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This paper sets out to highlight several aspects of a project, aimed at developing an advanced thermal comfort guideline, based on the adaptive thermal comfort theory.

The paper introduces the new Dutch adaptive guideline for thermal comfort. The initial method exceeding hours (TO) is discussed, as well as the more recent method of weighted temperature exceeding hours (GTO). An evaluation of the practical and theoretical shortcomings of the TO and GTO methods is discussed, as well as the rationale behind the adaptive ATG guideline. Furthermore, the results are presented of computer simulations in which the predictions of the different methods are compared. Productivity effects of the new guideline are also discussed, as well as the implications for cooling system sizing and energy efficiency.

The adaptive temperature limits (ATG) guidelines appears to be a more reliable method for the assessment of thermal comfort, in particular for passive, free‐running buildings, compared with the PMV‐based method of weighted temperature exceeding hours (GTO). Furthermore, the ATG method allows for a wider temperature range for Alpha type buildings and gives more opportunity for the development of sustainable, naturally ventilated buildings and limiting cooling energy.

Although the new ATG method shows promising results, more research is needed. The exact distinction between Alpha and Beta is still subject to further research, as well as the question whether a certain amount of exceeding hours of the ATG limits should be accepted.

The ATG method is being used in The Netherlands for the assessment of thermal comfort in the design stage as well as in the assessment of the performance of buildings in use.

This paper discusses the first application of the adaptive thermal comfort theory in a practical guideline.

High turnover rates, delay and dissatisfaction among PhD students about the high efforts and low rewards are common problems in doctoral education. Research shows that many different factors are associated with the mental health crisis in graduate education, but these diverse aspects have not often been studied in relation to talent management and human resource management (HRM) strategies. Based on questionnaires and in-depth interviews, this chapter critically assesses the factors that influence doctoral students’ well-being, using as theoretical framework the self-determination theory, concerned with the social and other conditions that facilitate or hinder human well-being and flourishing, and the job demands–resources model, an occupational stress model that suggests strain is a response to imbalance between demands on the individual and the resources he or she has to deal with those demands. These theoretical frameworks help to explore the perceived job demands and resources, and motivations of a sample of 25 PhD students in the Netherlands, in order to recommend adequate talent management strategies to improve PhD work conditions at universities and reduce the increasing levels of ill-being. The study proposes a collegial model, focussing on the enjoyment of work, instead of the current managerial model, which focusses on strengthening knowledge and skills, and stimulating performance-oriented behaviour. A differentiated approach is needed, offering customized talent development for each PhD student in order to respond to his or her specific qualities, improving general well-being. This radical shift in talent management is needed to counter the mental health crisis in doctoral studies.

Aarhus Kommunes Biblioteker (Teknisk Bibliotek), Ingerslevs Plads 7, Aarhus, Denmark. Representative: V. NEDERGAARD PEDERSEN (Librarian).

During the early SARS-CoV-2 (COVID-19) pandemic outbreak, the Center for Disease Control and Prevention (CDC) stated masks “may not protect the wearer, but it may keep the wearer from spreading the virus to others”. Health officials revised mask guidelines to include both the wearer and others, but contradiction became a focal point for online debate and credibility. While revised policies eventually became adopted by the public, there was loss time and lives during this critical stage. This study investigates collectivist messaging on public policy support.

COVID-19 public policy hypocrisy was defined as the gap between supporting community policies while rejecting policies more likely to impact the individual. United States participants (N = 1,605) completed questionnaires. Moderated mediation analysis was conducted using SPSS PROCESS.

Those high on collectivism and high on global personal impact associated with lower COVID-19 public policy hypocrisy. These individuals indicated consistent support for community and individual policies, likely requiring personal sacrifices. Indirect conditional effects of lower conscientiousness associated with higher hypocrisy among those collectivistic.

Participants evaluated preference to original public safety ads, representative of basic societal and individual benefits. Those higher on collectivism preferred societal “we” versus individual “me” public safety ads. Implications discuss benefits of personal and communal public health messaging in an individualistic society so businesses can reopen. Entrepreneurs experienced major economic setbacks that effective public health policies could have mitigated.

It has been more than 20 years since the “Reinventing Government” movement swept through the American public sector. Over time, the tenets of public entrepreneurship and new public management have diverged due to liability and risk aversion. One of the core elements of entrepreneurship is risk taking, and with it the likelihood of failure. The purpose of this paper is to reconcile these issues under a simple framework of “entrepreneurial governance” that works across the elements of knowledge, innovation, opportunity, and implementation.

This is primarily a set of problems (liability, risk aversion, critiques) that negatively impacts the application of public entrepreneurship. To build a framework, the author made a substantive review of the literature to “get back to basics” and clarify the problems, as well as draw fundamental concepts about entrepreneurship.

The framework was developed by applying the more current notion of “governance” with the basic elements of entrepreneurship, acknowledging that in implementation we have to account for the critiques by reinforcing responsible risk reduction and ethical decision making.

The intent was to create a framework based on fundamental aspects of entrepreneurship. The limitations/implications are that additional research will have to develop more concrete testing methods and then test the framework.

The intent here was to create a “practitioner friendly” prescriptive framework that could be almost immediately applied.

A culture shift away from risk aversion (and corrupt practices) has to allow risk taking and with it responsible risk reduction (and failure or success).

The reliance on existing literature reduces some of the originality, except to re-conceptualize public entrepreneurship in a way that accounts for its shortcomings. The value in shifting culture and responsibly reducing risk is difficult to estimate.

This paper aims to document indigenous knowledge systems (IKS) used for short- and long-range rainfall prediction by small holder farmers in three communities of Guruve District, in north-eastern Zimbabwe. The study also investigated farmers’ perceptions of contemporary forecasts and the reliability of both IKS and contemporary forecasts.

Data were collected among small holder farmers in Guruve District using household interviews and focus group discussions in three wards in the district, grouped according to their agro-climate into high and low rainfall areas. To get an expert view of the issues, key informant interviews were held with key agricultural extension personnel and traditional leaders.

Results obtained showed show high dependence on IKS-based forecasts in the district. Over 80 per cent of the farmers used at least one form of IKS for short- and long-range forecasting, as they are easily understood and applicable to their local situations. Tree phenology, migration and behaviour of some bird species and insects, and observation of atmospheric phenomena were the common indicators used. Tree phenology was the most common with over 80 per cent of farmers using this indicator. While some respondents (60 per cent) viewed forecasts derived from IKS as more reliable than science-based forecasts, 69 per cent preferred an integration of the two methods.

The simplicity and location specificity of IKS-based forecasts makes them potentially useful to smallholder farmers, climate scientists and policymakers in tracking change in these areas for more effective climate change response strategies and policymaking.

Accurate information is the basis for well-informed decision-making, which is particularly challenging in the dynamic reality of a pandemic. Search engines are a major gateway for obtaining information, yet little is known about the quality and scientific accuracy of information answering conspiracy-related queries about COVID-19, especially outside of English-speaking countries and languages.

The authors conducted an algorithmic audit of Google Search, emulating search queries about COVID-19 conspiracy theories in 10 different locations and four languages (English, Arabic, Russian, and Hebrew) and used content analysis by native language speakers to examine the quality of the available information.

Searching the same conspiracies in different languages led to fundamentally different results. English had the largest share of 52% high-quality scientific information. The average quality score of the English-language results was significantly higher than in Russian and Arabic. Non-English languages had a considerably higher percentage of conspiracy-supporting content. In Russian, nearly 40% of the results supported conspiracies compared to 18% in English.

This study’s findings highlight structural differences that significantly limit access to high-quality, balanced, and accurate information about the pandemic, despite its existence on the Internet in another language. Addressing these gaps has the potential to improve individual decision-making collective outcomes for non-English societies.

During the challenging time of lockdown and isolation due to the coronavirus disease (COVID-19), contact-tracing apps have played a critical role in health communication and preventive healthcare. This study proposed and tested an extended technology acceptance model (TAM) with key health factors (i.e. health risk perception from COVID-19, health information orientation to COVID-19 and health consciousness) to understand individuals' adoption of COVID-19 contact-tracing apps.

A two-stage online survey was conducted to collect data on US individuals’ intention and actual use of COVID-19 contact-tracing apps. The sample comprises 288 valid responses. Partial least squares structural equation modeling (PLS-SEM) and fuzzy set/qualitative comparative analysis (fsQCA) were employed as the complementary approaches.

The findings from PLS-SEM revealed that health risk perception, health information orientation and perceived usefulness have positive net effects on behavioral intention, which, in turn, affects actual use. The results from fsQCA highlighted the explanatory power of the extended TAM to COVID-19 contact-tracing app adoption.

Although TAM is considerably effective in measuring technology acceptance, the phenomenon is highly context-driven. How technological and health factors simultaneously motivate the use of contact-tracing apps has not been well documented. The present study offers some implications for practitioners concerned about fostering the adoption of mobile health services in the time of COVID-19. Methodologically, this study is among the first to blend PLS-SEM and fsQCA to measure the explanatory power of a structural model.

This study aims to propose a model that delineated the diffusion process of product-harm misinformation on social media. Drawing on theoretical insights from cue diagnosticity and corporate associations, the proposed model mapped out how consumers' information skepticism and perceived content credibility influence their perceived diagnosticity of the product-harm misinformation and corporate ability (CA) associations with the company being impacted, which in turn influenced their trust toward the company and negative word-of-mouth (NWOM) intention.

A survey was conducted with 504 US consumers to empirically test the proposed model. Following the survey, in-depth interviews were conducted with 11 communication professionals regarding the applicability of the model.

When exposed to product-harm misinformation on social media, consumers' perceived diagnosticity of misinformation was negatively impacted by their information skepticism and positively impacted by perceived content credibility of misinformation. Perceived diagnosticity of product-harm misinformation negatively impacted consumers' CA associations, which then led to decreased trust and increased NWOM intention. Findings from the interviews further supported the diffusion process and provided insights on strategies to combat product-harm misinformation. Strategies shared by the interviewees included preparedness and social listening, proactive outreach and building strong CA associations as preventative measures.

This study incorporates the theoretical frameworks of cue diagnosticity and corporate associations into the scholarship of misinformation and specifically addresses the unique diffusion process of product-harm misinformation on social media. This study provides insights and tangible recommendations for communication professionals to combat product-harm misinformation.

This systematic review aims to synthesize the literature reporting the motives, sociodemographic, attitude/behavior and impacts of fake news during the COVID-19 pandemic, targeting the general population worldwide.

A systematic review approach was adopted based on PRISMA, targeting articles published in five databases from January 2020 to November 2021. The screening resulted in 46 eligible papers.

Results indicate low level of awareness, knowledge, media/health literacy, low trust in science/scientists and entertainment/socialization to be the main motivating drivers for fake news dissemination, whereas the phenomenon is more prominent among those with low socio-economic status, and males. Negative impacts were reported due to fake news dissemination, especially violation to precautionary measures, negative affections, and low trust in government/news, with many believing that others are more susceptible to fake news than themselves.

Considering the pandemic is still on-going and the deleterious consequences of fake news, there is a need for cohort-based interventions from the concerned authorities.

The systematic review covers a wide timeline of 23 months (i.e. up to end of 2022) targeting five well-known databases, hence articles examined are deemed extensive and comprehensive. The review specifically focused on the general population with results revealing interesting motives, sociodemographic profiles, attitude and impact of this phenomenon during the COVID-19 pandemic.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2022-0082.