Search results
1 – 10 of 39The wide adoption of online methodologies has enabled methodological innovations in online qualitative research. However, it also increases the risk of imposter participants who…
Abstract
Purpose
The wide adoption of online methodologies has enabled methodological innovations in online qualitative research. However, it also increases the risk of imposter participants who may falsify or fabricate their identities, particularly in studies that offer incentives/compensation. Imposter participants pose a significant threat to data and research integrity. This paper draws on the author’s experience of making methodological adjustments after encountering imposter participants in an online qualitative study to highlight the significance of taking proactive actions throughout online qualitative studies to address this concern.
Design/methodology/approach
The paper provides a review of how qualitative scholars approach this issue in online participant recruitment, data collection and data analysis. Then, the author shares methodological changes made for ongoing recruitment and data collection, as well as handling data collected from imposter participants.
Findings
Significant differences exist between verified participants and the incidences of imposter participants. Strategies in participant eligibility check, interview and member checking can be effective ways to address imposter participants throughout research projects.
Originality/value
The discussion on this concern is scant in the qualitative research community and so is the discussion of methodological and ethical approaches to address this issue. This paper underscores the importance for researchers to be aware of the risk of imposter participants and offer methodological considerations across stages in online qualitative studies for ethical and proactive methodological actions.
Details
Keywords
Xiaohong Lu, FuRui Wang, Liang Xue, Yixuan Feng and Steven Y. Liang
The purpose of this study is to realize the multi-objective optimization for MRR and surface roughness in micro-milling of Inconel 718.
Abstract
Purpose
The purpose of this study is to realize the multi-objective optimization for MRR and surface roughness in micro-milling of Inconel 718.
Design/methodology/approach
Taguchi method has been applied to conduct experiments, and the cutting parameters are spindle speed, feed per tooth and depth of cut. The first-order models used to predict surface roughness and MRR for micro-milling of Inconel 718 have been developed by regression analysis. Genetic algorithm has been utilized to implement multi-objective optimization between surface roughness and MRR for micro-milling of Inconel 718.
Findings
This paper implemented the multi-objective optimization between surface roughness and MRR for micro-milling of Inconel 718. And some conclusions can be summarized. Depth of cut is the major cutting parameter influencing surface roughness. Feed per tooth is the major cutting parameter influencing MRR. A number of cutting parameters have been obtained along with the set of pareto optimal solu-tions of MRR and surface roughness in micro-milling of Inconel 718.
Originality/value
There are a lot of cutting parameters affecting surface roughness and MRR in micro-milling, such as tool diameter, depth of cut, feed per tooth, spindle speed and workpiece material, etc. However, to the best our knowledge, there are no published literatures about the multi-objective optimization of surface roughness and MRR in micro-milling of Inconel 718.
Details
Keywords
Yixuan Kang, Yanyan Ma and Fusheng Wang
With growing evidence of financial misconduct spreading through director networks, research on financial fraud contagion has garnered significant attention. This study…
Abstract
Purpose
With growing evidence of financial misconduct spreading through director networks, research on financial fraud contagion has garnered significant attention. This study incorporates the regulatory enforcement perspective into existing literature to examine how regulatory penalties mitigate financial fraud contagion within director networks.
Design/methodology/approach
This study uses a panel dataset of A-share listed Chinese firms covering 2007–2022. Based on the nature of the dataset, we construct ordinary least squares regression models with firm- and year-fixed effects. Data are collected from the China Stock Market and Accounting Research, Wind Information Co., Ltd and China Research Data Services. We use Python to scrape the coordinates of regulators and firms and retrieve travel distances from the Baidu Maps API.
Findings
This study verifies the existence of financial fraud contagion in director networks. Our findings indicate that regulatory penalties can mitigate the contagion between director-interlocked firms, improving accounting quality. Moreover, the mitigation effects are mediated by independent directors’ dissent and auditors’ efforts at director-interlocked firms and are more pronounced when these firms have superior network centrality and internal control quality.
Originality/value
This study enriches the literature on financial fraud contagion by examining director networks and regulatory penalties. We propose mediating effects of auditor effort and director dissents on the relationship between regulatory penalties and financial fraud contagion. Our findings provide insights for regulators to alleviate pressures and highlight the importance for directors to consider financial risks within their networks.
Details
Keywords
Ning Wang, Yang Zhao, Ruoxin Zhou and Yixuan Li
Online platforms are providing diversified and personalized services with user information. Users should decide if they should give up parts of information for convenience, with…
Abstract
Purpose
Online platforms are providing diversified and personalized services with user information. Users should decide if they should give up parts of information for convenience, with their information being at the risk of being illegally collected, leaked, spread and misused. This study aims to explore the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust, and the authors extend previous research with two moderators.
Design/methodology/approach
Based on 48 independent empirical studies, this paper conducted a meta-analysis to synthesize existing results from collected individual studies. This meta-analysis explored the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust.
Findings
The meta-analysis results based on 48 independent studies revealed that perceived benefit, trust, subjective norm and perceived behavioral control have significant positive effects, while perceived privacy risk and privacy concern have significant negative effects. Moreover, cultural background and platform type moderate the relationship between antecedents and online information disclosure intention.
Originality/value
This paper explored the moderating effects of an individual factor and a platform factor on users' online information disclosure intention. The moderating effect of cultural differences is examined with Hofstede's dimensions, and the moderating role of the purpose of online information disclosure is examined with platform type. This study extends online information disclosure literature with a multi-perspective meta-analysis and provides guidelines for practitioners.
Details
Keywords
Huan Zhang, Na Gao, Yean Wang and Yixuan Han
The purpose of this paper is to model how risk governance (RG) influences risk prevention behaviors toward food safety issues, considering the perception of related risks in the…
Abstract
Purpose
The purpose of this paper is to model how risk governance (RG) influences risk prevention behaviors toward food safety issues, considering the perception of related risks in the Taiwanese context.
Design/methodology/approach
The national representative data on risk society modules from the Taiwan Social Change Survey data were used (sample size = 2,005). The procedure for the analysis consisted of investigation of the model fit indices of structural equation modeling, incorporating the mediation effect. Multiple-group analysis was used to examine the moderation effects.
Findings
Results show that the theory of reasoned action (TRA) and the advanced TRA can accurately explain personal risk perception (RP) (R2=0.40) and risk prevention (R2=0.42). Results also suggest that RG institutions can affect personal RP and risk prevention through subjective norms. In addition, moderation effects of media and gender were found.
Originality/value
This study is one of the first attempts to examine the RG effects on RP and risk prevention behavior of food safety issues in Taiwan. The results and findings may be helpful for RG institutions.
Details
Keywords
This paper studies the determinants for the desirability of the public-private partnership (PPP) mode in infrastructure development.
Abstract
Purpose
This paper studies the determinants for the desirability of the public-private partnership (PPP) mode in infrastructure development.
Design/methodology/approach
The author manually collects data on over 12,000 PPP projects in China, and regard the successful transition and abnormal termination as signals for the mode’s desirability and undesirability, respectively. Then, guided by relevant theories in the literature, the author investigates the impact of various project characteristics on the projects’ successful transition and abnormal termination.
Findings
First, execution-stage projects in industries where government support is indispensable, or where quality improvement is more important than cost reduction, face higher likelihood of abnormal termination. But such negative effects are mitigated if state-owned enterprises (SOEs) participate in the social party. Second, the structure of social party matters. The participation by private firms in the social party increases the termination likelihood, while the decentralization of the social party decreases it. Third, pre-execution projects with government payment or subsidies are more likely to enter into the execution stage.
Practical implications
Regulations on participation by SOEs in PPPs, such as policy [2023 No. 115] announced by State Council, should take industrial heterogeneity into consideration.
Originality/value
Using a large sample, the author empirically tests the seminal PPP-related theories in the literature. The author also uncovers some unique stylized facts about PPPs in China, especially the impact of SOE participation in the social party on PPP survival.
Details
Keywords
Qin Xu, Yixuan Zhao, Meng Xi and Fangjun Li
The purpose of this paper is to test a mediated moderation model of the joint influence of abusive supervision, high-performance work systems (HPWSs) and organizational commitment…
Abstract
Purpose
The purpose of this paper is to test a mediated moderation model of the joint influence of abusive supervision, high-performance work systems (HPWSs) and organizational commitment and intention to leave on employee silence.
Design/methodology/approach
Data were collected from 456 employees and 78 human resource managers in 78 Chinese organizations.
Findings
The results revealed that abusive supervision led to subordinate silence, and HPWSs intensified this effect. In addition, such moderating effect of HPWSs was accounted for by employees’ organizational commitment and intention to leave.
Research limitations/implications
To reduce the occurrence of employee silence, organizations should not only monitor and restrain abusive supervisory actions, but also be aware of subordinates’ work attitudes driven by organizational HPWSs.
Originality/value
This is the first study which demonstrates that HPWSs can foster employees’ organizational commitment and hinder their intention to leave and consequently strengthen the relation between abusive supervision and employee silence.
Details
Keywords
Fanbo Meng, Yixuan Liu, Xiaofei Zhang and Libo Liu
Effectively engaging patients is critical for the sustainable development of online health communities (OHCs). Although physicians’ general knowledge-sharing, which is free to the…
Abstract
Purpose
Effectively engaging patients is critical for the sustainable development of online health communities (OHCs). Although physicians’ general knowledge-sharing, which is free to the public, represents essential resources of OHCs that have been shown to promote patient engagement, little is known about whether such knowledge-sharing can backfire when superfluous knowledge-sharing is perceived as overwhelming and anxiety-provoking. Thus, this study aims to gain a comprehensive understanding of the role of general knowledge-sharing in OHCs by exploring the spillover effects of the depth and breadth of general knowledge-sharing on patient engagement.
Design/methodology/approach
The research model is established based on a knowledge-based view and the literature on knowledge-sharing in OHCs. Then the authors test the research model and associated hypotheses with objective data from a leading OHC.
Findings
Although counterintuitive, the findings revealed an inverted U-shape relationship between general knowledge-sharing (depth and breadth of knowledge-sharing) and patient engagement that is positively associated with physicians’ number of patients. Specifically, the positive effects of depth and breadth of general knowledge-sharing increase and then decrease as the quantity of general knowledge-sharing grows. In addition, physicians’ offline and online professional status negatively moderated these curvilinear relationships.
Originality/value
This study further enriches the literature on knowledge-sharing and the operations of OHCs from a novel perspective while also offering significant specific implications for OHCs practitioners.
Details
Keywords
Qin Xu, Yixuan Zhao, Meng Xi and Shuming Zhao
The topic of employees’ taking charge behaviors has garnered increasing interest in both practical and academic fields. Leaders play a critical role in influencing followers’…
Abstract
Purpose
The topic of employees’ taking charge behaviors has garnered increasing interest in both practical and academic fields. Leaders play a critical role in influencing followers’ taking charge behaviors, yet few studies have explored the predicting role of benevolent leadership. Drawing from proactive motivation literature, this paper aims to investigate a moderated mediation model that examines work engagement as the mediator and role-breadth self-efficacy as the moderator in the relationship between benevolent leadership and taking charge.
Design/methodology/approach
Matched data were collected from 297 followers and their group leaders in three subsidiaries of a large telecommunication company in China. The authors used hierarchical linear modeling to test the hypotheses.
Findings
The results revealed that benevolent leadership was positively related to followers’ work engagement and consequently their taking charge behaviors. Moreover, such moderated mediation relationship was stronger among followers who had low rather than high levels of role-breadth self-efficacy.
Research limitations/implications
The primary contribution of this study is building a contingent model for the effect of benevolent leadership on follower taking charge and thereby extending the nomological networks of both benevolent leadership and taking charge literatures. Another contribution is that this research provides a new perspective to understand how leadership leads to followers’ taking charge behaviors.
Originality/value
This is the first study to investigate how and when benevolent leadership predicts follower taking charge.
Details
Keywords
Yixuan Niu, Baolong Ma and Yongge Niu
This study explores the inverted U-shaped relationship between the number of creative strategies (NCS) and consumer response to new products as incrementally new products (INPs…
Abstract
Purpose
This study explores the inverted U-shaped relationship between the number of creative strategies (NCS) and consumer response to new products as incrementally new products (INPs) and really new products (RNPs).
Design/methodology/approach
Leveraging a dataset of 757 digital video advertisements from six prominent technology-driven companies, content analysis and hierarchical polynomial regression were employed to explore the relationship between the NCS and consumer responses, considering product newness.
Findings
The results reveal a highly significant inverted U-shaped relationship between NCS and consumer response. The turning point of the inverted U-shaped function was 3.204. This relationship holds for both types of new product: INP and RNP. In addition, product newness negatively affects consumer responses. Based on this research, this study found that technology-driven new product video advertisements use more information and argument types of creative strategies. In addition, compared to INP, RNP video ads use more command and habit-starting creative strategies.
Research limitations/implications
Further research on the effect of the combination of multiple creative strategies on consumer responses can help advertisers design an effective advertisement.
Practical implications
Advertisers can determine the best mix of creative strategies based on the type of new product.
Originality/value
This study confirms that the impact of NCS on consumer responses is not a simple linear relationship. When the three creative strategies are implemented, consumers’ positive reactions reach their maximum value.
Details