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The aim of this study is to comprehend the behavioural intention of females' perception toward smart healthcare technology. The study also examines the moderation effect of social influences between perceived smart healthcare technology and perceived usefulness among female users.

To test the model, this study collected data from female respondents (n = 913) responses. The data were analyzed by structural equation modeling (SEM) using Smart-PLS 3.2. To complement the findings from structural equation modeling, the study also conducted a post-hoc test via experimental research design. The authors also applied a t-test and PROCESS macro analysis to re-confirm the relationship mentioned above.

The findings revealed that perceived ease of use significantly mediates the relationship between females' perceived smart healthcare technology and intention to use. The findings also show that social influence moderates between smart healthcare technology and the perceived usefulness relationship.

Social influence is one of the major issues while adopting smart healthcare technology because the respondents perceived that they are accustomed to the technologies related to smart health once their surroundings and social environment influence them.

The current study is a pioneer in the context of a developing country and unique in that it makes two contributions: it extends previous research on smart health technology adoption in the healthcare business by considering females, and it gives a broad knowledge of the female healthcare consumers from emerging nations which can be useful for developing technology-driven healthcare services strategies.

The primary purpose of this paper is to investigate the healthcare organization’s intention to use radio frequency identification (RFID) technology for improving efficiency. This paper also intends to identify various factors that influence the adoption of RFID in the healthcare organization. This paper develops and tests seven different hypotheses. These hypotheses are tested using structural equation modeling. Our results provide support for a number of relationships in the hypothesized model. These include direct relationships among the factors risk, resistance to change, supplier support and the factor perceived usefulness. However, the study did not find support for the relationship between the factors perceived ease of use and intention to use. The results provide support for several indirect relationships as well. These include indirect relationships between the factors perceived resistance to change, risk, suppliers’ support and perceived ease of use with the factor intention to adopt RFID technology in the healthcare organization. This research is grounded in the theory of reasoned action and applies the technology acceptance model (TAM) to the healthcare organization’s intention to use RFID technology.

The purpose of this paper is to identify the existing literature on the wide range of operations research (OR) studies applied to healthcare, and to classify studies based on application type and on the OR technique employed. The scope of the review is limited to studies which have been undertaken in the UK, and to papers published since the year 2000.

In total, 142 high‐quality journal and conference papers have been identified from ISI Web of Knowledge data base for review and analysis.

The findings categorise the OR techniques employed, and analyse the application type, publication trends, funding, and software packages used in the twenty‐first century in UK healthcare. Publication trends indicate an increasing use of OR techniques in UK healthcare. The findings show that, interestingly, the distribution of the OR techniques employed is not uniform; the majority of studies focus on simulation, either as the only technique employed or as one element of a multi‐method approach.

Several studies have focused on the use of simulation in healthcare modelling, but none has methodologically reviewed the use of the full range of OR techniques. This research is likely to benefit healthcare decision makers since it will provide them with an overview of the different studies that have utilised multiple OR techniques for investigating problems in the stated domain.

This paper aims to understand the strategic management of innovation by examining the effect that management control systems (MCS) have on innovation activities during the strategic change process.

A case study was carried out at an innovative company as they undertook a strategic change from closed innovation to open innovation. Simons’ levers of control was used to frame the ways in which MCS were designed and used by managers and the effect MCS have on the innovation activities of organization members.

The findings indicate that while managers designed and used MCS to support a drive toward open innovation, organization members did not change their innovation activities. Instead, the findings show that new MCS enabled improvements to their closed innovation strategy. This led to a decrease in the time taken to develop new products, which resulted in increased customer satisfaction, which contributed to the achievement of organizational goals.

By focusing on the relationship between MCS and innovation activities in the strategic change process, the paper sheds new light on the ability of MCS to change the innovation activities of organization members. Even though the innovation activities at our case company did not change the interactions between the MCS enabled organizational goals to be achieved as they provided the necessary information infrastructure and motivated goal congruence.

The scope of this study is to explore and summarize the pool of dimensions, models and measurement techniques of service quality used in healthcare services and to propose a comprehensive conceptual model for practitioners and researchers.

This research employs a comprehensive review of available literature by using multiple keywords on different electronic repositories using the recommendations of the PRISMA approach for the selection of articles. A critical analysis of available studies helped in compiling a list of core service quality dimensions in healthcare services.

This paper presents a comprehensive account of different dimensions and their measurement items used by various researchers to assess service quality in healthcare systems. Most of the researchers have used SERVQUAL model either in its original or modified form while the others have proposed and used totally different dimensions to assess the service quality in healthcare. Many dimensions are just an existing dimension of SERVQUAL that has undergone a name change while others are completely new. The dimensions used by many researchers have items drawn from more than one dimension of SERVQUAL model. The availability of so many dimensions and models adds to the confusion that researchers and practicing managers experience when determining the appropriate model to be used in their work. To mitigate this confusion, there is a need to develop a comprehensive model; the current work is an attempt to meet this need. Through our analysis, we identify four major service quality dimensions: clinical quality, infrastructural quality, relationship and managerial quality and propose a model named CIRMQUAL.

After exploring all available models in the domain of healthcare, this research presents the best possible areas to enhance the quality of healthcare services. It also enhances the research insights for academicians and working professionals by developing and proposing a comprehensive model for measuring healthcare service quality. The proposed model covers almost all of the service quality dimensions used by other researchers and will make the choice of dimensions/model easy for the future researchers/practitioners interested in measuring and improving the quality of services offered by their healthcare units. Such a comprehensive model has not been developed by any researcher thus far.

This study aims to investigate the effect of social media use on healthcare workers’ psychological safety and task performance and the moderating role of perceived respect from patients during public health crises.

To test the proposed moderated mediation model, a survey was conducted in 12 Chinese medical institutions. A total of 637 valid questionnaires were collected for data analysis.

The results revealed that psychological safety mediated the relationships between task-related social media (TSM) use and social-related social media (SSM) use and task performance. In addition, perceived respect from patients moderated the relationship between TSM use and psychological safety, as well as the indirect relationship between TSM use and task performance through psychological safety.

This study sheds new light on understanding how different types of social media use influence task performance in the context of public health crises. Furthermore, this study considers the interactions of healthcare workers with colleagues and patients and examines the potential synergistic effects of these interactions on healthcare workers’ psychological state and task performance.

Immigrants, asylum seekers and refugees living in Europe face a number of challenges in accessing or using health information and healthcare services available in their host countries. To resolve these issues and deliver the necessary services, providers must take a comprehensive approach to better understand the types of health information and healthcare services that these individuals need, seek and use. Therefore, the purpose of this paper is to develop that comprehensive approach.

In this paper, a systematic literature review of peer-reviewed publications was performed, with 3.013 articles collected from various databases. A total of 57 qualifying papers on studies conducted in Europe were included in the review after applying the predefined inclusion and exclusion requirements, screening processes and eliminating duplicates. The information seeking and communication model (ISCM) was used in the analysis.

The findings revealed that while many health information and healthcare services are accessible in Europe for immigrants, asylum seekers and refugees, many of these individuals are unaware of their existence or how to access them. While our findings do not specify what health-related information these groups need, use or seek, they do suggest the importance and value of providing mental health, sexual health and HIV, as well as pregnancy and childbirth information and services. Furthermore, according to our results, health information services should be fact-based, easy to understand and raise awareness about healthcare structure and services available in Europe for this vulnerable population.

This study has a range of practical implications, including (1) highlighting the need for mental health and behavioural health services and (2) stressing the value of addressing cultural context and religious values while investigating (health) information seeking of people with foreign background.

This is one of the first studies to systematically review and examine the behaviour of immigrants, asylum seekers and refugees in relation to health information and healthcare services in the European context.

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.

The purpose of this paper is to examine whether healthcare leaders use evidence-based management (EBMgt) when facing major decisions and what types of evidence healthcare administrators consult during their decision-making. This study also intends to identify any relationship that might exist among adoption of EBMgt in healthcare management, attitudes towards EBMgt, demographic characteristics and organizational characteristics.

A cross-sectional study was conducted among US healthcare leaders. Spearman’s correlation and logistic regression were performed using the Statistical Package for the Social Sciences (SPSS) 23.0.

One hundred and fifty-four healthcare leaders completed the survey. The study results indicated that 90 per cent of the participants self-reported having used an EBMgt approach for decision-making. Professional experiences (87 per cent), organizational data (84 per cent) and stakeholders’ values (63 per cent) were the top three types of evidence consulted daily and weekly for decision-making. Case study (75 per cent) and scientific research findings (75 per cent) were the top two types of evidence consulted monthly or less than once a month. An exploratory, stepwise logistic regression model correctly classified 75.3 per cent of all observations for a dichotomous “use of EBMgt” response variable using three independent variables: attitude towards EBMgt, number of employees in the organization and the job position. Spearman’s correlation indicated statistically significant relationships between healthcare leaders’ use of EBMgt and healthcare organization bed size (r_s = 0.217, n = 152, p < 0.01), attitude towards EBMgt (r_s = 0.517, n = 152, p < 0.01), and the number of organization employees (r_s = 0.195, n = 152, p = 0.016).

This study generated new research findings on the practice of EBMgt in US healthcare administration decision-making.

There is an increasing interest in employing e‐mail or other Internet‐based messaging systems in communication between patients and healthcare professionals. Many projects are put into practice, and numerous studies shed light on patients’ preferences regarding e‐messaging and their experience and use of e‐messaging. We argue in this paper that the conventional research in the field to some extent lacks a discussion about what kinds of knowledge an e‐messaging system generates among its users when it is put into practice. We suggest that placing the concept of knowledge as a discourse in focus, stressing how patients make judgements and distinctions in their use of e‐messaging, exposes important aspects not only regarding how patients relate to the system but also what e‐messaging in the healthcare sector means. We illustrate such a perspective with empirical material based on two focus groups of users of an e‐messaging system via a Swedish healthcare Web portal. Three kinds of knowledge formations are illuminated in this context: how patients develop knowledge by comparing e‐messaging services with traditional ways to contact healthcare; how the system generates a further demand for control by its users; and how the e‐messaging system helps users develop knowledge of the healthcare system in general.