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The study examines how calculative practices and accountability appear in a rural community of marginalised people in Egypt who depend on jasmine plantations that contribute to the production of global essences.

The data were collected from various sources, namely conversations with villagers, documents and relevant videos and news available on social media and the Internet. This study draws on the concepts of social accountability, the politics of blame avoidance and using calculative practices as a language to explain accountability in context.

The author found a lack of accountability on the part of the government and business owners, with serious implications for the livelihoods of people in a community that has been wholly dependent on jasmine plantations for a century. Power holders have deployed a blame-shifting game to avoid social responsibility. In response, calculative practices rather than advanced accounting tools are used by the poor in the community to induce power holders to be accountable.

The findings of this study show that authorities need to take proactive steps to address the disadvantaged position of powerless people in the lower echelons of society, recognising their accountability for those people.

This paper enhances the understanding of the status of calculative practices and accountability in a community of marginalised people who contribute to the production of global commodities. The paper also enhances the understanding of what goes on behind the scenes with popular and prestigious commodities, whose development is initiated in poor countries, with the end product marketed in rich Western countries.

Nurse leaders are challenged by ethical issues in today’s complex health-care settings. The purpose of this study was to describe and analyze key elements of moral distress identified by nurse leaders from health-care systems in the USA, Germany, Austria and Switzerland. The aim was to develop an understanding of distressing ethical issues nurse leaders face in the USA and three German-speaking European countries.

This descriptive cross-sectional study surveyed a convenience sample of nurse leaders in the USA, Germany, Austria and Switzerland. The voluntary, anonymous survey also included qualitative questions and was distributed using the Qualtrics® platform. A thematic analysis of the qualitative data in each country was carried out and a comparative analysis identified similarities and differences between the groups of nurse leaders comparing the US data to that from three German-speaking European countries.

The survey was completed by 316 nurse leaders: Germany, Austria, and Switzerland (n = 225) and the USA (n = 91). Similar themes identified as causing all nurse leaders moral distress included a lack of individual and organizational integrity, hierarchical and interprofessional issues, lack of nursing professionalism, patient care/patient safety concerns, finances negatively impacting care and issues around social justice. Within these six themes, there were also differences between the USA and the three German-speaking European countries.

Understanding the experiences associated with distressing ethical situations can allow nurse leaders and organizations to focus on solutions and develop resilience to reduce moral distress in the USA and three German-speaking European countries.

This study aims to examine the performance implications of an information governance (IG) framework for managing, controlling access to and securing information, focusing on (1) the performance benefits of an organization's IG orientation and (2) how the configuration of IG orientation and supply chain (SC) strategy type relate to performance outcomes.

This study leverages multiple secondary sources for US hospitals, serving as the context for the study. It also employs cluster analysis to develop an SC strategy taxonomy, namely sophisticated and delivery-focused SC strategies. The proposed research model is tested using a robust regression to mitigate the influence of outliers and produce more accurate estimates.

IG orientation is positively associated with financial performance and patient experience, and IG-oriented hospitals with a sophisticated SC strategy realize more financial benefits and achieve better patient care experiences compared to other configurations. Regardless of SC strategy type, IG-oriented hospitals offer better care experiences than non-IG-oriented hospitals.

This paper offers empirical evidence that a hospital's IG orientation and SC strategy jointly affect financial outcomes and patient experience. For hospitals, an organization-wide framework for governing information streamlines both intra- and inter-organizational information flows and improves care delivery throughout a patient's care experience.

This is one of a few studies that empirically examine the performance implications of governance of information in the domain of supply chain management (SCM). This study also develops an SC strategy taxonomy for the healthcare context and offers a springboard for research in service SC strategy.

The demand for healthcare innovation is increasing, and not much is known about how entrepreneurial firms search for and sell to customers in the highly regulated and complex healthcare market. Drawing on effectuation perspectives, we explore how entrepreneurial digital healthcare firms with disruptive innovations search for early customers in the healthcare sector.

This study uses a qualitative, longitudinal multiple-case design of four entrepreneurial Nordic telehealth firms. In-depth interviews were conducted with founders and senior managers over a period of 27 months.

We find that when customer buying conditions are highly flexible, case firms use effectual logic to generate customer demand for disruptive innovations. However, under constrained buying conditions firms adopt a more causal approach to customer search.

Managers need to gain a deep understanding of target buying environments when searching for customers. In healthcare sector markets, the degree of flexibility customers have over buying can constrain them from engaging in demand co-creation. In particular, healthcare customer access to funding streams can be a key determinant of customer flexibility.

We contribute to effectuation literature by illustrating how customer buying conditions influence decision-making logics of entrepreneurial firms searching for customers in the healthcare sector. We contribute to entrepreneurial resource search literature by illustrating how entrepreneurial firms search for customers beyond their networks in the institutionally complex healthcare sector.

The lack of a proper register to store, match and display information on the adapted property has led to a waste of resources and prolonged delays in matching the disabled and elderly people with appropriate properties. This paper presents the development of a Housing Adaptations Register with user-matching functionalities for different mobility categories. The developed system accurately captures and documents adapted home information to facilitate the automated matching of disabled/aged applicants needing an adapted home with suitable property using banding, mobility and suitability index.

A theoretical review was conducted to identify parameters and develop adaptations register construct. A survey questionnaire approach to rate the 111 parameters in the register as either moderate, desirable or essential before system development and application. The system development relied on DSS modelling to support data-driven decision-making based on the decision table method to represent property information for implementing the decision process. The system is validated through a workshop, four brainstorming sessions and three focus group exercises.

Development of a choice-based system that enables the housing officers or the Housing Adaptations Register coordinators to know the level of adaptation to properties and match properties quickly with the applicants based on their mobility status. The merits of the automated system include the development of a register to capture in real-time adapted home information to facilitate the automated matching of disabled/aged applicants. A “choice-based” system that can map and suggest a property that can easily be adapted and upgraded from one mobility band to the other.

The development of a housing adaptation register helps social housing landlords to have a real-time register to match, map and upgrade properties for the most vulnerable people in our society. It saves time and money for the housing associations and the local authorities through stable tenancy for adapted homes. Potentially, it will promote the independence of aged and disabled people and can reduce their dependence on social and healthcare services.

This system provides the local authorities with objective and practical tools that may be used to assess, score, prioritise and select qualified people for appropriate accommodation based on their needs and mobility status. It will provide a record of properties adapted with their features and ensure that matching and eligibility decisions are consistent and uniform.

Globally, hepatitis C treatment uptake is lower among people who are homeless or unstably housed compared to those who are housed. Understanding and addressing this is essential to ensure no one is left behind in hepatitis C elimination efforts. This study aims to explore peoples’ experiences of unstable housing and health care, and how these experiences influenced engagement in hepatitis C treatment.

Purposive sampling was used to recruit people with lived experience of injection drug use, hepatitis C and unstable housing in Melbourne, Australia. In-depth semistructured interviews were conducted and a case study approach with interpretative phenomenological analysis was used to identify personal experiential themes and group experiential themes.

Four people were interviewed. The precarious nature of housing for women who inject drugs was a group experiential theme, however, this did not appear to be a direct barrier to hepatitis C treatment. Rather, competing priorities, including caregiving, were personal experiential themes and these created barriers to treatment. Another group experiential theme was “right place, right time, right people” with these three elements required to facilitate hepatitis C treatment.

There is limited research providing in-depth insight into how personal experiences with unstable housing and health care shape engagement with hepatitis C treatment. The analyses indicate there is a need to move beyond a “one size fits-all” approach to hepatitis C care. Instead, care should be tailored to the needs of individuals and their personal circumstances and regularly facilitated. This includes giving greater attention to gender in intervention design and evaluation, and research more broadly.

This study specifically seeks to investigate the strategic implementation of machine learning (ML) algorithms and techniques in healthcare institutions to enhance innovation management in healthcare settings.

The papers from 2011 to 2021 were considered following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. First, relevant keywords were identified, and screening was performed. Bibliometric analysis was performed. One hundred twenty-three relevant documents that passed the eligibility criteria were finalized.

Overall, the annual scientific production section results reveal that ML in the healthcare sector is growing significantly. Performing bibliometric analysis has helped find unexplored areas; understand the trend of scientific publication; and categorize topics based on emerging, trending and essential. The paper discovers the influential authors, sources, countries and ML and healthcare management keywords.

The study helps understand various applications of ML in healthcare institutions, such as the use of Internet of Things in healthcare, the prediction of disease, finding the seriousness of a case, natural language processing, speech and language-based classification, etc. This analysis would help future researchers and developers target the healthcare sector areas that are likely to grow in the coming future.

The study highlights the potential for ML to enhance medical support within healthcare institutions. It suggests that regression algorithms are particularly promising for this purpose. Hospital management can leverage time series ML algorithms to estimate the number of incoming patients, thus increasing hospital availability and optimizing resource allocation. ML has been instrumental in the development of these systems. By embracing telemedicine and remote monitoring, healthcare management can facilitate the creation of online patient surveillance and monitoring systems, allowing for early medical intervention and ultimately improving the efficiency and effectiveness of medical services.

By offering a comprehensive panorama of ML's integration within healthcare institutions, this study underscores the pivotal role of innovation management in healthcare. The findings contribute to a holistic understanding of ML's applications in healthcare and emphasize their potential to transform and optimize healthcare delivery.

This paper aims to explore how historical context influences the content and selection of rhetorical legitimation strategies. Using case study method, this paper will focus on how insurance companies and labor tried to defend their legitimacy in the context of enactment of Medicare in the USA. What factors influenced the strategic (rhetorical) decisions made by insurance companies and labor unions in their institutional work?

The study is empirically grounded in archival research, involving an analysis of over 9,000 pages of congressional hearings on Medicare covering the period 1958–1965.

The authors show that rhetorical legitimation strategies depend significantly on the specific historical circumstances in which those strategies are used. The historical context lent credibility to certain arguments and organizations are forced to decide either to challenge widely held assumptions or take advantage of them. The authors show that organizations face strong incentives to pursue the latter option. Here, both the insurance companies and labor unions tried to show that their positions were consistent with classical liberal ideology, because of high respect of classical liberal principles among different stakeholders (policymakers, voters, etc.).

It is uncertain how much the results of the study could be generalized. More information about the organizations whose use of rhetorics the authors studied could have strengthened our conclusions.

The practical relevancy of the revised paper is that the authors should not expect hegemony challenging rhetorics from organizations, which try to influence legislators (and perhaps the larger public). Perhaps (based on the findings), this kind of rhetorics is not even very effective.

The paper helps to understand better how organizations try to advance their interests and gain acceptance among the stakeholders.

In this paper, the authors show how historical context in practice influence rhetorical arguments organizations select in public debates when their goal is to influence the decision-making of their audience. In particular, the authors show how dominant ideology (or ideologies) limit the options organizations face when they are choosing their strategies and arguments. In terms of the selection of rhetorical justification strategies, the most pressing question is not the “real” broad based support of certain ideologies. Insurance company and labor union representatives clearly believed that they must emphasize liberal values (or liberal ideology) if they wanted to gain legitimacy for their positions. In existing literature, it is often assumed that historical context influence the selection of rhetorical strategies but how this in fact happens is not usually specified. The paper shows how interpretations of historical contexts (including the ideological context) in practice influence the rhetorical strategies organizations choose.

This study aims to examine the volume of ehealth literacy documents during 2006–2022, and the nature of citation of ehealth documents by country, organizations, sources and authors.

The study adopted a bibliometric approach. Bibliographic data was collected on citation of ehealth documents by country, organizations, sources and authors from Scopus and mapped and visualized the citations using VosViewer.

A total of 1,176 documents were produced during 2006–2022, indicating a high rate of document production in this sub-discipline. Among the 102 countries that contributed documents on the subject, 58 qualified for the analysis. The USA had the highest number of cited documents on eHealth literacy, followed by Canada and Australia. The average publication year for the USA was 2018, with 348 publications and an average of 24.12 citations. Canada had a high average citation count of 44.69. Furthermore, the document examined citations by organizations.

The research implications of the study suggest that eHealth literacy is an actively growing field of research, with a substantial impact on the academic community, and researchers should focus on collaboration with high-impact institutions and journals to increase the visibility and recognition of their work, while also paying attention to the need for more research representation from African countries.

The study’s findings indicate a high rate of document production and growing interest in eHealth literacy research, with the USA leading in the number of cited documents followed by Canada, while Canadian eHealth literacy research receives relatively higher citation rates on average than the USA.

The study’s originality lies in its examination of citation patterns and global contributions to eHealth literacy literature, offering valuable insights for researchers. It identifies key authors, high-impact journals and institutions, providing valuable guidance for collaboration. The research highlights a growing interest in eHealth literacy, underscoring its potential impact on public health and digital health interventions.

Blockchain technology enhances information management in healthcare supply chains by securing healthcare information and providing medical resource traceability. However, there is no decision framework to support blockchain implementation for managing information, especially in emerging economies’ healthcare supply chains. This paper develops a hierarchical decision model for implementing blockchain technology for information management in emerging economies’ healthcare supply chains.

This study uses 20 health supply chain experts in Ghana to rank 17 decision criteria for implementing blockchain for healthcare information management using the best-worst method (BWM) multi-criteria decision technique.

The results show that “security” and “privacy,” “infrastructural facility” and “presence of training facilities” are the top three critical factors impacting blockchain adoption in the health supply chain for healthcare information management. Other sub-factors are prioritized.

To implement blockchain effectively to enhance information management in the healthcare supply chain, health institutions, blockchain technology providers and state authorities should concentrate on the highly critical factors extracted from the study.

This is the first study that develops a hierarchical decision model for implementing blockchain technology in emerging economies' health supply chains.