Yongqing He, Bo Zou, Jieyi Pan and Zhenxing Bu
For the basic problems on platform innovation, such as platform innovation connotation and characteristics, the driving mechanism and the influence mechanism are less been…
Abstract
Purpose
For the basic problems on platform innovation, such as platform innovation connotation and characteristics, the driving mechanism and the influence mechanism are less been studied. This study aims to explore how to achieve platform innovation in traditional service enterprises.
Design/methodology/approach
Based on the theory of enterprise network and binary learning, respectively, this paper discusses the behavior of binary learning based on network structure and network impact on efficiency and innovative platform innovation, and analyzed the realization of the platform innovation path.
Findings
The research draws the following conclusions: the network structure-based exploitative learning can promote the efficiency platform innovation, while the network behavior-based exploratory learning can promote the novelty platform innovation. The interaction between network structure and network behavior embedded in traditional services is more conducive to exploratory learning so as to promote novelty platform innovation, and the platform innovation of traditional service enterprises is a process from efficiency-oriented to novelty-oriented. The innovation effect generated by exploratory learning based on network behavior is much higher than that generated by exploitative learning based on network structure. The theoretical contributions of this study are as follows: first, this study compares the similarities and differences between service innovation of platform-oriented enterprises and platform innovation of service enterprises. On this basis, it clearly defines the concept of platform innovation and divides it into two categories: efficiency platform innovation and novelty platform innovation. Second, it reveals the two paths for traditional service enterprises to realize platform innovation, and the interaction between these two paths are also explored, which promotes the scenario-based and dynamic study of platform innovation in traditional service enterprise. The conclusion of this study provides theoretical reference for traditional service enterprises to carry out platform innovation.
Originality/value
Theoretical contribution of this paper lies in: first, the concept of platform innovation is clearly defined. Current research about platform innovation is mainly around the innovation of platform enterprise and the platform innovation of traditional enterprise, but there is no document that makes clear distinction; some literature even equates innovation of platform enterprise with platform innovation of traditional enterprise. In this paper, through a detailed literature review and analysis, clearly define the concept of platform innovation and divided into efficiency platform innovation and novel platform innovation, which has made theoretical contribution to the depth of the research. Second, expand the platform innovation research of traditional service industry. In recent years, the platform innovation research of traditional enterprise has become a hot spot, but they focus on the attention of the platform transformation of traditional manufacturing industry, such as Haier; the traditional service industries seem to be “empty,” but, in fact, the traditional service industry platform innovation is of great significance and more worth looking forward to. In this paper, the longitudinal case studies can promote academic concerns focus on the traditional service industry, and also provides the theory instruction practice. Third, it promotes the platform innovation research of traditional enterprise and dynamic analysis. Based on the theory of enterprise network and binary learning, respectively, it discusses the behavior of binary learning based on network structure and network impact on efficiency and innovative platform innovation, and analyzed the realization of the platform innovation path. On the one hand, it enriches the research type of platform innovation; on the other hand, the dynamic evolution mechanism of platform innovation research can make up for the deficiency of the existing literature.
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Weidong Wang, Yongqing Dong, Renfu Luo, Yunli Bai and Linxiu Zhang
The purpose of this paper is to examine the role of education in the labor market and to understand how returns to education change over time in rural China.
Abstract
Purpose
The purpose of this paper is to examine the role of education in the labor market and to understand how returns to education change over time in rural China.
Design/methodology/approach
Using nationally representative survey data from 2004 to 2015, this study provides insights on wage determination in the labor market and examines how the returns to education in rural China differ with time and educational endowment. This study applies ordinary least squares estimation and the Heckman selection model to estimate the returns to education.
Findings
The returns to education decreased during the observed years from more than 6 percent in 2004 to only about 3 percent in 2011, rising to nearly 4 percent in 2015. The overall trend is robust and observed within groups defined by education. Additionally, the returns to education vary greatly with educational endowment. Tertiary education has always maintained a high rate of returns at nearly 10 percent, while returns to senior high school education and below have gradually diminished.
Originality/value
The authors believe that the results will not only enrich studies on the returns to education in rural China, but also provide a basis for diagnosing the changes of rural labor market in the early twenty-first century.
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Yueting Chai, Chunyan Miao, Baowen Sun, Yongqing Zheng and Qingzhong Li
The synthetic application and interaction of/between the internet, Internet of Things, cloud computing, big data, Industry 4.0 and other new patterns and new technologies shall…
Abstract
Purpose
The synthetic application and interaction of/between the internet, Internet of Things, cloud computing, big data, Industry 4.0 and other new patterns and new technologies shall breed future Web-based industrial operation system and social operation management patterns, manifesting as a crowd cyber eco-system composed of multiple interconnected intelligent agents (enterprises, individuals and governmental agencies) and its dynamic behaviors. This paper aims to explore the basic principles and laws of such a system and its behavior.
Design/methodology/approach
The authors propose the concepts of crowd science and engineering (CSE) and expound its main content, thus forming a research framework of theories and methodologies of crowd science.
Findings
CSE is expected to substantially promote the formation and development of crowd science and thus lay a foundation for the advancement of Web-based industrial operation system and social operation management patterns.
Originality/value
This paper is the first one to propose the concepts of CSE, which lights the beacon for the future research in this area.
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Yankun Zhou, Xiaoqiang Zhi, Huiying Wu and Yongqing Li
This paper aims to examine the role of the Chinese People’s Political Consultative Conference (CPPCC), a political advisory body in China, in addressing environmental challenges.
Abstract
Purpose
This paper aims to examine the role of the Chinese People’s Political Consultative Conference (CPPCC), a political advisory body in China, in addressing environmental challenges.
Design/methodology/approach
This study uses 457 CPPCC environmental proposals across 160 cities for the period of 2013 to 2015 and a mediation effect model to examine the effect of CPPCC environmental proposals on environmental quality.
Findings
This study shows that CPPCC environmental proposals improve environmental quality; and the relationship between CPPCC environmental proposals and environmental quality is partially mediated by enforcement of environmental laws and regulations only although the proposals positively influence both law enforcement and environmental public budget expenditures.
Research limitations/implications
Future research may examine how the interaction between the government and other important stakeholders such as non-governmental organizations can help improve environmental quality. In addition, future research may examine whether other policy tools such as pollution tax and fees, environmental subsidies, and emissions trading can play a role in dealing with environmental issues.
Practical implications
This study provides evidence that supports CPPCC members to take an even more active role in public governance by engaging with both the government and the public.
Social implications
The CPPCC’s participation in public governance helps the government respond to critical issues more effectively. The government should pay close attention to CPPCC proposals when making public policies. Furthermore, the government probably needs to review its policies in relation to environmental expenditures.
Originality/value
This study is the first to examine the role of the CPPCC, a political advisory body, in addressing environmental challenges through functioning as a bridge between government and the public, whereas the extant literature has predominantly focused on the role of government, market and the public.
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Yongqing Ma, Yifeng Zheng, Wenjie Zhang, Baoya Wei, Ziqiong Lin, Weiqiang Liu and Zhehan Li
With the development of intelligent technology, deep learning has made significant progress and has been widely used in various fields. Deep learning is data-driven, and its…
Abstract
Purpose
With the development of intelligent technology, deep learning has made significant progress and has been widely used in various fields. Deep learning is data-driven, and its training process requires a large amount of data to improve model performance. However, labeled data is expensive and not readily available.
Design/methodology/approach
To address the above problem, researchers have integrated semi-supervised and deep learning, using a limited number of labeled data and many unlabeled data to train models. In this paper, Generative Adversarial Networks (GANs) are analyzed as an entry point. Firstly, we discuss the current research on GANs in image super-resolution applications, including supervised, unsupervised, and semi-supervised learning approaches. Secondly, based on semi-supervised learning, different optimization methods are introduced as an example of image classification. Eventually, experimental comparisons and analyses of existing semi-supervised optimization methods based on GANs will be performed.
Findings
Following the analysis of the selected studies, we summarize the problems that existed during the research process and propose future research directions.
Originality/value
This paper reviews and analyzes research on generative adversarial networks for image super-resolution and classification from various learning approaches. The comparative analysis of experimental results on current semi-supervised GAN optimizations is performed to provide a reference for further research.
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Although the Chinese nation is undergoing rapid modernisation and urbanisation, there remains widespread interest in some traditional familial arrangements and practices…
Abstract
Purpose
Although the Chinese nation is undergoing rapid modernisation and urbanisation, there remains widespread interest in some traditional familial arrangements and practices, particularly in the intergenerational context. This paper discusses the family relations of urban middle-aged citizens in present-day China.
Design/methodology/approach
This study employed the grounded theory method to investigate family relations among middle-aged citizens in urban China based on data obtained via semi-structured interviews with 34 participants. A grounded theory coding strategy was used for data analysis.
Findings
The analysis revealed evidence of a transformation towards downward solidarity, with decreasing intergenerational co-residency; that is, the traditional norm of adult children providing support to their older parents is rapidly losing popularity. However, middle-aged and older citizens continue to support their adult children by helping them purchase real estate and assisting with childcare activities.
Practical implications
The findings suggest the existence of intergenerational inequality. Policymakers should acknowledge this phenomenon and provide the younger generation with enough support to improve the wellbeing of the country's middle-aged and older population.
Originality/value
The transformation towards downward solidarity implies a new intergenerational relationship in contemporary China, in which many young people rely on financial and functional support from their older parents. Meanwhile, traditional norms continue to exist despite greater downward solidarity among the younger generation. In other words, old and new norms simultaneously exist.
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Yongqing Hai, Yufei Guo and Mo Dong
Integrality of surface mesh is requisite for computational engineering. Nonwatertight meshes with holes can bring inconvenience to applications. Unlike simple modeling or…
Abstract
Purpose
Integrality of surface mesh is requisite for computational engineering. Nonwatertight meshes with holes can bring inconvenience to applications. Unlike simple modeling or visualization, the downstream industrial application scenarios put forward higher requirements for hole-filling, although many related algorithms have been developed. This study aims at the hole-filling issue in industrial application scenarios.
Design/methodology/approach
This algorithm overcomes some inherent weakness of general methods and generates a high-level resulting mesh. Initially, the primitive hole boundary is filled with a more appropriate triangulation which introduces fewer geometric errors. And in order for better performances on shape approximation of the background mesh, the algorithm also refines the initial triangulation with topology optimization. When obtaining the background mesh defining the geometry and size field, spheres on it are packed to determine the vertex configuration and then the resulting high-level mesh is generated.
Findings
Through emphasizing geometry recovery and mesh quality, the proposed algorithm works well in hole-filling in industrial application scenarios. Many experimental results demonstrate the reliability and the performance of the algorithm. And the processed meshes are capable of being used for industrial simulation computations directly.
Originality/value
This paper makes input meshes more adaptable for solving programs through local modifications on meshes and perfects the preprocessing technology of finite element analysis (FEA).
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Haiya Cai, Yongqing Nan, Yongliang Zhao and Haoran Xiao
The purpose of this study is to regard winter heating as a quasi-natural experiment to identify the possible causal effects of winter heating on population mobility. However…
Abstract
Purpose
The purpose of this study is to regard winter heating as a quasi-natural experiment to identify the possible causal effects of winter heating on population mobility. However, there are scant research studies examining the effect of atmospheric quality on population mobility. There also exists some relevant research studies on the relationship between population mobility and environmental degradation (Lu et al., 2018; Reis et al., 2018; Shen et al., 2018), and these studies exist still some deficiencies.
Design/methodology/approach
The notorious atmospheric quality problems caused by coal-fired heating in winter of northern China have an aroused widespread concern. However, the quantitative study on the effects on population mobility of winter heating is still rare. In this study, the authors regard the winter heating as a quasi-natural experiment, based on the of daily panel data of 58 cities of Tencent location Big Data in China from August 13 to December 30 in 2016 and August 16 to December 30 in 2017, and examine the impacts of winter heating on population mobility by utilizing a regression discontinuity method.
Findings
The findings are as follows, in general, winter heating significantly aggravates regional population mobility, but the impacts on population mobility among different cities are heterogeneous. Specifically, the effects of winter heating on population mobility is greater for cities with relatively good air quality, and the effects is also more obvious for big and medium-sized cities than that in small cities. In addition, different robustness tests, including continuity test, different bandwidth tests and alternative empirical model, are adopted to ensure the reliability of the conclusion. Finally, the authors put forward corresponding policy suggestions from the three dimensions of government, enterprises and residents.
Originality/value
First, regarding winter heating as a quasi-natural experiment, a regression discontinuity design method is introduced to investigate the relationship between winter heating and population mobility, which is helpful to avoid the estimation error caused by endogeneity. Second, the authors use the passenger travel “big data” based on the website of Tencent Location Big Data, which can effectively capture the daily characteristics of China's population mobility. Third, this study discusses the population mobility from the perspective of winter heating and researches population mobility before and after winter heating, which is helpful in enriching the research on population mobility.
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Yongqing Xiong, Qian Cheng, Yukang Xiong and Mingyan Liao
This study aims to investigate the impact and mechanism of new energy vehicle (NEV) information sources (IS) on mass consumers' purchase intentions (PIs) in China.
Abstract
Purpose
This study aims to investigate the impact and mechanism of new energy vehicle (NEV) information sources (IS) on mass consumers' purchase intentions (PIs) in China.
Design/methodology/approach
Around 902 valid questionnaires were collected using the questionnaire to analyze the different effects of three types of IS (official, interpersonal and commercial) on mass consumers' PIs. Besides, this study investigates the mechanisms by examining the mediating effect of perceived risk (PR) and the moderating effect of individual differences like age and education level.
Findings
The three types of NEV IS stimulate the PI of mass consumers, but there are some differences, with interpersonal information sources (IISs) having the strongest contribution, followed by official information sources (OISs) and commercial information sources (CISs) the least. Meanwhile, PR plays a mediating role in the effect of NEV IS on mass consumers' PIs, and age and education level moderate the influence paths. Specifically, the moderating effect of age mainly works on the negative impact of PR on PI, while education level moderates the influence of IS on PR.
Originality/value
This study contributes to filling the gaps in the current understanding of the role played by NEV IS in shaping consumer preferences and choices. It provides valuable insights for automotive manufacturers, policymakers and marketers to tailor their marketing strategies and improve information dissemination to effectively promote NEV adoption among mass consumers.
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Lipeng Pan, Yongqing Li, Xiao Fu and Chyi Lin Lee
This paper aims to explore the pathways of carbon transfer in 200 US corporations along with the motivations that drive such transfers. The particular focus is on each firm’s…
Abstract
Purpose
This paper aims to explore the pathways of carbon transfer in 200 US corporations along with the motivations that drive such transfers. The particular focus is on each firm’s embeddedness in the global value chain (GVC) and the influence of environmental law, operational costs and corporate social responsibility (CSR). The insights gleaned bridge a gap in the literature surrounding GVCs and corporate carbon transfer.
Design/methodology/approach
The methodology comprised a two-step research approach. First, the authors used a two-sided fixed regression to analyse the relationship between each firm’s embeddedness in the GVC and its carbon transfers. The sample consisted of 217 US firms. Next, the authors examined the influence of environmental law, operational costs and CSR on carbon transfers using a quantitative comparison analysis. These results were interpreted through the theoretical frameworks of the GVC and legitimacy theory.
Findings
The empirical results indicate positive relationships between carbon transfers and GVC embeddedness in terms of both a firm’s position and its degree. From the quantitative comparison, the authors find that the pressure of environmental law and operational costs motivate these transfers through the value chain. Furthermore, CSR does not help to mitigate transfers.
Practical implications
The findings offer insights for policymakers, industry and academia to understand that, with globalised production and greater value creation, transferring carbon to different parts of the GVC – largely to developing countries – will only become more common. The underdeveloped nature of environmental technology in these countries means that global emissions will likely rise instead of fall, further exacerbating global warming. Transferring carbon is not conducive to a sustainable global economy. Hence, firms should be closely regulated and given economic incentives to reduce emissions, not simply shunt them off to the developing world.
Social implications
Carbon transfer is a major obstacle to effectively reducing carbon emissions. The responsibilities of carbon transfer via GVCs are difficult to define despite firms being a major consideration in such transfers. Understanding how and why corporations engage in carbon transfers can facilitate global cooperation among communities. This knowledge could pave the way to establishing a global carbon transfer monitoring network aimed at preventing corporate carbon transfer and, instead, encouraging emissions reduction.
Originality/value
This study extends the literature by investigating carbon transfers and the GVC at the firm level. The authors used two-step research approach including panel data and quantitative comparison analysis to address this important question. The authors are the primary study to explore the motivation and pathways by which firms transfer carbon through the GVC.