Sui-Xin Fan, Xiaoni Yan, Yan Cao, Yi cong Liu, Sheng Wei Cao, Jun-Hu Meng and Junde Guo
Nano graphitic-carbon nitride (g-C3N4) is an emerging lubrication technology with excellent performance and significant potential for future applications. This study aims to…
Abstract
Purpose
Nano graphitic-carbon nitride (g-C3N4) is an emerging lubrication technology with excellent performance and significant potential for future applications. This study aims to investigate the effect of nano g-C3N4 as a lubricant additive on the wear performance of bearing steel disk.
Design/methodology/approach
Various mass fractions of g-C3N4 were introduced into the base oil. Combining tribological testing, rheological testing and surface analysis methods, the anti-wear properties and lubrication mechanisms were analyzed.
Findings
Transmission electron microscopy images revealed that the size of the nanoparticles of g-C3N4 ranges from 10 to 100 nm. Phase analysis of the g-C3N4 sample was conducted using X-ray diffraction. Further, 1.0% mass fraction of g-C3N4 in the base oil provides excellent anti-wear and friction-reducing performance. Compared to the base oil alone, it reduces the average friction coefficient by 63.8% and decreases the wear rate by 43.1%, significantly reducing the depth and width of the wear scar. Energy-dispersive X-ray spectroscopy and scanning electron microscope analysis revealed that the oil sample containing nano g-C3N4 can form a lubricating film on the sliding surface of bearing steel after wear, which enhances the lubricating properties of the base oil.
Originality/value
The synergistic effect of the base oil and nanoparticles reduces friction and wear and is expected to extend the service life of bearing steel. These findings suggest that incorporating nano g-C3N4 as a lubricant additive offers significant potential for improving the performance of mechanical components.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-12-2024-0456/
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Lu Wan, Yanqi Fang, Nannan Ban, Guo Cheng and Guohua Huang
This paper aims to explore the relationship between digital transformation, international competition and productivity progress by examining the dual margins of export, thereby…
Abstract
Purpose
This paper aims to explore the relationship between digital transformation, international competition and productivity progress by examining the dual margins of export, thereby identifying the digital development pathway for key industrial chains within the context of regional medical and health cooperation.
Design/methodology/approach
By constructing models incorporating both the extensive margin and intensive margin, this paper delves into the reasons underlying changes in product trade value and variety within international market competition. Utilizing export data for medical products from China to Belt and Road Initiative partner countries spanning from 2007 to 2020, an industry–destination–time panel benchmark model is established to assess the impact of digital transformation on product expansion and international competition.
Findings
The findings reveal the following insights. First, digital transformation positively impacts the intensive margin of medical products, whereas it does not exert a positive influence on the extensive margin. Second, the impact mechanism test indicates that digital transformation fosters the intensive export margin by enhancing the technical efficiency of exports but exhibits an inverted U-shaped effect on technological progress. Third, digital transformation demonstrates a notable non-linear characteristic, with a substantial increase in the lifting effect once a certain threshold is surpassed.
Originality/value
While previous research has extensively explored the effects of digital transformation on export trade, this study uniquely integrates the concepts of the intensive and extensive margins of export, thereby enriching the research insights derived from existing literature. It focuses on the nonlinear effects and threshold dynamics of digital transformation, particularly in relation to total factor productivity. Additionally, the paper makes a contribution to the understanding of the Health Silk Road by incorporating the health index.
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Christine Wan Shean Liew, T. Ramayah and Noorliza Karia
The purpose of this study is to examine factors influencing consumers’ intention to purchase Halal cosmetics through the lens of theory of consumption values (TCV).
Abstract
Purpose
The purpose of this study is to examine factors influencing consumers’ intention to purchase Halal cosmetics through the lens of theory of consumption values (TCV).
Design/methodology/approach
This study employed a quantitative research methodology, collecting data from 185 respondents through an online questionnaire. The participants, selected via purposive sampling, were all current purchasers of cosmetics. The data were analyzed using partial least square structural equation modeling (PLS-SEM) with the assistance of IBM SPSS and SmartPLS software.
Findings
This research reveals that emotional value is the most substantial value predictor, followed by epistemic value, conditional value and functional value. Further, the moderation analysis shows that the effect of conditional value is strengthened when the consumer are from a higher social class.
Originality/value
This study reveals that consumption values with context-specific attributes directly impact consumer purchase intentions towards Halal cosmetics, while social class acts as a significant catalyst. This offers a fresh perspective that mitigates the traditional misconceptions about Halal cosmetics among Malaysians, highlighting the complexity and resilience of consumer adoption in this innovative sector.
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Yuan Feng, Jing Zhang, Wei Han and Yongtao Luo
As China is on an inevitable march into the digital era, firms have accumulated abundant digital assets, such as algorithms and data. Facing the possibility of using digital…
Abstract
Purpose
As China is on an inevitable march into the digital era, firms have accumulated abundant digital assets, such as algorithms and data. Facing the possibility of using digital assets as a new type input, besides traditional inputs such as capital and labor, would powerful managers perform better? Would managerial power help managers increase the efficiency of how a firm combines traditional and digital inputs and converts them into outputs? Thus, the purpose of this study is to investigate whether powerful managers promotes corporate productivity by using digital assets as a new input.
Design/methodology/approach
Using data from listed Chinese firms between 2008 and 2020, the authors constructed panel regressions with three-way fixed effects to examine whether and how managerial power influences corporate productivity in the current digital context, particularly under market uncertainty.
Findings
The findings reveal no consistent relationship between managerial power and corporate productivity. The results explain this from two contrasting effects: while managerial power promotes technological change it hinders technical efficiency – two components of total productivity. Moreover, this study identifies market uncertainty as a significant external contingency. In uncertain markets, strong managerial power positively impacts corporate productivity.
Originality/value
The results extend extant theoretical insights in the literature on how managerial power might influence corporate productivity.
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This study aims to explore the roles of Zhongyong and political efficacy on citizens’ intention to use digital government platforms for e-participation (i.e. e-participation…
Abstract
Purpose
This study aims to explore the roles of Zhongyong and political efficacy on citizens’ intention to use digital government platforms for e-participation (i.e. e-participation intention). Zhongyong is a dialectical way of thinking that influences Chinese behavioral intentions and approaches. Political efficacy is a predictor of traditional political participation. Both of them have not been adequately investigated in this digital era, particularly regarding e-participation in digital government platforms. Therefore, this study investigates their relationships.
Design/methodology/approach
A quantitative model is constructed to examine the relationship between Zhongyong and citizens’ e-participation intention (internal and external) political efficacy serves as a mediator. An online questionnaire gathered 345 responses from three representative provinces of China (i.e. Guangdong, Jiangxi and Shanxi). Partial least square structural equation modeling (PLS-SEM) was adopted and executed with Smart PLS 4.0 to analyze the data.
Findings
Zhongyong and (internal and external) political efficacy can positively influence citizens’ e-participation intention. Moreover, (internal and external) political efficacy mediates the relationship between Zhongyong and citizens’ e-participation intention.
Research limitations/implications
This research focuses on Chinese culture Zhongyong and surveyed Chinese citizens, thus is limited to the Chinese context. Second, this study used cross-sectional data. Third, this study only investigated two factors’ effects on e-participation, i.e. Zhongyong and political efficacy.
Practical implications
The findings provide multifaceted strategies for improving citizens’ adoption of digital government platforms for e-participation. Incentive policies to boost citizens’ (internal and external) political efficacy can be launched. To achieve broader citizen participation, a participative culture can be cultivated based on Zhongyong.
Originality/value
This study constructs a novel model that innovatively links Zhongyong thinking, political efficacy and e-participation intention. The results underscore the importance of Zhongyong culture and political efficacy in increasing citizens’ e-participation intention.
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Simona Curiello, Enrica Iannuzzi, Dirk Meissner and Claudio Nigro
This work provides an overview of academic articles on the application of artificial intelligence (AI) in healthcare. It delves into the innovation process, encompassing a…
Abstract
Purpose
This work provides an overview of academic articles on the application of artificial intelligence (AI) in healthcare. It delves into the innovation process, encompassing a two-stage trajectory of exploration and development followed by dissemination and adoption. To illuminate the transition from the first to the second stage, we use prospect theory (PT) to offer insights into the effects of risk and uncertainty on individual decision-making, which potentially lead to partially irrational choices. The primary objective is to discern whether clinical decision support systems (CDSSs) can serve as effective means of “cognitive debiasing”, thus countering the perceived risks.
Design/methodology/approach
This study presents a comprehensive systematic literature review (SLR) of the adoption of clinical decision support systems (CDSSs) in healthcare. We selected English articles dated 2013–2023 from Scopus, Web of Science and PubMed, found using keywords such as “Artificial Intelligence,” “Healthcare” and “CDSS.” A bibliometric analysis was conducted to evaluate literature productivity and its impact on this topic.
Findings
Of 322 articles, 113 met the eligibility criteria. These pointed to a widespread reluctance among physicians to adopt AI systems, primarily due to trust-related issues. Although our systematic literature review underscores the positive effects of AI in healthcare, it barely addresses the associated risks.
Research limitations/implications
This study has certain limitations, including potential concerns regarding generalizability, biases in the literature review and reliance on theoretical frameworks that lack empirical evidence.
Originality/value
The uniqueness of this study lies in its examination of healthcare professionals’ perceptions of the risks associated with implementing AI systems. Moreover, it addresses liability issues involving a range of stakeholders, including algorithm developers, Internet of Things (IoT) manufacturers, communication systems and cybersecurity providers.
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Lu Han, Hao Wu, Buqing Fang and Wangyue Zhou
This paper aims to study whether rural collective construction land marketization (RCCLM) affects pension industry and analyze its impact mechanism.
Abstract
Purpose
This paper aims to study whether rural collective construction land marketization (RCCLM) affects pension industry and analyze its impact mechanism.
Design/methodology/approach
Based on the theory of planned behavior (TPB) and social cognition theory (SCT), this paper constructs a theoretical framework for the purchase behavior of rural retirement housing with the influence of RCCLM. A mixed-methods investigation combining qualitative and quantitative study is adopted in this paper.
Findings
The research results indicate that the purchase intention of rural retirement housing has a significant positive impact on the purchase behavior. However, RCCLM has a significant negative impact on the purchase intention of rural retirement housing. A logical framework of “land system participant behavior” has been constructed from three main bodies: government, developers and elderly urban and rural residents.
Practical implications
This paper provides suggestions for the three entities from the perspectives of macro, medium and micro-level to improve transaction system for rural collective construction land use right (TSRCCLUR), providing references for the collective construction land marketization policy and the development of the pension industry.
Originality/value
This paper deepens the study of behavior intention in planned behavior, enriches TPB model in the study of rural retirement housing security and clarifies the influence mechanism of the rural retirement housing purchase intention with the theoretical and empirical test of the model.
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Jingwei Zhang, Md Shamirul Islam, Osman M. Karatepe and Manimekalai Jambulingam
To provide a holistic assessment of tourists’ staycation intentions, this study aims to investigate the role of secondary-stakeholder corporate social responsibility (CSR) on…
Abstract
Purpose
To provide a holistic assessment of tourists’ staycation intentions, this study aims to investigate the role of secondary-stakeholder corporate social responsibility (CSR) on local engagement. Based on construal-level theory and stimulus-organism-response model, this study unpacks how and when secondary-stakeholder CSR influences staycation intention.
Design/methodology/approach
Data were gathered from 312 Chinese tourists with prior staycation experiences. Data were subsequently analyzed using structural equation modeling.
Findings
This study illuminates that secondary-stakeholder CSR positively influences staycation intention directly and indirectly through psychological belonging and safety. Noteworthily, immersive experience strengthens the influence of psychological belonging on staycation intention while its effect on the relationship between psychological safety and staycation intention is negligible.
Research limitations/implications
All variables in this study were collected via self-report measures provided by hotel customers with staycation experiences. Although both statistical and procedural remedies are used, it would be more useful if future studies could gather time-lagged and/or multiple sources of data.
Originality/value
This study augments the domain of staycation research by examining CSR marketing through a stakeholder perspective. This nuanced analysis elucidates the intertwined dynamics among secondary-stakeholder CSR, psychological sense of belonging and safety, and immersive experiences that delineate the landscape of staycation markets, casting light on their epoch-defining implications for hotels’ developmental trajectories.
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Feifei Shao, Nianxin Wang and Xing Wan
Research on decision rights partitioning and its impact on platform performance has predominantly focused on single rights, leading to inconclusive results. This study is driven…
Abstract
Purpose
Research on decision rights partitioning and its impact on platform performance has predominantly focused on single rights, leading to inconclusive results. This study is driven by a more nuanced objective of exploring diverse governance models that can enhance the performance of sharing platforms across different contexts. Rather than delegating single decision right to users, this approach partitions several essential decision rights concurrently throughout the transaction process. By examining the complex relationships between multiple decision rights partitioning and platform performance, this study identifies and explains suitable governance models that are tailored to specific contextual factors for improving the performance of sharing platforms.
Design/methodology/approach
Collecting data from 60 sharing platforms in China, this study employs a combination of cluster and configuration analyses to address research questions.
Findings
The study explores three strategic decision rights partitioning modes widely adopted by sharing platforms. It further identifies four governance models for sharing platforms, which are termed as conservative seller model, conservative buyer model, aggressive seller model and aggressive buyer model, related to certain contextual factors.
Originality/value
In addressing platform governance as key to sharing platform success, the study contributes to the literature by investigating how multiple-rights partitioning portfolios and strategic differentiation in decision rights partitioning can enhance platform performance.
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Le Yan, Wei Li, Jiawen Hou and Shizheng Tan
This study aims to examine new product development (NPD) performance to identify effective knowledge update strategies and assess the impact of environmental uncertainty on these…
Abstract
Purpose
This study aims to examine new product development (NPD) performance to identify effective knowledge update strategies and assess the impact of environmental uncertainty on these dynamics. It aims to understand how different knowledge potentials and organizational routines interact to enhance product outcomes. The specific subsidiary context enriches understanding by identifying challenges and opportunities that are not typically visible in broader organizational studies.
Design/methodology/approach
A survey of 310 business managers was conducted to measure their knowledge potential and organizational routine updating. The hypotheses were tested using hierarchical regression analysis to determine the optimal combinations of knowledge and practice updates for NPD performance.
Findings
Results indicate that both knowledge potential and organizational routine updating significantly enhance subsidiary performance. Specifically, knowledge accumulation paired with routine creation and knowledge difference paired with routine revision optimally boosts product development. Moreover, this study reveals an inverted U-shaped relationship between environmental uncertainty and the effectiveness of these combinations, suggesting a complex interplay that affects NPD performance.
Originality/value
This study enhances understanding of NPD performance by integrating resource concordance theory with empirical analysis of knowledge and organizational strategy adaptations. It underscores the moderating role of environmental uncertainty, offering new theoretical insights into enhancing product development performance. Although the focus on subsidiaries limits broader applicability, it provides valuable insights into the nuanced NPD dynamics in these specific entities, suggesting avenues for future research to expand this study’s findings across different organizational types.