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Article
Publication date: 29 October 2021

Junyi Wei and Chuanxu Wang

The objective of this paper is to investigate the impact of the information sharing of the dynamic demand on green technology innovation and profits in supply chain from a…

519

Abstract

Purpose

The objective of this paper is to investigate the impact of the information sharing of the dynamic demand on green technology innovation and profits in supply chain from a long-term perspective.

Design/methodology/approach

The authors consider a supply chain consisting of a manufacturer and a retailer. The retailer has access to the information of dynamic demand of the green product, whereas the manufacturer invests in green technology innovation. Differential game theory is adopted to establish three models under three different scenarios, namely (1) decentralized decision without information sharing of dynamic demand (Model N-D), (2) decentralized decision with information sharing of dynamic demand (Model S-D) and (3) centralized decision with information sharing of dynamic demand (Model S-C).

Findings

The optimal equilibrium results show that information sharing of dynamic demand can improve the green technology innovation level and increase the green technology stocks only in centralized supply chain. In the long term, the information sharing of dynamic demand can make the retailer more profitable. If the influence of green technology innovation on green technology stocks is great enough or the cost coefficient of green technology innovation is small enough, the manufacturer and decentralized supply chain can benefit from information sharing. In centralized supply chain, the value of demand information sharing is greater than that of decentralized supply chain.

Originality/value

The authors used game theory to investigate demand information sharing and the green technology innovation in a supply chain. Specially, the demand information is dynamic, which is a variable that changes over time. Moreover, our research is based on a long-term perspective. Thus, differential game is adopted in this paper.

Details

Kybernetes, vol. 52 no. 1
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 13 October 2022

Ziyan Wang, Xueli Yang, Caixuan Sun, Hongyan Liu, Junkai Shao, Mengjie Wang, Junyi Dong, Guanlong Cao and Guofeng Pan

This paper aims to successfully synthesize three-dimensional spindle-like Au functionalized Co3O4-ZnO nanocomposites; characterize the structure, morphology and surface chemical…

130

Abstract

Purpose

This paper aims to successfully synthesize three-dimensional spindle-like Au functionalized Co3O4-ZnO nanocomposites; characterize the structure, morphology and surface chemical properties of the products; study the effect of Au NPs doping concentration, operating temperature different gas to, sensing properties; and introduce an attractive gas sensor for acetone detection.

Design/methodology/approach

Au NPs functionalized Co3O4-ZnO nanocomposite was prepared by coprecipitation and impregnation methods; the structure and surface chemical property of the products were characterized by XRD, SEM, TEM, UV-Vis, BET and XPS. The sensing ability of Au@Co3O4-ZnO for acetone and mechanism was analyzed systematically.

Findings

The results of gas sensing tests show that the unique component structure, Schottky junction and catalytic effect of Au functionalization make it have low operating temperature, excellent selectivity, high response (10 ppm, 56) and rapid response recovery time.

Research limitations/implications

All the characterization and test data of the prepared materials are provided in this paper and reveals the gas sensing mechanism of the gas sensor.

Practical implications

The detection limit is 2.92–100 ppb acetone. It is promising to be applied in low-power, micro detection and miniature acetone gas sensors.

Social implications

The gas sensor prepared has a lower working temperature and low detection limit, so it has promising application prospects in low-concentration acetone detection and early warning.

Originality/value

The unique component structure, Schottky junction and catalytic effect of Au functionalization Co3O4-ZnO make it have low operating temperature, excellent selectivity and rapid response recovery time.

Details

Sensor Review, vol. 42 no. 6
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 11 September 2017

Depeng Zhang, Fuli Zhang, Mengfei Lin and Helen S. Du

Based upon social cognition and social exchange theories, the purpose of this paper is to develop and test a conceptual model, suggesting that customer psychological capitals…

1353

Abstract

Purpose

Based upon social cognition and social exchange theories, the purpose of this paper is to develop and test a conceptual model, suggesting that customer psychological capitals (CPCs) affect their knowledge sharing behavior (KSB) within a virtual innovation community (VIC) under the influence of material reward (MR) and reciprocal relationship (RR).

Design/methodology/approach

The sample comprises of valid responses collected from 516 customers in five virtual innovation communities via an online survey. The authors adopted the hierarchical regression method to mitigate any concerns relating to endogeneity within the models, and also to test the relationships among the variables.

Findings

CPC, MR and RR are found to have a profound impact on their enthusiasm to share knowledge. Environmental factors play an important role in shaping the effects of CPC on KSB. MR tends to weaken the positive effect of CPC on KSB, whilst RR tends to strengthen the positive effect.

Practical implications

To effectively manage a VIC, firms should make full use of the positive impact of CPC on KSB, set up appropriate incentive mechanisms and create a virtuous community atmosphere to encourage knowledge sharing.

Originality/value

This study integrates two theoretical perspectives to examine which types of psychological and environmental factors, and which combinations of these factors, affect innovative customers to share knowledge. It offers useful guidelines for firms to engage in effective customer-driven products, services and/or processes innovation.

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Book part
Publication date: 8 November 2019

Abstract

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Delivering Tourism Intelligence
Type: Book
ISBN: 978-1-78769-810-9

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Article
Publication date: 16 December 2024

Wujiu Pan, Heng Ma, Jian Li, Qilong Wu, Junyi Wang, Jianwen Bao, Lele Sun and Peng Gao

Aero-engine casings commonly use composite cylindrical shell structures with excellent properties such as corrosion resistance and fatigue resistance. Still, their vibration…

19

Abstract

Purpose

Aero-engine casings commonly use composite cylindrical shell structures with excellent properties such as corrosion resistance and fatigue resistance. Still, their vibration behavior is relatively complex and may cause fatigue vibration damage, so it is essential to analyze the vibration characteristics of composite cylindrical shells. The purpose of this paper is to analyze the vibration characteristics of multilayer composite cylindrical shells subjected to external pressures and having different interlayer thickness ratios and provide some theoretical basis for the fatigue damage prediction of cylindrical shell casing to ensure the safety and stability of the engine during flight.

Design/methodology/approach

Firstly, the vibration differential equation with external pressure is established based on Soedel theory considering nonlinear effects, while four symmetric boundary conditions are chosen to constrain the cylindrical shell. Then the Rayleigh–Ritz method, which is more efficient and accurate in calculating large structural systems, is applied to solve the problem, and the theoretical model of three-layer cylindrical shell under external pressure is established. The accuracy of the model is verified by comparing the data with the specialized literature. Subsequently, the effects of different external pressures and different thickness-to-diameter ratios, different length-to-diameter ratios and different interlayer thickness percentages on the natural frequency of multilayer composite cylindrical shells were investigated by control variable analysis.

Findings

The conclusions obtained show that the external pressure increases the natural frequency of the cylindrical shell and that the frequency characteristics of the cylindrical shell vary for different boundary conditions. The effect of length-to-diameter ratio, thickness-to-diameter ratio and the percentage of the thickness of the intermediate layer on the natural frequency of the cylindrical shell are significantly increased under external pressure. Because the presence of external pressure increases the frequency of the cylindrical shell by about 70%, it has almost no effect on the frequency at the minimum number of circumferential waves, and the effect on the frequency at the maximum number of circumferential waves is reduced to about 50%. The frequencies in the SL-SL boundary condition are all in perfect agreement with the S-S boundary condition under the influence of different influencing factors.

Originality/value

In this paper, the effect of external pressure and the natural properties of the cylindrical shell under external pressure on the cylindrical shell’s frequency is considered, emphasizing the effect of different layer thickness ratios on the frequency. This paper aims to summarize the changing law between the natural frequency of the cylindrical shell itself and different design parameters during the flight pressure process. Reliable theoretical predictions are provided for analyzing the vibrational behavior of shells subjected to external pressures in aerospace, as well as a database for the practical production of cylindrical shells.

Details

Engineering Computations, vol. 42 no. 1
Type: Research Article
ISSN: 0264-4401

Keywords

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Article
Publication date: 6 February 2024

Junyi Chen, Buqing Cao, Zhenlian Peng, Ziming Xie, Shanpeng Liu and Qian Peng

With the increasing number of mobile applications, efficiently recommending mobile applications to users has become a challenging problem. Although existing mobile application…

71

Abstract

Purpose

With the increasing number of mobile applications, efficiently recommending mobile applications to users has become a challenging problem. Although existing mobile application recommendation approaches based on user attributes and behaviors have achieved notable effectiveness, they overlook the diffusion patterns and interdependencies of topic-specific mobile applications among user groups. mobile applications among user groups. This paper aims to capture the diffusion patterns and interdependencies of mobile applications among user groups. To achieve this, a topic-aware neural network-based mobile application recommendation method, referred to as TN-MR, is proposed.

Design/methodology/approach

In this method, first, the user representations are enhanced by introducing a topic-aware attention layer, which captures both the topic context and the diffusion history context. Second, it exploits a time-decay mechanism to simulate changes in user interest. Multitopic user representations are aggregated by the time decay module to output the user representations of cascading representations under multiple topics. Finally, user scores that are likely to download the mobile application are predicted and ranked.

Findings

Experimental comparisons and analyses were conducted on the actual 360App data set, and the results demonstrate that the effectiveness of mobile application recommendations can be significantly improved by using TN-MR.

Originality/value

In this paper, the authors propose a mobile application recommendation method based on topic-aware attention networks. By capturing the diffusion patterns and dependencies of mobile applications, it effectively assists users in selecting their applications of interest from thousands of options, significantly improving the accuracy of mobile application recommendations.

Details

International Journal of Web Information Systems, vol. 20 no. 2
Type: Research Article
ISSN: 1744-0084

Keywords

Available. Content available
Book part
Publication date: 19 November 2009

Abstract

Details

Pedestrian Behavior
Type: Book
ISBN: 978-1-848-55750-5

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Book part
Publication date: 29 January 2013

Abstract

Details

Transport Survey Methods
Type: Book
ISBN: 978-1-78-190288-2

Available. Content available
Book part
Publication date: 31 January 2015

Free Access. Free Access

Abstract

Details

Bounded Rational Choice Behaviour: Applications in Transport
Type: Book
ISBN: 978-1-78441-071-1

Available. Content available
Book part
Publication date: 31 January 2015

Free Access. Free Access

Abstract

Details

Bounded Rational Choice Behaviour: Applications in Transport
Type: Book
ISBN: 978-1-78441-071-1

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