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Globally, urban planners and decision makers are pursuing place-based initiatives to develop and enhance urban infrastructure to optimise city performance, competitiveness and sustainability credentials. New discourses associated with big data, Building Information Modelling, SMART cities, green and biophilic thinking inform research, policy and practice agendas to varying extents. However, these discourses remain relatively isolated as much city planning is still pursued within traditional sectoral silos hindering integration. This research explores new conceptual ground at the Smart – Natural City interface within a safe interdisciplinary opportunity space. Using the city of Birmingham UK as a case study, a methodology was developed championing co-design, integration and social learning to develop a conceptual framework to navigate the challenges and opportunities at the Smart-Natural city interface. An innovation workshop and supplementary interviews drew upon the insights and experiences of 25 experts leading to the identification of five key spaces for the conceptualisation and delivery at the Smart-Natural city interface. At the core is the space for connectivity; surrounded by spaces for visioning, place-making, citizen-led participatorylearning and monitoring.The framework provides a starting point for improved discussions, understandings and negotiations to cover all components of this particular interface. Our results show the importance of using all spaces within shared narratives; moving towards ‘silver-green’ and living infrastructure and developing data in response to identified priorities. Whilst the need for vision has dominated traditional urban planning discourses we have identified the need for improved connectivity as a prerequisite. The use of all 5 characteristics collectively takes forward the literature on socio-ecological-technological relationships and heralds significant potential to inform and improve city governance frameworks, including the benefits of a transferable deliberative and co-design method that generates ownership with a real stake in the outcomes.

The study has a twofold purpose. The first purpose is to understand the impact of the Covid-19 pandemic on women's work–home integration and stress from both a constructivist and positivist perspective. The other purpose is to emphasize the need for enterprises to understand the embedded considerations of occupational stress of women for strategy formulation.

The study has used a convergent parallel design to obtain data. A total of 63 respondents (a survey with a sample of 53 and ten narratives) was identified using the snowball technique. The respondents were married and working professionals from Kerala. Perceived stress scale was used to procure data on their stress in the home-based work during the pandemic lockdown. Simultaneously narratives were taken from ten respondents from the same pool. The data were analyzed using R software version 4.0.2.

The findings reflect that home-based work was stressful for women, and they weighed home tasks over work needs. There was no age difference in perceived stress, while it significantly differed by profession and designation they hold. Also, a mother felt more stressed than a non-mother. Quantitative data heavily backed up the narratives. Of the sample, 76% experienced higher stress levels.

This research will help users understand the stress distribution in women workers and how various sample characteristics influence stress. The enterprise could use this study to introduce a gender touch to their strategy. The study also adds value to the existing literature on home-based work during the pandemic.

The study systematically measures the stress felt by women during home-based work using a perceived stress scale. The mixed approach to the study helps to gain a deep understanding of the topic. This study is an original contribution by the authors to the collection of home-based work and stress literature.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.