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Article
Publication date: 14 October 2020

Shaojie Han, Yibo Lyu, Ruonan Ji, Yuqing Zhu, Jingqin Su and Lining Bao

This study aims at developing a better understanding of the relationship between network embeddedness and incremental innovation capability and further examines the…

Abstract

Purpose

This study aims at developing a better understanding of the relationship between network embeddedness and incremental innovation capability and further examines the moderating effect of open innovation.

Design/methodology/approach

This paper adopts hierarchical regressions to validate the theoretical model and collect the patent data of the top 54 firm patentees in the smartphone industry as empirical sample. Using patent citation network data, this paper estimates the relationship between open innovation, network embeddedness and incremental innovation capability.

Findings

This paper empirically shows that structural embeddedness exerts a negative effect on incremental innovation capability, while relational embeddedness is positively related to incremental innovation capability. And open innovation strengthens the relationship between network embeddedness and incremental innovation capability.

Originality/value

This paper shifts the focus of the determinants of incremental innovation capability from internal factors to the external network features by exploring the linkage between network embeddedness and incremental innovation capability. A counterintuitive conclusion is that structural embeddedness shows a negative effect on firm's incremental innovation capability. Furthermore, in contrast to most previous studies, which only focus on the direct effect of open innovation on the firm's incremental innovation capability, our study examines the moderating effect of open innovation on the relationships between network embeddedness and incremental innovation capability. At last, the results provide practical guidance for firms to occupy the beneficial network positions and adopt appropriate open innovation strategies to improve their incremental innovation capability.

Details

Management Decision, vol. 58 no. 12
Type: Research Article
ISSN: 0025-1747

Keywords

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Article
Publication date: 8 April 2019

Zhongyi Hu, Raymond Chiong, Ilung Pranata, Yukun Bao and Yuqing Lin

Malicious web domain identification is of significant importance to the security protection of internet users. With online credibility and performance data, the purpose of…

Abstract

Purpose

Malicious web domain identification is of significant importance to the security protection of internet users. With online credibility and performance data, the purpose of this paper to investigate the use of machine learning techniques for malicious web domain identification by considering the class imbalance issue (i.e. there are more benign web domains than malicious ones).

Design/methodology/approach

The authors propose an integrated resampling approach to handle class imbalance by combining the synthetic minority oversampling technique (SMOTE) and particle swarm optimisation (PSO), a population-based meta-heuristic algorithm. The authors use the SMOTE for oversampling and PSO for undersampling.

Findings

By applying eight well-known machine learning classifiers, the proposed integrated resampling approach is comprehensively examined using several imbalanced web domain data sets with different imbalance ratios. Compared to five other well-known resampling approaches, experimental results confirm that the proposed approach is highly effective.

Practical implications

This study not only inspires the practical use of online credibility and performance data for identifying malicious web domains but also provides an effective resampling approach for handling the class imbalance issue in the area of malicious web domain identification.

Originality/value

Online credibility and performance data are applied to build malicious web domain identification models using machine learning techniques. An integrated resampling approach is proposed to address the class imbalance issue. The performance of the proposed approach is confirmed based on real-world data sets with different imbalance ratios.

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Article
Publication date: 7 March 2016

Jing Zhou, Yuqing Gao, Xiaoyan Huang and Youtong Fang

Consider the mutual coupling between loads, the purpose of this paper is to study the total transmission efficiency based on different load coil positions relative to the…

Abstract

Purpose

Consider the mutual coupling between loads, the purpose of this paper is to study the total transmission efficiency based on different load coil positions relative to the charging platform, to provide the theoretical basis for the design and parameter optimization of one-to-multiple wireless charging platform.

Design/methodology/approach

Based on the dual-load series-resonant wireless power transfer system, the expression of system efficiency and its calculation model is achieved using the equivalent circuit theory. Finally, a 96 kHz magnetic resonance wireless power transmission test platform is built up to verify the theoretical analysis given in this paper.

Findings

For the completely resonant circuit, the transmission efficiency can be improved by increasing the transmitter-receiver coupling and reducing the coupling between receivers. The total transmission efficiency achieves its lowest value when two loads are with equal competitive capability.

Originality/value

Through the simulation analysis of efficiency formula, the selection principle of impact factors can be applied to the optimization analysis of the transmission efficiency.

Details

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 35 no. 2
Type: Research Article
ISSN: 0332-1649

Keywords

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Article
Publication date: 12 March 2020

Yuqing Wu, Jizhong Shen, Jun Liang and Maoqun Yao

The design method of high-resolution capacitor arrays was proposed to improve the precision of successive approximation register (SAR) analog-to-digital converters (ADCs…

Abstract

Purpose

The design method of high-resolution capacitor arrays was proposed to improve the precision of successive approximation register (SAR) analog-to-digital converters (ADCs) without calibration and optimize the circuit area.

Design/methodology/approach

According to calculation of equivalent series capacitors and change of voltage at the comparator input node, two three-stage structures of capacitor arrays and a general design flow of the multi-stage capacitor arrays were presented. Non-ideal factors on the capacitor arrays were analyzed, and the applications of the two structures were explained based on the capacitor mismatch.

Findings

A multi-stage capacitor array for 16-bit SAR ADCs was implemented. The simulation result shows that its nonlinear error was less than 0.3LSB with no gain error and the sampling capacitance accounted for 92.42% of the total capacitance. Effects of capacitive parasitic and mismatch on capacitor arrays were confirmed.

Originality/value

The proposed method focused on capacitor arrays design of high-resolution SAR ADCs. It effectively reduced nonlinear errors, improved SNR and optimized the area of SAR ADCs. The design method was suitable for SAR ADCs with different resolutions to improve their precision.

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Article
Publication date: 25 May 2020

Shuling Zhou, Xi Zhang, Juan Liu, Kaihua Zhang and Yuqing Zhao

Smart cities show a “booming” trend both in the academia and the industry in recent years. Scholars across the world have been investigating how new technologies are…

Abstract

Purpose

Smart cities show a “booming” trend both in the academia and the industry in recent years. Scholars across the world have been investigating how new technologies are applied to develop new services to the inhabitants and cities all over the world also address the “smart cities” challenges by promoting policymaking and governance. This paper aims to conduct in-depth research on smart cities by combining the study of governance policy study and information technology study.

Design/methodology/approach

This paper empirically mapped the trends of smart city development, outstanding scholars and hot topics about smart cities by analyzing important references using CiteSpace. The authors visualized references and topics to analyze smart city research, based on empirical data from Web of Science. Furthermore, two most important research branches – topics from smart city governance research and those from information systems (IS) research were studied, respectively.

Findings

First, the authors mapped the development of research and divided the development into three different stages. Second, the authors explored important, influential and instructive publications and publications’ attributes including authors, institutions, journals and topics. Third, the authors found there are different characteristics between the IS group and the governance group in publication situations, influential institutions, journals and authors, although the research points of the two branches are overlapping and fragmented. Finally, the authors proposed important topics, which include “internet of things (IoT)”, “big data”, “smart city systems” and “smart city management” and the authors predicted that “IoT” and “smart city challenge” would be future trends in recent years.

Originality/value

This study is an innovative research of its category because it visualized the development of smart city research, analyzed both governance and technology branches of smart city research synthetically using CiteSpace and forecasted future trends of smart city research by topics analysis and visualization of evolution.

Details

Journal of Science and Technology Policy Management, vol. 11 no. 4
Type: Research Article
ISSN: 2053-4620

Keywords

Content available
Article
Publication date: 5 October 2020

Neng Shen, Yuqing Zhao and Rumeng Deng

This paper aims to review the literature on carbon trading from the perspective of evolution, finds out the evolution path of these literatures and gives out the future…

Abstract

Purpose

This paper aims to review the literature on carbon trading from the perspective of evolution, finds out the evolution path of these literatures and gives out the future research hotspots in this field.

Design/methodology/approach

Uses visualization tools (CiteSpace and HistCite) to systematically categorize the literature on carbon-trading schemes in the Web of Science core collection from 1998 to 2018, comprehensively analyzes carbon-trading schemes from four dimensions, namely, discipline evolution, keyword evolution, citation cluster evolution and citation path evolution.

Findings

Research on carbon-trading schemes has a specific development and evolution path along four dimensions, namely, in the discipline dimension, the largest change lies in the mathematics pointed to by at least four different disciplines; the keyword evolution dimension shows a gradual deepening emphasis on coordinated development; citation clusters identify three major clusters – carbon prices, China’s carbon trading, carbon market and supply chain; and citation paths identify three major evolutionary paths, the most important of which shows that “What affects carbon price?” has changed to “What is the impact of carbon prices?”

Originality/value

Reveals the evolution path of carbon trading research studies and proposes four possible development directions for carbon-trading scheme research, which is helpful for future carbon trading-related research and serves as a reference for the promotion of and improvements in carbon-trading schemes.

Details

International Journal of Climate Change Strategies and Management, vol. 12 no. 5
Type: Research Article
ISSN: 1756-8692

Keywords

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Article
Publication date: 9 April 2018

Hong Xu, Yuqing Liu and Xingyang Lyu

This study aims to examine how the degree of value co-creation affects Chinese customers’ evaluations of new tourism and hospitality services, and how the outcome quality…

Abstract

Purpose

This study aims to examine how the degree of value co-creation affects Chinese customers’ evaluations of new tourism and hospitality services, and how the outcome quality moderates this relationship under different conditions.

Design/methodology/approach

The proposed hypotheses are tested using a self-reporting questionnaire-based survey and two experimental designs. Data analysis entailed hierarchical multiple regression analysis, a simple slope test and a two-way ANOVA.

Findings

Three component studies assessed boundary conditions for the positive effects of the degree of value co-creation on customers’ evaluations of new services. Studies 1 and 2 indicated that unequivocal high-quality outcomes amplified positive effects, which were reversed by unequivocal low-quality outcomes. Study 3 demonstrated that in Chinese contexts of ambiguous outcomes, the relationship between the degree of co-creation and new service evaluation was positively mediated by self-integration in private contexts and negatively mediated by loss of face in public contexts.

Practical implications

This study identifies critical factors influencing successful service innovation in China within different contexts. Its finding of context-dependent customer engagement in value co-creation has managerial implications for facilitating favorable new service evaluations.

Originality/value

This exploratory study addresses a research gap regarding service innovation, offering insights into positive and negative influences of customer value co-creation on new service evaluation, under different outcome quality conditions in the domestic Chinese hospitality and tourism sector.

Details

International Journal of Contemporary Hospitality Management, vol. 30 no. 4
Type: Research Article
ISSN: 0959-6119

Keywords

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Article
Publication date: 20 March 2017

Peng Nai, Yuqing Luo and Guang Yang

This study aims to propose a set of institutional frameworks, as well as practical polices and steps, with a view to facilitating the establishment of a unified carbon…

Abstract

Purpose

This study aims to propose a set of institutional frameworks, as well as practical polices and steps, with a view to facilitating the establishment of a unified carbon trading market in China.

Design/methodology/approach

Based on existing empirical studies and reviews of the socioeconomic contexts, this study followed a qualitative approach consisting of secondary data collection and analysis, semi-structured interviews to collect primary data and comparative analysis.

Findings

The establishment of a national carbon trading market in China is a systemic and complex process which requires coordination among various concerned government agencies and supporting mechanisms. Currently, the development of a unified national carbon market has been impeded by the lack of coordination among local pilot programs, and there is no specific law passed by the People’s Congress or by its Standing Committee to regulate the emerging carbon trading market. It is of vital importance for China, in terms of both practical and strategic aspects, to take a gradualist approach in establishing laws and institutions to guide and support the development of its emerging carbon market.

Research limitations/implications

This present study forms a part of a regional research project aiming to identify sound policy approaches for the establishment of a carbon trading market in China. Due to scope reasons, it focuses only on policy analysis and recommendations.

Originality/value

China’s emerging national carbon trading market has attracted much research attention. However, little has been done from the perspectives of legislations and policies.

Details

International Journal of Climate Change Strategies and Management, vol. 9 no. 2
Type: Research Article
ISSN: 1756-8692

Keywords

Content available
Article
Publication date: 28 October 2014

Abstract

Details

China Agricultural Economic Review, vol. 6 no. 4
Type: Research Article
ISSN: 1756-137X

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Article
Publication date: 17 December 2019

Meng Lu, Yang Qiang, Du Jiangang and Dong Zerui

The purpose of this paper is to examine the interaction effect of innovative product category and presentation order on consumer consumer’s purchasing intention and the…

Abstract

Purpose

The purpose of this paper is to examine the interaction effect of innovative product category and presentation order on consumer consumer’s purchasing intention and the mediating role of perceived novelty and risk perception.

Design/methodology/approach

The authors examined the hypotheses in three experiment studies. In Study 1, the authors primed innovative product category and presentation order on consumer consumer’s purchasing intention. In Study 2, the authors measured the mediating role of perceived novelty and risk perception. In Study 3, they validated the moderating effect of picture and text consistency on the improvement of purchase preference.

Findings

The results reveal that RNP/INP and presentation order (from whole to part/from part to whole) could enhance consumers’ purchase intention and verify the mediating role of perceived novelty and risk perception, based on which a complete internal mechanism model is constructed. The third experiment shows the moderating effect of picture and text consistency on the improvement of purchase preference by matching the category and presentation order of innovative products.

Originality/value

Prior literature on the thinking mode of holistic and partial processing has been mostly applied to the cognitive field of reading and text labeling. In this study, using the holistic (local) processing thinking model and anchoring theory, eye movement experiments and situational experiments, the audience’s analysis framework of information processing mechanism is constructed. The unique phenomenon of product category and overall (local) presentation order coexisting in innovative product advertisement is considered comprehensively.

Details

Journal of Contemporary Marketing Science, vol. 2 no. 3
Type: Research Article
ISSN: 2516-7480

Keywords

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