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This paper aims to examine the relationship between executive pay disparity and the cost of debt.

The authors use a sample of syndicated bank loans granted to United States (US) listed firms from 1992 to 2014 and adopt the loan yield spread (Chief Executive Officer (CEO) pay slice) as the main proxy for the cost of debt (executive pay disparity). The authors also use the Heckman two-stage model to address the sample selection bias and the two-stage least squares and propensity score matching methods to control the potential endogeneity issues. To test different views about executive pay disparity, the authors adopt the cash-to-stock ratio to proxy for managerial risk-shifting incentives.

The authors find that the cost of debt is significantly higher for firms with larger executive pay disparity, which is robust to sample selection bias, endogeneity concerns, alternative measures and various controls. This positive relationship increases with the risk-shifting incentives of CEOs instead of other top executives, which supports the managerial power view, and is stronger for firms with higher levels of financial distress. The findings suggest that creditors view executive pay disparity are associated with higher credit risk and CEO entrenchment.

This paper reveals one “dark” side of executive pay disparity: it increases the cost of debt and identifies a significant role played by CEOs' risk-shifting incentives. The authors provide direct evidence of the relevance of pay differential to corporate credit analysis.

A humanoid intelligent robot (HIR) possessing a human-like appearance can undertake human jobs, interact, communicate and even transmit emotions to human beings. Such robots have gradually been integrated into people's daily life and production scenarios. However, it is unclear whether and by what mechanism HIRs can stimulate people’s risk perception and its impact on consumption attitudes. Based on the risk decision theory, this study aims to take the social value substitution attribute of a HIR as the incentive and analyzes the influence of social value substitution and risk perception on the customers’ consumption attitudes.

Three experiments were conducted to investigate the related questions about the social value substitution attribute of a HIR, its impact on risk perception and the customers’ consumption attitudes.

The results reveal that physical labor, intellectual labor, friendship, kinship and the ego constitute the hierarchical elements of social value substitution. Among them, physical labor and intellectual labor pertain to the dimension of social function value substitution, while friendship, kinship and ego pertain to the dimension of social presence value substitution; social function value substitution and social presence value substitution affect the subjects’ risk perception positively, but the latter arouses a stronger risk perception; the 2 (risk perception of social function value: security/danger) × 2 (risk perception of social presence value: security/danger) condition corresponds to diverse consumption attitudes.

The results enrich the theories of the “cha-xu pattern” and “uncanny valley” and provide reference for the healthy development of the HIR industry.

This paper aims to examine different types of sharing platforms based on risk perceptions of product/service providers and users, and to illustrate appropriate platform regulation preferences.

A survey was used (N = 540) to collect data on platform participants’ risk perceptions and regulation preferences in the Chinese (N = 263) and the US markets (N = 277). Cluster analysis and multiple correspondence analysis were used to categorise platforms and match their regulation preferences with the risk characteristics.

The results show that i) four types of sharing platforms are categorised in terms of the risk perceived by the supply and demand side, and ii) four types of regulation preferences are clustered, drawing on the power and trust elements proposed from the slippery slope framework. Furthermore, coercive power regulation is favoured by participants of platforms with high supply risk and low demand risk, legitimate power regulation is preferred by actors of platforms with low supply risk and high demand risk, reason-based trust regulation is preferred by actors of platforms with high supply and demand risk, and implicit trust regulation is favoured by participants of platforms with low supply and demand risk.

This paper develops an empirical typology of platforms based on risk perceptions of providers and users, and advances our understanding about lateral exchange markets from a consumer perspective.

This paper provides implications for platforms to regulate transactions through two mechanisms – the power of platforms and trust in platform participants.

Regulating by power ensures transaction security while regulating by trust enhances transaction efficiency, so it is important to configure the power and trust elements in platform regulation in an appropriate manner. To the best of the authors’ knowledge, this paper is one of the first attempts at addressing platform regulation and shows how consumers’ risk perception of platforms can lead to important implications for theory and practice in marketing and better regulation of platform transactions.

This paper aims to examine how the official discourse of frugality evolved in China between 1979 and 2015.

The study uses historical and textual analysis. It divides the Chinese official discourse on frugality between 1979 and 2015 into four periods: 1979-1992, 1993-2002, 2003-2012 and 2013-2015.

A Chinese official discourse on frugality persisted between 1979 and 2015, even though during the same period, China transformed from a socialist economy of central planning and insufficient supply to a market economy of excessive supply and weak consumer demand. The intensity of this official discourse frequently vacillated, adjusting to both economic and political conditions of the time as part of the larger political-economic contestation between competing ideas and policies.

There have been calls for more studies on how frugality discourses have evolved in international markets, especially in terms of how they are shaped by local historical antecedents and long-standing tensions. Through the Chinese case, this article illuminates why some traditional values persist and obtain a paradoxical co-existence with consumerist ethos in our modern society.

Taking a business lens of telehealth, this article aims to review and provide a state-of-the-art overview of telehealth research.

This research conducts a systematic literature review using the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) protocol and a collection of bibliometric analytical techniques (i.e. performance analysis, keyword co-occurrence, keyword clustering and content analysis).

Using performance analysis, this article unpacks the publication trend and the top contributing journals, authors, institutions and regions of telehealth research. Using keyword co-occurrence and keyword clustering, this article reveals 10 major themes underpinning the intellectual structure of telehealth research: design and development of personal health record systems, health information technology (HIT) for public health management, perceived service quality among mobile health (m-health) users, paradoxes of virtual care versus in-person visits, Internet of things (IoT) in healthcare, guidelines for e-health practices and services, telemonitoring of life-threatening diseases, change management strategy for telehealth adoption, knowledge management of innovations in telehealth and technology management of telemedicine services. The article proposes directions for future research that can enrich our understanding of telehealth services.

This article offers a seminal state-of-the-art overview of the performance and intellectual structure of telehealth research from a business perspective.

This paper aims to calibrate the mounted parameters between the LIDAR and the motor in a low-cost 3D LIDAR device. It proposes the model of the aimed 3D LIDAR device and analyzes the influence of all mounted parameters. The study aims to find a way more accurate and simple to calibrate those mounted parameters.

This method minimizes the coplanarity and area of the plane scanned to estimate the mounted parameters. Within the method, the authors build different cost function for rotation parameters and translation parameters; thus, the parameter estimation problem of 4-degree-of-freedom (DOF) is decoupled into 2-DOF estimation problem, achieving the calibration of these two types of parameters.

This paper proposes a calibration method for accurately estimating the mounted parameters between a 2D LIDAR and rotating platform, which realizes the estimation of 2-DOF rotation parameters and 2-DOF translation parameters without additional hardware.

Unlike previous plane-based calibration techniques, the main advantage of the proposed method is that the algorithm can estimate the most and more accurate parameters with no more hardware.

Facing turbulent environments, firms have strived to achieve greater supply chain resilience (SCR) to leverage the resources and knowledge of supply chain members. Both SCR and supply chain integration (SCI) require digitization in the supply chain, but their interrelationships have rarely been researched empirically. This paper aims to uncover the impact of digital technology (DT) on SCR and SCI and the role of SCI in mediating between DT and SCR.

China manufacturing enterprises were surveyed through a Web-based questionnaire, and 96 responses were received. Structural equation modeling was used to test the conceptual model.

The level of enterprise digitization is not directly related to supply chain resilience, but the level of enterprise digitization has a positive impact on the improvement of SCI and SCI also has a positive effect on SCR. Therefore, SCI has a complete intermediary effect between the level of DT and SCR.

This is a pioneer study to examine the relationships among DT, SCI and SCR. The findings of this study present that firms need to improve DT, SCI and SCR consequently.

The purpose of this paper is to summarize the existing point cloud target detection algorithms based on deep learning, and provide reference for researchers in related fields. In recent years, with its outstanding performance in target detection of 2D images, deep learning technology has been applied in light detection and ranging (LiDAR) point cloud data to improve the automation and intelligence level of target detection. However, there are still some difficulties and room for improvement in target detection from the 3D point cloud. In this paper, the vehicle LiDAR target detection method is chosen as the research subject.

Firstly, the challenges of applying deep learning to point cloud target detection are described; secondly, solutions in relevant research are combed in response to the above challenges. The currently popular target detection methods are classified, among which some are compared with illustrate advantages and disadvantages. Moreover, approaches to improve the accuracy of network target detection are introduced.

Finally, this paper also summarizes the shortcomings of existing methods and signals the prospective development trend.

This paper introduces some existing point cloud target detection methods based on deep learning, which can be applied to a driverless, digital map, traffic monitoring and other fields, and provides a reference for researchers in related fields.

Telepresence robots (TPRs) are an emerging field of application and research that have received attention from various disciplines, including computer science, telehealth and education. The purpose of this study is to conduct a bibliometric analysis of publications on TPR in the Web of Science database from 1980 to 2022 to gain a better understanding of the state of research on TPRs and explore the role of pedagogical and psychological aspects in this research.

The analysis of research publications on TPRs was made on the basis of papers published in the Web of Science database from 1980 to 2022. The following research questions were proposed: What are the main tendencies in publication years, document types, countries of origin, source titles, publication authors, affiliations of authors and the most cited articles related to TPRs? What are the main topics discussed in the publications from the perspective of psychology? What are the main topics discussed in the publications from the perspective of educational sciences?

The results indicate that it is in the computer science where most of the existing research has been conducted, whereas the interest in the psychology and educational science has been relatively low. The greatest regional contributor has been the USA, whereas the effort in the European Union lags behind. Research publications in psychology in the Web of Science database related to TPRs can be grouped into three broad thematic categories: features of TPRs, degree of social presence compared to physical presence or other mediated technologies and opportunities for using TPRs. The results suggest that from the perspective of psychology, TPRs are one of the approaches that could enable greater social presence in remote communication. Most of the analysed papers in educational sciences investigated the opportunities of using TPRs in various educational fields. However, while the findings of the studies indicated significant potential of TPRs for education, their acceptance for wider use is still challenged.

The limitations of this research are that this study only analysed research papers in the Web of Science database and therefore only covers a limited number of scientific papers published in the field of psychology and educational sciences on TPRs. In addition, only publications with the term “telepresence robots” in the topic area of the Web of Science database were analysed. Therefore, several relevant studies are not discussed in this paper that are not reflected in the Web of Science database or were related to other keywords.

The field of TPRs has not been explored using a bibliographic analysis of publications in the Web of Science database from the perspective of psychology and educational sciences. The findings of this paper will help researchers and academic staff better understand the state of research on TPRs and the pedagogical and psychological aspects addressed in this research.