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The purpose of this paper is to examine patient engagement in remote consultation services, an increasingly important issue facing Healthcare Operations Management (HOM) given the significant expansion in this and other forms of telehealth worldwide over the last decade. We use our analysis of the literature to develop a comprehensive framework that incorporates the patient journey, multidimensionality, antecedents and consequences, interventions and improvement options, as well as the cyclic nature of patient engagement. We also propose measures suitable for empirical assessment of different aspects of our framework.

We undertook a comprehensive review of the extant literature using a systematic review approach. We identified and analysed 63 articles published in peer-reviewed scientific journals between 2003 and 2022.

We conceptualise patient engagement with remote consultation across three key aspects: dimensions, process, and the antecedents and consequences of engagement. We identify nine contextual categories that influence such engagement. We propose several possible metrics for measuring patient engagement during three stages (before service, at/during service and after service) of remote consultation, as well as interventions and possible options for improving patient engagement therein.

The primary contribution of our research is the development of a comprehensive framework for patient engagement in remote consultation that draws on insights from literature in several disciplines. In addition, we have linked the three dimensions of engagement with the clinical process to create a structure for future engagement assessment. Furthermore, we have identified impact factors and outcomes of engagement in remote consultation by understanding which can help to improve levels of adoption, application and satisfaction, and reduce healthcare inequality. Finally, we have adopted a “cyclic” perspective and identified potential interventions that can be combined to further improve patient engagement in remote consultation.

The complex challenges facing the healthcare sector call for a revision of the ways it can provide high-quality services with economic sustainability. Revision can proceed along different pathways. Among the new paradigms of healthcare is the shift from a silo approach by hospitals towards an integrated, multidisciplinary approach. This entails restructuring hospitals in disease centres and exploring how AI can aid in the integration of hospital services and community care. Reorganization is vital to the development of patient-centred healthcare and the holistic approach. To achieve these goals, healthcare and policy decision-makers need to consider both the administrative and the clinical aspects of everyday issues. AI can play a key role in helping balance this duality. The overarching objective is to create interdisciplinary therapeutic and diagnostic pathways within care networks shared between the hospital and the community. This involves the analysis of huge amounts of data and interdisciplinary knowledge beyond the grasp of an individual. Therefore, knowing how AI can help in the development and reorganization of community healthcare is essential for clinical leaders to take advantage of this enormous opportunity in larger settings.

Common challenges for healthcare systems worldwide are population ageing, rising therapy spending and reduced economic resources. In response, AI can play a crucial role in facilitating managerial and economic objectives within a holistic vision of care and improve the experience of patients and professionals. AI may change the delivery of services and the demand for them as well. This raises questions of how to balance the supply and demand sides of healthcare services, how to leverage competitive positioning and how to differentiate strategies specific to the public and to the private sector.

Digital detox practices seek to encourage tourists to disconnect from their devices and immerse themselves in the destination they are visiting. This may involve activities such as meditation, yoga or simply abstaining from social media and email. The impact of digital detox practices on tourist experiences can vary depending on the individual. While some tourists may find it difficult to disconnect from their devices, others may appreciate the opportunity to fully engage with their surroundings without distractions. Ultimately, digital detox practices have the potential to promote mindfulness and enhance the overall travel experience for those who are willing to try them.

In this section, digital detox defined and different forms are mentioned. The motivation factors of digital detox tourism activities carried out in this context and destinations and businesses for digital detox holidays will be examined. The chapter concluded by analysing the feedback obtained from consumers on TripAdvisor. This chapter provides a valuable contribution to the present digital detox tourism, which is in the market as a new touristic product by offering a comprehensive literature review. In addition, the chapter examines the review of comments made by tourists on TripAdvisor about digital detox tourism. The chapter further offers recommendations to tourism businesses on how to enhance their services in this domain. As a result, this section is expected to make a valuable contribution to both the academic literature and the tourism industry, specifically in the area of digital detox tourism.

Artificial intelligence (AI) applications are increasingly used for day-to-day operations in healthcare. Each has a relatively limited scope or task, and several find application in managerial and organizational processes. More and more, AI and machine learning (ML) devices have received US FDA approval in the last decade. This chapter covers the main AI applications in healthcare, with a focus on organizational AI solutions (administrative AI), the main AI developers, their investment and real-world data and case studies in healthcare and other sectors. AI can be applied in resource management and procurement, resource allocation, clinical case management, staff work shift scheduling and handling of emergencies. AI applications are becoming ubiquitous in hospital (e.g. emergency room and operating theatre) and outpatient settings (e.g. ambulatory care and dentistry clinics). Their implementation is expected to bring direct benefits for patient care and satisfaction. This chapter gives a broad definition of AI in healthcare settings, with a focus on administrative applications and their use in case study data.

This study aims to identify and assess the factors challenging the integration of artificial intelligence (AI) technologies in healthcare workplaces.

The study utilized a mixed approach, that starts with a literature review, then developing and testing a questionnaire survey of the factors challenging the integration of AI technologies in healthcare workplaces. In total, 46 factors were identified and classified under 6 groups. These factors were assessed by four different stakeholder categories: facilities managers, medical staff, operational staff and patients/visitors. The evaluations gathered were examined to determine the relative importance index (RII), importance rating (IR) and ranking of each factor.

All 46 factors were assessed as “Very Important” through the overall assessment by the four stakeholder categories. The results indicated that the most important factors, across all groups, are “AI ability to learn from patient data”, “insufficient data privacy measures for patients”, “availability of technical support and maintenance services”, “physicians’ acceptance of AI in healthcare”, “reliability and uptime of AI systems” and “ability to reduce medical errors”.

Determining the importance ratings of the factors can lead to better resource allocation and the development of strategies to facilitate the adoption and implementation of these technologies, thus promoting the development of innovative solutions to improve healthcare practices.

This study contributes to the body of knowledge in the domain of technology adoption and implementation in the medical workplace, through improving stakeholders’ comprehension of the factors challenging the integration of AI technologies.

Organizations are affected top-down by the overarching societies and bottom-up by foundational face-to-face encounters: societies provide norms, values, laws, institutions, beliefs, markets, political structures, and knowledge bases. What happens within organizations is done by people interacting with other people, arguing, discussing, convincing each other when preparing and making decisions. Organizations operate within social environments that leave their – however indirect – imprint on what is going on within organizations. This article argues that organizational sociology can benefit from an integrated theoretical framework that accounts for the embeddedness of organizations within the micro- and macro-levels of social order. The argument is developed in two main points: First, this article introduces the multilevel framework provided by Niklas Luhmann’s systems theory to demonstrate how organizations are shaped by the functionally differentiated macro-structure of society. Organizations follow and reproduce the operational logics of societal domains such as the political system, the economy, science, law, religion, etc. Second, this paper demonstrates how organizations are shaped by micro-level dynamics of face-to-face interactions. Face-to-face encounters form a social reality of its own kind that restricts and resists the formalization of organizational processes. Here, this article draws on Erving Goffman’s and Randall Collins’ work on interaction rituals, emotions, and solidarity, which is inspired by Durkheimian micro-sociology. At the end, this article brings together all the elements into one general account of organizations within the context of their macro- and micro-structural social environments. This account can yield a deeper and more sociological understanding of organizational behavior.

The purpose of this study is to understand how faculty members perceive learning needs of the attention-deficit hyperactive disorder (ADHD) student, as they acclimated to and performed within the higher education settings.

A phenomenological design was used to explore the faculty perceptions of ADHD college students. A sample of ten faculty members, employed in two-year, four-year, and graduate-level programs, participated in virtual semi-structured interviews. A six step thematic analysis of the codes was performed revealing three themes.

Results from the study yielded three themes: problem-based learning, time management and accommodations versus privilege. These themes highlight the complexity of the learning process, the limitations with time management, and the need for meaningful, rather than stereotypical, accommodations in these settings.

The number of students diagnosed with ADHD attending postsecondary education continues to rise, necessitating a critical lens on increasing neurodiversity-affirming practices in these settings. Despite noted strengths, students with this diagnosis struggle academically, resulting in academic challenges. To maximize each individual’s learning potential, systems of higher education need to carefully consider how to best design a positive learning environment with universally effective learning accommodations.

While faculty described accommodations and strategies provided to students, they also repeatedly shared concerning challenges and barriers to learning, as demonstrated by their students in various scenarios and situations. Results suggest areas of potential improvement, alongside the complexity of serving the need of the next generation of neurodivergent learners, in a world where equity and inclusion required additional time and thoughtful effort. Of greatest concern, perhaps, was the systems already in place, including offices of accommodations and services, that tended to use a “one-size-fits-all” approach, oversimplifying, rather than serving, student need.

Public health measures implemented early in the COVID-19 pandemic brought the idea of essential work into the public discourse, as the public reflected upon what types of work are essential for society to function, who performs that work, and how the labour of essential workers is rewarded. This chapter focusses on the rewards associated with essential work. The authors develop an intersectional lens on work that was officially deemed essential in 2020 to highlight longstanding patterns of devaluation among essential workers, including those undergirded by systemic racism in employment and labour law. The authors use quantitative data from the CPS-MORG to examine earnings differences between essential and non-essential workers and investigate whether the essential worker wage gap changed from month to month in 2020. The authors find that patterns of valuation among essential workers cannot be explained by human capital or other standard labour market characteristics. Rather, intersectional wage inequalities in 2020 reflect historical patterns that are highly durable and did not abate in the first year of the global pandemic.

This paper aims to explore how accounting is fostering neoliberal citizenship through the participants of Australia’s National Disability Insurance Scheme (NDIS). More specifically, this paper aims to understand how accounting discourse and the management accounting technique of budgeting, when intertwined with automated administrative processes of the NDIS, are giving rise to a pastoral form of power that directs people’s behaviour toward certain ends.

Publicly available data has been crafted into an autoethnographic case study of one fictitious person’s experiences with the NDIS – Mina. Mina is an amalgam created from material submitted to the Joint Parliamentary Standing Committee on the NDIS. Mina’s experiences are then analysed through the lens of Foucault’s concept of pastoral power to explore how accounting has contributed to marketising and digitising public disability services.

Accounting rhetoric appears to be a central part of rationalising the decision to shift to individualised disability funding. Those receiving payments are treated as self-governable, financially responsible subjects and are therefore expected to have knowledge of management accounting techniques and budgeting. However, NDIS’s strong reliance on the accounting concepts of funds, budgets, cost and price is limiting people’s autonomy and subjecting them to intervention and control.

This paper addresses calls to explore the interplay between accounting and current disability policies. The analysis shows that incorporating accounting into the NDIS’s algorithms serves to conceal the underlying ideology of the programs, subtly driving behaviours towards neoliberal objectives. Further, this research extends the Foucauldian accounting literature by revealing the contribution of accounting to reinforcing the authority of digital pastors in contemporary times.