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The objective of this paper is to quantitatively assess shear band evolution by using two-dimensional discrete element method (DEM).

The DEM model was first calibrated by retrospectively modelling existing triaxial tests. A series of DEM analyses was then conducted with the focus on the particle rotation during loading. An approach based on particle rotation was developed to precisely identify the shear band region from the surrounding. In this approach, a threshold rotation angle ω₀ was defined to distinguish the potential particles inside and outside the shear band and an index g(ω₀) was introduced to assess the discrepancy between the rotation response inside and outside shear band. The most distinct shear band region can be determined by the ω₀ corresponding to the peak g(ω₀). By using the proposed approach, the shear band development of two computational cases with different typical localised failure patterns were successfully examined by quantitatively measuring the inclination angle and thickness of shear band, as well as the microscopic quantities.

The results show that the shear band formation is stress-dependent, transiting from conjugated double shear bands to single shear band with confining stress increasing. The shear band evolution of two typical localised failure modes exhibits opposite trends with increasing strain level, both in inclination angle and thickness. Shear band featured a larger volumetric dilatancy and a lower coordination number than the surrounding. The shear band also significantly disturbs the induced anisotropy of soil.

This paper proposed an approach to quantitatively assess shear band evolution based on the result of two-dimensional DEM modelling.

The purpose of this paper is to explore trading strategies that exploit investors’ anchoring bias.

This paper forms portfolios based on nearness ratio and other anomaly variables under one- and two-way sorts. The portfolio return series are then regressed on Fama and French three factors to extract abnormal returns.

First is to use anchoring as a technical signal. A strategy that trades against anchoring buys stocks with prices near their 52-week high and sells stocks with prices far below their 52-week high. Based on deciles, the strategy generates a significant value-weighted monthly α of 1.13 percent, after accounting for the market, size, and value factors. Further, the strategy is profitable among both large and small stocks; the trading profit is higher among younger firms and more volatile stocks, but is similar between subsamples formed on number of analysts, level of institutional ownership, and number of institutional owners. The strategy is more profitable following periods of high investor sentiment. Second is to combine anchoring with known anomalies. For a broad set of 26 anomalies, a trading strategy that combines anchoring with the anomalies increases the value-weighted monthly α from an average of 0.61 percent to an average of 1.38 percent. While part of the profits can be attributed to momentum, momentum itself does not explain all the profits.

This paper presents empirical evidence that anchoring bias explains the profitability of a broad set of anomalies and describes practical trading strategies that exploit the anchoring bias.

Airbnb attempts to stimulate consumer imagination and expectations of home through storytelling before their stay. The purpose of this study is to gain a holistic understanding of the psychological mechanisms by which brand storytelling can evoke consumer imagination of home away from home and their choice of peer-to-peer (P2P) accommodations.

By collecting 864 valid questionnaires through two rounds of surveys with Chinese consumers, this study examined the structural relations between narrative elements in the brand story (home characteristics, social interactions in advertising, advertising features), brand perception, self-image congruence and consumption intentions.

The results demonstrate that home characteristics, social interactions in advertising, and advertising features positively influence people’s brand perceptions, self-image congruence and consumption intentions through mental imagery processing.

This study offers helpful implications on how to create a home feeling in P2P accommodations and provides recommendations to promote the connection between consumers and the brand for P2P accommodation providers and hoteliers.

This study reveals the underlying mechanism of how various narrative elements in brand stories inspire the imagination and feeling of home in consumers during the prestay phase. By analysing the impact of specific trust systems and emotional needs on the construction of a feeling of home, this study is an important complement to existing studies on the study of home in P2P accommodation.

This study aims to explore how tourists construct destination images in the context of dark tourism and reveals the relationships between on-site experience, destination image and behavioural intention.

The earthquake-ravaged county town of Beichuan in China was chosen as the study site. The study collected 298 viable questionnaires from tourists. Partial least squares structural equation modelling was performed to explore the relationships between the variables of on-site experience, destination image and behavioural intention.

The study identified four dimensions of dark tourism destination image (TDI) from its attribute and functional perspective. It found that “image of memorial place” and “image of educational place” were the most perceptual images and positively related with most subdimensions of on-site experience and behavioural intention. “Image of leisure place” and “image of landscapes of fear” were less perceived by tourists and negatively related with some subdimensions of on-site experience and behavioural intention.

To our knowledge, this study is the first attempt to explore the complex mechanisms of dark TDI formation with the framework of “on-site experiences–destination images–behavioural intentions”. By identifying tourists’ most and least perceptual images and their effective antecedents and consequences help to reconcile and manage the controversial and contradictory images of a dark tourism destination.

本文探讨了游客如何建构黑色旅游目的地形象, 进一步研究了游客现场体验、目的地形象、行为意愿之间的作用关系。

以汶川地震重灾区北川老县城遗址为案例地, 本研究收集了游客结构化问卷298份, 采用偏最小二乘结构方程模型（PLS-SEM）分析了游客现场体验、目的地形象和行为意愿各维度之间的作用关系。

从目的地属性和功能角度, 本文区分了黑色旅游目的地形象四个维度。研究发现“纪念地形象”和“教育地形象”是游客感知最强的两大维度, 与绝大多数游客现场体验和行为意愿的维度呈显著正向影响关系。 “休闲地形象”和“恐惧景观形象”, 游客感知较弱, 与现场体验和行为意向的一些维度呈负向影响关系。

本文首次利用“现场体验-目的地形象-行为意愿”这一研究框架, 揭示黑色旅游目的地形象的复杂生成机制。通过识别游客感知最强和最弱的形象维度, 揭示其前因与后果, 有助于调和与管理有争议和矛盾的黑色旅游目的地形象。

Este estudio explora cómo los turistas construyen la imagen del destino en el contexto del turismo oscuro, revelando las relaciones entre experiencias en el lugar, imágenes del destino e intenciones de comportamiento.

El terremoto que devastó la ciudad del condado de Beichuan en China fue elegido lugar de estudio por sus peculiaridades para el desarrollo del destino oscuro. El estudio recopiló 298 cuestionarios viables de turistas. Se planteo un modelo de ecuaciones estructurales (PLS-SEM) para explorar las relaciones entre las variables de experiencias en el lugar, imágenes de destino e intenciones de comportamiento.

El estudio identificó cuatro dimensiones de la imagen del destino turístico oscuro desde su atributo y perspectiva funcional. De igual forma, se encontró que la “imagen del lugar conmemorativo” y la “imagen del lugar educativo” eran las imágenes más perceptivas y estaban relacionadas positivamente con la mayoría de los subdimensiones de las experiencias en el lugar e intenciones de comportamiento. Los turistas percibieron menos la “imagen de un lugar de ocio” y la “imagen de paisajes de miedo” y se relacionaron negativamente con algunos subdimensiones de las experiencias en el lugar e intención de comportamiento.

Hasta donde sabemos, este estudio es el primer intento de explorar el complejo mecanismo en la formación de TDIs oscuros con el marco de “experiencias en el lugar- imágenes de destino – intenciones de comportamiento”. Al identificar las imágenes más o menos perceptivas de los turistas, y sus antecedentes y consecuencias efectivos, ayuda a conciliar y gestionar las imágenes controvertidas y contradictorias de un destino turístico oscuro.

The purpose of this paper is to form a numerical simulation method for permeability coefficient that can consider the characteristics of gravel gradation and further explore the effects of indoor test factors and gradation characteristics on the permeability coefficient of gravel.

The random point method is used to establish the polyhedral gravel particle model, the discrete element method (DEM) is used to construct the gravel permeability test sample with gradation characteristics and the finite element method is used to calculate the permeability coefficient to form a DEM-computational fluid dynamics combined method to simulate the gravel seepage characteristics. Then, verified by the indoor test results. Based on this method, the influence of sample size, treatment method of oversize particles and the content of fine particles on the permeability coefficient of gravel is studied.

For the gravel containing large particles, the larger size permeameter should be used as far as possible. When the permeameter size is limited, the equal weight substitution method is recommended for the treatment method of oversized particles. Compared with the porosity, the pore connectivity has a higher correlation with the permeability coefficient of the sample.

Insufficient consideration of the movement of gravel particles in the seepage process is also an issue for further study.

The simulation method described in this paper is helpful for qualitative analysis, quantitative expression of pore size and makes up for the defect that the seepage characteristics in pores cannot be observed in laboratory tests.

The increased interest of the industrial sector in sustainable concepts and leadership has lagged behind conceptual advancement. Leaders are increasingly being pushed to encourage sustainable performance. In order to examine the relationship between responsible leadership and sustainable performance, this research creates a model based on the logic of RL performance, with the concurrent mediation of epistemic motivation and moderating role of sustainable climate.

The current research analyzed a sample of 520 respondents from employees recruited from public sector organizations in Pakistan who were full-time employees in Punjab province in three waves with an interval of two weeks in each wave. To collect data, the scales are adapted from past studies that were relevant to this study. The data received from the survey questionnaire are analyzed using SEM.

The study's findings demonstrate a significant as well as positive association between RL and SP with β = 0.298 and p < 0.001. Further, a significant mediating impact of epistemic motivation on the relationship between RL and sustainable performance with β = 0.238 and p < 0.001 is also evident. Epistemic motivation is an important mediator because transparency in knowledge held massive importance to get sustainable outcomes and is predominant factor to exert his/her efforts.

The research shows some theoretical and practical implications. To achieve the aims of sustainable development, organizations should first encourage responsible leadership behaviors. By establishing a shared vision and goals, top management can encourage responsible leadership techniques within their jurisdiction. In order to encourage responsible leadership behaviors, organizations should seek to create capacity at both organizational and social levels. It will change employee attitudes and provide the knowledge needed to achieve sustainable development objectives.

This is one of the initial studies to examine the relationship between responsible leadership and sustainable performance. Further, the concept of social exchange theory is used to understand sustainable performance from a comprehensive standpoint.

As a distinctive form of communist heritage tourism, the ideology and government-led form of red tourism warrants an in-depth examination of how tourists consume and perceive it. This study aims to reveal tourists’ perception of red tourism through the lens of destination image.

This study collected 9,819 user-generated photographs within four types of red tourism destinations (RTDs) and used a computer visual and semiotic analysis approach to conduct photograph-based cognitive and affective attributes extraction. Network analysis further visualized the co-relations between cognitive images and affective images. ANOVA analysis compared the differences of the four types of destination images.

Ten dimensions of cognitive image and eight categories of affective image of red tourism were identified. It found that monuments, statues, memorial symbols were the distinctive cognitive features, and admiration was the most dominant emotion. Heterogeneity of destination images was identified among the four types of RTDs.

To the best of the authors’ knowledge, the study is one of the first to explore tourists’ consumption of red tourism through the lens of destination image, which reveals the inconsistencies between the officially projected images and tourists’ perceived images of red tourism. Using Plutchik’s model, it validates a series of positive and negative emotions contributing to the affective images of red tourism, which expands the findings of emotions within the extant red tourism research. Through combined applications of computer visual and semiotic analysis, ANOVA, network analysis and model visualization, the study provides an important methodological triangulation for photograph-based destination image studies.

红色旅游作为共产主义旅游的独特形式, 游客如何感知这种国家意识形态植入与政府主导型旅游值得深入研究。本研究旨在从目的地意象视角揭示游客红色旅游感知。

本研究收集四种类型的红色旅游地9819张用户生成照片, 利用计算机视觉-情感析法对照片进行认知和情感元素提取。复杂网络分析揭示了认知意象与情感意象之间的关联。方差分析比较了四种红色旅游地意象的差异。

本研究确定了红色旅游认知意象的十个维度和情感意象的八个类别。研究发现, 纪念碑、雕像、纪念符号是其独特的认知意象元素, 钦佩是其最主要的情感，四种类型红色旅游地意象存在差异性。

本文是同类研究中首次从目的地意象视角探索游客对红色旅游地感知, 揭示了红色旅游官方投射意象与游客感知意象之间的差异。利用Plutchik情感之轮模型, 验证了一系列积极和消极情绪构成红色旅游地情感意象, 拓展了红色旅游的情感发现。综合运用计算机视觉-情感分析、方差分析、网络分析和模型可视化等方法, 为基于照片的旅游目的地意象研究提供了一个重要方法。

Como forma distintiva del turismo del patrimonio comunista, la ideología y la forma gubernamental del turismo rojo justifican un examen en profundidad de cómo lo consumen y perciben los turistas. Este estudio pretende revelar la percepción que tienen los turistas del turismo rojo desde la perspectiva de la imagen del destino.

Este estudio recopiló 9.819 fotografías generadas por los usuarios dentro de cuatro tipos de destinos de turismo rojo, y utilizó un enfoque de análisis visual y semiótico por ordenador para llevar a cabo la extracción de atributos cognitivos y afectivos basados en fotografías. El análisis de redes visualizó además las correlaciones entre las imágenes cognitivas y las imágenes afectivas. El análisis ANOVA comparó las diferencias de los cuatro tipos de imágenes de destino.

Se identificaron diez dimensiones de imagen cognitiva y ocho categorías de imagen afectiva del turismo rojo. Se descubrió que los monumentos, las estatuas y los símbolos conmemorativos eran los rasgos cognitivos distintivos, y la admiración la emoción más dominante. Se identificó una heterogeneidad de imágenes de destino entre los cuatro tipos de destinos de turismo rojo.

El estudio es uno de los primeros en explorar el consumo de turismo rojo por parte de los turistas a través de la lente de la imagen del destino, lo que revela las incoherencias entre las imágenes proyectadas oficialmente y las imágenes percibidas por los turistas del turismo rojo. Utilizando el modelo de Plutchik, valida una serie de emociones positivas y negativas que contribuyen a las imágenes afectivas del turismo rojo, lo que amplía los hallazgos sobre las emociones dentro de la investigación existente sobre el turismo rojo. Mediante aplicaciones combinadas de análisis visual y semiótico por ordenador, ANOVA, análisis de redes y visualización de modelos, el estudio proporciona una importante triangulación metodológica para los estudios de la imagen del destino basados en fotografías.

The purpose of this paper is to examine a possible negative spillover effect in sports sponsorship to answer whether the sponsored team’s poor performance will have a negative effect on audiences’ trust in its sponsor’s brand. The authors further analysed whether the audience’s attitude towards the team plays a mediating role and whether the audience’s personality type (active vs passive) plays a moderating role in this negative spillover effect.

Three experimental studies were conducted with 380 Chinese undergraduates and MBA student participants over two years. The authors designed the experiment as a computer-mediated intervention in which good, poor and neutral performance groups were compared. After the respondents were exposed to the intervention, we asked them to answer questions using a computer terminal. We analysed the data from the three experiments through analysis of variance (ANOVA), regression analysis and a bootstrap.

The audiences who were exposed to a team’s poor performance condition reported less trust in the sponsor’s brand relative to those exposed to a good performance condition, and the brand trust was even lower than for those who were exposed to a control condition (no performance information). Further, the audience’s negative attitude towards the sports team mediated the negative effect of the team’s poor performance on its sponsor’s brand trust. The negative effect was more obvious for individuals with Type A personalities (active) than for those with Type B personalities (passive).

The prior literature has neglected a possible negative effect of a sports team’s performance on its sponsor’s brand trust. In particular, questions of whether, how and when this negative effect occurs are critical for sponsors, teams, and audiences. Since sports team sponsorship is burgeoning in China, the negative implications are unclear in this new context. Thus, the revelation that the negative spillover effects of a team’s poor performance on audiences’ trust in the sponsor’s brand provides two original contributions. First, the negative effect reveals value for multiple sponsorship stakeholders. Second, the Chinese context in this study adds value for future research and practice regarding both Chinese-foreign and domestic Chinese decisions.

Covid-19 cases are rising at a high rate in Thailand. Thailand’s administration has formulated many initiatives to combat the spread of coronavirus. However, during a pandemic, health-care workers have a diverse range of tasks that make it more challenging to continue working in hospitals. Consequently, the authors modeled the turnover intentions of health-care personnel to capture relevant psychological aspects of employees during the pandemic. Specifically, this study aims to focused on the moderating role of Covid-19 burnout (CBO) in the relationship between transformational leadership (TL) and job turnover intentions (JTI) with job satisfaction (JS) and knowledge hiding (KH) as mediators.

This research collected data using self-administered questionnaire. A two-stage partial least square–structural equation modeling (PLS-SEM) is carried out as an analysis technique to measure the linear relationship among constructs. The study tests hypotheses (direct and indirect effects) using 310 sample size of health-care personnel.

The findings indicated that CBO intensified the JTI of health-care personnel and strengthened the association of JS and KH with JTI during the Covid-19 pandemic. TL had a negative indirect effect on JTI. In addition, JS had a negative impact on JTI.

The study highlights the importance of TL and JS as ways to reduce or alleviate JTI in health-care personnel during the Covid-19 pandemic in Thailand. Furthermore, CBO and KH can enhance JTI in health-care personnel.

A limited number of empirical studies have indicated that individuals who experience workplace ostracism tend to engage in subtle and retaliatory behaviors as a means of seeking inner peace. However, research on organizational behavior and employee psychology in relation to ostracism is still in its nascent stages. Specifically, further investigation is warranted to explore how supervisor ostracism influences task procrastination (TP) through psychological processes such as self-efficacy, self-esteem and motivation. Notably, a significant gap exists in the ostracism literature, as it has yet to thoroughly examine employee behaviors related to knowledge hiding (KH) and TP in the context of individual or team-based work (Zhao et al., 2016; Brouwer and Jansen, 2019). Therefore, the present study aims to address this gap and expand the research stream within the education sector by introducing “threat to self-esteem” (TSE) as a mediating factor in the outcomes of ostracism.

The study employed a quantitative approach, using questionnaires to collect data and mainly focused on statistics and standards. The authors used SPSS and Smart-PLS to employ numerical values developed from questionnaire surveys. Likewise, we employed primary data collection tools, including mixed survey analysis (self-reported and peer-reported). The data were collected from middle-level managers working in three public sector universities. By using a three-wave research design with a two-week interval in each phase, we were able to separate the measurement of the predictor and moderator factor [supervisor ostracism (SO) and individual resilience (IR)], mediator (TSE) and outcome variables (KH and TP).

The study has discovered a substantial relationship between variables, and all hypotheses are accepted according to the data results and findings. The study measures the effects of supervisor ostracism on knowledge hiding and task procrastination through mediating effect of threat to self-esteem, which individual resilience moderates. This study adds a few contributions to the current literature, following the goals stated above. First, this attempts to highlight employee KH behavior and TP behavior by identifying SO as the primary predictor.

The organization should closely monitor the level of workplace ostracism. One strategy to accomplish this goal is to routinely gauge the extent of ostracism at work using targeted techniques like surveys and observation. The organization can also create an employee assistance program for the workers to assist them in coping with the mistreatment and better adjusting to the workplace culture. Furthermore, employee empowerment and collaborative decision-making can boost workers' self-esteem, eventually leading to diminishing knowledge-hiding and procrastination habits inside the organization.

There is a research gap regarding the barriers to KH from the perspective of team dynamics and interpersonal mistreatment at work because prior research has focused on knowledge sharing, organizational culture and organizational obstruction. Research on organizational behavior and employee psychology in relation to ostracism is still in its nascent stages. Specifically, further investigation is warranted to explore how SO influences TP through psychological processes such as self-efficacy, self-esteem and motivation. Notably, a significant gap exists in the ostracism literature, as it has yet to thoroughly examine employee behaviors related to KH and TP in individual or team-based work.