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Article
Publication date: 25 June 2024

Jiahao Zhang and Yu Wei

This study conducts a comparative analysis of the diversification effects of China's national carbon market (CEA) and the EU ETS Phase IV (EUA) within major commodity markets.

222

Abstract

Purpose

This study conducts a comparative analysis of the diversification effects of China's national carbon market (CEA) and the EU ETS Phase IV (EUA) within major commodity markets.

Design/methodology/approach

The study employs the TVP-VAR extension of the spillover index framework to scrutinize the information spillovers among the energy, agriculture, metal, and carbon markets. Subsequently, the study explores practical applications of these findings, emphasizing how investors can harness insights from information spillovers to refine their investment strategies.

Findings

First, the CEA provide ample opportunities for portfolio diversification between the energy, agriculture, and metal markets, a desirable feature that the EUA does not possess. Second, a portfolio comprising exclusively energy and carbon assets often exhibits the highest Sharpe ratio. Nevertheless, the inclusion of agricultural and metal commodities in a carbon-oriented portfolio may potentially compromise its performance. Finally, our results underscore the pronounced advantage of minimum spillover portfolios; particularly those that designed minimize net pairwise volatility spillover, in the context of China's national carbon market.

Originality/value

This study addresses the previously unexplored intersection of information spillovers and portfolio diversification in major commodity markets, with an emphasis on the role of CEA.

Details

China Finance Review International, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2044-1398

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Article
Publication date: 15 August 2024

Sameer Dubey, Pradeep Vishwakarma, TVS Ramarao, Satish Kumar Dubey, Sanket Goel and Arshad Javed

This study aims to introduce a vision-based model to generate droplets with auto-tuned parameters. The model can auto-adjust the inherent uncertainties and errors involved with…

115

Abstract

Purpose

This study aims to introduce a vision-based model to generate droplets with auto-tuned parameters. The model can auto-adjust the inherent uncertainties and errors involved with the fabrication and operating parameters in microfluidic platform, attaining precise size and frequency of droplet generation.

Design/methodology/approach

The photolithography method is utilized to prepare the microfluidic devices used in this study, and various experiments are conducted at various flow-rate and viscosity ratios. Data for droplet shape is collected to train the artificial intelligence (AI) models.

Findings

Growth phase of droplets demonstrated a unique spring back effect in droplet size. The fully developed droplet sizes in the microchannel were modeled using least absolute shrinkage and selection operators (LASSO) regression model, Gaussian support vector machine (SVM), long short term memory (LSTM) and deep neural network models. Mean absolute percentage error (MAPE) of 0.05 and R2 = 0.93 were obtained with a deep neural network model on untrained flow data. The shape parameters of the droplets are affected by several uncontrolled parameters. These parameters are instinctively captured in the model.

Originality/value

Experimental data set is generated for varying viscosity values and flow rates. The variation of flow rate of continuous phase is observed here instead of dispersed phase. An automated computation routine is developed to read the droplet shape parameters considering the transient growth phase of droplets. The droplet size data is used to build and compare various AI models for predicting droplet sizes. A predictive model is developed, which is ready for automated closed loop control of the droplet generation.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 34 no. 8
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 3 April 2024

Danting Cai, Hengyun Li, Rob Law, Haipeng Ji and Huicai Gao

This study aims to investigate the influence of the reviewed establishment’s price level and the user’s social network size and reputation status on consumers’ tendency to post…

892

Abstract

Purpose

This study aims to investigate the influence of the reviewed establishment’s price level and the user’s social network size and reputation status on consumers’ tendency to post more visual imagery content. Furthermore, it explores the moderating effects of user experiences and geographic distance on these dynamics.

Design/methodology/approach

This study adopts a multi-method approach to explore both the determinants behind the sharing of user-generated photos in online reviews and their internal mechanisms. Using a comprehensive secondary data set from Yelp.com, the authors focused on restaurant reviews from a prominent tourist destination to construct econometric models incorporating time-fixed effects. To enhance the robustness of the authors’ findings, the authors complemented the big data analysis with a series of controlled experiments.

Findings

The reviewed establishments price level and the users reputation status and social network size incite corresponding motivations conspicuous display “reputation seeking” and social approval motivating users to incorporate more images in reviews. “User experiences can amplify the influence of these factors on image sharing.” An increase in the users geographical distance lessens the impact of the price level on image sharing, but it heightens the influence of the users reputation and social network size on the number of shared images.

Practical implications

As a result of this study, high-end establishments can increase their online visibility by leveraging user-generated visual content. A structured rewards program could significantly boost engagement by incentivizing photo sharing, particularly among users with elite status and extensive social networks. Additionally, online review platforms can enhance users’ experiences and foster more dynamic interactions by developing personalized features that encourage visual content production.

Originality/value

This research, anchored in trait activation theory, offers an innovative examination of the determinants of photo-posting behavior in online reviews by enriching the understanding of how the intricate interplay between users’ characteristics and situational cues can shape online review practices.

Details

International Journal of Contemporary Hospitality Management, vol. 36 no. 12
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 20 May 2024

Ziming Gao

Since smartphones became ubiquitous, online grocery and food purchases through take-away delivery platforms have steadily increased in China. Nevertheless, whether the development…

161

Abstract

Purpose

Since smartphones became ubiquitous, online grocery and food purchases through take-away delivery platforms have steadily increased in China. Nevertheless, whether the development of take-away delivery can ameliorate urban–rural wage inequality still requires further analysis. The purpose of this paper is to clarify whether this positive effect exists.

Design/methodology/approach

This paper makes estimations based on city and individual levels combining the Chinese Household Income Project (CHIP) 2008, CHIP 2013, CHIP2018 survey data and the take-away delivery site data. At the city level, the Oaxaca-Blinder (O-B) decomposition method is employed to construct wage inequality index of urban and rural labors. At the individual level, this paper analyzes urban–rural wage differentials with high or low formal education level.

Findings

The rapid establishment of take-away delivery sites has resulted in an increase of 52.425 yuan on average in the annual wage of rural labors with low formal education level. When the cumulative number of sites increases by 1 unit, the annual wage inequality index decreases by 0.007 on average. Labors with the characteristics of rural household registration and low education can enjoy more dividends. Through inter-/within-industry decomposition, this paper elaborates formal education, age and cross-industry transfer as the main factors for the improvement of urban–rural wage inequality. Narrowing effect of wage differences between different groups in multiple sample slices also contributes to the mechanism analyses.

Originality/value

To the best of the author’s knowledge, this paper is the first to analyze the impact of take-away delivery development on the urban–rural wage inequality from the perspective of the establishment of take-away delivery sites. This empirical study will enrich the existing theoretical perspectives on urban–rural divide under the emergence of new forms of employment. The results indicate that new forms of employment represented by take-away delivery can not only promote economic growth, but also eliminate urban–rural inequality.

Details

China Agricultural Economic Review, vol. 16 no. 4
Type: Research Article
ISSN: 1756-137X

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Article
Publication date: 13 July 2023

Dan Huang, Qiurong Chen, Songshan (Sam) Huang and Xinyi Liu

Drawing on the cognitive–affective–conative framework, this study aims to develop a model of service robot acceptance in the hospitality sector by incorporating both cognitive…

2522

Abstract

Purpose

Drawing on the cognitive–affective–conative framework, this study aims to develop a model of service robot acceptance in the hospitality sector by incorporating both cognitive evaluations and affective responses.

Design/methodology/approach

A mixed-method approach combining qualitative and quantitative methods was used to develop measurement and test research hypotheses.

Findings

The results show that five cognitive evaluations (i.e. cuteness, coolness, courtesy, utility and autonomy) significantly influence consumers’ positive affect, leading to customer acceptance intention. Four cognitive evaluations (cuteness, interactivity, courtesy and utility) significantly influence consumers’ negative affect, which in turn positively affects consumer acceptance intention.

Practical implications

This study provides significant implications for the design and implementation of service robots in the hospitality and tourism sector.

Originality/value

Different from traditional technology acceptance models, this study proposed a model based on the hierarchical relationships of cognition, affect and conation to enhance knowledge about human–robot interactions.

Details

International Journal of Contemporary Hospitality Management, vol. 36 no. 6
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 4 July 2024

Dan He

This paper aims to explore the adaptive experiences of first-year international graduate students at a US university. It aims to understand the challenges they encounter…

154

Abstract

Purpose

This paper aims to explore the adaptive experiences of first-year international graduate students at a US university. It aims to understand the challenges they encounter, strategies they adopt with social media to navigate these challenges and tensions that emerge in their social media interactions.

Design/methodology/approach

This study uses a qualitative multiple-case research design to collect data from 22 semistructured interviews with 11 participants. Additionally, 110 social media artifacts were collected, focusing on international students’ use of social media in everyday and academic contexts.

Findings

This paper offers empirical insights into social media’s role in helping international students address practical challenges and fulfill learning needs in academic studies, assistantships, cultural understanding and the constructions of ethnic and peer groups for emotional and social support. Additionally, it identifies tensions such as addiction, distractions, emotional distress and the creation of filter bubbles.

Research limitations/implications

Given the qualitative approach of this paper, the generalizability of study findings is limited. Future studies can focus on different sites to explore context-related issues, students across different years or use a longitudinal research design to further explore international students’ experiences in relation to social media use and its role in their adaptation over time.

Practical implications

This paper proposes implementing social media curricula in universities to educate students on media literacy and digital competence and create peer groups to support international students beyond classrooms.

Originality/value

This paper adds value to informal learning literature focusing on international students.

Details

Information and Learning Sciences, vol. 125 no. 10
Type: Research Article
ISSN: 2398-5348

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Article
Publication date: 31 July 2023

Dinesh Ramdhony, Saileshsingh Gunessee, Oren Mooneeapen and Pran Boolaky

This study examines the bi-directional relationship between corporate social responsibility disclosure (CSRD) and ownership structure through a dynamic empirical framework in an…

301

Abstract

Purpose

This study examines the bi-directional relationship between corporate social responsibility disclosure (CSRD) and ownership structure through a dynamic empirical framework in an emerging economy context.

Design/methodology/approach

Data over 10 years are used to investigate the response of disclosure to ownership structure variables and vice versa. Dynamic bi-directional relationships are hypothesised and empirically investigated using a panel vector autoregressive (PVAR) model. The ownership structure variables used are government ownership, block ownership and director ownership, while CSRD is constructed as a score through content analysis.

Findings

A bi-directional negative relationship between CSRD and government ownership is found, revealing a preference for the state to invest in companies with opaque disclosure. CSRD is found to respond negatively to block ownership, albeit weakly. Results also show that directors prefer to own shares in the company they manage when there are low levels of CSRD.

Research limitations/implications

The current empirical set-up of using a small emerging economy may not carry to the context of larger emerging economies where the institutional context may differ. Thus, future research could use this dynamic empirical approach to re-examine the questions raised in this paper using data from other emerging economies. The use of a longer time series makes it feasible to explore further analysis what was not possible in this study, such as an impulse response analysis examining the reaction of the variables of interest, CSRD and ownership variables for a specific time horizon to particular changes or shocks associated with one of the endogenous variables in the PVAR.

Practical implications

A major implication is that expecting disclosure practices to improve due to government and director initiatives would be less likely in emerging economies. State and director shareholders prefer to invest in opaque companies because they may purposely choose to keep the minimum disclosure levels. The paper calls for a transparent process and ethical guidelines to guide government investment in firms.

Originality/value

The study investigates the bi-directional relationship between ownership structure and CSRD in contrast to the existing literature's presupposed one-way relationship between these variables by demonstrating that bi-directionality does matter. This paper also contributes to the CSRD literature in the emerging economy context. The bi-directional negative relationship between CSRD and government ownership calls for a transparent selection process of board members as representatives of the state in those companies where the government has an ownership stake. It also calls for a transparent process and ethical guidelines to guide government investment in firms.

Details

Journal of Applied Accounting Research, vol. 25 no. 3
Type: Research Article
ISSN: 0967-5426

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Article
Publication date: 28 November 2024

Dan Luo, Xiewen Ni, Eugene Cheng-Xi Aw and Garry Wei-Han Tan

This study aims to propose and validate a research framework pertaining to the willingness to disclose information in the context of mobile banking apps. The interrelationships…

83

Abstract

Purpose

This study aims to propose and validate a research framework pertaining to the willingness to disclose information in the context of mobile banking apps. The interrelationships between privacy protection, perceived personalization, social presence, design aesthetics, consumer empowerment, parasocial interactions and privacy concerns are assessed as antecedents of willingness to disclose information.

Design/methodology/approach

Based on a self-administered survey, this study gathered data from 450 Chinese consumers. The data were analyzed using structural equation modeling via SmartPLS 4 software.

Findings

The findings indicate that (1) privacy concerns are negatively related to willingness to disclose information, (2) parasocial interaction reduces privacy concerns, (3) consumer empowerment is positively influenced by privacy protection and perceived personalization and (4) social presence and design aesthetics positively contribute to the formation of parasocial interaction.

Originality/value

The current study serves to reinforce a theoretical understanding of the willingness to disclose information in mobile banking apps, which is underresearched. The findings offer alternative psychological mechanisms (i.e. consumer empowerment and parasocial interaction) and relevant mobile banking app attributes to explain the willingness to disclose information.

Details

International Journal of Bank Marketing, vol. 43 no. 3
Type: Research Article
ISSN: 0265-2323

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Article
Publication date: 29 October 2024

Guangde Zhou, Menghao Zhan, Dan Huang, Xiaolong Lyu and Kanghao Yan

By seamlessly integrating physical laws, physics-informed neural networks (PINNs) have flexibly solved a wide variety of partial differential equations (PDEs). However, encoding…

44

Abstract

Purpose

By seamlessly integrating physical laws, physics-informed neural networks (PINNs) have flexibly solved a wide variety of partial differential equations (PDEs). However, encoding PDEs and constraints as soft penalties in the loss function can cause gradient imbalances, leading to training and accuracy issues. This study aims to introduce the augmented Lagrangian method (ALM) and transfer learning to address these challenges and enhance the effectiveness of PINNs for hydrodynamic lubrication analysis.

Design/methodology/approach

The loss function was reformatted by ALM, adaptively adjusting the loss weights during training. Transfer learning was used to accelerate the convergence of PINNs under similar conditions. Additionally, the iterative process for load balancing was reframed as an inverse problem by extending film thickness as a trainable variable.

Findings

ALM-PINNs significantly reduced the maximum absolute boundary error by almost 80%. Transfer learning accelerated PINNs for solving the Reynolds equation, reducing training epochs by an order of magnitude. The iterative process for load balancing was effectively eliminated by extending the thickness as a trainable parameter, achieving a maximum percentage error of 2.31%. These outcomes demonstrated strong agreement with FDM results, analytical solutions and experimental data.

Originality/value

This study proposes a PINN-based approach for hydrodynamic lubrication analysis that significantly improves boundary accuracy and the training process. Additionally, it effectively replaces the load balancing procedure. This methodology demonstrates considerable potential for broader applications across various boundary value problems and iterative processes.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2024-0277/

Details

Industrial Lubrication and Tribology, vol. 76 no. 10
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 24 May 2024

Susminingsih Susminingsih, Abdul Mujib, Anis Wahdati, Mochammad Achwan Baharuddin and Dian Sa'adillah Maylawati

This study aims to examine the factors that influence the increase in purchase intention toward green batik products with religiosity as an intervening variable.

324

Abstract

Purpose

This study aims to examine the factors that influence the increase in purchase intention toward green batik products with religiosity as an intervening variable.

Design/methodology/approach

The study used a survey method that involved a sample size of 185 participants selected through purposive and accidental sampling techniques. The analysis was conducted by using IBM SPSS AMOS 21 software. The collected data were subjected to path analysis using multiple linear regression models.

Findings

The result indicated that religiosity plays a mediating role in the association between factors and the intention to purchase green product (GPd) of the Indonesian natural dye batik product. This finding is in accordance with the construction of theory of planned behavior in understanding consumer purchase intentions. GPd, green brand and green price exhibited a positive correlation with green purchase intention (GPI). Interestingly, the price was found to no longer serve as the primary factor in GPI.

Research limitations/implications

The analysis would have been more compelling if it had used a mixed-method approach by introducing the variables of customer satisfaction and promotion.

Practical implications

This research postulates that increased prices are no longer a deterrent to the purchase of GPd. Instead, consumer consciousness regarding GPd plays a pivotal role in driving GPI. GPd have revolutionized individuals’ consumption patterns to contribute to environmental preservation. The use of green batik products is seen as advantageous in helping mitigate environmental degradation.

Originality/value

The present research assesses the impact of religiosity, as an intervening variable, on the augmentation of GPI by gauging its significance in enhancing ecological consciousness and moral values.

Details

Journal of Islamic Marketing, vol. 15 no. 12
Type: Research Article
ISSN: 1759-0833

Keywords

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