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Article
Publication date: 3 January 2017

Jiaqi Jia and Haibin Duan

The purpose of this paper is to propose a novel target automatic recognition method for unmanned aerial vehicle (UAV), which is based on backpropagation – artificial neural…

467

Abstract

Purpose

The purpose of this paper is to propose a novel target automatic recognition method for unmanned aerial vehicle (UAV), which is based on backpropagation – artificial neural network (BP-ANN) algorithm, with the objective of optimizing the structure of backpropagation network, to increase the efficiency and decrease the recognition time. A hardware-in-the-loop system for UAV target automatic recognition is also developed.

Design/methodology/approach

The hybrid model of BP-ANN structure is established for aircraft automatic target recognition. This proposed method identifies controller parameters and reduces the computational complexity. Approaching speed of the network is faster and recognition accuracy is higher. This kind of network combines or better fuses the advantages of backpropagation artificial neural algorithm and Hu moment. with advantages of two networks and improves the speed and accuracy of identification. Finally, a hardware-in-the-loop system for UAV target automatic recognition is also developed.

Findings

The double hidden level backpropagation artificial neural can easily increase the speed of recognition process and get a good performance for recognition accuracy.

Research limitations/implications

The proposed backpropagation artificial neural algorithm can be ANN easily applied to practice and can help the design of the aircraft automatic target recognition system. The standard backpropagation algorithm has some obvious drawbacks, namely, converging slowly and falling into the local minimum point easily. In this paper, an improved algorithm based on the standard backpropagation algorithm is constructed to make the aircraft target recognition more practicable.

Originality/value

A double hidden levels backpropagation artificial neural algorithm is presented for automatic target recognition system of UAV.

Details

Aircraft Engineering and Aerospace Technology, vol. 89 no. 1
Type: Research Article
ISSN: 1748-8842

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Article
Publication date: 26 September 2024

Miaomiao Li, Yinglin Qin and Jiaqi Le

This study investigates how downward envy affects interpersonal conflict, workplace ostracism and displaced aggression in the mentoring context. It seeks to deepen our…

139

Abstract

Purpose

This study investigates how downward envy affects interpersonal conflict, workplace ostracism and displaced aggression in the mentoring context. It seeks to deepen our understanding of how these dynamics influence a mentor–protégé relationship.

Design/methodology/approach

Employing a three-wave research design, this study uses a sample of 176 participants in mentoring relationships to test our proposed moderated mediation model.

Findings

Downward envy can increase interpersonal conflict, workplace ostracism and displaced aggression. A mentor’s social comparison orientation moderates these effects by amplifying the negative impacts of downward envy.

Research limitations/implications

These findings have practical implications for both mentors and protégés.

Practical implications

These findings have practical implications for both mentors and protégés.

Originality/value

This study contributes to the literature by focusing on downward envy within the mentoring context, yielding valuable insights to navigate mentoring experiences at work.

Details

Journal of Managerial Psychology, vol. 40 no. 1
Type: Research Article
ISSN: 0268-3946

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Article
Publication date: 9 January 2024

Jia Qi, Swarn Chatterjee, Sheri Worthy, Keith Herndon and Bartosz Wojdynski

Emerging literature on fintech has shown that consumers have been slow to adopt fintech-based products and services. However, limited literature is available regarding the factors…

763

Abstract

Purpose

Emerging literature on fintech has shown that consumers have been slow to adopt fintech-based products and services. However, limited literature is available regarding the factors associated with consumers' adoption of these products and services. This study aims to investigate the factors that are associated with consumer adoption of fintech-based products and services.

Design/methodology/approach

Data on the usage and perception of smartphone financial apps by US residents ages 18–70 was collected in the fall of 2020. Based on the Extended Post-Acceptance Model (EPAM) framework, Structural Equation Modeling and Confirmatory Factor Analysis were applied to inspect how financial capability, perceived security and perceived usefulness affect fintech adoption.

Findings

Fintech proficiency, investment risk tolerance and perceived safety are positively associated with the frequency of fintech application use upon adoption. Consumers are more likely to feel safer if they are more financially capable and technologically proficient. Consumers with higher risk tolerance tend to believe fintech apps are safe to use. Consumers with higher fintech proficiency are more likely to recognize the usefulness of fintech services.

Originality/value

The study introduces a revised EPAM framework with antecedent factors, fintech proficiency and risk tolerance to investigate the factors associated with consumer adoption of fintech-based products and services. The key findings of this study validate the EPAM in the American context. Additionally, this research is among the first to have confirmed the direct relationship between perceived security and fintech adoption. The results have practical implications for existing fintech companies, banks and financial institutions, policymakers and financial advisory practices considering adopting fintech-based services for their clients.

Details

International Journal of Bank Marketing, vol. 42 no. 3
Type: Research Article
ISSN: 0265-2323

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Article
Publication date: 3 September 2019

Jiaqi Yan, Jinlian Luo, Jianfeng Jia and Jing Zhong

The purpose of this paper is to explore the mechanisms by which high-commitment organization is associated with employees’ job performance through the perspective of taking charge…

1623

Abstract

Purpose

The purpose of this paper is to explore the mechanisms by which high-commitment organization is associated with employees’ job performance through the perspective of taking charge and the perceived strength of the human resource management (HRM) system.

Design/methodology/approach

Based on conservation of resources (COR) theory, the authors used two-wave survey data from 200 supervisor-subordinates pairs in China. This study uses hierarchical linear regression and bootstrapping method to analyze the mediated moderation effect.

Findings

The authors found that perceived high-commitment organization and perceived strength of the HRM system interact in predicting employees’ taking charge behavior, such that perceived high-commitment organization is more positively associated with taking charge when the perceived strength of the HRM system is high rather than low. In addition, taking charge mediates the relationship between interactive effects of perceived high-commitment organization and the perceived strength of the HRM system on employees’ job performance.

Originality/value

This study extended the high-commitment organization from the perspective of individual perception based on the COR theory and regard perceived high-commitment organization as an organizational resource.

Details

International Journal of Manpower, vol. 40 no. 7
Type: Research Article
ISSN: 0143-7720

Keywords

Available. Open Access. Open Access
Article
Publication date: 13 November 2023

Ming Gao, Anhui Pan, Yi Huang, Jiaqi Wang, Yan Zhang, Xiao Xie, Huanre Han and Yinghua Jia

The type 120 emergency valve is an essential braking component of railway freight trains, but corresponding diaphragms consisting of natural rubber (NR) and chloroprene rubber…

433

Abstract

Purpose

The type 120 emergency valve is an essential braking component of railway freight trains, but corresponding diaphragms consisting of natural rubber (NR) and chloroprene rubber (CR) exhibit insufficient aging resistance and low-temperature resistance, respectively. In order to develop type 120 emergency valve rubber diaphragms with long-life and high-performance, low-temperatureresistant CR and NR were processed.

Design/methodology/approach

The physical properties of the low-temperature-resistant CR and NR were tested by low-temperature stretching, dynamic mechanical analysis, differential scanning calorimetry and thermogravimetric analysis. Single-valve and single-vehicle tests of type 120 emergency valves were carried out for emergency diaphragms consisting of NR and CR.

Findings

The low-temperature-resistant CR and NR exhibited excellent physical properties. The elasticity and low-temperature resistance of NR were superior to those of CR, whereas the mechanical properties of the two rubbers were similar in the temperature range of 0 °C–150 °C. The NR and CR emergency diaphragms met the requirements of the single-valve test. In the low-temperature single-vehicle test, only the low-temperature sensitivity test of the NR emergency diaphragm met the requirements.

Originality/value

The innovation of this study is that it provides valuable data and experience for future development of type 120 valve rubber diaphragms.

Details

Railway Sciences, vol. 3 no. 1
Type: Research Article
ISSN: 2755-0907

Keywords

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Article
Publication date: 28 July 2021

Jiaqi Yan and Wenan Hu

Green product development is a pivotal way to achieve environmental sustainability. The purpose of this paper is to theorize and empirically test how environmentally specific…

1502

Abstract

Purpose

Green product development is a pivotal way to achieve environmental sustainability. The purpose of this paper is to theorize and empirically test how environmentally specific leadership enhances the green product development performance from the perspective of the HRM system. In this regard, the authors investigate the mediating role of the strength of the HRM system to change with regard to the relationship between environmentally specific leadership and green product development performance. For a substantial explanation of the boundary condition, the authors investigate the moderating role of the green HRM on the relationship between environmentally specific transformational leadership and the strength of the HRM system.

Design/methodology/approach

Based on climate strength theory, the authors use the three-wave survey data from 362 top or middle managers in the new energy industry of China. This study uses hierarchical linear regression and bootstrapping method to analyze the mediated moderation effect.

Findings

Results confirm a positive effect of environmentally specific leadership and the strength of the HRM system on green product development performance. The authors also found the mediation effect of the strength of the HRM system and the moderation effect of green HRM are all significant.

Originality/value

This study integrates the perspectives of both content-focused HRM and process-focused HRM and demonstrates why leadership and the HRM system could jointly enhance green product development performance in Asia.

Details

International Journal of Manpower, vol. 43 no. 3
Type: Research Article
ISSN: 0143-7720

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Article
Publication date: 19 May 2022

Jun Liu, Yunyun Yu, Fuad Mehraliyev, Sike Hu and Jiaqi Chen

Despite a significant focus on customer evaluation and sentiment analysis, limited attention has been paid to discrete emotional perspective in terms of the emotionality used in…

2133

Abstract

Purpose

Despite a significant focus on customer evaluation and sentiment analysis, limited attention has been paid to discrete emotional perspective in terms of the emotionality used in text. This paper aims to extend the general-sentiment dictionary in Chinese to a restaurant-domain-specific dictionary, visualize spatiotemporal sentiment trends, identify the main discrete emotions that affect customers’ ratings in a restaurant setting and identify constituents of influential emotions.

Design/methodology/approach

A total of 683,610 online restaurant reviews downloaded from Dianping.com were analyzed by a sentiment dictionary optimized by the authors; the main emotions (joy, love, trust, anger, sadness and surprise) that affect online ratings were explored by using multiple linear regression methods. After tracking these sentiment review texts, Latent Dirichlet Allocation (LDA) and LDA models with term frequency-inverse document frequency as weights were used to find the factors that constitute influential emotions.

Findings

The results show that it is viable to optimize or expand sentiment dictionary by word similarity. The findings highlight that love and anger have the highest effect on online ratings. The main factors that constitute consumers’ anger (local characteristics, incorrect food portions and unobtrusive location) and love (comfortable dining atmosphere, obvious local characteristics and complete supporting services) are identified. Different from previous studies, negativity bias is not observed, which poses a question of whether it has to do with Chinese culture.

Practical implications

These findings can help managers monitor the true quality of restaurant service in an area on time. Based on the results, restaurant operators can better decide which aspects they should pay more attention to; platforms can operate better and can have more manageable webpage settings; and consumers can easily capture the quality of restaurants to make better purchase decisions.

Originality/value

This study builds upon the existing general sentiment dictionary in Chinese and, to the best of the authors’ knowledge, is the first to provide a restaurant-domain-specific sentiment dictionary and use it for analysis. It also reveals the constituents of two prominent emotions (love and anger) in the case of restaurant reviews.

Details

International Journal of Contemporary Hospitality Management, vol. 34 no. 10
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 21 February 2024

Faguo Liu, Qian Zhang, Tao Yan, Bin Wang, Ying Gao, Jiaqi Hou and Feiniu Yuan

Light field images (LFIs) have gained popularity as a technology to increase the field of view (FoV) of plenoptic cameras since they can capture information about light rays with…

105

Abstract

Purpose

Light field images (LFIs) have gained popularity as a technology to increase the field of view (FoV) of plenoptic cameras since they can capture information about light rays with a large FoV. Wide FoV causes light field (LF) data to increase rapidly, which restricts the use of LF imaging in image processing, visual analysis and user interface. Effective LFI coding methods become of paramount importance. This paper aims to eliminate more redundancy by exploring sparsity and correlation in the angular domain of LFIs, as well as mitigate the loss of perceptual quality of LFIs caused by encoding.

Design/methodology/approach

This work proposes a new efficient LF coding framework. On the coding side, a new sampling scheme and a hierarchical prediction structure are used to eliminate redundancy in the LFI's angular and spatial domains. At the decoding side, high-quality dense LF is reconstructed using a view synthesis method based on the residual channel attention network (RCAN).

Findings

In three different LF datasets, our proposed coding framework not only reduces the transmitted bit rate but also maintains a higher view quality than the current more advanced methods.

Originality/value

(1) A new sampling scheme is designed to synthesize high-quality LFIs while better ensuring LF angular domain sparsity. (2) To further eliminate redundancy in the spatial domain, new ranking schemes and hierarchical prediction structures are designed. (3) A synthetic network based on RCAN and a novel loss function is designed to mitigate the perceptual quality loss due to the coding process.

Details

Data Technologies and Applications, vol. 58 no. 4
Type: Research Article
ISSN: 2514-9288

Keywords

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Article
Publication date: 9 November 2023

Xixian Peng, Jiaqi Ren and Yutong Guo

E-commerce live streaming (ELS) has become a new and important shopping channel. Although previous studies have provided insightful findings on how to engage consumers in ELS…

1510

Abstract

Purpose

E-commerce live streaming (ELS) has become a new and important shopping channel. Although previous studies have provided insightful findings on how to engage consumers in ELS, limited effort has been made to explore the role of factors of live streaming rooms. Based on the literature on space perception and the retail environment, this study aims to develop a theoretical model to examine how perceived distance and perceived depth affect consumers' affective and cognitive perceptions and then further impact product attitude in ELS.

Design/methodology/approach

This study collected 414 valid survey responses to test the proposed research model. Survey data were analyzed using partial least squares (PLS)-structural equation modeling. The PLS Multi-Group analysis (PLS-MGA) was used to test the consistency of the research model across different product types and watching durations.

Findings

The results suggest that environmental factors of a live streaming room (i.e. perceived distance and perceived depth) can impact consumers' attitudes toward the product in the live streaming via both cognitive and affective routes. These effects keep consistent across different product types and watching durations.

Originality/value

The paper focuses on the environmental perspective, which is unexplored in previous literature on ELS. It highlights the importance of the space design of live streaming rooms.

Details

Industrial Management & Data Systems, vol. 124 no. 1
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 14 February 2025

Ranran Zhou, Jianzhong Xu, Jiaqi Zhai and Qingwei Kong

This study examines how responsible leadership drives sustainable reconfiguring in multi-tier supply chains, addressing the recognized challenges of implementing sustainable…

2

Abstract

Purpose

This study examines how responsible leadership drives sustainable reconfiguring in multi-tier supply chains, addressing the recognized challenges of implementing sustainable practices in complex, global value chains, particularly in the face of the management challenges posed by the high complexity of multi-tier supply chains.

Design/methodology/approach

Data were collected from 475 Chinese manufacturing firms between December 2023 and June 2024. Structural equation modeling with maximum likelihood estimation was used to assess linear relationships, followed by least-squares linear regression to verify model robustness. Neural network modeling was then applied to explore potential nonlinear relationships among variables.

Findings

The study empirically confirms that responsible leadership was a direct driver of sustainable reconfiguring, and social capital partially mediated the relationship between responsible leadership and sustainable reconfiguring. In addition, it was found that in highly complex supply chains, responsible leadership has a more significant driving effect on sustainable reconfiguring, i.e. supply chain complexity positively moderates the relationship between responsible leadership and sustainable reconfiguring.

Originality/value

This study contributes to the field by uniquely examining responsible leadership as a driver of sustainable supply chain reconfiguration, highlighting its role in resource acquisition through social capital from a resource dependence perspective. Unlike prior studies that treat supply chain complexity primarily as a management obstacle, this research uncovers its role as a “demand driver” in sustainable reconfiguration, offering fresh insights into complexity’s strategic impact. This approach provides a novel framework for understanding the nuanced pathways through which leadership style and situational factors collectively shape sustainable practices in supply chains.

Details

Business Process Management Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-7154

Keywords

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