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1 – 4 of 4Xiangdi Yue, Yihuan Zhang, Jiawei Chen, Junxin Chen, Xuanyi Zhou and Miaolei He
In recent decades, the field of robotic mapping has witnessed widespread research and development in light detection and ranging (LiDAR)-based simultaneous localization and…
Abstract
Purpose
In recent decades, the field of robotic mapping has witnessed widespread research and development in light detection and ranging (LiDAR)-based simultaneous localization and mapping (SLAM) techniques. This paper aims to provide a significant reference for researchers and engineers in robotic mapping.
Design/methodology/approach
This paper focused on the research state of LiDAR-based SLAM for robotic mapping as well as a literature survey from the perspective of various LiDAR types and configurations.
Findings
This paper conducted a comprehensive literature review of the LiDAR-based SLAM system based on three distinct LiDAR forms and configurations. The authors concluded that multi-robot collaborative mapping and multi-source fusion SLAM systems based on 3D LiDAR with deep learning will be new trends in the future.
Originality/value
To the best of the authors’ knowledge, this is the first thorough survey of robotic mapping from the perspective of various LiDAR types and configurations. It can serve as a theoretical and practical guide for the advancement of academic and industrial robot mapping.
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Abstract
Purpose
As a common form of failure in industry, corrosion causes huge economic losses. At present, with the development of computational techniques, artificial intelligence (AI) is playing a more and more important role in the field of scientific research. This paper aims to review the application of AI in corrosion protection research.
Design/methodology/approach
In this paper, the role of AI in corrosion protection is systematically described in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction.
Findings
With efficient and in-depth data processing methods, AI can rapidly advance the research process in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction and save on costs.
Originality/value
This paper summarizes the application of AI in corrosion protection research and provides the basis for corrosion engineers to quickly and comprehensively understand the role of AI and improve production processes.
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Szu-Yu Kuo, Ya-Ling Kao, Jia-Wei Tang and Pei-Hsuan Tsai
Given the increasing intensity of highly competitive markets, this study aims to evaluate the effect of salespeople's emotional regulation, adaptive selling and customer-oriented…
Abstract
Purpose
Given the increasing intensity of highly competitive markets, this study aims to evaluate the effect of salespeople's emotional regulation, adaptive selling and customer-oriented behavior on sales performance.
Design/methodology/approach
A research model was tested by using a sample of 288 respondents from the logistics industry in Taiwan. Structural equation modeling was used to examine the relationships between emotional regulation, adaptive selling, job resourcefulness, customer-oriented behavior and sales performance.
Findings
The results indicate that emotional regulation, adaptive selling and job resourcefulness can improve customer-oriented behavior, and that customer-oriented behavior and job resourcefulness can enhance sales performance. By highlighting the role of job resourcefulness, the authors find a positive moderating effect among these four dimensions.
Originality/value
The findings can help salespeople integrate customer-oriented behaviors into strategic changes to regulate their own emotions and those of others to productively address and resolve difficult business conditions. The theoretical and managerial implications of this work's contributions to international logistics are also discussed.
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Zhiyong Li, Jiahui Huang, Songshan (Sam) Huang and Dan Huang
This study aims to understand Chinese consumers’ perceived barriers to using peer-to-peer (P2P) accommodation before and after the outbreak of COVID-19 and the negotiation…
Abstract
Purpose
This study aims to understand Chinese consumers’ perceived barriers to using peer-to-peer (P2P) accommodation before and after the outbreak of COVID-19 and the negotiation strategies they applied in overcoming the barriers and enabling consumption.
Design/methodology/approach
A qualitative research design with 28 semi-structured interviews was used. Data were analysed by content analysis.
Findings
Five psychological barriers and four functional barriers were found to inhibit consumers from using P2P accommodation both before and after the COVID-19 outbreak. In overcoming the perceived barriers, consumers applied both behavioural negotiation strategies, including seeking information, behavioural adaptation, selective choice and seeking social support, and cognitive negotiation strategies, including cognitive adaptation and trusting agents. COVID-19 was found to serve as both a barrier and a facilitator for using P2P accommodation. A barriers–negotiation framework was developed in the context.
Research limitations/implications
Theoretically, this study advances consumer resistance and perceived barriers literature by integrating negotiation and developing a barriers–negotiation framework of P2P accommodation usage. This study also offers insights for practitioners in the P2P accommodation industry.
Originality/value
This study showcases the role of negotiation in understanding barriers to using P2P accommodation, paving the way to extend relevant knowledge to advance consumer resistance research, which is an emerging topic in the broader management domain.
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