scholarly journals Monitoring Index System for Sectors’ Digital Transformation and Its Application in China

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1301
Author(s):  
Jun Li ◽  
Keqin Dou ◽  
Sha Wen ◽  
Qing Li

Presently, for the purpose of sustainable growth of the economy, it is a common choice to promote sectors’ digital transformation (DT). However, to credibly monitor the effect of DT on sectoral development, it is necessary to develop a systematic measure for the monitoring sector’s DT. This study provides a monitoring index system for sectors’ DT. First, an assessment framework for enterprises’ DT is introduced, which laid a foundation for the proposed monitoring index system for sectors’ DT. Secondly, a monitoring index system for sectors’ DT is established, which includes 13 monitoring indexes from four aspects, namely transformation stages, single-domain digitalization, integration and interconnection, and collaboration, interaction and mode innovation. A weighted method of interval hesitant fuzzy entropy is also given here. Finally, a panorama of sectors’ DT in China is derived by applying the proposed monitoring index system, and a prediction that the level of sectors’ DT in China will continue to grow in the next three years is made by gray predication.

2021 ◽  
Vol 7 (6) ◽  
pp. 6128-6142
Author(s):  
Tian Li ◽  
Wang Hongqi ◽  
Yang Zhongji

Objectives: Facing the tidal wave of the global digital, taking advantage of the trend to carry out digital transformation is an inevitable choice for the development of small and medium-sized manufacturing enterprises. Based on the analysis of digitalization, digital transformation and digital maturity and other related documents, the paper developed a digital maturity model for small and medium-sized manufacturing enterprises (Digital maturity model, DMM), and designed a rule-based digital maturity level identification method. The literature method and expert review method are used to refine the digital maturity index system of small and medium-sized manufacturing enterprises, and the specific weight of the evaluation index is calculated by the analytic hierarchy process. The model includes 4 first-level indicators, 14 second-level indicators, and 36 third-level indicators for digital infrastructure, core business digitalization level, digital human resource level, and digital transformation management. Using the proposed index system and the corresponding digital maturity level identification method, the digital level of small and medium-sized manufacturing enterprises and their value chains can be evaluated, which helps enterprises to achieve strategic goals of digital transformation in a targeted manner, and provides effective solutions for the development of digital transformation of enterprises. The evaluation methods and tools also provide useful reference and guidance for the theoretical community.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sorin Gavrila Gavrila ◽  
Antonio De Lucas Ancillo

PurposeThe coronavirus disease 2019 (COVID-19) pandemic has taken society, business and industries by surprise leading to a worldwide economic recession, pushing organizations to rethink their business model in order to shift from activity shutdown toward sustainable growth. The purpose of this research is to comprehend the implications and relationship between entrepreneurship, innovation, digitization and digital transformation aspects as the levers to achieve this goal.Design/methodology/approachFollowing the existing literature, an empirical approach has been established involving a quantitative analysis of secondary information obtained from official datasets and reports.FindingsThe COVID-19 pandemic was found to be an unfortunate accelerator regarding both consumers' habits and organizations' innovation and digital transformation, breaking with the past leading to new sustainable growth business models.Practical implicationsThe research provides an underlying outcome that addresses how wealth and economic value could be generated within the framework of new economic models in a post-pandemic environment.Originality/valueThe research highlights how the pandemic has disrupted what was known about sustainable business growth, and how this affects the future of business beyond the pandemic scenario, transforming the way society, businesses and customers interact.


2020 ◽  
pp. 794-800
Author(s):  
Chun Yang, Kaiman Ou, Shaoyong Hong

The private economy is the driving force and energy to promote the sustainable and healthy development of the economy and society. To ensure the sustainability and stability of the private economy, it is of great significance to try to analyze and investigate the detection and early warning of the private economy for the economic management departments to formulate corresponding macro-control policies in a timely and accurate manner. Taking Guangzhou for an example, this paper constructs a monitoring index system based on the data obtained from a questionnaire survey of 88 private enterprises in the 11 districts of Guangzhou, combined with the current situation of the private economy. In this monitoring index system, the analytic hierarchy process is used to obtain the weight of each monitoring index, and the fuzzy mathematics theory is used to establish a monitoring model of the economic prosperity of the private enterprises. It turns out that the private economy in Guangzhou is increasingly developing currently. The Economic management departments can adjust economic policies in accordance with the current index.


2011 ◽  
Vol 467-469 ◽  
pp. 36-41
Author(s):  
Shan Lu

This paper, based on a comprehensive consideration of features of the selection of service outsourcing suppliers, proposes the criteria for evaluating suppliers of service outsourcing by combining the traditional evaluation index system, and the criteria are determined as technical capability, responsiveness, quality, value-adding ability and cultural cooperation. In this paper, method of multi-criteria decision making, based on intuitionistic language fuzzy entropy, is adopted to evaluate and select suppliers of service outsourcing, and the scientific and feasible nature of this decision-making process is then verified through empirical studies. It is necessary to further enrich and improve the index system and methods of supplier selection in the future according to features of companies from different industries and with different background.


Author(s):  
Marina Slonimska ◽  
Nadezhda Dubko ◽  
Elena Veretennikova

Relevance of the research topic. The information and knowledge flow management is an important component for regional development in the context of the fourth industrial revolution. It allows taking advantage of the opportunities hidden in the digital transformation of the business community and providing the transformations necessary to reorient development towards inclusive and sustainable growth. Formulation of the problem. Managing the process of introducing Industry 4.0 technologies based on effective state and collective strategies opens up opportunities for regional development, but requires the development of special decision support tools, scientific substantiation of the model of systemic transformation of the region, identification of the main stakeholders and the mechanism of their interaction. Analysis of recent research and publications. The works of such researchers as Yasheva G. A. and Fateev V. S. (Belarus), Lenchuk E. B. (Russia), Götz M. and Jankowska B. (Poland), Ciffolilli A. and Muscio A. (Italy) and others are devoted to the issues of territorial and regional development in the context of the fourth industrial revolution. Selection of unexplored parts of the general problem. The mechanism of small businesses involving in the process of the necessary systemic transformation in the context of the fourth industrial revolution has not been sufficiently studied. Setting the task, the purpose of the study. The purpose of the study is to analyze the theories of regional development in the context of the fourth industrial revolution and to propose an organizational and economic mechanism for the digital transformation of the regional business community, including the SMEs’ sector. Method or methodology for conducting research. The research used the methods of analogies, analysis and synthesis, sociological survey. Presentation of the main material (results of work). The article analyzes the main concepts of regional development, concludes that it is necessary to consolidate regional actors according to the ‘Quadruple Helix’ model based on inter-organizational information systems in order to introduce Industry 4.0 technologies. An algorithm for the development of an electronic platform from a cluster site to an information system of integrated supply chains is proposed on the example of the Novopolotsk innovative and industrial petrochemical cluster. The field of application of results. The results of the research can be used by companies providing activity in regional development and small business support, in scientific and educational institutions, in public administration. Conclusions according to the article. Networked connections between regional actors, innovation networks based on the open innovation paradigm and integrated supply chains promote region development in the context of the fourth industrial revolution, this requires appropriate institutional conditions.


2021 ◽  
Vol 107 ◽  
pp. 07002
Author(s):  
Nadiia Shmygol ◽  
Olena Cherniavska ◽  
Dariusz Pawliszczy ◽  
Yeugeniia Shmygol ◽  
Alexandra Cherniavska

The relevance of the chosen topic is related to the growing interest of researchers in technologies and mechanisms of growth of new touristic opportunities in the smart era of society, features of its impact on national policies in order to achieve strategic socio-economic goals of the countries both for domestic territories and along the path of development of geoeconomic strategies in the global space. In addition the relevance of the research direction is enhanced by the fact that tourism is one of the sectors of the world economy that has suffered the most from restrictions on movement during the pandemic crisis. The European Commission has recently presented a series of proposals setting out the foundations of the EU economy and society suitable for the digital age, outlining the development of a genuine European data space and offering a European approach to new technologies. The new industrial strategy and the SME strategy (adopted on March 10, 2020) identify the path to digital transformation to empower industry and small and medium-sized enterprises. The latest strategic communication of the European Commission “Tourism and Transport for 2020 and beyond” emphasizes the role of digital transformation and sustainability. This involves investing in digital skills and promoting digital innovation, as well as linking the tourism business and businesses to existing data spaces, technology providers, and community actors at the local and regional levels. To determine the possibilities of further evelopment of the industry, ithe article proposes a factor model of the total revenue from tourism activities, taking into account regional changes in tourist flow, provide recommendations for the effective development of the industry with account of future trands of tourism industry and ecosystem development. These issues are equally pertinent both for tourism, given the advantages innovative, new technologies can bring to tourism destinations and for businesses, local communities and travellers. They can facilitate tourism management both at destination and business level, contributing to balanced and sustainable growth of tourism in post Pandemic time. New smart technologies can help businesses provide more personalised services and therefore enhance the tourism experience.


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