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Article
Publication date: 19 January 2024

Yaowei Zhang, Tiantian Cao, Siqi Liu and Shuqi Chen

The inconsistent results shown in previous group faultline research have created a need for investigating the underlying mechanisms of the faultline's effects. This study focuses…

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Abstract

Purpose

The inconsistent results shown in previous group faultline research have created a need for investigating the underlying mechanisms of the faultline's effects. This study focuses on clarifying the competing mediating roles of information diversity and team conflict in the nonlinear relationship between board faultlines (BF) and decision quality.

Design/methodology/approach

This study is empirically tested with the questionnaire data from 105 Chinese listed companies.

Findings

This study finds: (1) an inverted U-shaped curve relationship between BF and board decision quality and (2) that the joint mediating effect of team conflict and information diversity leads to the inverted U-shaped curve relationship between BF and decision quality. Specifically, BF shows a U-shaped curve relationship with team conflict and an inverted U-shaped curve relationship with information diversity. Either too weak or too strong faultlines will inhibit the positive effects of information diversity and amplify the negative effects of team conflicts, leading to low-quality decisions.

Originality/value

This study contributes to the research on: (1) board governance as it clarifies the effect of BF on the board decision-making process and its quality, which helps to open the black box of board decision-making and (2) group faultlines as it reveals how information diversity and team conflict can play a joint mediating role in the functioning of team faultlines.

Details

American Journal of Business, vol. 39 no. 2
Type: Research Article
ISSN: 1935-519X

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Article
Publication date: 5 December 2024

Tiantian Cao, Weian Li, Yaowei Zhang and Xingye Chen

This study aims to elucidate the causal relationship between corporate greenwashing and celebrity leaders.

77

Abstract

Purpose

This study aims to elucidate the causal relationship between corporate greenwashing and celebrity leaders.

Design/methodology/approach

This study considers winning the National Model Worker Award as an external shock for producing celebrity leaders and conducts a difference-in-difference (DID) estimation with listed companies from 2009 to 2022 in the Chinese context.

Findings

The findings indicate an increase in greenwashing of companies with celebrity leaders in the post-award period. Stakeholder pressure can moderate the effect of celebrity leaders on corporate greenwashing.

Originality/value

This study enriches the research on the antecedents of greenwashing and the impacts of celebrity leaders. The findings advance the understanding of the real effect of celebrity leaders on environmental, social and governance (ESG) efforts and provide new insights into how celebrities respond to legitimacy pressures.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

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Article
Publication date: 15 February 2024

Songlin Bao, Tiantian Li and Bin Cao

In the era of big data, various industries are generating large amounts of text data every day. Simplifying and summarizing these data can effectively serve users and improve…

322

Abstract

Purpose

In the era of big data, various industries are generating large amounts of text data every day. Simplifying and summarizing these data can effectively serve users and improve efficiency. Recently, zero-shot prompting in large language models (LLMs) has demonstrated remarkable performance on various language tasks. However, generating a very “concise” multi-document summary is a difficult task for it. When conciseness is specified in the zero-shot prompting, the generated multi-document summary still contains some unimportant information, even with the few-shot prompting. This paper aims to propose a LLMs prompting for multi-document summarization task.

Design/methodology/approach

To overcome this challenge, the authors propose chain-of-event (CoE) prompting for multi-document summarization (MDS) task. In this prompting, the authors take events as the center and propose a four-step summary reasoning process: specific event extraction; event abstraction and generalization; common event statistics; and summary generation. To further improve the performance of LLMs, the authors extend CoE prompting with the example of summary reasoning.

Findings

Summaries generated by CoE prompting are more abstractive, concise and accurate. The authors evaluate the authors’ proposed prompting on two data sets. The experimental results over ChatGLM2-6b show that the authors’ proposed CoE prompting consistently outperforms other typical promptings across all data sets.

Originality/value

This paper proposes CoE prompting to solve MDS tasks by the LLMs. CoE prompting can not only identify the key events but also ensure the conciseness of the summary. By this method, users can access the most relevant and important information quickly, improving their decision-making processes.

Details

International Journal of Web Information Systems, vol. 20 no. 3
Type: Research Article
ISSN: 1744-0084

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Article
Publication date: 5 July 2023

Yuxiang Shan, Qin Ren, Gang Yu, Tiantian Li and Bin Cao

Internet marketing underground industry users refer to people who use technology means to simulate a large number of real consumer behaviors to obtain marketing activities rewards…

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Abstract

Purpose

Internet marketing underground industry users refer to people who use technology means to simulate a large number of real consumer behaviors to obtain marketing activities rewards illegally, which leads to increased cost of enterprises and reduced effect of marketing. Therefore, this paper aims to construct a user risk assessment model to identify potential underground industry users to protect the interests of real consumers and reduce the marketing costs of enterprises.

Design/methodology/approach

Method feature extraction is based on two aspects. The first aspect is based on traditional statistical characteristics, using density-based spatial clustering of applications with noise clustering method to obtain user-dense regions. According to the total number of users in the region, the corresponding risk level of the receiving address is assigned. So that high-quality address information can be extracted. The second aspect is based on the time period during which users participate in activities, using frequent item set mining to find multiple users with similar operations within the same time period. Extract the behavior flow chart according to the user participation, so that the model can mine the deep relationship between the participating behavior and the underground industry users.

Findings

Based on the real underground industry user data set, the features of the data set are extracted by the proposed method. The features are experimentally verified by different models such as random forest, fully-connected layer network, SVM and XGBOST, and the proposed method is comprehensively evaluated. Experimental results show that in the best case, our method can improve the F1-score of traditional models by 55.37%.

Originality/value

This paper investigates the relative importance of static information and dynamic behavior characteristics of users in predicting underground industry users, and whether the absence of features of these categories affects the prediction results. This investigation can go a long way in aiding further research on this subject and found the features which improved the accuracy of predicting underground industry users.

Details

International Journal of Web Information Systems, vol. 19 no. 2
Type: Research Article
ISSN: 1744-0084

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Article
Publication date: 16 September 2024

Yifan Zhan, Tian Xiao, Tiantian Zhang, Wai Kin Leung and Hing Kai Chan

This study examines whether common directors are guilty of contagion of corporate frauds from the customer side and, if so, how contagion occurs. Moreover, it explores a way to…

134

Abstract

Purpose

This study examines whether common directors are guilty of contagion of corporate frauds from the customer side and, if so, how contagion occurs. Moreover, it explores a way to mitigate it, which is the increased digital orientation of firms.

Design/methodology/approach

Secondary data analysis is applied in this paper. We extract supply chain relations from the China Stock Market and Account Research (CSMAR) database as well as corporate fraud data from the same database and the official website of the China Securities Regulatory Commission (CSRC). Digital orientations are estimated through text analysis. Poisson regression is conducted to examine the moderating effect of common directors and the moderated moderating effect of the firms’ digital orientations.

Findings

By analysing the 2,096 downstream relations from 2000 to 2021 in China, the study reveals that corporate frauds are contagious through supply chains, while only customers’ misconduct can contagion to upstream firms. The presence of common directors strengthens such supply chain contagion. Additionally, the digital orientation can mitigate the positive moderating effect of common directors on supply chain contagion.

Originality/value

This study highlights the importance of understanding supply chain contagion through corporate fraud by (1) emphasising the existence of the contagion effects of corporate frauds; (2) understanding the potential channel in the process of contagion; (3) considering how digital orientation can mitigate this contagion and (4) recognising that the effect of contagion comes only from the downstream, not from the upstream.

Details

International Journal of Operations & Production Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0144-3577

Keywords

Available. Open Access. Open Access
Article
Publication date: 13 July 2022

Jiqian Dong, Sikai Chen, Mohammad Miralinaghi, Tiantian Chen and Samuel Labi

Perception has been identified as the main cause underlying most autonomous vehicle related accidents. As the key technology in perception, deep learning (DL) based computer…

1072

Abstract

Purpose

Perception has been identified as the main cause underlying most autonomous vehicle related accidents. As the key technology in perception, deep learning (DL) based computer vision models are generally considered to be black boxes due to poor interpretability. These have exacerbated user distrust and further forestalled their widespread deployment in practical usage. This paper aims to develop explainable DL models for autonomous driving by jointly predicting potential driving actions with corresponding explanations. The explainable DL models can not only boost user trust in autonomy but also serve as a diagnostic approach to identify any model deficiencies or limitations during the system development phase.

Design/methodology/approach

This paper proposes an explainable end-to-end autonomous driving system based on “Transformer,” a state-of-the-art self-attention (SA) based model. The model maps visual features from images collected by onboard cameras to guide potential driving actions with corresponding explanations, and aims to achieve soft attention over the image’s global features.

Findings

The results demonstrate the efficacy of the proposed model as it exhibits superior performance (in terms of correct prediction of actions and explanations) compared to the benchmark model by a significant margin with much lower computational cost on a public data set (BDD-OIA). From the ablation studies, the proposed SA module also outperforms other attention mechanisms in feature fusion and can generate meaningful representations for downstream prediction.

Originality/value

In the contexts of situational awareness and driver assistance, the proposed model can perform as a driving alarm system for both human-driven vehicles and autonomous vehicles because it is capable of quickly understanding/characterizing the environment and identifying any infeasible driving actions. In addition, the extra explanation head of the proposed model provides an extra channel for sanity checks to guarantee that the model learns the ideal causal relationships. This provision is critical in the development of autonomous systems.

Details

Journal of Intelligent and Connected Vehicles, vol. 5 no. 3
Type: Research Article
ISSN: 2399-9802

Keywords

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Book part
Publication date: 19 May 2009

Joseph Bosco, Lucia Huwy-Min Liu and Matthew West

A little-known “lottery fever” has spread to many parts of rural China over the past 10 years. This is driven by participation in underground lotteries with local bookies. It is…

Abstract

A little-known “lottery fever” has spread to many parts of rural China over the past 10 years. This is driven by participation in underground lotteries with local bookies. It is called liuhecai, which is the name of the Hong Kong lottery, and is based on guessing the bonus number of the Hong Kong Mark Six lottery. Such lotteries are illegal, but are an open secret. This chapter seeks to understand the meaning of this apparently irrational lottery fever: why people participate in it, why they believe the conspiracy theory that it is rigged (and yet still participate), and why similar lotteries have emerged in both capitalist Taiwan and post-socialist China at this particular time.

Details

Economic Development, Integration, and Morality in Asia and the Americas
Type: Book
ISBN: 978-1-84855-542-6

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Article
Publication date: 5 August 2022

Jianqing Hu, Hongjun He, Feiliang Dai, Xingyu Gong and Haowei Huang

The purpose of this paper is to develop the efficiency of styrene-acrylate (SA) emulsions for polymer cement waterproof coatings with improved bacteria resistance and mechanical…

197

Abstract

Purpose

The purpose of this paper is to develop the efficiency of styrene-acrylate (SA) emulsions for polymer cement waterproof coatings with improved bacteria resistance and mechanical properties.

Design/methodology/approach

For effective bacteria resistance and excellent mechanical properties, various concentrations of methacryloxyethylhexadecyl dimethylammonium bromide (MHDB) were synthesised and incorporated into SA emulsions. The properties of SA emulsions modified with MHDB were characterised and compared with those of unmodified ones according to the formulations of polymer cement waterproof coatings.

Findings

The SA emulsions modified with MHDB exhibited significant enhancement of bacteria resistance and mechanical properties over the unmodified ones. The positive quaternary nitrogen and long-chain alkyl groups of MHDB in SA emulsions could attract phospholipid head groups of bacterial and insert them into the cell wall, which results in biomass leak and bactericidal effect. Moreover, MHDB as a softened monomer was beneficial to the synthesis of SA copolymer with low glass-transition temperature (Tg), then the copolymer and cement would form a more compact film which was the main reason for the enhancement of mechanical properties.

Research limitations/implications

The modifier MHDB was synthesised from diethylaminoethyl methacrylate (DEAM) and 1-bromohexadecane. Besides, the congeners of MHDB could be synthesised from DEAM and 1-bromododecane, 1-tetradecyl dromide, 1-octadecyl bromide, etc. In addition, the efficiency of other modifications into SA emulsions for antibacterial polymer cement waterproof coatings could be studied as well.

Practical implications

The method provided a practical solution for the improvement of water-based antibacterial acrylate polymer cement waterproof coatings.

Originality/value

The method for enhancing bacteria resistance and mechanical properties of the waterproof coating was novel and valuable.

Details

Pigment & Resin Technology, vol. 53 no. 1
Type: Research Article
ISSN: 0369-9420

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Article
Publication date: 10 October 2024

Lin Tang and Jing Song

Online business can be an attractive career choice but bears gendered implications under China’s market economy. This study aims to examine how highly educated young women…

55

Abstract

Purpose

Online business can be an attractive career choice but bears gendered implications under China’s market economy. This study aims to examine how highly educated young women negotiate their career choice of online business, given their enhanced career ambitions and the persisting conservative views of their parents. It is to be examined how these factors interact in shaping women’s strategies and commitment to their nonconventional careers.

Design/methodology/approach

The study draws on 23 interviews with 18 women involved in online business. The interviews were coded by themes about how women perceive and make career choices to enter online business, the influence of various motivations (e.g., economic security, decency, autonomy and earning potential) and women’s interactions with their parents under gendered social expectations. The study analyzes and categorizes women’s varied strategies and levels of commitment in taking up online business, an attractive but suspicious career for highly educated young women.

Findings

The study finds that some women chose to conduct online business as a secondary job behind their stable and formal primary job; their compromise under parents’ preferences and social expectations as “compliant daughters,” willingly or forced, coexisted with their persisting interest in online entrepreneurship. Other women, or “self-determined daughters,” embraced online business as their primary job; some benefited from parents’ tolerant views, but others needed to handle the pressure of parental disapproval by hiding or proving their nonconventional career choices worthwhile.

Originality/value

This study speaks to the gendered opportunity-necessity framework of entrepreneurship by illustrating women’s multiple motivations in China’s market reforms and the rising online entrepreneurship dynamics. The findings contextualize women’s career choices in different family dynamics and suggest how social expectations and gender norms are imposed and transformed, with a focus on the shifting gendered concerns of opportunity, security and decency in an era of digital economy.

Details

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

Keywords

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