Ebook: Digitalization and Management Innovation III

DMI2024 was the third edition in the conference series Digitalization and Management Innovation (DMI), held annually.

DMI2024 was held as a hybrid event from 25 to 27 October, onsite in Beijing, China and online. The conference achieved a high attendance rate of more than 100 participants from more than ten countries.

This book is divided into four parts: Part 1: Digitalization and Business Model, Organizational Behaviour in Digital Transformation; Part 2: Management Innovation and Innovation Management; Part 3: Special Session on “Lifelong Education”; Part 4: Interdisciplinary Applications of Digitalization and Management Innovation. The most popular topics in this book concern management and digital aspects such as transformation, business and different kinds of chain.

A total of 293 submissions were received for the conference. These were meticulously reviewed by programme committee members, who carefully considered the breadth and depth of the research topics falling within the scope of DMI. Following the review, 88 of the most promising and FAIA mainstream-relevant contributions were selected for inclusion in this book, resulting in an acceptance rate of 30.03%. These selected papers present original ideas or results of significant importance, underpinned by rigorous methodologies, clear reasoning, and compelling evidence.

We would like to extend our sincere gratitude to all the keynote and invited speakers, authors, and anonymous reviewers for their invaluable contributions, which were instrumental in fostering the success of DMI2024. Additionally, we are profoundly grateful to all those who dedicated their time and expertise to evaluating the submissions, particularly the members of the programme committee and our diligent reviewers. Their efforts have been crucial in ensuring the quality and success of this conference. It is an honour to have started from the beginning with the publication of these proceedings in the prestigious series Frontiers in Artificial Intelligence and Applications (FAIA) from IOS Press. Our particular thanks also go to the FAIA series editors, for supporting this conference.

Antonio J. Tallón-Ballesteros

University of Huelva (Spain)

December 2024

The digital economy is the key force driving the sustainable development of the digital industry, and the development and growth of the digital industry cannot be separated from the policy support and innovation drive, and only through the establishment of a scientific and reasonable policy system, can we better utilize the important role of the digital industry. Based on 54 policy documents issued by national and local governments about the sustainable development of China’s digital industry from 2017 to 2023, this paper adopts the policy informatics theory, content analysis method, rooted theory, and NVivo 12.0 software to analyze and quantify the content of the policy texts related to the digital industry. The study found that the text of the digital industry policy continues the internal logic of “goal - foundation - drive - means - guarantee”. The results show that the sustainable development of China’s digital industry should be based on digital infrastructure, the accumulation of data elements as the driving force, the development of digital industrialization, the digital transformation of industries, the digitization of public services, and the international cooperation of the digital economy, and through the digital economy governance system and security system as the guarantee of the sustainable development of the digital industry.

With the profound development of the global economy and the continuous innovation of information technology, circulation enterprises are encountering unprecedented challenges and opportunities for digital transformation. As one of the world’s largest consumer markets, China’s circulation enterprises’ process and outcomes of digital transformation will exert a significant impact on the global business ecosystem. Revised sentence: This paper conducts a comprehensive analysis of the questionnaires collected from 356 circulation enterprises in the wholesale, retail, and logistics industries through literature review and questionnaire survey. It deeply examines the challenges faced by Chinese circulation enterprises in their digital transformation process and proposes corresponding countermeasures to provide valuable insights for the sustainable development of these enterprises. The challenges encountered in the digital transformation of circulation enterprises include low security performance, inadequate talent reserve, limited government funds, and legal support.

Tools from the machine learning and data mining domain become even more popular in the fields of economics, entrepreneurship, and policy-making. At the same time, the research on small and medium-sized enterprises (SMEs) is getting amplifying importance for governments and policy-makers especially when it comes to support of SME’s digitalization. A good understanding of the current level of digitalization of SMEs by industries is a prerequisite for design and integration of effective national policies. The goal of this paper is to design the architecture of an ML-based AI conceptual framework for assessing SMEs digitalization. We do this from the perspective of customers assuming that their preferences are absorbed in the publicly available (online) data that they generate in social media and community forums. This approach forms a significant contribution of this paper. Furthermore, we define an algorithm for data preparation, and we develop an algorithm based on sentiment analysis, which generates a set of industry-specific digitalization indices, which is another important contribution of this paper.

In today’s landscape of research management, the integration of Information Technology (IT) methods and data science has emerged as a powerful paradigm for enhancing decision-making processes. This paper examines the central role of IT-supported research management, such as Research Information Systems (RIS), in leveraging data science methods for informed decision-making. It addresses the importance of integrating IT infrastructure with advanced analytical techniques to enable data-driven insights and optimize research management strategies. Through a comprehensive review of relevant literature and case studies, this paper elucidates how RIS enables organizations to harness the full potential of data science methods for improved decision support across various facets of research activities. Additionally, it discusses the challenges and opportunities associated with this integration and provides insights into future directions for advancing IT-supported research management practices.

The digitalization of the economy has promoted the further transformation of regional coordinated development. In 2014, the coordinated development of the Beijing-Tianjin-Hebei region became a major strategy of China. It is the core strategy to ease the capital’s non-core functions. Beijing in the wholesale market, regional logistics base as the main content of management has made great progress and a variety of non-core functions of ease is an important indicator of logistics related changes since 2014. Based on the improved gravity model of logistics, we through the comprehensive quality and logistics radiation range of each city in the region of Beijing Tianjin Hebei, the overall spatial layout of Economic Zone regional center city logistics spatial contact occurred in 2018-2022 years. We found that the non-core functions of the capital reduced the freight and traffic burden in Beijing and the volume of logistics connections decreased from 4.54 to 4.39 in 2018. The main logistics of Beijing are Langfang, Tianjin, Shijiazhuang and Tangshan. the degree of connection with Langfang increased by 0.5, with Tianjin increasing by 0.14, and the connection with Shijiazhuang increased by 0.05, and the logistic connection with Tangshan increased by 0.11 from 2021 and 2022. Comparatively speaking, the degree of logistics connection between Beijing and other cities has declined. The problems of uneven logistics linkage in each city are prominent, and the logistics function of Baoding and Zhangjiakou is relatively weak, showing the phenomenon of logistics development, fracture and collapse, and being marginalized in the logistics development of Beijing Tianjin Hebei Economic zone. Accordingly, we put forward policy recommendations to promote the integration of logistics development in Beijing Tianjin Hebei Economic zone under the background of digitalization.

This paper, analyzes the development status as well as competitive advantages and disadvantages of Pupu Supermarket in Wuhan in the context of digitalization. In the empirical research part, the competitiveness evaluation of Pupu supermarket was divided into five first-level indicators. Based on the questionnaire survey, the data were studied by analytic hierarchy process and fuzzy comprehensive evaluation method. Based on the empirical research, combined with the actual development of Pupu supermarket in Wuhan, this paper analyzed consumers’ purchase intentions, and put forward countermeasures and suggestions to enhance competitiveness and increase the attractiveness to consumers.

There is a contradiction between extensive agricultural development and sustainable economic development in many countries, so the innovation of agricultural development model has become the mainstream. Agricultural logistics ecosphere (ALE) is a typical model of “integration of primary, secondary and tertiary industries”, which is an important starting point of agricultural production, supply and sales under the background of digital economy. Based on the framework analysis of influencing factors of ALE in this research team, a dynamic simulation model of ALE collaborative system was constructed. Based on the analysis of the causal loop of variables, the research context of sensitivity analysis of three order parameters (information technology level, professional level of service providers and Coefficient agriculture logistics investment) on the demand volume for agricultural products, ecosphere integration ability and ecosphere value was determined. The simulation model running results show that: (1) Due to the influence of causality between variables, the three factor coefficients have strong or weak influence on the observed variables at different stages of 0.2-0.5 and 0.5-0.8; (2) The influence of a single factor change on the observed variables may be delayed, and it is difficult to produce a significant impact in a short time. The results suggest that policy makers should understand the differences in ALE in different development stages, comprehensively consider the proportion of investment in each factor, and finally seek a balance between agricultural production development and economic sustainability. By exploring the relationship between the variables of the agricultural logistics ecosphere, we can help agricultural logistics corporate identity identify the key factors in the collaborative process of each subject, and provide suggestions for the green and sustainable development of agriculture.

With the continuous growth of the national economy and the continuous breakthroughs in Internet technology, a new era of big data has come. Although China’s e-commerce industry started late, it has seen rapid development In recent years, it has gradually become an important driving force for China’s economic development. In e-commerce, the application of big data lies in mining useful data information for analysis, to reasonably predict the future market, reduce costs, and maximize profits. In modern enterprises, effective supply chain management is a source of profit that can not be ignored. It can produce great profit benefits, which is almost the most important for current e-commerce enterprises. At the same time, the Internet and informatization of supply chain operation is convenient for enterprises to analyze the cost of each link of the supply chain in combination with big data and make favorable decisions. This paper uses supply chain cost control theories, takes PDD as the research object, analyzes the current situation of its supply chain cost control from all links, finds existing problems. Then relevant thoughts & suggestions in the big data context are put forward, including sharing data info, maintaining supplier relationship, using user portraits for consumption stimulation and rational marketing cost planning, eliminating the “copycat” impression and maintaining customer relations, absorbing management talents and rationally allocating personnel for better cost control and profit improvement.

Today’s world is in a situation of significant change unprecedented in a hundred years; changing the complex environment to the stability of the supply chain has brought unprecedented challenges; maintaining the security and stability of the supply chain has become the objective needs of the country to promote high-quality development, supply chain resilience reflects the ability of the supply chain to maintain stability, and to enhance the resilience of the supply chain has become a meaningful way to enhance industrial competitiveness. As a pivotal sector of the national economy, the resilience of the automobile industry’s supply chain is crucial for the industry’s competitiveness and sustainable development. This paper presents a summary of the factors that influence supply chain resilience, which are classified into four dimensions: supply chain prediction capacity, supply chain reaction capacity, supply chain adaptation capacity, and supply chain recovery capacity. The research methodology employed is a combination of literature research and causal analysis. In light of the dimensions above, this study initiates an investigation into the influence of the digital economy on automotive supply chain resilience. It proposes a mechanism through which the digital economy affects automotive supply chain resilience and offers recommendations for enterprises and the government on leveraging digital technology to enhance automotive supply chain resilience.

The digitalization practices, driven by economy, innovation, talent, and policies, have emerged as a critical pathway for rural areas. Digital technologies have yielded promising outcomes, ranging from governance to agriculture, e-commerce and culture. This study analyzes the motivation of digital technology development in rural areas, demonstrates the progress of digitalization practices, and extracts the universal experience of digitalization practices flourishing rural revitalization.

The externality nature inherent in corporate ESG (Environmental, Social, and Governance) endeavors results in suboptimal ESG investment levels. Entrepreneurial endeavors offer a fresh lens through which to capitalize on the digital transformation wave, bolstering firms’ capacity to execute ESG practices and harnessing latent internal strengths. Drawing on a cohort of Chinese manufacturing firms spanning 2018 to 2022, this study introduces intermediary constructs encompassing entrepreneurial innovation, societal responsibility, and an entrepreneurial eco-conscious mindset, to scrutinize the effects and underlying mechanisms of digital transformation on corporate ESG outcomes. The findings underscore that digital transformation serves as a catalyst, significantly enhancing corporate ESG performance. Furthermore, the mediation analysis reveals that this enhancement stems from fostering entrepreneurial innovation and societal responsibility, whereas it may be dampened by a diminished entrepreneurial environmental stewardship mindset. These insights offer empirical foundations for shaping digital development strategies and optimizing ESG performance within the entrepreneurial business landscape.

In order to effectively help enterprises identify the digital influencing factors of low-carbon cold chain of agricultural products in Guangxi and accelerate the realization of low-carbonization of agricultural products cold chain enterprises, this paper constructs an evaluation index system of low-carbon cold chain of agricultural products in Guangxi under digital empowerment. Based on the data of cold chain energy of agricultural products in 11 cities of Guangxi from 2013 to 2022, the carbon emissions of cold chain of agricultural products in different cities were calculated. The results show that the consumption of cold chain energy of agricultural products in Guangxi is increasing in general from 2013 to 2022. Subsequently, the correlation analysis between the panel data of agricultural product cold chain carbon emissions and the panel data of digital factors in 11 cities in Guangxi was carried out. The results showed that the highest correlation was the degree of digital investment, and the lowest was the level of employee digitization. However, the correlation degree of all digital factors is higher than 0.6, which proves that digital factors have a high correlation with the low-carbon cold chain of agricultural products in Guangxi. This study provides a reference for how to realize low carbon in the cold chain of agricultural products in Guangxi by means of digitization.

Blockchain technology empowers the digital traceability of geographically indicative agricultural product supply chains, representing an innovative path towards the modernization of China’s agricultural supply chains. This paper aims to explore the application of blockchain technology in the digital traceability of geographically indicative agricultural product supply chains, with a detailed analysis of Dezhou Braised Chicken as a case study. Originating from Dezhou City, Shandong Province, China, Dezhou Braised Chicken is known for its unique geographical flavor and rich geographical characteristics that endow it with a special taste and quality. As a recognized traditional delicacy, Dezhou Braised Chicken has created a brand effect. However, the complex origins of products in the market make it difficult for consumers to distinguish authentic Dezhou Braised Chicken, exposing it to the risks of counterfeiting and imitation. Any local enterprise in Dezhou City can register its own brand of braised chicken for processing and sales. The existence of this social phenomenon confuses consumers, making it impossible for them to judge the many brands on the market by themselves, and local enterprises in Dezhou cannot highlight the characteristics of their own products. By utilizing blockchain technology, it can be ensured that every product labeled “Dezhou Braised Chicken” is genuinely from Dezhou, maintaining the brand’s authenticity and reputation, highlighting the unique features of different enterprise brand products, and further enhancing the brand value of traditional products like Dezhou Braised Chicken.

The Metaverse represents a digital platform that not only changes the way one interacts with the world, but is also a generator of innovation in various business sectors. The Metaverse is emerging as a catalyst for future technological trends, transforming not only digital experiences but also society itself. The paper briefly its key technologies such as virtual and augmented reality, artificial intelligence, blockchain, 5G networks. Based on these technologies, the article seeks to analyze new opportunities for business, economic models, social interactions and insights on how the Metaverse can serve as a platform for continuous innovation, shaping the future of the global economy.

Generative AI technologies are revolutionizing various business sectors, providing new ways to automate, personalize and innovate. The aim of the paper is to explore the future of business innovation through generative AI, highlighting its impact on design, manufacturing, logistics, marketing, healthcare and education. Generative AI offers significant benefits such as accelerating new product development, optimizing processes and improving customer experience. However, the use of these technologies also brings challenges, including ethical issues related to intellectual property and employment, as well as the need for regulations. The article predicts that in the coming years, generative AI will play a key role in transforming business models and will continue to drive innovation across industries.

With the growth of Data Science, digital transformation has become an essential path to sustainable development in the manufacturing industry. In order to help the government make a more effective and accurate assessment of the current state of digital transformation in the manufacturing sector, we construct a measurement system for corporate digital transformation by integrating internal and external perspectives. The internal organization’s focus is measured through annual reports, MD&A texts, customer and supplier state, and intangible assets, while the external environment’s focus is measured through analyst reports, news reports, and investor Q&A texts. We conduct an empirical analysis of 175 listed manufacturing companies in the Beijing-Tianjin-Hebei region, with results indicating: (1) The digital transformation measurement method that integrates internal and external concerns can compensate for the insufficiency of a single perspective on digital measurement, effectively capturing the interaction between internal organizations and the external environment to achieve a comprehensive assessment of digitalization. (2) The region’s overall level of digital transformation is relatively good, suggesting that digital transformation has shifted from an externally environmental-driven model to an internally organizational-driven one.

Amid the trend of global economic integration and digitalization, the stability and sustainability of the food supply chain have become a focal point of concern for many. Governments worldwide are promoting the digital transformation of the food supply chain to enhance operational efficiency, strengthen system resilience, and ensure food safety. The use of digital tools has significantly improved the supply chain’s response time, providing the flexibility needed to adapt quickly to market fluctuations and potential shocks. However, the digitalization of the food supply chain also faces a series of challenges. This article delves into the patterns of digital transformation, using the Lu Liang Group as a case study to analyze its rationality and feasibility. Through the analysis of the Lu Liang Group, the article aims to provide valuable experience and reference for other companies in the same industry to optimize their supply chain management and play a greater role in the global food security system.

With the acceleration of industrialization, the safety of hazardous chemicals (Hazardous Chemicals) in production, storage and transportation is becoming more and more prominent, posing a serious challenge to public safety and environmental protection. The safety management of the hazardous chemicals supply chain is not only related to the sustainable development of enterprises, but also directly affects social stability and the safety of people’s lives and properties. Therefore, it is of great practical significance and strategic value to realize the safety digital supervision of hazardous chemical supply chain. This paper provides theoretical support and practical guidance for the digital regulation of hazardous chemical supply chain safety by reviewing the current research status of hazardous chemical supply chain accidents, digital regulation, and digitalization of hazardous chemical supply chain issues.

Digital transformation and development is a national development strategy. Through digital development, enterprises can make full use of resources in a complex and changing external environment, improve the resilience of their supply chains, and effectively cope with exceptional risks. Through rooted analysis, this paper analyzes cross-border durian foreign trade enterprises, and draws three core categories of digital transformation and development, intelligent operation, and supply chain resilience, and makes clear the internal logical correlation between the three: Based on the development of digital transformation, enterprises can realize intelligent operation. Through these two stages, enterprises can use resources more efficiently, prevent risks, and enhance the resilience of enterprise supply chain.

As the 20th report urges accelerating “digital China”, “manufacturing power” and “network power”, enterprises grasp digital transformation’s significance for competitive advantage. This paper studies its impact on radical and incremental innovation in China’s high-end manufacturing, using 2014–2022 A-share data. Results show positive effects mediated by knowledge absorption capability. The research enriches theory and offers insights for enterprises.

Selecting a sample of 1,284 listed companies in Shanghai and Shenzhen A-shares from 2007 to 2020, the article explores the impact of digital transformation on firm value and further examines the moderating role of economic policy uncertainty in the development process of digital transformation. Digital transformation promotes enterprise value through the transmission of operating cost mechanism and financing constraint mechanism. Therefore, digital transformation should be vigorously promoted, environmental regulation should be improved, and the construction of digital infrastructure and environmental policies should be facilitated to help achieve the ‘dual carbon’ goal.

The digital economy has penetrated various fields of the social economy, including the healthcare industry, and the high-quality development of hospitals requires high-quality middle-level managers. Most middle-level managers in Chinese university affiliated hospitals come from medical technology backbones, and the phenomenon of “double shoulders” is common. They are tired of coping and lack professional knowledge in management. Constructing a scientific competency model for middle-level managers in Chinese university affiliated hospitals is not only a reference for cultivating middle-level managers in Chinese university affiliated hospitals, but also of great significance for improving the quality of middle-level managers in Chinese university affiliated hospitals. The article extracts the competence qualities of middle-level managers in Chinese university affiliated hospitals through literature analysis and grounded theory and uses fuzzy analytic hierarchy process to determine the weights of various elements of competence, constructing a competence model for middle-level managers. The results show that the competency qualities of middle-level managers in Chinese university affiliated hospitals can be summarized into 26 competency qualities, including five dimensions: digital technology ability, hospital decision-making ability, hospital management ability, personal characteristics, and knowledge learning ability. Among them, hospital management ability and decision-making ability are the most important dimensions.

The rapid development of Internet technology, the multi-field integration of application scenarios and new technologies, such as AI, big data and cloud computing, have boosted the rapid development of the tourism industry’s digitalization. The change and development of the tourism industry have led to an increased demand for tourism digitalization digital technology professionals. This study focuses on the university and college level education to meet the development of new tourism scenarios in the big data era. The research explores “Three-in-One” educational framework and “Three-dimensional Scenarios” educational model. This study also examines the present development trend of the tourism market and the skill characteristics of demand. Additionally, the study explores the training framework of tourism digitalization education. The research analyzes the development of the local tourism industry in Shenzhen City. It suggests that localized training programs can benefit the development of tourism digitalization education at universities and colleges.