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This study aimed to determine the initial odor concentration which commonly urges Thais to make complaints and to propose an off-site limit for odorous emissions.

Odor concentrations measured by Nasal Rangers® and face-to-face survey interviews were simultaneously conducted with 122 residents located near 101 manufacturing centers in 20 provinces of Thailand. Along with the measured values and odor strength verbally rated by trained assessors, the number of complaint intentions, annoyance levels and health symptoms of residents were reported.

The odor concentrations in the inspected houses were <2, 2, 4, 7, 15, 30 and 60 D/T. The trained assessors stated that at the concentration of 4D/T, most odors were likely to be objectionable and unbearable when odor concentrations were higher. Correspondingly, about 80% of residents exposed to odors at this level felt some annoyance and reported health symptoms and therefore intended to register a complaint. At lower concentrations, the annoyance level as well as the decision to complain likely depended on other factors such as hedonic tone and exposure frequency.

The proposed off-site reference value for odor complaint assessment was 4D/T. However, in the case of lower concentrations, additional relevant factors were crucially required to investigate the complaint.

This finding will help local authorities diminish subjective discretion on whether or not an odor constitutes a nuisance.

The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and evaluate the evolving impact of the global COVID-19 crisis on traffic patterns and loads and the impact of those on Internet performance from multiple perspectives. While we place a particular focus on deriving insights into how we can better respond to crises and better plan for the post-COVID-19 ‘new normal’, we analyse the impact on and the responses by different actors of the Internet ecosystem across different jurisdictions. With a focus on the USA and Europe, we examine the responses of both public and private actors, with the latter including content and cloud providers, content delivery networks, and Internet service providers (ISPs). This chapter makes two contributions: first, we derive lessons learned for a future post-COVID-19 world to inform non-networking spheres and policy-making; second, the insights gained assist the networking community in better planning for the future.

This paper aims to present the findings from a European study on the digital skills gaps in tourism and hospitality companies.

Mixed methods research was adopted. The sample includes 1,668 respondents (1,404 survey respondents and 264 interviewees) in 5 tourism sectors (accommodation establishments, tour operators and travel agents, food and beverage, visitor attractions and destination management organisations) in 8 European countries (UK, Italy, Ireland, Spain, Hungary, Germany, the Netherlands and Bulgaria).

The most important future digital skills include online marketing and communication skills, social media skills, MS Office skills, operating systems use skills and skills to monitor online reviews. The largest gaps between the current and the future skill levels were identified for artificial intelligence and robotics skills and augmented reality and virtual reality skills, but these skills, together with computer programming skills, were considered also as the least important digital skills. Three clusters were identified on the basis of their reported gaps between the current level and the future needs of digital skills. The country of registration, sector and size shape respondents’ answers regarding the current and future skills levels and the skills gap between them.

The paper discusses the digital skills gap of tourism and hospitality employees and identifies the most important digital skills they would need in the future.

COVID-19 has changed the way we teach and learn, including service-learning (S-L). This study examines the impacts of the work-from-home (WFH) mode on the work performance and learning outcomes of student interns on an eight-week S-L internship programme, and the key factors in terms of its success.

A qualitative research methodology is adopted by interviewing nine student interns and four supervisors from three community partner organisations (CPOs) to understand their experiences of how the WFH mode has impacted intern work performance and learning outcomes. Thematic analysis is used for the data analysis.

The interns uncover a number of negative WFH impacts on the S-L internship, including ineffective communication and management practice, low work efficiency and quality, a lack of task variety and learning opportunities and distractions in the home environment. Furthermore, five critical factors for WFH success are also identified, including prior preparation, effective communication systems, personal motivators at work, the nature of the job in relation to it being suited to the WFH mode, and organisational support.

The study examines impacts on student work performance and learning outcomes in an S-L summer internship programme operating under the WFH mode as a result of the COVID-19 pandemic. Key success factors and practical recommendations have been developed for enhancing the future success of S-L internships operating under the WFH mode.

Roughly half a million persons in the USA are homeless on any given night and over a third of those individuals have significant alcohol/other drug (AOD) problems. Many are chronically homeless and in need of assistance for a variety of problems. However, the literature on housing services for this population has paid limited attention to comparative analyses contrasting different approaches. The paper aims to discuss these issues.

The authors examined the literature on housing models for homeless persons with AOD problems and critically analyzed how service settings and operations aligned with service goals.

The authors found two predominant housing models that reflect different service goals: sober living houses (SLHs) and housing first (HF). SLHs are communally based living arrangements that draw on the principles of Alcoholics Anonymous. They emphasize a living environment that promotes abstinence and peer support for recovery. HF is based on the premise that many homeless persons with substance abuse problems will reject abstinence as a goal. Therefore, the HF focus is providing subsidized or free housing and optional professional services for substance abuse, psychiatric disorders, and other problems.

If homeless service providers are to develop comprehensive systems for homeless persons with AOD problems, they need to consider important contrasts in housing models, including definitions of “recovery,” roles of peer support, facility management, roles for professional service, and the architectural designs that support the mission of each type of housing.

This paper is the first to consider distinct consumer choices within homeless service systems and provide recommendations to improve each based upon architecture and community planning principles.