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1 – 7 of 7Ming Li, Lisheng Chen and Yingcheng Xu
A large number of questions are posted on community question answering (CQA) websites every day. Providing a set of core questions will ease the question overload problem. These…
Abstract
Purpose
A large number of questions are posted on community question answering (CQA) websites every day. Providing a set of core questions will ease the question overload problem. These core questions should cover the main content of the original question set. There should be low redundancy within the core questions and a consistent distribution with the original question set. The paper aims to discuss these issues.
Design/methodology/approach
In the paper, a method named QueExt method for extracting core questions is proposed. First, questions are modeled using a biterm topic model. Then, these questions are clustered based on particle swarm optimization (PSO). With the clustering results, the number of core questions to be extracted from each cluster can be determined. Afterwards, the multi-objective PSO algorithm is proposed to extract the core questions. Both PSO algorithms are integrated with operators in genetic algorithms to avoid the local optimum.
Findings
Extensive experiments on real data collected from the famous CQA website Zhihu have been conducted and the experimental results demonstrate the superior performance over other benchmark methods.
Research limitations/implications
The proposed method provides new insight into and enriches research on information overload in CQA. It performs better than other methods in extracting core short text documents, and thus provides a better way to extract core data. The PSO is a novel method used for selecting core questions. The research on the application of the PSO model is expanded. The study also contributes to research on PSO-based clustering. With the integration of K-means++, the key parameter number of clusters is optimized.
Originality/value
The novel core question extraction method in CQA is proposed, which provides a novel and efficient way to alleviate the question overload. The PSO model is extended and novelty used in selecting core questions. The PSO model is integrated with K-means++ method to optimize the number of clusters, which is just the key parameter in text clustering based on PSO. It provides a new way to cluster texts.
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Yunlong Duan, Yan Liu, Yilin Chen, Weiqi Guo and Lisheng Yang
This study aims to focus on the impact of multi-level knowledge sharing between and within organizations on the risk control of rural inclusive finance. The paper presents…
Abstract
Purpose
This study aims to focus on the impact of multi-level knowledge sharing between and within organizations on the risk control of rural inclusive finance. The paper presents a synergistic risk control system integrating external and internal factors for rural inclusive finance by constructing different knowledge-sharing platforms in an environment, which is full of many uncertainties.
Design/methodology/approach
This study is based on survey methods. To achieve the research objectives, the authors adopt a single case study approach. For data collection, the authors apply a wide variety of methods such as semi-structured interviews, field visits, second-hand databases and official websites.
Findings
The results emphasize that using multi-level knowledge sharing such as the inter- and intra-organizational level, can facilitate the risk control of rural inclusive finance during the post-COVID-19 era. Furthermore, it is also noted that achieving knowledge sharing at different levels by building diverse knowledge-sharing platforms can promote the risk control of rural inclusive finance from the individual-organization level to the chain level of multi-organization collaboration, which contributes to the formation of symbiotic risk control ecology.
Research limitations/implications
The authors have formed the “Chinese wisdom” to deal with inclusive financial risks and to promote in-depth development in relation to the “last mile” practice of inclusive finance, which means the final and the most important phase of a project. The conclusions contribute to enriching the outcomes regarding the risk control of rural inclusive finance, provide experiences to its sustainable development and offer a reference to other countries with their risk control of rural inclusive finance.
Originality/value
Drawing on the knowledge-sharing approach, this study creatively resolves the persistent problems in the risk control of rural inclusive finance, which forms a powerful supplement to the extant literature. Meanwhile, the paper combines the two contextual factors of the post-COVID-19 era and emerging economies, which can be deemed as a novel attempt.
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Xianyi Xie, Lisheng Jin, Guo Baicang and Jian Shi
This study aims to propose an improved linear quadratic regulator (LQR) based on the adjusting weight coefficient, which is used to improve the performance of the vehicle direct…
Abstract
Purpose
This study aims to propose an improved linear quadratic regulator (LQR) based on the adjusting weight coefficient, which is used to improve the performance of the vehicle direct yaw moment control (DYC) system.
Design/methodology/approach
After analyzing the responses of the side-slip angle and the yaw rate of the vehicle when driving under different road adhesion coefficients, the genetic algorithm and fuzzy logic theory were applied to design the parameter regulator for an improved LQR. This parameter regulator works according to the changes in the road adhesion coefficient between the tires and the road. Hardware-in-the-loop (HiL) tests with double-lane changes under low and high road surface adhesion coefficients were carried out.
Findings
The HiL test results demonstrate the proposed controllers’ effectiveness and reasonableness and satisfy the real-time requirement. The effectiveness of the proposed controller was also proven using the vehicle-handling stability objective evaluation method.
Originality/value
The objective evaluation results reveal better performance using the improved LQR DYC controller than a front wheel steering vehicle, especially in reducing driver fatigue, improving vehicle-handling stability and enhancing driving safety.
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Yunlong Duan, Lei Huang, Hao Cheng, Lisheng Yang and Tianzhou Ren
The key to the success of multinational corporations’ (MNCs) business models is the improvement of their innovation quality. From the cross-border knowledge management…
Abstract
Purpose
The key to the success of multinational corporations’ (MNCs) business models is the improvement of their innovation quality. From the cross-border knowledge management perspective, this paper aims to analyze the improvement path of innovation quality of MNCs and construct the functional path of the relationships among the knowledge creation, knowledge application and innovation quality of MNCs in the cross-border knowledge management process, so as to achieve the success of their business models. Based on this, this paper introduces cultural distance to further analyze how such relationships will change with the cultural distance level.
Design/methodology/approach
Using data from Chinese A-share listed MNCs with production operations located in the Asia-Pacific region from 2014 to 2018, this paper constructs a panel data model to test the mediating effect of knowledge application and the moderating effect of cultural distance on such relationships.
Findings
This paper obtains the following research findings: knowledge creation and knowledge application each have a significant, inverted U-shaped relationship with innovation quality; knowledge creation has a significantly positive correlation with knowledge application and knowledge application has a partial mediating effect on the relationship between knowledge creation and innovation quality; cultural distance has a moderating effect on such relationships. The specific moderating direction depends on the extent of the knowledge creation and knowledge application.
Practical implications
The findings are helpful to MNCs’ managers, providing guidance and serve as a reference for them to make strategic decisions on cross-board knowledge management and business models innovation.
Originality/value
The theoretical contributions are summarized as follows: First, it further enriches and expands the theoretical of knowledge management and innovation quality relationship. Second, it further enriches and expands the theoretical framework of knowledge management. Third, it further enriches the theoretical framework of cross-cultural management.
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Yilu Gong, Tantan Shao and Lijun Chen
Fluorine materials have received the keen attention of many researchers because of their water repellency and low surface free energy. The purpose of this paper is to prepare…
Abstract
Purpose
Fluorine materials have received the keen attention of many researchers because of their water repellency and low surface free energy. The purpose of this paper is to prepare fluorine-containing soap-free acrylic emulsion, which sodium allyoxypropyl hydroxypropyl sulfonate (COPS-1) and anionic emulsifier sodium a-alkenyl sulfonate (a-AOS) were combined as polymerizable emulsifier, and undecylenic acid (UA) and dodecafluoroheptyl methacrylate(DFMA) were introduced as functional monomer.
Design/methodology/approach
The fluorinated polyacrylate emulsion was successfully prepared by semi-continuous seed emulsion polymerization, wherein the main monomers were methyl methacrylate (MMA) and butyl methacrylate (BA), and the initiator was potassium persulfate (KPS). Sodium alloxypropyl sulfonate (COPS-1) and an anionic emulsifier sodium a-alkenyl sulfonate (a-AOS) were compounded as a polymerizable emulsifier. Besides, undecylenic acid (UA) and dodecafluoroheptyl methacrylate (DFMA) were introduced as the functional monomers.
Findings
The optimum recipe of preparing the modified latex is as follows: the amount of emulsifier was 4%, the ratio of emulsifier (COPS-1: AOS) was 3: 1, and the content of initiator was 0.6%. In this case, the conversion rate of acrylic polymer emulsion was high and the polymerization stability was good. When the amount of monomer UA was 2% and the amount of DFMA was 4%, the overall performance of the emulsion was the best.
Originality/value
The fluorine-containing soap-free acrylic emulsion is prepared via semi-continuous seeded emulsion polymerisation, which sodium allyoxypropyl hydroxypropyl sulfonate (COPS-1) and anionic emulsifier sodium a-alkenyl sulfonate (a-AOS) were combined as polymerizable emulsifier, and undecylenic acid (UA) and dodecafluoroheptyl methacrylate (DFMA) were introduced as functional monomer. There are two main innovations. One is that the fluorine-containing soap-free acrylic emulsion is prepared successfully. The other is that the undecylenic acid is introduced as functional monomer.
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Christian Espinosa-Méndez and Alejandra Inostroza Correa
The purpose of this paper is to investigate how chief executive officer (CEO) gender relates to financial performance in small and medium enterprises (SMEs) in a Latin American…
Abstract
Purpose
The purpose of this paper is to investigate how chief executive officer (CEO) gender relates to financial performance in small and medium enterprises (SMEs) in a Latin American emerging economy like Chile.
Design/methodology/approach
The authors apply a questionnaire on a sample of 188 SMEs in Chile in 2017. The authors apply multiple ordinary least squares regression models to test the effects of CEO gender on SME performance using the industry location indicators to account for unobserved heterogeneity in the sample. As a robustness test the authors use hierarchical regression analysis.
Findings
The authors find a positive relationship between the presence of female CEOs and firm performance. Then, when probing whether the sociodemographic characteristics of the CEO are related to firm performance or moderate the gender-performance relationship, the authors do not find statistically significant evidence that these types of characteristics affect the performance of SMEs.
Originality/value
To the best of the authors’ knowledge, the present study is the first to investigate the relationship between CEO gender and financial performance of SMEs in an emerging Latin American economy. The study contributes to the general literature by reporting comparable evidence with studies in developed economies.
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Jermaine Ravalier, Andrew McVicar and Carol Munn-Giddings
The purpose of this paper is to demonstrate the innovative application of an Appreciative Inquiry (AI) approach for the design and implementation of organizational stress…
Abstract
Purpose
The purpose of this paper is to demonstrate the innovative application of an Appreciative Inquiry (AI) approach for the design and implementation of organizational stress management interventions, alongside a case study of the successful design and implementation of the approach. By utilizing the AI methodology to develop a “local stress theory” for the participating organization, the authors propose a model which can be utilized in other similar organizations.
Design/methodology/approach
Stage 1: 35 participants completed up to ten daily logs by answering four positively framed questions regarding their working day. Stage 2: semi-structured interviews (n=13). The interview schedule was designed to further elaborate log findings, and begin looking into feasible organizational changes for improvement of stress. Stage 3: two focus groups (Stage 3, total 13 employees) verified interventions from logs and interviews and discuss how these can be implemented.
Findings
The log phase identified two key themes for improvement: managerial/organizational support and communication. From these, interviews and focus groups led to workable proposals for simple but likely effective changes. The authors reported findings to management, emphasizing organizational change implementation, and these were subsequently implemented.
Research limitations/implications
The study demonstrated the effectiveness of AI to identify and implement relatively simple but meaningful changes. The AI cycle was completed but allocating lengthy follow-up time for evaluation of outcomes was not possible, although initial responses were favorable. There are also issues of generalizability of the findings.
Originality/value
This is the among first studies to utilize an AI approach for the design of stress management interventions.
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