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This article aims to synthesize published research on the policing of Asian communities in the United States.

This is a systematic literature review using PRISMA 2020 guidelines.

Sixteen studies were reviewed. Five examined violence by police against Asian community members and reported rates for Asians closer to those against Whites than against members of other groups. One study found no relationship between violence against police and increased minority representation on the force. Four studies reported conflicting results regarding traffic stops of Asian motorists and in general perceptions of police anti-Asian bias. One study illustrated how racialization processes reproduce inequality both between racial-ethnic categories and within them. Five studies examined Asian community members’ general attitudes toward/satisfaction with police and reported—with qualifications—generally favorable attitudes and satisfaction with them.

This is the first systematic literature review of policing Asian communities in the United States.

Drawing on the theory of memory-dominant logic, this study aims to examine how the substantive staging of the servicescape, experience co-creation, experiential satisfaction and experience intensification affect experience memorability and hedonic well-being in the case of unmanned smart hotels.

An online survey was used, with the target respondents being hotel guests people aged 18 years and older who had been recent guests of the FlyZoo Hotel in Hangzhou, China. Data were collected online from 429 guests who had stayed in the hotel between April and June 2023. Data analysis was undertaken using structural equation modelling.

The results suggest that all the proposed four constructs are positive drivers of a memorable unmanned smart hotel experience. The relationship between the memorability of the hotel experience and hedonic well-being was found to be significant and positive.

Unmanned smart hotels should ensure that all smart technologies function effectively and dependably and offer highly personalised services to guests, allowing them to co-create their experiences. This will lead to the guest receiving a satisfying and memorable experience. To enable experience co-creation using smart technologies, unmanned smart hotels could provide short instructional videos for guests, as well as work closely with manufacturers and suppliers to ensure that smart technology systems are regularly updated.

This study investigates the antecedents and outcomes of a novel phenomenon and extends the concept of memorable tourism experiences to the context of unmanned smart hotels.

The experiencescape is a relatively new concept, and research using it remains scarce. This study contributes to the understanding of the experiencescape and its role in tourism consumption by constructing a novel conceptual model of the experiencescape elements of a casino resort visit and their effects on its attractiveness.

Partial least squares structural equation modelling was employed, using data collected from 491 casino resort visitors in Macao, to establish a link between the experiencescape and visitors’ perceived overall attractiveness of the casino resort through the mediating effect of arousal.

The findings establish the relationship between experiencescapes and the perceived overall attractiveness of integrated casino resorts through the mediating effect of arousal.

Casino resort executives are advised to orchestrate various experience elements from the perspective of the experiencescape to trigger positive tourism experiences. Specifically, all factors related to tangible, gaming and non-gaming and social experiential stimuli need to be continually reviewed, improved and innovated.

This study presents novel insights into the role of emotions in an integrated casino resort context. It identifies a set of strategies through which managers can increase the attractiveness of their resorts by stimulating customers’ emotions.

Current solutions for monitoring the progress of pavement construction (such as collecting, processing and analysing data) are inefficient, labour-intensive, time-consuming, tedious and error-prone. In this study, an automated solution proposes sensors prototype mounted unmanned ground vehicle (UGV) for data collection, an LSTM classifier for road layer detection, the integrated algorithm for as-built progress calculation and web-based as-built reporting.

The crux of the proposed solution, the road layer detection model, is proposed to develop from the layer change detection model and rule-based reasoning. In the beginning, data were gathered using a UGV with a laser ToF (time-of-flight) distance sensor, accelerometer, gyroscope and GPS sensor in a controlled environment. The long short-term memory (LSTM) algorithm was utilised on acquired data to develop a classifier model for layer change detection, such as layer not changed, layer up and layer down.

In controlled environment experiments, the classification of road layer changes achieved 94.35% test accuracy with 14.05% loss. Subsequently, the proposed approach, including the layer detection model, as-built measurement algorithm and reporting, was successfully implemented with a real case study to test the robustness of the model and measure the as-built progress.

The implementation of the proposed framework can allow continuous, real-time monitoring of road construction projects, eliminating the need for manual, time-consuming methods. This study will potentially help the construction industry in the real time decision-making process of construction progress monitoring and controlling action.

This first novel approach marks the first utilization of sensors mounted UGV for monitoring road construction progress, filling a crucial research gap in incremental and segment-wise construction monitoring and offering a solution that addresses challenges faced by Unmanned Aerial Vehicles (UAVs) and 3D reconstruction. Utilizing UGVs offers advantages like cost-effectiveness, safety and operational flexibility in no-fly zones.

This study aims to progress scholarly understanding of the staycation phenomenon by examining customer segments and documenting local customers’ attribute preferences.

A stated choice experiment is used to examine customer preferences for staycation package attributes. Latent class discrete choice modeling is deployed to classify customers into market segments based on their preferences. The profile of each segment is enhanced by documenting customer characteristics and consumption styles.

Six prominent market segments are identified using a combination of sociodemographics, consumption styles and staycation attribute preferences. The findings draw on consumer experiences during the COVID-19 pandemic to generate theoretical insights into preferred staycation packages. Empirically, the estimation results from the research framework and choice experimental method demonstrate that staycation market segments exhibit distinct preference structures.

Practitioners and policymakers can incorporate the findings of this study in designing and/or assessing staycation packages. This can ensure differentiated products for defined segments that resonate within local communities through positive word of mouth, thus offering prospective spillovers to visiting friends and relatives.

This is a pioneering study on preference heterogeneity from the customer perspective, with a focus on staycation markets. The findings can encourage and assist hotel sector leaders to capitalize on local market developments to achieve a more resilient hospitality business model.

The purpose of this paper is to provide a critical perspective on how the COVID-19 crisis shaped inclusive leadership behaviors of global business leaders.

Using quantitative and qualitative methods, the authors analyzed 240 CEO statements in 120 multinational enterprises from six countries (France, India, Japan, South Korea, UK, USA), pre- and mid-COVID-19.

Results show that CEO emphasis on inclusive leadership increased during the pandemic. More substantively, the authors identify three key behaviors of inclusive leadership – fidelity, calmness and collective resilience.

The authors provide empirical evidence of inclusive leadership behaviors by global business leaders. In doing so, the authors integrate inclusive leadership into societally engaged international business research.

In this paper, I discuss the personalities of several representative crypto YouTube celebrities and Bitcoin aficionados, such as George Tung from CryptosRUs, Mike Jenkins (Guy) from Coin Bureau, Lark Davis, Andreas M. Antonopoulos, and Richard Heart. I look closely at their online performances to reveal the character of a trickster, the ambivalent mythological figure that symbolizes chaos, creativity, and disruption. Based on the core literature on the subject, I trace how the figure of a trickster has transformed into the jester in medieval times, and then into the adventurer in the new modern times, and how this transformation is relevant for today. A variety of examples demonstrates that the jester, the trickster, and the adventurer all reveal themselves in different facets of crypto influencers’ performances. However, the most popular YouTubers are also comparatively tame: they produce educational content on cryptocurrencies and blockchain, as compared to “get rich quick” schemes, which are typically presented with a higher degree of tricksteriness. There are also crucial differences and omissions: crypto influencers do not demonstrate queerness, which is inherent to the trickster, and they do not balance praise with abuse, as jesters do. The modern type of an adventurer is more fitting, although it is mostly found in the virtual Wild West of blockchain entrepreneurship, rather than on the most popular YouTube channels.

The purpose of this study is to understand the situation of hotels and tourism industry in Malaysia during and in post Covid-19 and to mitigate indirect damage caused by COVID-19 to the hotel business and tourism industry by examining the factors that have an influence on hotel’s customer satisfaction rating and revisit intention through an integration of service quality (SERVQUAL) framework and expectation-confirmation theory (ECT).

The SERVQUAL and ECT were considered the underpinning theoretical models but are integrated and extended by including a few additional variables. Data were collected from 458 respondents of travelers and hotel customers in Malaysia and analysed by applying partial least squares structural equation model technique.

The empirical results established that significant positive relationships exist between the three newly emerged independent variables (IVs), namely, hygienic practice, greenness of service and digitalization and hotel customer satisfaction towards hotel revisit intention, and only two variables from SERVQUAL, namely, reliability and assurance, have a significant relationship with hotel customer satisfaction towards hotel revisit intention. The results reveal that customer satisfaction has significant direct effect between above-mentioned IVs and customers revisit intention.

The use of purposeful sampling method in only one country might limit the generalizability of the results. Future research should be planned to duplicate the current study using a sizable sample of participants from multiple countries and include other related factors related to the pandemic phenomena such as safety, hotel location and health value offered.

Theoretical findings imply that service quality is a dynamic theory that should be examined continuously to achieve sustainable and resilient performance in today’s competitive business environment, as some modifications inevitably occur over time and new factors could be emerged. Regarding practical implications, study findings proved the great significance of assurance, reliability, digitalization, greenness and hygienic practices on customer satisfaction towards intention to revisit to hotel. Therefore, it is critical for hotel management to retain hotel business industry in a way that fits and matches customer’s health protection, meets customer’s newly prompted expectations and needs and ensures resilience during unsettled times.

This study is unique as the newly emerged variables are included in the research framework, and thus it helps to close the literature gap by introducing an integrated SERVQUAL and ECT theoretical model, which rarely performs in this context and can be replicated or extended with validated scales. This study contributes to enhancing hotel and tourism sustainable service quality performance to achieve myriad economic and health values.