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The primary objective of this paper is to show a systematic and methodological approach for the digitalization of critical clinical pathways (CPs) within the healthcare domain.

The methodology entails the integration of service design (SD) and action research (AR) methodologies, characterized by iterative phases that systematically alternate between action and reflective processes, fostering cycles of change and learning. Within this framework, stakeholders are engaged through semi-structured interviews, while the existing and envisioned processes are delineated and represented using BPMN 2.0. These methodological steps emphasize the development of an autonomous, patient-centric web application alongside the implementation of an adaptable and patient-oriented scheduling system. Also, business processes simulation is employed to measure key performance indicators of processes and test for potential improvements. This method is implemented in the context of the CP addressing transient loss of consciousness (TLOC), within a publicly funded hospital setting.

The methodology integrating SD and AR enables the detection of pivotal bottlenecks within diagnostic CPs and proposes optimal corrective measures to ensure uninterrupted patient care, all the while advancing the digitalization of diagnostic CP management. This study contributes to theoretical discussions by emphasizing the criticality of process optimization, the transformative potential of digitalization in healthcare and the paramount importance of user-centric design principles, and offers valuable insights into healthcare management implications.

The study’s relevance lies in its ability to enhance healthcare practices without necessitating disruptive and resource-intensive process overhauls. This pragmatic approach aligns with the imperative for healthcare organizations to improve their operations efficiently and cost-effectively, making the study’s findings relevant.

This study investigates the pathways for adopting IoTs and BDA technologies to improve healthcare management.

The study relied on 445 healthcare professionals' perspectives to explore different causal pathways to IoTs and BDA adoption and usage for daily healthcare management. The Fussy-set Qualitative Comparative Analysis was adopted to explore the underlying pathways for healthcare management.

The empirical analysis revealed six different configural paths influencing the acceptance and use of IoTs and BDA for healthcare improvement. Two key user topologies from the six configural paths, digital literacy and ease of use and social influence and behavioural intentions, mostly affect the paths for using digital health technologies by healthcare physicians.

Despite this study's novel contributions, limitations include the fsQCA methodology, perceptual data and the context of the study. The fsQCA methodology is still evolving with different interpretations, although it reveals new insights and as such further studies are required to explain the configural paths of social phenomena. Additionally, future research should consider other constructs beyond the UTAUT and digital literacy to illustrate configural paths to healthcare technology acceptance and usage. Again, the views of healthcare professionals are perceptual data. Hence future research on operational data will support significant contributions towards pathways to accept and use emerging technologies for healthcare improvement. Lastly, this study is from a developing country perspective where emerging digital healthcare technology is still emerging to support healthcare management. Hence, more investigation from other cross-country analyses of configural paths for digital technology deployment in healthcare will enhance the conversation with IoTs and BDA for healthcare management.

Holistically, the acceptance and use of healthcare technologies and platforms is not solely on their capabilities, but a combination of distinct factors driven by users' perspectives. This offers healthcare administrators and institutions to essentially reflect on the distinct combinations of conditions favourable to health professionals who can use IoTs and BDA for healthcare improvement.

This study is among the few scholarly works to empirically investigate the configural paths to support healthcare improvement with emerging technologies. Using fsQCA is a unique contribution to existing information system literature for configural paths for healthcare improvement with emerging digital technologies.

Construction workers’ safety behavior has been proven to be crucial in preventing occupational injuries and improving workplace safety, and organizational safety support provides essential resources to promote such behavior. However, the specific mechanisms of how organizational safety support affects safety behavior have not been thoroughly explored. Therefore, this study explored the relationship between workers’ perceived organizational safety support (perceived supervisor/coworker safety support) and safety behavior (safety task/contextual behavior), while considering the mediating effects of safety motivation, emotional exhaustion, and the moderating effect of psychosocial safety climate.

Based on the quantitative research method, the hypothesis was tested. The data were collected from 500 construction workers using a structured questionnaire. Observed variables were tested using confirmatory factor analysis, and the path coefficient of fitted model was then analyzed including the associated mediating and moderating effects.

The study found that (1) safety support from both supervisors and coworkers directly forecasted both types of safety behavior, (2) safety motivation was primarily predicted by perceived supervisor safety support, and perceived coworker safety support better predicted emotional exhaustion. Safety motivation mediated the relationship between perceived supervisor safety support and safety contextual behavior, and emotional exhaustion mediated the relationship between both types of safety support and both types of safety behavior, (3) psychosocial safety climate moderated the pathway relationships mediated by safety motivation and emotional exhaustion, respectively.

The samples of this study were mostly immersed in eastern culture and the construction industry, and the cultural and industry diversity of the samples deserves further consideration to enhance the universality of the results. The cross-sectional approach may have some impact on the accuracy of the results. In addition, other potential mediating variables deserve to be explored in future studies.

This study provides a new basis for extending current theoretical frameworks of organizational safety support and safety behavior by using a moderated mediation model. Some practical insights on construction safety management have also been proposed based on the research findings. It is recommended that practitioners should further raise awareness of the critical role of supervisor-worker and worker-coworker relationships, as high levels of safety support from the supervisor/worker respectively effectively encourage safety motivation, alleviate emotional exhaustion, and thus improve workers’ safety performance. Meanwhile, the psychosocial health conditions of workers should also receive further attention.

Social impact research remains in its infancy. The purpose of the paper is to build on Keeling and Marshall’s (2022) “Call for impact” paper and develop a comprehensive social impact pathway (SIP) framework. The aim is to encourage marketing researchers, non-profits and corporations to pursue impactful work that is valued, planned, monitored and evaluated.

The conceptual paper explores the complexities of estimating social impact drawing from a range of illustrative cases.

The paper identifies a lack of clarity in the understanding and application of impact and presents a pathway aimed at increasing focus on social impact across future work to deliver the net-positive changes that are needed to reverse biodiversity decline, climate change and social and health inequalities that continue to be persist and be experienced by so many planet wide.

This paper contributes a pathway forward to encourage and support increased utilisation of the framework in future marketing research.

Mapping and measuring SIPs are concerted efforts directing understanding towards identifying the activities that are contributing to the delivery of outputs that can achieve intended outcomes. The measurement of impact directs investment towards activities that ensure net-positive gains are achieved.

Ever growing social inequities, health disparities, loss of biodiversity and environmental degradation occur when practices are left unchecked. A focus on impact avoids greenwashing practices, ensuring that an understanding of what has changed because of the work is transparently reported.

This paper aims to encourage marketing researchers to engage in social change projects, rather than solely disseminating academic findings. Emphasising the importance of an outside-in approach, this paper highlights the necessity of showcasing accumulated outcomes to demonstrate impact.

This study aims to ascertain the personal characteristics of a group of successful academic entrepreneurs in a South African university enterprise and the prevalent barriers and enablers to their entrepreneurial endeavour.

The authors used a Delphi process to identify and rank the characteristics, enablers, barriers and behaviours of entrepreneurial academics, with a Nominal Group Technique applied to establish challenges they encounter managing their enterprise and to propose solutions.

Perseverance, resilience and innovation are critical personal characteristics, while collaborative networks, efficient research infrastructure and established research competence are essential for success. The university’s support for entrepreneurship is a significant enabler, with unnecessary bureaucracy and poor access to project and general enterprise funding an impediment. Successful academic entrepreneurs have strong leadership, and effective management and communication skills.

The main limitation is the small study participant group drawn from a single university enterprise, which complicates generalisability. The study supported the use of Krueger’s (2009) entrepreneurial intentions model for low- and middle-income country (LMIC) academic entrepreneur investigation but proposed the inclusion of mitigators to entrepreneurial activation to recognise contextual deficiencies and challenges.

Skills-deficient LMIC universities should extensively and directly support their entrepreneurial academics to overcome their contextual deficiencies and challenging environment.

This study contributes to addressing the paucity of academic entrepreneur research in LMIC contexts by identifying LMIC-specific factors that inhibit the entrepreneur’s movement from entrepreneurial intention to entrepreneurial action.

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.

Value-based healthcare suggested using patient-reported information to complement the information available in the medical records and administrative healthcare data to provide insights into patients' perceptions of satisfaction, experience and self-reported outcomes. However, little attention has been devoted to questions about factors fostering the use of patient-reported information to create value at the system level.

Action research design is carried out to elicit possible triggers using the case of patient-reported experience and outcome data for breast cancer women along their clinical pathway in the clinical breast network of Tuscany (Italy).

The case shows that communication and engagement of multi-stakeholder representation are needed for making information actionable in a multi-level, multispecialty care pathway organized in a clinical network; moreover, political and managerial support from higher level governance is a stimulus for legitimizing the use for quality improvement. At the organizational level, an external facilitator disclosing and discussing real-world uses of collected data is a trigger to link measures to action. Also, clinical champion(s) and clear goals are key success factors. Nonetheless, resource munificent and dedicated information support tools together with education and learning routines are enabling factors.

Current literature focuses on key factors that impact performance information use often considering unidimensional performance and internal sources of information. The use of patient/user-reported information is not yet well-studied especially in supporting quality improvement in multi-stakeholder governance. The work appears relevant for the implications it carries, especially for policymakers and public sector managers when confronting the gap in patient-reported measures for quality improvement.

Addressing workforce shortages in operations and supply chain management (OSCM) necessitates adaptive measures by both individuals and organizations, with a pivotal role played by Human Resources (HR). This impact pathway delves into how healthcare organizations can effectively manage workforce shortages, informed by HR practices. Through an in-depth understanding of healthcare organizations, the authors pinpoint challenges and concerns linked to workforce shortages. Pathways are proposed to stimulate future OSCM research and collaboration, leveraging innovative and creative methods from the HR field.

Data was collected from various representatives from healthcare organizations to explore how healthcare organizations for people with intellectual disabilities address the challenges stemming from contemporary workforce shortages.

Three pathways were outlined to address workforce shortages in healthcare supply chains, utilizing intellectual disability care as a representative example. These pathways comprise optimizing the potential of the current workforce, illustrating innovative HR practices for enhancing their performance, and proposing strategies for retaining these valuable workers.

Despite its potential, the HR domain remains relatively underdeveloped within OSCM research. The authors show how HR practices can potentially mitigate impending workforce shortages. While utilizing intellectual disability care as a representative example, this paper proposes that the impact pathways identified can be extended to various other healthcare settings.

This chapter examines why the central banks might need to engage in innovation work. Externalities and public good rationales for innovation at central banks are examined. This chapter then looks at different tools such as sandboxes, innovation hubs and TechSprints that the central banks might use to promote innovation with external stakeholders, and how the central banks can promote internal innovation within the central banks. Governance issues related to innovation promotion are also examined.

The European funded project ADLIFE focuses on the application of digitally enabled integrated care for people with advanced chronic diseases. The implementation of the ADLIFE intervention required a robust practical tool that would be common to all pilot sites while allowing flexibility for local variations as well as the ability to adapt to unanticipated changes and problems.

The ADLIFE project combined the concepts of implementation research and formative evaluation with the standardized operating procedures (SOP) methodology. The ADLIFE project significantly modified the SOP approach and used it as a means to not only to define and organize the tasks that needed to be performed in preparing and implementing the ADLIFE intervention but also to create a deeper understanding of the unique challenges faced in each site, as well as a method for achieving a consensus.

The ADLIFE SOPs were developed by a dedicated working group, and they encompassed the preparatory phase leading up to implementation of the intervention. The SOP was also the basis for monitoring the implementation, and this created a structure for the dynamic ongoing tactical and even strategic changes necessitated by local diversity as well as many unanticipated changes.

The SOP methodology was useful in supporting the development of the ADLIFE SOP, which was a consensus-based approach to guide for managing the implementation process, both at project and local levels. It has supported continuous improvement and learning throughout the project. Both the process and the SOP produced by the process can be readily adapted and used in other similar projects.