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Available. Open Access. Open Access
Article
Publication date: 21 May 2021

Yue Huang, Hu Liu and Jing Pan

Identifying the frontiers of a specific research field is one of the most basic tasks in bibliometrics and research published in leading conferences is crucial to the data mining…

1247

Abstract

Purpose

Identifying the frontiers of a specific research field is one of the most basic tasks in bibliometrics and research published in leading conferences is crucial to the data mining research community, whereas few research studies have focused on it. The purpose of this study is to detect the intellectual structure of data mining based on conference papers.

Design/methodology/approach

This study takes the authoritative conference papers of the ranking 9 in the data mining field provided by Google Scholar Metrics as a sample. According to paper amount, this paper first detects the annual situation of the published documents and the distribution of the published conferences. Furthermore, from the research perspective of keywords, CiteSpace was used to dig into the conference papers to identify the frontiers of data mining, which focus on keywords term frequency, keywords betweenness centrality, keywords clustering and burst keywords.

Findings

Research showed that the research heat of data mining had experienced a linear upward trend during 2007 and 2016. The frontier identification based on the conference papers showed that there were five research hotspots in data mining, including clustering, classification, recommendation, social network analysis and community detection. The research contents embodied in the conference papers were also very rich.

Originality/value

This study detected the research frontier from leading data mining conference papers. Based on the keyword co-occurrence network, from four dimensions of keyword term frequency, betweeness centrality, clustering analysis and burst analysis, this paper identified and analyzed the research frontiers of data mining discipline from 2007 to 2016.

Details

International Journal of Crowd Science, vol. 5 no. 2
Type: Research Article
ISSN: 2398-7294

Keywords

Available. Open Access. Open Access
Article
Publication date: 11 April 2023

Wenhao Yi, Mingnian Wang, Jianjun Tong, Siguang Zhao, Jiawang Li, Dengbin Gui and Xiao Zhang

The purpose of the study is to quickly identify significant heterogeneity of surrounding rock of tunnel face that generally occurs during the construction of large-section rock…

334

Abstract

Purpose

The purpose of the study is to quickly identify significant heterogeneity of surrounding rock of tunnel face that generally occurs during the construction of large-section rock tunnels of high-speed railways.

Design/methodology/approach

Relying on the support vector machine (SVM)-based classification model, the nominal classification of blastholes and nominal zoning and classification terms were used to demonstrate the heterogeneity identification method for the surrounding rock of tunnel face, and the identification calculation was carried out for the five test tunnels. Then, the suggestions for local optimization of the support structures of large-section rock tunnels were put forward.

Findings

The results show that compared with the two classification models based on neural networks, the SVM-based classification model has a higher classification accuracy when the sample size is small, and the average accuracy can reach 87.9%. After the samples are replaced, the SVM-based classification model can still reach the same accuracy, whose generalization ability is stronger.

Originality/value

By applying the identification method described in this paper, the significant heterogeneity characteristics of the surrounding rock in the process of two times of blasting were identified, and the identification results are basically consistent with the actual situation of the tunnel face at the end of blasting, and can provide a basis for local optimization of support parameters.

Details

Railway Sciences, vol. 2 no. 1
Type: Research Article
ISSN: 2755-0907

Keywords

Available. Open Access. Open Access
Book part
Publication date: 3 December 2024

F. Sehkar Fayda-Kinik and Aylin Kirisci-Sarikaya

Migration has become a challenging issue in the field of education and an ongoing crisis for many countries. The migration crisis and education have a reciprocal relationship in…

Abstract

Migration has become a challenging issue in the field of education and an ongoing crisis for many countries. The migration crisis and education have a reciprocal relationship in that the influx of migrants puts a strain on educational systems, particularly regarding resources, funding, and linguistic and cultural differences. However, education can play a crucial role in addressing some of the challenges associated with migration, such as the need to integrate, skill acquisition and cultural awareness in host countries, as well as brain drain in the countries of origin. It is crucial to investigate how education can both address the problems caused by migration and maximise its potential for sustainable development. This chapter targets analysing relevant scholarship and aims to illustrate the broad patterns of relevant scholarly sources on migration in the field of education indexed in the Web of Science between 2015 and 2022, explore their collaboration trends, and reveal the conceptual structure of these studies in the context of international sustainable development. A bibliometric methodology is employed for the exploration and analysis of the publications; 991 studies on migration in the field of education are descriptively analysed in terms of distribution of publications with their citations, topics at the micro level, journals, and the number of authors contributing to these papers. The results contribute to picturing the characteristics and collaboration trend of the scholarly sources on migration in the area of education as a challenging disabler or a driving force that contributes to societal development within the scope of international sustainable development.

Details

Education and Sustainable Development in the Context of Crises: International Case Studies of Transformational Change
Type: Book
ISBN: 978-1-83797-773-4

Keywords

Available. Open Access. Open Access
Article
Publication date: 15 November 2018

Wu Fuxiang and Cai Yue

At present, China’s industrial spatial layout faces the predicament of over-agglomeration of Eastern China industries and the near disintegration of industrial structure in the…

1568

Abstract

Purpose

At present, China’s industrial spatial layout faces the predicament of over-agglomeration of Eastern China industries and the near disintegration of industrial structure in the central and western regions. The paper aims to discuss this issue.

Design/methodology/approach

Based on the perspective of differentiated inter-regional labor mobility, this paper constructed a model framework of quadratic sub-utility quasi-linear preference utility function, and conducted model deduction and numerical simulation on causal factors of this spatial imbalance along the two dimensions of individual and regional welfare.

Findings

The study finds that in the long run, industrial spatial layout imposes a certain threshold limit on the portfolio proportion of differentiated labor. The dilemma of China’s industrial spatial layout is attributable to the deviation of the market’s optimal agglomeration from the social optimal agglomeration, and to the disfunction of Eastern China’s role as an intermediary between the global and the domestic value chain.

Originality/value

To resolve this predicament of industrial layout, the unitary welfare compensation based on fiscal transfer payment has to be switched to a more comprehensive approach giving consideration to industrial rebalancing.

Details

China Political Economy, vol. 1 no. 2
Type: Research Article
ISSN: 2516-1652

Keywords

Available. Open Access. Open Access
Article
Publication date: 8 July 2024

Fan Zhang

This paper aims to study the impact of CEOs' cultural background on corporate innovation. The paper constructs a measure of CEOs' cultural individualism based on their birthplaces…

587

Abstract

Purpose

This paper aims to study the impact of CEOs' cultural background on corporate innovation. The paper constructs a measure of CEOs' cultural individualism based on their birthplaces and investigates its relationship with firms' patents and citations. The study aims to shed light on the interaction of culture and corporate decisions and focuses on the role of top managers. The paper also investigates the mechanism of how top management can affect corporate innovation output.

Design/methodology/approach

The paper constructs the measure of individualism using the westward expansion in US history. To do so, the paper uses the US county-level duration of exposure of the frontier territory in the 19th century and links the counties to CEOs' birthplaces. The paper argues the cultural characteristics of birthplaces can affect a person's later management styles and decisions, hence affecting corporate innovation policies. Using regression and difference-in-differences estimations, the paper explores the relation and causality between cultural individualism and innovation output.

Findings

The paper finds that CEO cultural individualism is positively related with the number of patents produced by the firm and the citations received by the firm. Difference-in-differences tests using CEO turnovers support that the relation is causal. The paper also investigates the economic mechanism of how individualistic CEOs achieve such results. It finds that individualistic CEOs tend to hire more talented employees and improve the workplace environment to attract top inventors.

Originality/value

This paper provides firm-level evidence of culture and innovation. Prior studies in this area focus on cross-country evidence and suffer the limitation of confounding factors. Using a county-level measure of individualism and a sample of firms in USA, the paper alleviates the concern and provides evidence with better granularity. This paper also provides a novel mechanism for attracting top inventors, while existing literature tend to focus on risk-taking activities.

Details

China Accounting and Finance Review, vol. 26 no. 3
Type: Research Article
ISSN: 1029-807X

Keywords

Available. Open Access. Open Access
Article
Publication date: 24 November 2021

Ruonan Liu, Yuhui Yue, Dongling Miao and Baodong Cheng

This article will select 25 years of subdivided data to perform Kaplan–Meier survival analysis on the export trade relations of Chinese wooden flooring, use discrete-time cloglog…

827

Abstract

Purpose

This article will select 25 years of subdivided data to perform Kaplan–Meier survival analysis on the export trade relations of Chinese wooden flooring, use discrete-time cloglog models to analyze influencing factors, use logit and probit models to test the robustness, and try to systematically reveal the duration of China's wood flooring export trade and its influencing factors.

Design/methodology/approach

This study used Kaplan–Meier survival function estimation method. In the survival analysis, survival function and hazard rate function are often used to characterize the distribution of survival time.

Findings

The continuous average export time of China's wooden flooring is relatively long, about 14 years. China's wooden flooring has a negative time dependency. After the export trade exceeds the threshold value of 15 years, the failure rate of trade greatly decreases, which has a “threshold effect.” Gravity model variables have a significant impact on the duration of China's wooden floor export.

Originality/value

Studying the duration of forest products trade is of great significance for clearing deep-level trade relations and promoting sustainable development of forest products trade.

Details

Forestry Economics Review, vol. 3 no. 1
Type: Research Article
ISSN: 2631-3030

Keywords

Available. Open Access. Open Access
Article
Publication date: 1 April 2024

Ying Miao, Yue Shi and Hao Jing

This study investigates the relationships among digital transformation, technological innovation, industry–university–research collaborations and labor income share in…

2180

Abstract

Purpose

This study investigates the relationships among digital transformation, technological innovation, industry–university–research collaborations and labor income share in manufacturing firms.

Design/methodology/approach

The relationships are tested using an empirical method, constructing regression models, by collecting 1,240 manufacturing firms and 9,029 items listed on the A-share market in China from 2013 to 2020.

Findings

The results indicate that digital transformation has a positive effect on manufacturing companies’ labor income share. Technological innovation can mediate the effect of digital transformation on labor income share. Industry–university–research cooperation can positively moderate the promotion effect of digital transformation on labor income share but cannot moderate the mediating effect of technological innovation. Heterogeneity analysis also found that firms without service-based transformation and nonstate-owned firms are better able to increase their labor income share through digital transformation.

Originality/value

This study provides a new path to increase the labor income share of enterprises to achieve common prosperity, which is important for manufacturing enterprises to better transform and upgrade to achieve high-quality development.

Available. Open Access. Open Access
Article
Publication date: 30 January 2025

Muzammil Hussain, Trong Tuan Luu and Timothy Marjoribanks

Healthcare is a service industry where fulfilling the needs of patients (customers) is challenging. Various factors, including cost, system complexity, staffing behaviours and…

85

Abstract

Purpose

Healthcare is a service industry where fulfilling the needs of patients (customers) is challenging. Various factors, including cost, system complexity, staffing behaviours and technological advances, play vital roles. Drawing upon social exchange theory, this study seeks to determine how paternalistic leadership (authoritarianism, benevolence and morality) influences employee service innovative behaviour and counterproductive work behaviour via perceived supervisor support in the healthcare sector. Additionally, the study investigates the role of the public service motivation of individuals as a moderating factor in this relationship.

Design/methodology/approach

A pilot study and a main study were conducted to test the hypotheses. We collected data from healthcare professionals in Pakistan’s large public, private and semi-government hospitals. We applied bootstrapping with 5,000 replications and structural equation modelling to analyse the data.

Findings

Results indicate that authoritarianism was negatively associated with service innovative behaviour, whereas benevolent and moral behaviours were positively associated with service innovative behaviour via perceived supervisor support (mediation). Our findings shed light on the moderating role of public service motivation.

Originality/value

This empirical quantitative study has several theoretical and practical implications. Findings of our study provide evidence that a paternalistic leadership style can influence both positive (service innovative behaviour) and negative (counterproductive working behaviour) working behaviours simultaneously via perceived supervisor support at an individual level in the service (healthcare) industry. This study also highlights the moderating role of public service motivation as an individual motivation factor.

Details

Journal of Health Organization and Management, vol. 39 no. 9
Type: Research Article
ISSN: 1477-7266

Keywords

Available. Open Access. Open Access
Article
Publication date: 16 October 2017

Ray Zhong, Xun Xu and Lihui Wang

The purpose of this paper is to review the food supply chain management (FSCM) in terms of systems and implementations so that observations and lessons from this research could be…

122156

Abstract

Purpose

The purpose of this paper is to review the food supply chain management (FSCM) in terms of systems and implementations so that observations and lessons from this research could be useful for academia and industrial practitioners in the future.

Design/methodology/approach

A systematical and hierarchical framework is proposed in this paper to review the literature. Categorizations and classifications are identified to organize this paper.

Findings

This paper reviews total 192 articles related to the data-driven systems for FSCM. Currently, there is a dramatic increase of research papers related to this topic. Looking at the general interests on FSCM, research on this topic can be expected to increase in the future.

Research limitations/implications

This paper only selected limited number of papers which are published in leading journals or with high citations. For simplicity without generality, key findings and observations are significant from this research.

Practical implications

Some ideas from this paper could be expanded into other possible domains so that involved parties are able to be inspired for enriching the FSCM. Future implementations are useful for practitioners to conduct IT-based solutions for FSCM.

Social implications

As the increasing of digital devices in FSCM, large number of data will be used for decision-makings. Data-driven systems for FSCM will be the future for a more sustainable food supply chain.

Originality/value

This is the first attempt to provide a comprehensive review on FSCM from the view of data-driven IT systems.

Details

Industrial Management & Data Systems, vol. 117 no. 9
Type: Research Article
ISSN: 0263-5577

Keywords

Available. Open Access. Open Access
Article
Publication date: 18 November 2024

Xiaoyu Zheng and Wenzhen Li

This study investigates whether Chinese local governments’ environmental attention can mitigate corporate “greenwashing”, focusing on the extent of environmental content in annual…

364

Abstract

Purpose

This study investigates whether Chinese local governments’ environmental attention can mitigate corporate “greenwashing”, focusing on the extent of environmental content in annual government work reports as indicative of government environmental attention. This study aims to determine whether enterprises respond to changes in local governmental attention by improving the quality of their environmental information disclosures.

Design/methodology/approach

Data from China’s A-share listed companies spanning 2013–2021 were sourced from the CSMAR database and company annual reports. Environmental attention data were manually gathered from local government work reports published on official local government websites by using text analysis methods. These datasets were analyzed empirically to assess the impact of local governments’ environmental attention on corporate greenwashing behavior.

Findings

Results show that increased governmental environmental attention significantly reduces corporate greenwashing behavior by alleviating corporate financing constraints, enhancing independent engagement in environmental initiatives and bolstering stakeholder oversight. Moreover, heterogeneity analysis indicates that the influence of government environmental concerns is pronounced in non-state-owned enterprises, firms with subpar audit quality and those exhibiting myopic management tendencies.

Originality/value

This study enriches the existing literature on the government–business nexus. It also introduces methodological innovations by employing a lexical analysis of environmental themes in local government work reports instead of using typical event study approaches. Furthermore, it uses a mediating effect model to identify the mechanisms through which government environmental attention influences corporate greenwashing, namely, government subsidies, corporate environmental initiatives and external stakeholder oversight.

Details

Journal of Asian Business and Economic Studies, vol. 31 no. 5
Type: Research Article
ISSN: 2515-964X

Keywords

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