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This study aims to reveal how mobile app stickiness is formed and how the stickiness formation process differs for apps of different social levels.

This study proposed and validated a stickiness formation model following the cognitive–affective–conative framework. Data were collected from surveys of 1,240 mobile app users and analyzed using structural equation modeling. Multigroup analysis was applied to contrast the stickiness formation process among apps of different social levels.

This study revealed a causal link between cognitive, affective and conative factors. It found partial mediation effects of trust in the association between perceptions and satisfaction, and the full mediation role of satisfaction and personal investment (PI) in the effects of subjective norm (SN) on stickiness. The multigroup analysis results suggested that social media affordances benefit stickiness through increased PI and strengthened effects of SN on PI. However, it damages stickiness through increased perceived privacy risk (PPR), decreased trust and strengthened effects of PPR on trust.

This study contributes to both stickiness scholars and practitioners, as it builds a model to understand the stickiness formation process and reveals the effects of the “go social” strategy. The novelty of this study is that it examined social influences, considered privacy issues and revealed two mediation mechanisms. The findings can guide the improvement of mobile app stickiness and the application of the “go social” strategy.

Incorporating dynamic spatial effects exhibits considerable potential in improving the accuracy of forecasting tourism demands. This study aims to propose an innovative deep learning model for capturing dynamic spatial effects.

A novel deep learning model founded on the transformer architecture, called the spatiotemporal transformer network, is presented. This model has three components: the temporal transformer, spatial transformer and spatiotemporal fusion modules. The dynamic temporal dependencies of each attraction are extracted efficiently by the temporal transformer module. The dynamic spatial correlations between attractions are extracted efficiently by the spatial transformer module. The extracted dynamic temporal and spatial features are fused in a learnable manner in the spatiotemporal fusion module. Convolutional operations are implemented to generate the final forecasts.

The results indicate that the proposed model performs better in forecasting accuracy than some popular benchmark models, demonstrating its significant forecasting performance. Incorporating dynamic spatiotemporal features is an effective strategy for improving forecasting. It can provide an important reference to related studies.

The proposed model leverages high-frequency data to achieve accurate predictions at the micro level by incorporating dynamic spatial effects. Destination managers should fully consider the dynamic spatial effects of attractions when planning and marketing to promote tourism resources.

This study incorporates dynamic spatial effects into tourism demand forecasting models by using a transformer neural network. It advances the development of methodologies in related fields.

纳入动态空间效应在提高旅游需求预测的准确性方面具有相当大的潜力。本研究提出了一种捕捉动态空间效应的创新型深度学习模型。

本研究提出了一种基于变压器架构的新型深度学习模型, 称为时空变压器网络。该模型由三个部分组成：时空转换器、空间转换器和时空融合模块。时空转换器模块可有效提取每个景点的动态时间依赖关系。空间转换器模块可有效提取景点之间的动态空间相关性。提取的动态时间和空间特征在时空融合模块中以可学习的方式进行融合。通过卷积运算生成最终预测结果。

结果表明, 与一些流行的基准模型相比, 所提出的模型在预测准确性方面表现更好, 证明了其显著的预测性能。纳入动态时空特征是改进预测的有效策略。它可为相关研究提供重要参考。

所提出的模型利用高频数据, 通过纳入动态空间效应, 在微观层面上实现了准确预测。旅游目的地管理者在规划和营销推广旅游资源时, 应充分考虑景点的动态空间效应。

本研究通过使用变压器神经网络, 将动态空间效应纳入旅游需求预测模型。它推动了相关领域方法论的发展。

La incorporación de efectos espaciales dinámicos ofrece un considerable potencial para mejorar la precisión de la previsión de la demanda turística. Este estudio propone un modelo innovador de aprendizaje profundo para capturar los efectos espaciales dinámicos.

Se presenta un novedoso modelo de aprendizaje profundo basado en la arquitectura transformadora, denominado red de transformador espaciotemporal. Este modelo tiene tres componentes: el transformador temporal, el transformador espacial y los módulos de fusión espaciotemporal. El módulo transformador temporal extrae de manera eficiente las dependencias temporales dinámicas de cada atracción. El módulo transformador espacial extrae eficientemente las correlaciones espaciales dinámicas entre las atracciones. Las características dinámicas temporales y espaciales extraídas se fusionan de manera que se puede aprender en el módulo de fusión espaciotemporal. Se aplican operaciones convolucionales para generar las previsiones finales.

Los resultados indican que el modelo propuesto obtiene mejores resultados en la precisión de las previsiones que algunos modelos de referencia conocidos, lo que demuestra su importante capacidad de previsión. La incorporación de características espaciotemporales dinámicas supone una estrategia eficaz para mejorar las previsiones. Esto puede proporcionar una referencia importante para estudios afines.

El modelo propuesto aprovecha los datos de alta frecuencia para lograr predicciones precisas a nivel micro incorporando efectos espaciales dinámicos. Los gestores de destinos deberían tener plenamente en cuenta los efectos espaciales dinámicos de las atracciones en la planificación y marketing para la promoción de los recursos turísticos.

Este estudio incorpora efectos espaciales dinámicos a los modelos de previsión de la demanda turística mediante el empleo de una red neuronal transformadora. Supone un avance en el desarrollo de metodologías en campos afines.

In this chapter, the authors explore the notion of loneliness in the CEO role. Traditionally, leaders are portrayed as possessing plentiful personal and social resources whereas lonely people are portrayed as socially and personally lacking, and so the notion of being lonely in a leadership position seems counterintuitive. The authors explore the elements of the CEO role and discuss the various ways the position can induce or perpetuate loneliness. The authors review the research on loneliness in relation to the CEO role and lay the foundation for future research in this underdeveloped area. The authors propose that loneliness is likely to develop when CEOs either are new to the leadership role or enact negative individual behaviors and might be felt more acutely during times of poor performance, criticism, and difficult decisions. The authors discuss implications and suggestions for future research.

The cruise sector's workforce is highly diverse in terms of nationalities, age, and gender. However, diversity in the workforce does not guarantee business success.

Decades of research on the effects of diversity indicate that it can negatively or positively affect an organization's performance. A more diverse workforce does not automatically perform better financially, feels more committed to their companies, nor experiences higher levels of satisfaction. Indeed, data suggest diversity may produce more conflict, employee turnover, but if well managed can lead to greater creativity and innovation.

This chapter explores the cruise industry's diversity and inclusion challenges and management practices. To examine what cruise companies are doing in this field, we reviewed the public data of the four largest cruise companies. We analyzed how these companies define diversity, their commitment to inclusion, their practices, their metrics, and their primary objectives.

Firstly, there is no theoretical model that includes all variables that affect the management of diversity in the cruise sector. Secondly, companies communicate a commitment to inclusion in their corporate social responsibility (CSR) reports and refer to similar policies implemented by the hospitality industry. Thirdly, the main challenges are the multicultural environment and the limited female representation.

The major limitation of this study is the data source. We recommend further studies supported by nonpublic company data. We encourage cruise industry leaders to support the research to develop an empirically tested model that captures the specific variables that affect diversity management in the industry.

Design an innovative Flipped classroom’s Delivery through virtual laboratory.

The fundamental framework of the present investigation is a Participatory Action Research (PAR) design. By merging the impetus of “action.” with the inclusiveness of “participation,” PAR establishes a “network” for collaborative teaching or research. PAR is pertinent to our research because it facilitates the participation of infrastructures and individuals in formulating a critical community. This community encourages critical self-reflection, promotes accountability, redistributes authority, and cultivates confidence in research. PAR fosters constructive transformation in educational environments by utilizing participants' combined insights and experiences to establish a structure for substantive dialogue and proactive measures.

As virtual laboratories are becoming essential in 21st-century science education, we found groundbreaking evidence that can support our novel approach to enhance the quality and equity in education. Our results show that virtual labs engage scientific goals and practices, develop scientific literacy, foster scientific inquiry and problem-solving, and promote metacognition. The effects of the virtual laboratory can develop high self-efficacy and positive attitudes among students. It improves students' laboratory performance, which we noted from laboratory activities, simulations, and long exam results.

The study offers groundbreaking account to depict epistemic fluency aided by virtual laboratory.

The aim of this article is to map the use of AI in the user experience (UX) design process. Disrupting the UX process by introducing novel digital tools such as artificial intelligence (AI) has the potential to improve efficiency and accuracy, while creating more innovative and creative solutions. Thus, understanding how AI can be leveraged for UX has important research and practical implications.

This article builds on a systematic literature review approach and aims to understand how AI is used in UX design today, as well as uncover some prominent themes for future research. Through a process of selection and filtering, 46 research articles are analysed, with findings synthesized based on a user-centred design and development process.

The authors’ analysis shows how AI is leveraged in the UX design process at different key areas. Namely, these include understanding the context of use, uncovering user requirements, aiding solution design, and evaluating design, and for assisting development of solutions. The authors also highlight the ways in which AI is changing the UX design process through illustrative examples.

While there is increased interest in the use of AI in organizations, there is still limited work on how AI can be introduced into processes that depend heavily on human creativity and input. Thus, the authors show the ways in which AI can enhance such activities and assume tasks that have been typically performed by humans.

This article explores the overlooked experiences of Chinese students in Australia from the White Australia Policy era to the post-war period. It argues that the emerging post-war transitional generation faced racial discrimination and geopolitical challenges, leading to the establishment of student societies and collaborations with religious groups and NGOs. Through writing and publishing in the 1950s and 1960s, they challenged rigid ethnic identities, shaping their ethnic identities, national belonging, language practices, and community involvement amidst historical contexts. Their narratives vividly depict a generational awakening, highlighting complex processes of integration and acculturation into a new societal landscape.

This paper employs historical discourse analysis using Chinese student magazines and bilingual archives to explore language and identity evolution among Chinese students in 1950s’ and 1960s’ Australia. It contextualizes ethnic, cultural, and linguistic identity transformations and examines how language politics and diaspora writings shaped integration strategies. The study highlights education and language politics' transformative roles in redefining cultural belonging and fostering community cohesion within the diaspora amid shifting socio-political contexts.

The findings of this study reveal that the concept of the “transitional generation” highlights integration as a dynamic process involving ongoing dialogue, identity negotiation through language, and the redefinition of cultural boundaries. Through analysis of three student-centered magazines – Murhun, Asiana and East Wind – it becomes evident how Chinese students in Australia navigated ethnic, cultural and linguistic identities. Murhun used bilingual content to strengthen solidarity and political engagement among Chinese readers, while Asiana employed English to connect Asian students with Australian society and globally. East Wind facilitated a diverse expression of identity, challenging singular notions of “Chineseness” and promoting cultural integration. These insights reflect a transformative period where Chinese students reshaped their historical position, fostering autonomy and challenging stereotypes like “Yellow Perils”.

This paper examines the often-overlooked experiences of post-war Chinese students in Australia, emphasizing their profound influence on immigration history and shifting public perceptions of Asian immigrants. It introduces the concept of the “transitional generation” to address research gaps and highlight the nuanced complexities of integration, respecting the diverse experiences and identities within this dynamic student community. Emphasizing dynamic negotiation and shared experiences, the study underscores how Australia’s diverse Asian communities have transformative potential. Integration extends beyond adaptation, fostering inclusive spaces for identity negotiation, thriving NGOs and enriching Australia’s social fabric with resilience, diversity and cultural vibrancy.