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The three-dimensional arrangement structure of the conductive fiber is an important factor of the shielding effectiveness of the electromagnetic shielding fabric (EMSF). However, until now, the three-dimensional arrangement structure has not been described because of the complex structure, which leads to many difficulties for the subsequent analysis of the electromagnetic characteristics. Therefore, the purpose of this paper is to propose a feature extraction method to describe the arrangement structure of the conductive fiber based on the three-dimensional calibration and image processing technology, providing a new idea for the above problem.

First, the three-dimensional positions of the conductive fibers in the EMSF are calibrated using the VHX-600 3D digital microscope and the MATLAB7.5 software. The arrangement characteristics of the conductive fibers are analyzed, and equivalent twist, cross-sectional content, and average angle of a single fiber are proposed to describe the arrangement characteristic of the conductive fiber. Then, a digital description model of the conductive fiber is constructed according to the feature parameters and its three-dimensional structures are reproduced using CATIA. Finally, the reliability of the model is verified by an FDTD example, and the significance and application of the model are given.

The proposed method can provide the feature extraction and description for the complex spatial three-dimensional arrangement structure of conductive fibers. The feature parameters can reflect different micro arrangement features of the conductive fiber. The proposed idea and method can provide a solid foundation for subsequent studies of the electromagnetic properties of the EMSF.

The study in this paper is of great significance and academic value. This paper provides a new three-dimensional calibration method and constructs multiple feature parameters to describe the complex three-dimensional arrangement structure, providing a new effective method to overcome the problem of the conductive fiber description. The proposed method provides an important basis for the shielding mechanism, transmission characteristics, electromagnetic calculation and product design, and woven technology of the EMSF.

The purpose of this paper is to propose a new system frame named ACPI for research and development (R&D) management of complex equipments according to the ideas of artificial societies, computational experiments, parallel execution and interactive optimization.

An artificial system which can effectively model, simulate and recur the main features and behaviors of a real R&D system of complex equipment is established at first. The structure and function of the system and its subsystems, and the relation of factors in the system are analyzed. Then one can perform computation experiment, modeling and simulation in the artificial system to obtain the optimal solutions. Finally, practice these solutions in a real system and at the same time perform the solutions in artificial system, forecasting and warning the possible new situations and problems in a realistic process, and provide controlling scheme.

The typical characteristics and solutions of the R&D system of complex equipment are analyzed. The sketch scheme of ACPI, the system frame of ACPI for R&D management of complex equipments are proposed, and the key technologies used in implementing ACPI of R&D system of complex equipment are studied.

The outcome of this paper can be used in computation experiments, management and optimization of R&D systems of complex equipment.

The sketch scheme of ACPI, the system frame of ACPI for R&D management of complex equipments are proposed first. The ACPI system can supply a high‐performance, open and interactive platform for the analog simulation and computation experiments of the R&D process management of complex equipment.

This study aims to explore the factors influencing the post-pandemic intentions of Chinese residents to participate in outbound travel. The mechanism by which residents' perception of the coronavirus disease (COVID-19) influenced their outbound travel intentions are studied.

This study developed an extended theory of planned behavior (TPB) model and used structural equations to analyze data received from 432 questionnaires. Responses were obtained through a combination of online surveys and a traditional paper-based distribution of questionnaires.

Results showed that attitude, subjective norms, perceived behavioral control and past outbound travel behavior have significant positive effects on post-pandemic outbound travel intentions. Although the perception of COVID-19 directly and negatively influences outbound travel intentions, it also has an indirect influence on outbound travel intentions through the mediating effect of non-pharmaceutical interventions. The authors also found that risk tolerance has a negative moderating effect on the direct impact of residents' perception of COVID-19 on their travel intentions.

The findings can serve as a reference for formulating appropriate tourism development policies by government agencies, tourism management departments and tourism enterprises in destination countries.

This study developed an extended TPB model by adding more constructs into the TPB model. Compared with the original TPB model, the extended TPB model has better explanatory power of post-pandemic travel intentions. The study also provides evidence for the applicability of the TPB model in studying travel intentions within the context of major public health emergencies and has expanded the application scope of the TPB model.

新冠肺炎疫情后中国居民出境旅游意愿的影响因素研究······································——基于疫情感知的扩展TPB模型

摘要

本研究致力于探索新冠肺炎疫情后（以下简称“疫情”）中国居民出境旅游意愿的影响因素, 以及疫情感知对出境旅游意愿的作用机制。

本文以TPB理论为基础, 通过构建扩展TPB模型, 并利用结构方程对432份问卷进行数据分析。问卷通过网络发放与传统纸质问卷调研相结合的方式获得。

态度、主观规范、感知行为控制及过去出境旅游行为对中国居民疫情后出境旅游意愿具有显著正向影响; 疫情感知在直接负向影响出境旅游意愿的同时, 还通过非药物干预行为的中介作用间接影响出境旅游意愿; 在疫情感知对出境旅游意愿的直接影响中, 风险容忍度起着负向调节作用。

研究结果对旅游目的地政府、旅游管理部门及旅游企业制定相应旅游发展政策具有一定前瞻性参考价值。

本文通过在原始TPB模型的基础上加入更多变量, 进而构建了扩展TPB模型。与原始模型相比, 扩展TPB模型对疫情蔓延背景下中国居民疫情后出境旅游意愿有着更好的解释力和预测力。本文证实了在突发重大公共卫生事件背景下TPB模型对于研究旅游意愿的适用性, 扩展了TPB模型的应用范围。

Investigación sobre los factores que influyen en la voluntad de viajar al extranjero de los residentes chinos después de la nueva epidemia de neumonía coronaria: un modelo extendido de TPB basado en la percepción de la epidemia

Resumen

Este estudio tiene como objetivo explorar los factores que influyen en las intenciones posteriores a la pandemia de los residentes chinos de participar en viajes al extranjero. Se estudia el mecanismo por el cual la percepción de los residentes sobre la enfermedad por coronavirus (COVID-19) influyó en sus intenciones de viajar al extranjero.

Este estudio tiene como objetivo explorar los factores que influyen en la intención de viaje de salida de los residentes chinos después de la pandemia, en particular el mecanismo por el cual la percepción de los residentes de COVID-19 influyó en sus intenciones de viaje de salida.

Los resultados mostraron que la actitud, las normas subjetivas, el control conductual percibido y el comportamiento de viajes de ida y vuelta en el pasado tienen efectos positivos significativos sobre la intención de viajar de ida después de la pandemia. Si bien la percepción de COVID-19 influye directamente de forma negativa en la intención de viaje de ida, también influye indirectamente en la intención de viaje de ida a través del efecto mediador de las intervenciones no farmacéuticas. También encontramos que la tolerancia al riesgo tiene un efecto moderador negativo sobre el impacto directo de la percepción de los residentes sobre el COVID-19 en la intención de viaje.

Nuestros hallazgos se pueden utilizar como referencia para las agencias gubernamentales, los departamentos de gestión del turismo y las empresas turísticas en los países de destino en la formulación de políticas de desarrollo turístico adecuadas.

Este estudio desarrolló un modelo TPB extendido agregando más constructos en el modelo TPB. En comparación con el modelo TPB original, el modelo TPB extendido tiene un mejor poder explicativo de las intenciones de viaje posteriores a una pandemia en el contexto de una pandemia. Este estudio también proporcionó evidencia de la aplicabilidad del modelo TPB para estudiar las intenciones de viaje en el contexto de las principales emergencias de salud pública y amplió el ámbito de aplicación del modelo TPB.

Despite the increasing relevance of seamless shopping experience in an omnichannel context, research on how seamless shopping experience affects customers’ word of mouth on social media (sWOM) remains scant. Based on the attribution theory, this study aims to investigate the effects of seamless shopping experience types on customers’ sWOM intentions from the perspective of smart-shopping feelings and validated the moderation role of shopping orientation.

Using a data set of 301 omnichannel customers, three scenario-based experiments were conducted to address the research questions.

An efficient and interconnected experience is more likely to positively affect sWOM intentions than an inefficient but interconnected experience. Furthermore, smart-shopping feelings were found to have a significant mediating effect. For experiential-oriented shoppers, the positive relationship between an efficient and interconnected experience, smart-shopping feelings and sWOM intentions was significantly strengthened.

This research contributes to the sWOM and omnichannel service experience literature by investigating the influences of seamless shopping experience types on customers’ sWOM intentions. This research also provides recommendations for designing and delivering a superior, seamless shopping experience for omnichannel shoppers.

Although buy-online-and-pick-up-in-store (BOPS) has been widely implemented by companies, scant attention has been paid to its effect on consumer experience and the concomitant outcomes. Using the psychological ownership theory, this study aims to examine whether and how the BOPS experience (vs online experience) can enhance consumer loyalty.

Study 1 investigated the consumer loyalty of shopping experience (self-pickup vs delivery) on actual consumer behavior through secondary data. Studies 2, 3 and 4 were controlled experiments to further investigate the mediating effect of product psychological ownership, and the moderating effects of product type and postdecision experience valence.

The authors found that BOPS shopping led to higher consumer loyalty (i.e. repeat purchase and repeat purchase frequency) compared with online shopping. Furthermore, the authors examined that this effect was mediated by product psychological ownership and moderated by product type and postdecision experience valence.

Theoretical speculations about how BOPS shopping affects consumer experience should be probed in future research.

Retailers with physical stores can offer in-store pickup options for their online consumers to increase their product psychological ownership and consumer loyalty. And the positive effects of the BOPS strategy relied on product type and postdecision experience valence.

This research offers theoretical contributions to research on the BOPS strategy, psychological ownership theory and consumer loyalty.

The purpose of this paper is twofold: to improve the traditional conditional autoregressive Wishart (CAW) and heterogeneous autoregressive (HAR)-CAW model to account for heterogeneous leverage effect and to adjust the high-frequency volatility. The other is to confirm whether CAW-type models that have statistical advantages have economic advantages.

Based on the high-frequency data, this study proposed a new model to describe the volatility process according to the heterogeneous market hypothesis. Thus, the authors acquire needed and credible high-frequency data.

By designing two mean-variance frameworks and considering several economic performance measures, the authors find that compared with five other models based on daily data, CAW-type models, especially LHAR-CAW and HAR-CAW, indeed generate the substantial economic values, and matrix adjustment method significantly improves the three CAW-type performances.

The findings in this study suggest that from the aspect of economics, LHAR-CAW model can more accurately built the dynamic process of return rates and covariance matrix, respectively, and the matrix adjustment can reduce bias of realized volatility as covariance matrix estimator of return rates, and greatly improves the performance of unadjusted CAW-type models.

Compared with traditional low-frequency models, investors should allocate assets according to the LHAR-CAW model so as to get more economic values.

This study proposes LHAR-CAW model with the matrix adjustment, to account for heterogeneous leverage effect and empirically show their economic advantage. The new model and the new bias adjustment approach are pioneering and promote the evolution of financial econometrics based on high-frequency data.

This research aims to improve the performance of rail fastener defect inspection method for multi railways, to effectively ensure the safety of railway operation.

Firstly, a fastener region location method based on online learning strategy was proposed, which can locate fastener regions according to the prior knowledge of track image and template matching method. Online learning strategy is used to update the template library dynamically, so that the method not only can locate fastener regions in the track images of multi railways, but also can automatically collect and annotate fastener samples. Secondly, a fastener defect recognition method based on deep convolutional neural network was proposed. The structure of recognition network was designed according to the smaller size and the relatively single content of the fastener region. The data augmentation method based on the sample random sorting strategy is adopted to reduce the impact of the imbalance of sample size on recognition performance.

Test verification of the proposed method is conducted based on the rail fastener datasets of multi railways. Specifically, fastener location module has achieved an average detection rate of 99.36%, and fastener defect recognition module has achieved an average precision of 96.82%.

The proposed method can accurately locate fastener regions and identify fastener defect in the track images of different railways, which has high reliability and strong adaptability to multi railways.

This study aims to explore the relationships among destination brand equity, brand authenticity and revisit intention. The mediating role of tourist satisfaction and the moderating role of destination familiarity in these relationships are also investigated.

Based on the stimulus–organism–response theory, a structural equation model was constructed to test the relationships among the study variables. The original data was obtained using a questionnaire survey method from domestic tourists who have traveled to Guilin in China.

The findings revealed that brand equity and brand authenticity not only positively and directly affect revisit intention but also have an indirect influence on revisit intention through the mediating role of tourist satisfaction. Destination familiarity positively moderates the direct influence of brand equity on revisit intention. Furthermore, brand authenticity significantly and positively affects brand equity.

The findings of this study provide a certain enlightenment for brand marketing and tourist destination management.

This study reveals the impact path of brand equity and brand authenticity on revisit intention, compensating for the lack of attention on impact mechanism among them. This study proves the impact of brand authenticity on destination brand equity. This compensates for the deficiencies that ignore possible antecedents affecting destination brand equity and the impact of brand authenticity on brand equity in the context of tourism destination. This study also confirms the specific dimensions of brand equity and brand authenticity in the context of Chinese tourism destinations in response to the current controversy.

旅游目的地品牌资产、品牌真实性与重游意愿: 游客满意度的中介作用与目的地熟悉度的调节作用

摘要

本研究致力于探究旅游目的地品牌资产、品牌真实性与重游意愿之间的关系。本文也研究了游客满意度在这些关系中所起的中介作用以及目的地熟悉度的调节作用。

本文以刺激-机体-反应理论为基础, 通过构建结构方程模型来对变量之间的关系进行检验。原始数据是通过问卷调查法从曾在桂林旅游的国内游客中获得。

目的地品牌资产和品牌真实性在直接正向影响重游意愿的同时, 还通过游客满意度的中介作用来间接影响重游意愿。目的地熟悉度在品牌资产对重游意愿的直接影响中起着正向调节作用。此外, 目的地品牌真实性对品牌资产起着显著正向影响。

本研究揭示了目的地品牌资产与品牌真实性对重游意愿的影响路径, 弥补了对其中影响机制关注不足的缺陷。本研究证实了旅游目的地背景下品牌真实性对品牌资产的具体影响, 弥补了现有文献较少关注影响目的地品牌资产的可能前因以及旅游目的地背景下品牌真实性对品牌资产具体影响的不足。此外, 本研究以中国旅游目的地为研究背景, 证实了品牌资产与品牌真实性的具体维度, 回应了当前的争议。

本研究结论对旅游目的地品牌营销与管理提供一定的启示。

Valor de marca de destino turístico, autenticidad de marca y voluntad de volver a visitar：El papel mediador de la satisfacción del turista y el papel moderador de la familiaridad con el destino

Resumen

este estudio tiene como objetivo explorar las relaciones entre el valor de la marca de destino, la autenticidad de la marca y la intención de volver a visitar. También se investiga el papel mediador de la satisfacción del turista y el papel moderador de la familiaridad con el destino en estas relaciones.

con base en la teoría Estímulo-Organismo-Respuesta, se construye un modelo de ecuación estructural para probar las relaciones entre las variables de investigación. Los datos originales se obtienen mediante el método de encuesta por cuestionario de turistas nacionales que han viajado a Guilin en China.

los hallazgos revelaron que el valor y la autenticidad de la marca no solo afectan positiva y directamente la intención de volver a visitar, sino que también tienen una influencia indirecta en la intención de volver a visitar a través del papel mediador de la satisfacción del turista. La familiaridad con el destino modera positivamente la influencia directa del valor de la marca en la intención de volver a visitar. Además, la autenticidad de la marca afecta de manera significativa y positiva al valor de la marca.

este documento revela el camino del impacto del valor de marca y la autenticidad de la marca en la intención de volver a visitar, compensando la falta de atención al mecanismo de impacto entre ellos. Este trabajo demuestra el efecto de la autenticidad de la marca en el valor de la marca del destino, que compensa las deficiencias que ignoran los posibles antecedentes que afectan el valor de la marca del destino y el impacto de la autenticidad de la marca en el valor de la marca en el contexto del destino turístico. Este estudio también confirma las dimensiones específicas del valor de marca y la autenticidad de la marca en el contexto del destino turístico chino, respondiendo a la controversia actual.

los hallazgos de este documento proporcionan cierta iluminación para el marketing de marca y la gestión de destinos turísticos.

The increasing popularity of ERP solutions has provided dietary supplement manufacturing companies with modules to manage pricing and inventory. However, the decisions made by these modules are often independent and rely on deterministic forecasts. This paper studies a multi-product dietary supplement manufacturing system under stochastic demands. The purpose is to maximize the long-run expected profit by jointly considering pricing and inventory strategies.

The authors investigate both the general cases and three special cases including stable demand, negligible backlog and instantaneous replenishment. A two-stage algorithm named PAS is proposed. In the strategy construction stage, the constructed objective bounds are combined to provide estimates which then help to derive the optimal product prices. In the system operation stage, replenishment decisions are further made based on the prices generated from the previous stage.

It is proved that base-stock policy is optimal for the studied system, and the optimal based-stock level is provided. The global optimal strategies are obtained for three important special cases. For the general case, theoretical objective bounds are established. These bounds provide quick and reliable performance estimates for practical applications.

Very few studies have jointly considered pricing and inventory strategies with uncertainty demands in the dietary supplement industry. The PAS algorithm developed integrates these decisions and consistently generates high-quality solutions even under highly varying demands. Such algorithm could be a valuable add-on to the pricing and inventory management modules in ERP systems.