Shihao Li, Rongjun Cheng, Hongxia Ge and Pengjun Zheng
The purpose of this study is to explore the influence of the electronic throttle (ET) dynamics and the average speed of multiple preceding vehicles on the stability of traffic…
Abstract
Purpose
The purpose of this study is to explore the influence of the electronic throttle (ET) dynamics and the average speed of multiple preceding vehicles on the stability of traffic flow.
Design/methodology/approach
An extended car-following model integrating the ET dynamics and the average speed of multiple preceding vehicles is presented in this paper. The novel model’s stability conditions are obtained by using the thought of control theory, and the modified Korteweg–de Vries equation is inferred in terms of the nonlinear analysis method. In addition, some simulation experiments are implemented to explore the properties of traffic flow, and the results of these experiments confirm the correctness of theoretical analysis.
Findings
In view of the results of theoretical analysis and numerical simulation, traffic flow will become more stable when the average speed and ET dynamics of multiple preceding vehicles are considered, and the stability of traffic flow will also be enhanced by increasing the number of preceding vehicles considered.
Research limitations/implications
This study leaves the factors such as the mixed traffic flow, the multilane and so on out of account in real road environment, which more or less influences the traffic flow’s stability, so the real traffic environment is not fully reflected.
Originality/value
There is little research integrating ET dynamics and the average velocity of multiple preceding vehicles to study the properties of traffic flow. The enhanced model constructed in this study can better reflect the real traffic, which can also give some theoretical reference for the development of connected and autonomous vehicles.
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Shihao Li, Hongxia Zhang, Xuefang Wang and Guoqun Fu
This article investigated the relationship between loneliness and anthropomorphic products.
Abstract
Purpose
This article investigated the relationship between loneliness and anthropomorphic products.
Design/methodology/approach
The authors conducted three studies to examine their hypotheses.
Findings
The authors confirmed that highly lonely people would like to seek for social relationship. What's more, they may try to compensate by creating a sense of connection with nonhuman products so they will prefer anthropomorphic products. Further, the authors demonstrated that information framework can moderate this effect. Highly lonely consumers would increase their preference to anthropomorphic product under promotion-focus information, whereas they would decrease their preference to anthropomorphic product under prevention-focus information. These effects do not exist in lowly lonely consumers. At the same time, the authors demonstrate that the effect is mediated by perceived social connection.
Originality/value
This article contributes to loneliness literature in the consumer behavior field and proves the moderation effect of the information framework, which can deepen our understanding of the relationship between loneliness and anthropomorphic products.
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Qi Yao, Qiuyan Wan, Shihao Li, Wenkai Zhou and Zhilin Yang
Smiles displayed at varying intensities by service providers may result in different social judgments by customers, affecting decision-making. This study investigates the joint…
Abstract
Purpose
Smiles displayed at varying intensities by service providers may result in different social judgments by customers, affecting decision-making. This study investigates the joint effect of customers' sense of power (low vs. high) and service providers' smile intensity (slight vs. broad) on their warmth and competence perceptions in service encounters.
Design/methodology/approach
The authors conducted four experiments based on the Stereotype Content Model (SCM) of social judgments and the agentic-communal model of power, and assessed the impact of perceived power and smile intensity in different service encounter contexts.
Findings
The interaction effect of customers' sense of power (low vs. high) and service providers' smile intensity (slight vs. broad) influences customers' social judgments (warmth perceptions vs. competence perceptions). A service provider who displays a broad smile is more likely to be perceived as warmer by customers with a low sense of power, but less competent by those with a high sense of power. Furthermore, mediation analysis revealed that the combined effect of customers' sense of power and service providers' smile intensity on customers' subjective well-being and purchase intentions might be attributed to their social judgments.
Originality/value
This study reveals the intrinsic mechanism behind the interaction effect between smile intensity and sense of power affecting customers' purchase intentions and subjective well-being, namely, warmth/competence perceptions.
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Shihao Li, Yanghong Hu, Lan Xu and Guoqun Fu
This paper aims to explore how different service relationships (mentoring relationship versus partnering relationship) in service co-production affect service outcomes…
Abstract
Purpose
This paper aims to explore how different service relationships (mentoring relationship versus partnering relationship) in service co-production affect service outcomes. Specifically, it aims to explore whether the effects of service relationships on customers’ intention to purchase the service are contingent upon service appeals’ regulatory focus (promotion versus prevention focus) and when the regulatory fit effects exist.
Design/methodology/approach
Three experimental studies were conducted to test hypotheses. ANOVA and bootstrapping were used to analyze the data.
Findings
The findings of the three experiments provide convergent evidence for the hypotheses. Specifically, when customers view service employees as mentors (versus partners) in service co-production, promotion-focused (versus prevention focused) service appeals effectively enhance customers’ intention to purchase the service because customers experience a regulatory fit. Moreover, the regulatory fit effects are strengthened or attenuated according to customers’ subjective social status.
Practical implications
Service firms should adopt promotion-focused (versus prevention-focused) service appeals if employees and customers are having mentoring (versus partnering) relationships, especially when customers have higher (lower) social status.
Originality/value
To better manage service co-production, this paper investigates beneficial outcomes of mentoring and partnering relationships from a regulatory fit perspective. It highlights the importance of compatibility between service relationship and service appeals’ regulatory focus and demonstrates a novel regulatory fit effect. It also uncovers engagement as the underlying mechanism for the regulatory-fit effect and identifies social class as a boundary condition.
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Kanhua Yu, Jian Gong, Yan Jing, Shuqian Liu and Shihao Liang
Many cities of various types are distributed in the large area of mountainous regions in China. In these cities, there are acute contradictions between man and earth. Considering…
Abstract
Many cities of various types are distributed in the large area of mountainous regions in China. In these cities, there are acute contradictions between man and earth. Considering that the space growth mode of mountainous cities is widely different from that of flatland cities, the fractal method was adopted in the research aimed at demarcating the urban growth boundary of mountainous cities. The fractal features of the investigated mountainous cities in space were figured out via inference from their function, dimension, region, grade, and environment, and the fractal mode and conceptual framework of urban growth boundary of Qin-Ba mountainous region were constructed according to some concepts and methods such as fractal dimension, fractal network, and fractal order. In the research, the traditional urban growth boundary form-was decomposed into scattered points (point form), paths (linear form), and patches (plane form) to form the fractal theory units for the research of urban growth boundary, and the leading idea, procedure, and control method for “fractal demarcation of urban growth boundary” were established to provide strategies for demarcation of urban space growth boundary of Qin-Ba mountainous region.
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Hongwei Zhang, Shihao Wang, Hongmin Mi, Shuai Lu, Le Yao and Zhiqiang Ge
The defect detection problem of color-patterned fabric is still a huge challenge due to the lack of manual defect labeling samples. Recently, many fabric defect detection…
Abstract
Purpose
The defect detection problem of color-patterned fabric is still a huge challenge due to the lack of manual defect labeling samples. Recently, many fabric defect detection algorithms based on feature engineering and deep learning have been proposed, but these methods have overdetection or miss-detection problems because they cannot adapt to the complex patterns of color-patterned fabrics. The purpose of this paper is to propose a defect detection framework based on unsupervised adversarial learning for image reconstruction to solve the above problems.
Design/methodology/approach
The proposed framework consists of three parts: a generator, a discriminator and an image postprocessing module. The generator is able to extract the features of the image and then reconstruct the image. The discriminator can supervise the generator to repair defects in the samples to improve the quality of image reconstruction. The multidifference image postprocessing module is used to obtain the final detection results of color-patterned fabric defects.
Findings
The proposed framework is compared with state-of-the-art methods on the public dataset YDFID-1(Yarn-Dyed Fabric Image Dataset-version1). The proposed framework is also validated on several classes in the MvTec AD dataset. The experimental results of various patterns/classes on YDFID-1 and MvTecAD demonstrate the effectiveness and superiority of this method in fabric defect detection.
Originality/value
It provides an automatic defect detection solution that is convenient for engineering applications for the inspection process of the color-patterned fabric manufacturing industry. A public dataset is provided for academia.
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Umer Sahil Maqsood, Shihao Wang and R.M. Ammar Zahid
In the context of an evolving digital-based global economy, this study aims to investige the impact of digital transformation (DT) on a firm’s internal control (IC) quality. It…
Abstract
Purpose
In the context of an evolving digital-based global economy, this study aims to investige the impact of digital transformation (DT) on a firm’s internal control (IC) quality. It also explores how the personal traits of (CEOs) – such as age, gender and educational background – intersect with DT to shape the IC quality in various types of state-owned enterprises (SOEs).
Design/methodology/approach
The study uses the data from China A-shares non-financial enterprises, listed on Shanghai and Shenzhen stock exchanges between 2007 and 2020. Using the fixed effect regression method alongside various statistical techniques, such as propensity score matching, alternative analysis and instrumental variables analysis, yields robust findings. These methods effectively address issues related to functional form misspecification and potential biases from omitted explanatory variables.
Findings
The findings reveal a positive impact of DT on firm IC quality, and this impact is more pronounced in firms when the CEO is female, young and possesses a higher level of education. Notably, the study also distinguishes between central and local state-owned enterprises (SOEs), highlighting that DT has a greater influence on IC quality in central SOEs, where CEOs often have higher political ranks and closer to government monitoring. Overall, the findings are robust and consist to alternative variable and other statistical methods.
Research limitations/implications
Following are the significant implications for both academia and business. First, firms that effectively adopt DT to enhance IC not only gain a strategic advantage over competitors but also establish efficient risk management practices and a robust IC system. Second, better IC resulting from DT can enhance investor and stakeholder confidence. This is particularly important for publicly traded companies, where investors and analysts closely scrutinize the robustness of IC systems. Third, DT could result in cost savings over time, as automation and streamlined processes may reduce the need for manual efforts and resource-intensive tasks associated with IC.
Originality/value
The findings are contributed to the literature in multiple ways. It enhances our comprehension of the intricate DT-IC quality relationship, and provides valuable insights into the transformative impact of DT on organizational operations and risk management. It also introduces a novel perspective by investigating how CEOs personal traits intersect with DT to shape IC quality, contributing to upper echelons theory. Furthermore, it expands the discussions on firm ownership by considering the types of SOEs (central vs. local), in the DT-IC quality context.
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Mingke Gao, Zhenyu Zhang, Jinyuan Zhang, Shihao Tang, Han Zhang and Tao Pang
Because of the various advantages of reinforcement learning (RL) mentioned above, this study uses RL to train unmanned aerial vehicles to perform two tasks: target search and…
Abstract
Purpose
Because of the various advantages of reinforcement learning (RL) mentioned above, this study uses RL to train unmanned aerial vehicles to perform two tasks: target search and cooperative obstacle avoidance.
Design/methodology/approach
This study draws inspiration from the recurrent state-space model and recurrent models (RPM) to propose a simpler yet highly effective model called the unmanned aerial vehicles prediction model (UAVPM). The main objective is to assist in training the UAV representation model with a recurrent neural network, using the soft actor-critic algorithm.
Findings
This study proposes a generalized actor-critic framework consisting of three modules: representation, policy and value. This architecture serves as the foundation for training UAVPM. This study proposes the UAVPM, which is designed to aid in training the recurrent representation using the transition model, reward recovery model and observation recovery model. Unlike traditional approaches reliant solely on reward signals, RPM incorporates temporal information. In addition, it allows the inclusion of extra knowledge or information from virtual training environments. This study designs UAV target search and UAV cooperative obstacle avoidance tasks. The algorithm outperforms baselines in these two environments.
Originality/value
It is important to note that UAVPM does not play a role in the inference phase. This means that the representation model and policy remain independent of UAVPM. Consequently, this study can introduce additional “cheating” information from virtual training environments to guide the UAV representation without concerns about its real-world existence. By leveraging historical information more effectively, this study enhances UAVs’ decision-making abilities, thus improving the performance of both tasks at hand.
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Chang Wang, Yongchuan Shi and Shihao Jiang
This paper aims to explore the core elements and essential characteristics of entrepreneurship pedagogy in American higher education institutions, outlining a model from multiple…
Abstract
Purpose
This paper aims to explore the core elements and essential characteristics of entrepreneurship pedagogy in American higher education institutions, outlining a model from multiple participants’ perspectives and offering a blueprint for teaching entrepreneurship in higher education settings.
Design/methodology/approach
Structured interviews were conducted with 26 participants involved in entrepreneurship education in American higher education institutions, including teaching managers, teachers and students. The interview data were transformed into documentary materials and analyzed through grounded theory.
Findings
The characteristics of the core elements of entrepreneurship education pedagogy in American higher education institutions include unified and distinctive teaching content, diverse and practical teaching methods, disciplinary and interdisciplinary curriculum system, professional and inclusive teaching team, procedural and systematic teaching evaluation. More profoundly, entrepreneurship pedagogy in American universities can be conceptualized as a flywheel model, propelled by the significant autonomy of teachers. Teacher autonomy empowers dynamic interactions among teaching content, teaching method, curriculum development and teaching evaluation, facilitating ongoing innovation in American entrepreneurship pedagogy like a rapidly forward-rolling wheel.
Originality/value
This study contributes to a better understanding of the pedagogy of American entrepreneurship education as a mature discipline, which may assist educators in teaching entrepreneurship at the college level. Moreover, a flywheel model of entrepreneurship pedagogy is offered, emphasizing teacher autonomy as a vital but often overlooked role in the development of entrepreneurship education.
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Qiang Sun, Quantong Jiang, Siwei Wu, Chang Liu, Heng Tang, L. Song, Hao Shi, Jizhou Duan and BaoRong Hou
The purpose of this paper is to explore the effect of ZnO on the structure and properties of micro-arc oxidation (MAO) coating on rare earth magnesium alloy under large…
Abstract
Purpose
The purpose of this paper is to explore the effect of ZnO on the structure and properties of micro-arc oxidation (MAO) coating on rare earth magnesium alloy under large concentration gradient.
Design/methodology/approach
The macroscopic and microscopic morphology, thickness, surface roughness, chemical composition and structure of the coating were characterized by different characterization methods. The corrosion resistance of the film was studied by electrochemical and scanning Kelvin probe force microscopy. The results show that the addition of ZnO can significantly improve the compactness and corrosion resistance of the MAO coating, but the high concentration of ZnO will cause microcracks, which will reduce the corrosion resistance to a certain extent.
Findings
When the concentration of zinc oxide is 8 g/L, the compactness and corrosion resistance of the coating are the best, and the thickness of the coating is positively correlated with the concentration of ZnO.
Research limitations/implications
Too high concentration of ZnO reduces the performance of MAO coating.
Practical implications
The MAO coating prepared by adding ZnO has good corrosion resistance. Combined with organic coatings, it can be applied in corrosive marine environments, such as ship parts and hulls. To a certain extent, it can reduce the economic loss caused by corrosion.
Originality/value
The effect of ZnO on the corrosion resistance of MAO coating in electrolyte solution was studied systematically, and the conclusion was new to the common knowledge.