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Article
Publication date: 3 September 2019

Xi Wang, Wuyu Wang, Yibo Chai, Yang Wang and Ning Zhang

The purpose of this paper is to construct a multi-relational network for an online sharing platform in the age of the sharing economy, to identify the factors impacting…

Abstract

Purpose

The purpose of this paper is to construct a multi-relational network for an online sharing platform in the age of the sharing economy, to identify the factors impacting users’ product adoption behavior and to predict consumers’ purchases of user-generated products on the platform.

Design/methodology/approach

The study conducted multi-relational network analyses of five different sub-networks in identifying influential factors for e-book adoption. Meanwhile, the study adopted machine learning methods with different classification algorithms and feature sets to predict users’ purchasing behaviors.

Findings

The authors found that an individual’s adoption of a product was correlated with his or her purchasing habits and collaboration with others on the online sharing platform. Through the inclusion of network features, the authors were able to build a predictive model that forecasted consumers’ purchases of user-generated e-books with reasonable accuracy.

Research limitations/implications

The interdisciplinary approach used in the study can serve as a good reference for identifying factors impacting the product adoption behavior of users in the online sharing platform, through employing different sociological and computational methods.

Practical implications

The outcome of the study has provided important managerial implications, especially for the design of social commerce platform in the age of the sharing economy.

Social implications

The authors verified the social influence impacting consumers’ product adoption behavior and shed light on the value of collaboration in the age of the sharing economy.

Originality/value

The study was the first to identify user-generated e-book adoption on an online sharing platform from a multi-relational network perspective. The idea and the approach supplied a new method of behavioral analysis in the context of a sharing economy.

Details

Information Technology & People, vol. 33 no. 3
Type: Research Article
ISSN: 0959-3845

Keywords

Expert briefing
Publication date: 22 June 2017
Expert Briefings Powered by Oxford Analytica

Prospects for China to end-2017

Prospects for China in the second half of 2017.

Details

DOI: 10.1108/OXAN-DB221676

ISSN: 2633-304X

Keywords

Geographic
Topical
Article
Publication date: 8 January 2018

Ying Guo, Dongpo Xia, Binghua Sun, Xi Wang, Dao Zhang and Jinhua Li

Because natural resource utilization is a predictor of sustainable development, an evaluation of the efficiency of resource utilization is critical for assessing…

Abstract

Purpose

Because natural resource utilization is a predictor of sustainable development, an evaluation of the efficiency of resource utilization is critical for assessing developmental potentiality. The purpose of this paper is to apply three-dimensional (3D) ecological footprint theory to assess the effects of production and consumption on ecological systems in Hefei, China.

Design/methodology/approach

Using data for Hefei for the period 2005-2014, an ecological footprint model (EFM) was developed to calculate the area’s ecological footprint (EF), ecological carrying (EC) capacity and obtain two indices, namely, footprint depth and size. The relationship between economic development and natural resource utilization was subsequently evaluated based on the calculated ecological deficit and the EF demand per Renminbi 10,000 of gross domestic product (GDP).

Findings

Over the last decade, Hefei’s EF per capita evidenced a 9.87 percent growth rate, increasing from 1.16 hm2/person in 2005 to 2.70 hm2/person in 2014. EC capacity per capita increased from 0.21 hm2/person in 2005 to 0.36 hm2/person in 2014, evidencing a gradually increasing trend at an average annual growth rate of 6.24 percent. Thus, between 2005 and 2014, the ecological deficit increased annually by three times. The amplification of footprint depth significantly exceeded that of footprint size. Between 2005 and 2014, Hefei’s EF per capita Renminbi 10,000 of GDP decreased annually by 4.68 percent. Thus, energy consumption in Hefei exceeded the natural regeneration capacity of energy resources, with excessive development and resource utilization impacting on the regional ecological system.

Practical implications

The application of a 3D EFM sheds light on natural resource utilization within regional development. Moreover, footprint depth and size are significant predictors of the impacts of natural resource utilization. These findings will also benefit other countries or cities.

Originality/value

This is one of the first empirical studies to apply a 3D EFM to evaluate the relationship between natural resource utilization and economic development. Adopting a sustainable development framework, it provides insights into the effects of natural resource utilization in relation to the balance between the natural ecological system and economic development. This has far-reaching implications beyond Hefei and China.

Details

Management of Environmental Quality: An International Journal, vol. 29 no. 1
Type: Research Article
ISSN: 1477-7835

Keywords

Article
Publication date: 1 September 2022

Qilan Li, Zhiya Zuo, Yang Zhang and Xi Wang

Since the opening of China (aka, reform and opening-up), a great number of rural residents have migrated to large cities in the past 40 years. Such a one-way population…

Abstract

Purpose

Since the opening of China (aka, reform and opening-up), a great number of rural residents have migrated to large cities in the past 40 years. Such a one-way population inflow to urban areas introduces nontrivial social conflicts between urban natives and migrant workers. This study aims to investigate the most discussed topics about migrant workers on Sina Weibo along with the corresponding sentiment divergence.

Design/methodology/approach

An exploratory-descriptive-explanatory research methodology is employed. The study explores the main topics on migrant workers discussed in social media via manual annotation. Subsequently, guided LDA, a semi-supervised topic modeling approach, is applied to describe the overall topical landscape. Finally, the authors verify their theoretical predictions with respect to the sentiment divergence pattern for each topic, using regression analysis.

Findings

The study identifies three most discussed topics on migrant workers, namely wage default, employment support and urban/rural development. The regression analysis reveals different diffusion patterns contingent on the nature of each topic. In particular, this study finds a positive association between urban/rural development and the sentiment divergence, while wage default exhibits an opposite relationship with sentiment divergence.

Originality/value

The authors combine unique characteristics of social media with well-established theories of social identity and framing, which are applied more to off-line contexts, to study a unique phenomenon of migrant workers in China. From a practical perspective, the results provide implications for the governance of urbanization-related social conflicts.

Details

Internet Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 14 March 2019

Xuebiao Wang, Xi Wang, Bo Li and Zhiqi Bai

The purpose of this paper is to consider that the model of volatility characteristics is more reasonable and the description of volatility is more explanatory.

Abstract

Purpose

The purpose of this paper is to consider that the model of volatility characteristics is more reasonable and the description of volatility is more explanatory.

Design/methodology/approach

This paper analyzes the basic characteristics of market yield volatility based on the five-minute trading data of the Chinese CSI300 stock index futures from 2012 to 2017 by Hurst index and GPH test, A-J and J-O Jumping test and Realized-EGARCH model, respectively. The results show that the yield fluctuation rate of CSI300 stock index futures market has obvious non-linear characteristics including long memory, jumpy and asymmetry.

Findings

This paper finds that the LHAR-RV-CJ model has a better prediction effect on the volatility of CSI300 stock index futures. The research shows that CSI300 stock index futures market is heterogeneous, means that long-term investors are focused on long-term market fluctuations rather than short-term fluctuations; the influence of the short-term jumping component on the market volatility is limited, and the long jump has a greater negative influence on market fluctuation; the negative impact of long-period yield is limited to short-term market fluctuation, while, with the period extending, the negative influence of long-period impact is gradually increased.

Research limitations/implications

This paper has research limitations in variable measurement and data selection.

Practical implications

This study is based on the high-frequency data or the application number of financial modeling analysis, especially in the study of asset price volatility. It makes full use of all kinds of information contained in high-frequency data, compared to low-frequency data such as day, weekly or monthly data. High-frequency data can be more accurate, better guide financial asset pricing and risk management, and result in effective configuration.

Originality/value

The existing research on the futures market volatility of high frequency data, mainly focus on single feature analysis, and the comprehensive comparative analysis on the volatility characteristics of study is less, at the same time in setting up the model for the forecast of volatility, based on the model research on the basic characteristics is less, so the construction of a model is relatively subjective, in this paper, considering the fluctuation characteristics of the model is more reasonable, characterization of volatility will also be more explanatory power. The difference between this paper and the existing literature lies in that this paper establishes a prediction model based on the basic characteristics of market return volatility, and conducts a description and prediction study on volatility.

Details

China Finance Review International, vol. 10 no. 2
Type: Research Article
ISSN: 2044-1398

Keywords

Article
Publication date: 4 November 2021

Hong Jiang, Kazuyuki Motohashi, Wentao Liu and Xu Zhang

This study aims to investigate the relevance of knowledge-oriented leadership (KOL) to technology standard innovation (TSI) from a temporary-team perspective. The…

Abstract

Purpose

This study aims to investigate the relevance of knowledge-oriented leadership (KOL) to technology standard innovation (TSI) from a temporary-team perspective. The mediating and moderating effect on knowledge integration (KI) and leader–member exchange (LMX) is emphasized.

Design/methodology/approach

The conceptual model is built based on an exhaustive literature review and is empirically tested in terms of a sample of 341 Chinese individuals with TSI experience. Quantitative analysis was performed using a questionnaire with the bootstrapping method used to demonstrate the mediating effect of KI.

Findings

The empirical results of this study prove that KI mediates the relationship between KOL and TSI. The authors deduce that LMX moderates the positive relation between KOL and KI.

Originality/value

Few studies have investigated the innovation activities of technology standards from a temporary-team perspective. To the best of the authors’ knowledge, this is the first study to look into the underlying mechanism of KOL in TSI. This research deepens the analysis by introducing LMX’s moderating role in the innovation process of technology standards, thereby providing valuable insights for leaders of innovation activities of technology standards and illuminating new aspects of knowledge-intensive temporary-team management.

Details

Journal of Knowledge Management, vol. 26 no. 8
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 8 January 2021

Ying Qi, Xiangyang Wang, Yujia Li, Gongyi Zhang and Huiqi Jin

The study adopts congruence theory to explore the structure of inter-organizational compatibility and its structural effects on knowledge transfer in cross-border merger…

Abstract

Purpose

The study adopts congruence theory to explore the structure of inter-organizational compatibility and its structural effects on knowledge transfer in cross-border merger and acquisitions (M&As).

Design/methodology/approach

This paper built a moderated-mediation model that presented the relationship between inter-organizational compatibility and knowledge transfer. Regression analysis was conducted with 182 samples from China to examine the model and hypotheses.

Findings

The results indicate that inter-organizational compatibility is a four-dimensional construct comprising culture, strategy, routine and knowledge. Additionally, inter-organizational compatibility has structural effects on knowledge transfer. Specifically, routine compatibility mediates the relationships between cultural compatibility and knowledge transfer and between strategic compatibility and knowledge transfer. Moreover, the mediating roles are moderated by knowledge compatibility.

Originality/value

This study updates the construct and provides a comprehensive and fresh understanding of inter-organizational compatibility. Additionally, it presents the structural effects of inter-organizational compatibility on knowledge transfer.

Article
Publication date: 5 April 2022

Xiangyang Wang, Jiamin Li and Ying Qi

This paper aims to adopt the knowledge-based view and social network theory to investigate the relationship between network capability ambidexterity and knowledge creation…

Abstract

Purpose

This paper aims to adopt the knowledge-based view and social network theory to investigate the relationship between network capability ambidexterity and knowledge creation (KC) in the context of open innovation. It also examines the moderating effects of innovation climate on this relationship.

Design/methodology/approach

This paper developed a model including network capability ambidexterity, innovation climate and KC. A total of 463 samples were collected from China to test the model and hypotheses by SEM.

Findings

The empirical results indicate that network capability ambidexterity is the crucial antecedent of KC. Specifically, network capability ambidexterity consists of the balanced and combined dimensions that both have significant and positive effects on KC. More importantly, the balanced dimension has a stronger effect on KC than the combined. In addition, an innovation climate positively moderates the effects of network capability ambidexterity and KC.

Originality/value

This study advances a new understanding of how network capability ambidexterity influences KC. Moreover, investigating the relationships should provide fresh insights into network capabilities and KC for practitioners in the open innovation context.

Details

Journal of Knowledge Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 29 July 2014

Lin Zhang and Xiaojun Zhang

The aim of this research is to explore the behavioral model of Chinese organizational leaders acquiring resources for the development of their organizations under the…

Abstract

Purpose

The aim of this research is to explore the behavioral model of Chinese organizational leaders acquiring resources for the development of their organizations under the influence of hierarchically oriented social governance.

Design/methodology/approach

The paper compares the differences between Western and Chinese contexts and conducts a grounded multi-case study to explore leadership behavioral model in the Chinese context.

Findings

First, the Chinese social governance structure is hierarchically oriented, whereas the Western social governance structure is market oriented. Second, this unique inconformity found in the Chinese organizational leaders as contorted leadership, which refers to the inconsistency between leaders’ cognition and their behavior when acquiring resources for the development of their organizations, is defined. Third, the conflict between leaders’ cognition and behaviors is caused by the social governance mechanism within which leaders are embedded.

Research limitations/implications

The authors have just made a first step to understand contorted leadership in the Chinese context, further researches should pay more attention to exploring the origins, functions and impacts of leaders’ contorted behaviors.

Originality/value

First, leadership is linked with social governance by emphasizing on the core role of social governance in allocating the resources which organizational leaders scramble for. Second, a new kind of leadership –contorted leadership – in the Chinese context that emphasizes on the contradiction between leaders’ cognition and behavior, which deepens the understanding of leadership contextualization, is identified.

Details

Chinese Management Studies, vol. 8 no. 3
Type: Research Article
ISSN: 1750-614X

Keywords

Article
Publication date: 31 December 2020

Xing Xie, Zhenlin Li, Baoshan Zhu and Hong Wang

This study aims to complete the optimization design of a centrifugal impeller with both high aerodynamic efficiency and good structural machinability.

Abstract

Purpose

This study aims to complete the optimization design of a centrifugal impeller with both high aerodynamic efficiency and good structural machinability.

Design/methodology/approach

First, the design parameters were derived from the blade loading distribution and the meridional geometry in the impeller three-dimensional (3D) inverse design. The blade wrap angle at the middle span surface and the spanwise averaged blade angle at the blade leading edge obtained from inverse design were chosen as the machinability objectives. The aerodynamic efficiency obtained by computational fluid dynamics was selected as the aerodynamic performance objective. Then, using multi-objective optimization with the optimal Latin hypercube method, quadratic response surface methodology and the non-dominated sorting genetic algorithm, the trade-off optimum impellers with small blade wrap angles, large blade angles and high aerodynamic efficiency were obtained. Finally, computational fluid dynamics and computer-aided manufacturing were performed to verify the aerodynamic performance and structural machinability of the optimum impellers.

Findings

Providing the fore maximum blade loading distribution at both the hub and shroud for the 3D inverse design helped to promote the structural machinability of the designed impeller. A straighter hub coupled with a more curved shroud also facilitated improvement of the impeller’s structural machinability. The preferred impeller was designed by providing both the fore maximum blade loading distribution at a relatively straight hub and a curved shroud for 3D inverse design.

Originality/value

The machining difficulties of the designed high-efficiency impeller can be reduced by reducing blade wrap angle and enlarging blade angle at the beginning of impeller design. It is of practical value in engineering by avoiding the follow-up failure for the machining of the designed impeller.

Details

Engineering Computations, vol. 38 no. 6
Type: Research Article
ISSN: 0264-4401

Keywords

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