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Purpose: This study will build an extensive assessment index system that satisfies both the practical requirements and the theoretical framework for Guangzhou's smart city development. It will also conduct a thorough assessment of the development of 11 Guangzhou districts using data from multi-source data. Design/methodology/approach: This paper summarises and compares the definitions and evaluation standards of smart cities in domestic and international studies, and constructs an index system for comprehensive evaluation of smart cities from six aspects: urban foundation, urban environment, urban transport, urban security, urban safety and urban vitality. The study makes comprehensive use of multi-source data such as text, webpage, statistics, etc., and constructs a standardised process for multi-source data. Findings: The districts of Yuexiu, Liwan, Tianhe, and Baiyun, etc., districts closer to the municipal government, have higher comprehensive evaluation of their smart cities, indicating that government assistance is crucial to the development of smart city informationisation. Districts with a high degree of smart city development will have a serious imbalance in the degree of coordination of the development of its various parts. For example, Liwan District, whose overall level of development is the third in Guangzhou, has a serious imbalance in the degree of coordination of its coupling, mainly because of the low rating of its urban environment. There is a need to focus on the coordinated development of urban infrastructure, urban environment, urban transport, urban security, urban safety and urban vitality. Research limitations/implications: There isn't one that is cohesive and thorough smart city evaluation system and method. In view of this, this paper will construct a thorough assessment index system that meets the theoretical system of Guangzhou's smart city development and the needs of real life. Based on multi-source data, it analyses the comprehensive evaluation and construction of 11 districts in Guangzhou. Practical implications: Combining the actual project with the theory makes the Guangzhou smart city project's execution more scientific, and has warning and guiding significance for the Guangzhou smart city project's execution. Originality/value: Combine the actual projects and theories to make the Guangzhou smart city project's execution more scientific. Keywords: Guangzhou smart city; Multi-level indicator system; Big data; Coupling coordination degree, Introduction City administrators are now faced with 'urban diseases' like traffic congestion, difficult living conditions, and a lack of housing due to China's economic growth and ongoing urban population expansion. [...]

Purpose: The sustainability of humanitarian logistics firms is a vital aspect of their efficacy in addressing humanitarian crises in Nigeria. This study delves into the intricate dynamics at play in ensuring the sustainability of these firms, with a particular focus on the factors affecting sustainability and the mediating role of leadership. Design/methodology/approach: The study employed quantitative research where data was collected through surveys from employees in the field. In the analysis, inferential, correctional and mediation statistical analysis was employed using spatial lease square (Smart PLS). The study reveals that effective leadership plays a pivotal role in mediating the effect of both external and internal factors, including security economics, human resource, fund and donor, collaboration and coordination socio-culture and technology gap on the sustainability of these firms. With coefficients of 0.082, -0.096, 0.031, -0.070, 0.050, 0.068, 0.341 and 0.513 with T-statistic of 2.697, 3.156, 1.245, 2.220, 2.481, 2.657, 8.207 and 9.464 with O-value of 0.007, 0.002, 0.214, 0.027, 0.013, 0.008, 0.000 and 0.000 respectively. Findings: By examining the interplay between leadership and sustainability, this research explores how leadership influences the sustainability of Nigerian humanitarian logistics firms Research limitations/implications: The limitation of the study may arise from the specificity of its focus on Nigerian humanitarian logistics firms, potentially limiting the generalizability of findings to a broader context. Additionally, the reliance on the mediation effect of leadership introduces the possibility of oversimplifying the complex interplay of the various factors influencing sustainability in this particular industry. Practical implications: These results have practical implications for organizations involved in humanitarian logistics, emphasizing the need for targeted leadership development and tailored strategies to enhance the resilience and effectiveness of their operations. Originality/value: This research offers original insights by examining the unique factors influencing the sustainability of Nigerian humanitarian logistics firms, a relatively underexplored area in logistics and supply chain literature. Its value is further enhanced by investigating the mediating role of leadership, providing a nuanced understanding of how leadership dynamics impact sustainability outcomes in this specific context. Keywords: Humanitarian Logistics, Sustainability, Leadership, Introduction In the complex landscape of humanitarian logistics, where the timely and efficient delivery of aid can mean the difference between life and death, sustainability has emerged as a critical [...]

Purpose: This paper reviews how supply chains stay resilient when facing disruptions, using the 4P framework, People, Planet, Profit, and Product. It aims to summarize existing research and offer insights into how businesses can better handle supply chain challenges in an unpredictable world. Design/methodology/approach: This study uses a qualitative approach, focusing on a thorough review of existing literature from databases like Scopus and software such as Publish or Perish. It examines how disruptions are managed within the scope of the 4P framework. Findings: The review identifies important trends in supply chain resilience and shows how the 4P framework can guide strategies for adapting to disruptions. Common themes across different definitions of resilience were found, giving a clearer picture of how businesses can stay flexible and sustainable when disruptions occur. Research limitations/implications: This review is based on the literature available at the time. Future research could dive deeper into real-world case studies and explore how these disruptions impact supply chains over the long term. Practical implications: The paper offers practical takeaways for supply chain managers looking to strengthen their systems. The focus on sustainable practices and recovery strategies, framed around the 4P model, is particularly useful for addressing future disruptions. Originality/value:This paper provides simple dimensions at Supply Chain Resilience, which is already complex, by combining a comprehensive literature review with the 4P framework. It gives useful insights for both academics and professionals on how to improve resilience strategies in today's complex environment in more approachable way. Also, emphasizing the role of Artificial Intelligence (AI), which has been widely discussed in recent research. With AI mentioned in over 1,200 studies, its relevance in strengthening supply chain strategies is undeniable. By highlighting AI alongside traditional methods like empirical research and theoretical approaches, this paper provides a meaningful contribution to both academic discussions and practical applications in the field. Keywords: Supply Chain Resilience, 4P Framework, Disruptions, Literature Review, Logistics, Introduction In the world of business supply chains are expanding to reach far and wide becoming longer more intricate and spanning across different regions. This increased complexity makes them susceptible, [...]

Purpose: This study investigates how employee behavior and logistics firm performance are affected by entrepreneurship in today's complex global business environment. Establishing a theoretical framework for comprehending this relationship and offering logistics organizations helpful advice to aim for high performance and sustainable development in a fiercely competitive market are the key objectives. Design/methodology/approach: This study develops a theoretical framework in which employee behavior serves as a mediating variable by using a literature review approach, entrepreneurship acts as an independent variable, and the performance of logistics enterprises is the dependent variable. Findings: The study found a strong correlation between entrepreneurship, employee behavior, and the success of logistics companies. Entrepreneurship which is expressed through specific organizational behavior, directly influences employee conduct, consequently impacting logistics firm performance. Furthermore, entrepreneurship, by shaping organizational culture, exerts an influence on employee behavior, ultimately contributing to significant effects on logistics firm performance. Research limitations/implications: Notwithstanding the fact that this study offers insightful information about the connection between entrepreneurship, employee behavior, and logistics firm performance, several limitations must be recognized. For example, additional empirical research is required to support the theoretical framework's stated propositions. Practical implications: The theoretical framework established in this study offers practical guidance and advice to logistics companies seeking to thrive in the highly competitive market. By fostering entrepreneurship within their organizations and understanding its impact on employee behavior, companies can enhance their overall performance and sustainability. Originality/value: This study contributes to the existing literature by comprehensively exploring the interplay between entrepreneurship, employee behavior, and logistics firm performance. Keywords: Entrepreneurship, Employee behavior, Logistics firm performance, Introduction In the current global business environment, enterprises encounter progressively complex and constantly evolving challenges. Achieving success in fiercely competitive markets demands an ongoing commitment to innovation, swift adaptability, and [...]

Purpose: Marine transportation industry accounts for 80% of China's international trade volume in China, however, as per the Review of Maritime Transport 2023 released by UNCTAD, the overall marine transportation industry in China is with low performance and competitiveness. This paper studies the impact of supply chain digital transformation of the marine transportation industry on the competitiveness these enterprises and its working mechanism through theoretical analysis and empirical research under the conditions of environmental uncertainty in order to improve the overall competitiveness of the marine transportation industry in China through supply chain digital transformation process. Design/methodology/approach: A pre-test has been conducted based on the data collected from 5 questionnaires obtained. The data have been analyzed by using SPSS in order to illustrate the relationship between variables such as digital transformation, dynamic capabilities, enterprise competitiveness, etc. Findings: The pre-test conducted unveils modifications that need to be made to the questionnaire, which will be improved per the pre-test result and utilized for formal survey and data collection in order to capture a clear picture of the correlations between different variables such as the supply chain digital transformation, enterprise competitiveness, etc. Research limitations/implications: The major limitation of the current research is the small sample size used during the pre-test may affect the authentic presentation of the relationship between supply chain digital transformation, dynamic capabilities, environmental uncertainty, enterprise competitive advantage ect. Practical implications: This research can help Chinese marine transportation enterprises improve their competitiveness by focusing on the cultivation of supply chain digital transformation as well as dynamic capabilities. Originality/value: Through literature review and empirical analysis, this research can provide the marine transportation enterprises with insights on the impact of digital transformation on competitiveness while attaching importance on supply chain dynamic capabilities and environmental uncertainties. Keywords: Competitive Advantage, Supply Chain Digital Transformation, Dynamic Capabilities, Environmental Uncertainty, Marine Transportation Enterprises, Introduction The Digital Economy represents the primary economic paradigm that succeeds agricultural and industrial economies. It constitutes a novel economic model characterized by data resources as its cornerstone, modern information [...]

Purpose: The purpose of this paper is to explore how big data can optimize the product, price, place, and promotion strategies of fresh food e-commerce (FFE) enterprises to better match consumer needs and improve customer satisfaction and enterprise competitiveness. Design/methodology/approach: Based on the relevant literature to understand the principles and functions of big data and the research results of FFE marketing strategies, analyze the characteristics of consumers purchasing fresh food and the external environment faced by FFE enterprises, and finally propose ways for FFE enterprises to apply big data in the process of developing marketing strategies. Findings: This paper identifies that big data can play an important role in developing marketing strategies for FFE and tries to propose methods for FFE companies to apply big data to develop product, price, place, and promotion strategies. Research implications: This study emphasizes the changes in consumer purchases of fresh food in the context of big data, provides insights into the impact of big data on FFE, and offers new insights into how FFE companies can utilize big data to develop 4Ps marketing strategy. Practical implications: This study provides feasible insights for FFE companies to help them improve the effectiveness of their 4Ps marketing strategy through big data, which can lead to better customer satisfaction and competitive advantage in a rapidly developing market. Originality/value: This study explores how big data can be applied to the 4Ps marketing strategy of FFE, which is a new perspective to help FFE enterprises improve their marketing effectiveness through innovative 4Ps marketing strategies. The value of this study is that it expands the traditional 4Ps marketing theory by emphasizing the role of big data in FFE marketing strategies and can provide a reference for FFE enterprises to develop marketing strategies. Keywords: Fresh food e-commerce, 4Ps marketing strategy, big data, Introduction In the era of high-speed development of information technology and the Internet, the generation and transmission speed of information is becoming more and more rapid, while the capacity of [...]

Purpose: Exploring the feasibility of adopting low-carbon cold chain logistics to reduce greenhouse gas (GHGE) emissions and promote sustainable development in the Greater Bay Area. The study presents various practical strategies, such as using energy-efficient refrigerated vehicles, optimizing logistics routes, and utilizing refrigeration equipment that saves energy. The findings demonstrate that the implementation of low-carbon cold chain logistics can significantly decrease GHGE, improve efficiency, and enhance product quality. Design/methodology/approach: A questionnaire survey method will be utilized for data collection among cold chain logistics enterprises in 11 cities in Guangdong, Hong Kong and Macao. This study will use PLE-SEM (Partial Least Squares Structural Equation Modeling) to analyze the data. Findings: Reduce reliance carbon footprints, it is crucial to prioritize initiatives that enhance energy efficiency and utilize renewable energy sources, such as technologies, emission reduction measures, and environmental implications. Integrating technological advancements, such as smart temperature control systems and big data analytics, significantly improves the efficiency and effectiveness of cold chain logistics. To reduce direct emissions and minimize environmental impacts, it is essential to implement measures that control emissions, optimize transportation routes, and adopt low-carbon fuels. Proper waste management, water conservation, and biodiversity preservation also contribute significantly to the sustainability of cold chain logistics. Research limitations/implications: Costs and technology need to be addressed. Organizations and decision-makers can make informed choices to support low-carbon and sustainable cold chain logistics systems. Practical implications: Guidance for the development of low-carbon cold chain logistics, promoting energy utilization efficiency, and reducing greenhouse gas emissions. Enhancement of the quality of cold chain logistics services, improving the storage, transportation, and sales of agricultural products. Originality/value: Provide valuable guidance for achieving sustainable CCL and emphasizes the importance of technological progress and economic benefits. Keywords: Greenhouse Gas Emissions (GHGE), low-carbon(LC), cold chain logistics(CCL), Greater Bay Area(GBA), Sustainable Development(SD), Introduction Enhancing the efficiency of low-carbon cold chain logistics (LCCCL) can have a substantial impact on energy consumption and emissions, particularly in densely populated areas such as the Greater Bay [...]

Purpose: This paper aims to investigate the role and dynamics of internal control systems in China's coal industry. The focus lies on their impact on corporate performance and how they navigate the interplay of shareholder influences, financial environments, ultimately shaping the strategies and operations within coal enterprises. Design/methodology/approach: Through a qualitative approach, the research utilizes semi-structured interviews to gain insights from senior management professionals across multiple coal enterprises in China. The study adopts Systems Theory as its primary lens, grounding its inquiry in a comprehensive understanding of the coal industry's interconnected systems. Findings: Shareholders exert a profound influence over corporate decisions, necessitating a harmonious balance with evolving market dynamics. Internal control systems emerge as pivotal, especially during financial fluctuations, to ensure stability and furnish strategic direction. The coal industry is pressed with the imperative of constant adaptation to accommodate rapid technological advancements and mounting environmental concerns. External pressures, play a significant role in shaping corporate responses, underscoring the need for agile and adaptive strategies. Research limitations/implications:This study provides insights into the role of internal control systems in China's coal industry, but it has limitations. It is primarily based on a qualitative research method conducted in selected coal enterprises in China, which may result in conclusions that are not applicable to the broader industry or different regions. Additionally, reliance on interviews could introduce subjective biases. Future research could benefit from a mixed-methods approach, integrating quantitative data to validate and enhance these findings. Practical implications: Coal enterprises can benefit from fortifying their internal control systems to navigate the complexities of the coal sector. Enhanced stakeholder engagement, reinforced agility in response to external pressures, and emphasis on strategic adaptability are vital for industry leadership and sustained excellence. Originality/value: This paper fills a notable gap in existing research by emphasizing not only the operational aspects of control systems but also their strategic and mediating value in the coal industry, providing a holistic view of the sector through the lens of Systems Theory. Keywords: shareholder influence, financial environment, external pressures, internal controls, corporate performance., Introduction China's coal industry, a crucial pillar in the nation's energy architecture, stands at a pivotal crossroads, accounting for 65% of its energy matrix (You et al.,2020). Despite contributing 3.5% [...]

Purpose: This paper primarily studies the quality of logistics services in the fresh food e-commerce sector from the perspective of customer satisfaction and develops an evaluation model for this quality. The objective of the study is to offer fresh food e-commerce businesses a model for assessing the quality of their logistics services and provide certain strategies for improving logistics service quality level. Design/methodology/approach: Based on literature review, this paper develops a logistics service quality index system specifically tailored for fresh food e-commerce companies, encompassing five key dimensions, including professionalism, freshness, immediacy, supportability, and convenience, along with 21 detailed indicators. This system is designed to be applicable for such enterprises to conduct self-assessments of their logistics service quality. Findings: Based on the established index system, the paper puts forward three strategies for improving the logistics service quality of fresh food e-commerce enterprises. Research limitations/implications: Limitations of evaluation dimension: Logistics cost is not considered in this study. Limitations of the applicable objects: The research object of this paper is only for fresh products. Practical implications: The logistics service quality evaluation index system for fresh food e-commerce enterprises serves a dual purpose: it offers a foundational metric for the evaluation and optimization of logistics service standards within these enterprises, and concurrently, it fosters an increase in the commercial revenue generated by these enterprises in the fresh food e-commerce industry. Originality/value: Previous research has seldom integrated the domains of fresh food e-commerce and logistics service quality holistically. The logistics service quality framework developed in this paper takes into account the unique attributes of perishable goods. Keywords: Logistics service quality, Fresh food e-commerce, Customer satisfaction., Introduction Fresh food e-commerce enterprises refer to businesses that operate online platforms or marketplaces dedicated to the sale and distribution of fresh food products, such as fruits, vegetables, meat, seafood, [...]

Purpose: This article discusses the influence mechanism between female leadership and innovation performance within enterprises, during which the effects of employee creativity and innovation climate have also been considered. Design/methodology/approach: This paper is based on the conceptual analysis and reviews of the relevant papers published on Web of Science and Scopus databases within latest 5 years. Findings: Female leadership positively affects innovation performance within enterprises through the mediating role of employee creativity. Innovation climate moderates the influence of female leadership on innovation performance. Research limitations/implications: It is limited to the literature published 2018 to 2023. Practical implications: It's essential for the boards to overcome gender stereotypes and give more concern about the management effectiveness of female leaders to further improve innovation performance and enhance competitiveness and sustainability of enterprises. It also helps to promote gender equality. Originality/value: It originally takes female leaders as an object of study to discuss its influence on employee creativity, innovation climate and innovation performance at the same time. Keywords: Leadership, Female, Innovation Performance, Employee Creativity, Innovation Climate, Introduction In the context of the 4th industrial revolution, with the boom of new technologies, new products and the processes, market competition is becoming exceedingly fierce, which compels the enterprises [...]

Purpose: In the rapidly developing fresh food e-commerce (FFE) market in China, it is crucial to retain customers, and customer loyalty is the foundation for the development of FFE platforms. This paper aims to explore in depth the key factors affecting customer loyalty in FFE in China. Design/methodology/approach: Based on the literature review, to understand the results of previous studies on the factors affecting customer loyalty in the field of FFE, and then explore which factors can be used as factors driving customer loyalty in FFE and which factors play a moderating role. Findings: This paper identifies perceived value, customer satisfaction, and trust as the driving factors affecting customer loyalty in FFE, with switching cost and word-of-mouth as situational factors, and proposes a basic driving model and a situational moderation model for customer loyalty in FFE. Research implications: This paper contributes to the theory of customer loyalty in the field of FFE by integrating perceived value, customer satisfaction, and trust as the driving factors into a customer loyalty model. By introducing switching cost and word-of-mouth as situational factors, the study proposes a situational moderation model. This deepens the theoretical understanding of customer loyalty in FFE. Practical implications: By clarifying the roles of perceived value, customer satisfaction, trust, switching cost, and word-of-mouth, FFE companies are able to adjust their marketing and operational strategies in a more targeted manner to improve the customer experience and retain customers more effectively. Originality/value: This study is the first of its kind to explore how multiple factors work together to influence customer loyalty in FFE in China. The value of this study is that it fills the research gap in the theoretical framework of customer loyalty in FFE in China and provides a reference for future academic research in this area. Keywords: Fresh food e-commerce, Customer loyalty, Perceived value, Customer satisfaction, Trust, Introduction With the development of the Internet, e-commerce came into being, and the development of the mobile Internet further promoted the development of e-commerce and really allowed consumers to shop [...]

Purpose: The goal of this study is to explore how supply chain management strategy impact the financial performance of SMEs, with a particular focus on the impact of organizational competence. Design/methodology/approach: With the goal to investigate that, 440 Chinese listed-SMEs that have used SCM strategies performed in an empirical survey. Findings: The study finds that the effective implementation of SCM strategies and high levels of organizational competence significantly enhance a firm's financial performance. Specifically, SCM strategies optimize resource allocation, reduce operational costs, and improve profit margins. Moreover, enhanced organizational competence strengthens competitive advantage, leading to sustained growth. The paper also emphasizes the need for managers to tailor and refine SCM strategies according to their firm's specific circumstances to maximize financial benefits. In summary, the synergy between SCM strategies and organizational competence is crucial for improving SMEs' financial performance Research Limitations/implications: The research, which concentrated on small and medium-sized businesses, has limitations linked to its territorial and specific to the industry environment, which may limit how broadly applicable its conclusions might be. The regulation suggestions' limited application to other economies and sectors might be attributed to their exclusive focus on China and their absence of a global perspective. In order to get a thorough knowledge of supply chain interactions, future research should strive for a more accurate and diversified sample while taking into account a larger overseas context. Practical implications: The analysis emphasizes how crucial it is for SMEs to make an effort on developing their supply chain competencies, with a particular emphasis on internal skills as well as external integration with suppliers and consumers. It emphasizes the value of supply chain strategies, particularly for resource-constrained enterprises, and suggests that combining with suppliers and consumers following internal integration might improve profitability. In the context of Chinese SMEs enterprises, the research offers insightful information for corporate management by highlighting the best order for integrating internal activities before encouraging outward integration, which improves performance. Originality/Value: This study offers important perspectives into the growth of medium-sized and small-sized enterprises. It also looks into how changes in supply chain management strategies affect these businesses' financial stability and makes suggestions for developing workable supply chain management plans. Keywords: SCM Strategy; SMEs; China; Organizational competence; Financial performance, Introduction In today's rapidly changing market environment, small and medium-sized enterprises (SMEs) face significant challenges in maintaining competitiveness and achieving sustainable growth (Naradda Gamage et al., 2020). As critical contributors [...]

Purpose: This paper aims to address demand uncertainty and present a conceptual model regarding the influencing factors of mass customization capabilities in small and medium-sized production companies. Design/methodology/approach: Based on previous studies, this study examines how supply chain visibility, big data analytics, and high adaptability improve small and medium-sized businesses' capacity for mass customization. Findings: This paper identifies a relationship between big data analytics, supply chain visibility, high adaptability, and mass customization capabilities. Research limitations/implications: This paper has limitations as it only presents a framework. Data validation can be conducted using surveys or other methods in future work. Practical implications: This paper provides a way to enhance the large-scale customization capabilities of small and medium-sized businesses. Originality/value: The purpose of this study is to pinpoint a measure for improving small and medium-sized businesses' capacity for mass customization. The role of big data analytics, supply chain visibility, and high adaptability in improving mass customization capabilities is also emphasized. Keywords: Big Data Analytics (BDA), Supply Chain Visibility (SCV), Supply Chain High Adaptability (SCHA), Mass Customization Capabilities (MCC), Introduction Mass customization (MC) is a commercial tactic that utilizes big data analytics (BDA) to provide tailored solutions efficiently and promptly aligning with distinct customer demands. This approach enhances supply [...]

Purpose: The research objectives of this paper are the factors leading to and outcomes of green innovation and the factors affecting the organizational performance of sustainable development in China's logistics industry. Design/method/approach: Based on literature review, this study adopted the research design of quantitative survey method. A cross-sectional design was used for one-time data collection, and different statistical tests were used for proposition. Findings: Environmental Transformational Leadership (ETL) and Green Knowledge Management (GKM) were selected as antecedents based on their impact on the environment. These two variables have a significant impact on Sustainable Organizational Performance (SOP), respectively. The inclusion of green innovation factors is because they do have a impact on SOP as consequences variables. However, in order for enterprises to maintain a green development perspective, green innovation factors need to be added in (Green Process Innovation, Green Knowledge Innovation and Green Management Innovation) which can drive enterprises to continuously update green environment measures. Research limitations/implications: Academic research on the logistics industry has always been active, but existing research has certain deficiencies in depth and breadth. This article mainly discusses the causes and consequences of green innovation, both of which are deepening and enriching the research on sustainable organizational performance related to it, making up for the shortcomings of current research, and have important theoretical reference significance. Practical implications: Current research on green innovation in the logistics company has problems that are difficult to implement in practice, which has a negative impact on sustainable organizational performance. In response to this problem, we proposed methods for implementing green innovation and the antecedents that affect green innovation, which can effectively improve the negative impact of the inability to implement sustainable organizational performance caused by green innovation. Originality/value: This paper presents a novel mode relationship framework for the sustainable development factors of the logistics industry. Keywords: Green Innovation, Green Logistics, Sustainable Organizational Performance, Sustainable Development of Enterprises, Introduction Sustainability is becoming a priority for the corporate world due to the significant changes brought about by the COVID-19 (Alraja et al., 2022). Sustainability and sustainable development have been [...]

Purpose: The investigation of the innovation performance (IP) of small and medium enterprises (SMEs) is of paramount importance for the sustainable development of the entire social economy. This paper seeks to elucidate the internal mechanism through which financial constraints (FC) impact the IP of SMEs, with a particular focus on supply chain finance (SCF) and the associated influencing factors by proposing a thorough conceptual framework. Design/methodology/approach: Via the process of the literature review and subsequent analysis, relevant content on the key terms of IP, SCF, FC, long tail theory (LTT) and social network theory (SNT) is explored. By evaluating the current research in the Web of Science, Google Scholar and authoritative websites, the relationships between crucial concepts are elucidated and a research framework is constructed. Findings: This study results that the advancement of SCF is shaped by a multitude of factors, including the structure of the supply chain network, the extent of digitization, the level of trust and the practice of information sharing. The IP of SMEs may be enhanced by the implementation of SCF, and the presence of FC, as a moderating variable, serves to moderate the relationship between the aforementioned variables. Research limitations/implications: The study exclusively employed a literature review method and the region is limited in China, the possible absence of empirical evidence may hinder a thorough comprehension of the relationship mechanism. Nevertheless, this research framework offers guidance and fresh theoretical angles for future empirical investigations and riches the literature of the relevant areas. Practical implications: The paper offers a theoretical reference on the IP and SCF of SMEs for the policymakers and firms who are interested in this topic, enabling a greater comprehension and resolution to the challenges encountered in this arena while promoting related practices across all sectors of society. Originality/value: This article uses LTT and SNT to analyze the moderating effect of FC, the relationship between the IP of SMEs and SCF and the related factors, which is unique and offers a helpful resource for future research in related fields, both theoretically and practically. Keywords: Innovation performance, Supply chain finance, Financial constraints, SCF factors, Long tail theory, Social network theory, Introduction SMEs have always been regarded as the new force of global economic growth and innovation (Allocca & Kessler, 2006; Kolsi & Al-Hiyari, 2022). They are essential to a vast [...]

Purpose: The purpose of this article is to explore the complex role of women directors in corporate green governance and their impact on environmental performance. It examines the extent to which board gender diversity, especially the presence and attributes of women directors, influences corporate environmental responsibility. The article reviews inconsistent findings in existing literature, suggesting that the impact of women directors cannot be fully understood by simply counting the number or proportion of women on boards. Instead, it argues that factors like individual power, collective influence, and structural empowerment are essential for women to make a substantive impact on corporate environmental strategies. Ultimately, the article highlights the need for a collective voice and empowerment among women directors to address structural barriers and effectively contribute to corporate green governance. Design/methodology/approach: The study examines a group of Chinese listed companies that made their social responsibility reports available on the Cninfo official website from 2019 to 2022, serving as the foundation for the initial sample pool. After excluding ST (special treatment) companies and companies with missing information, 2022 sample observations are finally obtained. All the data comes from public sources, including the social responsibility reports, financial reports, company websites, and CSMAR database. Findings: The findings of the study demonstrate a significant correlation between corporate governance, organizational climate, and sustainable development. Women directors not only impact corporate decision-making as individuals but also as a collective entity. Corporate managers must acknowledge the significance of women directors as a group in advancing corporate environmental responsibility and implement measures to ensure their voices and perspectives are duly considered. Research limitations/implications: The influence and collective power of female directors may manifest in different ways in different cultural and industry contexts. Consequently, although this study offers insights into the influence of women directors' collective power on corporate environmental performance, it is not without limitations. Primarily, the study's sample scope is constrained to listed companies in China, which may not fully reflect the nuances of different cultural and legal contexts. Secondly, the study does not account for the potential impact of industry characteristics on the findings. Future research could expand the sample scope, consider industry differences, and further investigate the multidimensional impact of board gender diversity. Practical implications: This study examines the mechanisms through which the presence of women on boards of directors affects environmental performance, which is conducive to understanding the ' board composition--firm outcome ' relationship, and has positive significance for the improvement of corporate environmental performance. This study provides a new perspective for understanding the role of gender diversity in corporate governance and provides empirical support for corporate practices that promote gender equality and sustainable development. Originality/value: Prior research often explored the effects of board gender diversity by looking at the number or proportion of women directors and has yielded mixed results. This study introduces the idea that the collective influence of women directors--when they are seen and operate as a unified, empowered group--can create a more significant, measurable impact on corporate environmental performance. By analyzing this collective power, highlight an aspect of board dynamics that may be more instrumental than individual representation alone in influencing corporate strategies on sustainability. Keywords: Women directors, Collective power, Corporate environmental performance, Fairness climate, Openness climate, Introduction The increasing attention has been paid to how companies can contribute to environmental protection. Among the factors identified, women directors ' role in corporate green governance attracts researchers' attention [...]

Purpose: This paper seeks to elucidate the current status of innovation ecosystem research in China and abroad, explore research hotspots and their dynamics, conduct a comparative analysis, and pinpoint issues and deficiencies. The ultimate goal is to provide a reference foundation for future research on innovation ecosystems. Design/Methodology/Approach: Leveraging a literature review, this paper utilized CiteSpace version 6.1 R3 for quantitative analysis and comparison of keyword sharing and hot word clustering. The data pool consisted of 833 papers from the CSSCI database and 511 papers from the Web of Science core collection. These datasets were employed to construct a knowledge map of collaborative innovation ecosystem research in China and abroad. Findings: This study highlights the growing interest in innovation ecosystems research, noting a substantial discrepancy in cooperation levels between foreign and Chinese research institutions. The United States emerges as the leader in both quantity and influence in innovation ecosystems research. However, there is a notable lack of awareness and collaboration among Chinese scholars and institutions in this field. Urgent attention is needed to strengthen academic exchanges and cooperation. Research limitations/implications: Data selection bias, limited comprehensiveness, and selection bias in studies can distort understanding of innovation ecosystems. Visualization tools, though intuitive, may not capture the complexity fully. Practical implications: This research has practical implications for government policymakers, aiding in the formulation of innovation policies. It also opens doors for international collaboration and guides businesses in adjusting their innovation strategies globally. On a theoretical level, it contributes to the development of innovation ecosystem theory and introduces literature visualization methods using the CiteSpace tool. Originality/value: Few scholars have explored the disparities between domestic and foreign innovation ecosystem research, lacking systematic comparative analyses. Notably, the reliance on subjective interpretation rather than scientifically measured tools is prevalent. This study advocates for a more objective approach, employing quantitative research from a knowledge map perspective to accurately depict innovation ecosystem research trends and hotspots. Key words : Innovation ecosystem, Knowledge mapping, CiteSpace, Introduction Considering the rapid advancement of innovation networks, China's innovation paradigm has transitioned from innovation system 2.0 to innovation ecosystem 3.0, China's prospective global innovation leadership relies significantly on the [...]

Purpose: This article investigates whether marketing promotion is essential in sales. How much impact does marketing have on sales? How to make marketing promotion bigger, stronger, and better? Design/Methodology/Approach: Through market monitoring and sample data collection, calculate and analyse several typical cases to understand the conversion rate between marketing promotion and sales and propose that market derivation can promote the formation and development of the market while reducing operating costs. Findings: Market research shows that companies generally have the problem of cost exceeding budget. To control costs, some companies have reduced some of the costs that should have been spent, resulting in low marketing efforts and poor marketing effectiveness. The product profit did not achieve the expected effect. If additional promotion costs are incurred, exceeding the budget can easily lead to a breakdown of the funding chain, which is not conducive to the survival and development of the enterprise. The investigation found that marketing promotion's cost-to-profit ratio is low, and the effect is insignificant. So researchers must actively improve the marketing and promotion capabilities and achieve cost reduction and efficiency increase. Research limitations/Implications: The limitation of this study is how to effectively convert the cost of marketing promotion into sales revenue after obtaining business operation data; How to use market observation to judge, analyse, and grasp the subjective initiative of the market, thereby forming market reasoning power, maximising marketing and promotion capabilities, and gaining favour from the capital? Practical Implications: This study helps to achieve cost reduction and efficiency increase for enterprises, increase the effective cost of marketing and promotion, contribute to the formation of the market, deeply reflect on market trends and consumer needs, assist enterprises in product design and promotion, and achieve product profits; Helping consumers choose products that are suitable for them in the market; It helps to form an efficient and healthy operating mechanism in the trading market. Originality/Value: The observation and calculation of the conversion rate between marketing promotion costs and sales revenue proposed in this article can help enterprises reduce unnecessary expenses and optimise cost structure. This article proposes a non-responsive thinking approach that can run through the entire supply and demand relationship, including product design, marketing methods, promotion ideas, and market planning, to optimise cost empowerment further. Keywords: Supply and Demand Relationship, Market, No Demand, Marketing, Sales Cost, Introduction By analysing the relationship between market, consumption, and enterprise, it is understood that consumption and enterprise are the two ends of the supply and demand relationship. The market provides [...]

Purpose: Given the widespread use of artificial intelligence (Abbreviation: AI) in a variety of industries and the significant impact it is having, the chief aim of this paper is to examine exactly how AI assists factory operations as well as to explore the impact of AI on factory operations, with a focus on the negative impacts. Design/methodology/approach: Based on the literature review, the method used in this paper is known as bibliometric method. This is done by setting keywords, finding and screening thesis literature that meets the requirements in the world-renowned WOS(Web of Science) database, adopting bibliometric methods, analysing the relevant literature using tools such as the VOSviewer 1.6.19 software, and finally carrying out a comprehensive review to achieve the purpose of the study. Findings: Based on the analysis, this paper shows the basic situation of artificial intelligence, which has been applied to all aspects of factory operations and has had a great impact on factory operations, the positive impact is obvious, but the negative impact should not be ignored. Research limitations/implications: Artificial Intelligence as an emerging product, the existing research data on AI applications is not rich enough to have the biggest support on the existing research. In addition, this paper is limited to examining general issues, which can be empirically investigated in the future. Practical implications: The research in this paper is centered on the application of AI in factories, which is a good guide for factory operations. Originality/value: Few scholars have specialized in how AI can help factory operations, and systematic exploration of the negative impacts of AI on factory operations is rare. Keywords: Artificial Intelligence (AI), Factory operation, Negative impact, Process Automation, Machine learning, Introduction Factories are an important part of the supply chain, and the performance of factory operations is directly related to the competitive advantage of the supply chain. In recent years, [...]

Purpose: This study integrates existing theories of Tourist Perceived Value (TPV) to review, analyze, and summarize the research progress, key issues, and focal areas of TPV from an academic literature perspective. It also aims to identify future development trends, providing references for related research and innovative design. Design/methodology/approach: Starting from the definition and classification of TPV, this study examines the evolution of TPV. Using relevant literature as the basic data, bibliometric methods are employed for publication volume analysis, keyword burst analysis, and co-citation analysis. Based on this, the future development trends of TPV are proposed. Findings: The study reviews nearly 30 years of TPV, recognizing the increasing emphasis on tourist perceived value from both industry and research perspectives. Publication volume statistics indicate a significant increase in academic literature related to TPV in the past decade. Keyword burst and co-citation analyses reveal that TPV research increasingly relies on the integration of new theories and technologies, with value service being a current research hotspot. Research limitations/implications: There is a necessity to develop specific case studies on tourist perceived value. Practical implications: Explores the development trends of TPV. Originality/value: Provides a reference for future innovative research on TPV. Keywords: Tourist Perceived Value, Citepace, Bibliometric Analysis, Introduction Tourist Perceived Value (TPV) constitutes a crucial concept within tourism research, being closely intertwined with visitor satisfaction, loyalty, and the competitive strength of travel destinations. The significance of TPV [...]

Purpose: The purpose of this study is to delve into the potentials of Blockchain-based Supply Chain Traceability Systems, Smart Mine Technologies, and Circular Economy Models in enhancing environmental awareness and practices, refining internal management systems, and advancing sustainable development in coal enterprises. Design/methodology/approach: A theoretical framework is crafted utilizing the Resource-Based Theory, Eco-Modernization Theory, and Circular Economy principles. A comprehensive literature review and theoretical extrapolation are utilized to form a series of hypotheses regarding the interrelations among the key variables. Findings: The conceptual examination suggests that the adoption of Blockchain and smart technologies can notably improve real-time monitoring, data analytics, and waste recycling processes, contributing to elevated operational efficiency, environmental protection, and sustainable development in coal enterprises. Research limitations/implications: The primary limitation resides in the conceptual nature of the study, which lacks empirical validation. Future studies should employ empirical methodologies to validate the proposed relationships and investigate the long-term impact of the identified variables on sustainability outcomes. Practical implications: The study underscores the role of technological innovations and circular economy methods in reducing environmental impacts and enhancing sustainability in the coal industry, offering key insights for industry policymakers and practitioners. Originality/value: This research expands the discourse on sustainable development in coal enterprises by incorporating blockchain, smart mining, and circular economy concepts, presenting a novel framework to understand sustainability promotion through technological and organizational innovations in resource-intensive industries. Keywords: Smart Mining Technologies, Internal control, Sustainable development, Introduction The coal industry stands as a critical sector, particularly in energy-driven economies. However, its operations are traditionally associated with significant environmental challenges, primarily due to the greenhouse gas emissions [...]

Purpose: This research examines if financial flexibility may aid Chinese manufacturing firms in implementing strategic shifts. It further probes how an uncertain environment can affect financial flexibility's association with strategic transformation. Methodology: Based on the literature review, this research examines the inter-association between environmental uncertainty, financial flexibility, and strategic change using an empirical investigation of data gathered from listed manufacturing companies in China between 2010 and 2021. Findings: The study shows that financial flexibility positively influences strategic change. The higher the environmental uncertainty, the more manufacturing companies make strategic changes. Positively moderating the financial flexibility's association with and strategic transformation is environmental uncertainty. Research limitations: Further investigations are necessary to explore factors influencing strategic change in firms. This should include a broader industry context, refined control variables, targeted research methodology, and in-depth heterogeneity studies. Practical implications: Understanding how financial flexibility and environmental uncertainty influence strategic change is vital for Chinese-listed manufacturing companies. This knowledge enhances their ability to operate effectively in a complex business landscape, make well-informed strategic decisions, and maintain long-term competitiveness and sustainability. Additionally, it offers valuable insights for executives, investors, and policymakers to grasp the intricacies of strategic shifts in the manufacturing industry. Value: The findings enrich research on strategic change in business and expand the application of resource-based theory. The paper points out that financial flexibility facilitates firms to make strategic changes and provides a reference for manufacturing companies to improve their resource allocation. Keywords: Financial flexibility, Strategic change, Environmental uncertainty, Introduction In recent years, driven by the continuous development and widespread application of information technology, China's manufacturing sector has become highly competitive, prompting numerous companies to pursue transformative changes. The [...]

Purpose: This paper delves into the concept of AI tourism, examining its foundational principles and essential practices within the industry. Design/methodology/approach: Based on the literature review, the tourism industry acknowledges the increasing interest in AI tourism from both industry and research viewpoints. AI tourism encompasses activities and services utilizing AI technologies in tourism. Therefore, achieving success in developing and promoting tourism destinations hinges on adhering to AI technology standards and principles across all facets of tourism operations. Findings: This paper defines AI tourism as encompassing any mode of tourism or activity integrated within the tourism sector, viewed through the lenses of technological advancement and tourism industry evolution. AI tourism facilitates automated execution of services and tasks within practical applications, minimizing the need for human intervention. Research limitations/implications: Development of specific AI service applications or destinations requires a phased approach. Initially, qualitative research will be conducted to establish foundational insights, followed by quantitative research aimed at formulating criteria for rating AI destinations and classifying and evaluating AI services. Practical implications: In the travel industry, collaboration between experts and AI systems is envisioned. Here, AI is conceptualized as a suite of technologies poised to enrich the travel experience and optimize outcomes for all involved stakeholders. Originality/value: The paper offers global exemplars of best practices while also addressing the future trajectory and evolution of AI in tourism practices. Keywords: Artificial intelligence, Service robots, AI tourism, AI services., Introduction As we embark on the fourth industrial revolution, the tourism sector stands poised at a crossroads, facing both opportunities and challenges amidst a wave of technological advancements. Robotics, artificial [...]

Purpose: To improve the operation of these systems, the SDA can serve as a valuable tool for examining the behavior and interactions within them. This study employs the system dynamics method to investigate how the effectiveness of low-carbon cold chain logistics in the Greater Bay Area's system is impacted by various technologies. Specifically, we examine the influence of LOT technology, large-scale data analysis, optimization of CC network layout, and green supply chain management (GSCM)on the efficiency of LCCCL. Design/methodology/approach: To streamline and reduce redundancy, here's a concise version of the previous text:The research framework based on System Dynamics identifies core variables (carbon emissions, logistics costs, cold chain efficiency), defines system boundaries (Greater Bay Area's cold chain logistics), outlines system structure (supply chain interactions), and establishes feedback mechanisms.Using Vensim or Stella, a dynamic simulation model is built for low-carbon cold chain logistics, encompassing procurement, processing, storage, transportation, and distribution, while considering factors like emissions, costs, time, and quality.Data is gathered from surveys, interviews, literature, and statistics, then cleaned, organized, and analyzed to inform model construction and parameter setting.Model validation and calibration ensure accuracy using historical data or expert opinions. A case study in a representative cold chain logistics enterprise validates optimization strategies through model simulations and data analysis. Findings: Through an analysis of the positive relationship between the extent of LOT technology and big data analytics application and the efficiency of LCCCL, the adoption of these technologies has a favorable impact on the system's efficiency and carbon emissions. Research limitations/implications: The focus is limited to the cold chain logistics industry, excluding other sectors that also contribute to carbon emissions within the GBA. The theoretical model serves as the basis of this study, but it may not fully capture the complexities of the actual situation in the region. Practical implications: Provision of scientific basis for evaluating and optimizing low-carbon cold chain logistics in the Greater Bay Area. Originality/value: This dissertation stands out by applying System Dynamics to analyze the intricate interactions within the low-carbon cold chain logistics system in the Greater Bay Area. It uniquely blends environmental and economic objectives, offering insights into trade-offs between carbon reduction and operational efficiency. By focusing on the specific context of the Greater Bay Area and leveraging empirical data, the study provides tailored recommendations for the region. Its multidimensional evaluation framework considers carbon emissions, costs, time, and quality, enabling a nuanced understanding of system efficiency.The research offers a robust methodology to evaluate and optimize low-carbon cold chain logistics, guiding sustainable decision-making for policymakers, logistics managers, and stakeholders. In summary, it contributes original insights and practical value to the field. Keywords: Efficiency, low-carbon, cold chain logistics, Greater Bay Area, system dynamics approach, Introduction LCCCL plays a crucial role in addressing global climate change and escalating energy consumption, thereby contributing to the reduction of greenhouse gas emissions(GGE) and attainment of sustainable development(SD). In [...]

Purpose: The study aims to delve into the specific mechanisms through which the development of the circulation industry in provincial capital cities influences and promotes economic growth in surrounding non-capital cities under the framework of the strong provincial capital strategy. By conducting empirical analysis, this research aims to uncover the spillover effects of circulation industry development and its heterogeneous characteristics under different geographical, spatial, and economic conditions, providing empirical evidence for understanding the interactive relationships between regional economies. Design/methodology/approach: This study employs the method of constructing an empirical analysis model, integrating multidimensional perspectives such as geographical zoning, spatial distance, and economic characteristics, to systematically examine the spillover effects of circulation industry development. By collecting and processing data on economic growth and circulation industry development in provincial capital cities and their surrounding non-capital cities, econometric tools are utilized to conduct regression analysis. Additionally, robustness checks and endogeneity treatments are employed to ensure the reliability and accuracy of the study's conclusions. Findings: The vigorous development of the circulation industry in provincial capital cities has a significant and positive spillover effect on economic growth in surrounding non-capital cities, and this conclusion remains stable under multi-dimensional tests. Furthermore, it reveals the heterogeneous manifestations of the spillover effect under different geographical, spatial, and economic conditions. Notably, the study finds that the correction of capital misallocation plays a crucial role in this process, providing a new perspective for understanding the internal mechanisms of how the circulation industry promotes economic growth. Research limitations: Despite the efforts made in data collection and analysis, this study still has certain limitations. Firstly, the comprehensiveness, timeliness, and accuracy of the data may be affected by differences in regional and industry statistical standards, limiting the precision of the study's conclusions. Secondly, the sample selection may not fully represent the actual situation in all regions, resulting in limited universality of the study's conclusions. These limitations suggest that future research needs to further expand data sources and improve data quality to enhance the broad applicability of the study's conclusions. Practical implications: This study has practical significance for understanding the mechanisms of regional economic interaction and formulating relevant policies. The research conclusions indicate that optimizing the layout of the circulation industry in provincial capital cities can effectively promote efficient resource allocation, drive economic development in surrounding areas, and achieve balanced and sustainable regional economic growth. This finding provides vital reference for policymakers, facilitating the formulation of more precise and effective regional economic development strategies. Additionally, it contributes to expanding the job market and enhancing overall social welfare levels. Originality/value: This study enriches the theoretical framework of regional economic interaction and growth spillover, offering new research perspectives and empirical evidence to the academic community. At the practical level, the research conclusions provide valuable reference information for policymakers, guiding the formulation and implementation of regional economic development plans. Furthermore, this study emphasizes the crucial role of capital misallocation correction in the process of the circulation industry promoting economic growth, offering new insights and directions for research in related fields. Keywords: Provincial Capital city, Circulation Industry, Economic Growth, Spillover Effect, Introduction Due to China's economy's rapid expansion and the country's expanding urbanization, the problem of uneven regional economic development--particularly the disparities in economic growth between cities at different economic levels--has [...]

Purpose: The aim of this research is to examine the influence of human capital management strategies on the operational effectiveness of third-party logistics firms. Design/methodology/approach: This study will use quantitative research methods, and an empirical analysis will be conducted on the relationship between the variables by means of literature review, questionnaire and statistical analysis of data. Findings: The findings of this study will provide insights into the effectiveness of human capital management practices in improving the performance of third-party logistics companies. The results may contribute to the development of effective human capital management strategies for third-party logistics companies. Research limitations/implications: The findings of this study can inform third-party logistics companies about the importance of investing in effective human capital management practices. By focusing on recruitment and selection, training and development, management participation, and performance evaluation, companies can improve their overall performance. Furthermore, understanding the moderating role of competitive strategy can help companies tailor their human capital management practices to align with their specific competitive goals. Practical implications: It provides practical insights for practitioners in the field of both human resource management and logistics. Originality/value: This study comes up with a new model, aiming to examine human capital management practices, organizational climate, competitive strategy and employee competencies and their interactions on organizational performance in China third party logistics company. Keywords: HCM practices, employee competencies, organizational climate, competitive strategies, 3PL company performance, Introduction Integrated logistics and globalization have led to significant changes in the way businesses operate globally. Logistics plays a crucial role in this transformation by affecting the efficiency and overall [...]

Purpose: This paper delves into the multifaceted impact of digital technology on the competitive landscape of contemporary businesses. It unveils the intricate interplay between innovation, information, and strategic advantage, dissecting the ways in which organizations harness the power of technology not only to survive but thrive in an increasingly globalized and hyper-connected world. Design/methodology/approach: Based on literature review, this paper starts with the importance of digital supply chain management, gradually discusses the role of digital supply chain in organizations, and delves into the impact of digital technology progress on the competitiveness and competitive advantage of various types of enterprise organizations. Finally, conclusions are drawn. Findings: This paper collectively provide a comprehensive overview of how digital technology and digital transformation impact competitiveness at various levels, from supply chains and national economies to specific industries and SMEs. This paper also highlights this relationship's multifaceted and dynamic nature, emphasizing the critical role of digital advancements in driving competitiveness in the modern business landscape. Research limitations/implications: This paper has two key limitations. First, its findings may be limited by a narrow geographic and industrial focus, which reduces its broader applicability. Second, the research is heavily reliant on literature review, potentially lacking originality and empirical depth, and may not adequately address the impact of cultural differences or organizational readiness for digital transformation. Practical implications: This paper's theoretical strengths lie in its integration of frameworks and deep dive into competitive advantage theory, offering a comprehensive analysis of digital supply chain's influence on business success. It highlights the importance of leveraging unique capabilities, mediating risks through digital innovation, and ensuring organizational readiness for sustainable advantage. The emphasis on dynamic capabilities underscores adaptability's role in navigating the digital landscape. The study also discusses strategic implications of digital supply chain applications and identifies future research gaps, enriching our understanding of how digitalization drives competitive edge. Originality/value: The significance of this paper is reflected in two aspects: firstly, it provides new ideas for various types of enterprises to enhance their competitive advantages in the digital economy wave, laying the foundation for manufacturing enterprises that are preparing or about to prepare for the digital transformation of the supply chain; Secondly, we need to help various types of enterprises focus on cultivating their digital supply chain capabilities, emphasizing the key relationship between digital technology and competitive advantages in the supply chain management process. Keywords: Supply Chain Management, Digital Supply Chain, Competitive Advantage, Introduction In the dynamic landscape of the 21st century, the relentless march of technology has revolutionized every facet of human existence. From how we communicate and conduct business to how [...]

Purpose: This paper attempts to study the influence of GVC participation on low-carbon economic transformation in China and Latin American from the perspective of innovation ecosystems. Through a new LCIE evaluation system, to accurately estimate the role of GVC participation in the low-carbon economic transformation of developing countries such as China and Latin America. Furthermore, put the LCIE, GVC, and CEI in a single research framework, evaluating the effect of the LCIE on the process of low-carbon transformation in China and Latin America, and enriching academic results in the field of carbon emission reduction. Design/methodology/approach: Based on literature review, this paper develops a LCIE evaluation index system, the coefficient of variation method is used to evaluate the capacity of the LCIE in China and Latin America. Furthermore, to explore the relationship between GVC participation and CEI, and the moderating effect of LCIE between GVC participation and CEI, finally, to explore the direct impact of LCIE on CEI by regression analysis, what's more, this paper conducts a robustness analysis. Findings: this paper identify: 1) The LCIE in China and Latin America is increasing. 2) GVC participation has a 'U-shaped' effect on CEI. With the improvement of GVC participation, especially the improvement of forward GVC participation, it has a positive effect on the improvement of the host country's industrial system. However, when GVC participation reaches a certain level, especially when the backward GVC participation is too high, it has a negative effect on reducing CEI. 3) The LCIE plays a moderating role in the relationship between GVC participation and CEI. The development and application of low-carbon technology are important measures to reduce CEI. LCIE can help host countries further reduce CEI after GVC participation reaches a turning point. 4) From the perspective of the influence mechanism of the LCIE, Innovation and Industry have a significant impact, Intermediary, Infrastructure, and Environment is not significant, but the direction of their influence on CEI is consistent with expectations. Research limitations/implications: 1) In the evaluation system of LCIE, there is no unified method. Therefore, this paper draws on other scholars' methods to calculate the index of LCIE, which possibility of missing indicators. 2) In the mechanism testing, Intermediary, Infrastructure, and Environment factors are not significant, which need to further analysis by more data samples. 3) In estimating the moderating role of the LCIE, the moderating model uses cross-term, which cannot specifically quantify the moderating effect. Practical implications: 1) To advance the research and application of low-carbon technologies while enhancing the country's LCIE construction. 2) To actively participate in GVC, especially to improve forward GVC participation, which can achieve industrial energy structure upgrading, increasing the added value of domestic products. 3) To improve the government guidance, research investment, industry structure, infrastructure construction, and ecological environment protection. Originality/value: 1) Novelty a new LCIE evaluation system, providing empirical reference for others similar research. 2) Novelty a new research framework that put the LCIE, GVC, and carbon emission intensity in a single research framework, evaluating the effect of the LCIE on the process of low-carbon transformation in China and Latin America, and enriching academic results in the field of carbon emission reduction. Key words: LCIE, global value chain, carbon neutrality, carbon emission intensity, Introduction Aiming for carbon neutrality by 2050, which the United Nations Climate Change Conference of 2021 made a proposal, countries created strategies plans for carbon neutrality (Perwez et al., 2023). [...]

Purpose: This article uses the case of Guangzhou Smart City to discover the notable factors that need to be taken into account during the construction and development of a smart city. Design/methodology/approach: Based on literature analysis, a table of important factors for the general composition of smart cities was derived. A questionnaire survey was used to obtain the opinions of government personnel. DEMATEL method was used to analyse the causal relationship between the main factors and items to get the significant factors of smart city. Findings: This study identifies smart transport, information infrastructure, 5G internet stations, artificial intelligence in automation, big data management and internet of things for industrial development as innovative and modern technological elements that influence the expansion of funds and the greatest efforts to develop smart cities. Research limitations/implications: This is mainly an analysis of the current smart city planning programme in Guangzhou, the project has not been completed in real time to verify the correctness of the study with facts. Practical implications: It serves as a warning and guidance for the implementation of smart city projects in Guangzhou. Originality/value: Combine the actual projects and theories to make the implementation of Guangzhou smart city projects more scientific. Keywords: Guangzhou Smart City, DEMATEL, Intelligent Transport, Information Infrastructure, 5G Network Sites, Artificial Intelligence, Big Data Management, Introduction The development of smart cities is a multifaceted endeavour that requires balancing technological innovation with practical implementation. This study of Guangzhou Smart City highlights both the challenges and opportunities [...]

Purpose: Currently, challenges such as a volatile external environment, resource scarcity, and globalization have driven the process of digitalization in the manufacturing industry. This paper aims to explore the literature related to supply chain digitalization and supply chain performance in manufacturing and build a research framework. Design/methodology/approach: This paper investigates and consolidates the relevant literature that has been published in the Scopus and Web of Science databases within the last five years, utilizing keyword searches. Findings: This paper proposes that research on supply chain digitalization in the context of manufacturing manifests itself in four different forms, such as Industry 4.0, digital technology, digital transformation, and digital supply chain, and uses this as the basis for constructing a research framework map to further assess the status and future paths of research on supply chain digitalization on supply chain performance. Research limitations/implications: This paper provides a systematic research framework and future research directions for current and future researchers interested in advancing supply chain digitalization and supply chain research. Practical implications: This paper can be used as a guide for supply chain managers to increase awareness, understanding and acceptance of the potential benefits and impacts of digitalization among supply chain members. Originality/value: This paper provides a theoretical foundation and inspiration for future research on supply chain digitalization and performance. Keywords: Supply Chain Digitalization, Supply Chain Performance, Digital Transformation, Industry 4.0, Manufacturing Industry, Introduction Digitalization is becoming the new 'must' for manufacturing in the global digital economy (Chiarini et al., 2020). It can make manufacturing processes more effective and efficient, increase productivity and [...]