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Article
Publication date: 8 August 2024

Jiaxuan Li, Xihong Zhang and Mengyang Wang

This paper aims to explore how two dimensions of trust, calculative trust and benevolent trust, affect supplier opportunism, and further investigates how information technology…

135

Abstract

Purpose

This paper aims to explore how two dimensions of trust, calculative trust and benevolent trust, affect supplier opportunism, and further investigates how information technology (IT) infrastructure capability moderates the relationship between calculative trust, benevolent trust and local supplier opportunism.

Design/methodology/approach

This study uses ordinary least square regression to test the hypotheses, using survey data from 164 buyer–supplier relationships.

Findings

The findings suggest that both rational and emotional dimensions of trust, calculative trust and benevolent trust, have negative effect on the opportunistic behavior of suppliers. Furthermore, IT infrastructure capability amplifies the inhibitory effect of calculative trust on supplier’s opportunism, while diminishing the effect of benevolent trust on suppressing supplier’s opportunism.

Originality/value

This study investigates the impacts of both rational and emotional dimensions of trust on opportunistic behavior, thereby enhancing the comprehension of the multifaceted nature of trust in interfirm relationships and contributing valuable insights into interorganizational relationship governance. Moreover, this study reveals the double-edged moderating roles of IT infrastructure capability in supply chain relationships, presenting innovative perspectives within the research on exploring the role of IT capability in business-to-business marketing relationships.

Details

Journal of Business & Industrial Marketing, vol. 39 no. 10
Type: Research Article
ISSN: 0885-8624

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Article
Publication date: 30 July 2024

Mengxi Yang and Mengyang Wang

This study aims to examine the relationship between brand innovativeness, brand attitude and brand equity within the service industry. Despite the prior literature’s…

577

Abstract

Purpose

This study aims to examine the relationship between brand innovativeness, brand attitude and brand equity within the service industry. Despite the prior literature’s acknowledgement of the importance of brand innovativeness, the previous studies on its impact on brand equity have yielded inconsistent results. This study also explores the moderating effect of perceived brand ethicality on the relationship between brand innovativeness, brand attitude and brand equity.

Design/methodology/approach

This study collected the self-administered survey data of 402 respondents in the Chinese retail banking sector and employed a moderated mediation analysis to examine the research hypotheses.

Findings

Brand innovativeness positively influences brand equity, and brand attitude mediates the effect. Perceived brand ethicality strengthens the positive association between brand innovativeness and brand equity.

Originality/value

This study contributes to the extant brand literature by demonstrating how the positive impact of brand innovativeness transcends brand evaluation to impact overall brand equity; it also reveals the mechanism through which brand innovativeness affects brand equity. The findings advance the under-researched issue of whether consumer perceptions of a brand’s ethical conduct affect the efficacy of brand innovativeness in brand equity.

Details

Journal of Product & Brand Management, vol. 33 no. 7
Type: Research Article
ISSN: 1061-0421

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Article
Publication date: 21 November 2022

Qiyuan Zhang, Mengyang Wang and Ziyu Zhao

Asset specificity is a focal feature of buyer–supplier exchanges; however, whether unilateral asset specificity encourages opportunistic value expropriation or promotes…

345

Abstract

Purpose

Asset specificity is a focal feature of buyer–supplier exchanges; however, whether unilateral asset specificity encourages opportunistic value expropriation or promotes trust-based value creation remains controversial. The purpose of this paper is to investigate how institutional forces shape the controversial roles of buyer asset specificity in supply chain relationships.

Design/methodology/approach

With a survey of 217 matched manufacturer–supplier dyads in China, the study adopts ordinary least squares regression analyses to test hypotheses.

Findings

The results show that two key institutional forces, guanxi importance and government intervention, play different roles in shaping the value expropriation and value creation roles of buyer asset specificity. As an informal institutional force, guanxi importance weakens the impact of buyer asset specificity on opportunistic value expropriation and facilitates trust-based value creation. Moreover, as a formal institutional force, government intervention amplifies the effect of buyer asset specificity on opportunism but strengthens its connection with trust.

Originality/value

By incorporating an institutional view to investigate how institutional forces affect this “valuable but vulnerable” dilemma of asset specificity, this study reconciles the controversy concerning value expropriation vs value creation and enriches understanding of the critical roles of institutional parameters in supply chain management.

Details

International Journal of Physical Distribution & Logistics Management, vol. 52 no. 9/10
Type: Research Article
ISSN: 0960-0035

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Article
Publication date: 16 August 2022

Qiyuan Zhang, Mengyang Wang and Ziyu Zhao

In the pursuit of co-exploration, the strength and brokerage dimensions of dyadic ties create a novelty–action trade-off: tie strength facilitates coordination but constraints…

324

Abstract

Purpose

In the pursuit of co-exploration, the strength and brokerage dimensions of dyadic ties create a novelty–action trade-off: tie strength facilitates coordination but constraints novelty, while tie brokerage expands knowledge diversity but aggravates coordination difficulty. This study contributes towards a better understanding of this tension by comparing two dimensions of relational ties and examining their contingent values given different environmental factors and exchange characteristics.

Design/methodology/approach

The authors used survey data from 194 matched buyer–supplier dyads in China's high-tech industries and employed hierarchical moderated regression analysis to test the proposed hypotheses.

Findings

The authors find that compared with tie strength, tie brokerage has a stronger positive effect on co-exploration. Moreover, guanxi importance amplifies the effect of tie strength while decreasing the value of tie brokerage. As market uncertainty increases, the role of tie brokerage becomes more salient. Additionally, tie strength becomes less effective when buyer centralization is high, whereas tie brokerage exerts a stronger impact on co-exploration when an exchange is highly formalized.

Originality/value

This study contributes to the supply chain literature by adopting a relational perspective to integrate relational ties into the study of buyer–supplier co-exploration and by elaborating on the different implications of tie strength and tie brokerage in resolving the novelty–action trade-off. Furthermore, it provides a more nuanced understanding of when distinct dimensions of relational ties are effective, by clarifying boundary conditions in terms of environmental factors and exchange characteristics.

Details

The International Journal of Logistics Management, vol. 34 no. 5
Type: Research Article
ISSN: 0957-4093

Keywords

Available. Open Access. Open Access
Article
Publication date: 20 July 2020

Lijuan Shi, Zuoning Jia, Huize Sun, Mingshu Tian and Liquan Chen

This paper aims to study the affecting factors on bird nesting on electronic railway catenary lines and the impact of bird nesting events on railway operation.

3351

Abstract

Purpose

This paper aims to study the affecting factors on bird nesting on electronic railway catenary lines and the impact of bird nesting events on railway operation.

Design/methodology/approach

First, with one year’s bird nest events in the form of unstructured natural language collected from Shanghai Railway Bureau, the records were structured with the help of python software tool. Second, the method of root cause analysis (RCA) was used to identify all the possible influencing factors which are inclined to affect the probability of bird nesting. Third, the possible factors then were classified into two categories to meet subsequent analysis separately, category one was outside factors (i.e. geographic conditions related factors), the other was inside factors (i.e. railway related factors).

Findings

It was observed that factors of city population, geographic position affect nesting observably. Then it was demonstrated that both location and nesting on equipment part have no correlation with delay, while railway type had a significant but low correlation with delay.

Originality/value

This paper discloses the principle of impacts of nest events on railway operation.

Details

Smart and Resilient Transportation, vol. 2 no. 1
Type: Research Article
ISSN: 2632-0487

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Article
Publication date: 16 February 2024

Mengyang Gao, Jun Wang and Ou Liu

Given the critical role of user-generated content (UGC) in e-commerce, exploring various aspects of UGC can aid in understanding user purchase intention and commodity…

473

Abstract

Purpose

Given the critical role of user-generated content (UGC) in e-commerce, exploring various aspects of UGC can aid in understanding user purchase intention and commodity recommendation. Therefore, this study investigates the impact of UGC on purchase decisions and proposes new recommendation models based on sentiment analysis, which are verified in Douban, one of the most popular UGC websites in China.

Design/methodology/approach

After verifying the relationship between various factors and product sales, this study proposes two models, collaborative filtering recommendation model based on sentiment (SCF) and hidden factors topics recommendation model based on sentiment (SHFT), by combining traditional collaborative filtering model (CF) and hidden factors topics model (HFT) with sentiment analysis.

Findings

The results indicate that sentiment significantly influences purchase intention. Furthermore, the proposed sentiment-based recommendation models outperform traditional CF and HFT in terms of mean absolute error (MAE) and root mean square error (RMSE). Moreover, the two models yield different outcomes for various product categories, providing actionable insights for organizers to implement more precise recommendation strategies.

Practical implications

The findings of this study advocate the incorporation of UGC sentimental factors into websites to heighten recommendation accuracy. Additionally, different recommendation strategies can be employed for different products types.

Originality/value

This study introduces a novel perspective to the recommendation algorithm field. It not only validates the impact of UGC sentiment on purchase intention but also evaluates the proposed models with real-world data. The study provides valuable insights for managerial decision-making aimed at enhancing recommendation systems.

Details

Industrial Management & Data Systems, vol. 124 no. 4
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 17 October 2022

Fengwei Jing, Mengyang Zhang, Jie Li, Guozheng Xu and Jing Wang

Coil shape quality is the external representation of strip product quality, and it is also a direct reflection of strip production process level. This paper aims to predict the…

162

Abstract

Purpose

Coil shape quality is the external representation of strip product quality, and it is also a direct reflection of strip production process level. This paper aims to predict the coil shape results in advance based on the real-time data through the designed algorithm.

Design/methodology/approach

Aiming at the strip production scale and coil shape application requirements, this paper proposes a strip coil shape defects prediction algorithm based on Siamese semi-supervised denoising auto-encoder (DAE)-convolutional neural networks. The prediction algorithm first reconstructs the information eigenvectors using DAE, then combines the convolutional neural networks and skip connection to further process the eigenvectors and finally compares the eigenvectors with the full connect neural network and predicts the strip coil shape condition.

Findings

The performance of the model is further verified by using the coil shape data of a steel mill, and the results show that the overall prediction accuracy, recall rate and F-measure of the model are significantly better than other commonly used classification models, with each index exceeding 88%. In addition, the prediction results of the model for different steel grades strip coil shape are also very stable, and the model has strong generalization ability.

Originality/value

This research provides technical support for the adjustment and optimization of strip coil shape process based on the data-driven level, which helps to improve the production quality and intelligence level of hot strip continuous rolling.

Details

Assembly Automation, vol. 42 no. 6
Type: Research Article
ISSN: 0144-5154

Keywords

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Article
Publication date: 16 August 2022

Ming Jiang, Mengyang Shi, Jiamao Li, Juan Liu, Lei Zhang, Jian Qin, Yongtao Jiu, Bin Tang and Dong Xu

This paper aims to study the effects of MnO2 on the ZnO–Bi2O3-based varistor prepared via flash sintering (FS)

146

Abstract

Purpose

This paper aims to study the effects of MnO2 on the ZnO–Bi2O3-based varistor prepared via flash sintering (FS)

Design/methodology/approach

MnO2-doped ZnO–Bi2O3-based varistors were successfully prepared by the FS with a step-wise increase of the .current in 60 s at the furnace temperature <750°C under the direct current electric field of 300 V cm−1. The FS process, microstructure and the electrical performance of ZnO–Bi2O3-based varistors were systematically investigated.

Findings

The doping of MnO2 significantly decreased the onset temperature of FS and improved the electrical performance of FS ZnO varistor ceramic. The sample with 0.5 mol% MnO2 doping shows the highest improvement, with the nonlinear coefficient of 18, the leakage current of 16.82 µA, the threshold voltage of 459 V/mm and the dielectric constant of 1,221 at 1 kHz.

Originality/value

FS is a wonderful technology to enhance ZnO varistors for its low energy consumption, and a short sintering time can reduce grain growth and inhabit Bi2O3 volatilize, yet few research studies work on that. In this research, the authors analyzed the FS process and improved the electrical characteristics through MnO2 doping.

Details

Microelectronics International, vol. 39 no. 4
Type: Research Article
ISSN: 1356-5362

Keywords

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Article
Publication date: 11 December 2019

Mengyang Zhang and Sarah Gibney

The purpose of this paper is to explore the association between experiencing ageism in the workplace and working conditions on perceived job sustainability among current workers…

796

Abstract

Purpose

The purpose of this paper is to explore the association between experiencing ageism in the workplace and working conditions on perceived job sustainability among current workers aged 40 and over in Europe, within the context of positive and active ageing strategies and programmes.

Design/methodology/approach

Data are from the 6th round of the European Working Conditions Survey (n=22,229), and the analytical sample contains adults aged 40 and older in 28 European Member States grouped by employment regime: social-democratic regime, corporatist regime, liberal regime, Southern European regime, post-socialist corporatist regime and post-socialist liberal regime. Perceived job sustainability estimated based on whether the respondent thinks (yes/no) that they can do their current job or similar role until the age of 60 or in next five years if the respondent is aged 56 and over. Experience of ageism in the workplace (yes/no) is self-reported. Generalised structural equation modelling was used to control for both individual- and organisational-level influences and to correct for potential endogeneity in estimating the impact of experienced ageism on perceived job sustainability. In addition, employment regimes are included in the model to investigate differences in this relationship by setting.

Findings

Adults who have not experienced ageism are more likely to have positive perceptions of job sustainability, net of other factors and employment regime. Job sustainability is positively associated with age, being male, being in good health status and higher levels of work satisfaction.

Research limitations/implications

The main limitation of this study is that data are cross-sectional, and time variant factors and individual fixed characteristics are excluded from the estimation. The results are influenced by the self-reported data about experienced ageism and evaluation of workplace environment, which may lead to potential endogeneity caused by unobservable personal characteristics such as personality type.

Originality/value

Although the average reported prevalence of ageism in the workplace is 3.4 per cent across the 28 European Union Member States, this study shows that ageism imposes significant negative influence on current workers. This study has highlighted the interrelationship between ageism, workplace satisfaction and job sustainability in this comparative setting. Efforts to reduce ageism in the workplace are likely to lead to improved working conditions and job sustainability.

Details

International Journal of Manpower, vol. 41 no. 5
Type: Research Article
ISSN: 0143-7720

Keywords

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Article
Publication date: 27 December 2022

Yesen Zhu, Zhe Liu, Zhenbo Qin, Mengyang Hou, Taoyong Hu and Quan Yuan

The purpose of this paper is to study the cavitation erosion stages of AA5083 by electrochemical noise (EN).

151

Abstract

Purpose

The purpose of this paper is to study the cavitation erosion stages of AA5083 by electrochemical noise (EN).

Design/methodology/approach

EN technology including noise resistance and fast Fourier transform were used to characterize the electrochemical process during the cavitation erosion process.

Findings

AA5083 suffers from uniform corrosion during the cavitation erosion process. The whole cavitation erosion process can be divided into three stages: incubation stage, acceleration stage and steady-state stage. EN signals showed obvious differences in different stages of cavitation erosion.

Originality/value

EN technique is a suitable method that can be used to study cavitation erosion mechanism and identify cavitation erosion stages.

Details

Anti-Corrosion Methods and Materials, vol. 70 no. 2
Type: Research Article
ISSN: 0003-5599

Keywords

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