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Snake-inspired robots are of great significance in many fields because of their great adaptability to the environment. This paper aims to systematically illustrate the research progress of snake-inspired robots according to their application environments. It classifies snake-inspired robots according to the numbers of degrees of freedom in each joint and briefly describes the modeling and control of snake-inspired robots. Finally, the application fields and future development trends of snake-inspired robots are analyzed and discussed.

This paper summarizes the research progress of snake-inspired robots and clarifies the requirements of snake-inspired robots for self-adaptive environments and multi-functional tasks. By equipping various sensors and tool modules, snake-inspired robots are developed from fixed-point operation in a single environment to autonomous operation in an amphibious environment. Finally, it is pointed out that snake-inspired robots will be developed in terms of rigid and flexible deformable structure, long endurance and multi-function and intelligent autonomous control.

Inspired by the modular and reconfigurable concepts of biological snakes, snake-inspired robots are well adapted to unknown and changing environments. Therefore, snake-inspired robots will be widely used in industrial, military, medical, post-disaster search and rescue applications. Snake-inspired robots have become a hot research topic in the field of bionic robots.

This paper summarizes the research status of snake-inspired robots, which facilitates the reader to be a comprehensive and systematic understanding of the research progress of snake-inspired robots. This helps the reader to gain inspiration from biological perspectives.

The purpose of this study is to elucidate the size effect (groove width, unit length and area density) of the hexagonal texture on tribological properties under lubrication.

The tribological properties of nine hexagonal textures with different hexagon lengths and groove widths have been investigated under mixed lubrication to elucidate the size effect.

Overall, the friction coefficient decreases as the groove width increases within the examined range, whereas the hexagon length shows an optimal value around 3 mm. In particular, one hexagonal texture (3 × 3 mm) exhibits lower friction coefficients and less wear losses than the others. Interestingly, two hexagonal textures of similar area density (1 × 1 mm and 3 × 3 mm) yield the worst and best tribological performances, respectively, which can be explained by the simulated distribution of equivalent stress.

The tribological properties of nine hexagonal textures are examined under lubrication. The 3 × 3 texture exhibits lower friction coefficient and wear loss than the others. Two textures of similar area density yield the worst and best tribological performances. The results agree with the simulated distribution of equivalent stress.

This study aims to analyze the transmission characteristics of a long-period grating (LPG) fabricated on plastic optical fibers (POFs) and its refractive index (RI) sensing.

The geometric optic method is used to analyze the factors affecting the transmission characteristics of an LPG on POFs. The RI sensing performances of unbent LPGs and U-bent LPGs fabricated on POFs with different diameters are evaluated experimentally.

This study shows that the transmission loss caused by LPG strongly depends on the structural parameters of LPG and the environmental RI. For the unbent LPG, the highest RI sensitivity of 1,015%/RI unit (RIU) was obtained in the RI range of 1.33–1.45. For the U-bent LPG without cladding, the highest RI sensitivities of 1,007 and 559%/RIU are obtained in the RI ranges of 1.33–1.40 and 1.40–1.45, respectively.

A geometric optic method is used to analyze the transmission characteristics for an LPG on POFs, and the RI sensing of the LPGs are studied experimentally. The results show the LPG has a good RI sensing performances and is with the features of low-cost, simple structure and easy fabrication.

This study identifies and examines psychological and environmental factors that influence the long-term orientation of top management teams (TMTs).

Data on S&P 500 companies from 2011 to 2020 are collected from the Compustat database. Additional variables were measured through content analysis of earnings conference calls. This study used two-stage least squares regression with fixed effects to analyze the data and test the hypotheses. Appropriate diagnostic tests were conducted to ensure validity and eliminate endogeneity.

The results indicate that a chief executive officer’s (CEO) promotion focus positively and significantly influences the TMT's long-term orientation. However, the influence of prevention focus is statistically insignificant. Furthermore, the results indicate that environmental hostility moderates both relationships.

The TMT's long-term orientation can be improved through the insights provided by this study.

To the authors’ knowledge, this is the first study to examine the collective effects of psychological and task environmental factors on the long-term orientation of the TMT. Additionally, this study sheds light on the internal dynamics of the top-management team.

The main objective of this work is to show that the traditional specific characteristics of companies as well as cultural and religious dimensions can influence the leverage of companies in different macro-environmental systems.

To achieve this aim, the authors have used data from 1.568 firms from 7 European countries between 2010 and 2016, and the models were estimated by using panel data methodology, specifically the generalized method of moments (GMM) estimation method by Arellano and Bover (1995) and Blundell and Bond (1998).

Overall, the empirical results point out that the cultural moderating factors are essential in determining companies' capital structure, regardless of the country's legal origin. The study results also show that traditional variables, intrinsic to management, macroeconomic environment and religion, have a central role in capital structure, namely for the civilian countries.

As far as the authors know, this is the first work that uses, in addition to the traditional specific characteristics of companies, cultural dimensions and religion, as determinants of debt levels, in different legal systems for Europe.

This research measured and compared the brand identity of Kentucky Fried Chicken (KFC) in China and the United States. Brand identity was defined as the customer impressions of four different KFC identity elements – properties, products, presentations, and publications. A survey of young consumers in the two countries (n = 795), showed that the Chinese respondents were more apt to eat within KFC restaurants, and spend more time doing so, than the Americans. The Chinese also had much more positive impressions of KFC than their US counterparts. Brand identity impressions were correlated with overall customer satisfaction and with future patronage intentions for both groups, but much more so for the Americans. These findings support a model where differences in cultural frames of reference lead consumers to actively localize the brand identity of this nominally globalized product.

The purpose of this paper is to present the application of Hilbert–Huang transform (HHT) for fatigue damage feature characterisation in the time–frequency domain based on strain signals obtained from the automotive coil springs.

HHT was employed to detect the temporary changes in frequency characteristics of the vibration response of the signals. The extraction successfully reduced the length of the original signal to 40 per cent, whereas the fatigue damage was retained. The analysis process for this work is divided into three stages: signal characterisation with the application of fatigue data editing (FDE) for fatigue life assessment, empirical mode decomposition with Hilbert transform, an energy–time–frequency distribution analysis of each intrinsic mode function (IMF).

The edited signal had a time length of 72.5 s, which was 40 per cent lower than the original signal. Both signals were retained statistically with close mean, root-mean-square and kurtosis value. FDE improved the fatigue life, and the extraction did not affect the content and behaviour of the original signal because the editing technique only removed the minimal fatigue damage potential. HHT helped to remove unnecessary noise in the recorded signals. EMD produced sets of IMFs that indicated the differences between the original signal and mean of the signal to produce new components. The low-frequency energy was expected to cause large damage, whereas the high-frequency energy will cause small damage.

HHT and EMD can be used in the strain data signal analysis of the automotive component of a suspension system. This is to improve the fatigue life, where the extraction did not affect the content and behaviour of the original signal because the editing technique only removed the minimal fatigue damage potential.

The aim of this paper is to examine how the co‐evolution of two order systems‐guanxi networks and legal system, i.e. a dual order system‐has shaped the growth of China's SMEs. From an institutional perspective, one proposition suggested has been that building guanxi networks can facilitate the growth of China's SMEs when institutions change in unpredictable ways. Another proposition claims legal institutions become guarantors of the growth of China's SMEs as a result of competition in increasingly market‐oriented environment.

Over a nine‐year period (1998‐2006), this study conducts in‐depth interviews with 18 top managers of three Chinese SMEs in Wenzhou, a city located in south of China. To identify potential research subjects, SMEs that had been operating for a period of at least five years and privately‐owned were chosen. Since institution evolution is characterized with a longitudinal nature, the authors gathered data from three different time periods in order to capture the richness of the phenomenon.

Dual order mechanisms consisting of guanxi networks (informal institutions) and codified laws (formal institutions) are both relevant in the growth of SMEs: guanxi networks are more significant at earlier stages of growth whereas legal systems are more influential in later stages. This argument is supported with data collected from three longitudinal case studies of SMEs in China.

Data were obtained from three companies in Wenzhou of China, thus findings might not be generalizable across the country.

Three longitudinal case studies are unique. According to Pettigrew, longitudinal methods may be the only way to uncover processes of institutional change. The paper investigates the role of dual order system consisting of guanxi and legal systems in the growth of China's SMEs. The research not only contributes to the guanxi literature but also enables managers and investors to better understand the guanxi practice and role of legal systems in the growth of SMEs.

Online user innovation community (OUIC) has become a vital source for enterprises to obtain user innovation ideas and interact with users in new product development. However, most studies only focus on the relationship between users and ideas, often ignoring the influence of employees in the innovation platform. The purpose of this study is to explore the impact of employee behaviors on idea quality in OUIC.

In this paper, the authors collected sample data of open user innovation community – Idea Exchange – and then, the authors examined the direct roles of employee’s idea generation behaviors and idea promotion behaviors on idea quality and the moderating roles of social networks position and enthusiasm by using binary logistic regression model.

Results indicated that employee’s idea generation behaviors and idea promotion behaviors have a positive influence on users’ idea quality. Also, the social network position and characteristics show the moderation effect of employee behavior and idea quality.

This study is different from prior studies because it emphasizes the role of employees in the open source platform. The findings suggest that enterprises and platform managers pay more attention to the impact of employees and improve the quality of ideas and promote the development of OUIC.