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1 – 10 of 14Lin Jiang, Svetlana N. Khapova, Wenjing Cai and Xiaopei Gao
Responding to the call for more research on the consequences of grit, this study aims to examine the relationship between grit and employees’ perceived employability. Drawing on…
Abstract
Purpose
Responding to the call for more research on the consequences of grit, this study aims to examine the relationship between grit and employees’ perceived employability. Drawing on the self-determination theory, the authors hypothesize that job involvement and team member proactivity sequentially mediate the relationship between grit and employability.
Design/methodology/approach
A time-lagged research design with a one-month interval was conducted to collect data from three public sector organizations in China (N = 484). The model was tested using confirmatory factor analysis, correlation analysis and the PROCESS bootstrapping program in SPSS25.0 and AMOS21.0 software.
Findings
The findings reveal that the positive effect of grit on employability is mediated by job involvement and team member proactivity sequentially.
Originality/value
The authors contribute to the literature on the employability outcomes of grit. It is also one of a few studies that use a job perspective on the grit−employability relationship.
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Jiangnan Qiu, Wenjing Gu, Zhongming Ma, Yue You, Chengjie Cai and Meihui Zhang
In the extant research on online knowledge communities (OKCs), little attention has been paid to the influence of membership fluidity on the coevolution of the social and…
Abstract
Purpose
In the extant research on online knowledge communities (OKCs), little attention has been paid to the influence of membership fluidity on the coevolution of the social and knowledge systems. This article aims to fill this gap.
Design/methodology/approach
Based on the attraction-selection-attrition (ASA) framework, this paper constructs a simulation model to study the coevolution of these two systems under different levels of membership fluidity.
Findings
By analyzing the evolution of these systems with the vector autoregression (VAR) method, we find that social and knowledge systems become more orderly as the coevolution progresses. Furthermore, in communities with low membership fluidity, the microlevel of the social system (i.e. users) drives the coevolution, whereas in communities with high membership fluidity, the microlevel of the knowledge system (i.e. users' views) drives the coevolution.
Originality/value
This paper extends the application of the ASA framework and enriches the literature on membership fluidity of online communities and the literature on driving factors for coevolution of the social and knowledge systems in OKCs. On a practical level, our work suggests that community administrators should adopt different strategies for different membership fluidity to efficiently promote the coevolution of the social and knowledge systems in OKCs.
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Xiaoyu Yu, Wenjing Zhao and Yida Tao
The entrepreneurial process often cannot be explained by a single entrepreneurial theory. Instead, it is more likely the result of the interaction between various entrepreneurial…
Abstract
Purpose
The entrepreneurial process often cannot be explained by a single entrepreneurial theory. Instead, it is more likely the result of the interaction between various entrepreneurial behavior patterns and different environmental conditions. However, existing research has frequently overlooked the complexity inherent in the entrepreneurial phenomenon. Building on a configurational perspective, this study aims to examine how new ventures can use different behavioral configurations to achieve high performance amid various uncertain environments.
Design/methodology/approach
Based on the survey data from 143 new start-ups in China’s software industry, this study uses fuzzy-set qualitative comparative analysis (fsQCA).
Findings
This study jointly considers multiple entrepreneurial behaviors − causation, effectuation and entrepreneurial bricolage and different types of environmental uncertainty − state uncertainty, effect uncertainty and response uncertainty. The findings reveal three behavioral configurations for high/nonhigh new venture performance.
Originality/value
This study expands previous insights into the relationship between entrepreneurial behaviors and new venture performance from the perspective of configurational theory. Moreover, it offers new insights into the types of uncertainty, further refining our understanding of the uncertainties inherent in entrepreneurial activities.
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Jingyu Dong, Beth Clark, Wenjing Li, Shan Jin and Lynn J Frewer
Unhealthy diets are associated with an increased risk of non-communicable diseases and present a significant public health challenge. When developing effective interventions and…
Abstract
Purpose
Unhealthy diets are associated with an increased risk of non-communicable diseases and present a significant public health challenge. When developing effective interventions and policies, consideration must be given to the unique social culture in which food choice is embedded. Health vulnerabilities to poor nutrition exist throughout life but may be influenced by socio-cultural factors such as age. This study aimed to assess the attitudes of older or younger Chinese consumers towards healthy eating and explore the factors influencing their food choices.
Design/methodology/approach
Semi-structured interviews were conducted in Wuhan, China, with 20 consumers aged 18–25 (Group A) and 20 consumers aged 65 and over (Group B).
Findings
Thematic analysis revealed that the two groups had positive attitudes towards healthy eating, although Group A participants were more knowledgeable. Time pressure, food prices and social networks differentially influence healthy eating practices across age groups.
Originality/value
Given China’s economic and cultural context, healthy eating interventions should consider the individual characteristics and food preferences of the different age groups. This approach can optimize targeted healthy eating interventions, and media communications related to healthy eating.
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Wenjing Han, Zhengfeng Zhang and Xiaoling Zhang
Farmland transfer choice is strongly associated with the livelihood strategies of rural households. The 2014 Three Property Rights Separation (TPRS) reform has legalized farmland…
Abstract
Purpose
Farmland transfer choice is strongly associated with the livelihood strategies of rural households. The 2014 Three Property Rights Separation (TPRS) reform has legalized farmland transfer practices in rural China, hence stimulating the farmland transfer market at the national scale. This paper aims to determine the extent to which rural family livelihood strategies are influenced by their participation decision in farmland transfer practices. Further, the authors examined the effectiveness of the TPRS reform on the impact of farmland transfer participation on rural household livelihood strategy choices.
Design/methodology/approach
Based on the sustainable livelihood approach (SLA) using data from a national rural household survey, the authors employ the logit model and the propensity score matching (PSM) method to estimate the impact of household farmland transfer participation. Its interaction effects with household livelihood capital on their livelihood strategy choices and diversification level are also investigated. The difference-in-difference (DID) model is employed to assess the effectiveness of the TPRS reform.
Findings
The results indicate that the participation in transferred-out farmland could improve rural households' non-agricultural livelihood strategies. While the participation in transferred-in farmland could improve the probability of rural families' engaging in pure-agricultural (PA) or agricultural-dependent (AD) livelihood strategies, the TPRS reform can attract specialized farmers to increase their farm size through the market solutions and encourage small farmers to leave their farmland to engage in more off-farm work.
Originality/value
This study contributes to the literature on farmers' livelihood by exploring the role of farmland transfer decision and the effectiveness of 2014 TPRS reform through the SLA approach.
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Wenjing Li and Zhi Liu
In 2016, the Chinese central government decentralized the responsibilities of housing market regulation to the municipal level. This paper aims to assess whether the decentralized…
Abstract
Purpose
In 2016, the Chinese central government decentralized the responsibilities of housing market regulation to the municipal level. This paper aims to assess whether the decentralized market regulation is effective.
Design/methodology/approach
This study first investigates the fundamental drivers of urban housing prices in China. Taking into consideration the factors driving housing prices, the authors further investigate the effectiveness of decentralized housing market regulation by a pre- and post-policy comparison test using a panel data set of 35 major cities for the years from 2014 to 2019.
Findings
The results reveal heterogenous policy effects on housing price growth among cities with a one-year lag in effectiveness. With the decentralized housing market regulation, cities with fast price growth are incentivized to implement tightening measures, while cities with relatively low housing prices and slow price growth are more likely to do nothing or deregulate the markets. The findings indicate that the shift from a centralized housing market regulation to a decentralized one is more appropriate and effective for the individual cities.
Originality/value
Few policy evaluation studies have been done to examine the effects of decentralized housing market regulation on the performance of urban housing markets in China. The authors devise a methodology to conduct a policy evaluation that is important to inform public policy and decisions. This study helps enhance the understanding of the fundamental factors in China’s urban housing markets and the effectiveness of municipal government interventions.
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Wenjing Wang, Moting Wang and Yizhi Dong
The paper's purpose is to investigate the effects of digital finance on the risk of stock price crashes and the underlying transmission mechanisms, and to provide suggestions to…
Abstract
Purpose
The paper's purpose is to investigate the effects of digital finance on the risk of stock price crashes and the underlying transmission mechanisms, and to provide suggestions to inhibit the stock crash risk (CR).
Design/methodology/approach
This paper selects all companies that were listed on the Shanghai Stock Exchange and the Shenzhen Stock Exchange from 2011 to 2020. It then uses the two-way fixed effect model and the intermediary effect model to verify such effects.
Findings
The overall outcomes demonstrate such a result that the CR of listed companies in China can be significantly reduced by the development of digital finance, and the overall transparency of business financial information and the equity pledge of controlling shareholders are the two underlying transmission mechanisms that digital finance can cause effects on the CR of stocks.
Research limitations/implications
The main limitations are that there may exist some problems in the method for evaluating the CR of stocks. And there may be a problem of endogeneity caused by the empirical model cannot control all correlation variables.
Practical implications
This paper would provide policy implications, for different roles, to inhibit the stock CR and to make the development of the economy more stabilize.
Social implications
Digital finance can promote economic development while restraining financial risks at the same time. Therefore, although this study is based on the relevant data from China, it can also provide a reference for other economies with different basic conditions from China, to promote the overall development of the world economy.
Originality/value
The current academic research on digital finance or stock price CR has been relatively sufficient, but there are few papers that combined both. By combining digital finance with stock CR, this paper researches the influence of digital finance on the CR of stocks through empirical analysis. So, this paper would provide new research ideas and evidence for potential influence factors of the CR of stocks, fill the gap in this research field and provide certain help for subsequent scholars to conduct relevant research.
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Wenjing Guo, Yuan Jiang, Wei Zhang and Haizhen Wang
Research on the effects of feedback frequency has reported mixed findings. To tackle this problem, the current study focuses on specific feedback signs (i.e. negative feedback)…
Abstract
Purpose
Research on the effects of feedback frequency has reported mixed findings. To tackle this problem, the current study focuses on specific feedback signs (i.e. negative feedback). By integrating the face management theory and attribution theory, this study examined the mediating effect of trust in supervisors and the moderating effect of employee-attributed performance promotion motives for negative feedback.
Design/methodology/approach
A field study with 176 participants and two supplemental experiments with 143 and 100 participants, respectively, were conducted to test the theoretical model.
Findings
Results revealed that the frequency of supervisory negative feedback negatively influenced employees’ trust in supervisors, which in turn influenced employees’ perceptions of feedback utility and learning performance. These indirect effects can be alleviated when employees have high degrees of performance promotion attribution for supervisor motives.
Originality/value
This research extends feedback research by integrating feedback frequency with a specific sign of feedback and revealing a moderated mediation effect of the negative feedback frequency.
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Zhe Liu, Wei Chen, Desheng Li and Wenjing Zhang
In high-speed processing, the influence on the machining accuracy of a machine tool is greatly caused by the thermal deformation of the motorized spindle; a further study on the…
Abstract
Purpose
In high-speed processing, the influence on the machining accuracy of a machine tool is greatly caused by the thermal deformation of the motorized spindle; a further study on the thermal characteristics of the spindle is given in this paper. This study aims to reduce the thermal error and improve the performance of the machine tool by discussing the relationships between the temperature distributions and rotating accuracy caused by the thermal deformations of the spindle.
Design/methodology/approach
The paper opted for a method combining the theoretical analysis and the experimental study to study the thermal stability of the high-speed motorized spindle. First of all, a finite element model of the spindle was built with ANSYS, whereby temperature distributions and the thermal deformations were successively obtained at different speeds. And then, both the temperature field and the rotating accuracy of the motorized spindle were measured simultaneously by the thermal stability experiment. Finally, the experimental and theoretical results were compared and validated.
Findings
The thermal stability of the motorized spindle was studied in this paper, and some findings from the study were as follows: the spindle’s rotating accuracy maintained good in X direction but bad in Y and Z directions in terms of the deformations; the higher front-end temperature of the spindle which can significantly affect the rotating accuracy is needed to be controlled mainly; the recovery speed of the spindle deformation lagged behind the temperature’s fallback speed; the vibration graph about radial rotating sensitivity synthesized by X1 and X2 presented a trifoliate shape.
Originality/value
Based on a built test-bed which can synchronously measure the motorized spindle’s temperature distribution and rotating accuracy with five-point method, the coupling effects of the thermal deformation and temperature are embodied, and not only the vibration graph but also the thermal tilt angles can be gained. Therefore, considering the influence of the thermal deformation on the heat generated by the bearings, the paper fulfilled a study by which it was obtained that the front-end temperature of the spindle, which was higher and could significantly affect the rotating accuracy, needed to be controlled mainly.
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Xuesong Cao, Xican Li, Wenjing Ren, Yanan Wu and Jieya Liu
This study aims to improve the accuracy of hyperspectral estimation of soil organic matter content.
Abstract
Purpose
This study aims to improve the accuracy of hyperspectral estimation of soil organic matter content.
Design/methodology/approach
Based on the uncertainty in spectral estimation, 76 soil samples collected in Zhangqiu District, Jinan City, Shandong Province, were studied in this paper. First, the spectral transformation of the spectral data after denoising was carried out by means of 11 transformation methods such as reciprocal and square, and the estimation factor was selected according to the principle of maximum correlation. Secondly, the grey weighted distance was used to calculate the grey relational degree between the samples to be estimated and the known patterns, and the local linear regression estimation model of soil organic matter content was established by using the pattern samples closest to the samples to be identified. Thirdly, the models were optimized by gradually increasing the number of modeling samples and adjusting the decision coefficient, and a comprehensive index was constructed to determine the optimal predicted value. Finally, the determination coefficient and average relative error are used to evaluate the validity of the model.
Findings
The results show that the maximum correlation coefficient of the seven estimated factors selected is 0.82; the estimation results of 14 test samples are of high accuracy, among which the determination coefficient R2 = 0.924, and the average relative error is 6.608%.
Practical implications
Studies have shown that it is feasible and effective to estimate the content of soil organic matter by using grey correlation local linear regression model.
Originality/value
The paper succeeds in realizing both the soil organic matter hyperspectral grey relation estimating pattern based on the grey relational theory and the estimating pattern by using the local linear regression.
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