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In order to improve data security and network data security in the digital economy-driven environment, this paper combines data security technology and network security technology to build a digital economy security management and control system. Moreover, this paper describes the data encryption of the data owners before the framework index and the composition and construction method of the corresponding EncIR tree, and analyzes the spatial keyword group query algorithm on the EncIR tree. In addition, this paper analyzes the experimental performance of index building and spatial query, and builds an intelligent digital economy security system on the basis of these algorithms. The experimental research results verify that the data security technology and network data system driven by the digital economy have good security performance, and on this basis, follow-up security regulations can be formulated. [ABSTRACT FROM AUTHOR]

Cooperative information systems (CIS) are at the core of a digital economy that is dedicated to providing hyper-connected citizens with access to intuitive and sophisticated technology. No longer are commercial applications the only driver of development activities, but wider societal and individual deployment areas are now explored. CIS researchers have for more than two decades studied the nature and requirements of cooperative systems linking latest technologies with hybrid user bases. However, the current opportunity-rich landscape of digital technologies such as mobile and social computing, advanced data analytics, robotic process automation or smart devices has triggered entire new, exciting research questions. In light of this setting, the 23rd International Conference on Cooperative Information Systems took place within the context of the 14th OnTheMove Federated Conferences and Workshops in Rhodes, Greece, in October 2015. This Special Issue features the carefully selected and comprehensively reviewed best papers from this event. [ABSTRACT FROM AUTHOR]

As we enter the digital era, the digital economy provides an opportunity for China's manufacturing industry to achieve 'smart manufacturing' and provides important support for China to move from a 'big manufacturing country' to a 'strong manufacturing country'. This paper constructs an indicator system for the level of digital economy development in Chinese cities by determining the connotation of China's digital economy based on the characteristics of its digital economy development. Based on the application of entropy value method to measure the level of digital economy development of cities, we empirically investigate the impact of the level of digital economy development of cities on the innovation efficiency of manufacturing industry using mixed panel data of listed Chinese A-share manufacturing companies and cities from 2011 to 2019. The empirical study finds that the level of urban digital economy development is conducive to improving the overall innovation efficiency, innovation quality efficiency and innovation quantity efficiency of enterprises, and overall, the digital economy has a significant contribution to the innovation efficiency of manufacturing industry. There is regional, firm size and industry heterogeneity in the impact of urban digital economy development level on manufacturing innovation efficiency, and this heterogeneity is further manifested in the types of manufacturing innovation efficiency. For example, the urban digital economy enhances the innovation efficiency of small-scale firms mainly through the quantity of innovation rather than the quality of innovation. [ABSTRACT FROM AUTHOR]

With the rapid development of digital technologies based on information and communication technology (ICT), some studies suggest that the development of the digital economy is bound to have a significant impact on energy consumption. There are also studies demonstrating from different perspectives that ICT plays an important role in improving energy efficiency. Then, will the rapid development of the digital economy lead to a sharp increase in energy demand (electricity demand), thus affecting China's socio-economic transition to green and low-carbon development? To this end, it is of great practical significance to explore the relationship between the digital economy and energy consumption from theoretical and practical perspectives. Focusing on the issue of ICT and its impacts on energy consumption, this paper clarifies the internal influencing mechanism between ICT and energy consumption. On this basis, this paper compares and analyzes the models, methods, and data in existing studies from the aspects of measurement of ICT's direct energy consumption, empirical research on ICT and energy consumption, and discussions on rebound effects. After a brief summary, this paper identifies their shortcomings and explores future research directions. [ABSTRACT FROM AUTHOR]

Although recognised as useful, ambidextrous innovation also presents unique managerial challenges particularly when exploration and exploitation are pursued simultaneously. The paper aims to explore the forming mechanisms of firm's ambidextrous innovation capabilities using the main approaches in strategic management. The authors theoretically examine the direct effects of the digital economy (DE) on ambidextrous innovation capabilities and the mediating effect of knowledge acquisition (KA) and use the stepwise regression method to conduct an empirical analysis of 178 high-tech companies listed in China's A-share market from 2013 to 2019. The empirical results show that DE has significantly promoted the ambidextrous innovation capabilities of firms, and also has a significant positive impact on the balance effect between exploratory innovation and exploitative innovation; DE has a significant positive impact on both external knowledge acquisition (EKA) and internal knowledge creation; KA has a significantly positive effect on exploratory innovation, exploitative innovation and their balance effect, and the effect of KA on exploratory innovation is greater than that on exploitative innovation. Furthermore, KA plays a significantly mediating role in the relationship between DE and exploratory innovation/exploitative innovation. The findings of our study provide insights for knowledge management research and have important guiding significance for promoting ambidextrous innovation capabilities of firms in DE. [ABSTRACT FROM AUTHOR]

Digitalization has led to fundamental changes in the way people behave and live, and the way organizations, societies and nations operate. Although digitalization has brought about enormous benefits in general, it has also made the work of policymakers ever more challenging. A key responsibility of policymakers is consumer protection and this task is made ever more complicated with issues of data privacy and data ownership since many institutions and companies are now able to gather granular consumer data over transactions and the Internet of Things (IoT). For effective policy-making, policymakers need the right data and information. This is no longer straightforward with issues of valuation and measurement -- how does one measure digitalization and its outputs, particularly with some new-age products and services being free and are readily available? Moreover, digitalization has brought with it wide-ranging implications for the labor market (such as with the rise of gig economy), education, tax laws, economic policies and financial stability, which force policymakers to continuously keep abreast on emerging technological trends and to ensure their policies are up-to-date. This paper attempts to analyze various literature studies and draw some insights on issues that policymakers need to be mindful of in the digital age. Some potential recommendations will be tabled for discussion and further research. [ABSTRACT FROM AUTHOR]

Technological singularity has seriously affected all the social, environmental, and economic genesis factors in mankind's history. The problem of assessing the quality of life in the digital economy is acquiring new nuances including social services. The objective of this study is to investigate unique impacts of digital transformation on economic, environment, and social progresses on the quality of life improvement in China. Environmental statistical data on the impact of investments in social, state, and other spheres of economic activity are analysed at the machine learning level. Application of high-performance computing (HPC) and big data technologies for obtaining data on socio-economic statistics in real-time, the presence of feedback in the Web 4.0 concept, transfer of a significant part of economic processes to internet platforms provide the information necessary for analysis. As a result, a basis is proposed for implementing software products in the form of institutional decision-making support systems for a long horizon of planning investments in the quality of life. [ABSTRACT FROM AUTHOR]