HongPu Hu, WanNian Liang, Aimin Guo, XueMei An, Ping Zhou, JunLI Wang and Yi Lin
The aim is to focus on an automated management and evaluation system to control the operation of community health service (CHS) efficiently.
Abstract
Purpose
The aim is to focus on an automated management and evaluation system to control the operation of community health service (CHS) efficiently.
Design/methodology/approach
On the basis of analyzing existing health laws, regulations, CHS work situation, the authors established the execution method and supervision norm of management for CHS. They used Delphi expert consultation activity and analytic hierarchy process to construct weight coefficient allocation list and synthesize evaluation models: GI=∑I=1NCiPi. The authors synthesized computer technology to design corresponding software, and then completed the spot usage.
Findings
The automated management and evaluation system for CHS has been completed. The system possesses automated management function, automated evaluation function, searching function, the functions of supervision and statistics analysis as well as the feedback. Automated management includes guide and filling‐in, checking‐up, modifying and saving, converging, submitting, examining and approving, receiving, saving to file and issuing formation, etc. Automated evaluation can rank automatically synthesized index or any selected single criterion index in the order of either high to low or low to high. The feedback function is able to be used to convey timely the state of execution, and to offer the bases for further adjustment.
Research limitations/implications
The automated evaluation makes the difficult evaluation work of daily supervision simple and maneuverable.
Practical implications
The systemization and automation of CHS management can control effectively practical operation of CHS.
Originality/value
The study is the first to establish an automated compliance management and evaluation system for Chinese CHS.
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Mingfei Li, Shanshan Huang, Aimin Deng, Billy Bai and Shoujiang Zhou
Drawing on self-determination theory and insights from the literature on service-dominant (S-D) logic and value co-creation, this paper aims to investigate the impacts of an S-D…
Abstract
Purpose
Drawing on self-determination theory and insights from the literature on service-dominant (S-D) logic and value co-creation, this paper aims to investigate the impacts of an S-D orientation on positive customer outcomes (i.e. customer participation behaviors, customer citizenship behaviors and quality of life) and the underlying mechanisms of these effects.
Design/methodology/approach
Custom travel service (CTS) was chosen as the research setting. In total, 303 valid questionnaires were gathered from tourists in China. The partial least squares structural equation modeling approach was used for model estimation.
Findings
Tourism firms’ S-D orientation positively influences customer participation behaviors via customer psychological need satisfaction (i.e. perceived autonomy, competence and relatedness), customer citizenship behaviors via perceived relatedness and customer quality of life via perceived autonomy and perceived competence.
Research limitations/implications
Although the impact of S-D orientation is studied in the CTS context, this study illustrates how firms embracing S-D logic can facilitate value co-creation and customer quality of life, presenting a more precise picture for academics and practitioners.
Originality/value
This paper is the first attempt to empirically examine the relationships among S-D orientation, customer value cocreation and quality of life. The relevance of customer psychological need satisfaction is acknowledged in this study.
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Aimin Yan, Biyun Jiang and Zhimei Zang
Drawing upon the conservation of resources theory, this study aims to investigate whether, how and when salespeople’s substantive attribution of the organization’s corporate…
Abstract
Purpose
Drawing upon the conservation of resources theory, this study aims to investigate whether, how and when salespeople’s substantive attribution of the organization’s corporate social responsibility (CSR) affects value-based selling (VBS). The authors argue that salespeople’s substantive CSR attribution increase value-based selling through two mechanisms (i.e. by lowering emotional exhaustion and increasing empathy), and treatment by customers can increase or decrease the strength of these relationships.
Design/methodology/approach
B2B salespeople working in various industries in China were recruited through snowball sampling to participate in the study. There were 462 volunteers (57.58% women; aged 30–55; tenure ranging from six months to 15 years) who provided valid self-report questionnaires.
Findings
Hierarchical multiple regression supported the association between salespeople’s substantive CSR attribution and VBS. The results showed that salespeople’s emotional state (i.e. emotional exhaustion and empathy) mediated the association between substantive CSR attribution and VBS. As expected, salespeople’s experiences of customer incivility weakened the mediating effect of emotional exhaustion; contrary to expectations, customer-initiated interpersonal justice weakened the mediation effect of empathy.
Originality/value
This study makes a unique contribution to the existing marketing literature by first investigating the role of salespeople’s attribution of CSR motives in facilitating their VBS, which answers the call to identify factors that predict VBS. In addition, to the best of the authors’ knowledge, the authors are the first to test salespeople’s emotions as a mechanism of the link between their CSR attributions and selling behaviors.
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Yicong Sun, Aimin Yan, Xinfang Hu and Zhimei Zang
This study draws on the trait activation theory to investigate the relationship between Machiavellianism and relational energy, considering the mediating role of facades of…
Abstract
Purpose
This study draws on the trait activation theory to investigate the relationship between Machiavellianism and relational energy, considering the mediating role of facades of conformity and the moderating role of leader–member exchange ambivalence.
Design/methodology/approach
We collected survey data from 275 employees in central China at three time points. We conducted confirmatory factor analysis and bootstrapping to test the hypotheses using Mplus7.0 and the PROCESS macro.
Findings
We found that facades of conformity mediated the relationship between Machiavellianism and relational energy. Moreover, the indirect effect of Machiavellianism on relational energy via facades of conformity was more significant when leader–member exchange ambivalence is higher.
Originality/value
This study provides empirical evidence of how and when Machiavellians acquire relational energy from leaders.
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Aimin Yan, Yicong Sun, Sarah Brooks, Yinghui Zhang and Jinyun Duan
Drawing on the generativity framework, this study aims to investigate the relationship between the Dark Triad personalities (Machiavellianism, narcissism, and psychopathy) and…
Abstract
Purpose
Drawing on the generativity framework, this study aims to investigate the relationship between the Dark Triad personalities (Machiavellianism, narcissism, and psychopathy) and knowledge hiding. This study also identifies the mediating role of generativity motivation and the moderating role of focus on opportunities.
Design/methodology/approach
Using a convenience sample, a two-wave time-lagged study collected survey responses from 498 employees from manufacturing industries in China, and the data was analyzed using hierarchal regression and bootstrapping methods.
Findings
This study found that Machiavellianism and psychopathy are both positively related to generativity motivation. The generativity motivation plays a mediating role in the paths of Machiavellianism and psychopathy on knowledge hiding, and a focus on opportunities positively moderates the direct and indirect effect of Machiavellianism and psychopathy on knowledge hiding.
Originality/value
Based on the generativity framework, we find a new underlying mechanism between the Dark Triad personalities and knowledge hiding, thereby further enriching the literature in relation to their influence over knowledge management. Moreover, it also finds that a focus on opportunities can weaken the negative relationships between the Dark Triad personalities and knowledge hiding.
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Yahui Zhang, Aimin Li, Haopeng Li, Fei Chen and Ruiying Shen
Wheeled robots have been widely used in People’s Daily life. Accurate positioning is the premise of autonomous navigation. In this paper, an optimization-based…
Abstract
Purpose
Wheeled robots have been widely used in People’s Daily life. Accurate positioning is the premise of autonomous navigation. In this paper, an optimization-based visual-inertial-wheel odometer tightly coupled system is proposed, which solves the problem of failure of visual inertia initialization due to unobservable scale.The aim of this paper is to achieve robust localization of visually challenging scenes.
Design/methodology/approach
During system initialization, the wheel odometer measurement and visual-inertial odometry (VIO) fusion are initialized using maximum a posteriori (MAP). Aiming at the visual challenge scene, a fusion method of wheel odometer and inertial measurement unit (IMU) measurement is proposed, which can still be robust initialization in the scene without visual features. To solve the problem of low track accuracy caused by cumulative errors of VIO, the local and global positioning accuracy is improved by integrating wheel odometer data. The system is validated on a public data set.
Findings
The results show that our system performs well in visual challenge scenarios, can achieve robust initialization with high efficiency and improves the state estimation accuracy of wheeled robots.
Originality/value
To realize robust initialization of wheeled robot, wheel odometer measurement and vision-inertia fusion are initialized using MAP. Aiming at the visual challenge scene, a fusion method of wheel odometer and IMU measurement is proposed. To improve the accuracy of state estimation of wheeled robot, wheel encoder measurement and plane constraint information are added to local and global BA, so as to achieve refined scale estimation.
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Yue Zhang, Jun Xiao, Shaoguang Yang and Aimin Zhao
High silicon iron-based alloys possess excellent corrosion resistance in certain specific media, but the effects of electrolysis parameters on corrosion resistance remain unknown…
Abstract
Purpose
High silicon iron-based alloys possess excellent corrosion resistance in certain specific media, but the effects of electrolysis parameters on corrosion resistance remain unknown. This study aims to guide the development and application of an extra-low carbon high silicon iron-based alloy (ECHSIA) in electrode plates.
Design/methodology/approach
The corrosion resistance of ECHSIA and a conventional high-silicon cast iron (CHSCI) was analyzed through experimental characterizations. The morphology was observed by scanning electron microscopy. The influence of electrolysis parameters on the corrosion resistance of ECHSIA was investigated through corrosion experiments. The relationship between the electrolysis parameters and the corrosion resistance of ECHSIA was statistically investigated using the grey correlation analysis method.
Findings
The corrosion resistance of the ECHSIA is better than that of the CHSCI. The corrosion rate showed an increasing tendency with the increase in the nitric acid concentration (CHNO3), electrolyte temperature and current density. The grey correlation analysis results showed that the CHNO3 was the main factor affecting the corrosion rate of the ECHSIA.
Originality/value
An ECHSIA with a single ferrite microstructure was prepared. This study provides a guideline for the future development and application of ECHSIAs as electrode plates.
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Yahui Zhang, Aimin Li, Haopeng Li, Fei Chen and Ruiying Shen
A tightly coupled global navigation satellite system (GNSS)-Vision-IMU-wheel odometer (GVIWO) system is proposed, which can realize robust positioning in extreme environments. The…
Abstract
Purpose
A tightly coupled global navigation satellite system (GNSS)-Vision-IMU-wheel odometer (GVIWO) system is proposed, which can realize robust positioning in extreme environments. The purpose of this study is to achieve adaptive initialization in complex environments, sensor anomaly detection and processing, and adaptive robust localization in extreme environments.
Design/methodology/approach
Adaptive initialization includes traditional dynamic and static initialization and extreme condition initialization. To deal with the unstable visual features in the state of excited motion, a method of wheel odometer assisted initialization is designed. According to the abnormal condition of the sensor, the anomaly detection and attenuation mechanism are designed to realize the accurate positioning of the sensor under abnormal condition.
Findings
Tight coupling optimization of GNSS signals, RGB+Depth Map cameras, inertial measurement units and wheel odometers ensures accurate positioning in both indoor and outdoor environments. Through open data sets and field validation experiments, the proposed tightly coupled system has strong adaptability, especially in extreme environments.
Originality/value
A new framework is proposed by integrating GNSS, visual, inertial measurement unit (IMU) and wheel odometer sensors to form an efficient positioning solution. An adaptive initialization method is proposed to enhance the robustness and real-time performance of the positioning system in complex and dynamic environments. A mechanism for detecting and attenuating sensor anomalies is designed, enabling quasideterministic positioning under sensor anomalies.
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Detecting precursory signals is critical to increasing the resilience of megaprojects to crises. This study aims to investigate key crisis precursors to better apprehend traces of…
Abstract
Purpose
Detecting precursory signals is critical to increasing the resilience of megaprojects to crises. This study aims to investigate key crisis precursors to better apprehend traces of megaproject crises and proactively respond to approaching crises, thereby increasing project resilience.
Design/methodology/approach
Drawing on the theory of weak signals, 25 potential precursors of megaproject crises are extracted. Using exploratory structural equation modeling (ESEM), four models were tested to identify key crisis precursors based on a questionnaire survey of 168 megaproject participants in China. Analysis of variance (ANOVA) was employed to examine the differences in participants’ perceptions of key crisis precursors.
Findings
Four key crisis precursors were identified: Imbalance of Benefits and Costs, Irresponsible and Unqualified Key Participants, Regulatory Mechanisms Lacking Transparency and Flexibility, and Information Uncertainty and Asymmetry. Compared with senior executives, team members think that key crisis precursors related to regulatory mechanisms and key participants are more likely to trigger crises, which affects responsive actions toward detected crisis precursors. The findings help identify problems at an early stage and enable timely intervention to mitigate crises.
Research limitations/implications
Detection of key crisis precursors allows for proactive and targeted actions to mitigate crises. Megaproject development is affected by institutional mechanisms. The influence of institutions on the effectiveness of crisis management needs further investigation.
Originality/value
Limited attention has been paid to recognizing precursors of megaproject crises. This study identifies four key crisis precursors by uncovering the interrelationships among potential precursors, which enables rapid adaptation to future crises.
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Lanmin Wang, Hongmin Wang, Huiyan Zhang, Naiseman Akemujiang and Aimin Xiao
Body type classification has a great influence on plate making and garment sizing system, and the accuracy of body type classification method will greatly affect the fit of…
Abstract
Purpose
Body type classification has a great influence on plate making and garment sizing system, and the accuracy of body type classification method will greatly affect the fit of garment production. The purpose of this paper is to use the decision tree algorithm to study body classification rules, develop a decision tree body recognition model and judge the body shape of middle-aged women in Xinjiang.
Design/methodology/approach
First, perform dimensionless processing on the collected data of 256 middle-aged women in Xinjiang, and the dimensionless data were used for K-means body clustering; Then, quantitatively analyze the effectiveness of different classification clusters based on the silhouette coefficients. Second, the decision tree algorithm is used to divide the classified sample data into a training set and a test set at a ratio of 70/30, and select the best node and the best branch based on the Gini coefficient to construct a classification tree. Last, the overall optimal decision tree is generated by means of hyperparameter pruning.
Findings
The body shape of middle-aged women in Xinjiang can be divided into three types: standard body, plump body and obese body. The decision tree model has an excellent effect on body classification of middle-aged women in Xinjiang (precision (macro), 95.46%; precision (micro), 95.95%; recall (macro), 95.46%; recall (micro), 95.95%; F1 (macro), 95.46%; F1 (micro), 95.95%).
Originality/value
For scientific research, this paper is conducive to increasing the regional body type theory and stimulating the establishment of a garment sizing subdivision system in Xinjiang. In terms of production practice, this paper not only establishes a model for judging the shape of middle-aged women in Xinjiang, but also provides reference data for intermediates of various sizes. In addition, to facilitate pattern-making and the establishment of a subdivision system for the size of middle-aged women's garments in Xinjiang, this paper provides the grading values of various body control parts of middle-aged women in Xinjiang.