Manufacturing Enterprises Research Articles

The Impact of AI on the Development of Manufacturing, Logistics, and Financial Company from Capital Market Perspectives

Abstract: This paper explores the impact of AI technology on enterprises, especially in finance and capital markets. With the rapid development of AI technology, enterprises hope to improve productivity, financial management, and market competitiveness through AI, and ultimately achieve sustainable development. The article aims to analyze the application cases of AI in head enterprises and their effects and put forward corresponding suggestions and insights. By analyzing case studies of enterprises such as Tesla, Amazon and JP Morgan, it elaborates on the application of AI in various areas such as enterprise manufacturing, supply chain management, automated trading, risk management and customer service. It reveals the great potential of AI in improving enterprise operational efficiency, reducing costs and optimizing decision-making. By analyzing the above cases, it is suggested that enterprises should strengthen data privacy and security management and improve technology transparency and interpretability when introducing AI technology. The study reveals that AI technology has potential but also faces challenges, and enterprises need to keep overcoming obstacles to achieve the wide application and deep integration of AI technology.

The motivating effect of positive social emotions on digital transformation of manufacturing enterprises–evidence from financial news and public opinion

ABSTRACT This paper investigates the impact of digital transformation on positive social emotions within manufacturing enterprises and examines the moderating effects of management tone and marketing capabilities on this relationship. This research uses a panel fixed-effect regression model to empirically examine the impact of positive social emotions on the digital transformation of manufacturing enterprises from 2016 to 2020 based on panel data of Chinese A-share listed companies in Shanghai and Shenzhen. The results indicate that social positive emotions significantly contribute to the digital transformation of manufacturing enterprises. The effect of social positive emotions on the digital transformation of manufacturing enterprises is strongly heterogeneous in terms of differences in enterprise attributes and geographical differences. Further analysis reveals that marketing capability and corporate executive tone, directly or indirectly, both have a considerable positive moderating effect on the aforementioned mechanism. In contrast, innovation capability has little moderating influence. In order to better regulate external positive social emotions to promote digital transformation, manufacturing enterprises need to emphasise management tone and enhance their marketing capabilities. These might facilitate companies in utilising additional social resources, strengthen internal strategic digital transformation decisions, and advance the development of digital transformation in China's manufacturing sector.

Does China’s innovation-driven policy affect enterprises’ import performance of intermediate goods?

Based on a theoretical analysis of the impact of the innovative city pilot policy on manufacturing enterprises’ import behavior of intermediate goods, this paper performs a quasi-natural experiment via a multi-period differences-in-differences (DID) model with China’s innovative city pilot policy as the object. This study systematically evaluates the impact of the innovative city pilot policy on importing intermediate goods by local manufacturing enterprises. The empirical results show that implementing the innovative city pilot policy significantly increases the quantity, variety and quality of intermediate goods imported by local manufacturing enterprises. These conclusions remain valid even after a series of robustness tests. Impact mechanism tests indicate that obtaining government subsidies, alleviating financing constraints and reducing institutional transaction costs are three important channels through which the innovative city pilot policy promotes the import of intermediate goods by manufacturing enterprises. Furthermore, additional research reveals that the impact of the innovative city pilot policy on intermediate goods imports exhibits significant heterogeneity in enterprise size, age, ownership and trade mode. This study’s findings provide a new perspective for evaluating and exploring the performance of the innovative city policy and China’s foreign trade transformation and upgrading.

The effects of digital economy on manufacturing resource allocation efficiency across Chinese cities: a spatial economic perspective

ABSTRACT The development of digital economy provides significant impacts on spatial distribution of industries. Using microdata from Chinese manufacturing enterprises and adopting a spatial economic perspective, this study reveals that the digital economy exerts non-linear impacts on resource allocation. As the level of urban digital economy improves, the efficiency of manufacturing resource allocation shows an inverted U-shaped trend, and high hierarchy cities exhibit higher critical values. The study finds a positive spatial correlation in manufacturing resource allocation efficiency across cities; however, the growth of digital economy in neighbouring cities may lead to backwash effects and impede local improvements in allocation efficiency. The mechanism analysis indicates that the digital economy primarily affects spatial resource allocation through urban agglomeration economies and diseconomies. Consequently, economic agents and policy makers in cities should consider the dual effects of ‘location optimization’ and ‘transforming the economy from substantial to fictitious’ during digital transformation processes to select optimal development paths and improve allocation efficiency.

The Impact of Enterprise Digital Capability on Supply Chain Digitalization—From the Perspective of Supply Chain Cooperation

This paper explores in depth the mechanism of enterprise digital capability effects in supply chain digital development by reconstructing the supply chain cooperation capabilities (digital diffusion capability and digital collaborative capability). We use the questionnaire data covering 272 Chinese manufacturing enterprises and apply a structural equation model to test the hypothesis. The empirical result demonstrates that enterprise digital capability does not directly have a significant impact on supply chain digitalization, and the supply chain cooperation capabilities play a mediating role between an enterprise’s digital capability and supply chain digitalization. The results are robust as we thoroughly consider the direction of enterprise capabilities and verify the systematic requirements of supply chain digitalization and the high order of enterprise digital capability. These provide a theoretical basis for enterprises to promote the digital transformation of their supply chain through digital technology.

Does enterprise digital transformation contribute to green innovation? Micro-level evidence from China

The synergy of digitalization and greening has emerged as a prominent means to achieve the goal of “carbon peaking and carbon neutrality”. Given its significant contribution to carbon emissions, the impact of digital transformation on green innovation in manufacturing enterprises remains a longstanding research hotspot. Therefore, based on the data from China A-share listed manufacturing companies spanning from 2007 to 2022, this paper empirically analyzes the influence and mechanism of digital transformation on green innovation. Our findings reveal that digital transformation can significantly promote green innovation in manufacturing enterprises, with a particularly pronounced effect on substantive green innovation. These conclusions withstand rigorous robustness tests. Mechanism analysis shows that digital transformation can facilitate green innovation by improving internal control quality and fostering industry-university-research cooperation. Moreover, our moderation analysis reveals that both equity incentives and compensation incentives strengthen the positive relationship between digital transformation and green innovation in manufacturing enterprises. Heterogeneity analysis proves that digital transformation exerts a more pronounced impact on green innovation of state-owned manufacturing enterprises, non-heavily polluted manufacturing enterprises, and enterprises located in regions with strong intellectual property protection. Furthermore, the transformation of digital underlying technologies is more conducive to fostering green innovation compared to practical application transformation. Subsequent investigation into the economic and social effects of green innovation indicates that it effectively reduces pollution emissions from manufacturing enterprises without compromising their development. Additionally, the emission reduction and income-generating effect resulting from digital transformation primarily manifest through substantive green innovation. This research expands upon the theory regarding the impact of digital transformation on green innovation in micro-manufacturing enterprises, providing empirical support for facilitating low-carbon transformations among manufacturing enterprises under the goal of “carbon peaking and carbon neutrality”.

A Q-learning-based multi-population algorithm for multi-objective distributed heterogeneous assembly no-idle flowshop scheduling with batch delivery

Distributed heterogeneous factory environments have become the mainstream in real-world manufacturing enterprises. Scheduling the assembly no-idle flowshops in such distributed heterogeneous environments is significant for practitioners. This problem takes into account the heterogeneity between different factories and the batch delivery process. To minimize inventory and tardiness costs of this new problem, a novel Q-learning-based multi-population multi-objective evolutionary algorithm is proposed. The algorithm incorporates five problem-specific properties to design the solution representation and calculate objectives. To obtain high-quality initial dual populations, a collaborative initialization technique combining four NEH heuristics and a completely random approach is proposed. To enhance algorithm’s search efficiency, a Q-learning-based selection method is developed to coordinate four job-related and four product-related operators. The dual-cooperation strategy is introduced to improve the global search capability. Experimental results demonstrate the effectiveness of all the designed components, indicating that the proposed algorithm outperforms five existing algorithms. It is well-suited for addressing real-world distributed heterogeneous scheduling scenarios by the proposed algorithm.

Does Government Environmental Concern Affect Enterprise Sustainable Development? Evidence from China

As the executor and agent of China’s environmental policy, local governments’ environmental concern reflects local governments’ determination in environmental governance. To figure out how the strengthening environmental concerns affect enterprises’ long-term activities, this study focuses on pharmaceutical manufacturing enterprises due to the enormous and complex composition of emissions. We apply bag of words to summarize relevant environmental words from the annual work reports in local governments to measure environmental concern. The empirical results of the OLS method reveal that the increasing environmental concerns of local governments did decrease the growth rate of chemical oxygen demand (COD) emission authentically. At the same time, it will inhibit the research and experimental development (R&D) activity intensity, but promote production efficiency of pharmaceutical manufacturing enterprises. After that, we discuss the heterogeneity of enterprise ownership, corporate social responsibility and regional regulatory strength of enterprises. Overall, we conclude that environmental concern did reduce COD emission and promote production efficiency, but it also has negative spillover effects. The novel contribution of this paper is that it enriches the trade-off between strengthening environmental compliance costs and long-term production and innovation activities. These results indicate that pharmaceutical manufacturing enterprises prioritize optimizing existing production processes instead of adopting efficient technology when complying with stricter environmental regulation. The reduction of R&D activities may pose risks to the long-term sustainable development of enterprises.

Money In The Eyes Of Sufism: Insights From An Indonesian Tariqat

Money has historically been used as a means of oppression, personal gain, and manipulation in politics, law, and justice, often contributing to societal discord. This article examines the concept of money and its societal perceptions through the lens of Prof. Dr. H. Kadirun Yahya, a prominent Indonesian Sufi and Mursyid of the Tariqah Naqshbandiyah, known for his success in managing a wide range of business ventures. Utilizing qualitative research methods, including interviews, observation, and documentation, the study investigates Yahya's numerous business initiatives aimed at fostering prosperity. These initiatives span diverse sectors such as agribusiness, including large-scale plantations (oil palm, apple, orange, and other crops), livestock farming (poultry, fish, ducks, goats, and cows), and enterprises in furniture manufacturing, workshops, drinking water factories, electronics, travel services, and more. The findings highlight Yahya's belief that money serves as a manifestation of divine light, a tool for attaining blessings and life's necessities. While money lacks inherent value, it remains essential for human existence. His view, consistent with other Sufi teachings, likes money to a mirror that reflects various possibilities based on its use. Grounded in Sufi principles that emphasize unity, illumination, and divine manifestation, Yahya argues that money should be employed to combat injustice, dishonesty, and exploitation. Its ultimate purpose is to uphold morality, promote social justice, equitable wealth distribution, and meet basic human needs. This research underscores the importance of further studies on integrating Sufi values into business management.

Effects of intelligent manufacturing on the high-quality development of manufacturing industry: The mediating role of green technology innovation

Based on the perspective of green technology innovation, this paper takes listed companies in China’s manufacturing industry from 2012 to 2022 as the research sample, and adopts the Driscoll-Kraay standard error method to explore the relationship between intelligent manufacturing and the high-quality development of the manufacturing industry. The results show that intelligent manufacturing can promote high-quality development of manufacturing industry Green technology innovation plays an mediating role in the above relationship. The above findings still hold after considering robustness tests and endogeneity treatments. Heterogeneity analysis indicates the application of intelligent manufacturing in state-owned enterprises, CEO separately enterprises and heavily polluting industries has a stronger role in promoting the development of manufacturing industry. This paper complements the existing research results on intelligent manufacturing and also establishes a realistic path for the high-quality development of China’s manufacturing industry.

Research on the Development Status, Influencing Factors, and Countermeasures of Digital Transformation of China’s Manufacturing Enterprises

The manufacturing enterprises’ digital transformation is a complex and long-term process that requires the joint efforts of the government, enterprises, and society. By strengthening digital technology capacity building, promoting business model innovation, optimizing supply chain management, strengthening data sharing and circulation, strengthening policy support, and promoting industry-university-research cooperation, manufacturing enterprises can effectively adapt to the opportunities and challenges of the digital economy era and attain sustainable growth. This paper seeks to investigate the development status, key influencing factors, and corresponding countermeasures of manufacturing enterprise’s digital transformation. With the rapid growth of the digital economy, the manufacturing enterprise’s digital transformation has become a prominent way to enhance competitiveness, optimize production processes, and promote product innovation.

The relationship between ESG ratings and digital technological innovation in manufacturing: Insights via dual machine learning models

In the era of the current scientific and technological revolution and industrial transformation, digital technology innovation serves as a critical driver for the high-quality development of manufacturing enterprises. The dual attributes of ESG (Environmental, Social, and Governance) ratings, encompassing "internal governance" and "external support," play a pivotal role in propelling digital technology innovation within these enterprises. This study utilizes a dual machine learning approach to empirically investigate the influence of ESG ratings on the digital technology innovation of manufacturing enterprises and explores the underlying mechanisms. Findings indicate that ESG ratings significantly boost digital technology innovation by alleviating financial market constraints, enhancing customer stability in the product market, elevating human resource levels, and increasing innovation awareness and efficiency. These improvements occur through the mechanisms of "external support" and "internal governance." Moreover, the study reveals that ESG ratings substantially enhance digital technology innovation in state-owned and high-tech manufacturing enterprises, in contrast to their limited impact on non-state-owned and non-high-tech counterparts. Conclusively, the paper proposes policy recommendations focused on heightening enterprise and societal awareness of ESG importance, intensifying supervision and enforcement, and refining the ESG rating system.

Do supply chain finance and trade digitization matter in mitigating financial instability in supply chains? An information processing theory view

ABSTRACT This research is grounded in the information processing theory and aims to assess the impact of supply chain financial instability and supply chain management capabilities (e.g. supply chain finance and trade digitization) on the performance of a focal firm. In particular, we consider the impact of supply chain financial instability as information processing needs and supply chain finance and trade digitization as information processing capabilities. We discuss how the fit between the information processing capabilities and the information processing needs improves a firm’s performance, which results in competitive advantage. Path analyses were performed using data collected from 199 manufacturing enterprises in China. The results suggest that when supply chain finance and trade digitization are fitted with the needs to mitigate the impact of supply chain financial instability, a focal firm’s performance can be improved through reduced costs, enhanced efficiency, and bolstered market value. These value-adding outcomes would help gain competitive advantage.

Research on the Influence of AI Technology and Optimization Strategy on the Chinese Manufacturing Enterprises about Digital Transformation

Abstract: The rapid evolution of the digital economy has fostered a favorable environment for the growth of the artificial intelligence (AI) industry, catalyzing a transformative shift across diverse sectors. AI technology is driving the digital transformation landscape, contributing to the emergence of a novel economic framework characterized by enhanced unity, fairness, and operational efficiency. Particularly in China's manufacturing domain, substantial governmental support has propelled the widespread adoption of AI, thereby facilitating significant strides towards industrial modernization. However, despite the promising trajectory, notable challenges persist. These include the scarcity of AI talent, concerns regarding data security such as leakage, and the ongoing refinement of compatibility with existing systems. Addressing these challenges necessitates a multifaceted approach. Efforts should prioritize bolstering personnel training initiatives in AI-related domains through collaborative engagements with industry, universities, and research institutes. This cooperative endeavor can nurture a skilled workforce adept at navigating the complexities of AI implementation. Moreover, stringent measures must be implemented to safeguard sensitive data, including robust encryption protocols, secure computing practices, and meticulous access controls to mitigate the risks of data breaches. Furthermore, promoting standardization processes and embracing data format conversion tools are critical steps towards enhancing interoperability across disparate systems. In conclusion, this discourse underscores the pivotal role of AI in driving the digital transformation journey of Chinese manufacturing enterprises. By addressing pertinent challenges and embracing strategic initiatives, these enterprises can fortify their resilience, navigate future complexities, and achieve sustainable development in the digital era.

Influence of employee job crafting in Chinese manufacturing enterprises on safety innovation performance: a moderated mediation model

Purpose The purpose of this paper is to explore the influence of employees’ job crafting on safety innovation performance through psychological empowerment and the moderation effects of employees’ mindfulness traits and job complexity on such impact. Design/methodology/approach This study conducted structure equation modeling to analyze data collected from 1,566 employees in 96 manufacturing enterprises in northern and central China. Findings Results showed that employees’ job crafting has a positive effect on safety innovation performance, partially through psychological empowerment, and that effect was moderated by employee mindfulness traits and job complexity. Practical implications Manufacturing enterprises should seek to promote employees’ job crafting behavior in the workplace, improve employees’ psychological empowerment and pay attention to mindfulness training for enterprise managers and employees, so as to reduce the probability of unsafe behavior. Originality/value This study reveals the underlying influence mechanism of employees’ job crafting on safety innovation performance using the self-determination theory and suggests that psychological empowerment is critical in determining how employees’ job crafting influences safety innovation performance. Furthermore, both employees’ mindfulness traits and job complexity positively moderate the above mediation.

Beyond Survival: Assessing the Subcontracting Strategy in India’s Unorganised Manufacturing Enterprises

Beyond Survival: Assessing the Subcontracting Strategy in India’s Unorganised Manufacturing Enterprises

Stakeholders Pressure and Green Accounting Implementation in Kenyan Manufacturing Enterprises

The objective of this study was to establish the influence of stakeholders’ pressure on the Green Accounting (GA) implementation in Kenyan manufacturing enterprises. Lack of sufficient research on the factors influencing GA implementation and the paucity of existing literature created the need for this study. Stakeholder theory was applied. Data were gathered using questionnaires that the researcher self-administered. The Cronbach's alpha (α) reliability test was applied to evaluate the internal consistency of the measurements. The investigation's primary emphasis was on 1,107 manufacturing firms that are Kenya Association of Manufacturers members. The sample consisted of 294 firms. To ensure that each data stratum was fairly represented in the analysis, stratified random sampling was used in the study. The study's results showed that stakeholder pressure significantly and favorably impacted Kenyan manufacturing companies' adoption of green accounting. The study came to the conclusion that manufacturing companies in Kenya ought to embrace and apply GA. The study recommends that manufacturing enterprises in Kenya prioritize the training and development of their accounting professionals in environmental sustainability and the importance of stakeholders in green accounting implementation journey. Stakeholders pressure is an integral part of green accounting and thus stakeholders are recommended to continue having requirements to the manufacturing firms to adopt green accounting. Submitted 19th Jul 2024 Reviewed 27th Sep, 2024 Accepted 4th Oct 2024 Published 20th Oct 2024

Financial Resources and Green Accounting Implementation in Kenyan Manufacturing Enterprises

The objective of this study was to influence of financial resources on the green accounting implementation in Kenyan manufacturing enterprises. Data for the study were collected using a descriptive cross-sectional approach. Data were gathered using questionnaires that the researcher self-administered. The Cronbach's alpha reliability test was applied to evaluate the internal consistency of the measurements. The investigation's primary emphasis was on 1,107 manufacturing firms that are Kenya Association of Manufacturers members. The sample consisted of 294 firms. To ensure that each data stratum was fairly represented in the analysis, stratified random sampling was used in the study. Together with descriptive statistics like means and standard deviations, inferential statistics were also used, such as multiple regression analysis, analysis of variance, and Pearson correlation. The study's findings indicated that financial resources significantly and favorably influence Kenyan manufacturing companies' adoption of green accounting. The findings of the regression and correlation analyses demonstrated that the drivers of green accounting had a major impact on the adoption of green accounting. The study came to the conclusion that manufacturing companies in Kenya ought to embrace and apply green accounting. The study recommended that manufacturing enterprises in Kenya to allocate adequate financial resources to green accounting with intention of achieving best results.

Research on the Mechanism of the Green Innovation of Enterprises Empowered by Digital Technology from the Perspective of Value Co-Creation

To help enterprises utilize digital technologies to increase their green innovation awareness and behavior and further clarify the “black box” of this process, this study first develops a theoretical framework to explain the mechanism of the functional attributes of digital technology, stakeholder value co-creation, and enterprise green innovation. Data are subsequently gathered from 342 manufacturing enterprises, and the meditation and moderation hypotheses are empirically analyzed using hierarchical regression and the bootstrapping method. A robustness test is conducted via data grouping. The findings indicate that digital technology openness and affordance have a positive effect on green product innovation and process innovation through value co-creation between businesses and stakeholders. Additionally, digital technology self-growth positively moderates the indirect effect of digital technology affordance on the green innovation of enterprises through value co-creation.

A comprehensive content analysis of 104 Chinese electronic cigarette manufacturing enterprise official websites

ObjectiveThe goal was to analyse website content of Chinese electronic (e) cigarette manufacturing enterprises and understand the marketing strategies to provide evidence for decision-makers to regulate manufacturers.MethodsThrough QCC.com, one of...