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Despite opposition from housebuilders, the Nationally Described Space Standard (NDSS) was introduced in 2015 amid concerns about shrinking home sizes. This paper examines Planning Appeal cases to examine how the standard has been enforced.

This paper considers how the NDSS has informed the regulation of housing size, based on an overview of post-2015 Planning Appeal Decisions in England where the gross internal area of the home was below the NDSS.

Appeals by developers have tended to fail where homes are “significantly” – i.e. 10% or more – below the NDSS. However, in some instances – especially where local authorities have not adopted the NDSS – the Planning Inspectorate rules considerably smaller homes “adequate”. These discrepancies appear related to (subjective) judgements about who might occupy the space, alongside consideration of layout, light and fenestration.

This paper is the first exploration of how the NDSS has been enforced, highlighting important contradictions in the adjudication of space standards. Many of these contradictions emerge because the NDSS is discretionary rather than mandatory, with the paper suggesting the need for clearer guidance on their application.

The study aims to drive conceptual clarity around resistance to information technology projects, integrating multiple facets of the phenomenon from earlier studies.

The study conducts a meta-synthesis of qualitative studies on resistance to technology projects; it analyzes those studies at a case-specific level, compares and contrasts emergent concepts against each other, and “translates” those to the rest of the studies. The study uses the seven-step meta-ethnography method by Noblit and Hare to reciprocally translate emergent concepts to construct the conceptual model.

Through meta-synthesis, the study derives a new conceptual model for resistance to information technology projects, exemplifying how the identified antecedents create user resistance and how the phenomenon progresses within organizations.

This study enriches the observations and conclusions of past individual studies while explicating various facets of the mechanisms that generate and progress technology resistance within organizations. It offers fresh insights into the equivocal nature of the phenomenon and the distinctive ways it progresses from individual to group level.

Many ambitious and costly digital transformation efforts do not succeed due to user resistance. Understanding the mechanisms that create user resistance can help organizations manage technology projects better, thereby reducing the technology assimilation gap and protecting returns on related investments.

There have been extensive studies on technology acceptance (enablers) within organizations, while those relating to technology inhibitors are somewhat limited. However, the symmetry of understanding between enablers and inhibitors is vital for organizations to assimilate promising technologies and transform their business models. This model uses a new lens of sensemaking theory to explain how the antecedents trigger perceived threats and resistance behavior; it highlights the nuances around the development of resistance within individuals and its progression to groups. The resultant model offers better generalizability in organizational contexts.

Characteristics that impact the levels of palliative care are introduced. Patients with the potential to be classified as palliative may be overlooked or simply so not seek medical attention. The population is much higher than those being treated on an annual basis. Data from the American Community Survey (ACS) and the Behavioral Risk Factor Surveillance System (BRFSS) are applied to the characteristics of palliative care and used to estimate the size of the palliative population in the United States (US).

Despite the long-established importance of infant mental health, internationally this has not been mirrored in the provision of infant mental health services. Within Scotland in the UK, there has been significant recent government investment in developing infant mental health services. However, existing research identifies a massive knowledge and skills gap that could create barriers to implementation. This study aims to use qualitative methods to consider the views of relevant professional stakeholders on education and training within infant mental health.

The authors completed semi-structured interviews with 14 professional stakeholders working in a health board in Scotland. This study used purposive sampling to include a broad range of professionals across health and social care services and analysed the resulting data using Braun and Clarke’s (2006) methodology. This study adopted a reflexive stance throughout, including the research team interviewing each other as part of the process.

Within the theme of education and training, we identified four sub-themes. These included roles for public health and societal education, training for parents, training for professionals and increasing professionals’ experience of infant mental health.

The issues identified are relevant in any area of the UK or internationally in considering the role of education and training in developing and maintaining new infant mental health services. Further research with families and with wider groups of professional stakeholders would be of further benefit.

Health-care marketing typically entails a coordinated set of outreach and communications designed to attract consumers (patients in the health-care context) who require services for a better health outcome and guide them throughout their health-care journey to achieve a higher quality of life. The purpose of this study is to understand the progress and trends in healthcare marketing strategy (HMS) literature between 2018 and 2022, with a special emphasis on the pre- and post-Covid-19 periods.

The authors examine 885 HMS-related documents from the WOS database between 2018 and 2022 that were extracted using a keyword-based search strategy. After that, the authors present the descriptive statistics related to the corpus. Finally, the authors use author co-citation analysis (ACA) and bibliographic coupling (BC) techniques to examine the corpus.

The authors present the descriptive statistics as research themes, emerging sub-research areas, leading journals, organisations, funding agencies and nations. Further, the bibliometric analysis reveals the existence of five thematic clusters: Cluster 1: macroeconomic and demographic determinants of healthcare service delivery; Cluster 2: strategies in healthcare marketing; Cluster 3: socioeconomics in healthcare service delivery; Cluster 4: data analytics and healthcare service delivery; Cluster 5: healthcare product and process innovations.

This study provides an in-depth analysis of the advancements made in HMS-related research between 2018 and 2022. In addition, this study describes the evolution of research in this field from before to after the Covid-19 pandemic. The findings of this study have both research and practical significance.

To the best of the authors’ knowledge, this is the first study of its kind to use bibliometric analysis to identify advancements and trends in HMS-related research and to examine the pattern before and after Covid-19 pandemic.

Decentralised autonomous organisations (DAOs) are internet-native self-governing enterprises where individual groups, communities, agencies, consumers and providers work together using blockchain-led smart contracts (SCs). This study aims to examine the role of DAO marketplaces in technology-led autonomous organisation design for enterprise technology sourcing industries, with algorithmic trust and governance.

The authors examined the importance of an enterprise marketplace governance platform for technology sourcing using DAO as a decentralised/democratised business model. A total of 98 DAO products/services are evaluated across 11 industries that envisage DAO as a strategic choice for the governance of decentralised marketplace platforms.

The research findings validate how a DAO-led enterprise marketplace governance platform can create a cohesive collaboration between consumers (enterprises) and providers (solution vendors) in a disintermediated way. The proposed novel layered solution for an autonomous governance-led enterprise marketplace promises algorithmic trust-led, self-governed tactical alternatives to a strategic plan.

The research targets multiple industry outlooks to understand decentralised autonomous marketplace governance and develop the theoretical foundation for research and extensive corporate suitability.

The research underpinnings boost the entrepreneurs’ ability to realise the practical potential of DAO between multiple parties using SCs and tokenise the entire product and service offerings over immutable ledger technologies.

To the best of the authors’ knowledge, this research is unique and the first of its kind to study the multi-industry role of algorithmic trust and governance in enterprise technology sourcing marketplaces driven by 98 decentralised and consensus-based DAO products across 11 industries.

The purpose of this study is to investigate how two types of drivers, namely, executive compensation and market competition, can affect hospital quality in the USA. Recently, patients, insurers and regulators have increasingly focused on hospital quality. Understanding the interplay of incentives in this industry is important because in 2019, hospital treatment contributed $1.161bn to health-care costs in the USA. This study answers the call for more studies in the so-called “mixed” industry, where ownership differences can affect organizational objectives and operating constraints.

This study explores the roles of hospital executive compensation and industry competition as determinants of health-care quality. Specifically, the study probes the heterogeneity in the factors that influence quality across hospital types in the USA.

Using California hospital data from 2006 through 2020, the findings show that the effects of compensation and competition on hospital quality differ by ownership type. Executive compensation is positively associated with quality in for-profit hospitals but is not associated with that of nonprofit hospitals, suggesting for-profit hospitals are more likely to use higher levels of compensation to attract managers with higher ability, whereas the utility function for nonprofit managers may be multidimensional. Within the nonprofit hospital group, competition is more positively associated with quality for religious nonprofits relative to secular nonprofits, suggesting that competition provides more monitoring for religious hospitals.

Taken together, the findings provide evidence that the drivers of quality vary across hospitals in ways consistent with differences in constraints and objectives across ownership types. The findings are important for regulators seeking to incentivize higher quality. For example, Medicare in the USA has incorporated quality measures into its new hospital reimbursement scheme (value-based purchasing) to incentivize quality. This study proposes that regulators should consider differences across ownership types when evaluating the best ways to incentivize hospital quality.