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The purpose of this paper is to present proposed solutions and interventions to some of the major barriers to providing adequate access to healthcare in Kenya. Specific business models are proposed to improve access to quality healthcare in low- and middle-income countries. Finally, strategies are developed for the retail clinic concept (RCC).

Google Scholar, PubMed and EBSCOhost were among the databases used to collect articles relevant to the purpose in Kenya. Various governmental and news articles were collected from Google searches. Relevant business models from other sectors were considered for potential application to healthcare and the retail clinic concept.

After a review of current methodologies and approaches to business and franchising models in various settings, the most relevant models are proposed as solutions to improving quality healthcare in Kenya through the RCC. For example, authors reviewed physician recruitment strategies, insurance plans and community engagement. The paper is informed by existing literature and reports as well as key informants.

This paper lacks primary data collection within Kenya and is limited to a brief scoping review of literature. The findings provide effective strategies for various business and franchising models in healthcare.

The assembling of relevant information specific to Kenya and potential business models provides effective means of improving health delivery through business and franchising, focusing on innovative approaches and models that have proven effective in other settings.

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.

Health science librarians occupy a unique place in librarianship, guiding healthcare professionals and the public to quality sources of medical research and consumer health information in order to improve patient outcomes and quality of life. A broader impact of health sciences librarianship is its advocacy for improvements in public health. In recent years, health science librarians have been actively involved in advocating for adequate, responsive, and culturally competent health care for lesbian, gay, bisexual, transgender, and queer (LGBTQ+) individuals. Health sciences librarians have advocated for LGBTQ+ individuals through a variety of specialized outreach projects to address health disparities found in the LGBTQ+ community such as HIV/AIDS, women’s health, or substance abuse, have collaborated with public health agencies and community-based organizations to identify health disparities and needs, and have implemented outreach to address these needs.

This chapter maps the landscape of health sciences librarian outreach to LGBTQ+ people. The authors develop this theme through case studies of health science librarians providing health information to the LGBTQ+ community and healthcare professionals. Following an overview of advocacy for LGBTQ+ health by the US National Network of Libraries of Medicine and professional information organizations, they conclude the chapter by discussing the “pioneering” nature of these projects and the common threads uniting them, and by identifying the next steps for continued successful outreach through the development of an evidence base and tailoring of outreach and resources to address other demographic aspects of the members of the LGBTQ+ community.

The chapter seeks to address a current gap in the literature: envisioning and justifying community outreach projects and turning such insights into best practices for managing such projects. Drawing heavily on informational interviews, the article highlights the importance of defining shared missions and strategic plans, identifying partners, researching needs and expectations, building trust and partnerships, setting and fulfilling communication expectations, offering tangible benefits to the partner, and evaluating outcomes. While focused on health sciences librarians and their community partners, these practices are broadly applicable to many library outreach programs and can enhance credibility, approaches, and impact, while increasing funding opportunities and users while creating sustainable collaborations.

The purpose of this paper is twofold: first, to identify the soft skills of construction project management; and second, to investigate the influence of these soft skills on project success factors in the Vietnamese construction industry.

A questionnaire survey was conducted with 108 project management professionals from the Vietnamese construction industry. Partial least square structural equation modelling was employed in data analysis.

Four-dimensional structure of project success factors was confirmed in this study. Results also showed that soft skills of project managers significantly contributed to project success factors and hence the project success.

There may be geographical limitation on the conclusions drawn from the findings. Similarly, the sample size was still small, despite a relatively high response rate. In addition, the majority of the respondents were contractors and clients as other project players were reluctant to respond to the survey.

This study provides an understanding of the relationship between soft skills and project success factors.

Although there have been studies focused on soft skills of project management and project success factors, few have attempted to analyse the effects of these soft skills on critical success factors. Thus, this study adds significantly to the existing research on both project management skills and project success factors.

A review of past scholarly work on pricing issues in hospitality has revealed a lack of focus on customers’ demographic profiles. However, research in other disciplines reveals that understanding price perception differences among groups of customers with different demographics, including culture, is an important consideration when offering pricing strategies. The purpose of this paper is to contribute to the body of pricing research by exploring the effect of hotel guests’ demographics on their perception of hotel room prices.

Through Qualtrics, data were collected from 414 respondents who stayed at a mid-scale hotel within the past 24 months. The respondents’ perceived value (PV), perceived fairness (PF) and willingness to pay (WTP) for hotel rooms were examined with MANOVA and ANOVA tests to determine the effects of customer demographics on these variables.

Age, gender and marital status showed a significant effect on PV while age, gender and culture significantly affected PF. However, none of these variables significantly affected WTP. The culture of origin and the culture raised-in influenced PV, PF and WTP similarly.

This study reconciles several divergent results from previous studies and extends the scope of others by introducing different scenarios to each of the three dependent variables. To the best of the authors’ knowledge, it is also the first research study on this subject to evaluate more than two cultures and their effects on the independent variables.

The purpose of this paper is to examine the effect of coffee production on poverty among smallholder farmers.

National Household Survey data for Uganda were triangulated with qualitative field data. A mix of propensity score matching (PSM) and quantile treatment effect techniques was employed.

The results reveal a significant effect of coffee production on poverty reduction, through incremental household consumption expenditure. Households engaged in coffee production are associated with a lower incidence of poverty. The interesting evidence suggests that coffee production is a pro-poor intervention. These findings are confirmed by qualitative assessment that reveals farmers’ welfare improved to greater extent to satisfactory levels from coffee income.

Econometrically robust strategies were employed to ensure minimal estimation bias; however, the authors are mindful of PSM limitation of selection on observables.

This paper is part of a limited body of literature that combines quantitative and qualitative assessment, a growing issue in contemporary research. In addition to employing one of the conventional impact evaluation techniques, the paper accounts for heterogeneity in the effects of coffee production.