this critical area.

This study builds on knowledge-based view (KBV) research and the natural resource-based view of the firm (NRBV) to examine the effect of knowledge absorptive capacity on innovative performance. It also investigates the mediating role of three dimensions of the cluster environment: degree of network, institutional environment and access to factors of production.

By means of partial least squares-based structural equation modelling method, the study validated and analysed the responses of 503 owners and managers of small and medium-sized enterprises (SMEs) in the wood industrial cluster of Cote d'Ivoire, a developing economy.

The analysis and results reveal that knowledge absorptive capacity strongly predicts cluster environment and innovation performance. Moreover, the cluster environment emerged as a powerful determinant of innovation performance and a mediator of the effect of knowledge absorptive capacity on innovation performance. Unequivocally, institutional support has no significant impact on knowledge absorptive capacity (KAC) and innovative performance mediation relationship and is not a key determinant of innovative performance.

This study offers a key departure from past studies by linking knowledge absorptive capacity to innovative performance and the cluster environment in SMEs. It also extends knowledge concerning the role of KBV, NRBV and relational theory in innovation performance.

This study aims to propose a refined dynamic network slacks-based measure (DNSBM) to evaluate the efficiency of China's regional green innovation system which consists of basic research, applied research and commercialization stages and explore the influencing factors of the stage efficiency.

A two-step procedure is employed. The first step proposes an improved DNSBM model with flexible settings of stages' input or output efficiency and uses second order cone programming (SOCP) to solve the non-linear problem. In the second step, least absolute shrinkage and selection operator (LASSO) and Tobit models are used to explore the influencing factors of the stage efficiency. Global Dynamic Malmquist Productivity Index (GDMPI) and Dagum Gini coefficient decomposition method are introduced for further discussion of the productivity change and regional differences.

On average, Chinese provincial green innovation efficiency should be improved by 24.11% to become efficient. The commercialization stage outperforms the stages of basic research and applied research. Comparisons between the proposed model and input-oriented, output-oriented and non-oriented DNSBM models show that the proposed model is more advanced because it allows some stages to have output-oriented model characteristics while the other stages have input-oriented model characteristics. The examination of the influencing factors reveals that the three stages of the green innovation system have quite diverse influencing factors. Further discussion reveals that Chinese green innovation productivity has increased by 39.85%, which is driven mainly by technology progress, and the increasing tendency of regional differences between northern and southern China should be paid attention to.

This study proposes an improved dynamic three-stage slacks-based measure (SBM) model that allows calculating output efficiency in some stages and input efficiency in the other stages with the application of SOCP approach. In order to capture productivity change, this study develops a GDMPI based on the DNSBM model. In practice, the efficiency of regional green innovation in China and the factors that influence each stage are examined.

This research paper aims to explore the impact artisan cooperatives have upon women employed in Sub-Saharan Africa. Impacts were detailed using the theoretical framework of social capital theory to demonstrate the networks within artisan cooperatives that connect to greater opportunities for social and economic benefits.

A phenomenological approach was used for this study based upon the shared experiences of women who were leading artisan cooperatives in Sub-Saharan Africa. This study included semi-structured interviews over Zoom with Chief Entrepreneur Founders of artisan cooperatives located in Sub-Saharan Africa. Documents from the cooperatives were analyzed to triangulate the cooperatives’ current projects and efforts.

Three prevalent themes emerged: (1) key partnerships, (2) benefits of the cooperative and (3) change and growth among the women and communities. Empowerment was felt through both economic and social impacts upon the women.

This article captures the perspective of the Chief Entrepreneur Founders and their observations and experiences the women shared with them. Emic perspectives from the women who participate in the artisan cooperatives is the focus of future research.

These social enterprises serve as exemplary models for other cooperatives to provide dignified and sustainable work to impact the lives of women serving in these communities.

This study contributes research on social entrepreneurship within artisan cooperatives. It provides a baseline for further research on the artisan sector specifically for the sustainable development goals of gender equality, decent work and economic growth.

Industry 4.0 accelerates the performance of supply chains, in particular, the reduction in supply chain cost (SCC) and improvement in supply chain flexibility (SCF). The aim of this study is to examine the role of Industry 4.0 on SCC and SCF, using network theory to explain the interrelationships.

Data were collected from 182 manufacturing firms in Turkey. The partial least square structural equation modelling (PLS-SEM) was employed in testing the research hypotheses.

The results showed that Industry 4.0 positively affects SCC; however, no direct relationship was found between Industry 4.0 and SCF. Moreover, SCC was found to have a positive impact on SCF, while SCC was found to mediate the relationship between Industry 4.0 and SCF. An additional finding was that customer integration (CI) moderates the relationship between Industry 4.0 and SCC; however, CI does not moderate the relationship between Industry 4.0 and SCF.

The research validates the role of Industry 4.0 on supply chain processes and thus provides valuable insights into supply chain practitioners and decision-makers interested in Industry 4.0 for supply chain management.

In view of the limited number of studies, this study empirically contributes to the literature on the relationships among Industry 4.0, SCC, SCF and CI.

The integration of the digital economy and the real economy has been a key focus in promoting digital economic development. It denotes a comprehensive digital transformation of national economic activities regarding technological infrastructure and production modes, which is crucial for establishing a modern economic system, advancing industrial infrastructure and modernizing industrial chains.

Firstly, the study delves into the internal logic behind the emergence of the new development dynamic resulting from digital technology's evolution. Secondly, it explores the mechanism of mutual promotion and support between the new development dynamic and the digital economy based on China's shift in focus from international engagement to the domestic economy during different stages of industrialization. Subsequently, it analyzes the characteristics and critical factors of digital economy development and examines the macro-, meso- and micro-level constraints on these factors. Finally, the paper explores approaches to promoting digital economy development while constructing the new development dynamic and provides relevant policy suggestions.

The construction of the new development dynamic and the development of the digital economy are inextricably linked, and only by mutually reinforcing each other can they provide an inexhaustible impetus for China's high-quality economic development.

The new development dynamic and the digital economy development form an indivisible whole. The new development dynamic creates the necessary conditions for digital economy development and promotes the formation of digital production modes. In turn, the development of the digital economy should strive to improve the mainstay position of the domestic economy, enhance the synergy between the domestic economy and international engagement, upgrade value chains while improving the supply and the industrial chains in China and ensure a parallel increase in labor income alongside improved productivity.

This paper examines the relationship between supply chain network structures and firm financial performance and the moderating role of international relations. In this study, which is grounded in social capital theory and applies the perspective of systemic risk, the authors theorize the effects of supply chain network structures on firm performance.

The authors extracted data from two Chinese databases and constructed a supply chain network of the firms concerned based on nearly 4,300 supply chain relations between 2009 and 2018. The authors adopted the fixed effects model to investigate the relationship between supply chain network structures and firm financial performance.

The econometrics results indicate that network structures, including the degree, centrality, clustering coefficients and structural holes, are significantly related to firm financial performance. A significant and negative relationship exists between international relations and firm financial performance. The authors also find that international relations strongly weaken the relationship between supply chain network structures and firm financial performance.

This study, which collects secondary data from developing countries (e.g. China) and explores the impacts of supply chain network structures on firm stock performance, contributes to the existing literature and provides practical implications.

This study aims to offer a value chain (real options) approach for reducing uncertainty exposure by pursuing a global frictionless trade ethos almost exclusively. Jolts of significant proportion, such as the recent COVID-19 pandemic and corresponding reshoring phenomena observed in Mexico and Central America, enhance the topic’s relevance.

This conceptual study sheds light on heightened systemic uncertainty because of extreme events; proposes a mitigation protocol rooted in real options (ROs); and prescribes incentivizing regional value chains through public–private partnerships (PPPs).

This study identifies a systemic multinational enterprise (MNE) response aimed at mitigating the repercussions of the most recent jolt of significant worldwide proportions and suggests developing regional value chains through PPPs. In doing so, the authors recognize an incipient MNE trend toward nearshoring and backshoring to achieve this end. This phenomenon is relatively underdeveloped in Europe, where fewer than 4% of firms have engaged in backshoring activities, even in the three-millennia-old Basque region. In contrast, last year’s backshoring of global value chains (GVCs) in Mexico and Central America was noticeable.

This study is among the first, to the best of the authors’ knowledge, to explore the nearshoring phenomenon as a response mechanism, and it opens avenues for finding better ways to mitigate worldwide uncertainties and exposure to extreme events.

This model would benefit MNEs and governments by keeping their operations running as close to capacity as possible, even when external jolts cause a partial or total system shutdown of MNEs’ GVCs. The proposed solution, namely, PPPs, can achieve these objectives through real options.

A social benefit of the regionalization of MNEs’ GVCs would be helping to resolve societal grand challenges, including lowering their global carbon footprint and reducing poverty. This is because having a regional supply facility close to their home market would not only lead to cost reductions for MNEs but also allow them to conduct more on-site quality control checks.

The regional real options concept offers an excellent opportunity for practitioners and governments to improve MNEs’ success via the mitigation of uncertainties and, concomitantly, the lives of billions of people.

El presente estudio ofrece un enfoque de cadena de valor (opciones reales) para reducir la exposición a la incertidumbre de perseguir casi exclusivamente un ethos comercial global sin fricciones. Los eventos externos de proporciones significativas, como la reciente pandemia de COVID-19 y los correspondientes fenómenos de relocalización observados en México y América Central, aumentan la relevancia del tema.

Este estudio conceptual 1) arroja luz sobre la mayor incertidumbre sistémica debido a eventos extremos, 2) propone un protocolo de mitigación basado en opciones reales, y 3) prescribe incentivar las cadenas de valor regionales a través de asociaciones público-privadas.

Este estudio identifica una respuesta sistémica de las EMN destinada a mitigar las repercusiones de la sacudida más reciente de proporciones significativas en todo el mundo y sugiere desarrollar cadenas de valor regionales a través de asociaciones público-privadas. Al hacerlo, reconocemos una incipiente tendencia de las EMN hacia la nearshoring y la backshoring para lograr este fin. Este fenómeno está relativamente poco desarrollado en Europa, donde menos del 4% de las empresas se han dedicado a actividades de deslocalización, incluso en la región vasca de tres milenios de antigüedad. En contraste, el retroceso del año pasado de las cadenas globales de valor en México y América Central fue notable.

Nuestro estudio es uno de los primeros en explorar el fenómeno de la nearshoring como mecanismo de respuesta, y abre vías para encontrar mejores formas de mitigar las incertidumbres mundiales y la exposición a eventos extremos.

El concepto de opciones reales regionales ofrece una excelente oportunidad para que los profesionales y los gobiernos mejoren el éxito de las empresas multinacionales mediante la mitigación de las incertidumbres y, al mismo tiempo, la vida de miles de millones de personas.

O presente estudo oferece uma abordagem de cadeia de valor (opções reais) para reduzir a exposição à incerteza de buscar quase exclusivamente um ethos de negócios global sem atrito. Eventos externos de proporções significativas, como a recente pandemia de COVID-19 e os correspondentes fenômenos de realocação observados no México e na América Central, aumentam a relevância do tema.

Este estudo conceitual 1) lança luz sobre o aumento da incerteza sistêmica devido a eventos extremos, 2) propõe um protocolo de mitigação baseado em opções reais e 3) prescreve o incentivo às cadeias de valor regionais por meio de parcerias público-privadas.

Este estudo identifica uma resposta sistémica das empresas multinacionais com o objetivo de mitigar os impactos do choque mais recente de proporções significativas a nível mundial e sugere o desenvolvimento de cadeias de valor regionais através de parcerias público-privadas. Ao fazer isso, reconhecemos uma tendência emergente de multinacionais em direção ao nearshoring e backshoring para atingir esse fim. Este fenómeno está relativamente subdesenvolvido na Europa, onde menos de 4% das empresas se dedicaram a actividades de offshoring, mesmo na região basca de três milénios. Em contraste, a retração das cadeias globais de valor no México e na América Central no ano passado foi notável.

Nosso estudo é um dos primeiros a explorar o fenômeno do nearshoring como um mecanismo de resposta e abre caminhos para encontrar melhores maneiras de mitigar as incertezas globais e a exposição a eventos extremos.

O conceito de opções reais regionais oferece uma excelente oportunidade para profissionais e governos melhorarem o sucesso de empresas multinacionais, mitigando incertezas e, ao mesmo tempo, a vida de bilhões de pessoas.

Increasing industrial agriculture and economic crisis has generated creative responses in pursuit of responsible solutions to the human and environmental cost of globalization by applying these models to promote social responsibility, help sustain livelihoods and foster biodiversity. A key issue concerns how responsible and circular businesses might provide appropriate responses to large-scale “wicked” problems. This paper aims to ask what such creativity looks like in the context of a circular economy that attempts to build closed value loops, by examining a case from the organic cotton textile industry: Appachi Eco-Logic.

This study uses an ethnographic extended-case approach to identify two phases of creative growth at Appachi Eco-Logic, examining how closing the value loop and creating circularity involved broadening the circle to include more and more actors.

This study identifies two major challenges to achieving and maintaining full circularity before concluding with a broad provocation for the study of circular economies.

The case offers insight into fundamental features of circularity, regeneration and redistribution, which can be used by managers to build responsible and sustainable closed value loops.

The market's intense competition, the unpredictability of customer demands and technological advancements are compelling organizations to adopt new approaches, such as agile new product development (ANPD), which enables the introduction of new products to the market in a short span. The existing ANPD literature review articles are lacking in portraying recent developments, potential fields of adoption and the significance of ANPD in organizational development. The primary goal of this article is to investigate emerging aspects, current trends and conduct a meta-analysis using a systematic review of 177 ANPD articles published in peer-reviewed journals between 1998 and 2020.

The articles were categorized based on their year of publication, publishers, journals, authors, countries, universities, most cited articles, etc. The authors attempted to identify top journals, authors, most cited articles, enablers, barriers, performance metrics, etc. in the ANPD domain through the presented study.

The major themes of research articles, gaps and future trends are identified to assist academicians and ANPD practitioners. This study will benefit ANPD professionals by providing them with information on available literature and current ANPD trends.

Through meta-analysis, this study is one of the unique attempt to categorize ANPD articles to identify research gaps and highlight future research trends. A distinguishing feature of the presented study is the identification of active journals, publishers and authors, as well as enablers, barriers and performance metrics.