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Article
Publication date: 22 August 2023

Yiru Zha and Jiawei Jin

This study aims to investigate how environmentalism in photovoltaic (PV) substitution and nationalism in PV rivalry with the USA are associated with the trade-offs made by young…

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Abstract

Purpose

This study aims to investigate how environmentalism in photovoltaic (PV) substitution and nationalism in PV rivalry with the USA are associated with the trade-offs made by young consumers in Lanzhou when selecting Chinese brand portable solar power banks.

Design/methodology/approach

In this study, the choice-based conjoint survey was conducted to investigate mobile power bank consumers aged 18–28 in Lanzhou urban districts. A total of 2,004 valid questionnaires were collected and 1,813 sample was used in analyses. Logit and ordinary least squares regression models were run for empirical analyses.

Findings

The research results show that consumers tend to sacrifice certain levels of affordability for moderate technological capability, a reputable brand, better portability and advanced charging functions or sacrifice certain levels of technological capabilities for a moderate price. Consumers with stronger environmentalism in PV substitution tend to prioritize median price levels, larger battery capacity and better portability, while being less sensitive to brand and showing less preference for advanced charging functions. Consumers with stronger nationalism in PV rivalry tend to prioritize reasonably higher prices, bigger brands, enhanced portability, more solar panels and advanced charging functions.

Practical implications

This research sheds light on consumer trade-offs between price, brand, portability, technological capability and charging function. It also explores how environmentalism and nationalism sentiments are associated with consumer decision-making. These insights carry valuable policy implications for fostering product innovation, supporting brand-building initiatives for small and medium-size enterprises, promoting market competition and preventing the weaponization of consumer nationalism.

Originality/value

As an emerging solar power product, the portable solar power bank holds significant potential for widespread adoption as a means to drive energy transition. Within the current context, two notable sentiments have surfaced: environmentalism, which pertains to the adoption of PV technology as a substitute for conventional energy sources and nationalism, which manifests in the PV rivalry between China and the USA. This research aims to investigate consumer preference related to this emerging product, specifically focusing on its relationship with these two sentiments.

Details

International Journal of Energy Sector Management, vol. 18 no. 4
Type: Research Article
ISSN: 1750-6220

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Article
Publication date: 3 November 2020

Md Rajibul Hasan, Assem Abdunurova, Wenwen Wang, Jiawei Zheng and S.M. Riad Shams

The purpose of this study is to gather insights into digital consumer behaviour related to Chinese restaurents by examining visual contents on Tripadvisor platform.

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Abstract

Purpose

The purpose of this study is to gather insights into digital consumer behaviour related to Chinese restaurents by examining visual contents on Tripadvisor platform.

Design/methodology/approach

Using the deep learning approach, this research assessed consumer-posted online content of dining experiences by implementing image analysis and clustering. Text mining using word cloud analysis revealed the most frequently repeated keywords.

Findings

First, 4,000 photos of nine Chinese restaurants posted on Tripadvisor’s website were analyzed using image recognition via Inception V3 and Google’s deep learning network; this revealed 12 hierarchical image clusters. Then, an open-questionnaire survey of 125 Chinese respondents investigated consumers’ information needs before visiting a restaurant and after purchasing behavior (motives to share).

Practical implications

This study contributes to culinary marketing development by introducing a new analysis methodology and demonstrating its application by exploring a wide range of keywords and visual images published on the internet.

Originality/value

This research extends and contributes to the literature regarding visual user-generated content in culinary tourism.

Details

Journal of Place Management and Development, vol. 14 no. 1
Type: Research Article
ISSN: 1753-8335

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Article
Publication date: 5 February 2021

Jiehua Lu and Jiawei Nie

Labor participation has always been a hot topic in academic circle and a vital label in the process of China's economic and social development. Therefore, the purpose this paper…

262

Abstract

Purpose

Labor participation has always been a hot topic in academic circle and a vital label in the process of China's economic and social development. Therefore, the purpose this paper is to use CGSS 2015 data, starting from labor participation, and make a comparably comprehensive analysis of the influencing factors of subjective well-being of females.

Design/methodology/approach

By conducting probit regressions, the paper reveals the impact of labor participation and socio-demographic conditions on the subjective well-being of females in Mainland China.

Findings

First, the authors’ findings turn out that urban women do have a higher level of women's subjective well-being when compared to rural women. Second, educational attainment has a significantly positive effect on subjective well-being only in urban areas, while having teen children is only statistically significant for rural residents. Third, the overall impact of employment conditions on women's subjective well-being is reduced due to the transition of gender conceptions. In all, the evaluation of subjective well-being of females is reshaped by the overwhelming transition of society in Mainland China.

Research limitations/implications

There remain some limitations of this study. First, because CGSS 2015 data are the only data analyzed here, it is hard and inaccurate to compare the differences between this result and previous outcomes conducted by other scholars using CGSS 2005, 2010 and 2013 data. Second, the categories of employment conditions are not detailed, and thus it adds burden to further analysis. For future studies, a wider range of data should be taken into account and provide data support to have a convincing comparison at different times. The social background of diverse employment conditions could be discussed in-depth as well.

Originality/value

Based on the early literature, this paper is intended to use Chinese data to study the major factors affecting Chinese female labor participation in Mainland China and also discuss the implications in practice.

Details

Asian Education and Development Studies, vol. 11 no. 3
Type: Research Article
ISSN: 2046-3162

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Article
Publication date: 22 August 2024

Jiawei Liu, Zi Xiong, Yi Jiang, Yongqiang Ma, Wei Lu, Yong Huang and Qikai Cheng

Fine-tuning pre-trained language models (PLMs), e.g. SciBERT, generally require large numbers of annotated data to achieve state-of-the-art performance on a range of NLP tasks in…

77

Abstract

Purpose

Fine-tuning pre-trained language models (PLMs), e.g. SciBERT, generally require large numbers of annotated data to achieve state-of-the-art performance on a range of NLP tasks in the scientific domain. However, obtaining fine-tuning data for scientific NLP tasks is still challenging and expensive. In this paper, the authors propose the mix prompt tuning (MPT), which is a semi-supervised method aiming to alleviate the dependence on annotated data and improve the performance of multi-granularity academic function recognition tasks.

Design/methodology/approach

Specifically, the proposed method provides multi-perspective representations by combining manually designed prompt templates with automatically learned continuous prompt templates to help the given academic function recognition task take full advantage of knowledge in PLMs. Based on these prompt templates and the fine-tuned PLM, a large number of pseudo labels are assigned to the unlabelled examples. Finally, the authors further fine-tune the PLM using the pseudo training set. The authors evaluate the method on three academic function recognition tasks of different granularity including the citation function, the abstract sentence function and the keyword function, with data sets from the computer science domain and the biomedical domain.

Findings

Extensive experiments demonstrate the effectiveness of the method and statistically significant improvements against strong baselines. In particular, it achieves an average increase of 5% in Macro-F1 score compared with fine-tuning, and 6% in Macro-F1 score compared with other semi-supervised methods under low-resource settings.

Originality/value

In addition, MPT is a general method that can be easily applied to other low-resource scientific classification tasks.

Details

The Electronic Library , vol. 42 no. 6
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 27 August 2021

Jinchan Liu, Yubo Guo, Igor Martek, Chuan Chen and Jiawei Tian

This study develops a phase-oriented evaluation mechanism based on the public–private partnership (PPP) project process and provides a preliminary framework for the promotion of…

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Abstract

Purpose

This study develops a phase-oriented evaluation mechanism based on the public–private partnership (PPP) project process and provides a preliminary framework for the promotion of the phase-oriented evaluation of PPPs in China.

Design/methodology/approach

Through a literature review and survey interviews the success criteria for the implementation process of PPPs are documented. Process success criteria findings are used to populate the content of the phase-oriented evaluation. The result is then tested, revised and improved through follow-up expert interviews.

Findings

This paper identifies PPP project process success criteria. Using these criteria, a phase-oriented evaluation framework is developed. Moreover, in consultation with industry experts in the PPP field, eight evaluation aspects were determined: confirmation of project compliance and performance, confirmation of value for money, confirmation of financial affordability, trend analysis of annual performance appraisal, risk review and early warning, rebankability analysis, project externality analysis, benchmarking analysis of similar projects. These eight application aspects are analyzed in the light of the outcomes of the resulting phase-oriented evaluation framework.

Research limitations/implications

The results of the research can only provide researchers and practitioners with generic insights regarding inputs into a phase-oriented evaluation of PPP projects. For any specific PPP project, the focus and priority of the evaluative content will vary.

Practical implications

A phase-oriented evaluation of PPP projects is put forward. This will allow project stakeholders to better track the progress of projects throughout what can be a lengthy implementation stage.

Originality/value

This study can provide governments and stakeholders with a new, theoretical understanding as to factors required of an effective phased evaluation of China's PPP projects. In that regard it will be significant value in PPP project policy and decision-making.

Details

Engineering, Construction and Architectural Management, vol. 29 no. 9
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 13 August 2018

Jinliang Liu, Yanmin Jia, Guanhua Zhang and Jiawei Wang

During service period, due to the overload or other non-load factors, diagonal cracks of the pre-stressed concrete beam are seriously affecting the safety of the bridge structure…

113

Abstract

Purpose

During service period, due to the overload or other non-load factors, diagonal cracks of the pre-stressed concrete beam are seriously affecting the safety of the bridge structure. The purpose of this paper is to quickly realize the shear bearing capacity and shear stiffness through maximum width of the diagonal cracks and make correct judgments.

Design/methodology/approach

Through the shear failure test of four test beams, collecting data of diagonal cracks and shear stiffness loss value. According to the deformation curve of the shear stiffness, and combined with the calculation formula of the maximum width of diagonal cracks, the formula for calculating the effective shear stiffness based on the maximum width of diagonal cracks is deduced, then the results are verified by test data. Data regression method is used to establish the effective shear stiffness loss ratio calculation formula, the maximum width of diagonal cracks used as a variable factor, and the accuracy of this formula is verified by comparing the shear failure test results of pre-stressed hollow plates.

Findings

With the increase in width of the diagonal crack, the loss rate of shear stiffness of the concrete beams is initially fast and then becomes slow. The calculation formulae for shear stiffness based on the maximum width of the diagonal cracks were deduced, and the feasibility and accuracy of the formulae were verified by analysis and calculation of shear test data.

Originality/value

A method for quickly determine the shear stiffness loss of structures by using maximum width of the diagonal cracks is established, and using this method, engineers can quickly determine effective shear stiffness loss ratio, without complex calculations. So this method not only ensures the safety of human life, but also saves money.

Details

International Journal of Structural Integrity, vol. 9 no. 4
Type: Research Article
ISSN: 1757-9864

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Article
Publication date: 6 June 2023

Ligang Lu, Pengfei Li, Dongbo Wu, Jiawei Liang, Hui Wang and Pengpeng He

The purpose of this study is to establish an assembly accuracy analysis model of deployable arms based on Jacobian–Torsor theory to improve the assembly accuracy. Spacecraft…

87

Abstract

Purpose

The purpose of this study is to establish an assembly accuracy analysis model of deployable arms based on Jacobian–Torsor theory to improve the assembly accuracy. Spacecraft deployable arm is one of the core components of spacecraft. Reducing the errors in assembly process is the main method to improve the assembly accuracy of spacecraft deployable arms.

Design/methodology/approach

First, the influence of composite connecting rod, root joint and arm joint on assembly accuracy in the tandem assembly process is analyzed to propose the assembly accuracy analysis model. Second, a non-tandem assembly process of “two joints fixed-composite rod installed-flange gasket compensated” is proposed and analyzed to improve the assembly accuracy of deployable arms. Finally, the feasibility of non-tandem assembly process strategy is verified by assembly experiment.

Findings

The experiential results show that the assembly errors are reduced compared with the tandem assembly process. The errors on axes x, y and z directions decreased from 14.1009 mm, 14.2424 mm and 0.8414 mm to 0.922 mm, 0.671 mm and 0.2393 mm, respectively. The errors round axes x and y directions also decreased from 0.0050° and 0.0053° to 0.00292° and 0.00251°, respectively.

Originality/value

This paper presents an assembly accuracy analysis model of deployable arms and applies the model to calculate assembly errors in tandem assembly process. In addition, a non-tandem assembly process is proposed based on the model. The experimental results show that the non-tandem assembly process can improve the assembly accuracy of deployable arms.

Details

Robotic Intelligence and Automation, vol. 43 no. 3
Type: Research Article
ISSN: 2754-6969

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Article
Publication date: 2 December 2021

Jiawei Lian, Junhong He, Yun Niu and Tianze Wang

The current popular image processing technologies based on convolutional neural network have the characteristics of large computation, high storage cost and low accuracy for tiny…

431

Abstract

Purpose

The current popular image processing technologies based on convolutional neural network have the characteristics of large computation, high storage cost and low accuracy for tiny defect detection, which is contrary to the high real-time and accuracy, limited computing resources and storage required by industrial applications. Therefore, an improved YOLOv4 named as YOLOv4-Defect is proposed aim to solve the above problems.

Design/methodology/approach

On the one hand, this study performs multi-dimensional compression processing on the feature extraction network of YOLOv4 to simplify the model and improve the feature extraction ability of the model through knowledge distillation. On the other hand, a prediction scale with more detailed receptive field is added to optimize the model structure, which can improve the detection performance for tiny defects.

Findings

The effectiveness of the method is verified by public data sets NEU-CLS and DAGM 2007, and the steel ingot data set collected in the actual industrial field. The experimental results demonstrated that the proposed YOLOv4-Defect method can greatly improve the recognition efficiency and accuracy and reduce the size and computation consumption of the model.

Originality/value

This paper proposed an improved YOLOv4 named as YOLOv4-Defect for the detection of surface defect, which is conducive to application in various industrial scenarios with limited storage and computing resources, and meets the requirements of high real-time and precision.

Details

Assembly Automation, vol. 42 no. 1
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 31 January 2024

Tan Zhang, Zhanying Huang, Ming Lu, Jiawei Gu and Yanxue Wang

Rotating machinery is a crucial component of large equipment, and detecting faults in it accurately is critical for reliable operation. Although fault diagnosis methods based on…

129

Abstract

Purpose

Rotating machinery is a crucial component of large equipment, and detecting faults in it accurately is critical for reliable operation. Although fault diagnosis methods based on deep learning have been significantly developed, the existing methods model spatial and temporal features separately and then weigh them, resulting in the decoupling of spatiotemporal features.

Design/methodology/approach

The authors propose a spatiotemporal long short-term memory (ST-LSTM) method for fault diagnosis of rotating machinery. The authors collected vibration signals from real rolling bearing and gearing test rigs for verification.

Findings

Through these two experiments, the authors demonstrate that machine learning methods still have advantages on small-scale data sets, but our proposed method exhibits a significant advantage due to the simultaneous modeling of the time domain and space domain. These results indicate the potential of the interactive spatiotemporal modeling method for fault diagnosis of rotating machinery.

Originality/value

The authors propose a ST-LSTM method for fault diagnosis of rotating machinery. The authors collected vibration signals from real rolling bearing and gearing test rigs for verification.

Details

Industrial Lubrication and Tribology, vol. 76 no. 2
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 25 August 2023

Liang Xiao, Jiawei Wang and Xinyu Wei

Value co-creation (VCC) helps platforms establish competitive advantages. Unlike their traditional counterparts, social attribute is a key concept of social e-commerce platforms…

542

Abstract

Purpose

Value co-creation (VCC) helps platforms establish competitive advantages. Unlike their traditional counterparts, social attribute is a key concept of social e-commerce platforms. This study integrates VCC and social network theories, introduces relational embeddedness and divides this variable into economic and social relational embeddedness to explore its impact on VCC intention. This study also explores the mediating and moderating roles of customers' psychological ownership (CPO) and regulatory focus, respectively.

Design/methodology/approach

A questionnaire survey was conducted among users of mainstream social e-commerce platforms in China, and the relationship among the variables was revealed through a structural equation modeling of 464 valid responses.

Findings

The dimensions of relational embeddedness positively affect CPO and VCC intention, with social relational embeddedness exerting the strongest effect. CPO positively affects VCC intention and partially mediates the relationship between relational embeddedness and VCC intention. Promotion and prevention focus positively and negatively moderate the relationship between CPO and VCC intention, respectively.

Originality/value

This study expands the VCC research perspective and links the VCC concepts to social network dynamics. From the relational embeddedness perspective, this study identifies the type and intensity of relational embeddedness that promotes users' VCC intention and contributes to theoretical research on VCC and relational embeddedness. This study also introduces CPO as an intermediary variable, thus opening the black box of this mechanism, and confirms the moderating role of regulatory focus as the key psychological factor motivating users' VCC intention.

Details

Journal of Research in Interactive Marketing, vol. 18 no. 3
Type: Research Article
ISSN: 2040-7122

Keywords

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