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Article
Publication date: 19 April 2022

Yajun Wang, Xinyu Meng, Chang Xu and Meng Zhao

This paper aims to analyze high-quality papers on the research of electronic word-of-mouth (eWOM) for product and service quality improvement from 2009 to 2022, in order to fully…

652

Abstract

Purpose

This paper aims to analyze high-quality papers on the research of electronic word-of-mouth (eWOM) for product and service quality improvement from 2009 to 2022, in order to fully understand their historical progress, current situation and future development trend.

Design/Methodology/Approach

This paper adopts the bibliometrics method to analyze the relevant literature, including publishing trend and citation status, regional and discipline area distribution, and influential publications. Secondly, the VOSviewer is used for literature co-citation analysis and keyword co-occurrence analysis to obtain the basic literature and research hotspots in this research field.

Findings

Firstly, the study finds that the number of publications basically shows an increasing trend, and those publications are mainly published in tourism journals. In addition, among these papers, China has the largest number of publications, followed by the USA and South Korea. Through co-citation analysis of literature and keyword co-occurrence analysis, 22 foundational papers and six main research topics are obtained in this paper. Finally, this paper elaborates on the development trend of the research topic and future research directions in detail.

Originality/value

This is the first paper that uses bibliometrics to analyze and review relevant researches on eWOM for product and service quality improvement, which is helpful for researchers to quickly understand its development status and trend. This review also provides some future research directions and provides a reference for further research.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 16 no. 1
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 7 June 2021

Xinyu Guo, Yan Meng and Jie Xiong

Brand alliance strategy is a popular strategy for multinational enterprises entering foreign markets, especially when domestic firms in the host market have a relatively weaker…

752

Abstract

Purpose

Brand alliance strategy is a popular strategy for multinational enterprises entering foreign markets, especially when domestic firms in the host market have a relatively weaker brand image. However, Volvo Construction Equipment's failure to acquire a domestic firm in China (Shandong Lingong Construction Machinery Company Limited [SDLG]) challenges existing management theory. Thus, the purpose of this study is to understand the reasons behind the failure of a leading international brand’s acquisition of a local brand in a fast-growing developing country.

Design/methodology/approach

This paper conducted a case study to illustrate how Volvo failed to benefit from the dual-brand strategy by analyzing its brand architecture strategy, the industry specificity of its heavy equipment, issues around its complex dealership and the implementation of optimal distinctiveness for the Volvo brand after acquiring SDLG.

Findings

Although Volvo’s dual-brand strategy with SDLG was theoretically valid, in practice, the strategy made the two brands very distinct in their business-to-business (B2B) consumers’ perception and dealers’ operation. Given a wrong estimation of Chinese demand in its premium market, Volvo, which targeted only the Chinese premium market, failed to benefit from its brand alliance with SDLG in the Chinese market.

Originality/value

The analysis of Volvo’s acquisition of SDLG enriches the current theory of international business and brand management. In particular, the results provide new insights into how leading international brands can avoid potential failure in a fast-growing market. Moreover, this paper highlights the difference of branding strategy in the B2B and business-to-consumer markets, which carries value to business executives.

Details

Journal of Business Strategy, vol. 43 no. 4
Type: Research Article
ISSN: 0275-6668

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Article
Publication date: 26 February 2021

Lijun Meng, Xinyu Li and Xin Tan

A fiber Bragg grating (FBG) sensor was designed to measure the door gap of automobile bodies.

80

Abstract

Purpose

A fiber Bragg grating (FBG) sensor was designed to measure the door gap of automobile bodies.

Design/methodology/approach

The gap sensor was designed through a combination of the sliding wedge and cantilever beam, involving a magnetic force installation and arc structure of the force transmission point. Moreover, the sliding block adopted an anti-magnetic and wear-resistant material and the temperature compensation of the two FBGs was conducted. The magnetic force and contact stress of the sensor were examined to ensure that the sensor exhibited a certain magnetic attraction force and fatigue life. The performance of the gap sensor was examined experimentally.

Findings

The sensor could measure gaps with dimensions of 5 mm to 11 mm, with a sensitivity and measurement accuracy of 150.9 pm/mm and 0.0063% F.S., respectively. Moreover, the sensor exhibited a small gap sensitivity, with a repeatability error of 0.15%, anti-creep properties and magnetic interference abilities.

Originality/value

The sensor is compact and easy to install, as well as use for multiple sensor locations, with a maximum size of 43 mm, a mass of 26 g and installation type of magnetic suction. It can be used for high-precision static and dynamic measurements of the door inner clearance with a resolution of 0.013 mm to improve the efficiency of internal clearance on-line analysis and assembly quality inspection.

Details

Sensor Review, vol. 41 no. 2
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 12 December 2023

Jian Zhou, Shuyu Liu, Jian Lu and Xinyu Liu

The purpose of this paper is to introduce an improved system identification method for small unmanned helicopters combining adaptive ant colony optimization algorithm and Levy’s…

70

Abstract

Purpose

The purpose of this paper is to introduce an improved system identification method for small unmanned helicopters combining adaptive ant colony optimization algorithm and Levy’s method and to solve the problem of low model prediction accuracy caused by low-frequency domain curve fitting in the small unmanned helicopter frequency domain parameter identification method.

Design/methodology/approach

This method uses the Levy method to obtain the initial parameters of the fitting model, uses the global optimization characteristics of the adaptive ant colony algorithm and the advantages of avoiding the “premature” phenomenon to optimize the initial parameters and finally obtains a small unmanned helicopter through computational optimization Kinetic models under lateral channel and longitudinal channel.

Findings

The algorithm is verified by flight test data. The verification results show that the established dynamic model has high identification accuracy and can accurately reflect the dynamic characteristics of small unmanned helicopter flight.

Originality/value

This paper presents a novel and improved frequency domain identification method for small unmanned helicopters. Compared with the conventional method, this method improves the identification accuracy and reduces the identification error.

Details

Aircraft Engineering and Aerospace Technology, vol. 96 no. 1
Type: Research Article
ISSN: 1748-8842

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Article
Publication date: 18 October 2024

Xinyu Mei, Feng Xu, Zhipeng Zhang and Yu Tao

Workers' unsafe behavior is the main cause of construction safety accidents, thereby highlighting the critical importance of behavior-based management. To compensate for the…

165

Abstract

Purpose

Workers' unsafe behavior is the main cause of construction safety accidents, thereby highlighting the critical importance of behavior-based management. To compensate for the limitations of computer vision in tackling knowledge-intensive issues, semantic-based methods have gained increasing attention in the field of construction safety management. Knowledge graph provides an efficient and visualized method for the identification of various unsafe behaviors.

Design/methodology/approach

This study proposes an unsafe behavior identification framework by integrating computer vision and knowledge graph–based reasoning. An enhanced ontology model anchors our framework, with image features from YOLOv5, COCO Panoptic Segmentation and DeepSORT integrated into the graph database, culminating in a structured knowledge graph. An inference module is also developed, enabling automated the extraction of unsafe behavior knowledge through rule-based reasoning.

Findings

A case application is implemented to demonstrate the feasibility and effectiveness of the proposed method. Results show that the method can identify various unsafe behaviors from images of construction sites and provide mitigation recommendations for safety managers by automated reasoning, thus supporting on-site safety management and safety education.

Originality/value

Existing studies focus on spatial relationships, often neglecting the diversified spatiotemporal information in images. Besides, previous research in construction safety only partially automated knowledge graph construction and reasoning processes. In contrast, this study constructs an enhanced knowledge graph integrating static and dynamic data, coupled with an inference module for fully automated knowledge-based unsafe behavior identification. It can help managers grasp the workers’ behavior dynamics and timely implement measures to correct violations.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 13 November 2023

Xiaodi Xu, Shanchao Sun, Yang Fei, Liubin Niu, Xinyu Tian, Zaitian Ke, Peng Dai and Zhiming Liang

This article aims to predict the rapid track geometry change in the short term with a higher detection frequency, and realize the monitoring and maintenance of the railway state.

76

Abstract

Purpose

This article aims to predict the rapid track geometry change in the short term with a higher detection frequency, and realize the monitoring and maintenance of the railway state.

Design/methodology/approach

Firstly, the ABA data needs to be filtered to remove the DC component to reduce the drift due to integration. Secondly, the quadratic integration in frequency domain for concern components of the vertical and lateral ABA needs to be done. Thirdly, the displacement in lateral of the wheelset to rail needs to be calculated. Then the track alignment irregularity needs to be calculated by the integration of lateral ABA and the lateral displacement of the wheelset to rail.

Findings

By comparing with a commercial track geometry measurement system, the high-speed railway application results in different conditions, after removal of the influence of LDWR, identified that the proposed method can produce a satisfactory result.

Originality/value

This article helps realize detection of track irregularity on operating vehicle, reduce equipment production, installation and maintenance costs and improve detection density.

Details

Engineering Computations, vol. 40 no. 9/10
Type: Research Article
ISSN: 0264-4401

Keywords

Available. Open Access. Open Access
Article
Publication date: 3 November 2023

Yupeng Shi, Xinyu Wang and Siyu Zhang

The purpose of this study is to discover the uniqueness of China's online livestreaming industry and to make preliminary predictions about its future.

2250

Abstract

Purpose

The purpose of this study is to discover the uniqueness of China's online livestreaming industry and to make preliminary predictions about its future.

Design/methodology/approach

Providing a panoramic description of China's online livestreaming industry and a comparative analysis with other countries' online livestreaming industries.

Findings

China's online livestreaming industry is world leader in general. In terms of user size and age structure, although China has a high proportion of online livestreaming users, the proportion of anchors is not high, while the age structure of users in both China and other countries shows the characteristics of younger users. In terms of policy, the difference between China and foreign support in online livestreaming is small, but developed countries have stricter regulations.

Originality/value

The research in this paper has great significance in gaining an in-depth understanding of the development status and trends of China's online livestreaming industry and in designing accurate support policies.

Details

Journal of Internet and Digital Economics, vol. 3 no. 3
Type: Research Article
ISSN: 2752-6356

Keywords

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Article
Publication date: 11 March 2024

Xiu-e Zhang, Liu Yang, Xinyu Teng and Yijing Li

Based on the attention-based view (ABV), this study examines the mechanism of external pressure and internal managerial interpretation affecting the promotion of green…

400

Abstract

Purpose

Based on the attention-based view (ABV), this study examines the mechanism of external pressure and internal managerial interpretation affecting the promotion of green entrepreneurial orientation (GEO) of agricultural enterprises.

Design/methodology/approach

Based on data collected from 208 agricultural enterprises in China, the conceptual model was tested by using hierarchical regression.

Findings

The results show that managerial interpretation can affect the promotion of GEO. Command and control regulation, market-based regulation and green market pressure are important external pressures that affect the promotion of GEO. In addition, managerial interpretation mediates the relationship between command and control regulation and GEO, market-based regulation and GEO, as well as green market pressure and GEO.

Practical implications

This study proposes a key path for promoting the adoption and implementation of GEO by agricultural enterprises. The research results provide experience for emerging and developing countries to promote the GEO of agricultural enterprises, which is helpful to alleviate the environmental problems caused by the development of agricultural enterprises.

Originality/value

For the first time, this study introduced the ABV into the research of GEO. The research results enrich the theoretical perspective of GEO and expand the research field of the ABV. In addition, this study fills the research gap that existing research has not paid enough attention to the internal driving factors of GEO and opens the black box between the external pressure and GEO.

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Article
Publication date: 28 June 2024

Xinyu Nie, Liangyan Wang and Eugene Y. Chan

This study examines how the visual cues (i.e. positioning in cobranding advertising) influence the luxury evaluation.

470

Abstract

Purpose

This study examines how the visual cues (i.e. positioning in cobranding advertising) influence the luxury evaluation.

Design/methodology/approach

Through four experiments in different contexts, this study investigates the effects of the positioning of two brands in cobranding on luxury evaluation, the moderating role of product category and the mediating role of benefit understanding.

Findings

This study finds that the positioning of two brands in cobranding affects luxury evaluation. Specifically, vertical positioning benefits consumers’ attitude toward luxury compared with horizontal positioning. Results also elucidate that such an effect depends on the product category; that is, the effect of positioning on luxury only exists when the cobranded product belongs to the core (vs non-core) category of luxury. The benefit understanding explains the effects of the positioning and product category on the luxury attitude.

Research limitations/implications

This study contributes to the literature on luxury and cobranding by exploring the visual cues at the marketing communication level influencing the evaluation of luxury brands.

Practical implications

The findings provide important managerial guidelines for enhancing luxury cobranding effectiveness.

Originality/value

This study proposes positioning in cobranding advertisements as one of the antecedents affecting luxury cobranding evaluation. Accordingly, this study adopts a new perspective on visual perception, based on conceptual metaphor theory, which advances the theoretical and empirical knowledge of luxury cobranding.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 36 no. 12
Type: Research Article
ISSN: 1355-5855

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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…

539

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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