Global Strategy Research Articles

CiteSpace-based Survey of International Advances in Chinese Traditional Culture Research in 1999-2019

With the globalization strategy and the initiative “One Belt and One Road” in China, Chinese traditional culture has a great impact on the world. This study, based on CiteSpace, explores the total numbers, hotspots, characteristics and tendency of international research on Chinese traditional culture, by retrieving 866 articles from SSCI and A&HCI in the Web of Science (Core Collection). The results of the study revealed that: there is a strong increases in total output from 1999 to 2019 and the research on the theme of Chinese traditional culture has become interdisciplinary; the most productive authors aren’t the ones in the most cited documents and the journals on which the most cited documents publish aren’t the prolific journals; most of the researchers are from Hong Kong, Taiwan, mainland of China, Canada and USA. In view of the results, it is obvious that it is a good way to spread Chinese traditional culture over the world. It is strongly recommended that we should do more analysis on the international literatures with different paradigms, methods and metrics in order to get a more comprehensive and correct domain visualization map of Chinese traditional culture research.

Globalisation and competitive strategies of firms in traditional manufacturing sectors of the West Midlands

In the context of globalisation, the sustainability of traditional manufacturing sectors depends on the ability of firms to modernise and diversify. To remain competitive against emerging economies in high-volume and low-technology areas, firms must engage in high-value manufacturing. This paper uses theoretical underpinnings from strategic management and place-based approaches to provide a historical account of competitive strategies of traditional manufacturing firms in the West Midlands region of the UK between 2010 and 2012 where the automotive, ceramics, glass and clothing sectors are examined. The research methodology is based on critical realist philosophy, which emphasizes an in-depth understanding of firm behaviour and acknowledges sensitivity to differences in decision-making. The paper highlights the complexity of competitive behaviour, which is influenced by enabling and constraining factors. While the evidence presented in the paper is from 2010 to 2012, it emphasizes the need for a participatory, farsighted, and proactive policy approach to retain the historic industrial character of the region.

COVID-19 – a Five-Year Update

Background: This review aims to categorically describe novel advancements to our understanding and management of COVID-19 and associated short- and long-term sequelae such as Long COVID. Methods: Indexing services (Scopus and PubMed) were used to identify pertinent studies, prioritizing original research, meta reviews and updated institutional guidelines from 2022 onwards. Papers not published in English (or where full-text translation was not available), those skewed in terms of gender distribution of participants, conducted on non-human populations and proposal and opinion papers were excluded. For the purposes of this paper, Long COVID was taken to mean the persistence of symptoms longer than 8 weeks after an acute COVID-19 infection. After deduplication, application of the exclusion criterion and checking for relevance, 52 sources were identified for this review. The keywords used for this literature search were COVID-19, Long COVID, Chronic COVID, SARS-CoV-2. Results: New COVID-19 variants challenge vaccine efficacy, highlighting socioeconomic disparities in vaccination rates. Long COVID exhibits complex symptoms, including cognitive decline and physical health impacts. The virus’s affinity for ACE-2 receptors suggests broader health implications, including reproductive and metabolic disorders. COVID-19 can cause a drop in IQ proportional to severity of disease experienced. Conclusion: COVID-19’s multifaceted health impacts necessitate ongoing research and targeted interventions. Addressing socioeconomic disparities, updating vaccine formulations, and understanding long-term effects are crucial. Equitable healthcare policies are essential to mitigate COVID-19’s global health threat and inform future strategies.

Clarity in complexity: how aggregating explanations resolves the disagreement problem

The Rashômon Effect, applied in Explainable Machine Learning, refers to the disagreement between the explanations provided by various attribution explainers and to the dissimilarity across multiple explanations generated by a particular explainer for a single instance from the dataset (differences between feature importances and their associated signs and ranks), an undesirable outcome especially in sensitive domains such as healthcare or finance. We propose a method inspired from textual-case based reasoning for aligning explanations from various explainers in order to resolve the disagreement and dissimilarity problems. We iteratively generated a number of 100 explanations for each instance from six popular datasets, using three prevalent feature attribution explainers: LIME, Anchors and SHAP (with the variations Tree SHAP and Kernel SHAP) and consequently applied a global cluster-based aggregation strategy that quantifies alignment and reveals similarities and associations between explanations. We evaluated our method by weighting the \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\:k$$\\end{document}-NN algorithm with agreed feature overlap explanation weights and compared it to a non-weighted \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\:k$$\\end{document}-NN predictor, having as task binary classification. Also, we compared the results of the weighted \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\:k$$\\end{document}-NN algorithm using aggregated feature overlap explanation weights to the weighted \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\:k$$\\end{document}-NN algorithm using weights produced by a single explanation method (either LIME, SHAP or Anchors). Our global alignment method benefited the most from a hybridization with feature importance scores (information gain), that was essential for acquiring a more accurate estimate of disagreement, for enabling explainers to reach a consensus across multiple explanations and for supporting effective model learning through improved classification performance.

Management and organizational research in Asia Pacific: insights from a 40th anniversary review of the Asia Pacific Journal of Management

AbstractGrasping the evolving landscape of management and organizations in Asia Pacific is vital for addressing the challenges and opportunities they both face in the region and beyond. To do so, we conduct a systematic literature review using a bibliometric analysis of the Asia Pacific Journal of Management (APJM), the leading journal for management and organizational research in Asia Pacific that is celebrating its 40th anniversary. A total of 915 articles published by APJM from 2001 to 2024 were retrieved from the Scopus database and subsequently subjected to a performance analysis of productivity (publications) and impact (citations) alongside a science mapping of knowledge (themes). This study reveals a steady increase in APJM publications and citations, underscoring the journal’s growing influence. The globalization of collaboration networks is a noteworthy trend, highlighting the interconnectedness of research efforts across borders. Major themes include cultural understanding and interpersonal networks, as well as the adaptability of organizations in emerging economies. Areas such as innovation, performance, and corporate governance highlight the importance of growth, competitiveness, and responsible management structures, while research on major Asian markets like China, India, and Thailand underscores the relevance of globalization and multinational strategies. The findings offer future directions in key areas such as emerging economies and institutional environments, relationship networks and social resilience, innovation and digital transformation, managing internationalization, and methodological innovation.

Research on Global Nonsingular Fast Terminal Sliding Mode Control Strategy of Ball Screw Feed System Based on Improved Double Power Reaching Law

Research on Global Nonsingular Fast Terminal Sliding Mode Control Strategy of Ball Screw Feed System Based on Improved Double Power Reaching Law

Exploring the prevalence of chlamydial and gonorrheal infections in pregnant women: a multicenter study in Egypt

BackgroundChlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) are widespread, treatable sexually transmitted infections (STIs) of global significance, affecting millions annually. Left untreated, they pose significant risks, including pelvic inflammatory disease (PID), infertility, and complications during pregnancy. The U.S. Centers for Disease Control recommends annual chlamydial screening for sexually active women to address these risks. Responding to this global challenge, the World Health Organization (WHO) has formulated a global health sector strategy on sexually transmitted infections, outlining priority actions to strengthen STI responses in countries. However, STI epidemiological studies encounter challenges in developing nations like Egypt due to socio-cultural factors, poverty, and limited diagnostic facilities. In Egypt, STI diagnosis primarily relies on clinical presentations, lacking structured screening programs for CT and NG. This study’s main objective is to estimate the prevalence of Chlamydial and gonorrheal infections, advocating for supportive STI strategies in Egypt. Additionally, the study aims to provide a foundation for national prevalence estimates of CT and NG infections.MethodsA cross-sectional study encompassed five antenatal clinics in different regions of Egypt. A total of 1040 pregnant women attending these clinics were consecutively sampled. Data collection involved structured questionnaires, and urine samples were subjected to the GeneXpert CT/NG qualitative real-time PCR test.ResultsThe prevalence of CT infections was 0.29% (95% CI, 0.10–0.86%), with no detected NG infections. The three CT-positive cases were distributed across different recruitment centers, with no statistically significant differences observed between infected and non-infected participants. Notably, 40.3% of recruited women reported gynecological symptoms, primarily discharge. Additionally, 9.6% had undergone previous testing for sexually transmitted infections, with 8.2% receiving positive results.ConclusionsThis study provides valuable data on the prevalence of CT and NG infections among pregnant women attending ANC clinics in Egypt. The findings underscore the importance of ongoing surveillance, routine screening, and targeted interventions to ensure the reproductive health and well-being of pregnant women and their infants. Further research is warranted to explore the broader implications of STIs in different populations and to inform evidence-based guidelines for screening and management in diverse settings. Trial registration: IRB no.: 17,400,017; WHO ERC Protocol Id. A66005.

A global chromoblastomycosis strategy and development of the global chromoblastomycosis working group.

Chromoblastomycosis, an implantation mycosis, is a neglected tropical disease that causes decreased quality of life, stigma, and disability. The global burden of disease is unknown and data on disease epidemiology and outcomes are severely limited by a lack of access to needed diagnostic tools and therapeutics. The World Health Organization outlined targets for chromoblastomycosis in the Road Map for Neglected Tropical Diseases 2021-2030, but little progress has been made in initiating and implementing an effective control program globally. This lack of guiding policy and progress led to the recent formation of a Global Chromoblastomycosis Working Group which has developed a global chromoblastomycosis strategy. We describe this strategy, which outlines specific steps needed to improve technical progress, strategy and service delivery, and enablers. Clinicians, researchers, public and government officials, patients, and policy makers can align their time, expertise, and resources to improve the lives of communities affected by chromoblastomycosis through this strategy.

Analysis Of Social Media Promotion and Marketing Strategies for Disney Movies: A Case Study on Zootopia & Frozen 2

This study aims to deeply analyze the successful strategies of Disney movies in social media marketing, taking “Zootopia” and “Frozen 2” as case studies. With the expansion of the global movie market and the diversification of audience demand, animated movies are highly competitive, and Disney occupies a leading position with its strong strength and perfect network. The study first introduces the background of The Walt Disney Company, explaining the study's purpose and significance and the framework. Then it analyzes the global influence and marketing strategy of “Zootopia” respectively, including its background, the current fire situation, social media promotion techniques innovative parts, and offline promotion strategy. Then the background, audience reaction, social media promotion methods, and effects of Frozen 2 are discussed. It then compares the differences and changes in the marketing strategies of the two films, including social media strategies, offline promotion focus, cross-border cooperation methods, etc. It also discusses the evolution of marketing strategies, such as digital transformation, emphasizing user-generated content, exploring the application of new technologies, etc., as well as cross-cultural communication strategies. Finally, suggestions and expectations for movie marketing in the digital era are given, including strengthening innovation, building a social interaction ecology, pursuing content quality, and deepening cross-cultural communication strategies. The study summarizes the results, points out the limitations, and offers an outlook on future research directions, providing valuable experience and inspiration for the film industry.

Navigating Global Research Trends on Seafoods-Related Foodborne Diseases: A Decadal Bibliometric Analysis

Ensuring seafood safety has become a critical area of focus due to its strong association with foodborne diseases. Despite the critical nature of this field, an in-depth understanding of global research trends in this field remains limited. Our study conducted an extensive bibliometric analysis to track the evolution and thematic focus of research on seafood safety from 2013 to 2023. Utilizing Scopus for publication and citation data, along with VOSviewer for visualizing keyword networks, this study highlights key developments and scholarly efforts aimed at mitigating risks associated with seafoods consumption. The analysis pinpoints the United States, China, the United Kingdom, France, South Korea and Malaysia as leading contributors. Their extensive research outputs and collaborations have markedly shaped the field's evolution. The overall positive trajectory in research volume experienced a minor setback in 2022, suggesting a complex and dynamic research landscape. "Food Control" is identified as a principal journal for the dissemination of research works, anchoring a dynamic co-citation network that fosters extensive international dialogue. We categorize seven principal research clusters: epidemiology, molecular detections, microbial resistance, bacteriophage applications, toxin detection methodologies, predictive modelling and biofilm studies. These clusters encompass the scopes and the breadth of current investigations. This decade-long review highlights the necessity for cohesive global research strategies to enhance the knowledge and control of foodborne pathogens in seafoods. This strategy is critical for improving food safety measures and safeguarding public health globally.

Immunological and Pathogenic Differences of Two Experimental Bluetongue Virus Serotype Infections Evaluated in Two Disparate Host Species.

Bluetongue virus (BTV) is a prevalent midge-borne pathogen that infects ruminant species worldwide. BTV infections range from asymptomatic to lethal, with mechanisms that determine the severity of infection remaining largely undefined. Although it is relatively poorly understood, the immune response to BTV infection is thought to be critical for both the propagation of disease as well as the resolution of infection. To bridge this gap in knowledge, we infected cohorts of sheep and muntjac deer with two serotypes of BTV (BTV10 and BTV17) for longitudinal analysis (30 days). Interestingly, species-specific differences were observed. Circulating virus was detected early and remained detectable for the duration of the sheep study, while infections in muntjac showed faltering detection of BTV10 at 3 weeks post infection. The magnitude of the immune response was subdued in the muntjac when compared to the sheep cohorts, though similar responses were observed. We also assessed midge viral uptake and the ability to replicate BTV. Midges successfully fed on both species, yet those that fed on sheep resulted in more efficient BTV transmission. Our findings demonstrate that differences in BTV infections, immune responses, and vector competence across host species and serotypes will impact global BTV emergence and strategies for mitigation.

PRISTINA: GLOBAL EXPERTS DISCUSS THE IMPACT OF RUSSIAN AGGRESSION ON THE STABILITY OF EUROPE AND THE BALKANS

The report titled “Global Experts Discuss the Impact of Russian Aggression on the Stability of Europe and the Balkans” provides a comprehensive overview of discussions held during an international conference organized by the Institute for Hybrid Warfare Studies “OCTOPUS” in Pristina. The conference gathered prominent experts, diplomats, and scholars to address the wide-ranging geopolitical impacts of Russia's war in Ukraine on both Europe and the Balkans. Key speakers highlighted the evolving threats posed by Russian aggression. Glauk Konjufca underscored the dangerous parallels between Russia’s “Russian world” doctrine and Serbia’s expansionist “Serbian world” ambitions in the Balkans. Dr. Jennifer Cassidy warned of the risk of Serbian military intervention in Kosovo, echoing Russia's tactics in Ukraine. Jason Jay Smart detailed Russia’s global destabilization strategy, including its use of proxy wars and criminal alliances to divert attention from Ukraine. Discussions on hybrid warfare featured Dr. Pekka Kallioniemi, who analyzed Russia’s use of disinformation campaigns and social media manipulation to influence global public opinion and destabilize democracies. Ihor Todorov and Pandeli Majko focused on the rise of nationalism and regional instability, stressing the need for unified European and NATO responses to these growing threats. The report captures the key points of the event, emphasizing the importance of countering Russian influence and strengthening democratic institutions in Europe and the Balkans to preserve stability and security in the face of ongoing aggression.

Interoperable and scalable echosounder data processing with Echopype

Abstract Echosounders are high-frequency sonar systems used to sense fish and zooplankton underwater. Their deployment on a variety of ocean observing platforms is generating vast amounts of data at an unprecedented speed from the oceans. Efficient and integrative analysis of these data, whether across different echosounder instruments or in combination with other oceanographic datasets, is crucial for understanding marine ecosystem response to the rapidly changing climate. Here we present Echopype, an open-source Python software library designed to address this need. By standardizing data as labeled, multi-dimensional arrays encoded in the widely embraced netCDF data model following a community convention, Echopype enhances the interoperability of echosounder data, making it easier to explore and use. By leveraging scientific Python libraries optimized for distributed computing, Echopype achieves computational scalability, enabling efficient processing in both local and cloud computing environments. Echopype’s modularized package structure further provides a unified framework for expanding support for additional instrument raw data formats and incorporating new analysis functionalities. We plan to continue developing Echopype by supporting and collaborating with the echosounder user community, and envision that the growth of this package will catalyze the integration of echosounder data into broader regional and global ocean observation strategies.

A hybrid particle swarm optimisation for flexible casting job shop scheduling problem with batch processing machine

AbstractA flexible casting job shop scheduling problem (FCJSP) with batch processing machines is proposed based on the analysis of the flexible job shop scheduling problem (FJSP) and the study of the expendable casting process. Considering the makespan under the influence of the energy consumption, the authors apply the time execution window to the FCJSP model in conjunction with the characteristics of casting production. A hybrid particle swarm optimisation algorithm (HPSO) is developed to solve the FCJSP. The HPSO employs a block integration decoding rule to address scheduling integration. Particle swarm optimisation is used for global search, employing both discrete and continuous search strategies. Furthermore, the local search employs tabu search with neighbourhood operations based on knowledge‐driven techniques. Simulation experiments demonstrate the feasibility of the proposed optimisation model. In the end, the HPSO algorithm has been successfully applied to the real expendable casting scheduling. The results demonstrate that it is more efficient and robust than previously reported algorithms.

Multi-category sorting of plastic waste using Swin Transformer: A vision-based approach

Sorting out plastic waste (PW) from municipal solid waste (MSW) by material type is crucial for reutilization and pollution reduction. However, current automatic separation methods are costly and inefficient, necessitating an advanced sorting process to ensure high feedstock purity. This study introduces a Swin Transformer-based model for effectively detecting PW in real-world MSW streams, leveraging both morphological and material properties. And, a dataset comprising 3560 optical images and infrared spectra data was created to support this task. This vision-based system can localize and classify PW into five categories: polypropylene (PP), polyethylene (PE), polyethylene terephthalate (PET), polyvinyl chloride (PVC), and polystyrene (PS). Performance evaluations reveal an accuracy rate of 99.75% and a mean Average Precision (mAP50) exceeding 91%. Compared to popular convolutional neural network (CNN)-based models, this well-trained Swin Transformer-based model offers enhanced convenience and performance in five-category PW detection task, maintaining a mAP50 over 80% in the real-life deployment. The model's effectiveness is further supported by visualization of detection results on MSW streams and principal component analysis of classification scores. These results demonstrate the system's significant effectiveness in both lab-scale and real-life conditions, aligning with global regulations and strategies that promote innovative technologies for plastic recycling, thereby contributing to the development of a sustainable circular economy.

Spatiotemporal variation of polycyclic aromatic hydrocarbons in Tibetan lake sediment cores reveals the influence of forest fires

Despite declining anthropogenic emissions of polycyclic aromatic hydrocarbons (PAHs) due to global control strategies, forest fire emissions have been increasing, significantly affecting PAH dynamics in global sinks. This study investigated the spatiotemporal variations of sedimentary PAHs in three Tibetan lakes—Yiong Tso, Yamdrok Yumtso, and Urru Tso—to determine the influence of forest fires on PAH levels and historical trends. Yiong Tso Lake, located in a fire-affected watershed, exhibited the highest PAH concentrations (average of 43.4 ± 25.7 ng/g) with significant fluctuations since the 1920s, peaking in the 1960s (46.3 ng/g) and 1980s (91.3 ng/g), corresponding to periods of intense forest fires. This pattern aligned with source contribution estimates using the modified Cohen's d (mcd), indicating the dominance of forest fires as a PAH source until the 1990s. PAH concentrations decreased with increasing distance from the southeastern Tibetan Forest, as observed in Yamdrok Yumtso (average of 36.1 ± 19.9 ng/g) and Urru Tso (average of 16.4 ± 6.9 ng/g). Temporal variations in PAH concentrations and mcd values from these lakes also reflected a response to forest fires during the 1960s, suggesting a widespread influence of forest-fire-derived PAHs across the plateau. The impact of forest fires on sedimentary PAHs was expected to persist for decades, with an estimated half-life of approximately 11–12 years. These findings highlight significant emissions of PAHs from forest fires in the Tibetan Plateau, potentially transforming regional PAH dynamics and influencing global cycling.

Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network

Cyberattacks are increasingly becoming more complex, which makes intrusion detection extremely difficult. Several intrusion detection approaches have been developed in the literature and utilized to tackle computer security intrusions. Implementing machine learning and deep learning models for network intrusion detection has been a topic of active research in cybersecurity. In this study, artificial neural networks (ANNs), a type of machine learning algorithm, are employed to determine optimal network weight sets during the training phase. Conventional training algorithms, such as back-propagation, may encounter challenges in optimization due to being entrapped within local minima during the iterative optimization process; global search strategies can be slow at locating global minima, and they may suffer from a low detection rate. In the ANN training, the Artificial Bee Colony (ABC) algorithm enables the avoidance of local minimum solutions by conducting a high-performance search in the solution space but it needs some modifications. To address these challenges, this work suggests a Deep Autoencoder (DAE)-based, vectorized, and parallelized ABC algorithm for training feed-forward artificial neural networks, which is tested on the UNSW-NB15 and NF-UNSW-NB15-v2 datasets. Our experimental results demonstrate that the proposed DAE-based parallel ABC-ANN outperforms existing metaheuristics, showing notable improvements in network intrusion detection. The experimental results reveal a notable improvement in network intrusion detection through this proposed approach, exhibiting an increase in detection rate (DR) by 0.76 to 0.81 and a reduction in false alarm rate (FAR) by 0.016 to 0.005 compared to the ANN-BP algorithm on the UNSW-NB15 dataset. Furthermore, there is a reduction in FAR by 0.006 to 0.0003 compared to the ANN-BP algorithm on the NF-UNSW-NB15-v2 dataset. These findings underscore the effectiveness of our proposed approach in enhancing network security against network intrusions.

A comprehensive scoping review of global educational strategies and outcomes in aedes-borne disease control

BackgroundAedes mosquito is the primary vector of emerging or re-emerging arboviruses that threaten public health worldwide. Many efforts have been made to develop interventions to control the Aedes mosquito. This scoping review was conducted to identify the nature and scope of educational interventions to prevent and control diseases transmitted through the Aedes mosquito. The findings can be used to evaluate, compare, and develop appropriate control strategies.MethodsThe present scoping review was conducted in 2023 and used Arksey and O’Malley’s approach, which involves five key stages. To search for academic papers, PubMed, Web of Science, Scopus and ScienceDirect databases were used with a combination of keywords about Aedes mosquitoes, educational interventions, and disease prevention and control. The search was not limited by the publication date, yet only included studies published in English. Studies were included that reported the educational interventions about Aedes mosquito control at the community or organizational level. The screening of papers was done based on the PRISMA-ScR guideline. Excel 2019 was used for data analysis.ResultsInitially, 3,172 papers were extracted, and after screenings and reviews, a total number of 45 final papers were selected. The studies focused on educational interventions. Twenty interventional studies were at the organizational level and 25 at the community level. The latter was the most commonly used strategy. Interventions using educational approaches have achieved sustainable results. Out of the forty-five studies, twenty-one were assessed to have a low risk of bias.ConclusionsThe present scoping review evaluates the effectiveness of educational interventions at various community levels for controlling Aedes-borne diseases, emphasizing the need for multidisciplinary collaboration. Controlling Aedes mosquitoes using education and attracting the community’s participation is an effective approach to reduce diseases transmitted through Aedes. The development of education at different levels of the community, such as educational and occupational environments, can play a role in the effectiveness of societal education and can be more cost-effective. Maintaining the effect of this approach is challenging because it requires multi-sector and multidisciplinary team participation and active community engagement over the long term. Further research is required to explore the removal of barriers to the implementation of educational interventions and the consistency of effects.

Supply chain strategies in a global context: a customer value-based perspective

ABSTRACT Customer value is influenced by several factors, which impose major challenges to global Supply Chains (SCs) and their management. This study aims to understand how companies tackle these challenges by focusing their global SC management on major strategies and supporting practices. Based on customer value theory, and recognising major trends affecting what end consumers value, we identify four global SC strategies: customer-driven, service-driven, resource-efficient, and closed-loop. A multiple case study carried out in eleven companies in the consumer goods industry explores the practices adopted per each SC strategy in managing global sourcing, production, and distribution networks. Results show the key requirement of selecting tailored practices for SC management that align with the context and the value expected by customers. Operational SC practices entail managing collaborative actions both up and downstream and competing with other SCs and can benefit from the implementation of appropriate digital technologies for customer value creation and delivery, as well as for continuous learning about customer needs.

Ecological transformation of capitalism

The UN Conference COP 28 (2023) showed the failure of the global strategy contained in the goals of the Paris Climate Agreement. This encourages us to return to the problem of additional measures to protect natural habitats through a transition to moderate rates of economic growth, population growth and anthropogenic pressure on the environment. The article analyzes the ecological limits of growth of the world capitalist system, its economy and the global population. In order to preserve the natural habitat, capitalism inevitably faces transformation into a new post-capitalist formation capable of providing a moderate anthropogenic load on the environment accompanied by an increase in welfare and the preservation of the natural habitat for future generations. In dangerous proximity to the ecological limits of growth, it is necessary to abandon the prevailing goals of maximizing the scale of global economy and population, to reorient the population of the developing countries towards moderate fertility due to an increase in human development and quality-of-life indices, especially in the countries with low levels of above-mentioned indices accompanied by high population growth rates. A three-dimensional system of measuring economic growth is proposed. The conditions for economic growth balanced with the state of the environment are formulated.