Chen Wang, Ran Zhang, Taiwen Feng and Jingyi Tao
This study aims to investigate the impact of environmental responsibility (ER) on consumers' green customization intention (GCI), as well as the separate and joint moderating…
Abstract
Purpose
This study aims to investigate the impact of environmental responsibility (ER) on consumers' green customization intention (GCI), as well as the separate and joint moderating effects of consumers' negative perceptions and environmental claim type (ECT) on the relationship between ER and GCI.
Design/methodology/approach
In this study, two online experimental questionnaires and one between-subject lab experiment were conducted to test all hypotheses.
Findings
This study found that high-ER consumers are more likely to choose environmental options in the product customization process (versus low ER). The effect of ER on consumers' GCI is moderated by consumers' negative perceptions of green consumption (e.g. green skepticism and perceived environmental premium (PEP)). Additionally, ECT's joint moderating effect and consumers' negative perception of green customization consumption can be decreased by a substantive (versus associative) claim type in message framing.
Practical implications
The findings provide new insights into the factors affecting consumers' GCIs and have significant practical implications. First, consumers' different ER levels should not be neglected when examining the value of green customization. Second, consumers' green skepticism and PEP could reduce consumers' GCI. Third, the use of substantive environmental claims may also be particularly helpful for companies' communication strategies regarding consumers' low-level negative perceptions of green options.
Originality/value
While previous studies state “environmental responsibility” as a key characteristic of general green consumption, the authors extend that to a green customization process and connect that with consumers' negative perceptions and ECT. In addition, the separate and joint moderating effects of consumers' negative perceptions and ECT were examined. Thus, these findings refine the existing understanding of the relationship between ER and green customization.
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Juan Tao, Wu Yingying and Zhang Jingyi
The purpose of this paper is to re-examine the effectiveness of price limits on stock volatilities in China over a more recent time period spanning from 2007 to 2012. The…
Abstract
Purpose
The purpose of this paper is to re-examine the effectiveness of price limits on stock volatilities in China over a more recent time period spanning from 2007 to 2012. The motivation stems from the fact that very high stock market volatilities are observed in China and we are sceptical of the volatility mitigating effect claimed by advocates of price limits.
Design/methodology/approach
The effectiveness of price limits on volatilities is examined using an event study methodology and within an expanded framework of volatility-volume relationships. The sample stocks include the 300 component stocks of the CSI300 Index.
Findings
Both event study and regression analysis suggest that price limits exaggerate market volatilities by causing volatility spillovers. The destabilising effect is much more pronounced for small firm stocks and when the market falls. In addition to the informational source of volatilities (represented by volume), price limits create another non-trivial frictional source of volatilities in China’s stock market.
Originality/value
This research is the first to re-examine the price limit effect in China’s stock market in an expanded framework of volatility-volume relationships. It identifies price limits, in addition to information, as another non-trivial frictional source of volatilities. The findings derived from a recent sample period confirm the conventional view of inefficiency of price limits raised by Fama (1989) and provide evidence in support of the pervasive trend of stock market deregulations.
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Sensen Hu, Jingyi Lu, Xinghong Qin and Shahnawaz Talpur
As a potentially disruptive technology, blockchain technology ensures that all the data cannot be merely tampered with once they are recorded on-chain. However, the fake source…
Abstract
Purpose
As a potentially disruptive technology, blockchain technology ensures that all the data cannot be merely tampered with once they are recorded on-chain. However, the fake source information may be input into the blockchain, which is mistaken for truthful data and results in a trust divide between the on-chain and the actual world. One missing perspective from previous studies is information manipulation at the source still exists under the blockchain mode. The authors’ goal was to analyze how blockchain technology affects the information deception of the agricultural product supply chain (APSC) under this premise. Also, the authors further analyzed some factors that influence the effectiveness of blockchain technology.
Design/methodology/approach
The authors build an APSC game model consisting of a farmer and an agricultural product broker, which employs the principal–agent game model to explore the conditions for achieving the mutual trust equilibrium between the two parts. Then, through numerical simulation, the authors further analyze how the quality of on-chain information and the numbers of on-chain firms affect blockchain’s effect on deception in APSC and examine the circumstances in which blockchain technology is more suitable.
Findings
The authors demonstrate that only by meeting the threshold of high-quality on-chain information and having a sufficient number of on-chain firms, can the blockchain-based supply chain initiate a better information ecosystem, which helps eradicate deception in the APSC.
Originality/value
This paper provides valuable insights for participants in supply chains as well as is probably generalizable to other industrial products that require similar services in the early stage of blockchain.
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Jingru Lian, Xiaobing Fan, Bin Xu, Shan Li, Zhiqing Tian, Mengdan Wang, Bingli Pan and Hongyu Liu
This paper aims to regulate the oil retention rate and tribological properties of pored polytetrafluoroethylene (PPTFE) using polyvinyl alcohol (PVA)-based oil gel.
Abstract
Purpose
This paper aims to regulate the oil retention rate and tribological properties of pored polytetrafluoroethylene (PPTFE) using polyvinyl alcohol (PVA)-based oil gel.
Design/methodology/approach
PPTFE was first prepared by using citric acid (CA) as an efficient pore-making agent. Subsequently, PVA and chitosan solution was introduced into the pores and experienced a freezing-thawing process, forming PVA-based gels inside the pores. Then, the PPTFE/PVA composite was impregnated with polyethylene glycol 200 (PEG200), yielding an oil-impregnated PPTFE/PVA/PEG200 composite.
Findings
It was found that the oil-impregnated PPTFE/PVA/PEG200 composite exhibited advanced tribological properties than neat PTFE with reductions of 53% and 70% in coefficient of friction and wear rate, respectively.
Originality/value
This study shows an efficient strategy to regulate the tribological property of PTFE using a PVA-based oil-containing gel.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2024-0432/
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Yanshuang Mei, Xin Xu and Xupin Zhang
Urban digital transformation has become a key strategy in global countries. This study aims to provide a comprehensive and dynamic exploration of the intrinsic traits associated…
Abstract
Purpose
Urban digital transformation has become a key strategy in global countries. This study aims to provide a comprehensive and dynamic exploration of the intrinsic traits associated with urban digital transformation, in order to yield detailed insights that can contribute to the formulation of well-informed decisions and strategies in the field of urban development initiatives.
Design/methodology/approach
Through analysis of parallels between urban digital transformation and gyroscope motion in physics, the study developed the urban digital transformation gyroscope model (UDTGM), which comprises of seven core elements. With the balanced panel dataset from 268 cities at and above the prefecture level in China, we validate the dynamic mechanism of this model.
Findings
The findings of this study underscore that the collaboration among infrastructure development, knowledge-driven forces and economic operations markedly bolsters the urban digital transformation gyroscope’s efficacy.
Practical implications
This research introduces a groundbreaking framework for comprehending urban digital transformation, potentially facilitating its balanced and systemic practical implementation.
Originality/value
This study pioneers the UDTGM theoretically and verifies the dynamic mechanism of this model with real data.
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Xunpeng Shi, James Laurenceson and Yuanling Liu
This paper aims to investigate the multifaced aspects and consequences of the EU Carbon Border Adjustment Mechanism (CBAM) from an Australia-China Relationship perspective.
Abstract
Purpose
This paper aims to investigate the multifaced aspects and consequences of the EU Carbon Border Adjustment Mechanism (CBAM) from an Australia-China Relationship perspective.
Design/methodology/approach
This paper leverages the SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis to examine both the internal and external factors that affect Australia and China in the context of the CBAM. In addition, we employ the PEST (Political, Economic, Social and Technological) framework to identify effective strategies for Australia-China cooperation following the implementation of the CBAM.
Findings
Our analysis reveals numerous mutual interests and opportunities for bilateral collaboration, despite challenges and threats, positioning the CBAM as a potentially significant catalyst for joint initiatives.
Practical implications
This paper proposes 10 potential areas for Australia and China cooperation from the political economic social and technological PEST dimensions.
Originality/value
This paper makes a pioneering attempt to explore potential strategies, both individually, and together, that Australia and China can adopt to manage the impact and consequence of CBAM.
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Shenlong Wang, Kaixin Han and Jiafeng Jin
In the past few decades, the content-based image retrieval (CBIR), which focuses on the exploration of image feature extraction methods, has been widely investigated. The term of…
Abstract
Purpose
In the past few decades, the content-based image retrieval (CBIR), which focuses on the exploration of image feature extraction methods, has been widely investigated. The term of feature extraction is used in two cases: application-based feature expression and mathematical approaches for dimensionality reduction. Feature expression is a technique of describing the image color, texture and shape information with feature descriptors; thus, obtaining effective image features expression is the key to extracting high-level semantic information. However, most of the previous studies regarding image feature extraction and expression methods in the CBIR have not performed systematic research. This paper aims to introduce the basic image low-level feature expression techniques for color, texture and shape features that have been developed in recent years.
Design/methodology/approach
First, this review outlines the development process and expounds the principle of various image feature extraction methods, such as color, texture and shape feature expression. Second, some of the most commonly used image low-level expression algorithms are implemented, and the benefits and drawbacks are summarized. Third, the effectiveness of the global and local features in image retrieval, including some classical models and their illustrations provided by part of our experiment, are analyzed. Fourth, the sparse representation and similarity measurement methods are introduced, and the retrieval performance of statistical methods is evaluated and compared.
Findings
The core of this survey is to review the state of the image low-level expression methods and study the pros and cons of each method, their applicable occasions and certain implementation measures. This review notes that image peculiarities of single-feature descriptions may lead to unsatisfactory image retrieval capabilities, which have significant singularity and considerable limitations and challenges in the CBIR.
Originality/value
A comprehensive review of the latest developments in image retrieval using low-level feature expression techniques is provided in this paper. This review not only introduces the major approaches for image low-level feature expression but also supplies a pertinent reference for those engaging in research regarding image feature extraction.