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Article
Publication date: 27 June 2024

Zhiwei Li, Dingding Li, Yulong Zhou, Haoping Peng, Aijun Xie and Jianhua Wang

This paper aims to contribute to the performance improvement and the broader application of hot-dip galvanized coating.

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Abstract

Purpose

This paper aims to contribute to the performance improvement and the broader application of hot-dip galvanized coating.

Design/methodology/approach

First, the ability to provide barrier protection, galvanic protection, and corrosion product protection provided by hot-dip galvanized coating is introduced. Then, according to the varying Fe content, the growth process of each sublayer within the hot-dip galvanized coating, as well as their respective microstructures and physical properties, is presented. Finally, the electrochemical corrosion behaviors of the different sublayers are analyzed.

Findings

The hot-dip galvanized coating is composed of η-Zn sublayer, ζ-FeZn13 sublayer, δ-FeZn10 sublayer, and Γ-Fe3Zn10 sublayer. Among these sublayers, with the increase in Fe content, the corrosion potential moves in a noble direction.

Research limitations/implications

There is a lack of research on the corrosion behavior of each sublayer of hot-dip galvanized coating in different electrolytes.

Practical implications

It provides theoretical guidance for the microstructure control and performance improvement of hot-dip galvanized coatings.

Originality/value

The formation mechanism, coating properties, and corrosion behavior of different sublayers in hot-dip galvanized coating are expounded, which offers novel insights and directions for future research.

Details

Anti-Corrosion Methods and Materials, vol. 71 no. 5
Type: Research Article
ISSN: 0003-5599

Keywords

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Book part
Publication date: 16 December 2009

Yiguo Sun, Raymond J. Carroll and Dingding Li

We consider the problem of estimating a varying coefficient panel data model with fixed-effects (FE) using a local linear regression approach. Unlike first-differenced estimator…

Abstract

We consider the problem of estimating a varying coefficient panel data model with fixed-effects (FE) using a local linear regression approach. Unlike first-differenced estimator, our proposed estimator removes FE using kernel-based weights. This results a one-step estimator without using the backfitting technique. The computed estimator is shown to be asymptotically normally distributed. A modified least-squared cross-validatory method is used to select the optimal bandwidth automatically. Moreover, we propose a test statistic for testing the null hypothesis of a random-effects varying coefficient panel data model against an FE one. Monte Carlo simulations show that our proposed estimator and test statistic have satisfactory finite sample performance.

Details

Nonparametric Econometric Methods
Type: Book
ISBN: 978-1-84950-624-3

Available. Content available
Book part
Publication date: 16 December 2009

Abstract

Details

Nonparametric Econometric Methods
Type: Book
ISBN: 978-1-84950-624-3

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Book part
Publication date: 16 December 2009

Qi Li and Jeffrey S. Racine

Identification and inference are central to applied analysis, and two papers examine these issues, the first being theoretical in nature and the second being simulation based.

Abstract

Identification and inference are central to applied analysis, and two papers examine these issues, the first being theoretical in nature and the second being simulation based.

Details

Nonparametric Econometric Methods
Type: Book
ISBN: 978-1-84950-624-3

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Article
Publication date: 3 February 2020

Dingding Xiang, Xipeng Tan, Zhenhua Liao, Jinmei He, Zhenjun Zhang, Weiqiang Liu, Chengcheng Wang and Beng Tor Shu

This paper aims to study the wear properties of electron beam melted Ti6Al4V (EBM-Ti6Al4V) in simulated body fluids for orthopedic implant biomedical applications compared with…

366

Abstract

Purpose

This paper aims to study the wear properties of electron beam melted Ti6Al4V (EBM-Ti6Al4V) in simulated body fluids for orthopedic implant biomedical applications compared with wrought Ti6Al4V (Wr-Ti6Al4V).

Design/methodology/approach

Wear properties of EBM-Ti6Al4V compared with Wr-Ti6Al4V against ZrO2 and Al2O3 have been investigated under dry friction and the 25 Wt.% newborn calf serum (NCS) lubricated condition using a ball-on-disc apparatus reciprocating motion. The microstructure, composition and hardness of the samples were characterized using scanning electron microscopy (SEM), x-ray diffraction and a hardness tester, respectively. The contact angles with 25 Wt.% NCS were measured by a contact angle apparatus. The wear parameters, wear 2D and 3D morphology were obtained using a 3D white light interferometer and SEM.

Findings

EBM-Ti6Al4V yields a higher contact angle than the Wr-Ti6Al4V with the 25 Wt.% NCS. EBM-Ti6Al4V couplings exhibit lower coefficients of friction compared with the Wr-Ti6Al4V couplings under both conditions. There is only a slight difference in the wear resistance between the Wr-Ti6Al4V and EBM-Ti6Al4V alloys. Both Wr-Ti6Al4V and EBM-Ti6Al4V suffer from similar friction and wear mechanisms, i.e. adhesive and abrasive wear in dry friction, while abrasive wear under the NCS condition. The wear depth and wear volume of the ZrO2 couplings are lower than those of the Al2O3 couplings under both conditions.

Originality/value

This paper helps to establish baseline bio-tribological data of additively manufactured Ti6Al4V by electron beam melting in simulated body fluids for orthopedic applications, which will promote the application of additive manufacturing in producing the orthopedic implant.

Details

Rapid Prototyping Journal, vol. 26 no. 5
Type: Research Article
ISSN: 1355-2546

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Article
Publication date: 28 August 2024

Ayesha Masood, Dan Ding, Reeti Agarwal, Shivinder Nijjer and Pasquale Sasso

The purpose of this study is to examine the intricate dynamics within the hospitality service sector, which predominantly employs low-wage and low-skilled workers. These employees…

180

Abstract

Purpose

The purpose of this study is to examine the intricate dynamics within the hospitality service sector, which predominantly employs low-wage and low-skilled workers. These employees frequently encounter challenges related to breaches in their psychological contracts. Despite their critical role in customer service, their experiences are often overlooked in organizational inclusion research. We investigate the relationship between employees’ perceptions of organizational inclusion and their assessments of organizational ethical virtues (OEVs), considering the potential moderating effect of psychological contract breach. Furthermore, it explores how these factors influence customer- and organizationdirected organizational citizenship behaviors (OCBs).

Design/methodology/approach

Our research design incorporates a two-stage moderated-mediation model to test our proposed hypotheses empirically. A two-source sample of 451 European hotel managers and employees extends the inquiry with the proposed model. Structural Equation Modeling (SEM) was employed to analyze the proposed relationships.

Findings

Findings reveal that organization inclusion is positively associated with OEV and employee-perceived OEV mediates an indirect link between organization inclusion on customer-oriented OCB. Moreover, psychological contract breach (P CB) attenuates the association between organization inclusion and OEV at the first stage and OEV, and OCB at the second stage.

Originality/value

The findings robustly corroborate our proposed model. The study findings culminate in a discussion accentuating the extensive implications of our findings for both research and practicality within the hospitality sector. Anchored in empirical revelations, we delineate avenues for future exploration in this pivotal domain.

Details

Journal of Knowledge Management, vol. 28 no. 10
Type: Research Article
ISSN: 1367-3270

Keywords

Available. Open Access. Open Access
Article
Publication date: 13 July 2023

Chong Guan, Ding Ding, Jiancang Guo and Yun Teng

This paper reviews the extant research on Web3.0 published between 2003 and 2022.

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Abstract

Purpose

This paper reviews the extant research on Web3.0 published between 2003 and 2022.

Design/methodology/approach

This study uses a topic modeling procedure latent Dirichlet allocation to uncover the research themes and the key phrases associated with each theme.

Findings

This study uncovers seven research themes that have been featured in the existing research. In particular, the study highlights the interaction among the research themes that contribute to the understanding of a number of solutions, applications and use cases, such as metaverse and non-fungible tokens.

Research limitations/implications

Despite the relatively small data size of the study, the results remain significant as they contribute to a more profound comprehension of the relevant field and offer guidance for future research directions. The previous analysis revealed that the current Web3.0 technology is still encountering several challenges. Building upon the pioneering research in the field of blockchain, decentralized networks, smart contracts and algorithms, the study proposes an exploratory agenda for future research from an ecosystem approach, targeting to enhance the current state of affairs.

Originality/value

Although topics around Web3.0 have been discussed intensively among the crypto community and technological enthusiasts, there is limited research that provides a comprehensive description of all the related issues and an in-depth analysis of their real-world implications from an ecosystem perspective.

Details

Journal of Electronic Business & Digital Economics, vol. 2 no. 1
Type: Research Article
ISSN: 2754-4214

Keywords

Available. Open Access. Open Access
Article
Publication date: 19 December 2023

Qinxu Ding, Ding Ding, Yue Wang, Chong Guan and Bosheng Ding

The rapid rise of large language models (LLMs) has propelled them to the forefront of applications in natural language processing (NLP). This paper aims to present a comprehensive…

4395

Abstract

Purpose

The rapid rise of large language models (LLMs) has propelled them to the forefront of applications in natural language processing (NLP). This paper aims to present a comprehensive examination of the research landscape in LLMs, providing an overview of the prevailing themes and topics within this dynamic domain.

Design/methodology/approach

Drawing from an extensive corpus of 198 records published between 1996 to 2023 from the relevant academic database encompassing journal articles, books, book chapters, conference papers and selected working papers, this study delves deep into the multifaceted world of LLM research. In this study, the authors employed the BERTopic algorithm, a recent advancement in topic modeling, to conduct a comprehensive analysis of the data after it had been meticulously cleaned and preprocessed. BERTopic leverages the power of transformer-based language models like bidirectional encoder representations from transformers (BERT) to generate more meaningful and coherent topics. This approach facilitates the identification of hidden patterns within the data, enabling authors to uncover valuable insights that might otherwise have remained obscure. The analysis revealed four distinct clusters of topics in LLM research: “language and NLP”, “education and teaching”, “clinical and medical applications” and “speech and recognition techniques”. Each cluster embodies a unique aspect of LLM application and showcases the breadth of possibilities that LLM technology has to offer. In addition to presenting the research findings, this paper identifies key challenges and opportunities in the realm of LLMs. It underscores the necessity for further investigation in specific areas, including the paramount importance of addressing potential biases, transparency and explainability, data privacy and security, and responsible deployment of LLM technology.

Findings

The analysis revealed four distinct clusters of topics in LLM research: “language and NLP”, “education and teaching”, “clinical and medical applications” and “speech and recognition techniques”. Each cluster embodies a unique aspect of LLM application and showcases the breadth of possibilities that LLM technology has to offer. In addition to presenting the research findings, this paper identifies key challenges and opportunities in the realm of LLMs. It underscores the necessity for further investigation in specific areas, including the paramount importance of addressing potential biases, transparency and explainability, data privacy and security, and responsible deployment of LLM technology.

Practical implications

This classification offers practical guidance for researchers, developers, educators, and policymakers to focus efforts and resources. The study underscores the importance of addressing challenges in LLMs, including potential biases, transparency, data privacy, and responsible deployment. Policymakers can utilize this information to shape regulations, while developers can tailor technology development based on the diverse applications identified. The findings also emphasize the need for interdisciplinary collaboration and highlight ethical considerations, providing a roadmap for navigating the complex landscape of LLM research and applications.

Originality/value

This study stands out as the first to examine the evolution of LLMs across such a long time frame and across such diversified disciplines. It provides a unique perspective on the key areas of LLM research, highlighting the breadth and depth of LLM’s evolution.

Details

Journal of Electronic Business & Digital Economics, vol. 3 no. 1
Type: Research Article
ISSN: 2754-4214

Keywords

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Article
Publication date: 25 January 2024

Lulu LI

This study aims to answer two questions: (a) what obstacles and opportunities do Chinese female entrepreneurs face when doing business? And (b) how do they negotiate their…

272

Abstract

Purpose

This study aims to answer two questions: (a) what obstacles and opportunities do Chinese female entrepreneurs face when doing business? And (b) how do they negotiate their entrepreneurial careers and gender identities in different gender-segregated markets?

Design/methodology/approach

This study uses qualitative research methods of participant observation and in-depth interviews with 41 female entrepreneurs in China and the theoretical lenses of gender role theory and doing gender in entrepreneurship.

Findings

The study findings reveal that Chinese female entrepreneurs face different obstacles and opportunities in gender-segregated industries. Their experiences vary in industries that are mainly occupied by males and females. On the one hand, women in female-dominated industries may be supported by a feminine working environment that is coherent with their domestic roles. However, they may also be questioned on the cultural impurity implied in some industries, which harms their class-based feminine virtue. On the other hand, women in male-dominated industries may be challenged and marginalized due to their gender. However, some find ways to turn the disadvantaged feminine characters into favourable conditions and break out of the stereotypical gender constraints in doing business.

Originality/value

This study contributes to the literature on gender and entrepreneurship in general. More specifically, it contributes to the study of doing gender in gender-segregated markets, and it also illustrates women’s gendered opportunities and constraints in Chinese society that are affected by the long-lasting traditional gender norms.

Details

Gender in Management: An International Journal, vol. 39 no. 7
Type: Research Article
ISSN: 1754-2413

Keywords

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Article
Publication date: 13 November 2024

Junli Wang, Ling Yuan and Zhihong Tan

This study explores the potential impact of enterprise social media (ESM) communication visibility on knowledge sabotage to reduce knowledge sabotage within organizations.

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Abstract

Purpose

This study explores the potential impact of enterprise social media (ESM) communication visibility on knowledge sabotage to reduce knowledge sabotage within organizations.

Design/methodology/approach

We collected data from 389 Chinese employees across three stages and used hierarchical regression analysis and the bootstrap method to test our hypotheses.

Findings

Communication visibility negatively affects knowledge sabotage, and the loss of knowledge power mediates the relationship between communication visibility and knowledge sabotage. Digital work connectivity strengthens the negative relationship between message transparency and loss of knowledge power but weakens the negative relationship between network translucence and loss of knowledge power. Therefore, digital work connectivity plays a dual role.

Practical implications

Managers can encourage employees to share their knowledge advantages through ESM and seek cross-disciplinary knowledge cooperation, which helps restrain knowledge sabotage from the source. At the same time, maintaining appropriate digital work connectivity enables employees to leverage their knowledge interaction advantages of ESM, thereby fostering their knowledge competitiveness.

Originality/value

This study is the first to reveal the internal mechanism (loss of knowledge power) through which ESM communication visibility affects knowledge sabotage and explores the boundary condition (digital work connectivity) impacting the effectiveness of communication visibility. It contributes to a deeper understanding of the inherent nature of knowledge sabotage from an information technology perspective and offers novel technical insights into its management.

Details

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

Keywords

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