Search results

The study aims to address a critical gap in existing healthcare payment schemes and care service pricing by recognizing the influential role of patients' decisions on self-management efforts. These decisions not only impact health outcomes but also shape the demand for care, subsequently influencing care costs. Despite the significance of this interplay, current payment schemes often overlook these dynamics. The research focuses on investigating the implications of a novel behavior-based payment scheme, designed to align incentives and establish a direct connection between patients' decisions and care costs. The primary objective is to comprehensively understand whether and how this innovative payment scheme structure influences key stakeholders, including patients, care providers, insurers and overall social welfare.

In this paper, we propose a game-theoretical model to incorporate the performance of self-management with the demand for healthcare service, compare the patient's effort decision for self-management and provider's price decision for healthcare service under a behavior-based scheme with that under two implemented widely payment schemes, that is, co-payment scheme and co-insurance scheme.

Our findings confirm that the behavior-based scheme incentives patient self-management more than current schemes while reducing their possibility of seeking healthcare service, which indirectly induces the provider to lower the price of the service. The stakeholders' utility under various payment schemes is sensitive to the cost of treatment and the perceived health utility of patients. Especially, patient health awareness is not always benefited provider profit, as it motivates patient self-management while diminishing the demand for care.

We provide a novel framework for characterizing behavior-based payment schemes. Our results confirm the need for modification of the current payment scheme to incentivize patient self-management.

This study aims to explore the consumer perceptions of cognition and intention to visit pilot zone of international medical tourism as emerging, developed medical tourism destinations.

Using a survey-based quantitative method, based on a survey of 439 tourists who have cross-border travel experience, the partial least squares approach was performed to test the hypotheses.

The results show that internal factors had a stronger influence on destination image compared to external factors. Among different factors, preferential policies had the greatest impact on intention to visit. Perceived quality had a stronger effect on intention to visit than preference. Geographical distance had a varied effect, with those furthest away in Northeast China showing greater intention to visit compared to closer regions.

This study explores the impact of multidimensional destination perception on medical tourists’ behavioural intention in emerging destinations by integrating the push-pull theory and theory of planned behaviour and tests how geographical distance affects intention to visit emerging destinations. Using China international medical tourism pilot area as a typical case of medical tourism emerging destinations for empirical analysis. This research offers guidance for branding and marketing strategies, contributes to a deeper understanding of medical tourists’ destination choices, enriches the theoretical explanation of emerging destination choice in medical tourism and provides valuable insights for destination recovery.

Information asymmetry and poor solvency caused by uncertainties in supply chains are the root causes of supply chain financing risks (SCFR). The purpose of this paper is to explore the effect of supply chain integration on reducing SCFR by incorporating the mechanisms of information sharing and controlling supply chain risks (SCR).

This paper proposes hypothesis to discuss the impact of integration on SCFR and the mediating roles of alleviating information asymmetry and mitigating SCR, aiming at discovering factors and mechanisms to reduce SCFR. The research model was validated by applying structural equation modeling on survey data from 321 Chinese small and medium-sized enterprises (SMEs).

Integration significantly reduces SCFR by dual approaches of information sharing and mitigating SCR, confirming that alleviating information asymmetry to reach information transparency and controlling SCR to reduce uncertainties facilitate less SCFR.

SMEs should enhance integration capability to reduce SCFR as it greatly influences the evaluation of financial service providers on SMEs and the sustainable financing capacity of SMEs. Additionally, any other methods that can improve information sharing and reduce SCR should be attached if possible.

This study represents a pioneering attempt to analyze the impact of integration on reducing SCFR by exploring the specific mechanisms of alleviating information asymmetry and mitigating SCR. Meanwhile, few prior empirical studies have highlighted the importance of SCFR.

The purpose of this paper is to explore the important role of supply chain risk management (SCRM) capabilities as pre-factors for SMEs to improve supply chain financing performance (SCFP), also incorporating the effect of supply chain integration (SCI).

From the intersection of SCRM and SCF literature, this paper proposed hypothesis to discuss the impact of SCRM capabilities on SCFP and the role of SCI, aiming at combine SCRM with supply chain financing management. The research model was validated applying structural equation modeling on survey data from 286 Chinese small and medium-sized enterprises (SMEs).

Four dimensions of SCRM capabilities have significant positive effects on SCFP with different significant levels, confirming that they are important pre-factors in supply chain finance (SCF). In addition, the impact of SCRM capabilities on SCFP differ when SCI varies, indicating the promoting effect of SCI.

SMEs should establish SCRM capabilities as supply chain risks greatly influence the evaluation of financial providers and the achievement of SCF. Meanwhile, SCI should be attached for it enables superior SCFP even if SCRM capabilities are relatively limited.

This study represents a pioneering attempt to analyze the pre-factors of SMEs in improving SCFP by combing SCRM with SCF management. Few prior studies have highlighted the importance of SCRM in SCF.

The purpose of this paper is to study the managing of emergencies pertinent to public health which is critical to the well‐being of a society; as such, the management mechanisms employed should be of great interest and significance for research.

This paper first relies on extensive literature to describe the mechanism used in the USA from three aspects – organizational structure, management system, and logistics network. For the purpose of comparison, the Chinese version of the mechanism is presented from the same three aspects. The two management systems are then compared both qualitatively and quantitatively.

Deficient areas in Chinese public‐health management mechanism as well as challenging issues associated with supply chain design and coordination for emergency supplies in the context of large‐scale public health emergencies with low frequency but catastrophic impacts are found. Specifically, the following three important research problems are revealed from the comparative study: how to establish an efficient organizational structure that incorporates all the relevant entities in public‐health emergency management? How to establish an information system for emergency management that integrates disease surveillance, control, and prevention? How to design an efficient and cost‐effective logistics network to ensure prompt and sufficient delivery of emergency supplies?

To date, this research has been the first of its kind that compares two countries' emergency management systems in the context of public health management.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.

The purpose of this paper is to provide the organization with a process for assessing risk associated with their supply chain and a framework from which they can build their strategy to manage risk.

The proposed process is based on a compilation of research and interactions with supply chain managers in various industries, and these sources provide a specific process to identify how critical the risk is, when to act upon it, and how to manage it. An adapted risk mitigation framework organizes strategies according to the likelihood of disruption and consequences. Included is an industry example used to demonstrate the framework.

The variability and uncertainty associated with supply chain risks make disruption difficult to predict. Furthermore, getting information from suppliers about the amount of risk associated with their operation in an attempt to scope one's own risk can be a challenge. Management must consider the amount of risk the organization is going to accept and how much to invest to mitigate it.

To manage the risk associated with supply chain disruption, an organization must deploy a strategy for assessing it. Once risk areas have been identified, the organization must design strategies which will mitigate the risk. The depth and degree to which risk is mitigated depends upon how risk-averse a company is and what they are willing to invest in this activity.