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The recent pandemic of COVID-19 has posed challenges for delivering essential and desirable health-care services for the masses. Digital health-care services initiated by several hospitals and health practitioners promise efficient and safe health care in the new normal post-COVID era but need a supportive enabling ecosystem. Therefore, this study aims toward identifying and modeling the key enabling factors for digital health-care services.

A total of nine factors were identified from the literature review and verified by the domain experts which can enable the wider acceptance of digital health-care services. The identified factors were then modeled with the help of the total interpretive structural modeling (TISM) approach and fuzzy Matrices d’Impacts Croises Multiplication Appliquée à un Classement (MICMAC) and a meaningful contextual relationship were developed for the factors.

This study reflects that the trust of patients is required for the acceptance of digital health care. Quality of patient care and affordability cum accessibility of online services will define mass engagement. Hospital staff resilience, hospital care service capacity, strategic partnerships and collaborations supported by technology and regulatory structure are the major factors defining the enabling ecosystem.

This study has its uniqueness in the way the TISM approach and fuzzy MICMAC are used for modeling the enabling factors toward growth and acceptance of digital health-care services in the days to come in developing nations. The focus of this study can be considered as relevant for the study interested in investigating the role of cognitive dimensions in influencing actors’ behaviors and decisions.

The Covid-19 pandemic encourages organized structures across health sectors to react to the outbreak and digital health technologies have been identified as promising pillars to respond to the outbreak across the globe. The purpose of this study is to address the scoping review aimed at identifying the innovative entrepreneurial opportunities in digital health-care ecosystems. The study highlights the barriers to digital health in developing countries. The study is a forum for the introduction of entrepreneurship prospects in the Indian sense through other foreign readers in developing countries.

This archival study highlights topical literature to explore successful ways of improving market potential in developed countries with respect to digital health. The research offers insights into how a digital health environment could be applied, provides a trajectory that concentrates on key skills and a creative approach.

Health service providers require developing their competency and skills to accelerate and enhance their entrepreneurial opportunities. Social network dynamics analyzes are particularly helpful in modeling pandemic trends and in tracking post-pandemic digital health needs. The acceptability of digital solutions has to be confronted across developing countries especially in rural areas and a collective public health benefit in form of entrepreneurship to serve the society.

The research temporarily indicates a creative solution to entrepreneurship in developed countries that can be applied in today’s digital arena.

To raise public understanding of the advantages of digital health systems in developed regions, health education and promotion campaigns should be focused. The idea analysis can be useful benchmarks for policymakers rather than digital health jurisdictions. The post-pandemic provides developed countries a great opportunity for advanced technology to expand connectivity and networking to digital health entrepreneurship.

The purpose of this study is to provide current state of knowledge on how the COVID-19 emergency situation necessitated the behaviour influencing use and acceptance of telehealth. This study interlinks the health belief model (HBM) and the unified theory of acceptance and use of technology (UTAUT) to highlight the challenges and opportunities as a result of the COVID-19 pandemic in the public health sector.

This study used three online databases (Emerald publishing, Science Direct and Taylor and Francis) that enabled the authors to access electronic journal articles. Search strategy was used to extract articles based on the relevance of this study.

The key findings from this study suggested that the COVID-19 emergency forced health-care workers and their patients to rapidly use and rely on telehealth to reduce the rate of COVID-19 transmissions. The key benefits of telehealth use highlighted an expansive cost effective and convenient access to health-care services irrespective of geographical local and levels of physical impairment. Moreover, telehealth inhibited in person human interaction, which was perceived as impersonal and not ideal for new patient consultations. The barriers outweighed the benefits; as a result, it is unlikely that there will be a wide use of telehealth beyond the COVID-19 emergency situation.

The research findings are limited to discussions drawn from available secondary data. The criteria within telehealth for policymakers to note the technology acceptance and use for both health-care and outpatient stakeholders and their health seeking behaviour. Health-care sectors (private and public) and government need to understand enablers of effective telehealth in policymaking to ease the barriers during an emergency situation like a pandemic.

This study contributes to the emerging literature on how COVID-19 pandemic has disrupted and accelerated telehealth by extending both the UTAUT and HBM theories. This study is expected to contribute and expand literature on telehealth during emergency situations, given the novice nature of COVID-19 and limited literature surrounding it.

The purpose of the study was to empirically validate the linkages between IoT adoption and how it overarched influenced the patient care service engagement. This contributes to the body of knowledge and helps hospital managers to understand the relationship and relevance of IoT adoption; otherwise healthcare sector are late movers towards technology adoption. This gives a nuanced framework towards establishing empirically validated framework which will motivate healthcare services providers to be motivated to adopt and implement IoT enabled care delivery. The physician patient interaction and alignment during decision making will foster positive word of mouth, superior care service and reduce extra overheads for healthcare providers without compromise or rather with increment in service delivery proposition.

The study theoretically and empirically describes that with the adoption of internet of things (IoT) devices in health care, better services can be provided to patients by using partial least square – structure equation modelling-based robust technique and explains the better understanding of the health-care process with the help of information pervasiveness, physician-patient orientation and improved patient and physician involvement in the decision-making process.

This study shows that wearable IoT device adoption in health-care service delivery opens new opportunities and disrupts the conventional and traditional way of health-care service delivery by empowering the patient to take part in decision-making and enhancing their engagement in health-care service delivery.

The study might influence by generalizability. Perception-based cross-examination knowledge from the patient’s perspective. It is likely that patients who use these devices will grow accustomed to using them and become more capable of using them. Thus, time-series tests have not been used to catch enhanced skills. New patients’ experiences will be altered over time. Regardless, non-response bias and traditional process bias received excessive interest.

The study aims at unravelling how the adoption of IoT enabled practices and usage of IoT devices bolsters the available data points in the context of healthcare especially with respect to patient care delivery. The study conceptualizes and empirically validates how the usage of IoT interface enabled technology enables better patient treatment and caregiver participation. The study puts forth a nuanced understanding regarding how pervasively available ubiquitous care information fosters shared decision making. This study further emphasizes that importance of ensuring a reliable computing environment devoid of privacy and security risks. The study attempts at Emphasizing empirically how the enhanced information pervasiveness catapults the patient-provider interactions, through health data exchange. Highlighting the importance of search feature in cloud storage and recovery mechanisms. The study not only fulfills the overarching linkage between enhanced service engagement with IoT adoption, it provides a mental map and ready to refer framework for hospital and healthcare experts to refer to, which prescribes thar care providers must build new methods aimed at empowerment of patients to participate and take more inclusive role. This unique confluence between patients and physicians will unravel the sync; helping not only avoid costly decision errors, but also improve patient care delivery environment. Patients should be permitted to participate in decision-making,inspire patients to be participatory.

The study efforts to empirically investigate and discover the link between how wearable sensor-based IoT enhances health-care service engagement is underway. Using primary data this linkage validation allows the community and readers at large to gain a nuanced understanding of how superior interaction is enabled by a digital-health-care process with the help of IoT-enabled information pervasiveness, physician-patient orientation and empowered involvement.

The purpose of this paper is to understand the factors influencing the adoption decision of patients towards digital consultation in India with gender as a moderating variable. This study is based on the unified theory of acceptance and use of technology (UTAUT2) framework for examining the factors influencing adoption decisions for digital consultation and to what extent this leads to continuous usage intention.

Based on the UTAUT2 framework, this study proposed a set of hypotheses that were tested using structural equation modeling. This study was based on primary data collected from 462 sample respondents using the judgemental sampling method who had experience of using digital health consultation in India.

Findings of this study revealed significant and positive causation in the behavioural intention (BI) of a patient to adopt digital health consultation arising out of performance expectancy, effort expectancy, social influence, facilitating condition and price value; however, habit is insignificantly associated with the same. Furthermore, the results of this study also revealed that the BI of a patient towards digital health consultation is significantly moderated by their gender.

This study conceptually strengthens the present body of literature on the adoption behaviour by contributing certain new dimensions in the context of digital health consultations and will also help policymakers and service providers in crafting their strategy for promoting the adoption of digital health consultation.

In this global digital era, health-care companies are increasing their presence on the internet through branded content that serves as a connecting link between customers and brands. However, there is a limited understanding of branded content’s impact on customers. Thus, this paper aims to empirically analyse customer engagement for branded content in the health-care sector.

The factors impacting customer engagement for branded content were identified and analysed using the Decision-Making Trial and Evaluation Laboratory approach to get their significance and the cause and effect relationship.

It emerged that co-creation is the most significant factor, having a substantial relationship with all other factors. It is substantiated that health-care companies can increase the intensity of customer engagement by delivering more authentic and relevant content and having an appealing look in a time-bound manner. This will increase the usefulness and entertaining value of the content.

The research findings contribute to the customer engagement dimension in the health-care sector and help the companies construct effective branded content leading towards higher customer engagement.

Service research has previously documented service providers’ role in addressing the barriers of technology mediation, mostly at the service delivery level. The purpose of this study is to enhance our understanding about the role of service providers who hold strategic and operational roles, as well as investigate the impact of coordinated, organization-wide initiatives in dealing with the demands and associated emotional ambivalence of technology-mediated services.

This qualitative study draws from a series of in-depth interviews with health-care service providers who hold strategic and operational roles in health-care organizations along with participant observation to develop an understanding of the broader organizational context of telehealth services.

This paper outlines the strategic sense-giving process and highlights how health-care service providers who hold strategic and operational roles enact the sense-giver role. This study illustrates that strategic sense-giving involves the recognition of sense-making gaps; identification of sense-giving opportunities; and provision of templates of action.

This study illustrates that sense-giving can be performed by a number of organizational members in a more formalized way which extends informal sense-giving efforts at the peer-to-peer level. The importance of strategic sense-giving in providing templates of action for service providers and consumers is highlighted. This study also shows how strategic sense-giving safeguards against confusion and errors by communicating appropriate ways of using technology. Finally, the role of strategic sense-giving in helping service providers and consumers cope with the emotional ambivalence of technology-mediated service interactions are demonstarted.

The importance of champion leaders including tech-savvy leaders to digital government has been highlighted in the literature. Meanwhile, what was in the authors’ interest to explore was the role of business-savvy leaders or non-governmental digital champions as units of analysis, those who mobilized people's interest in digitalization and bypassed governmental barriers through this popular mobilization. They could be considered policy entrepreneurs for understanding policy change in the digitalization of the health sector. This study sought to shed light on the barriers and drivers of digital health in Iran.

The researchers conducted interviews with actors of digital health businesses in Iran, including the Health Information Technology Center affiliated to the Ministry of Health and Medical Education (MOHME) administrative body and authorities, private companies active in digital health and health service providers. The purposive sampling method was applied, and 15 experts with relevant and valuable experiences as well as maximum variation to obtain representativeness and rich data were interviewed. Trustworthiness criteria were also used to assure the quality of the results. The data were analyzed based on directed content analysis using the MAXQDA10 software.

It was found out how popular diffusion was effective to overcome barriers to health digitalization. Access to the internet and diffusion of information technology helped the net-enabled businesses to connect directly to people and provide services to them. Diffusion of these services forced the public sector to adjust itself, and thus MOHME banned digital consultation services because of the so-called “insecure and unknown physicians”, following the increased popularity of digital services diffusion, but they were not able to resist popular diffusion of new technology. Hence, it was allowed to work. The main barriers to telemedicine spreading in Iran have been divided into five main categories including government incapacity for digital health governance, conflict of interest, professional obligations for information transparency, protection of patients' rights and data security and privacy.

As a game changer in digital health governance in Iran, popular diffusion will determine the future of digital health. To the best of the authors’ knowledge, this study is among the first ones to explore digital health governance in relation to the private digital health business in Iran with a public policy approach.

The e-health services came up as an effective tool to mitigate effects of COVID-19 and following social distance norms. This study highlighted an issue of contentious usage intentions of e-health services among Thai older citizens. This study aims to examine the relationship of social influence (SI), information quality (IQ) and the digital literacy (DL) to contentious usage intentions.

This study follows quantitative techniques, and the sample size is 140 to analyze, that is collected from the older Thai citizens. The convenient sampling technique was used to collect the data and the items were measured by using a five-point Likert scale.

The findings of this study are having mixed results. The effect of DL and satisfaction (SAT) on continuous usage intention (CUI) is significant. The effect of IQ and SI on CUI is non-significant. The effect of IQ and SI on SAT is significant. Further, the mediating effect of SAT between IQ and CUI is non-significant. However, the mediating effect of SAT between SI and CUI is significant.

This study contributes to knowledge by empirical testing of DL and usage of the medicine. Furthermore, to the best of the authors’ knowledge, this study is one of the rare studies that incorporate technological intervention for drug usage intentions.

Drawing on the adapted unified theory of acceptance and use of technology (UTAUT2) framework in the bottom of pyramid (BoP) context, this paper examines the number of causal recipes that foster m-health adoption in a developing country (Bangladesh). This paper aims to propose an extended UTAUT2 model along with identifying the necessary and sufficient factors affecting the m-health adoption intention in the BoP market.

The research model was empirically tested, combining two approaches: structural equation modelling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). Data were collected from 221 housemaids and female security guards who earn around US$6 per day.

The SEM results revealed that while performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions, perceived cost (PC) and technology anxiety (TA) significantly influence the behavioural intention of BoP markets, hedonic motivation is the non-significant predictor. The fsQCA revealed that the two necessary conditions, PC and SI, can be combined with TA to increase the possibility of the success of m-health adoption in the BoP market.

For practitioners concerned with fostering the m-health adoption intention in BoP markets, the present study, which points out equifinality, recommends integrating the PC and SI in several combinations with PE, EE and TA.

To the best of the authors’ knowledge, no previous studies using the UTAUT2 theory examined the m-health services in the BoP market. This study contributes empirical data to the predominantly theoretical literature by offering a deeper understanding of the inclusion of TA and PC in several combinations with other UTUAT2 factors as predictors for explaining the m-health adoption intention of BoP markets.