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Traditional grey models are integer order whitening differential models; these models are relatively effective for the prediction of regular raw data, but the prediction error of irregular series or shock series is large, and the prediction effect is not ideal.

The new model realizes the dynamic expansion and optimization of the grey Bernoulli model. Meanwhile, it also enhances the variability and self-adaptability of the model structure. And nonlinear parameters are computed by the particle swarm optimization (PSO) algorithm.

Establishing a prediction model based on the raw data from the last six years, it is verified that the prediction performance of the new model is far superior to other mainstream grey prediction models, especially for irregular sequences and oscillating sequences. Ultimately, forecasting models are constructed to calculate various energy consumption aspects in Chongqing. The findings of this study offer a valuable reference for the government in shaping energy consumption policies and optimizing the energy structure.

It is imperative to recognize its inherent limitations. Firstly, the fractional differential order of the model is restricted to 0 < a < 2, encompassing only a three-parameter model. Future investigations could delve into the development of a multi-parameter model applicable when a = 2. Secondly, this paper exclusively focuses on the model itself, neglecting the consideration of raw data preprocessing, such as smoothing operators, buffer operators and background values. Incorporating these factors could significantly enhance the model’s effectiveness, particularly in the context of medium-term or long-term predictions.

This contribution plays a constructive role in expanding the model repertoire of the grey prediction model. The utilization of the developed model for predicting total energy consumption, coal consumption, natural gas consumption, oil consumption and other energy sources from 2021 to 2022 validates the efficacy and feasibility of the innovative model.

These findings, in turn, provide valuable guidance and decision-making support for both the Chinese Government and the Chongqing Government in optimizing energy structure and formulating effective energy policies.

This research holds significant importance in enriching the theoretical framework of the grey prediction model.

The highlights of the paper are as follows:

1. A novel grey Bernoulli prediction model is proposed to improve the model’s structure.

2. Fractional derivative, fractional accumulating generation operator and Bernoulli equation are added to the new model.

3. The proposed model can achieve full compatibility with the traditional mainstream grey prediction models.

4. Energy consumption in Chongqing verifies that the performance of the new model is much better than that of the traditional grey models.

5. The research provides a reference basis for the government to formulate energy consumption policies and optimize energy structure.

A novel grey Bernoulli prediction model is proposed to improve the model’s structure.

Fractional derivative, fractional accumulating generation operator and Bernoulli equation are added to the new model.

The proposed model can achieve full compatibility with the traditional mainstream grey prediction models.

Energy consumption in Chongqing verifies that the performance of the new model is much better than that of the traditional grey models.

The research provides a reference basis for the government to formulate energy consumption policies and optimize energy structure.

Autonomous underwater vehicle (AUV) is widely used in resource prospection and underwater detection due to its excellent performance. This study considers input saturation, nonlinear model uncertainties and external ocean current disturbances. The containment errors can be limited to a small neighborhood of zero in finite time by employing control strategy. The control strategy can keep errors within a certain range between the trajectory followed by AUVs and their intended targets. This can mitigate the issues of collisions and disruptions in communication which may arise from AUVs being in close proximity or excessively distant from each other.

The tracking errors are constrained. Based on the directed communication topology, a cooperative formation control algorithm for multi-AUV systems with constrained errors is designed. By using the saturation function, state observers are designed to estimate the AUV’s velocity in six degrees of freedom. A new virtual control algorithm is designed through combining backstepping technique and the tan-type barrier Lyapunov function. Neural networks are used to estimate and compensate for the nonlinear model uncertainties and external ocean current disturbances. A neural network adaptive law is designed.

The containment errors can be limited to a small neighborhood of zero in finite time so that follower AUVs can arrive at the convex hull consisting of leader AUVs within finite time. The validity of the results is indicated by simulations.

The state observers are designed to approximate the speed of the AUV and improve the accuracy of the control method. The anti-saturation function and neural network adaptive law are designed to deal with input saturation and general disturbances, respectively. It can ensure the safety and reliability of the multiple AUV systems.

This study assessed the antecedents and consequences of tourists’ authenticity experience in a new ancient town in China. Based on Chinese cultural background and case study, this paper aims to explore this kind of tourism place making and establishes an empirical model to examine and verify the impact of tourists’ perception, authentic experience and behavioral tendency on such place making, and proposes targeted improvement measures.

Based on a Chinese cultural background and case study, this paper explored a certain kind of tourism place making and established an empirical model to examine and verify the impact of tourists’ perceptions, authentic experiences and behavioral tendencies on such place making; the goals were to try to create a new scale to measure the authenticity of the “new ancient town” in the Chinese context and to propose targeted measures for improvement.

Research shows that Chinese visitors acquire experiences that they perceive to be authentic when visiting a contrived attraction such as a new ancient town. The dimensions of cultural, functional, product, value and unique authenticity were identified as distinct dimensions of tourists’ authenticity experiences in a new ancient town. Although these dimensions have been mentioned at times in the context of traditional Western assessments of authenticity, they do not replicate exactly any category of Western objective authenticity, existential authenticity, constructive authenticity or postmodern authenticity. They instead constitute an authentic experiential dimension in a typical oriental context, which is comprehensively explicated by combining the image of a national cultural theme and the elements of functional construction created by tourist places in a new ancient town.

This study explored the path relationship among perception of place making – authenticity experience – behavioral intention, but it did not analyze relationships among the dimensions of perception of place making or among the authenticity experience variables. Furthermore, advantage was not taken of the availability of socioeconomic information to look for differences among interviewees with different attributes. In addition, there is a profound cultural and complex theoretical connotation to authenticity in the Chinese context, and the study of a single case is insufficient to fully elucidate meaning in this emerging discourse.

By verifying the path of tourists’ authenticity experiences through the perception of place making, the understanding of the effects of different elements of place making on tourists’ experiences is refined. For space producers, different elements of place making promote tourists’ authenticity experiences to different degrees. Strengthening the construction of the physical environment, marketing and scenes can promote tourists’ authenticity experiences: planning and design, marketing and scene enhancements promote tourists’ functional authenticity experiences; planning and design, the physical environment and marketing enhance tourists’ product authenticity experiences; planning and design, marketing, the physical environment and scene enhancement can improve tourists’ perceptions of value; unique authenticity experiences can be created in the marketing and scenes in new ancient towns.

Certain aspects of the space production in new ancient towns can be used to strengthen tourists’ perceptions of value. First, the scene system at scenic spots can be strengthened, catering to tourists’ visual, olfactory and other senses so that they are available in all kinds of weather. Second, the local cultural characteristics of the material environment can be strengthened and the installation of inappropriate cultural symbols can be avoided. Thus, a physical environment that is of local ethnic cultural significance can be created so that both local residents and tourists can perceive the value of the place. Third, the rational layout of the new ancient towns should be established and maintained through the ongoing involvement of professional planning and design teams. Local cultural attributes that are of national significance should be included in the layout and design of the physical environment. Fourth, daily marketing and management actions influence how tourists influence scene value. Therefore, managers of scenic places need to make prudent decisions about and integrate local folk and ethnic characteristics into their marketing, which can promote the sustainable development of tourism effectively (Saarinen, 2018).

First, this study constructed and validated the model and path relationship of the “perception of place making, authentic experience, and behavioral intention,” and it confirmed that the perception of place making had an important impact on tourists’ authentic experiences. Second, the exploratory factor analysis extracted five dimensions of the tourist authenticity experience (i.e. cultural, functional, unique, product and value authenticity) based on China’s context of ming shi, which enriched the connotations of the authenticity experience. Third, this study effectively linked the perception of place making with the real experience and behavioral intention of tourists and expanded the theoretical research boundary of place making to a certain extent.

本文以中国文化背景和案例研究为基础, 对“新古镇”旅游的地方营造进行了探讨, 并建立了实证模型。利用SPSS 23.0和Smart PLS 3.0进行数据分析, 检验和验证游客在类似场所的地方营造感知、真实体验和行为意向的路径关系。

以现代技术手段再造（创造）遗产旅游目的地已经成为一个全球性的现象。本文基于中国的文化背景和案例, 考察和验证了游客对地方营造的感知、真实性体验和行为意向的影响, 尝试创造一种新的尺度来衡量在中国语境下“新古镇”的真实性内涵, 并以此提出了针对性的改善措施。

研究表明, 中国游客在参观新古镇等人造景点时, 会获得他们认为真实的体验。文化真实、功能真实、产品真实、价值真实和独特真实是新古镇游客真实性体验的不同维度。它们构成了一个典型东方语境下的真实性内涵, 全面阐述了一个民族文化主题形象与新古镇旅游地方营造功能建设要素的结合。

本研究探讨了地方营造知觉-真实性体验-行为意向之间的路径关系, 但未分析地方营造感知各维度之间及真实性体验变量之间的关系。此外, 没有利用社会经济信息的可用性来寻找不同属性受访者之间的差异。此外, 在中国语境中, 真实性有着深刻的文化内涵和复杂的理论内涵, 仅对单个案例的研究不足以充分阐明这一新兴话题的意义

对于空间生产者来说, 加强物理环境、营销和场景的建设可以促进游客的真实体验:规划设计、营销和场景的增强可以促进游客的功能真实体验;规划设计、物质环境、营销提升游客的产品真实性体验;规划设计、营销、实体环境和场景提升可以提升游客的价值感知;在新古镇的营销和场景中应创造独特的真实性体验。

新古镇地方营造的某些方面可以提升游客的价值感知。首先, 通过迎合游客的视觉、嗅觉和其他感官, 加强景区的场景系统。其次, 可以创造一个具有当地民族文化意义的物质环境, 使当地居民和游客都能感受到这个地方的价值。第三, 通过专业规划设计团队的持续参与, 建立和维护新古镇的合理布局。第四, 日常营销和管理行为影响游客的价值体验。

首先, 本研究构建并验证了“地方营造感知、真实体验与行为意向”的模型和路径关系, 证实了地方营造感知对游客真实体验的重要影响。其次, 基于中国语境, EFA提取了旅游真实性体验的五个维度(文化真实、功能真实、独特真实、产品真实和价值真实), 丰富了真实性体验的内涵。第三, 本研究将游客的地方营造感知、真实体验和行为意向进行了有效地连接。

Basándose en un contexto cultural chino y en un estudio de caso, este artículo exploró la creación de lugares turísticos en la “nueva ciudad antigua” y estableció un modelo empírico. Se utilizaron SPSS 23.0 y Smart PLS 3.0 para el análisis de datos, con el fin de examinar y verificar la relación entre las percepciones de la creación de lugares, las experiencias auténticas y las intenciones de comportamiento de los turistas en dichos lugares.

La recreación moderna de lugares como atracciones turísticas patrimoniales es un fenómeno mundial. Partiendo de un contexto cultural chino y de un estudio de caso, este artículo examina y verifica el impacto de las percepciones de los turistas, las experiencias auténticas y las tendencias de comportamiento en dicha creación de lugares; los objetivos eran intentar crear una nueva escala para medir la autenticidad de la “nueva ciudad antigua” en el contexto chino y proponer medidas específicas de mejora.

La investigación muestra que los visitantes chinos adquieren experiencias que perciben como auténticas cuando visitan una atracción artificial como una nueva ciudad antigua. Las dimensiones de autenticidad cultural, funcional, de producto, de valor y única se identificaron como dimensiones distintas de las experiencias de autenticidad de los turistas en una nueva ciudad antigua. Éstas constituyen una auténtica dimensión experiencial en un contexto típicamente oriental, que se explica de forma exhaustiva combinando la imagen de un tema cultural nacional con los elementos de construcción funcional creados por los lugares turísticos de una nueva ciudad antigua.

Este estudio exploró la relación entre la percepción de la creación de lugares, la experiencia de autenticidad y la intención de comportamiento, pero no analizó las relaciones entre las dimensiones de la percepción de la creación de lugares, ni entre las variables de la experiencia de autenticidad. Además, no se aprovechó la disponibilidad de información socioeconómica para buscar diferencias entre entrevistados con distintos atributos. Adicionalmente, en el contexto chino, la autenticidad tiene profundas connotaciones culturales y teóricas complejas, y el estudio de un solo caso no basta para dilucidar plenamente la importancia de este tema emergente.

Para los productores de espacios, reforzar la construcción del entorno físico, el marketing y las escenas puede promover las experiencias de autenticidad de los turistas: la planificación y el diseño, el marketing y la mejora de las escenas promueve las experiencias de autenticidad funcional de los turistas; la planificación y el diseño, el entorno físico y el marketing mejoran las experiencias de autenticidad de los productos de los turistas; la planificación y el diseño, el marketing, el entorno físico y la mejora de las escenas pueden mejorar la percepción de valor de los turistas; se pueden crear experiencias de autenticidad únicas en el marketing y las escenas de las nuevas ciudades antiguas.

Ciertos aspectos de la creación de lugares en las nuevas ciudades antiguas pueden mejorar la percepción de valor de los turistas. En primer lugar, puede reforzarse el sistema escénico de los lugares de interés, atendiendo a los sentidos visuales, olfativos y de otro tipo de los turistas. En segundo lugar, se puede crear un entorno físico que tenga un significado cultural étnico local para que tanto los residentes locales como los turistas puedan percibir el valor del lugar. En tercer lugar, el trazado racional de las nuevas ciudades antiguas debe establecerse y mantenerse mediante la participación continua de equipos profesionales de planificación y diseño. En cuarto lugar, las acciones diarias de marketing y gestión influyen en la experiencia de valor del turista.

En primer lugar, este estudio construyó y validó el modelo y la relación entre la “percepción de la creación de lugares, la experiencia auténtica y la intención de comportamiento,” lo que confirmó la importante influencia de la percepción de la creación de lugares en la experiencia auténtica de los turistas. En segundo lugar, basándose en el contexto chino, el análisis factorial exploratorio extrajo cinco dimensiones de la experiencia de autenticidad turística (autenticidad cultural, funcional, única, del producto y del valor), que enriquecieron las connotaciones de la experiencia de autenticidad. En tercer lugar, este estudio vinculó eficazmente las percepciones de los turistas sobre la creación de lugares, con la experiencia real y con las intenciones de comportamiento de los turistas.

Revenue management (RM) is a significant technique to improve revenue with limited resources. With the macro environment of dramatically increasing transit capacity and rapid railway transport development in China, it is necessary to involve the theory of RM into the operation and decision of railway passenger transport.

This paper proposes the theory and framework of generalized RM of railway passenger transport (RMRPT), and the thoughts and methods of the main techniques in RMRPT, involving demand forecasting, line planning, inventory control, pricing strategies and information systems, are all studied and elaborated. The involved methods and techniques provide a sequential process to help with the decision-making for each stage of RMRPT. The corresponding techniques are integrated into the information system to support practical businesses in railway passenger transport.

The combination of the whole techniques devotes to railway benefit improvement and transit resource utilization and has been applied into the practical operation and organization of railway passenger transport.

The development of RMRPT would provide theoretical and technical support for the improvement of service quality as well as railway benefits and efficiency.

This chapter discusses how the real options theory can be useful for understanding the adoption of human resources management (HRM) practices. The authors review how the real options theory has provided insights into the processes through which firms manage uncertainties involved in the adoption of HRM practices. The authors offer propositions for future HRM research from the real options perspective. The authors contend that analyzing HRM practice adoptions through the lens of real options theory can enhance our understanding of the mechanisms through which firms choose which HRM practices to adopt and how they adjust the timing, scale, and methods of investment in these practices. Specifically, the authors suggest that differences in information relevant to valuation of HRM options are the source of distinct choices of HRM options across firms. Finally, the authors propose advancing knowledge on HRM practice adoptions by using a portfolio of options approach, as well as considering factors like competitors, path dependence, and switching options.

Prior studies have found that managers adjust operational activities to tackle climate risk. However, the effects of climate risk on accounting practices are largely ignored in the literature. This paper investigates whether and how climate risk influences managers’ decision-making on the level of accounting conservatism and explains the results based on two competing channels: valuation demand and contracting demand.

Using firm level climate risk measures, we build a modified Basu (1997) model to conduct our econometric tests. In the baseline model, we use earnings before extraordinary items as the dependent variable, referred to as the earnings model. We control for different levels of fixed effect to identify the shocks of climate risk and mitigate potential concerns on endogeneity and bias in the model. A series of robustness tests provide supporting evidence for our baseline results and our explanation.

Using a sample of 35,832 firm-year observations on listed US firms over the period 2002 to 2019, we find that the perception of climate risk drives managers to choose the less conservative accounting policies. We conclude that the results are consistent with the valuation demand explanation but inconsistent with the contracting demand explanation.

The study provides additional evidence on how managers respond to climate risk by adjusting their corporate polices, specifically accounting policies. Our findings contradict the results of prior studies. We explain our results from a unique perspective. Overall, the study provides valuable insights for academics, investors, managers and policymakers.

In typical model-based calibration, linearization errors are derived inevitably, and non-negligible negative impact will be induced on the identification results if the rotational kinematic errors are not small enough or the lengths of links are too long, which is common in the industrial cases. Thus, an accurate two-step kinematic calibration method minimizing the linearization errors is presented for a six-DoF serial robot to improve the calibration accuracy.

The negative impact of linearization on identification accuracy is minimized by removing the responsible linearized kinematic errors from the complete kinematic error model. Accordingly, the identification results of the dimension-reduced new model are accurate but not complete, so the complete kinematic error model, which achieves high identification accuracy of the rest of the error parameters, is combined with this new model to create a two-step calibration procedure capable of highly accurate identification of all the kinematic errors.

The proportions of linearization errors in measured pose errors are quantified and found to be non-negligible with the increase of rotational kinematic errors. Thus, negative impacts of linearization errors are analyzed quantitatively in different cases, providing the basis for allowed kinematic errors in the new model. Much more accurate results were obtained by using the new two-step calibration method, according to a comparison with the typical methods.

This new method achieves high accuracy with no compromise on completeness, is easy to operate and is consistent with the typical method because the second step with the new model is conveniently combined without changing the sensors or measurement instrument setup.

The aim of this study is to assess the mediating effect of source appearance (SA) and self-influencer congruence (SIC) on the relationship between visual content (VC) and customer engagement (CE) towards mobile advertisement.

This study uses a quantitative approach to test the proposed model based on the stimulus–organism–response (SOR) theory. The non-probability purposive sampling technique was used to collect data from Pakistani mobile users through a self-administered questionnaire.

The study results prove that VC alone cannot generate mobile users’ engagement. SA is the key in this regard, which has a relatively higher importance compared to SIC. Furthermore, the serial mediation effect of SA and SIC on CE shows that attractive sources are likely to induce higher SIC and subsequent CE.

The results reveal that without a pleasing SA and positive SIC, mobile users skip the ads by perceiving them to be irritating or interruptive. Mobile ads might cost relatively less, but the advertisers should understand the significance of the SA toward minimizing the mobile advertising skepticism.

Advertisers can enhance the user’s engagement on mobile devices by addressing both the SA and SIC in their VC. The combined effect of both the SA and SIC on CE has not been assessed before. Furthermore, this study has used the SOR mechanism to examine CE.

El objetivo general de esta investigación es evaluar el efecto mediador de la apariencia de la fuente (SA) y la congruencia del auto-influencer (SIC) en la relación entre el contenido visual (CV) y el compromiso del cliente (CE) hacia la publicidad móvil.

Este estudio utiliza un enfoque cuantitativo para probar el modelo propuesto basado en la teoría estímulo-organismo-respuesta (SOR). Se utilizó la técnica de muestreo intencional no probabilístico para recoger datos de usuarios de móviles paquistaníes mediante un cuestionario autoadministrado.

Nuestros resultados demuestran que el contenido visual por sí solo no puede generar el compromiso de los usuarios de móviles. La apariencia de la fuente es la clave a este respecto, que tiene una importancia relativamente mayor en comparación con la congruencia del auto-influencer. Además, el efecto de mediación en serie de SA y SIC en CE muestra que es probable que las fuentes atractivas induzcan un mayor SIC y el consiguiente compromiso del cliente.

Los resultados revelan que sin una SA agradable y una SIC positiva, los usuarios de móviles omiten los anuncios al percibirlos como irritantes o interruptores. Los anuncios para móviles pueden costar relativamente menos, pero los anunciantes deben comprender la importancia de la apariencia de la fuente para minimizar el escepticismo de la publicidad móvil.

Los anunciantes pueden mejorar la participación del usuario en los dispositivos móviles abordando tanto la AS como el SIC en sus contenidos visuales. Hasta ahora no se había evaluado el efecto combinado de la AS y el SIC en el CE. Además, este estudio ha utilizado el mecanismo del SOR para examinar el engagement del cliente.

本研究的总体目标是评估源外观（SA）和自我影响者一致性（SIC）对移动广告视觉内容（VC）和客户参与（CE）之间关系的中介效应。

本研究采用定量方法来检验基于刺激-有机体-反应（SOR）理论提出的模型。研究采用了非概率目的性抽样技术, 通过自填问卷的方式向巴基斯坦移动用户收集数据。

我们的研究结果证明, 仅靠视觉内容并不能引起移动用户的参与。在这方面, 源外观是关键, 与自我影响者一致性相比, 源外观的重要性相对更高。此外, SA 和 SIC 对 CE 的串联中介效应表明, 有吸引力的信息源可能会诱发更高的 SIC 和随后的客户参与。

研究结果表明, 如果没有令人愉悦的SA和积极的SIC, 移动用户就会认为广告具有刺激性或干扰性, 从而跳过广告。移动广告的成本可能相对较低, 但广告商应了解广告源外观对减少移动广告怀疑的重要性。

广告商可以通过在视觉内容中同时考虑广告联盟和广告投放中心这两个因素, 提高用户在移动设备上的参与度。之前从未有人评估过 “SA “和 “SIC “对消费者参与度的综合影响。此外, 本研究还使用了 SOR 机制来考察客户参与度。

Along with the national government's expectation transformation, administrative system reform, economic transition, social demand structure's upgrading and population change, these negative effects are turning increasingly obvious and thus become huge powers that push the reform of traditional elite sports development mode forward. Against this background, in order to make this reform better adapted to China's reality and future development, the chapter suggests that Chinese traditional elite sports development mode should shift its driving forces of development from single to multiple, change its administrative system from government-oriented to society-oriented, develop its training concepts from instrumentalism to humanism, improve its construction of development from unbalanced to balanced and alter its effectiveness of development from extensive to intensive so as to achieve sustainable development.

Social commerce (s-commerce) offers community-based platforms that facilitate customer-to-customer interactions and the development of customers' social shopping-based experience. While prior research has addressed the role of customer engagement (CE) in boosting s-commerce-based sales and performance, insight into the effect of s-commerce attributes on CE remains tenuous. Addressing this gap, this study examines the role of specific s-commerce attributes (i.e. community, collaboration, interactivity and social dynamics) on CE, which is, in turn, proposed to impact customers' repurchase- and electronic word of mouth (eWOM) intention.

A web-based survey was deployed to target users of a popular s-commerce platform, Etsy.com. Partial least squares structural equation modeling (PLS-SEM) was, then, used to analyze the survey data collected from 390 users.

The results reveal that the four examined attributes positively affect CE. The findings also demonstrate CE's positive effect on customers' repurchase- and eWOM intention.

Though CE has been identified as a key s-commerce performance indicator, little remains known about the role of specific s-commerce attributes in driving CE, as, therefore, explored in this research. Specifically, the authors examine the role of s-commerce-based community, collaboration, interactivity and social dynamics on CE. Their analyses also corroborate that CE, in turn, drives customers' post-purchase (i.e. repurchase/eWOM) intention. Managerially, our findings can be used to develop more engaging s-commerce platforms.