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1 – 4 of 4Zhihui Yang, Dongbin Hu and Xiaohong Chen
In the dynamic landscape of the digital economy, companies are increasingly adopting omnichannel integration strategies to enhance customer experiences. However, the interplay…
Abstract
Purpose
In the dynamic landscape of the digital economy, companies are increasingly adopting omnichannel integration strategies to enhance customer experiences. However, the interplay between this strategy and digitalisation in fostering brand trust remains uncharted. Drawing on the social exchange and psychological reactance theories, this study ventures into unexplored territory by examining the impact of omnichannel integration and digital value on brand trust building. It also delves into the boundary roles of customers’ psychological perceptions, both positive (customer empowerment) and negative (privacy concerns and perceived deception), in this process.
Design/methodology/approach
This study conducted an online survey of 595 omnichannel users in China and validated the model using partial least squares structural equation modelling (PLS-SEM).
Findings
This study’s results have significant implications for businesses. They show that customer perception of omnichannel integration and perceived digital value are critical drivers of omnichannel brand trust, with customer empowerment playing a mediating role. Notably, the study also reveals that customers’ negative psychological perceptions can have different moderating effects, highlighting the need for businesses to address these concerns in their omnichannel strategies.
Originality/value
This study breaks new ground in marketing research by highlighting the benefits of omnichannel integration and incorporating digital perspectives. It demonstrates the positive impact of blending customer perception of omnichannel integration and perceived digital value on brand trust formation. Furthermore, it explores the boundary roles of customers’ psychological perceptions in this process, offering a unique and comprehensive perspective.
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Zhifeng Shen, Xiangdong Wei, Ahsan Siraj, Shilpa Taneja, Linyan Fang and Zhihui Li
The aim of this study is to find the governance mechanism that matches the EPC project governance model as well as the performance criteria for measuring the quality governance of…
Abstract
Purpose
The aim of this study is to find the governance mechanism that matches the EPC project governance model as well as the performance criteria for measuring the quality governance of EPC projects so as to improve the level of quality of EPC project delivery.
Design/methodology/approach
An in-depth questionnaire survey of 199 EPC engineering practitioners and quality control units was conducted and the survey data was analysed using SPSS 24.0 software.
Findings
The results show that administrative governance, industry governance and internal project governance have direct effects on the quality governance performance of EPC projects. Administrative governance has a positive impact on the quality governance performance of EPC projects through industry governance and project internal governance.
Research limitations/implications
This study enriches the research on engineering quality governance in the context of EPC projects, discusses how to improve the performance of EPC engineering quality governance and will provide certain reference and information for other EPC projects to establish an adapted engineering quality governance mechanism.
Originality/value
This paper exploratively proposes EPC administrative governance mode, industry governance mode and internal project governance mode and analyzes the logical relationship between them and EPC project quality governance performance and constructs a theoretical model influencing the improvement of EPC project quality governance performance.
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Kexin Ma, Jianxin Deng, Yichen Bao, Zhihui Zhang and Junyan Wang
Liquid-assisted laser surface texturing technology was used to create composite microtextures on triangular guide rail surfaces to enhance their tribological properties.
Abstract
Purpose
Liquid-assisted laser surface texturing technology was used to create composite microtextures on triangular guide rail surfaces to enhance their tribological properties.
Design/methodology/approach
Numerical simulations were used to investigate the impact of various microtextures on fluid dynamic lubrication. Reciprocating friction and wear tests, followed by mechanistic analysis, examined the combined tribological effects of microtextured surfaces and lubricants.
Findings
The numerical simulation outcomes reveal a significant augmentation in the influence of fluid dynamic pressure due to composite microtextures, consequently amplifying the load-bearing capacity of the oil film. The average friction coefficient of composite microtextured samples was approximately 0.136 in reciprocating pin-on-disk friction tests, representing approximately 17% decrease compared to polished samples. Triangular guide rails with composite microtextures demonstrated the lowest average coefficient under conditions of high-speed and heavy-loading in the reciprocating friction and wear tests. Additionally, the presence of composite microtextures was found to promote the formation of adsorbed and friction films during friction, potentially contributing to the enhancement of tribological properties.
Originality/value
Triangular guide rails face high friction and wear, limiting their stability in demanding applications like machine tool guideways. This paper proposes a novel approach for steel triangular guide rails, involving composite microtexturing, numerical fluid simulations, liquid-assisted laser surface texturing and friction-wear testing. By implementing composite microtextures, the method aims to reduce friction coefficients and extend guideway service life, thereby saving energy and reducing maintenance costs. Enhancing the antifriction and antiwear properties of machine tool guideways is crucial for improving performance and longevity.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2024-0183/
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This study establishes an ontology-based framework for rework risk identification (RRI) by integrating heterogeneous data from the information flow of the prefabricated…
Abstract
Purpose
This study establishes an ontology-based framework for rework risk identification (RRI) by integrating heterogeneous data from the information flow of the prefabricated construction (PC) process. The main objective is to enhance the automation level of rework management and reduce the degree of reliance on human factors and manual operations.
Design/methodology/approach
The proposed framework comprises four levels aimed at managing dispersed rework risk knowledge and integrating heterogeneous data. The functionalities were realised through an integrated ontology that aligned the rework risk ontology with the PC ontology. The ontologies were developed and edited with Protégé. Ultimately, the potential benefit of the framework was validated through a case study and an expert questionnaire survey.
Findings
The framework is proven to effectively manage rework risk knowledge and can identify risk objects, clarify risk factors, determine risk events, and retrieve risk measures, thereby enabling the pre-identification of prefabricated rework risk (PRR) and improving the automation level. This study is meaningful and lays the foundation for the application of other computer methods in rework management research and practice in the future.
Originality/value
This research provides insights into the application of ontology to solve rework risk issues in the PC process and introduces a novel risk management method for future prefabricated project research and practice. The findings have significant theoretical value in terms of enriching the methods of risk assessment and control and the information management system of prefabricated projects.
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