Ebook: Digitalization and Management Innovation
The digital era has brought about important changes that continue to affect all our lives. Efficient management and storage of digital information has become crucial, as has the ability to access that information quickly and efficiently, and priorities are to allow for the saving of digital data in many different ways, and to avoid the loss of information in the event of a malfunction.
This book presents the 65 papers presented at DMI2022, the first in the new annual conference series Digitalization and Management Innovation (DMI), held as a hybrid event in Beijing, China, on 26 November 2022. A total of 190 submissions were received for the conference, and the papers presented here were selected after careful and conscientious review, bearing in mind the breadth and depth of the research topics falling within the scope of digital and management innovation and resulting in an acceptance rate of 34%. Topics covered include digital transformation, supply chains, business models, and block chain, enterprises, banking, and sustainability, as well as policy in artificial intelligence, the gig economy, the post-epidemic era, green supply, citizenship behavior, human resource management, human relationships, agriculture, and environmental matters.
Presenting original ideas and results of general significance and supported by clear reasoning, and compelling evidence and methods, the book will be of interest to all those whose work involves the management of digital data.
The digital era is one of important change that continues to affect our lives. Efficient management of information has become crucial, and the initial prerequisite for this is digitalization. After that, the storage procedure is of the utmost importance, not only because of the time taken to record information, but also regarding the time it takes to get the result of any query. Modern high-level programming languages allow us to save digital data in many ways, and to take advantage of the hardware itself and its configuration to provide data redundancy, which may prevent the loss of information in the event of any disaster. A related issue is that of information arrangement in order to speed up the answering of any question. The time required to do a full scan of the data also needs to be efficient and at the same time very scalable. There are a number of recent state-of-the-art papers dealing with the digital era [1], also referred to by some as the digital age.
The conference series Digitalization and Management Innovation (DMI) completed its first edition with DMI2022. We are proud of this, and of the fact that this event will now become an annual one.
The general topics of the 2022 International Conference on Digitalization and Management Innovation (DMI2022) are classified into three main areas: 1) digital technology, 2) innovation and business models, and 3) algorithms for management, research issues and applications. The first thematic line encompasses, among others, digital transformation, era, and talent. The second includes supply chains, business models, and block chain. The third aggregates enterprises, banking, and sustainability.
Apart from these general topics, DMI2022 attracted some hot topics, including but not limited to policy in artificial intelligence, leadership, the gig economy, the post-epidemic era, green supply, citizenship behaviour, human resource management, human relationships, agriculture, and environmental matters. Basic resources like water are covered, as are information technology and transmission, the platform economy and commitment, and innovation in online education management.
Hosted and organized by the Business School of Beijing Wuzi University, the DMI2022 conference was held on 26 November 2022 as a hybrid event. The most popular topics in this book concern management, and digital subjects such as transformation, business and different kinds of chain.
All papers were conscientiously reviewed by programme committee members, who bore in mind the breadth and depth of the research topics falling within the scope of DMI. From some 190 submissions, the 65 most promising and FAIA mainstream-relevant contributions are included in this book, resulting in an acceptance rate of 34.21%. These papers present original ideas or results of general significance, supported by clear reasoning, and compelling evidence and methods.
We would like to thank all the keynote and invited speakers, as well as the authors and conference organising committee members, for their efforts in making DMI a high-standard conference. We are also very grateful to all those, especially the technical programme committee members and anonymous reviewers, who devoted their time to the assessment of the papers. It is an honour to start 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 N. Guarino, J.N. Kok, R. López de Mántaras, J. Liu, R. Mizoguchi, M. Musen, S.K. Pal and N. Zhong, for supporting this conference.
December 2022
Antonio J. Tallón-Ballesteros
Paola Santana-Morales
University of Huelva, Spain
Reference
[1] Raj, Pethuru, Skylab Vanga, and Akshita Chaudhary. “The Dawning of the Digital Era.” (2023): 1-20. Wiley-IEEE Press.
The relationship between social media sentiment and the stock market has been receiving much attention. Based on the perspective of social media user classification, using Weibo and Shanghai Composite Index data, quantile regression and instrumental variable quantile regression (IVQR) model is built to explore the impact of sentiment and sentiment fluctuation on authenticated and non-authenticated users on stock market returns respectively. The research results show that Weibo sentiment and sentiment fluctuation have a positive impact on stock market returns, but the effects of the two types of users are different. The sentiment of authenticated users has a stronger and longer impact on stock market returns, while only moderate sentiment and sentiment fluctuation of non-authenticated users have a positive impact on stock market returns. The research provides evidence for the relationship between social media sentiment and stock market, and has some practical significance for both social media platforms and users.
The epidemic situation in COVID-19 aggravated the pressure and challenges of enterprises ‘management, which directly affected employees’ working attitudes. This paper takes organizational career planning management as the independent variable and takes job satisfaction, turnover intention, and organizational commitment as the proxy variables of dependent variables. H Company is taken as the research object, with 17 qualitative interviews and 645 cluster sampling surveys. Through correlation and regression analysis, the conclusions can be drawn: 1. The implementation of career planning management has a significant impact on employees’ work attitude, a positive impact on job satisfaction and organizational commitment, and a negative impact on turnover intention. 2. Each dimension of career planning management has a different action mechanism on each proxy variable of employees’ work attitudes. Fair promotion, providing information, and paying attention to training and career development in career planning management can significantly promote job satisfaction and job commitment. However, paying attention to training and career development significantly inhibits turnover intention, while the other two dimensions have no significant influence. Based on these conclusions, the enterprises can promote employees’ job satisfaction and organizational commitment by enhancing their career planning management awareness, establishing a perfect career planning management system, and carrying out diversified career planning management practices.
With the advancement of information technology and the development of the Internet, cross-border e-commerce has developed rapidly and has had a certain impact on our way of life. The rapid development of cross-border e-commerce has also brought about problems such as reduced trade efficiency, counterfeit and shoddy sales, and imperfect market supervision mechanisms. The rise of blockchain just proposes a new solution. This article takes the Suning blockchain as a research object to introduce the feasibility of the innovative application of blockchain for cross-border e-commerce platforms and provide a reference for solving the industry’s dilemma.
The quality and safety of fresh agricultural products have become a top priority in the study of agricultural products, and there is a need to shift from the traditional supply chain approach to a digitally enabled smart supply chain, which can realize data collection, monitoring, control, positioning, tracking and supervision of fresh agricultural products in production, processing, transportation, sales, and other aspects, to improve the efficiency of agricultural production, processing, and circulation, while also enhancing consumer satisfaction and government The paper summarizes the quality monitoring of fresh agricultural products. This paper summarizes the main stages of the development of fresh agricultural products’ quality monitoring and traceability system and the corresponding traceability technologies and introduces the technical characteristics and application performance of IoT technology, blockchain technology, and their integration respectively. Combining the application characteristics of IoT and blockchain technologies, it summarizes the distribution and management mode of typical product identification such as QR codes and RFID tags in the whole process of the supply chain from four aspects: IoT information collection, real-time monitoring, and early warning, product information traceability, and product quality supervision and proposes a kind of application process of pig supply chain traceability digitalization scheme, taking pig as an example. The research results of this paper have important reference value for the innovative development of a blockchain-enabled supply chain.
This study uses the method of bibliometrics to sort out and analyze the Chinese research on service innovation in the past ten years, and uses Citespace software to conduct basic statistics and keyword analysis on 1 048 literature samples screened in the CNKI database. The research shows that the number of service innovation literature has increased significantly since 2012, and it follows the development law of service innovation connotation, influencing factors, and innovation paths, and maintains a relatively stable number. From the overall situation, the core author group is not large, there is less cooperation between cross-institutional authors, and most of the publishing institutions are more cooperation between universities located in developed areas of the service industry, but the industry-university research is insufficient of publications. The results continue to extend to the fields of Information technology innovation, business model innovation and management innovation.
The research shed light on how Small and Medium-sized Enterprise (SME) Board of Directors (BOD) and Chief Executive Officer (CEO) strategize digital transformation for value creation. The research is based on participative action research (PAR) conducted with 20 SME Chairman of the BODs and CEOs during 2018-2019 to reveal their aim for frontiers in digital transformation. The findings show that SMEs strategize digital transformation for value creation along different paths depending on SME business process context. However, the essential frontier for SME BOD and CEO is found in the horizontal combination of frontend face-to-face & digital products/service processes with backend face-to-face & digital system platform processes to reach for collaboration with external network actors. Digital and face-to-face processes are perceived as interwoven for value creation. The SME BOD and CEO aim for new frontiers to integrate horizontal leadership through strategizing organizational- and network development processes to create value across ecosystems. This goes beyond hitherto literature- and practice understanding of digital transformation as a top-down process emphasizing the coordination role of senior management in the SME. A new frontier for horizontal leadership to organize digital transformation is hereby empirically revealed.
This paper is based on domestic and foreign scholars for meta-universe concept, characteristics and influencing factors of theoretical research, through comparative analysis summarizes the meta-universe space concept based on technical composite presents “strong interaction, high real-time, strong correlation, deep immersion and to center” characteristics, and through the case study found that “highly independent information sharing, innovation incentive, highly coordination of open and integration” of business innovation concept fully meet the characteristics of meta-universe technology block composite. This paper believes that the “universe” business model innovation integration path can be summed up to: starting from the meta-verse space technology block composite, further highlight the meta-verse space concept, finally realize based on the characteristics of the business model innovation concept of business model optimization, and based on the meta-verse architecture characteristics of business model innovation path targeted construction, so as to realize the parties eventually form a benign dynamic cycle of business goals.
General education has been developed in my country for many years, but at present, the relevant research mainly focuses on the purpose, curriculum and curriculum effect of general education, and there are few studies on the implementation effect of general education and even fewer studies on the implementation effect of general education reflected by quantitative data indicators. This paper takes University A as the object to conduct empirical research, based on the design idea of the Wabash questionnaire applied to the field of higher education in the United States, combined with the actual situation of general education of undergraduates in University A, the original 9 indicators for evaluating the effect of general education are adjusted to 10 indicators. Taking the 2020 students of University A as the research group, a comparative analysis of the 10 indicators was carried out, and it was finally found that the students of University A had certain positive changes in the 10 indicators after general education, of which the largest increase is the ability of teamwork, and the smallest is the ability of self-confidence and tolerance.
With the transformation of the metaverse from the concept stage to the business model stage, the business model has gradually become one of the focal issues of the metaverse. Based on the business model canvas, this paper explores the process of value proposition, value creation, value delivery, and value acquisition of the metaverse. It puts forward a series of strategic suggestions for the metaverse business model landing: breaking through the traditional business logic, exploring the sustainable development mechanism, and predicting and preventing risks.
Digital technologies enable apparel manufacturers to unlock solutions for new product development (NPD) challenges faced during the Covid-19 pandemic. A Product Configurator (PC) is the key to Mass Customization (MC) as it can employ to elicit customer requirements, which is essential in successful NPD. Even though some online PCs exist in apparel retail and product development, no one could gather customer requirements and deploy them in the NPD. This paper conceptualizes a Natural Language Processing (NLP)-based PC on eliciting customer requirements based on a systematic literature review and a basic concept of Design Space Analysis. Finally, it is contended that this knowledge can apply in relevant software development to modernize apparel design, development and online retail.
With the rapid development of the digital economy in China, digital transformation’s impact has penetrated various industries and enterprises. Manufacturing is the main body of the national economy and the country’s foundation. the digital transformation is more important for manufacture enterprises, at the same time, human capital is also an essential factor in promoting digital transformation. Based on this background, this paper analyzes the impact results and mechanism of digital transformation on human capital. Taking Shanghai A-share prominent companies from 2014 to 2020 as the research object, this paper conducts an empirical study on the impact of digital transformation on human capital, constructs A benchmark model, and tests the robustness of the conclusion. It is found that digital transformation can promote human capital investment. Finally, according to the research conclusions, this paper puts forward suggestions for improving enterprise human capital from three aspects: enterprise, government and individual.
This paper uses the method of formal model construction to model the path of enterprise sustainable innovation and explains it by case analysis. Some suggestions are put forward then. In the changing market environment, enterprises can adapt to and strive for more living space only through continuous innovation. The construction of a sustainable innovation loop makes the previous research on sustainable innovation become relatively concrete from the abstract. Enterprises should construct and complete the loop of innovation path according to their own characteristics. In the process of launching Lark, ByteDance takes scientific and technological innovation as the basis, and business model innovation as the key link, and finally completes the cycle of innovation path, and the innovation is still ongoing, achieving the purpose of sustainable innovation, reflecting the enterprise innovation strategy and corporate culture.
In recent years, China’s digital economy has developed rapidly with the scale continuously growing in proportion to GDP. In the context of this development and expansion, Electronic CNY (e- CNY) has also developed in an orderly and stable manner, and the usage of e- CNY has comprehensively promoted the efficiency of the digital economy. With an emphasis on small and micro enterprises as the key component of the digital economy, this paper analyzes the special characteristics of small and micro enterprises in terms of financial situation and pattern of currency transactions and takes a deep dive into the scenario of financial difficulties in the development of small and micro enterprises. give suggestions to small and micro enterprises on how to leverage the method of financial assistance to accelerate and improve the operational efficiency of small and micro enterprises, expand the scale and profits of enterprises, and enhance the market competitiveness of small and micro enterprises in the digital age. This paper proposes that with the promotion and use of e- CNY, small and micro enterprises can embark on the development path by using various information tools, accelerate technological progress and industrial upgrading, realize large-scale operations, and eventually learn to manage enterprises with digital thinking in the wave of the digital era, gradually realize the digital transformation of enterprises, and finalize help the country’s economic transformation with the digital transformation of small and micro enterprises.
International digital talents are critical strategic resources for countries to improve their comprehensive national power and global competitiveness. To better respond to the challenges of economic globalization, it is essential to deepen the reform of the international digital talent training system, clarify the development direction of international digital talent training, and build an international digital talent training mechanism. Based on the grounded theory, the study constructs a global digital talent education system model with three core categories of “input-process-output” and seven main categories through three-level coding and selects 200 data for analysis. The study results show that the current international digital talent education mechanism is imperfect, and the quality of talent is low; the teaching technology, teacher quality and social resources are poor. At the same time, the study proposes countermeasures and suggestions for the weak links from three levels: input elements, process elements and output elementsproviding some theoretical guidance for the school to cultivate better talents.
This paper takes B2C platform enterprises as the main subject of evaluation and considers the construction of e-supply chains among complementary roles of the platform as the research object. It considers distributors-retailers-consumers as each ring of e-supply chains and uses supply chain flexibility, supply chain performance, supply chain risk, supply chain credit, and supply chain competitiveness as indicators to comprehensively evaluate multiple e-supply chains on the same type of platform enterprises. Innovations: (a) It focuses on the micro-environment of the e-supply chain where the platform enterprises and complementary players are located. (b) Combining the entropy method “from cause to effect” and the fuzzy comprehensive evaluation method “from cause to effect,” combining objective and subjective empowerment and dividing the expert interviewees into roles in the supply chain. (c) Unlike the traditional evaluation mechanism, where the analysis target is independent of the supply chain, this paper focuses on analyzing the overall and comprehensive performance of the e-supply chain built by complementary platform roles in various dimensions.
In 2006, the national unified enterprise and individual credit information basic database led by the Central bank was completed and successfully connected nationwide. In recent years, the number of access institutions of the credit investigation system has increased, the scope of coverage is wider, the included information has increased rapidly, and the number of data inquiries has become increasingly large. According to the “Central Bank Credit System Construction Report”, the access institutions of the central bank include banking financial institutions, small loan companies, housing provident fund management centers, insurance companies, trust and investment companies, financial asset management companies, financing guarantee companies and other institutions. Among them, financial institutions account for a large proportion of the access institutions of the central bank, but so far there is no unified standard for the pre-conditions and follow-up management of the access of financial institutions to the credit investigation system. With the increasing importance of credit investigation system, it is necessary to regulate and supervise the financial institutions it connects to. Therefore, this paper studies the path of access of financial institutions to the Central bank’s credit investigation system. On the one hand, it is convenient for the central bank to carry out systematic management of access financial institutions, and on the other hand, it can improve the integrity and accuracy of credit information of the central bank’s credit investigation system. This paper holds that the supervision of big data on the access of financial institutions to the credit investigation system should, on the one hand, improve the legal basis of big data credit investigation, formulate unified data collection standards for access institutions, and on the other hand, formulate unified data preservation and processing rules, and refine data application rules after access. As the largest credit information platform in China, the central bank credit information system plays an important role in improving our country’s credit information system.
In 2019, the National Development and Reform Commission led the issuance of a notice to promote the construction of the national “Xinyi Loan” platform. Since then, the national “Xinyi Loan” platform has entered the vision of SMEs. The difficult and expensive financing of SMEs has always been an important factor causing the low business environment indicators in China. The emergence of the national “Xinyi Loan” platform has well alleviated this problem. However, all the links in the platform are scattered and the information is isolated, and a long-term integrated mechanism has not yet been formed, so it cannot effectively prevent and control risks at present. By constructing a three-party incomplete information dynamic game model of the government, SMEs and financial institutions in the platform, this paper analyzes that all parties should strengthen the pre-loan investigation, in-loan management and post-loan default recovery of the “letter and easy loan” business. To create a good business environment and improve the integration of risk prevention and control, we should further strengthen substantive review, break information islands, promote diversified governance, update data in real time, increase punishment, and improve credit repair.
Headhunting is an important channel to allocate professional talents, and employee turnover has always been a key topic for the company and human resources researchers. Based on the analyses of the primary data of human resource service companies, this paper uses game theory to view the resignation of middle-section employees from the perspective of a headhunter, and the results show that the turnover is mainly about the increase in salary; the men employees tend to get more income than the female; the tendency of employees to seek cross-region configuration and cross-professional and cross-industry configuration affects the headhunting configuration pattern, and the alliance becomes a stable game decision in the simulated three-way game. Finally, the corresponding suggestions are put forward to provide a new perspective for promoting the allocation of human resources in China.
After the boom in luxury brands’ consumption, the consumers’ motivation to buy these brands has gained the interest of researchers in the marketing field. We organized the present study using the grounded theory approach to obtain insight into the motivations behind luxury consumption through interviews with 12 individuals. We used these data to propose a model of motivations behind luxury consumption, which constitutes three categories, i.e., relatedness (conformity of evolutionary psychology and the influence on formal social activities), competence (social status and confidence), and autonomy (others’ attitudes and opinions and uniqueness). Our findings could contribute to better understanding of the motivations behind luxury consumption and proposed the possible theoretical and managerial implications in the future.
With the arrival of the Internet big data era, the digital economy has become one of the important foundations of China’s economic and social development, and the rapid development of digital currency is the basic driving force and important symbol of the current Internet big data era. With the continuous transformation of the digital currency background, finance has become a modern economic system, both domestic and foreign, the competition in the financial industry is also gradually intense, and the innovation of the digital currency background has become the main direction of the development of modern China’s financial industry. In 2020, China’s central bank digital currency began to carry out pilot work in Shenzhen, Suzhou, Xiong’an New Area and Chengdu, China became the world’s first country to issue sovereign digital currency in the world. The issuance of the central bank’s digital currency will bring new opportunities and challenges to the domestic banking industry. The issuance of central bank digital currency will bring great challenges to the traditional business model of commercial banks, and at the same time, it will increase the competition among commercial banks and bring more pressure as well as new risks to the financial infrastructure of commercial banks. Therefore, commercial banks should adjust their business model, strengthen the cooperation among the banking industry, avoid vicious competition among banks, strengthen the financial infrastructure of commercial banks, and improve the risk prevention and control level of commercial banks comprehensively.
With the construction of ecological civilization being incorporated into the overall layout of “five in one” of the cause of socialism with Chinese characteristics, improving the quality of enterprise environmental protection, fulfilling social responsibility and improving the level of corporate governance have become the direction vigorously advocated by all sectors of society. In this context, how to achieve sustainable development has become an important concern. Based on the stakeholder theory, corporate social responsibility theory and signal theory, this paper innovatively constructs the influence mechanism of green supply chain performance on enterprise performance, and empirically tests the mechanism through second-hand data to explore the relationship and mechanism between manufacturing enterprises’ performance on green supply chain and enterprise supply chain financing performance, so as to help enterprises improve their sustainable development capacity. The results show that: the green supply chain performance of listed manufacturing enterprises has a significant positive impact on the amount of supply chain financing, but only social performance can significantly reduce the cost of supply chain financing; the current corporate reputation has no significant positive impact on the performance of supply chain financing, but the lag corporate reputation has a significant impact on the amount of supply chain financing Corporate reputation plays an intermediary role between green supply chain performance and supply chain financing performance.
In recent years, the rapid expansion of universities and the increasingly fierce competition for talents have made overqualification a common phenomenon. As a special human-post mismatch phenomenon, the performance of overqualified employees directly affects the future long-term development of the organization. The organizational citizenship behavior of employees is the source of innovation and the key to maintaining the competitive advantage of the organization. Therefore, whether overqualified employees can demonstrate the organizational citizenship behavior that managers expect, and how to fully utilize and develop the remaining qualifications of overqualified employees so that their innovation potential can be fully utilized, creating more value for the organization and bringing higher returns to innovation performance, have become important research directions in academia. Based on the above research objectives and focus, this study aims to investigate whether overqualified employees can generate positive organizational citizenship behaviors and the influence mechanisms behind them. Through the questionnaire survey, 391 samples were collected in this study and found that perceptions of overqualification negatively affect organizational citizenship behavior, and job involvement plays a partially mediating role in the effect of perceptions of overqualification on organizational citizenship behavior. In other words, the influence of perceptions of overqualification on organizational citizenship behavior is realized through the mediating role of job involvement.
To date, very little attention has been paid to the antecedents of the image of the destination in a non-western context. This study employed the pull-extrinsic and push-intrinsic motivations theory to examine tourists’ experiences as a potential moderating factor in the indirect relationship between extrinsic motives associated with the destination on one hand and tourists’ intrinsic motives and the destination image on the other. Using Smart PLS and PROCESS macro, the analysis of data obtained from 613 tourists of different nationalities revealed that second-order extrinsic motives associated with the destination directly impact tourists’ intrinsic motivations and the destination image. The findings also show that tourists’ experiences decrease the direct link between extrinsic motives and the destination image for first-time visitors compared to repeat visitors. In contrast, it increases the direct link between tourists’ intrinsic motives and the destination image for repeated visitors compared to first-time visitors. The study’s results have important implications for destination marketing managers from a practical standpoint.
The outbreak of Corona Virus Disease 2019 (henceforth COVID-19) has put restrictions on travel and educational exchange. In terms of Sino-Foreign Cooperative Institutions, this pandemic has imposed a strain on normal operation of education process, as foreign teachers hardly have the access to the mainland of China for prevention and control. Thus, these institutions have to rely on online teaching as the only way to maintain teaching work. However, some courses taught online are not effective and cannot fully replace traditional classroom teaching. Therefore, this study target at the largest Sino-Australian cooperative school in Zhejiang Province of China as the research object, and conduct a survey on English teaching delivered by foreign teachers via online and face-to-face methods. Specifically, listening and reading modules are taught online while speaking and writing ones are taught face-to-face. It is found that the combination of these ways performs better from feedback students provide and can almost reach the standard of traditional classroom teaching.