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366,836 result(s) for "Payment"
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Prospective payment systems
\"This book from the Healthcare Payment Systems series reviews and discusses the various types of payment systems in use by healthcare providers and third-party payers. Emphasizing the basic elements of any prospective payment system, it considers the variations that exist for paying for hospital inpatient and outpatient services, skilled nursing facilities, home health agencies, long-term hospital care, and rehabilitation facilities and providers. It pays particular attention to the Medicare MS-DRG, Medicare APCs, Medicare HHPPS, and the Medicare Skilled Nursing Resource Utilization Groups, as well as private third-party payers\"-- Provided by publisher.
Effect of Payment Gateways towards Online Shopping Behavior in SME in Indonesia
This study aims to examine the relationship between trust, types of payment methods, perceived usefulness, and convenience to the people’s purchase intention and whether that affect people’s online shopping behavior in SMEs in Indonesia—types of payment methods. Data were collected from 205 respondents in Indonesia using purposive sampling. Path Analysis was used in this study, and the results showed that Perceived Usefulness has a strong, unidirectional positive influence and significant effects on the Purchase Intention of payment gateway users but is not significant to Online Shopping Behavior. Convenience variables have a strong, unidirectional positive influence and significantly affect Purchase Intention and Online Shopping Behavior of payment gateway users in Indonesia.
Payment system technologies and functions : innovations and developments
\"This book analyzes the evolutionary trends, functions and mechanisms of payment systems and presents an in-depth explanation of how these trends led to the reduction of settlement risk and the importance of such mechanisms that have contributed to the evolutionary progress of payment systems\"--Provided by publisher.
The Emerging Technologies of Digital Payments and Associated Challenges: A Systematic Literature Review
The interplay between finance and technology with the use of the internet triggered the emergence of digital payment technologies. Such technological innovation in the payment industry is the foundation for financial inclusion. However, despite the continuous progress and potential of moving the payment landscape towards digital payments and connecting the population to the ubiquitous digital environment, some critical issues need to be addressed to achieve a more harmonious inclusive and sustainable cashless society. The study aims to provide a comprehensive literature review on the emerging digital payment technologies and associated challenges. By systematically reviewing existing empirical studies, this study puts forward the state-of-the-art classification of digital payment technologies and presents four categories of digital payment technologies: card payment, e-payment,mobile payment and cryptocurrencies. Subsequently, the paper presents the key challenges in digital payment technologies categorized into broad themes: social, economic, technical, awareness and legal. The classification and categorization of payment technologies and associated challenges can be useful to both researchers and practitioners to understand, elucidate and develop a coherent digital payment strategy.
Investigating Customer Behavior of Using Contactless Payment in China: A Comparative Study of Facial Recognition Payment and Mobile QR-Code Payment
Emerging technologies have made tremendous changes in people’s daily lives, and they have profoundly influenced their economic and consumption activities. Recently, the COVID-19 pandemic has also drastically increased individuals’ usage of contactless payment technologies, such as mobile and facial recognition payments, which has accelerated the transformation of digital transaction services in China. In this study, the findings show that perceived usefulness, perceived ease of use, and service security can affect the perceived value and user satisfaction of using contactless payment. Moreover, a higher perceived value and satisfaction level may encourage more post-adoption behaviors, such as continuous and habitual usage of contactless payment methods or encouraging others to use contactless payment methods via word-of-mouth; however, perceived value did not have a direct effect on continuous usage. In addition, there are certain differences in user behavior depending on whether facial recognition payment or mobile QR-code payment is used. For QR-code payment users, overall, their satisfaction and post-adoption behaviors are more strongly bonded with each other compared with the behaviors of facial recognition payment users. This study has generated more information and insight into the transformation of digital payment and can help managers align their strategies more efficiently in the post-pandemic era.
Does global capitation prospective payment promote integrated delivery networks? Evidence from China’s compact county medical communities
Background Compact county medical communities (CCMCs) have emerged as a key strategy to strengthen primary healthcare delivery in China. The objective of this study was to assess the impact of the global capitation prospective payment (GCP) reform on CCMCs performance. Methods This research collected data from 2018 to 2022 across three pilot regions in China. Using interrupted time series analysis (ITSA), we assessed how the implementation of GCP affected CCMCs development. Results The ITSA results show that the average length of stay at the lead hospital decreased by 0.105 days ( P  < 0.001) after the reform in pilot A, while the average hospital cost increased by 62.272 yuan per month ( P  < 0.05). The lead hospital in Pilot B had a decrease in average inpatient costs of 54.203 yuan per month ( P  < 0.001). Conversely, Pilot C’s the lead hospital had an increase in average inpatient costs of 26.610 yuan per month ( P  < 0.001), and the average length of stay at the lead hospital increased by 0.028 days ( P  < 0.05). Conclusion GCP has reasonably promoted the benign development of CMCCs. However, the diversity of strategies and operations has resulted in a different focus on effectiveness. Based on local resource endowments, future reforms should pay more attention to the synchronization of payment reforms and organizational changes.
Smile to pay: predicting continuous usage intention toward contactless payment services in the post-COVID-19 era
PurposeFinancial technology (FinTech) is undergoing a transformation as a result of robotics and artificial intelligence. FinTech service providers are embracing contactless technology, including the development and widespread adoption of innovative payment service. Among the many types of contactless payment services, facial recognition payment (FRP) has gained in popularity. To capitalize on this rising popularity, comprehending the mechanisms underlying continuous usage intention toward FRP is essential. Drawing from the stimulus–organism–response (S-O-R) model, this study investigates how FRP attributes facilitate continuous usage intention.Design/methodology/approachIn total, 321 Chinese FRP users completed an online survey. Partial least squares structural equation modeling analyzed the results of the survey.FindingsThe results reveal that relative advantage and compatibility, user-interface attractiveness and perceived security (stimuli) promote performance expectancy, effort expectancy and positive emotion (organism), which in turn foster FRP continuous usage intention (response).Originality/valueThis research presents an S-O-R model that incorporates several attributes from DOI theory, the UTAUT model and the AIDUA framework to elucidate the antecedents of consumers' continuous usage intention toward FRP. The findings corroborate the significance of the S-O-R mechanism in FRP, setting the groundwork for the acceptance and development of biometric authentication technologies in service contacts and banks. In addition, the study highlights opportunities and essential aspects for FinTech service developers and providers to consider in terms of their practical significance.
Bundled Payment vs. Fee-for-Service: Impact of Payment Scheme on Performance
Healthcare reimbursements in the United States have been traditionally based on a fee-for-service (FFS) scheme, providing incentives for high volume of care, rather than efficient care. The new healthcare legislation tests new payment models that remove such incentives, such as the bundled payment (BP) system. We consider a population of patients (beneficiaries). The provider may reject patients based on the patient’s cost profile and selects the treatment intensity based on a risk-averse utility function. Treatment may result in success or failure, where failure means that unforeseen complications require further care. Our interest is in analyzing the effect of different payment schemes on outcomes such as the presence and extent of patient selection, the treatment intensity, the provider’s utility and financial risk, and the total system payoff. Our results confirm that FFS provides incentives for excessive treatment intensity and results in suboptimal system payoff. We show that BP could lead to suboptimal patient selection and treatment levels that may be lower or higher than desirable for the system, with a high level of financial risk for the provider. We also find that the performance of BP is extremely sensitive to the bundled payment value and to the provider’s risk aversion. The performance of both BP and FFS degrades when the provider becomes more risk averse. We design two payment systems, hybrid payment and stop-loss mechanisms, that alleviate the shortcomings of FFS and BP and may induce system optimum decisions in a complementary manner. This paper was accepted by Serguei Netessine, operations management .
Consumer adoption of mobile payment services during COVID-19: extending meta-UTAUT with perceived severity and self-efficacy
PurposeThe purpose of this paper is to identify and examine the important factors that could affect consumers' behavioural intention and use behaviour towards mobile payment services during COVID-19.Design/methodology/approachThe proposed model extends meta-Unified Theory of Acceptance and Use of Technology (meta-UTAUT) model with perceived severity and self-efficacy factors affecting consumers' behavioural intention and use behaviour towards mobile payment services. A convenient sampling technique has been utilized to gather data from a self-administered questionnaire. The data collection was restricted to the online mode to avoid any physical contact considering the COVID-19 situation.FindingsThe findings revealed that performance expectancy, effort expectancy and perceived severity have a significant positive impact on consumers' attitude; facilitating conditions has a significant positive impact on effort expectancy; self-efficacy has a significant positive impact on effort expectancy; attitude has a significant positive impact on behavioural intention; and behavioural intention has a significant positive impact on use behaviour. Social influence did not confirm any significant relationship.Research limitations/implicationsThe current research study has utilized a non-probability convenient sampling technique to gather data through a self-administered questionnaire. The data collection was restricted to the online mode to avoid any physical contact considering the COVID-19 situation. The respondents were adopters of mobile payment services. The scope of the study is the COVID-19 context or related chronic diseases context where major preventive mechanisms such as social distancing and avoidance of physical contacts are vital.Originality/valueThis study has extended the meta-UTAUT model with the COVID-19 context-specific constructs and relationships. The undertaken work has strengthened the explanability of the model. The inclusion of context relevant variables such as perceived severity and self-efficacy and their association with the existing meta-UTAUT framework have enriched the context of the study. The current study offers a holistic understanding of significant factors influencing Indian consumers’ adoption of mobile payment services in the COVID-19 context.
Hospital Payment Based On Diagnosis-Related Groups Differs In Europe And Holds Lessons For The United States
England, France, Germany, the Netherlands, and Sweden spend less as a share of gross domestic product on hospital care than the United States while delivering high-quality services. All five European countries have hospital payment systems based on diagnosis-related groups (DRGs) that classify patients of similar clinical characteristics and comparable costs. Inspired by Medicare's inpatient prospective payment system, which originated the use of DRGs, European DRG systems have implemented different design options and are generally more detailed than Medicare's system, to better distinguish among patients with less and more complex conditions. Incentives to treat more cases are often counterbalanced by volume ceilings in European DRG systems. European payments are usually broader in scope than those in the United States, including physician salaries and readmissions. These European systems, discussed in more detail in the article, suggest potential innovations for reforming DRG-based hospital payment in the United States. [PUBLICATION ABSTRACT]