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Article
Publication date: 31 May 2022

Mengying Wu, Rongsong Wang, Haihua Wang and Christophe Estay

The purpose of this paper is to examine the effect of psychological contract breach on destructive by developing a moderated mediation model. The model focuses on the mediating…

Abstract

Purpose

The purpose of this paper is to examine the effect of psychological contract breach on destructive by developing a moderated mediation model. The model focuses on the mediating role of moral identity and moral disengagement and the moderating role of moral belief.

Design/methodology/approach

This study conducted a three-wave questionnaire survey and used 377 matched-sample data to test the hypotheses. PROCESS bootstrapping program in SPSS and confirmatory factor analysis in AMOS software were adopted in this study.

Findings

Results reveal that psychological contract breach has a positive effect on destructive leadership behavior, and the relationship is mediated by moral identity and moral disengagement; moral belief not only moderates the relationship between psychological contract breach and destructive leadership behavior, but also moderates the mediation effect of moral identity and moral disengagement.

Originality/value

First, this study enriches the destructive leadership behavior literature by verifying psychological contract breach as an antecedent. Second, this study discusses the role of morality in the formation mechanism of destructive leadership behavior by testing the mediating effect of moral identity and moral disengagement and the moderating effect of moral belief.

Details

Leadership & Organization Development Journal, vol. 43 no. 5
Type: Research Article
ISSN: 0143-7739

Keywords

Article
Publication date: 9 February 2018

Wen Wu, Haihua (Jason) Wang and Lu Lu

The purpose of this paper is to fill important gaps by using the belongingness theory and examining the effects of individual-level workplace ostracism on members’ voice behavior…

Abstract

Purpose

The purpose of this paper is to fill important gaps by using the belongingness theory and examining the effects of individual-level workplace ostracism on members’ voice behavior and the effects of group-level workplace ostracism.

Design/methodology/approach

The authors used samples of 77 groups from a high-technological company.

Findings

Individual-level workplace ostracism is detrimental to group members’ promotive and prohibitive voice behavior, and group members’ belongingness mediates such effect; and group-level workplace ostracism is negatively related to group cohesion. The influence of group members’ perception of ostracism on their voice behavior is contingent on overall level of ostracism.

Originality/value

Despite of a growing body of studies on workplace ostracism “the extent to which an individual perceives that he or she is ignored or excluded by others at workplace”, the effects of workplace ostracism on individual’s voice behavior in group settings have received scant attention.

Details

Chinese Management Studies, vol. 12 no. 1
Type: Research Article
ISSN: 1750-614X

Keywords

Article
Publication date: 10 April 2024

Zhongyi Wang, Xueyao Qiao, Jing Chen, Lina Li, Haoxuan Zhang, Junhua Ding and Haihua Chen

This study aims to establish a reliable index to identify interdisciplinary breakthrough innovation effectively. We constructed a new index, the DDiv index, for this purpose.

Abstract

Purpose

This study aims to establish a reliable index to identify interdisciplinary breakthrough innovation effectively. We constructed a new index, the DDiv index, for this purpose.

Design/methodology/approach

The DDiv index incorporates the degree of interdisciplinarity in the breakthrough index. To validate the index, a data set combining the publication records and citations of Nobel Prize laureates was divided into experimental and control groups. The validation methods included sensitivity analysis, correlation analysis and effectiveness analysis.

Findings

The sensitivity analysis demonstrated the DDiv index’s ability to differentiate interdisciplinary breakthrough papers from various categories of papers. This index not only retains the strengths of the existing index in identifying breakthrough innovation but also captures interdisciplinary characteristics. The correlation analysis revealed a significant correlation (correlation coefficient = 0.555) between the interdisciplinary attributes of scientific research and the occurrence of breakthrough innovation. The effectiveness analysis showed that the DDiv index reached the highest prediction accuracy of 0.8. Furthermore, the DDiv index outperforms the traditional DI index in terms of accuracy when it comes to identifying interdisciplinary breakthrough innovation.

Originality/value

This study proposed a practical and effective index that combines interdisciplinary and disruptive dimensions for detecting interdisciplinary breakthrough innovation. The identification and measurement of interdisciplinary breakthrough innovation play a crucial role in facilitating the integration of multidisciplinary knowledge, thereby accelerating the scientific breakthrough process.

Details

The Electronic Library , vol. 42 no. 4
Type: Research Article
ISSN: 0264-0473

Keywords

Article
Publication date: 27 November 2020

Mingwei Tang, Jiangping Chen, Haihua Chen, Zhenyuan Xu, Yueyao Wang, Mengting Xie and Jiangwei Lin

The purpose of this paper is to provide an integrated semantic information retrieval (IR) solution based on an ontology-improved vector space model for situations where a digital…

Abstract

Purpose

The purpose of this paper is to provide an integrated semantic information retrieval (IR) solution based on an ontology-improved vector space model for situations where a digital collection is established or curated. It aims to create a retrieval approach which could return the results by meanings rather than by keywords.

Design/methodology/approach

In this paper, the authors propose a semantic term frequency algorithm to create a semantic vector space model (SeVSM) based on ontology. To support the calculation, a multi-branches tree model is created to represent the ontology and a set of algorithms is developed to operate it. Then, a semantic ontology-based IR system based on the SeVSM model is designed and developed to verify the effectiveness of the proposed model.

Findings

The experimental study using 30 queries from 15 different domains confirms the effectiveness of the SeVSM and the usability of the proposed system. The results demonstrate that the proposed model and system can be a significant exploration to enhance IR in specific domains, such as a digital library and e-commerce.

Originality/value

This research not only creates a semantic retrieval model, but also provides the application approach via designing and developing a semantic retrieval system based on the model. Comparing with most of the current related research, the proposed research studies the whole process of realizing a semantic retrieval.

Details

The Electronic Library , vol. 38 no. 5/6
Type: Research Article
ISSN: 0264-0473

Keywords

Article
Publication date: 3 February 2023

Huyen Nguyen, Haihua Chen, Jiangping Chen, Kate Kargozari and Junhua Ding

This study aims to evaluate a method of building a biomedical knowledge graph (KG).

Abstract

Purpose

This study aims to evaluate a method of building a biomedical knowledge graph (KG).

Design/methodology/approach

This research first constructs a COVID-19 KG on the COVID-19 Open Research Data Set, covering information over six categories (i.e. disease, drug, gene, species, therapy and symptom). The construction used open-source tools to extract entities, relations and triples. Then, the COVID-19 KG is evaluated on three data-quality dimensions: correctness, relatedness and comprehensiveness, using a semiautomatic approach. Finally, this study assesses the application of the KG by building a question answering (Q&A) system. Five queries regarding COVID-19 genomes, symptoms, transmissions and therapeutics were submitted to the system and the results were analyzed.

Findings

With current extraction tools, the quality of the KG is moderate and difficult to improve, unless more efforts are made to improve the tools for entity extraction, relation extraction and others. This study finds that comprehensiveness and relatedness positively correlate with the data size. Furthermore, the results indicate the performances of the Q&A systems built on the larger-scale KGs are better than the smaller ones for most queries, proving the importance of relatedness and comprehensiveness to ensure the usefulness of the KG.

Originality/value

The KG construction process, data-quality-based and application-based evaluations discussed in this paper provide valuable references for KG researchers and practitioners to build high-quality domain-specific knowledge discovery systems.

Details

Information Discovery and Delivery, vol. 51 no. 4
Type: Research Article
ISSN: 2398-6247

Keywords

Article
Publication date: 14 October 2020

Haihua Chen, Yunhan Yang, Wei Lu and Jiangping Chen

Citation contexts have been found useful in many scenarios. However, existing context-based recommendations ignored the importance of diversity in reducing the redundant issues…

Abstract

Purpose

Citation contexts have been found useful in many scenarios. However, existing context-based recommendations ignored the importance of diversity in reducing the redundant issues and thus cannot cover the broad range of user interests. To address this gap, the paper aims to propose a novelty task that can recommend a set of diverse citation contexts extracted from a list of citing articles. This will assist users in understanding how other scholars have cited an article and deciding which articles they should cite in their own writing.

Design/methodology/approach

This research combines three semantic distance algorithms and three diversification re-ranking algorithms for the diversifying recommendation based on the CiteSeerX data set and then evaluates the generated citation context lists by applying a user case study on 30 articles.

Findings

Results show that a diversification strategy that combined “word2vec” and “Integer Linear Programming” leads to better reading experience for participants than other diversification strategies, such as CiteSeerX using a list sorted by citation counts.

Practical implications

This diversifying recommendation task is valuable for developing better systems in information retrieval, automatic academic recommendations and summarization.

Originality/value

The originality of the research lies in the proposal of a novelty task that can recommend a diversification context list describing how other scholars cited an article, thereby making citing decisions easier. A novel mixed approach is explored to generate the most efficient diversifying strategy. Besides, rather than traditional information retrieval evaluation, a user evaluation framework is introduced to reflect user information needs more objectively.

Article
Publication date: 20 April 2012

Kun Sun, Dichen Li, Haihua Wu, Minjie Wang and Xiaoyong Tian

The purpose of this paper is to bring up the concept of multi‐material electromagnetic band‐gap structure (EBGs) and develop a method for its fabrication. Meanwhile, its microwave…

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Abstract

Purpose

The purpose of this paper is to bring up the concept of multi‐material electromagnetic band‐gap structure (EBGs) and develop a method for its fabrication. Meanwhile, its microwave properties were studied and compared with the traditional EBGs consisting of two kinds of material.

Design/methodology/approach

Stereolithography (SL) and gel casting were used to fabricate 3D multi‐material EBGs. Resin mold was designed and fabricated based on SL process, slurries loaded with 55vol per cent Al2O3 and 55vol per cent TiO2, respectively, were prepared, and using gel casting, multilayer EBGs with diamond structure were fabricated. T/R method was used to obtain the characteristic parameter S21 of the EBGs; meanwhile, characters of their band structure were studied based on plane wave expansion method.

Findings

The fabricated EBGs with a TiO2‐resin‐air structure showed a band gap from 11.7 GHz to 16.0 GHz along <1, 1, 0> direction; the EBGs with a TiO2‐resin‐Al2O3 structure showed a band gap from 11.4 GHz to 11.9 GHz along <1, 1, 0> direction. Both of them agreed well with the simulation result. Also, through the study of multi‐material EBGs' microwave properties, it could be seen that this structure was a good approach to adjust the band gap.

Originality/value

With the concept of multi‐material EBG structure brought up, multilayer 3D EBGs were designed and fabricated based on SL combined with gel casting. It could be seen that multi‐material EBGs was a good approach to adjust the band gap. Also, the fact that the testing result matched the simulation validates the feasibility of the process.

Article
Publication date: 8 January 2018

Haihua Zhu and Jing Li

Three-dimensional digital design and manufacturing technology are changing the current manufacturing pattern and have become the core of enterprise competition. However, the…

Abstract

Purpose

Three-dimensional digital design and manufacturing technology are changing the current manufacturing pattern and have become the core of enterprise competition. However, the research and application of three-dimensional digital technology in the present phase have a strong bias toward the design of three-dimensional model and focus little on process planning. It restricts the development of manufacturing industry. Therefore, this paper aims to present a design scheme of three-dimensional digital process planning.

Design/methodology/approach

A three-dimensional digital process design method is developed by combining model-based definition technology and knowledge engineering technology. Model-based definition technology is used to display the process information. And knowledge engineering technology is used for process decision; meanwhile, ontology technology is introduced to describe process knowledge. And taking shaft part as an example, this paper establishes the general ontology of manufacturing process and the special ontology of shaft. This research provides an available method for the three-dimensional digital process planning.

Findings

Traditional process planning mainly is based on two-dimensional engineering drawing, which leads to the low efficiency and quality of process planning. Moreover, it cannot achieve effective mining and management of knowledge. Thus, applying an effective knowledge management technology into a three-dimensional process system is necessary.

Research limitations/implications

This paper contributes to an available method for three-dimensional digital process planning.

Originality/value

The introduction of model-based definition technology makes process information display in three-dimensional environment. And ontology technology achieves sematic reference and efficient management of process knowledge.

Details

Kybernetes, vol. 47 no. 4
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 17 January 2020

Yi Zhang, Haihua Zhu and Dunbing Tang

With the continuous upgrading of the production mode of the manufacturing system, the characteristics of multi-variety, small batch and mixed fluidization are presented, and the…

Abstract

Purpose

With the continuous upgrading of the production mode of the manufacturing system, the characteristics of multi-variety, small batch and mixed fluidization are presented, and the production environment becomes more and more complex. To improve the efficiency of solving multi-objective flexible job shop scheduling problem (FJSP), an improved hybrid particle swarm optimization algorithm (IH-PSO) is proposed.

Design/methodology/approach

After reviewing literatures on FJSP, an IH-PSO algorithm for solving FJSP is developed. First, IH-PSO algorithm draws on the crossover and mutation operations of genetic algorithm (GA) algorithm and proposes a new method for updating particles, which makes the offspring particles inherit the superior characteristics of the parent particles. Second, based on the improved simulated annealing (SA) algorithm, the method of updating the individual best particles expands the search scope of the domain and solves the problem of being easily trapped in local optimum. Finally, analytic hierarchy process (AHP) is used in this paper to solve the optimal solution satisfying multi-objective optimization.

Findings

Through the benchmark experiment and the production example experiment, it is verified that the proposed algorithm has the advantages of high quality of solution and fast speed of convergence.

Research limitations/implications

This method does not consider the unforeseen events that occur during the process of scheduling and cause the disruption of normal production scheduling activities, such as machine breakdown.

Practical implications

IH-PSO algorithm combines PSO algorithm with GA and SA algorithms. This algorithm retains the advantage of fast convergence speed of traditional PSO algorithm and has the characteristic of inheriting excellent genes. In addition, the improved SA algorithm is used to solve the problem of falling into local optimum.

Social implications

This research provides an efficient scheduling method for solving the FJSP problem.

Originality/value

This research proposes an IH-PSO algorithm to solve the FJSP more efficiently and meet the needs of multi-objective optimization.

Details

Kybernetes, vol. 49 no. 12
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 21 November 2019

Zhen Zhang, Haihua Chen and Bo Xiao

In a people-oriented society, it is necessary to understand the electronic word of mouth (eWOM) of information service of the government. Government affair microblogs (GAM), which…

Abstract

Purpose

In a people-oriented society, it is necessary to understand the electronic word of mouth (eWOM) of information service of the government. Government affair microblogs (GAM), which play an important role in orienting online opinions, listening to public voices, establishing government image, is an ideal channel to achieve this goal. In essence, the application of GAM is to improve the communication efficiency between the government and the public. The purpose of this study is to the influence factors of GAM eWOM which will not only benefits the government in better understanding the information dissemination rules of microblogs but also provides directions for the government to improve the information service over microblogs.

Design/methodology/approach

In this paper, the authors investigate and verify the regulating function, herd effect applied on GAM. The authors conduct an innovative empirical study based on perceived value theory, aiming to explore the factors that influence the eWOM of the Chinese Government.

Findings

Experiments on 502 GAM users show that social identification positively affects perceived value while effort cost negatively affects perceived value, and perceived value positively influences the microblogs’ eWOM. The authors also find that the herd effect positively regulates the relationship between perceived value and GAM’s eWOM. Theoretical and practical implications of these findings are discussed.

Originality/value

In this research, the regulating effect of herd effect on the relationship between perceived value and GAM’s eWOM has been explored. This study also provides inspirations for future government information service research and administrative measurement.

Details

Information Discovery and Delivery, vol. 47 no. 4
Type: Research Article
ISSN: 2398-6247

Keywords

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