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Article
Publication date: 19 August 2020

Yan Wan, Yifan Zhang and Mengling Yan

Online trust is a key factor for successful online transactions. To some extent, online health consultation can be considered an online transaction. Owing to the unique…

Abstract

Purpose

Online trust is a key factor for successful online transactions. To some extent, online health consultation can be considered an online transaction. Owing to the unique physician–patient relationship, patients' choice of physicians within an online health consultation setting may not only be based on rational judgments but also considerably affected by their feelings. Hence, the purpose of this study was to explore which physicians' attributes affect patients' cognitive and affective trust in physicians, as well as how these two variables and their association affect patients' willingness to choose.

Design/methodology/approach

Based on the broad conceptual framework of online trust, this paper proposed a set of hypotheses that were tested through analyzing survey data using structural equation modeling techniques.

Findings

Results showed that physicians' ability had a significant positive influence on patients' cognitive trust in the physician; physicians' integrity and benevolence had a significant positive influence on patients' affective trust in the physician; cognitive and affective trust had a significant positive impact on patients' willingness to choose and there were significant positive interactions between affective and cognitive trust.

Originality/value

This study theoretically enriches the generic model of online trust. From the practical perspective, it will provide physicians working in online health consultation platforms and relevant practitioners with baseline information on the topic and advice for decision-making toward service enhancement and clientele improvements.

Details

Industrial Management & Data Systems, vol. 120 no. 12
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 24 June 2021

Yan Wan, Ziqing Peng, Yalu Wang, Yifan Zhang, Jinping Gao and Baojun Ma

This paper aims to reveal the factors patients consider when choosing a doctor for consultation on an online medical consultation (OMC) platform and how these factors…

Abstract

Purpose

This paper aims to reveal the factors patients consider when choosing a doctor for consultation on an online medical consultation (OMC) platform and how these factors influence doctors' consultation volumes.

Design/methodology/approach

In Study 1, influencing factors reflected as service features were identified by applying a feature extraction method to physician reviews, and the importance of each feature was determined based on word frequencies and the PageRank algorithm. Sentiment analysis was used to analyze patient satisfaction with each service feature. In Study 2, regression models were used to analyze the relationships between the service features obtained from Study 1 and the doctor's consultation volume.

Findings

The study identified 14 service features of patients' concerns and found that patients mostly care about features such as trust, phraseology, overall service experience, word of mouth and personality traits, all of which describe a doctor's soft skills. These service features affect patients' trust in doctors, which, in turn, affects doctors' consultation volumes.

Originality/value

This research is important as it informs doctors about the features they should improve, to increase their consultation volume on OMC platforms. Furthermore, it not only enriches current trust-related research in the field of OMC, which has a certain reference significance for subsequent research on establishing trust in online doctor–patient relationships, but it also provides a reference for research concerning the antecedents of trust in general.

Details

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

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Article
Publication date: 5 May 2020

Qingfeng Meng, Yifan Zhang, Zhen Li, Weixiang Shi, Jun Wang, Yanhui Sun, Li Xu and Xiangyu Wang

The purpose of this paper is to summarize the current applications of BIM, the integration of related technologies and the tendencies and challenges systematically.

Abstract

Purpose

The purpose of this paper is to summarize the current applications of BIM, the integration of related technologies and the tendencies and challenges systematically.

Design/methodology/approach

Using quantitative and qualitative bibliometric statistical methods, the current mode of interaction between BIM and other related technologies is summarized.

Findings

This paper identified 24 different BIM applications in the life cycle. From two perspectives, the implementation status of BIM applications and integrated technologies are respectively studied. The future industry development framework is drawn comprehensively. We summarized the challenges of BIM applications from the perspectives of management, technology and promotion, and confirmed that most of the challenges come from the two driving factors of promotion and management.

Research limitations/implications

The technical challenges reviewed in this paper are from the collected literature we have extracted, which is only a part of the practical challenges and not comprehensive enough.

Practical implications

We summarized the current mode of interactive use of BIM and sorted out the challenges faced by BIM applications to provide reference for the risks and challenges faced by the future industry.

Originality/value

There is little literature to integrate BIM applications and to establish BIM related challenges and risk frameworks. In this paper, we provide a review of the current implementation level of BIM and the risks and challenges of stakeholders through three aspects of management, technology and promotion.

Details

Engineering, Construction and Architectural Management, vol. 27 no. 8
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 21 October 2019

Yifan Zhang, Qing Wang, Anan Zhao and Yinglin Ke

This paper aims to improve the alignment accuracy of large components in aircraft assembly and an evaluation algorithm, which is based on manufacture accuracy and…

Abstract

Purpose

This paper aims to improve the alignment accuracy of large components in aircraft assembly and an evaluation algorithm, which is based on manufacture accuracy and coordination accuracy, is proposed.

Design/methodology/approach

With relative deviations of manufacturing feature points and coordinate feature points, an evaluation function of assembly error is constructed. Then the optimization model of large aircraft digital alignment is established to minimize the synthesis assembly error with tolerance requirements, which consist of three-dimensional (3D) tolerance of manufacturing feature points and relative tolerance between coordination feature points. The non-linear constrained optimization problem is solved by Lagrange multiplier method and quasi-Newton method with its initial value provided by the singular value decomposition method.

Findings

The optimized postures of large components are obtained, which makes the tolerance of both manufacturing and coordination requirements be met. Concurrently, the synthesis assembly error is minimized. Compared to the result of the singular value decomposition method, the algorithm is validated in three typical cases with practical data.

Practical implications

The proposed method has been used in several aircraft assembly projects and gained a good effect.

Originality/value

This paper proposes a method to optimize the manufacturing and coordination accuracy with tolerance constraints when the postures of several components are adjusted at the same time. The results of this paper will help to improve the quality of component assemblies.

Details

Assembly Automation, vol. 40 no. 2
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 3 August 2012

Hongqi Liu, Tianbing Jia, Chaoqing Yuan and Yifan Zhang

This paper attempts to provide novel approaches and tools for the analysis and measurement of stock bubbles.

Abstract

Purpose

This paper attempts to provide novel approaches and tools for the analysis and measurement of stock bubbles.

Design/methodology/approach

The study is based on the perspective of a generalized virtual economy and the circulation process of accumulation strengthening and exclusion in the stock noise and is based on the symmetric chain model of the evolutionary game of combination of stock markets. Based on the stable ratio of the rational and irrational investors and the asymptotically stable strategy of the model in the two cases, the paper uses the improved classic model of noise trading (DSSW) to calculate the irrational bubbles on the Shanghai stock market.

Findings

The paper shows that the more irrational investors are, the higher the irrational bubbles are.

Practical implications

The method exposed in the paper can be used to study the formation mechanism of the stock market bubble, to analyze the impact of investors' behaviours, to measure the size of irrational bubbles and to put forward some reasonable policy recommendations and preventive measures.

Originality/value

The paper succeeds in pointing out a new stock market's irrational bubble calculation model on the basis of evolutionary game chain structure, and thus measures the size of the Shanghai stock market bubble and makes some tentative research and discussion about the evolution law of the stock market's irrational bubble.

Details

Kybernetes, vol. 41 no. 7/8
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 11 October 2019

Chunxia Yu, Zhiqin Zou, Yifan Shao and Fengli Zhang

The purpose of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the artificial neural network…

Abstract

Purpose

The purpose of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the artificial neural network (ANN), analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods.

Design/methodology/approach

In the proposed approach, the ANN model is used to classify decision maker’s risk attitude; the fuzzy AHP method is used to determine the relative weights of evaluation criteria; and the fuzzy TOPSIS method is used to evaluate ratings of suppliers. Finally, experiments are conducted to verify the feasibility and efficiency of the proposed integrated approach.

Findings

Experiments results show that the proposed integrated approach is effective and efficient to help decision makers to select suitable suppliers according to their risk attitudes.

Originality/value

The aim of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the ANN, AHP and TOPSIS methods. The decision maker’s risk attitude toward procurement transaction is originally considered in supplier selection process.

Details

Kybernetes, vol. 49 no. 9
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 27 August 2019

Qiao Li, Ping Wang, Yifan Sun, Yinglong Zhang and Chuanfu Chen

With the advent of the intelligent environment, as novice researchers, graduate students face digital challenges in their research topic selection (RTS). The purpose of…

Abstract

Purpose

With the advent of the intelligent environment, as novice researchers, graduate students face digital challenges in their research topic selection (RTS). The purpose of this paper is to explore their cognitive processes during data-driven decision making (DDDM) in RTS, thus developing technical and instructional strategies to facilitate their research tasks.

Design/methodology/approach

This study developes a theoretical model that considers data-driven RTS as a second-order factor comprising both rational and experiential modes. Additionally, data literacy and visual data presentation were proposed as an antecedent and a consequence of data-driven RTS, respectively. The proposed model was examined by employing structural equation modeling based on a sample of 931 graduate students.

Findings

The results indicate that data-driven RTS is a second-order factor that positively affects the level of support of visual data presentation and that data literacy has a positive impact on DDDM in RTS. Furthermore, data literacy indirectly affects the level of support of visual data presentation.

Practical implications

These findings provide support for developers of knowledge discovery systems, data scientists, universities and libraries on the optimization of data visualization and data literacy instruction that conform to students’ cognitive styles to inform RTS.

Originality/value

This paper reveals the cognitive mechanisms underlying the effects of data literacy and data-driven RTS under rational and experiential modes on the level of support of the tabular or graphical presentations. It provides insights into the match between the visualization formats and cognitive modes.

Details

Aslib Journal of Information Management, vol. 71 no. 5
Type: Research Article
ISSN: 2050-3806

Keywords

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Article
Publication date: 9 April 2018

Gongbin Tang, Yifan Chen, Feng Xiao, Shanshan Zhang and Fuchuan Huang

This paper aims to use this method to explore a new approach and possible technical optimal design for lubricant formulation.

Abstract

Purpose

This paper aims to use this method to explore a new approach and possible technical optimal design for lubricant formulation.

Design/methodology/approach

The component of the developed oil was determined based on the physical and chemical properties of the base oil and the tribological properties. The analytic hierarchy process (ANP) method and SuperDecisions software were used for hydraulic oil modeling and calculation while taking performance index, work circumstance and economy into consideration.

Findings

The hydraulic oil formulation can be optimized using the ANP method, where the technical performance, economy and working circumstances of the hydraulic oils were taken into consideration in the evaluation system. The experiment analyzed and scored and screened the hydraulic oil formula in an objective and comprehensive manner.

Originality/value

The experiments showed that the newly developed hydraulic oils could meet the performance requirements for new energy vehicles equipped with hybrid hydraulic engines.

Details

Industrial Lubrication and Tribology, vol. 70 no. 3
Type: Research Article
ISSN: 0036-8792

Keywords

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Article
Publication date: 11 April 2021

Yifan Xu, Xiang Gu, Qinghua Meng, Bin Wang and Jun Fan

This paper aims to show a series of hydrogels with adjustable mechanical properties, which can be cured quickly with visible light. The hydrogel is prepared conveniently…

Abstract

Purpose

This paper aims to show a series of hydrogels with adjustable mechanical properties, which can be cured quickly with visible light. The hydrogel is prepared conveniently with hydroxyethyl acrylate, cross-linker, gelatin and photoinitiator, and can be printed into certain 3D patterns with the direct ink write (DIW) 3D printer designed and developed by the research group.

Design/methodology/approach

In this paper, the authors designed a composite sensitization initiation system that is suitable for hydrogels. The concentration of photoinitiator, gelatin and cross-linker was studied to optimize the curing efficiency and adjust the mechanical properties. A DIW 3D printer was designed for the printing of hydrogel. Pre-gel solution was loaded into printer for printing into established models. The models were made and sliced with software.

Findings

The hydrogels can be cured efficiently with 405-nm visible light. While adding various content of gelatin and cross-linker, the mechanical properties of hydrogels show from soft and fragile (elastic modulus of 121.18 kPa and work of tension of 218.11 kJ·m−3) to rigid and tough (elastic modulus of 505.15 kPa and work of tension of 969.00 kJ·m−3). The hydrogels have high capacity of water absorption. With the DIW 3D printer, pre-gel hydrogel solution can be printed into objects with certain dimension.

Originality/value

In this work, a composite sensitization initiation system was designed, and fast curing hydrogels with adjustable mechanical properties had been prepared conveniently, which has high equilibrium water content and 3D printability with the DIW 3D printer.

Details

Rapid Prototyping Journal, vol. 27 no. 4
Type: Research Article
ISSN: 1355-2546

Keywords

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Article
Publication date: 6 December 2019

Guoliang Li, Yanran Fang, Yifan Song, Jingqiu Chen and Mo Wang

Given migrant workers’ critical role in the Chinese economy, the increasing number of migrant workers who leave their organizations and return to their hometown has caused…

Abstract

Purpose

Given migrant workers’ critical role in the Chinese economy, the increasing number of migrant workers who leave their organizations and return to their hometown has caused severe socioeconomic issues in China. The purpose of this paper is to contribute to migrant worker literature by revealing the micro-mechanism underlying migrant workers’ return-to-hometown intention and turnover.

Design/methodology/approach

Data were collected from a convenience sample from seven Chinese companies that employed migrant workers (n=147). The authors used path analysis to test the hypotheses.

Findings

Migrant workers’ family encouragement of returning to hometown was positively related to their return-to-hometown intention, which subsequently predicted their turnover decision in six months. Further, migrant workers’ perceived career sacrifice associated with returning to hometown weakened the effect of family encouragement to return.

Practical implications

For organizations that need to retain migrant workers, the findings indicate that it is particularly important to take migrant workers’ family needs and their career-related concerns into account. For migrant workers, the study highlights the importance of assessing gains and losses in the process of making turnover-related decisions.

Originality/value

This study contributes to migrant worker literature by investigating psychological processes underlying migrant workers return-to-hometown intention and the subsequent turnover from a micro perspective.

Details

Career Development International, vol. 25 no. 2
Type: Research Article
ISSN: 1362-0436

Keywords

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