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Editorial for the special issue: Digital Economy and E-commerce Technology
... With the rapid development of the information economy and the Internet, the digital economy is defined as an upgrade and extension of the two, essentially socio-economic activities related to big data, information technology and the Internet (Georgiadis C.K., 2013) [2] Digital economy innovation is not clearly defined in academia at present, but it is essentially a technological innovation system, superimposed on the network and platform characteristics of the digital economy, making digital economy innovation ecological and clustered, which can evolve through two nonlinear mechanisms of change and selective retention (Bongsug Kevin) Chae, 2019) [3]. ...
... In Table 3, From the columns (1) and (3), it can be seen that the coefficient of digital economy innovation is significant at the significance level of 1%. (2) The quadratic term coefficient of digital economy innovation in the column is significantly positive at the significance level of 10%, and the extreme value point is 0.351, and the quadratic term coefficient in the column (4) is significantly negative at the significance level of 1%, so the assumption 1 is true. Possible reasons are: the background of digital economy innovation is the era of big data, with informatization, intelligence, etc. as the basis for development, the early technological optimization has a positive effect on the advanced industrial structure, but the positive effect brought by the low level of industrial structure or traditional industries is insufficient, coupled with the different degrees of dependence on digitalization in the development of the central and western regions, so the early digital economy innovation inhibits the rationalization of the industry, and the degree of industrial digitalization increases in the later stage. ...
... The industrial structure is also continually being upgraded at the same time. The general theory of industrial upgradation and human capital states that, to some extent, the cadence and rhythm of industrial upgrading are determined by the quality of human capital [45]. When it comes to attracting in foreign investment and encouraging the adoption of new technologies, human capital quality is crucial. ...
... The impact of per capita GDP on upgradation of industrial structure was found positive. Higher per capita GDP provides individuals and businesses with increased income, investment capacity, and access to advanced technologies [33,45]. This, in turn, facilitates the upgradation of industrial structure through increased consumption, investment in infrastructure and technology, and economic diversification. ...
A country's industrial structure plays a pivotal role in determining its competitiveness, growth, and sustainability. Recently, many Asian countries have experienced significant economic upgradation and transformation and have emerged as major players in global trade. It is crucial to understand the factors contributing in upgradation of industrial structure of Asian economies for their continuous progress and it is little focused in literature. This study explores the effect of labor quality and digitalization on the upgradation of the industrial structure in 32 Asian countries covering the time period from 2010-2021. Multiple econometric techniques are applied for a comprehensive analysis of data, and the findings show that high-quality labor has a positive contribution to upgrading the industrial structure. Moreover, digitalization upgrades the industrial structure by improving connectivity, fostering collaboration, and enhancing productivity. Based on the findings of this study, Asian countries should prioritize investments in education and skill development to enhance human capital quality. Additionally, they should promote policies that facilitate digitalization, including investments in digital infrastructure, the development of digital skills, and the creation of a supportive regulatory environment. Thus, Asian countries can accelerate the upgradation of their industrial structure, leading to sustainable economic growth, increased competitiveness, and improved living standards.
... The digital economy affects all aspects of social production and life, provides new opportunities for all economic sectors [14], and is a completely new way of accomplishing economic and social activities using information and communication technologies [15]. Bukht et al. [16] define the economic output generated by digital services and products as the digital economy. ...
Common prosperity is the essential requirement of socialism and an important feature of Chinese-style modernization. Data from 284 cities in China from 2011 to 2020 were collected to construct an evaluation system of the digital economy and common prosperity and establish relevant econometric models to explore their impact, spatial spillover, and mechanism. It is found that: (1) the digital economy has an obvious role in promoting common prosperity, this promotion role is dynamic and nonlinear, and the digital economy’s promotion is more obvious in low-level digital economy regions; (2) the digital economy has obvious externalities, and there is a spatial spillover effect in the process of promoting common prosperity; (3) resource allocation efficiency plays a mediating role in the process of promoting common prosperity development in the digital economy. Finally, countermeasures and suggestions are proposed in four aspects: strengthening the development of the digital economy, increasing investment in digital infrastructure, enhancing the digital governance capacity of the government, and building a digital economy demonstration zone. The research results deepen the understanding of the digital economy and common prosperity and provide some insights for the ultimate realization of common prosperity.
... Here is a breakdown of what follows: This chapter covers all aspects of the weight design, construction, and analysis of every indication system. A brief overview and viewpoint on the economy of Anhui Province is also provided, as is data on several of the province's cities [8]. In this study, the organizational capacity of Anhui industry associations has been analysed using wireless technology with artificial intelligence. ...
Recent advances of wireless networks and communication technologies, integrated into the considerable development in the field of environmental policies and public participation, have resulted in the development of wireless network-enabled big data environment in the capacity building of Anhui industry association. At the same time, effective task scheduling in the cloud server based big data environment is essential to schedule the tasks accurately and rapidly. There are thousands of jobs to be executed by the resources available on cloud data centers to achieve minimum time, high performance, and the proper utilization of CPU and resources. The necessity to fulfil user requirements is the main reason of having studies for optimizing the cloud computing of big data in terms of latency, bandwidth, execution time, and resource utilization. Therefore, this work presents a crow search optimization-based task scheduling scheme (CSO-TSS) for capacity building of Anhui industry association on wireless network-enabled big data environment. The proposed CSO-TSS technique mainly intends to schedule the tasks exist in the wireless network-enabled big data environment. Besides, the CSO-TSS technique is executed on a MapReduce environment in order to proficiently handle the big data. In addition, the CSO-TSS technique derives an objective function intending to maximize resource utilization and minimize execution time of the tasks. For examining the improved task scheduling performance of the CSO-TSS technique, a wide range of simulations were carried out and the results are investigated under several aspects. The comparative result analysis stated the better outcomes of the CSO-TSS technique over the recent approaches in terms of different measures.
... Before establishing the digital economy development index system, we need to define the concept of digital economy. According to the existing literature, the digital economy in the narrow scope refers to the information technology (IT) or ICT sector producing foundational digital goods and services (37), and the digital economy in a broad scope integrates all the digitally oriented economic activities, which takes the digitization of ICT as a pivotal production factor, uses modern information and communication infrastructure as a carrier, and provides products or services with digital technologies (21,38). Therefore, the index system of digital economy development is constructed on the broad concept and the necessary conditions required for its development. ...
The digital economy is considered as an effective measure to mitigate the negative economic impact of the Corona Virus Disease 2019 (COVID-19) epidemic. However, few studies evaluated the role of digital economy on the economic growth of countries along the “Belt and Road” and the impact of COVID-19 on their digital industries. This study constructed a comprehensive evaluation index system and applied a panel data regression model to empirically analyze the impact of digital economy on the economic growth of countries along the “Belt and Road” before COVID-19. Then, a Global Trade Analysis Project (GTAP) model was used to examine the impact of COVID-19 on their digital industries and trade pattern. Our results show that although there is an obvious regional imbalance in the digital economy development in countries along the “Belt and Road”, the digital economy has a significantly positive effect on their economic growth. The main impact mechanism is through promoting industrial structure upgrading, the total employment and restructuring of employment. Furthermore, COVID-19 has generally boosted the demand for the digital industries, and the impact from the demand side is much larger than that from the supply side. Specifically, the digital industries in Armenia, Israel, Latvia and Estonia have shown great growth potential during the epidemic. On the contrast, COVID-19 has brought adverse impacts to the digital industries in Ukraine, Egypt, Turkey, and the Philippines. The development strategies are proposed to bridge the “digital divide” of countries along the “Belt and Road,” and to strengthen the driving effect of the digital economy on industrial upgrading, employment and trade in the post-COVID-19 era.
The global economy is driving digital innovations that transform entire systems and make industries and business sectors more connected, efficient, and smarter. Companies that want to digitize and are going to build digital business models need to re-engineer existing ones, redefine their objectives as part of their strategy or create even new ones. The decision-making process in the context of strategy is of paramount importance, as the management determines the future development of the company. This study aims to highlight the importance of employee involvement in the development of a company’s digital strategy and identify aspects that are essential for developing a digital company strategy in this context. The tasks of the research are to study the theoretical aspects of strategy and its development aspects, cognitive processes that are of great importance to ensure the transition to a smart and digitally capable company, the impact of digitalization on employees and aspects of the involvement of employees in the process of strategy-creating. As a result, this paper can influence the decision-makers to rethink the processes and talents needed to digitize the company and the communication process, knowledge, and understanding that are an integral part of the new digital culture.
The article analyses the topic of e-trade assessment in a global environment. To achieve the objective, a de-tailed analysis of scientific works was carried out in order to identify the importance of e-trade assessment in a global environment and, by removing the identified limitations, to develop a model of e-trade evaluation applicable to a global environment. The empirical research was based on the developed e-trade evaluation model to test its effectiveness and applicability in a global environment. Based on the data collected, a multi-criteria assessment of e-trade was carried out, dividing the factors into five dimensions: emotional (consumer satisfaction and trust), technological (internet ac-cessibility, data security and privacy), financial (e-GDP, e-trade sales, impact of e-trade on overall company turnover), social (internet usage and purchasing volumes) and tax environment (VAT), and a comparative analysis of the coun-tries to compare the results of economically similar countries, to find out why the market leaders are performing so well in the e-trade sector, and to identify the methodologies and practices used in these countries, so as to identify the most effective methods and practices that can be applied in other countries. The results of the multi-criteria assessment al-lowed European countries to be classified into three groups: from market leaders to the most laggard countries. The strongest growth rates are found in Ro-mania and Bulgaria. It is worth noting that e-trade is also unpopular in South-ern European countries: Greece, Portugal, Spain, Italy, Malta, Cyprus.
This paper focuses on the methods and the mechanisms of E-commerce and E-marketing, and the important role of international electronic companies in this vital and digital field. The spreaders of the digital economy and the techniques of information and communication technology are deployed with applications of E-commerce and E-marketing. Thus, the digital globalization opens the horizon of technological development and accelerates the growth of the use of modern techniques through the innovation of the digital economy in our daily lives. In addition, the modernization of companies in the field of E-marketing and E-commerce has a direct impact on the strategic relationship between internet users, information, technology and business. In this sense, my theoretical study determines methods and mechanisms of promotion through E-commerce and E-marketing during the revolution of the digital economy and the technologies of modern and social communication.
This paper focuses on the methods and the mechanisms of E-commerce and E-marketing, and the important role of international electronic companies in this vital and digital field. The spreaders of the digital economy and the techniques of information and communication technology are deployed with applications of E-commerce and E-marketing. Thus, the digital globalization opens the horizon of technological development and accelerates the growth of the use of modern techniques through the innovation of the digital economy in our daily lives. In addition, the modernization of companies in the field of E-marketing and E-commerce has a direct impact on the strategic relationship between internet users, information, technology and business. In this sense, my theoretical study determines methods and mechanisms of promotion through E-commerce and E-marketing during the revolution of the digital economy and the technologies of modern and social communication.
Greece e-mail: gxri@acm.org URL: http://macedonia.uom.gr/*geor E. Stiakakis e-mail: stiakakis@uom.gr URL: http://users.uom.gr
- C K Georgiadis
C. K. Georgiadis (&) Á E. Stiakakis Department of Applied Informatics, University of Macedonia, Economic and Social Sciences, 156 Egnatia Str., 54006 Thessaloniki, Greece e-mail: gxri@acm.org URL: http://macedonia.uom.gr/*geor E. Stiakakis e-mail: stiakakis@uom.gr URL: http://users.uom.gr/*stiakakis/ A. R. Ravindran Pennsylvania State University, 352 Leonhard Building, University Park, PA 16802, USA e-mail: aravi@psu.edu URL: http://www.ie.psu.edu/FacultyStaff/Faculty/FacultyProfile.cfm?FacID=21