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The theme of collegiality and more broadly of changes in the governance of universities has attracted growing interest within the sociology of higher education. As institutions, contemporary universities are inhabited by competing logics often defined in terms of market pressures and are shaped by the higher education policies of governments. Collegiality is an ideal-type form of university governance based on expertise and scientific excellence. Our study looks at manifestations of collegiality in two publicly funded universities in Canada. Collegiality is explored through the structural attributes of governance arrangements and academic culture in action as a form of self-governance. Case studies rely on two data sources: (1) policy documents and secondary data on various aspects of university development, and (2) semi-structured interviews with key players in the governance of these organisations, including unions. Two main findings with implications for the enactment of collegiality as a governance mode in universities are discussed. The first is that governance structures are slowly transitioning into more hybrid and corporate forms, where academics remain influential but share and negotiate influence with a broader set of stakeholders. The second is the appearance of forces that promote a delocalisation of collegiality, where academics invest in external scientific networks to assert collegiality and self-governance and may disinvest in their own institution, thus contributing to the redefinition of academic citizenship. Status differentiation among academic colleagues is associated with the externalisation of collegiality. Mechanisms to associate collegiality with changes in universities and their environment need to be further explored.

This paper aims to explore the market dynamics that led to a shift in Swedish consumers' alcohol preferences from schnapps to wine. Specifically, the study investigates how the Swedish state influenced consumers' alcohol habits and highlights the role of governance units in shaping consumer culture.

The study reconstructs the historical memory of the “Operation Vin”, a strategic marketing campaign implemented by Systembolaget from 1957 to 1985, to conceptualize the past and to uncover the structures and change dynamics of the Swedish alcohol market system. Following this approach, the research contrasts historical data from multiple sources with market-oriented ethnographical data and traces the trajectory of how the consumption of alcohol has changed as a consequence of the Swedish state’s initiatives.

The study offers two contributions to the literature in marketing and consumption history. Firstly, it uncovers the lines of actions (framing and settlement) involved in creating marketing systems and shaping consumer culture. Secondly, it explores how the state strategically leveraged its social skills to promote a specific type of alcohol consumption (wine) and to induce the Swedish consumer to cooperate in the refashioning of the alcohol field.

The authors aspire for this paper to offer valuable insights into how a state, as a governance entity, can shape consumer culture through a strategic blend of various regulatory measures, both gentle and forceful. The authors emphasize the pivotal role of social skills in fostering cooperation during the implementation of a new alcohol policy.

This paper provides valuable insights into the role of the Swedish state in shaping consumer culture and explores the strategic actions and marketing systems involved, contributing to marketing and consumption history literature.

Many recommender systems are generally unable to provide accurate recommendations to users with limited interaction history, which is known as the cold-start problem. This issue can be resolved by trivial approaches that select random items or the most popular one to recommend to the new users. However, these methods perform poorly in many cases. This paper aims to explore the problem that how to make accurate recommendations for the new users in cold-start scenarios.

In this paper, the authors propose embedded-bandit method, inspired by Word2Vec technique and contextual bandit algorithm. The authors describe user contextual information with item embedding features constructed by Word2Vec. In addition, based on the intelligence measurement model in Crowd Science, the authors propose a new evaluation method to measure the utility of recommendations.

The authors introduce Word2Vec technique for constructing user contextual features, which improved the accuracy of recommendations compared to traditional multi-armed bandit problem. Apart from this, using this study’s intelligence measurement model, the utility also outperforms.

Improving the accuracy of recommendations during the cold-start phase can greatly raise user stickiness and increase user favorability, which in turn contributes to the commercialization of the app.

The algorithm proposed in this paper reflects that user contextual features can be represented by clicked items embedding vector.

The purpose of this paper is to examine student performance on both criterion- and norm-referenced measures, linked with teacher and student communication orientations.

The study used a pre-post design. During the pre-study phase, teachers underwent three days of intensive training in the Process Education Model®. In total, 21 middle and high school teachers at an independent school were the subject group. Each teacher identified ten students, five of whom they classified as “easy to communicate with” and five others whom they classified as “difficult to communicate with.” Approximately, 200 students participated in the study. Teachers and students provided communication preferences via the Kahler Personality Pattern Inventory® (1996). Performance data were gleaned from student grade point averages (GPAs) and grade-appropriate versions of ACT instruments.

The PPI reveals, in part, perceptual preferences in an assessing matrix. Intrinsic and extrinsic orientations were one set of distinctions. Most (more than 85 percent) of the teachers had intrinsic orientations, compared with 63 percent of the “easy” students and 47 percent of the “difficult” students. Both GPA and ACT comparisons were significantly different (p<0.001) on both pre- and post-measures, with the easy students outstripping their difficult counterparts. No significant differences were observed on the ACT Aspire, taken by students in grades 6–9.

The study was conducted at one site.

Student performance appears to be linked with connecting with teachers’ preferred delivery and communication styles. The more like their teachers the students are, the better their performance. Reinforcing new knowledge and skills was recognized as an important component of training.

If connecting better with students is tied with performance, teachers who learn how to shift their delivery methods may foster better outcomes. Also, attention should be paid on how distress may impact teacher performance, especially as they interact with students whose communication preferences may differ from theirs.

The tourist industry has to adopt a big data-driven foresight approach to enhance decision-making in a post-COVID international landscape still marked by significant uncertainty and in which some megatrends have the potential to reshape society in the next decades. This paper, considering the opportunity offered by the application of the quantitative analysis on internet new data sources, proposes a prediction method using Google Trends data based on an estimated transfer function model.

The paper uses the time-series methods to model and predict Google Trends data. A transfer function model is used to transform the prediction of Google Trends data into predictions of tourist arrivals. It predicts the United States tourism demand in Italy.

The results highlight the potential expressed by the use of big data-driven foresight approach. Applying a transfer function model on internet search data, timely forecasts of tourism flows are obtained. The two scenarios emerged can be used in tourism stakeholders’ decision-making process. In a future perspective, the methodological path could be applied to other tourism origin markets, to other internet search engine or other socioeconomic and environmental contexts.

The study raises awareness of foresight literacy in the tourism sector. Secondly, it complements the research on tourism demand forecasting by evaluating the performance of quantitative forecasting techniques on new data sources. Thirdly, it is the first paper that makes the United States arrival predictions in Italy. Finally, the findings provide immediate valuable information to tourism stakeholders that could be used to make decisions.

This paper aims to investigate the extent to which three subgroups – people with mental health conditions, people belonging to sexual minority and gender groups and Indigenous peoples – have been “left behind” by countries implementing the World Health Organization’s Framework Convention on Tobacco Control.

A general review of electronic bibliographical databases to provide an overview of smoking prevalence among the three groups and interventions designed specifically to reduce their smoking rates.

Although explanations and specific rates differ, two trends are consistent across all three groups. First, information reported in the past two decades suggests that smoking prevalence is disproportionately high among people with mental health conditions, and in the rainbow and indigenous communities. Second, most cessation programmes are targeted at majority politically dominant groups, missing opportunities to reduce smoking rates in these minority communities.

There is a general dearth of data preventing detailed analysis. Better data collection efforts are required. Trials to identify effective smoking reduction interventions for marginalised groups are needed.

It is socially unjust that these groups are being systematically ignored by tobacco control initiatives. A failure to equitably reduce tobacco harms among all groups across society has contributed to the perceived concentration of smoking in some subgroups. The increasing stigmatisation of people who smoke then adds a marginality, compounding the negative effects associated with belonging to a marginalised group. Ongoing marginalisation of these groups is an important determinant of smoking.

Cross-case analysis of neglected subgroups with disproportionately high smoking rates suggests social marginalisation is a shared and important determinant of smoking prevalence.

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.