Industrial Transformation Research Articles

IN TERMS OF ORGANIZATIONAL BEHAVIOR A BIBLIOMETRIC RESEARCH OF LEADERSHIP 4.0 WHICH IS A REFLECTION OF INDUSTRY 4.0

The Industry 4.0 revolution refers to the digital transformation of industry. The significance of the Industry 4.0 revolution is further enhanced by the advent of new technologies concomitant with this revolution. The technologies of Industry 4.0 include artificial intelligence, the Internet of Things, big data, and cloud computing. Organizations that adopt these technologies can adapt to the Industry 4.0 revolution and gain a competitive advantage. By means of Industry 4.0 technologies, it is possible to save resources used in production and to produce products with better quality and different features. Organizations that fail to leverage these technologies will be unable to reap the benefits of the Industry 4.0 revolution, potentially leading to a disadvantage in the competitive landscape. It is therefore crucial for organizations to adopt Industry 4.0 technologies. It is imperative that employees possess the requisite knowledge, skills, and abilities to utilize Industry 4.0 technologies. Those in leadership positions are able to exert influence and direct the knowledge, skills, and abilities of employees. Consequently, the pivotal factor in the implementation of Industry 4.0 technologies within an organizational context is leadership. The concept of Leadership 4.0 posits that leaders possess distinctive advanced knowledge, skills, and abilities that enable them to influence employees and facilitate the utilization of industry 4.0 technologies within the organization. Leadership 4.0 serves as an indispensable conduit for the transfer of industry 4.0 technologies within organizational settings. Leadership 4.0 plays a pivotal role in preparing organizations for the advent of industry 4.0. Consequently, the successful integration and utilization of industry 4.0 technologies within organizations hinges upon the effectiveness of Leadership 4.0. This study aims to elucidate the impact of Leadership 4.0 on employee outcomes. In accordance with the objective, a bibliometric analysis of the studies on Leadership 4.0 in the Web of Science (WOS) database was conducted using the VOSviewer program.

Tourist attraction reviews based on deep learning Sentiment Analysis System

In recent years, with the rapid development of information technology, online travel reviews have become a key source of information for tourists to understand destinations. In the face of massive and unstructured travel review data, this paper innovatively proposes a sentiment analysis system for tourist attraction reviews based on deep learning. The system cleverly uses the BERT pre-trained model, and combines Bi-LSTM and attention mechanism to significantly improve the accuracy of sentiment classification. In order to verify its effectiveness, this paper conducts experiments on the evaluation data of scenic spots in Hubei Province. The experimental results are very impressive through multi-dimensional indicators such as accuracy, precision, recall, and F1-score. The accuracy rate is as high as 93.5%, the accuracy rate is 94.1% for positive reviews, the accuracy rate for negative reviews is 92.8%, the recall rate is 92.1%, and the F1-score is 92.8%. This fully shows that the system can accurately identify the emotional tendency of tourist attraction reviews, provide a strong basis for scenic spot management, help it adjust service strategies in a timely manner, and also assist tourists to make more informed decisions, providing a reliable technical reference for the digital transformation and intelligent management of the tourism industry.

A privacy-preserving Self-Supervised Learning-based intrusion detection system for 5G-V2X networks

In light of the ongoing transformation in the automotive industry, driven by the adoption of 5G and the proliferation of connected vehicles, network security has emerged as a critical concern. This is particularly true for the implementation of cutting-edge 5G services such as Network Slicing (NS), Software Defined Networking (SDN), and Multi-access Edge Computing (MEC). As these advanced services become more prevalent, they introduce new vulnerabilities that can be exploited by cyber attackers. Consequently, Network Intrusion Detection Systems (NIDSs) are pivotal in safeguarding vehicular networks against cyber threats. Still, their efficacy hinges on extensive data, which often contains sensitive and confidential information such as vehicle positions and owner’s behaviors, raising privacy concerns. To address this issue, we propose a Privacy-Preserving Self-Supervised Learning (SSL) based Intrusion Detection System for 5G-V2X networks. The majority of works in the literature relying on Federated Learning (FL) and often overlook data labeling on the end devices. Our methodology leverages SSL to pre-train NIDSs using unlabeled data. Post-training is then performed with a minimal amount of labeled data, which can be carefully crafted by an expert. This novel technique allows the training of NIDSs with huge datasets without compromising privacy, consequently enhancing the efficacy of cyber-attack protection. Our innovative SSL pre-training methodology has yielded remarkable results, demonstrating a substantial improvement of up to 9% in accuracy across a diverse range of training dataset sizes, including scenarios with as few as 200 data samples. Our approach highlights the potential to enhance automotive network security significantly, showcasing groundbreaking achievements that set a new standard in the field of automotive cybersecurity.

Research on High-Quality Development Strategies for the Homestay Industry from the Perspective of Value Chain

This study uses value chain analysis to examine the basic and supporting activities in the homestay industry, explore the challenges present in the value chain activities, and offer recommendations. The study points out that homestay businesses should focus on core competencies and implement a series of measures to achieve value creation and cost control. Additionally, optimizing the policy environment and applying sustainable development are crucial for the transformation and upgrading of the homestay industry. The results provide practical guidance for the industry to achieve sustainable development in an increasingly competitive market.

The impact of public fiscal expenditure on industrial transformation and upgrading: An inverted U-shape evidence from China

High-quality economic development relies on industrial transformation and upgrading. To promote industrial transformation and upgrading, efficient fiscal expenditures are undoubtedly important as pillars of national governance. However, in the context of the market economy, the government's excessive intervention in industrial development will lead to the "promotion tournament" of officials and the "beggar-thy-neighbor" local protectionism, resulting in the convergence of regional industrial structure, which will bring uncertain impact on the upgrading of regional industrial structure. Thus, this study empirically assesses how public fiscal expenditure impacts industrial transformation and upgrading as well as the mechanism by developing a spatial econometric model using the panel data of 250 Chinese cities from 2007 to 2020 and further discusses the differential impact from the perspective of urban scale. The findings disclose that public fiscal expenditure serves a crucial role in facilitating industrial transformation and upgrading, but their relationship resembles an inverted U. Therefore, an optimal scale of public fiscal expenditure exists. Heterogeneity findings reveal that the promoting effect of public fiscal expenditure on industrial transformation and upgrading decreases with the expansion of the city scale. The role mechanism implies that public fiscal expenditure indirectly leverages industrial transformation and upgrading through promoting technological innovation, reducing resource dependence, and expanding scale economies. The conclusion provides a theoretical and practical framework for the government to optimize public fiscal expenditure, promote the transformation and upgrading of China's industrial structure, and ultimately attain high-quality development.

The Relationship between Information Technology and the Modernization of the National Governance System

Currently, a new wave of technological revolution and industrial transformation is emerging. New-generation information and communication technologies, such as big data and artificial intelligence, evolve rapidly and profoundly impact economic and social development. They provide strong momentum for the modernization of national governance systems and capabilities. As an emerging governance resource, big data holds vast potential for promoting the modernization of national governance systems. It can enhance the decision-making level of governance, awareness of data openness and sharing, capabilities in public service, and risk management. Artificial intelligence presents opportunities for building a modern national governance system, facilitating precision, intelligence, and efficiency. National governance should seize the development opportunities of information technology, increasing its contribution to building a modern governance system.

Climate governance and industrial ecological transformation

Climate governance and industrial ecological transformation

Research on the Mechanism and Realization Path of Digital Technology Enabling High-quality Integration between Urban and Rural Areas

Urban and rural integration is the only way to solve the main social contradictions and achieve high-quality economic development. The booming digital technology, as the core of new quality productivity, provides new momentum for urban and rural integration. This paper takes the equalization of urban and rural basic services as a proxy variable for high-quality urban-rural integration, and empirically examines the enabling effect of digital technology on high-quality urban-rural integration based on the data of 282 prefecture-level cities nationwide from 2011 to 2021. The research shows that digital technology can effectively enable high-quality urban-rural integration; The development of digital technology promotes the high-quality integration of urban and rural areas by promoting industrial transformation and upgrading.

An evolutionary game analysis of the prefabricated building supply side under dynamic government reward and punishment mechanisms

From the standpoint of the supply side of prefabricated buildings, an evolutionary game model between the government and developers is constructed under the static and dynamic reward and punishment mechanisms in order to promote the development of prefabricated buildings and realize the transformation and upgrading of the construction industry. The simulation study of the example is conducted, and the impact of policy cost, subsidy upper limit, and tax upper limit on the system’s evolutionary stability strategy is examined. The findings demonstrate that when the government chooses static subsidy and static tax policies, there is no evolutionary stable strategy in the game system. The flaws of the static reward and punishment system can be adequately compensated for by the dynamic subsidy and dynamic tax policy, leading to an evolutionary stable state. The likelihood of developers producing prefabricated structures is negatively connected with policy cost and subsidy upper limits and favorably correlated with tax upper limits, according to the dynamic reward and punishment mechanism. The findings of the study have significant implications for government policy that will encourage the widespread use of prefabricated structures in China.

Digital Blueprint for Excellence: PT. XYZ's Strategic IT Transformation in the Oil Industry

Digital Blueprint for Excellence: PT. XYZ's Strategic IT Transformation in the Oil Industry

The Impact of ESG Rating Events on Corporate Green Technology Innovation under Sustainable Development: Perspectives Based on Informal Environmental Regulation of Social Systems

Corporate green technology innovation is an important driver to promote the green transformation of the manufacturing industry 4.0 and an important engine to achieve China’s carbon peak, carbon neutrality, and high-quality economic development. Based on the theory of informal environmental regulation of social systems, this study empirically analyzes the impact of ESG rating events on corporate green technology innovation by constructing a multi-period DID model using panel data of Chinese listed companies from 2010 to 2022 as the research sample. The findings suggest that ESG rating events and ESG scores can stimulate corporate green technology innovation. ESG rating uncertainty can inhibit corporate green technology innovation. The mediation effect analysis shows that ESG rating events can stimulate firms’ green technology innovation by reducing financing constraints, increasing the degree of corporate internal control, and increasing R&D investment. In addition, heterogeneity analyses indicate that ESG rating events have a better stimulating effect on the quantity of innovation of non-state-owned enterprises than state-owned enterprises, while the stimulating effect on the quality of innovation of non-state-owned enterprises is inferior to that of state-owned enterprises. Moreover, the innovation stimulation effect of ESG rating events shows a trend of east-high and west-low in geographical distribution. Therefore, the government should accelerate the construction of the ESG rating system, promote the degree of convergence with international standards, and improve the level of enterprises’ utilization of digital technology while paying attention to informal environmental regulation.

Impact of Policy Intensity on Carbon Emission Reductions: Based on the Perspective of China’s Low-Carbon Policy

Economic development often results in significant greenhouse gas emissions, contributing to global climate change, which demands immediate attention. Despite implementing various low-carbon policies to promote sustainable economic and environmental progress, current evaluations reveal limitations and deficiencies. Therefore, this study utilizes a dataset detailing policy intensity at a prefecture-level city in China to investigate the impacts of these policies on carbon emission reduction from 2007 to 2022 in 334 prefecture-level cities, employing a fixed-effects model. Additionally, it assesses the policies’ efficacy. The findings indicate a significant negative correlation between China’s low-carbon policies and carbon emissions, supported robustly by multiple tests. Specifically, a one-unit increase in China’s policy intensity correlates with a 0.53-unit reduction in carbon emissions. Furthermore, the heterogeneity analysis shows that variations in urban agglomerations, environmental resource endowments, pollution levels, and low-carbon policy intensities influence the effectiveness of these policies in reducing carbon emissions. This analysis underscores that policy intensity achieves emission reductions through technological innovation, industrial transformation, welfare crowding out, and pollution transfer, with varying impacts across different environmental contexts, pollution levels, and policy intensities. Based on this analysis, we recommend several policies: formulating low-carbon strategies tailored to local conditions, enhancing regional low-carbon policies, establishing cross-regional coordination mechanisms, and so on. These recommendations not only offer valuable policy insights for China but also serve as useful references for the green and sustainable development of other developing countries.

Evolving Trends in Smart Building Research: A Scientometric Analysis

Background: Smart building, as an emerging building concept, has been a key driving force for the transformation and upgrading of the building industry; Methods: To better understand the latest research progress and trends in the field of smart building, this study uses CiteSpace 6.2.R4 bibliometric software to visualize, analyze, and interpret the literature related to the field of “Smart Building” in the WoS database from 2014 to 2023; Results: As a cross-sectoral and multidisciplinary field, smart building has received significant attention in recent years, with a rapid growth in the number of publications. International cooperation is strong, with China, the United States, and South Korea leading in the number of publications, but there is still room for enhanced collaboration among institutions. Keyword analysis shows that technology and humanized design are both crucial, and emerging technology has become the current research hotspot. Conclusions: The field of smart building has gained global attention, and more breakthroughs will be made in improving building efficiency, reducing energy consumption, and enhancing the user experience. This development is moving towards a smarter and more sustainable direction that will bring greater benefits to human life and the environment.

Prospective Analysis and Innovative Path Research on Silver Sports Economy in the Context of Aging Society

This study focuses on the prospects and innovative pathways for the development of the silver-haired sports economy in the context of an ageing society. The proportion of the global population over 65 years old is expected to increase from 9% in 2019 to 16% in 2050, highlighting the huge potential of the silver-hair economy. This paper adopts a mixed research methodology, combining spatial econometric modelling and rootedness theory, to explore in depth the current development status, trend forecasts and innovation paths of the silver-haired sports economy. The study constructs a silver-hair sports economy assessment system containing 22 indicators, and uses panel data to analyse the development level of 31 provinces, municipalities and autonomous regions in China from 2010 to 2023, and the results show that the average annual growth rate of silver-hair sports economy reaches 15.7%, but the gap between Beijing, Tianjin, Shanghai and Guangdong and the central and western regions reaches 1.8 times. Analyses based on the Spatial Durbin Model show that every 1 percentage point increase in silver-haired sports consumption can drive 0.3 percentage points of GDP growth in neighbouring regions. Through a Delphi method research of 150 industry experts, it is predicted that the size of China's silver-haired sports market will exceed RMB 3 trillion in 2030, increasing its share of GDP to 2%. The qualitative study reveals three innovative paths: intelligent transformation, ecosystem construction, and cross-border integration, and proposes specific strategies such as "integration of sports and medicine" and "social platform for silver sports". The results of the study provide data support and theoretical basis for the formulation of policies for the development of the silver sports economy, and provide important insights into the industrial transformation of an aging society.

Addressing Rural Decline: China’s Practices in Rural Transformation and Farmers’ Income Growth

In the context of global rural decline, fostering endogenous momentum through rural transformation to increase farmers’ incomes is a challenge that nations worldwide must address. This study utilizes the 2022 “China Rural Micro-Economic Data” to construct a multidimensional rural transformation index system at the village level, encompassing demographic, land, industrial, social, digital, and ecological transformations. This study evaluates the levels of rural transformation across 15 surveyed provinces in China. Furthermore, it empirically examines the impact of rural transformation on farmers’ incomes, the underlying mechanisms, and the heterogeneity of different transformation models. The findings are as follows: (1) Coastal economically developed regions exhibit higher levels of rural transformation, while inland agricultural provinces show significant lag; (2) Rural transformation effectively promotes the upgrading of agricultural value chains, increases farmers’ market participation, and enhances their access to financial services, thereby boosting farmers’ incomes; and (3) The impact of different transformation models on farmers’ incomes varies significantly; industrial, social, and demographic transformations contribute most prominently to income growth. While digital transformation shows some positive effects, it remains relatively limited. Land and ecological transformations have yet to demonstrate a significant positive impact on farmers’ incomes.

Solid-State Fermentation Engineering of Traditional Chinese Fermented Food.

Solid-state fermentation (SSF) system involves solid, liquid, and gas phases, characterized by complex mass and heat transfer mechanisms and microbial complex interactions. The SSF processes for traditional Chinese fermented foods, such as vinegar, soy sauce, and baijiu primarily rely on experience, and most of the operations are replaced by auto machine now. However, there is still a lack of engineering in-depth study of the microbial process of SSF for complete process control. To meet the demands of smart manufacturing and green production, this paper emphasizes the engineering analysis of the mechanisms behind SSF. It reviews the progress in the engineering aspects of Chinese traditional SSF, including raw material pretreatment, process parameter detection, mathematical model construction, and equipment innovation. Additionally, it summarizes the challenges faced during intelligent upgrades and the opportunities brought by scientific and technological advancements, proposing future development directions. This review provides an overview of the SSF engineering aspects, offering a reference for the intelligent transformation and sustainable development of the Chinese traditional SSF food industry.

Research on the impact of digital economy on my country's manufacturing upgrading

With the profound changes in the global industrial economic situation and the further adjustment of the industrial competition pattern, the stability and security of my country's industrial chain and supply chain are facing major risks. In this context, promoting the digital transformation of the manufacturing industry has become the only way for the transformation and upgrading of the manufacturing industry. This paper first analyzes the mechanism of my country's digital economy driving the upgrading of the manufacturing industry, and examines it from the perspective of the spatial layout of the industrial chain, aiming to enrich the theoretical basis of the digital economy driving the development of the real economy, and provide useful countermeasures for my country's manufacturing industry to achieve upgrading under the drive of the digital economy. It has important theoretical and practical significance. This paper starts with "digital economy drives the spatial layout reconstruction of the manufacturing industry chain" and takes "realizing the upgrading of the manufacturing industry" as the ultimate goal. The reasonable spatial layout of the manufacturing industry chain and the upgrading of the manufacturing industry are two important aspects of the high-quality development of my country's manufacturing industry. The reasonable spatial layout of the manufacturing industry chain can promote the rational allocation of factor resources, narrow the regional gap, and realize the upgrading of my country's manufacturing industry more efficiently and comprehensively. Therefore, this paper studies the reconstruction of the spatial layout of the manufacturing industry chain driven by the digital economy, which can not only enhance the resilience of my country's manufacturing industry chain and supply chain, but also provide a path for the upgrading of the manufacturing industry. The two complement each other. Through systematic analysis and verification, this study reveals the role of the digital economy in promoting the reconstruction of the spatial layout of the manufacturing industry chain, and thus provides theoretical support and policy recommendations for achieving high-quality development of the manufacturing industry.

Research on Disruptive Technology and Future Manufacturing Developments

Industrial transformations, that are triggered by disruptive technologies, have the property of persisting over time. They may represent new ways to do existing activities, or they may represent genuinely new activities. In order to occupy a dominant position in future developments, many different countries, around the world, are actively embracing disruptive technologies. This is manifested by the pre-emptive incubation of new industries. The present paper is based upon an extensive literature search. It is argued that disruptive technologies, in particular, those that are associated with synthetic biology, aerospace manufacturing, and zero-carbon manufacturing, have been selected from a strategic perspective. Through a combination of qualitative descriptions and case studies, the significance and importance of the roles played by biomanufacturing, aerospace manufacturing and green/low-carbon manufacturing, in modern life, are elaborated upon. This allows the case to be made about the three modes of manufacturing that are noted above, that they are subverting traditional manufacturing. Indeed, they are gradually (and sometimes quickly) becoming new manufacturing models. In addition, we note that manufacturing based on new energy sources, intelligent (i.e., robotic) manufacturing and virtual (i.e., data based) manufacturing, (delete the space) are also likely to become highly important topics, and they will be worthy of attention in future considerations.

The Emergence and Transformation of the Lithium-ion Battery Industry in Shenzhen

This paper has charted the dynamic evolution of Shenzhen's lithium-ion battery (LiB) industry through four distinctive stages, thereby elucidating the complex interplay between industrial growth, policy interventions, and technological advancements. The framework illustrated not only the vital role of resource pool at each stage of the LiB industry's evolution but also underscored how shifts in industry trends reciprocally influenced the structure of resource pool. In the first stage, the nascent LiB in Shenzhen was driven by local companies, operating on a traditional manufacturing model based on public knowledge. It benefited from the urban development advantages of Shenzhen, including its strategic location, industrial structure, and supportive government policies, setting the stage for subsequent evolution. The second stage marked the formation of a comprehensive industry chain, encompassing both upstream and downstream sectors, driven by the increasing demand for LiBs and the proliferation of consumer electronics manufacturing in Shenzhen. The expansion was not just in capacity but also in the scope, fostering a more interconnected and resilient industry ecosystem. The third stage witnessed a strategic shift from low value-added consumer electronic batteries to high value-added power batteries, propelled by national policy guidance and increased R&D investments. This shift was crucial in transitioning from conventional consumer electronics batteries to more sophisticated and lucrative energy solutions for automotive and industrial uses. The current stage, the fourth, is characterized by continuous innovation, talent development, and an emphasis on synergistic innovation between universities and enterprises. The establishment of intermediary organizations helped to promote the integration of resources and standardized division of labour within the innovation ecosystem. Throughout these stages, Shenzhen's LiB industry has navigated through varying challenges and opportunities, demonstrating remarkable adaptability and resilience. The LiB industry has continually responded to changes in the resource pool, adjusting interaction mechanisms to catalyse growth and innovation. Meanwhile, transformations in the industry have informed resource pool establishments, creating a dynamic feedback loop.

Is the relationship between green credit and industrial green transformation “empowering” or “detrimental”?

Is the relationship between green credit and industrial green transformation “empowering” or “detrimental”?