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The purpose of this paper is to identify, analyze and develop a model to measure the interactions among different factors of organizational readiness for change in service sector specific to healthcare organization. The total interpretive structural modeling (TISM)-based readiness for change is to build a theoretical framework to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors.

TISM is used to identify factors that contribute to analyze the readiness state before starting a change implementation process in healthcare. Matrice d’Impacts croises-multiplication applique´ a classement analysis is used to find the driving and dependent factors of change in healthcare.

This paper identified 12 factors of readiness for change from literature review followed by expert interview to understand the inner connection of factors and study inner relationships. The result says that state of affairs, recent trends in healthcare sector, technology advancement and interdependence among departments are key factors for readiness of change.

This research mainly focused on readiness factors for change in the healthcare sector.

This study will be useful for researcher and practitioners to understand the readiness factors for change.

In this research work, TISM-based readiness for the change framework structural model has been proposed for healthcare organizations which is a new effort in the area of organizational change management in this sector.

Under the impact of Coronavirus disease 2019 (COVID-19), this paper contributes in the deployment of the Artificial Intelligence of Things (AIoT)-based system, namely AIoT-based Domestic Care Service Matching System (AIDCS), to the existing electronic health (eHealth) system so as to enhance the delivery of elderly-oriented domestic care services.

The proposed AIDCS integrates IoT and Artificial Intelligence (AI) technologies to (1) capture real-time health data of the elderly at home and (2) provide the knowledge support for decision making in the domestic care appointment service in the community.

A case study was conducted in a local domestic care centre which provided elderly oriented healthcare services to the elderly. By integrating IoT and AI into the service matching process of the mobile apps platform provided by the local domestic care centre, the results proved that customer satisfaction and the quality of the service delivery were improved by observing the key performance indicators of the transactions after the implementation of the AIDCS.

Following the outbreak of COVID-19, this is a new attempt to overcome the limited research done on the integration of IoT and AI techniques in the domestic care service. This study not only inherits the ability of the existing eHealth system to automatically capture and monitor the health status of the elderly in real-time but also improves the overall quality of domestic care services in term of responsiveness, effectiveness and efficiency.

The purpose of this paper is to identify and analyze the interactions among different readiness factors for implementing agility in healthcare organization. Total interpretive structural modeling (TISM) based readiness framework for agility has been developed to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors.

The identification of factors is done by TISM approach used for analyzing the mutual interactions between factors. Cross-impact matrix multiplication applied to classification analysis is utilized to find the driving and dependent factors of agile readiness in healthcare.

This paper identifies 12 factors of readiness for change in literature review, which is followed by an expert interview to understand the interconnection of factors and to study interrelationships of factors. The study suggests that factors like environmental scanning, resource availability, innovativeness, cost effectiveness, organizational leadership, training and development are important for implementing/improving the readiness of agility in healthcare organizations.

This research focuses mainly on readiness factors for agility in healthcare sector.

Top management must stress on readiness factors that have a strong driving power for efficient implementation of agility in healthcare. This study helps the managers to take quick decisions, and continuous monitoring of readiness factors would be more beneficial to improve the quality of service, which makes the organization more agile.

In this research, TISM-based readiness for agile framework structural model has been proposed for healthcare organizations, which is a new effort for implementation of agility in healthcare.

The purpose of this paper is to investigate the relationship between the strategy of market orientation and organizational innovation.

This research adopted a cross‐sectional study using questionnaires to gather research data. Research subjects were presidents and high‐level managers at 491 hospitals, at the level of district hospital or above, in Taiwan. Questionnaires were distributed and 104 valid questionnaires were retrieved, resulting in a response rate of 21.18 per cent.

The results demonstrated that the strategy of market orientation is positively correlated with organizational innovation; the strategies of customer orientation, competitor orientation, and inter‐functional coordination have a positive correlation with technical innovation.

The results of this study provide hospital administrators with a practical method for developing a useful management strategy in order to improve service quality for customers.

The majority of studies on market orientation and innovation have focused primarily on business organizations, particularly western businesses, and not on non‐profit organizations and Chinese businesses. However, the goal of non‐profit organizations when restructuring or improving their management processes is not the pursuit of profit; rather, they engage in these innovative activities in order to boost organizational performance. This study selected Taiwanese hospitals as the research target for the study of non‐profit organizations, and offers an in‐depth discussion.

Healthcare providers are increasing their focus on patient satisfaction and patient-oriented services as they play a significant role in managing rising costs, elevating service quality and establishing sustainable quality improvement strategies. In recent years, the Kano model has gained popularity in the healthcare industry and has been employed to improve patient satisfaction. The purpose of this paper is to illustrate how the Kano model can be deployed to identify a wide range of complex patient needs and convey its potential usefulness in the continuous improvement of the healthcare sector.

This paper provides a case study of implementing the Kano model to identify diverse patient needs and aims to eliminate the gaps identified in prior research, which include generically applying the Kano model to all service units of the healthcare system and using a predetermined service quality scale. This study emphasizes the importance of scale development and individual attention to each healthcare service unit in determining intricate patient needs. A cross-sectional study was conducted at the Student Health Services (SHS) of Missouri University of Science and Technology where the data were collected using the Kano survey. The respondents included undergraduate and graduate students that have utilized the healthcare services offered. A total of 138 patients were surveyed using a Kano model-based questionnaire that included demographics and treatment as well as service expectations.

Of the 21 quality attributes evaluated by the patients, 16 were categorized as one-dimensional, 3 as indifferent, and 2 as attractive attributes using the Kano model. None of the quality attributes showed a dominant must-be feature. The students considered the availability of appropriately qualified medical staff within 10 minutes of the check-in process and provision of after-hours care as attractive attributes that create greater satisfaction.

The research was conducted at a university SHS center. Therefore, respondents in the survey are in a younger age group, which may affect patient expectations. In addition, expectations of an SHS center may be different than expectations of visiting a primary care physician and other healthcare units.

This study contributes to a better understanding of the identification of healthcare needs using the Kano model and advocates focusing on shifts in the categories over time and changes in the demographic environment.

Due to the modernization of medical technology and better standard of living today, the world is better equipped to fight a pandemic today than it was in 1918, when Spanish flu swept the globe and infected up to one-third of the world's population (Population Reference Bureau (PRB), 2020). While science and medical advances have given humanity new advantages in fighting disease, some demographic trends today may increase the risk for spreading contagions and our vulnerability to viruses. This is mainly due to the sheer volume of today's population movements, from migration and travel as people fly within and across countries. This vast mobility may make it faster and easier for viruses to spread around the world. COVID-19, which purportedly started in 2019, was a global pandemic that now affects the whole world due to high mobility among countries. This has caused many countries across regions in the world to implement a lockdown in their respective countries to avoid the spread of COVID-19. This pandemic may have introduced a new norm in society today.

Hospital construction projects often suffer from relatively late changes in the project lifecycle, which disrupt the project execution and impact project productivity. The purpose of this paper is to explore the root causes of changes in hospital construction projects. The paper aims to propose ways to prepare for the changes.

The study focuses on changes during the construction of new hospital facilities. An explorative, case study research design is utilised. Five case projects from Finland, Sweden and the USA were selected for in-depth analysis. The primary data comprise semi-structured interviews, supported by secondary evidence such as change order documents.

The findings reveal eight categories for change sources: contracts, and equipment and systems are reflective of the fast-paced healthcare technology and changing user requirements, while external environment comprises changes caused by both regulatory and physical environment. Changes in operations are reflected in the continuous development of treatment methods and processes. The user, owner, designer and contractor initiated changes represent the stakeholder influence. The paper makes a connection between these change sources and project complexity dimension. A framework for change dynamics is introduced, and product and process flexibility is suggested as a suitable method to prepare for and manage changes.

The paper is the first to link construction changes to project complexity factors. The paper argues that changes, when managed appropriately, are not only necessary but also beneficial to large construction projects in a quickly changing environment. The findings guide project stakeholders in implementing project flexibility, in the product and process dimensions, which is a balancing force to project complexity.

The coronavirus disease 2019 (COVID-19) pandemic highlighted the necessity of practicing Evidence-based Management (EBMgt) as an approach to decision-making in hospital settings. The literature, however, provides limited insight into the process of EBMgt and its contextual nuances. Such insight is critical for better leveraging EBMgt in practice. Therefore, the authors' aim was to integrate the literature on the process of EBMgt in hospital settings, identify the gaps in knowledge and delineate areas for future research.

The authors conducted a systematic scoping review using an innovative methodology that involved two systematic searches. First using EBMgt terminology and second using terminology associated with the EBMgt concept, which the authors derived from the first search.

The authors identified 218 relevant articles, which using content analysis, they mapped onto the grounded model of the EBMgt process; a novel model of the EBMgt process developed by Sahakian and colleagues. The authors found that the English language literature provides limited insight into the role of managers' perceptions and motives in EBMgt, the practice of EBMgt in Global South countries, and the outcomes of EBMgt. Overall, this study’s findings indicated that aspects of the decision-maker, context and outcomes have been neglected in EBMgt.

The authors contributed to the EBMgt literature by identifying these gaps and proposing future research areas and to the systematic review literature by developing a novel scoping review method.

This study aims to examine the relationships between consumer self‐confidence in health information search and health‐related outcomes (i.e. knowledge about cancer prevention, healthcare behavior, and use of the web as a primary source for health information). The associations between self‐confidence in health information search and its predictors (i.e. health literacy and trust in health information sources) are explored as well.

This study used the 2007 Health Information National Trends Survey data. Stepwise linear regression analyses, a logistic regression analysis, and stepwise multiple regression analyses were used to test the hypotheses.

The results from this study revealed that consumer self‐confidence in health information search appears to be linked with perceptions of health literacy and trust in information sources, particularly, trust in health professionals (e.g. doctors, healthcare professionals, government health agencies, family and friends, the internet), but not in information‐focused media (newspapers or magazines). Furthermore, as expected, consumer self‐confidence in health information search determines two health‐related outcomes, which are knowledge about cancer prevention and healthcare behavior.

The results of this study provide researchers with a better understanding about the key factors guiding consumers to have informed healthcare and enabling public health agencies to evaluate the effectiveness of their policies.