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This study aims to investigate the effects of hotel customers’ perceived utilitarian and hedonic values on their intention to use service robots. In addition, the influences of innovativeness, ease of use and compatibility on hotel customers’ perceived utilitarian and hedonic values were examined.

The data of the current study was collected from 11 countries including the USA, UK, Turkey, Spain, Romania, Japan, Israel, India, Greece, Canada and Brazil. A structural equation modeling was used to test the study hypotheses.

The results indicated that hotel customers’ intention to use service robots was positively influenced by their utilitarian and hedonic value perceptions. In addition, customers’ perceptions of robots’ ease of use and compatibility had a positive impact on their perceived utilitarian and hedonic values.

The findings of the current study provide unique contributions in the context of hospitality robotics technology adoption literature. In addition, this study provides valuable insights and novel opportunities for hospitality decision-makers to capitalize on, as they strive to strategize the integration of robot-based services into their operations.

本研究调查了酒店顾客感知功能性价值和享乐性价值对服务机器人使用意向的影响。此外, 本研究考察了创新性、易用性和兼容性对酒店顾客感知功能性价值和享乐性价值的影响。

本研究的数据来自美国、英国、土耳其、西班牙、罗马尼亚、日本、以色列、印度、希腊、加拿大和巴西等十一个国家, 采用结构方程模型（SEM）对研究假设进行测试。

结果表明, 酒店顾客使用服务机器人的意向受到他们对功能性价值和享乐性价值的感知的积极影响。此外, 机器人易用性和兼容性对功能性价值和享乐性价值有积极影响。

本研究的发现对酒店行业机器人技术应用文献提供了独特的贡献。此外, 本研究为酒店业的决策者提供了宝贵的见解和新机遇, 使他们能够在将机器人服务的优势整合到酒店运营中。

This study aims to examine the effects of user-generated photos (UGPs) and review valence (RV) on hotel guests’ perceived service quality, perceived price, perceived overall image and booking intention.

An online experiment where respondents were randomly assigned to one of the six conditions in a 2 (UGPs: provided vs not provided) × 3 (RV: positive vs neutral vs negative) between-subjects factorial design was used. The data of the study was collected from the travelers who used an online hotel review site to book a hotel at least once in the past 12 months. An independent sample t-test and analysis of variance were used to analyze the data of this study.

The results indicated that UGPs and RV significantly influenced hotel guests’ service quality, price, overall image perceptions and booking intention. The interaction effects of UGPs and RV indicated that positive online hotel reviews with UGPs had higher impact on hotel guests’ service quality, price, overall image perceptions and booking intention than neutral and negative online hotel reviews with UGPs.

The understanding of the effects of UGPs and RV on guests’ price, service quality, overall image perception and booking intention can help hotel managers and social media website designers to better promote the hotel and provide efficient online hotel booking environment.

This study builds the relationships between UGPs and RV and hotel guests’ perceived price, perceived service quality, perceived overall image and booking intention, which are crucial factors regarding online hotel marketing.

评估用户生成的照片对酒店客人价格、服务质量、整体形象感知和预订意愿的影响

本研究旨在探索用户生成的照片 (UGP) 和评论效价 (RV) 对酒店客人感知服务质量、感知价格、感知整体形象和预订意图的影响。

本研究采用受试者间因子设计进行了一项在线实验, 其中受访者被随机分配到 2（UGP：提供与未提供）× 3（RV：阳性 vs. 中性 vs. 阴性）中的六个条件之一。该研究的数据是从过去 12 个月内使用在线酒店评论网站至少预订一次酒店的旅行者那里收集的。使用独立样本 t 检验和方差分析 (ANOVA) 来分析研究数据。

结果表明, UGP 和 RV 显着影响酒店客人的服务质量、价格、整体形象认知和预订意愿。 UGP 和 RV 的交互作用表明, 与 UGP 的中性和负面在线酒店评论相比, 带有 UGP 的正面在线酒店评论对酒店客人的服务质量、价格、整体形象感知和预订意愿的影响更大。

了解UGPs和RV对客人价格、服 务质量、整体形象感知和预订意愿的影响, 可以帮助酒店管理者和社交媒体网站设计师更好地宣传酒店, 提供高效的在线酒店预订环境。

本研究建立了UGP和RV与酒店客人感知价格、感知服务质量、感知整体形象和预订意愿之间的关系, 这些是在线酒店营销的关键因素。

This paper aims to present a digital image processing (DIP)-based discrete element method (DEM) for the analysis of heterogeneous geomaterials. Taking a soil and rock mixture as an example, the direct shear test is used to illustrate the application of this method. The numerical result is validated by the laboratory experiment and implies its feasibility in the analysis of heterogeneous geomaterials.

This method has two major steps. Based on a modification of the connected-component labeling algorithm, a novel vectorization method, which can transform the digital photos to vectorized geometry automatically, is proposed first. Then, a simple yet effective method for the generation of heterogeneous DEM models is presented using the simulation of simplicity technique.

DIP-DEM method is a feasible approach for the analysis of mechanical behavior of heterogeneous material. For soil and rock mixtures (SRM), the horizantal deformation at peak shear point becomes larger with the normal stress. Compared with pure soil, the rock aggregates mainly improve the friction angle of SRM.

As a universal method taking advantage of both DIP and DEM, this method has broad application prospects in related fields.

To attain green economic efficiency, small, micro and medium-sized firms must follow environmental paradigms. This research aims to discover the relationship between green intellectual capital, green entrepreneurial orientation, green marketing, green organizational culture and competitive advantage strategies to attain sustainable manufacturing business success.

Today, many companies have accepted their responsibilities, that their operations should not harm the environment. This paper aims to discover the relationship between green factors and competitive advantage strategies to succeed in sustainable manufacturing. The employees of the large manufacturing firms in China are the sample population of the present investigation. Through simple random sampling, surveys were distributed via email. The present study was a quantitative analysis. The analytical tool utilized here was structural equation modeling and SmartPLS program applications.

The empirical outcomes find that green intellectual capital positively influences competitive advantages and sustainable success in business. In addition, the impact of green entrepreneurial orientation on competitive advantages and sustainable success is positive and significant. The findings illustrated that green marketing is an essential factor in competitive advantage and sustainable success in business. Another point is that green organizational culture positively affects competitive advantages and sustainable success. Finally, competitive advantages have significantly affected sustainable success in business.

The outcomes help specialists enhance their practices to reflect sustainable business efficiency and competitive advantages.

This is the first study that examined businesses' sustainable success and green factors in a comprehensive model and using a specific sample of manufacturing companies based on green technologies.

The study presents the zero investment strategies based on the pricing impact of real earnings management (REM) on stock returns after taking into account the direction and endogeneity nature of REM.

The authors use standard portfolio methodology and Fama–Macbeth cross-sectional regression to analyze the data for this study. Both upward and downward form of REM has been examined. Accrual earnings management (AEM) has been controlled while examining the association between REM and stock returns.

The findings demonstrate that the REM anomaly exists in the Indian equity market and is consistent under different market conditions and investment horizons. It is robust after controlling for cross-sectional effects and AEM. Our subsequent analysis suggests that a decile-based zero investment portfolio strategy based on REM loadings generates an annual excess return of 17.90%. The presented annual excess return is highest among quantile and mean-based investment strategies. Further, the authors find that REM sorted proposed investment strategies outperform the AEM sorted investment strategies in all spheres.

The findings suggest that investors can form an arbitrage profitable investment strategy by taking a long position in the bottom 10% of negative REM stocks, and a short position in the top 10% of positive REM stocks.

This is the first study that examines the pricing impact of REM on stock returns and provides zero investment strategies by betting against REM.

The purpose of this paper is to investigate the anisotropic characteristics of the special structure of a columnar jointed rock masses and provide reference to forecast the behavioral characteristics of real samples.

This study used FLAC3D numerical software to simulate the mechanical behavior of columnar jointed rock masses with different columns angles (ß) under different stress conditions. The peak strength, elastic modulus and Poisson’s ratio were obtained to investigate the strength, deformation characteristics and failure modes of the rock masses under conventional and true triaxial compression.

The results showed that the compressive strength of the specimens presents a U-shape under different joint inclinations. The strength of the specimens reaches a maximum value when ß = 90°, and the value for ß = 0° is slightly lower and reaches a minimum value when ß = 50°. The elastic modulus and Poisson’s ratio of the samples are obviously anisotropic, the anisotropic coefficient decreases with increasing confining pressure. When σ₂ ≠ σ₃, the peak strengths of the samples are related to the direction of the minor principal stress, and the failure modes of the samples are related to the confining pressure and joint inclination.

The present paper uses a numerical simulation method to examine the strength and deformation characteristics of a columnar jointed rock mass under conventional and true triaxial compression. The aim is to provide a reference to forecast the mechanical characteristics of test samples in the laboratory.

This study aims to solve the problem of weld quality inspection, for the aluminum alloy profile welding structure of high-speed train body has complex internal shape and thin plate thickness (2–4 mm), the conventional nondestructive testing method of weld quality is difficult to implement.

In order to solve this problem, the ultrasonic creeping wave detection technology was proposed. The impact of the profile structure on the creeping wave detection was studied by designing profile structural test blocks and artificial simulation defect test blocks. The detection technology was used to test the actual welded test blocks, and compared with the results of X-ray test and destructive test (tensile test) to verify the accuracy of the ultrasonic creeping wave test results.

It is indicated that that X-ray has better effect on the inspection of porosities and incomplete penetration defects. However, due to special detection method and protection, the detection speed is slow, which cannot meet the requirements of field inspection of the welding structure of aluminum alloy thin-walled profile for high-speed train body. It can be used as an auxiliary detection method for a small number of sampling inspection. The ultrasonic creeping wave can be used to detect the incomplete penetration welds with the equivalent of 0.25 mm or more, the results of creeping wave detection correspond well with the actual incomplete penetration defects.

The results show that creeping wave detection results correspond well with the actual non-penetration defects and can be used for welding quality inspection of aluminum alloy thin-wall profile composite welding joints. It is recommended to use the echo amplitude of the 10 mm × 0.2 mm × 0.5 mm notch as the criterion for weld qualification.

The purpose of this paper is to present a detection method based on computer vision for automatic flexible printed circuit (FPC) defect detection.

This paper proposes a new method of watershed segmentation based on morphology. A dimensional increment matrix calculation method and an image segmentation method combined with a fuzzy clustering algorithm are provided. The visibility of the segmented image and the segmentation accuracy of a defective image are guaranteed.

Compared with the traditional one, the segmentation result obtained in this study is superior in aspects of noise control and defect segmentation. It completely proves that the segmentation method proposed in this study is better matches the requirements of FPC defect extraction and can more effectively provide the segmentation result. Compared with traditional human operators, this system ensures greater accuracy and more objective detection results.

The extraction of FPC defect characteristics contains some obvious characteristics as well as many implied characteristics. These characteristics can be extracted through specific space conversion and arithmetical operation. Therefore, more images are required for analysis and foresight to establish a more widely used FPC defect detection sorting algorithm.

This paper proposes a new method of watershed segmentation based on morphology. It combines a traditional edge detection algorithm and mathematical morphology. The FPC surface defect detection system can meet the requirements of online detection through constant design and improvement. Therefore, human operators will be replaced by machine vision, which can preferably reduce the production costs and improve the efficiency of FPC production.

This study investigates how the association between national culture and earnings management compares between developed and emerging countries.

The empirical analysis relies on a sample of 6,313 firm-year observations from 11 emerging markets and 27,605 firm-year observations from 22 developed countries. The authors use ordinary least squares regression methods to test the hypotheses of the study.

Based on Hofstede's (2011) cultural dimensions, the authors find that firms from countries with a higher level of uncertainty avoidance and individualism are less likely to engage in earnings management, but the effect of uncertainty avoidance (individualism) is more (less) pronounced in the emerging countries. Moreover, the authors demonstrate that firms from emerging (developed) countries with higher levels of power distance and masculinity are less (more) likely to engage in earnings management. Finally, the authors find evidence of a trade-off between accruals-based and real earnings management in firms from countries with greater long-term orientation and an indulgence cultural dimension.

This paper adds to the literature by theoretically discussing and empirically analysing the role that developed and emerging countries' development plays on the effect of national culture on earnings management.