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This paper attempts to rejuvenate waqf in the health sector by identifying and elaborating on its issues and challenges. The government budget for this sector is significant; thus, the present paper aims to provide a nongovernment budget to lessen the government's burden

This qualitative study uses structured in-depth interviews with 12 respondents to generate valuable insights and thoughts in order to frame recommendations.

The findings highlight the key themes: human resources, finance, collaboration and coordination, legal issues, basic healthcare insufficiency, data and digitalization, accountability and sustainability and infrastructure. The following are the proposed solutions: capacity building program (CBP), hybrid waqf scheme, big data connectivity, specific legal framework, refocusing and reallocating of resources for the health sector during and after the pandemic

This study focuses on Indonesia and Malaysia as the authors believe that these two countries have a lot of practice in the field. Further studies may focus on other countries, such as Pakistan.

This paper proposes potential ways to embrace government policy consideration, optimize the elaboration among productive waqf with other kinds, improve governance of and coordination among waqf institutions and increase the awareness to improve significant development.

By considering this paper's recommendations, waqf stakeholders in the healthcare system can improve the social benefits for poor and needy patients.

This study presents the latest strategic analysis of waqf, which is important for the government policy in developing waqf.

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.

The paper aims to investigate the practices facilitating the transformation of healthcare services, understanding the resulting outcomes in terms of well-being and uplifting changes. a systematic literature review (SLR) focusing on analyzing the healthcare sector under the transformative service research (TSR) theoretical domain is conducted to achieve this goal.

Employing a structured SLR developed based on the PRISMA protocol (Pickering and Byrne, 2014; Pickering et al., 2015) and using Scopus and WoS databases, the study identifies and analyzes 49 papers published between 2021 and 2022. Content analysis is used to classify and analyze the papers.

The SLR reveals four transformative practices (how) within the healthcare sector under the TSR domain, each linked to specific well-being outcomes (what). The analysis shows that both practices and outcomes are mainly patient-related. An integrative framework for transformative healthcare service is presented and critically examined to identify research gaps and define the trajectory for the future development of TSR in healthcare. In addition, managerial implications are provided to guide practitioners.

This research is among the first to analyze TSR literature in the context of healthcare. The study critically examines the TSR’s impact on the sector’s transformation, providing insights for future research and offering a roadmap for healthcare practitioners to facilitate uplifting changes.

The study examines the amplifying role of users in the e-healthcare sector and holistically show its current state and potential. The paper aims at contributing to the scientific literature with a comprehensive review of the current state of the art on the application of user innovation (UI) in the e-healthcare sector, as a solid step for discussing the potential, trends, managerial gaps and future research avenues in this field. Despite the crucial importance of the topic and increasing attention toward it in the last few years, there is a lack of comprehensive scrutiny on different angles of involving users in health technology innovations so far.

This study combines two methods of bibliometric analysis and extensive content analysis of 169 journal articles on Scopus and Web of Science to unfold five research questions regarding the mechanisms of involving users, innovations characteristics and the role of users throughout the innovation process.

A clear result of the applied methodology is the profiling of users involved in e-health innovations in seven categories. The results of this study shed light on the current practice of not involving users in all the stages of the innovation process of m-health, telemedicine, self-managing technologies, which is contrary to the best practices of the UI application.

Collection of relevant studies due to lack of comprehensibility of the keywords.

The offered propositions can act as a roadmap to potential research opportunities as well as to organize such innovations from a managerial perspective in particular healthcare organization managers and the middle managers operating at R&D sectors and policymakers.

This study is the first of its kind that digs out the application of UI strategies such as user-centered design in the context of e-healthcare and provides a bibliometric and extensive content analysis of the studies conducted in this theme over the years.

This paper aims to identify the key issues that healthcare knowledge-intensive organizations (KIPOs) should focus on to define themselves as socioenvironmentally and governance responsible for integrating environmental, social, and governance (ESG) logic into their business strategy. At the same time, this provides an understanding of how healthcare KIPOs contribute to achieving the Sustainable Development Goals of the 2030 Agenda.

Taking a cue from the model developed by the World Economic Forum, an “ESG Processing Map” was constructed to identify qualitative disclosures that a healthcare company should consider when implementing sustainability logic. The aspects investigated were processed, considering national and international standards, frameworks and disclosures. The social network analysis technique was used to systemize and combine the outcomes of these processes and analyze their consistency with sustainable development.

Through the “ESG Processing Map,” 13 areas of action and 27 topics specific to the health sector were defined on which to intervene in sustainability in order to concretely help HCOs to place specific corrective and improvement actions over time concerning socioenvironmental and governance aspects.

The paper provides contribute, on the one hand, to enriching and updating the academic literature on ESG logic in a still underexplored field and, on the other hand, to provide these types of organizations with a “compass” to guide and orient their business strategies towards sustainability.

Corporate social responsibility (CSR) in India includes education, environment, healthcare and rural development. In post-liberalized India, the healthcare sector (services and facilities) has grown in leaps and bounds over last two decades. The purpose of this paper is to reveal and explain the CSR profile of select healthcare companies of India and reveal gaps and scope of healthcare activities with a special consideration towards maternal health.

Primary data are collected from seven listed companies of Goa state which were willing to participate in the study. In total, 67 companies constituting the Healthcare Sector Index of Standard & Poor of the Bombay Stock Exchange are considered as secondary source. Data of 59 companies that come within the threshold of Companies Act, 2013, are studied. CSR guidelines (with a turnover of Rs 10bn or a market capitalization of Rs 5bn or a net profit of Rs 50m) are taken as an initial frame of reference.

In total, 89.83 per cent of these companies have initiatives related to health care. Structured companies (contribute to the company’s overall mission and goals) with CSR policy have committee size varying from three to five directors with an independent director. During 2016–2017, they were mandated to spend Rs 4.2613bn out of which only 74.59 per cent was spent. Geographical spread of CSR initiatives is skewed, with majority of companies focussing on the states of Maharashtra and Gujarat, whereas the states of Odisha and North-Eastern being neglected. The focus areas of CSR are education, healthcare and rural development. The variation of MMR in different states of India is an indicator for corporate as to which state needs more attention. The corporate sector in India needs to focus on SDG3 target of MMR and move towards a newer dimension and direction.

The originality of this paper lies in the recognition of the initiative of Government of India of weaning out CSR activities outside the purview of business sense and towards instilling a social sense in company behaviour. This is a dimensional and directional change in the evolution of CSR practices in companies and countries. To this end, 59 healthcare sector companies under the threshold of Companies Act 2013 were studied and results were outlined.

This paper explores innovation adoption in inter-organizational healthcare networks. The authors develop theoretical speculations to investigate better the role of artificial intelligence (AI) as an innovative tool to improve buyer-supplier relationships, creating better performance outcomes.

The research is based on a theoretical investigation aiming at exploring the role of AI-based solutions for managing buyer-supplier relationships. The conceptual approach allows us to identify some research streams (e.g. co-working collaborations in supply chain management) by proposing a matrix that helps clarify the analysis's directions.

The results show the importance of AI that can help the operator in accessing supplier information, including current prices, available stocks, and delivery status, thereby reducing the risk of information asymmetry. AI is intended not only as a technology tool but also as an innovative solution to promote business relationships and support vertical alliances through the value chain between buyer and supplier.

This paper can help healthcare actors examine the choices behind their operational strategies by providing transparency of the activities and availability of information in real-time. Finally, our study reflects the future directions to enhance the cooperation and innovation adoption among healthcare operators.

The study's aims are to identify healthcare innovation variables, explore innovative work behavior’s (IWB's) influence on Saudi health sector companies and evaluate the mediating function of transformational leadership in the link between IWB and healthcare organizations. In this backdrop, the purpose of the current research was to investigate the impact of creative work behavior on organizational performance and the role of transformational leadership in this process.

The objective of this quantitative cross-sectional study was to examine, according to 587 participants, the perceived elements of creative work behavior (RQ1). In various 10 departments of the 5 Dammam Health Network (DHN) in the Eastern Province of Saudi Arabia, online questionnaires were used to collect data. SmartPLS 3 software was used to analyze the data.

The findings indicated that healthcare professionals perceive the elements of autonomy, competence, relatedness, motivation and knowledge sharing as key features that influence high efficiency in organizational efficiency (p < 0.001). IWB also had a significant and direct positive influence on organizational performance (p < 0.001). Transformational leadership behavior had an insignificant negative effect on employees’ task performance when considering organizational performance (P = 0.122). Therefore, the mediation role did not affect the relationship with IWB concerning employees’ task performance, suggesting that transformational leadership behaviors did not have a mediating effect on the effectiveness of employees’ task performance.

This article contains original analysis and interpretation highlighting integrating IWB and transformational leadership into Saudi Arabia's national healthcare system that can help address specific difficulties facing healthcare practitioners.

The purpose of this study is to examine the state of research into adoption of machine learning systems within the health sector, to identify themes that have been studied and observe the important gaps in the literature that can inform a research agenda going forward.

A systematic literature strategy was utilized to identify and analyze scientific papers between 2012 and 2022. A total of 28 articles were identified and reviewed.

The outcomes reveal that while advances in machine learning have the potential to improve service access and delivery, there have been sporadic growth of literature in this area which is perhaps surprising given the immense potential of machine learning within the health sector. The findings further reveal that themes such as recordkeeping, drugs development and streamlining of treatment have primarily been focused on by the majority of authors in this area.

The search was limited to journal articles published in English, resulting in the exclusion of studies disseminated through alternative channels, such as conferences, and those published in languages other than English. Considering that scholars in developing nations may encounter less difficulty in disseminating their work through alternative channels and that numerous emerging nations employ languages other than English, it is plausible that certain research has been overlooked in the present investigation.

This review provides insights into future research avenues for theory, content and context on adoption of machine learning within the health sector.

Fragmentation can inhibit joint goals and performance measures. Therefore, the purpose of this study is to investigate the level of fragmentation between public, private and third sectors in a hybrid organization's performance management systems and the effects of this fragmentation to propose hypotheses and new research methods for future studies.

The inductive research design was based on a mixed method approach. As empirical data, a survey, interviews and documents were used in this case study examining a hybrid organization called Welfare Alliance.

The results showed low-level fragmentation in the performance management system of the hybrid. Although the level of fragmentation was low-level, it affected the hybrid's ability to implement joint performance goals and measures. Performance management practices suffered as a consequence.

As a theoretical contribution to research addressing performance management in hybrids, the study proposes new concepts and theoretical hypotheses concerning fragmented performance management systems in hybrids. These theoretical hypotheses propose how performance goals and measures can become fragmented because they isolate service production units and activities from each other. The proposed hypotheses for future studies also attempt to provide explanations for how fragmentation can spread from one management function to another (i.e. from goal setting to performance measurement).