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Article
Publication date: 5 December 2024

Haihua Wang, Shujie Li, Yanyan Gong and Ying Wang

This study aims to investigate the impact of corporate social responsibility (CSR) on green innovation by considering the three dimensions of green innovation cognition, behavior…

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Abstract

Purpose

This study aims to investigate the impact of corporate social responsibility (CSR) on green innovation by considering the three dimensions of green innovation cognition, behavior and outcomes and to explore the role of situational and measurement factors in this relationship.

Design/methodology/approach

This study adopts a meta-analysis method to integrate 208,997 observations from 48 independent empirical studies on CSR and green innovation.

Findings

CSR positively affects green innovation cognition, behavior and outcomes. Additionally, the relationship between CSR and green innovation is stronger in Western cultural background than in Eastern ones. The impact of CSR on green innovation is also more significant in small and medium-sized enterprises (SMEs). Moreover, this study shows that the correlation between CSR and green innovation is stronger when the source of data is primary data and when green innovation is measured by non-patent methodologies.

Originality/value

This study elucidates the impact of CSR on green innovation and further clarifies the potential reasons for the divergent findings in existing related studies. The article enriches the theoretical results related to CSR and green innovation and provides valuable insights and references for corporate decision-makers.

Details

Chinese Management Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-614X

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Article
Publication date: 12 October 2018

Yanyan Pu, Zongchao Yu, Fengqin Wang, Yiyuan Fu, Tao Yan and Honglin Cheng

The purpose of this study is to develop luminescence sensors for the detection of nitroaromatic compounds (NACs) and metal ions to protect human health and prevent environmental…

319

Abstract

Purpose

The purpose of this study is to develop luminescence sensors for the detection of nitroaromatic compounds (NACs) and metal ions to protect human health and prevent environmental pollution.

Design/methodology/approach

The composition and morphology of Eu-metal-organic frameworks (MOF) (1) were well characterized by powder X-ray diffraction, elemental analyses, Fourier-transform infrared spectroscopy, thermogravimetric analysis, X-ray photoelectron spectroscopy and scanning electron microscopy. The emission spectrum displays that 1 has significant characteristic emission bands of Eu(III) ions. The authors further investigated the fluorescence sensing performances of 1 to NACs and metal ions.

Findings

The results show that Eu-MOF (1) exhibits significant fluorescence quenching effect toward p-nitroaniline and Fe3+ ions with good stability and recyclability. This means that 1 can be used as a multifunctional sensing material for the detection of p-nitroaniline and Fe3+ ions.

Originality/value

The authors have successfully synthesized a fluorescence Eu-based sensing material under hydrothermal conditions. In addition, the fluorescence property and sensing performances for detecting NACs and metal ions were studied. The results suggest that 1 has highly selective fluorescence quenching toward p-nitroaniline and Fe3+ ions with not only high sensitivity and selectivity but also excellent stability and recyclability. Furthermore, this study has confirmed that the multifunctional MOF material is very useful in environment pollutants’ detection and monitoring.

Details

Sensor Review, vol. 39 no. 2
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 24 July 2023

Zhang Yanyan, Chuen-Khee Pek and Tat-Huei Cham

This study aims to look into consumers' green consumption intention by incorporating social media exposure, environmental concern and habit into theory of planned behavior (TPB…

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Abstract

Purpose

This study aims to look into consumers' green consumption intention by incorporating social media exposure, environmental concern and habit into theory of planned behavior (TPB) in the context of China advocating green consumption.

Design/methodology/approach

Based on the data collected from online survey, this study use partial least squares structural equation modeling (PLS-SEM) to analysis the measurement model and structure model.

Findings

The results show attitude, social media exposure, environmental concern and subjective norms are important determinants of consumers' intention to purchase green products.

Originality/value

This study explores the new associations between the major constructs of the TPB model in green consumption. This study also expanded the TPB model by adding three extra factors, namely social media exposure, habit and environmental concern. In addition, this study attempts to bridge the gap between attitude and intention from a new perspective by using social media exposure as a moderating variable.

Details

Journal of Strategy and Management, vol. 16 no. 4
Type: Research Article
ISSN: 1755-425X

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Article
Publication date: 29 November 2024

Tianyu Yan, Weizhe Yang, Yanyan He and Qinglong Gou

This study aims to investigate the effect of the reference quality on the optimal production strategy of a component manufacturer (CM), which mainly concerns whether to sell its…

49

Abstract

Purpose

This study aims to investigate the effect of the reference quality on the optimal production strategy of a component manufacturer (CM), which mainly concerns whether to sell its high quality self-branded products and whether to supply critical components to a competitive original equipment manufacturer (OEM) who produces low quality products.

Design/methodology/approach

The study considers a supply chain comprising an OEM, a CM and a third-party component manufacturer (TCM), who produces components with uncertain quality. The OEM selects a supplier between the CM and the TCM to produce products. Anticipating the OEM’s supplier selection, the CM chooses among three alternative production strategies. For each alternative strategy of the CM, the authors derive the equilibrium solutions between the OEM and the CM with or without the reference quality effect. Then, the authors obtain the effect of the reference quality on the CM by comparing the CM’s optimal strategy between the two situations.

Findings

First, the reference quality has opposite effects on the CM’s production strategy depending on the competition results. A high reference quality effect motivates the CM to solely sell the self-branded products if the OEM can always enter the final product market when purchasing from the TCM, and to sell both self-branded products and components if the OEM cannot enter the market when using the TCM’s low quality components. Second, the reference quality effect motivates the OEM to accept a higher wholesale price from the CM. Third, the reference quality effect can make the CM benefit from a more stable TCM in competition.

Originality/value

This paper first considers the impact of the reference quality effect on the CM’s production strategy. By considering consumers’ behavior in a co-opetitive supply chain, this paper contributes to both literature and practice.

Details

Journal of Modelling in Management, vol. 20 no. 1
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 25 October 2024

Yanyan Shi, Hao Su, Meng Wang, Hanxiao Dou, Bin Yang and Feng Fu

In the brain imaging based on electrical impedance tomography, it is sometimes not able to attach 16 electrodes due to space restriction caused by craniotomy. As a result of this…

32

Abstract

Purpose

In the brain imaging based on electrical impedance tomography, it is sometimes not able to attach 16 electrodes due to space restriction caused by craniotomy. As a result of this, the number of boundary measurements decreases, and spatial resolution of reconstructed conductivity distribution is reduced. The purpose of this study is to enhance reconstruction quality in cases of limited measurement.

Design/methodology/approach

A new data expansion method based on the shallow convolutional neural network is proposed. An eight-electrode model is built from which fewer boundary measurements can be obtained. To improve the imaging quality, shallow convolutional neural network is constructed which maps limited voltage data of the 8-electrode model to expanded voltage data of a quasi-16-electrode model. The predicted data is compared with the quasi-16-electrode data. Besides, image reconstruction based on L1 regularization method is conducted.

Findings

The results show that the predicted data generally coincides with the quasi-16-electrode data. It is found that images reconstructed with the data of eight-electrode model are the poorest. Nevertheless, imaging results when the limited data is expanded by the proposed method show large improvement, and there is a minor difference with the images recovered with the quasi-16-electrode data. Also, the impact of noise is studied, which shows that the proposed method is robust to noise.

Originality/value

To enhance reconstruction quality in the case of limited measurement, a new data expansion method based on the shallow convolutional neural network is proposed. Both simulation work and phantom experiments have demonstrated that high-quality images of cerebral hemorrhage and cerebral ischemia can be obtained when the limited measurement is expanded by the proposed method.

Details

Sensor Review, vol. 45 no. 1
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 12 September 2023

Yanyan Shi, Fenglan Huang, Meng Wang and Yongheng Li

To solve the problem of low sensitivity of traditional capacitive proximity sensor, this paper aims to propose a novel capacitive sensor for detection of an approaching conductor.

188

Abstract

Purpose

To solve the problem of low sensitivity of traditional capacitive proximity sensor, this paper aims to propose a novel capacitive sensor for detection of an approaching conductor.

Design/methodology/approach

Five capacitive proximity sensors with different structures are designed and the performance is compared with the traditional capacitive sensor. The impacts of geometrical parameters on the performance of the proposed capacitive sensor are studied. Furthermore, the sensitivity of the proposed capacitive sensor to an approaching conductor with different sizes is discussed. Also, how the designed capacitive sensor is sensitive to the lateral placement of the approaching object is analyzed.

Findings

Several capacitive proximity sensor structures have been designed and analyzed. It is found that the capacitive sensor with the top small ring-bottom large ring structure shows stronger electric field distribution around the top electrode and higher sensitivity to the approaching conductor than other sensors. Through further analysis of the proposed sensor, the results demonstrate that proposed capacitive sensor is effective for proximity object detection.

Originality/value

This paper proposes a novel capacitive proximity sensor with top small ring-bottom large ring structure. Compared with the traditional capacitive sensor, the proposed capacitive sensor is more sensitive to the approaching object. This would be helpful for the accurate detection of the approaching object. Also, the top and bottom electrodes are much smaller.

Details

Sensor Review, vol. 43 no. 5/6
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 2 August 2021

Tengjiang Yu, Haitao Zhang, Junfeng Sun, Yabo Wang, Shuang Huang and Dan Chen

Using typical structure of asphalt pavement in Harbin area of China, and the formula of generalized friction coefficient between base and surface layers of asphalt pavement in…

120

Abstract

Purpose

Using typical structure of asphalt pavement in Harbin area of China, and the formula of generalized friction coefficient between base and surface layers of asphalt pavement in cold area is established.

Design/methodology/approach

Through structural characteristics analysis of asphalt pavement in cold area, the generalized formula of friction coefficient between base and surface layers of asphalt pavement in cold area is derived. The formula can quickly calculate the friction coefficient between layers of asphalt pavement.

Findings

Based on quantitative analysis to the contacting state between layers of asphalt pavement in cold area, the relationships between generalized friction coefficient and resilient modulus of asphalt mixtures, temperature shrinkage coefficient and temperature have been established.

Originality/value

The findings can enrich the description methods about the contacting state between layers of asphalt pavement, and have a certain theoretical and practical value. Through the application of the formula of generalized friction coefficient between layers, it can provide a technical basis for the asphalt pavement design, construction and maintenance in cold area.

Details

Journal of Engineering, Design and Technology , vol. 21 no. 1
Type: Research Article
ISSN: 1726-0531

Keywords

Available. Content available

Abstract

Details

International Marketing Review, vol. 41 no. 5
Type: Research Article
ISSN: 0265-1335

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Article
Publication date: 21 August 2019

Zhifang Zhou, Tao Zhang, Jiachun Chen, Huixiang Zeng and Xiaohong Chen

This paper investigates the relationship between product market competition and firms’ water information disclosure and how firms’ ownership type can affect this relationship in…

715

Abstract

Purpose

This paper investigates the relationship between product market competition and firms’ water information disclosure and how firms’ ownership type can affect this relationship in China, offering new insights into corporate water management.

Design/methodology/approach

The authors investigated 303 Chinese listed companies in highly water-sensitive industries to examine how product market competition influences corporate water information disclosure by subdividing the product market competition into market competition at the firm level and the industry competition intensity at the industry level.

Findings

The results show that there exists an inverted U-shaped relationship between industry competition and water information disclosure; enterprises with the highest market power in a mildly competitive industry are more willing to voluntarily disclose water information and play an industry benchmarking role. Further tests demonstrate that the relationship between industry competition intensity and water information disclosure is stronger for state-owned enterprises than for private enterprises.

Research limitations/implications

The current water resources regulations in China are relatively lax and the water risk awareness of firms is weak, which may affect the applicability of the results. In addition, water information disclosure research is a relatively new field and a quantitative index system for water information disclosure is still in the exploratory stage. Further developments, including the selection, definition and measuring methods of a water index are required.

Practical implications

The authors developed a new direction of enterprise water management activities from the perspective of market competition. Based on the market conditions in China, the authors also investigated the impact of the ownership type of the enterprises on the relationship between market competition and water information disclosure.

Social implications

The authors suggested that the government should improve laws and regulations and adopt incentive mechanisms to encourage enterprises to implement water resource management. In addition, the government should encourage high market status enterprises to actively fulfill their environmental responsibilities so that the entire industry is encouraged to follow suit.

Originality/value

This study represents an important development in the field of environmental accounting and is the first research on corporate water information disclosure; it also extends the research on the influence mechanisms of market competition on the environmental management practices of enterprises.

Details

Sustainability Accounting, Management and Policy Journal, vol. 11 no. 5
Type: Research Article
ISSN: 2040-8021

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