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The purpose of this paper is to report on an interprofessional (IPE) student training scheme recently conducted in three care homes across the Northwest of England. The intervention was designed as a feasibility study to explore the impacts such schemes have on residents, students and care home staff. Additional lessons emerged that contribute to the design and direction of future IPE initiatives in other care homes and care settings.

This case study outlines how the intervention was designed and implemented and the findings from its evaluation. This paper uses Biggs’ (1993) presage–process–product framework to evaluate the process of setting up care homes as a site of collaborative learning.

Collaborative working between stakeholders is necessary for the successful implementation of IPE in care home settings. The process is complex and requires communication and commitment across all levels of engagement. For this model to grow and have a beneficial impact on older people’s lives, there are layered factors to consider, such as the socio-political context, the characteristics of the individuals who participate and diverse approaches to learning.

This case study reports the subjective views of the research collaborators. While this raises the potential for bias, it presents an “insider” perspective of the research process and offers learning that might be beneficial in efforts to run future IPE training schemes.

To the best of the authors’ knowledge, no other research studies or published interventions have been identified that explicitly address the experiences of implementing an IPE training scheme in UK care home settings. This paper will therefore be useful to academic researchers, individuals managing student placements and to health and social care staff who wish to learn about of the value of IPE learning schemes.

The study aims to identify a model of commercializing entrepreneurial ideas in information and communication technology (ICT) knowledge-based companies.

A mixed method has been used in the research. The participants of the qualitative part were 15 key informants selected by sampling method purposefully and theoretically, while a sample of 205 experts was randomly chosen for the quantitative part. Data collection was completed through a semistructured interview in the qualitative part and by a researcher-made questionnaire in the quantitative part. The reliability of the research was confirmed by Cronbach’s alpha. The validity of the qualitative and quantitative parts was approved, respectively, by the criteria of Corbin and Strauss (2008) and by the content validity. Data analysis was done in the qualitative part through open, axial and selective coding, while in the quantitative part through partial least squares structural equation modeling (PLS-SEM) and adaptive neuro-fuzzy inference systems (ANFIS).

The commercialization model of ICT entrepreneurial ideas was depicted by the paradigmatic version of Corbin and Strauss (2008). The model has been consisted of six sectors as follows: causal conditions (including stimuli of science and technology parks, interests and motivation of managers of ICT knowledge-based company and environmental stimuli), contextual conditions (including skills and abilities of managers of ICT knowledge-based company, status of ICT knowledge-based company and enabling and facilitating legal framework), intervening conditions (including the complex nature of the ICT industry, science and technology parks’ support of companies, facilities and equipment for commercialization of ICT entrepreneurial ideas and economic system stability), strategies (including marketing research, planning and feasibility study of ICT entrepreneurial idea, design and production of ICT product and release and supply of ICT product), consequences (successful commercialization of ICT entrepreneurial ideas in the post-COVID-19 era) and the central phenomenon (ICT entrepreneurial ideas: commercialization in the post-COVID-19 era). Then, the main factors were confirmed through PLS-SEM and ANFIS. Among the factors, interests and motivation of managers of ICT knowledge-based companies, status of ICT knowledge-based companies, facilities and equipment for commercialization of ICT entrepreneurial ideas and release and supply of ICT products were identified as the most influential factors.

The model can help solve the challenges of managers and policymakers to commercialize ICT entrepreneurial ideas. Therefore, innovative production will increase, value will be created for the beneficiaries and economic, social and political growth will occur in the post-Corona era.

Commercialization of ICT entrepreneurial ideas has the potential to affect many aspects of economic and societal activities in the society such as GDP growth, employment, productivity, poverty alleviation, quality of life and education.

The research includes innovation in presenting a multidimensional commercialization model based on an entrepreneurial perspective in the special field of ICT with a mixed approach including grounded theory, PLS-SEM and ANFIS in ICT knowledge-based companies. But the most important innovation of the study is related to the findings. The main categories, subcategories and concepts of the research have been presented in the form of a theory entitled “ICT entrepreneurial ideas: commercialization in the post-COVID-19 era.”

This study aims to analyze the importance and performance of customer-facing technologies in luxury hotels. The study also assessed differences between and within the four generations in the importance-performance analysis (IPA).

Data were collected using a Qualtrics panel of recent luxury hotel customers in the USA belonging to all four generations. The cross-generational IPA was conducted using t-tests and (ANAOVA).

The IPA matrix concentrated most technology items in either low importance – low performance or high importance – high performance quadrants. One-way ANOVA revealed significant differences between generations on the importance ratings of all technology items except wireless charging power solutions and on the performance ratings of all technology items. Furthermore, post hoc tests indicated that millennials rated luxury technology most favorably among the four cohorts, followed by generations Z, X and Baby Boomers. In addition, significant differences between the importance and performance of many technology items within each generational cohort were observed. Overall, Wi-Fi was unanimously ranked across generations as the most important technology among luxury guests, but it was the only one that scored lower in performance than importance.

The findings of this study contribute to hospitality scholarship in two primary ways: the importance and performance of technology and generational differences. The results advance the understanding of the impact of generational factors on customer-facing technological adoptions in the luxury hotel sector.

Technologies that are pervasive in the home also become vital offerings for hotels. The more pervasive technology, the more a luxury hotel must work to ensure that it performs at optimal levels. Additionally, which technologies are most important to targeted generations are provided so practitioners may budget for their implementation.

This research is a pivotal step forward in unraveling the intricate interplay between generational factors and technological evaluations, providing a foundation for future research and practical applications in a rapidly evolving technological landscape in the hospitality industry.

This research investigates Airbnb’s financial implications in emerging economies and their potential to influence stock market profitability.

Employing a multifaceted approach, the study combines parametric and nonparametric tests, robustness checks, and regression analysis to assess the impact of Airbnb’s announcements on emerging economy stock markets.

Airbnb’s announcements affect emerging economies' stock markets with a distinct pattern of cumulative abnormal returns (CAR): negative before the announcement and positive afterward. Informed investors strategically leverage this opportunity through short selling before the announcement and acquiring positions following it. Regression analysis validates these trends, revealing that stock index returns and inbound tourism affect CAR before announcements, while GDP growth influences CAR afterward. Announcements pertaining to emerging economies exert a more pronounced impact on stock indices compared to city-specific announcements, with COVID-19 period announcements demonstrating greater significance in abnormal returns than non-COVID-19 period announcements.

This study advances existing literature through a comprehensive range of statistical tests, differentiation between emerging countries and cities, introduction of five macroeconomic variables, and reliance on credible primary Airbnb data. It highlights the potential for investors to leverage Airbnb announcements in emerging markets for stock market profits, emphasizing the need for adaptive investment strategies considering broader macroeconomic factors.

The aim of this paper is to study the procurement of infrastructure through the lens of circular economy (CE) principles to achieve contractual delivery methods which promote circular supply chains.

This paper provides an analysis of the key concepts related to the research topic based on a review of recent academic literature. Moreover, based on the empirical and academic experience of the authors in the infrastructure industry, there are multiple actionable discussion points which are raised. However, the research for this paper was undertaken with a focus on literature rather than direct observations and empirical research, which may limit discussion to scholarly rather than practical applications.

The paper finds that CE principles can be leveraged to capture additional economic benefit in the infrastructure industry. In addition, there are specific project delivery methods which may act as workable practices towards more circular supply chains.

The value of this paper is in the CE-related suggestions the paper provides to procurement practitioners. This work also attempts to link contractual procurement with tangible outcomes across the project lifecycle, including operation and end of life (EOL) of the infrastructure asset.