Jiaming Zhang and Xiangrong Deng
This study aims to empirically analyze how interest rate liberalization affects bank liquidity creation, and investigate whether the relationship between them is linear.
Abstract
Purpose
This study aims to empirically analyze how interest rate liberalization affects bank liquidity creation, and investigate whether the relationship between them is linear.
Design/methodology/approach
Based on panel data on 145 banks in China over the period 1997–2015, this paper regresses the econometric model by conducting feasible generalized least square estimation.
Findings
The regression results show that, first, interest rate liberalization has a nonlinear impact on bank liquidity creation, and the relationship between them is inverted U-shaped. In other words, as interest rate liberalization progresses, bank liquidity creation increases first, and then decreases. Second, through the mediation effect tests, this study found that interest rate liberalization affects bank liquidity creation through bank risk-taking. That is, interest rate liberalization leads to changes in bank risk-taking, thus resulting in changes in bank liquidity creation.
Research limitations/implications
The effect of interest rate liberalization on bank liquidity creation is nonlinear, so promoting interest rate liberalization faces a trade-off because excessive bank liquidity creation may lead to asset price bubbles, while insufficient bank liquidity creation may inhibit economic growth.
Practical implications
Interest rate liberalization has a significant impact on bank liquidity creation; therefore, bank liquidity creation should be added to the objective function of the regulator that determines interest rate liberalization reform in China.
Social implications
Interest rate liberalization has a direct impact on bank risk-taking, so the consequences of interest rate liberalization should be included in the framework of macro-prudential supervision.
Originality/value
Interest rate liberalization is one of the most important financial reforms in China, yet its potential impact on firm-level bank liquidity is little explored. This paper attempts to fill the gap.
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Ani Dong, Zusheng Zhang and Jiaming Chen
Magnetic sensors have recently been proposed for parking occupancy detection. However, there has adjacent interference problem, i.e. the magnetic signal is easy to be interfered…
Abstract
Purpose
Magnetic sensors have recently been proposed for parking occupancy detection. However, there has adjacent interference problem, i.e. the magnetic signal is easy to be interfered by the vehicles which are parking on adjacent spaces. The purpose of this paper is to propose a sensing algorithm to eliminate the adjacent interference.
Design/methodology/approach
The magnetic signals are converted to the pattern representation sequences, and the similarity is calculated using the pattern distance. The detection algorithm includes two levels: local decision and data fusion. In the local decision level, the sampled signals can be divided into three classes: vacant, occupied and uncertain. Then a collaborative decision is used to fusion the signals which belong to the uncertain class for the second level.
Findings
An experiment system included 60 sensor nodes that were deployed on bay parking spaces. Experiment results show that the proposed algorithm has better detection accuracy than existing algorithms.
Originality/value
This paper proposes a data fusion algorithm to eliminate adjacent interference. To balance the energy consumption and detection accuracy, the algorithm includes two levels: local decision and data fusion. In most of cases, the local decision can obtain the accurate detection result. Only the signals that cannot be correctly detected at the local level need data fusion operation.
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Peng Ouyang, Jiaming Liu and Xiaofei Zhang
Free knowledge sharing in the online health community has been widely documented. However, whether free knowledge sharing can help physicians accumulate popularity and further the…
Abstract
Purpose
Free knowledge sharing in the online health community has been widely documented. However, whether free knowledge sharing can help physicians accumulate popularity and further the accumulated popularity can help physicians attract patients remain unclear. To unveil these gaps, this study aims to examine how physicians' popularity are affected by their free knowledge sharing, how the relationship between free knowledge sharing and popularity is moderated by professional capital, and how the popularity finally impacts patients' attraction.
Design/methodology/approach
The authors collect a panel dataset from Hepatitis B within an online health community platform with 10,888 observations from April 2020 to August 2020. The authors develop a model that integrates free knowledge sharing, popularity, professional capital, and patients' attraction. The hierarchical regression model is used to for examining the impact of free knowledge sharing on physicians' popularity and further investigating the impact of popularity on patients' attraction.
Findings
The authors find that the quantity of articles acted as the heuristic cue and the quality of articles acted as the systematic cue have positive effect on physicians' popularity, and this effect is strengthened by physicians' professional capital. Furthermore, physicians' popularity positively influences their patients' attraction.
Originality/value
This study reveals the aggregation of physicians' popularity and patients' attraction within online health communities and provides practical implications for managers in online health communities.
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Jiaming Liu, Liuan Wang, Linan Zhang, Zeming Zhang and Sicheng Zhang
The primary objective of this study was to recognize critical indicators in predicting blood glucose (BG) through data-driven methods and to compare the prediction performance of…
Abstract
Purpose
The primary objective of this study was to recognize critical indicators in predicting blood glucose (BG) through data-driven methods and to compare the prediction performance of four tree-based ensemble models, i.e. bagging with tree regressors (bagging-decision tree [Bagging-DT]), AdaBoost with tree regressors (Adaboost-DT), random forest (RF) and gradient boosting decision tree (GBDT).
Design/methodology/approach
This study proposed a majority voting feature selection method by combining lasso regression with the Akaike information criterion (AIC) (LR-AIC), lasso regression with the Bayesian information criterion (BIC) (LR-BIC) and RF to select indicators with excellent predictive performance from initial 38 indicators in 5,642 samples. The selected features were deployed to build the tree-based ensemble models. The 10-fold cross-validation (CV) method was used to evaluate the performance of each ensemble model.
Findings
The results of feature selection indicated that age, corpuscular hemoglobin concentration (CHC), red blood cell volume distribution width (RBCVDW), red blood cell volume and leucocyte count are five most important clinical/physical indicators in BG prediction. Furthermore, this study also found that the GBDT ensemble model combined with the proposed majority voting feature selection method is better than other three models with respect to prediction performance and stability.
Practical implications
This study proposed a novel BG prediction framework for better predictive analytics in health care.
Social implications
This study incorporated medical background and machine learning technology to reduce diabetes morbidity and formulate precise medical schemes.
Originality/value
The majority voting feature selection method combined with the GBDT ensemble model provides an effective decision-making tool for predicting BG and detecting diabetes risk in advance.
Details
Keywords
Yifan Guo, Yanling Guo, Jian Li, Yangwei Wang, Deyu Meng, Haoyu Zhang and Jiaming Dai
Selective laser sintering (SLS) is an essential technology in the field of additive manufacturing. However, SLS technology is limited by the traditional point-laser sintering…
Abstract
Purpose
Selective laser sintering (SLS) is an essential technology in the field of additive manufacturing. However, SLS technology is limited by the traditional point-laser sintering method and has reached the bottleneck of efficiency improvement. This study aims to develop an image-shaped laser sintering (ISLS) system based on a digital micromirror device (DMD) to address this problem. The ISLS system uses an image-shaped laser light source with a size of 16 mm × 25.6 mm instead of the traditional SLS point-laser light source.
Design/methodology/approach
The ISLS system achieves large-area image-shaped sintering of polymer powder materials by moving the laser light source continuously in the x-direction and updating the sintering pattern synchronously, as well as by overlapping the splicing of adjacent sintering areas in the y-direction. A low-cost composite powder suitable for the ISLS system was prepared using polyether sulfone (PES), pinewood and carbon black (CB) powders as raw materials. Large-sized samples were fabricated using composite powder, and the microstructure, dimensional accuracy, geometric deviation, density, mechanical properties and feasible feature sizes were evaluated.
Findings
The experimental results demonstrate that the ISLS system is feasible and can print large-sized parts with good dimensional accuracy, acceptable geometric deviations, specific small-scale features and certain density and mechanical properties.
Originality/value
This study has achieved the transition from traditional point sintering mode to image-shaped surface sintering mode. It has provided a new approach to enhance the system performance of traditional SLS.
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Keywords
Jiaming Liu, Chong Wu and Tianyi Su
The purpose of this paper is to discuss the role of reference effect on newsvendor’s decision behavior in a market with strategic customers and work out the newsvendor’s optimal…
Abstract
Purpose
The purpose of this paper is to discuss the role of reference effect on newsvendor’s decision behavior in a market with strategic customers and work out the newsvendor’s optimal pricing policy and ordering quantity.
Design/methodology/approach
This study utilizes the prospect theory and strategic customer framework to analyze the decision-making behavior on the newsvendor’s optimal pricing policy and ordering quantity. The paper further presents an extension of newsvendor model and provides the model’s properties. The paper finally analyzes the results with various parameters on the model and reports on the insights generated by the model.
Findings
The paper indicates that the ordering quantity is not altered with the changing proportion of strategic customers and myopic customers, but the ordering quantity and the pricing strategy are influenced in terms of newsvendor’s reference effect, loss aversion, product cost, and salvage price.
Practical implications
The research findings have important implications for decision makers. Previous researches have studied the incomplete rationality newsvendor’s decision-making behavior mainly by analyzing the vendor’s risk preferences or loss aversion, but the effect of reference point also plays an important role in analyzing the decision-maker’s behavior. The paper provides the optimal pricing policy and ordering quantity with the reference effect considering the strategic customers behavior. This model is also a valid complementarity to behavioral operations management research area.
Originality/value
The paper examines the role of reference effect in newsvendor problem with the strategic customers and analyzes the impact of parameters such as loss aversion on the newsvendor’s decision behavior.
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Abstract
Purpose
This study examines how community norms, such as religious atmosphere and economic pressures, affect corporate philanthropic giving. Grounded in upper echelon theory, the authors further focus on how the women on board of directors (BODs) play an important role in the relationship between community norms and corporate philanthropic giving.
Design/methodology/approach
This study utilizes a two-stage Heckman selection model to control the sample-selection bias. The final sample includes 8,566 observations for the first stage and 5,575 observations for the second stage. Then, by using a sample of Chinese listed firms in 2010–2014, this study establishes a strong and robust support for the hypotheses.
Findings
This study finds that religious atmosphere is significantly and positively associated with corporate philanthropic giving, whereas the relationship between economic pressure and corporate philanthropy is negative. Furthermore, women on BODs not only strengthen the relationship between religious atmosphere and corporate philanthropic giving but also strengthen the relationship between economic pressure and corporate philanthropic giving.
Originality/value
First, the authors contribute to community literature by developing a subdivided perspective. The authors provide the first attempt to empirically investigate the hidden association between the two perspectives of community (religious atmosphere and economic pressure) and corporate philanthropic giving. Second, the authors contribute to the literature on corporate philanthropy by expanding the antecedents of corporate philanthropic giving to communities where firms are headquartered. Third, by capturing the multiple identities of women, the authors enrich the study of the influence of minority groups on corporate decision-making. The authors find that gender diversity on BODs strengthen the influence of community norms on corporate philanthropic giving.
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Abstract
Purpose
This paper aims to investigate the differential moderating effects of two types (internal/external) of corporate social responsibility (CSR) on the relationship between distributive injustice and organization-directed revenge through the mediating role of negative emotions.
Design/methodology/approach
This paper conducts two studies. Study 1 was a vignette study based on a sample of 501 part-time master of business administration students in China aimed at testing the moderating effects of different levels of internal (external) CSR. Study 2 involved a laboratory experiment in which 108 postgraduate students were recruited to scrutinize the contrasting moderating effects of different types of CSR (internal vs external) and test the underlying mechanisms of negative emotions. The latest facial expression analysis technology (FaceReader 5.0 software) was used to detect participants’ emotional state.
Findings
Study 1 demonstrates that internal CSR buffers the relationship between distributive injustice and organizational revenge behavior through negative emotions. However, the moderating effect of external CSR is not significant. Study 2 reveals that compared with external CSR, distributive injustice induces fewer negative emotions in the presence of internal CSR and the mediating role of negative emotions detected by the facial expression analysis software is also verified.
Practical implications
The authors hope that the findings of this paper can provide theoretical references for enterprise managers to enhance their employee governance, develop more effective intervention policies and formulate corresponding coping mechanisms to prevent and mitigate workplace revenge behaviors.
Originality/value
First, this paper enriches the literature on the relationship between injustice and organization revenge by introducing CSR as an employee governance tool. Second, this paper reconciles prior inconsistent findings about employee response to CSR in the occurrence of negative events by distinguishing between external and internal CSR and examining the differential moderating effects of two types of CSR. Such distinction is derived from the heterogeneous justice perceptions arising from different CSR actions. In addition, the authors measure participants’ negative emotions through a multi-method approach integrating the latest technology for facial expression analysis and the PANAS scale, which represents a method advancement and provides implications for measuring emotions.
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Liang Xu, Sheng Jin, Bolin Li and Jiaming Wu
This study aims to make full use of the advantages of connected and autonomous vehicles (CAVs) and dedicated CAV lanes to ensure all CAVs can pass intersections without stopping.
Abstract
Purpose
This study aims to make full use of the advantages of connected and autonomous vehicles (CAVs) and dedicated CAV lanes to ensure all CAVs can pass intersections without stopping.
Design/methodology/approach
The authors developed a signal coordination model for arteries with dedicated CAV lanes by using mixed integer linear programming. CAV non-stop constraints are proposed to adapt to the characteristics of CAVs. As it is a continuous problem, various situations that CAVs arrive at intersections are analyzed. The rules are discovered to simplify the problem by discretization method.
Findings
A case study is conducted via SUMO traffic simulation program. The results show that the efficiency of CAVs can be improved significantly both in high-volume scenario and medium-volume scenario with the plan optimized by the model proposed in this paper. At the same time, the progression efficiency of regular vehicles is not affected significantly. It is indicated that full-scale benefits of dedicated CAV lanes can only be achieved with signal coordination plans considering CAV characteristics.
Originality/value
To the best of the authors’ knowledge, this is the first research that develops a signal coordination model for arteries with dedicated CAV lanes.
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Keywords
Jiaming Wu and Xiaobo Qu
This paper aims to review the studies on intersection control with connected and automated vehicles (CAVs).
Abstract
Purpose
This paper aims to review the studies on intersection control with connected and automated vehicles (CAVs).
Design/methodology/approach
The most seminal and recent research in this area is reviewed. This study specifically focuses on two categories: CAV trajectory planning and joint intersection and CAV control.
Findings
It is found that there is a lack of widely recognized benchmarks in this area, which hinders the validation and demonstration of new studies.
Originality/value
In this review, the authors focus on the methodological approaches taken to empower intersection control with CAVs. The authors hope the present review could shed light on the state-of-the-art methods, research gaps and future research directions.