Amit Malhan

In recent years, online streaming has encountered the challenge of retaining its user base. This study considers the role of transaction cost economics theory in consumer choices to continue subscribing. Participants respond to their top three streaming services, resulting in 797 responses, accounting for multiple selections by each respondent. Respondents could choose their top three services from a list of Netflix, Disney, Hulu, Amazon Prime Video, HBO Max, and Apple TV+. The study’s conclusions highlight the impact of uncertainty, a negative measure of streaming quality, on online subscription-based video streaming. Additionally, asset specificity, reflecting uniqueness and exclusive content, is found to be positively related to continuing a subscription. This research distinguishes itself by examining individuals who are already subscribers to provide insights and guidance through the lens of Transaction Cost Economics, to help marketing professionals seeking a deeper understanding of consumer behavior in the online streaming landscape.

This paper provides empirical evidence using two studies to explain the primary factors facilitating electronic health record (EHR) systems adoption through the lens of the resource advantage theory. We aim to address the following research questions: What are the main organizational antecedents of EHR implementation? What is the role of monitoring in EHR system implementation? What are the current themes and people’s attitudes toward EHR systems? This paper includes two empirical studies. Study 1 presents a research model based on data collected from four different archival datasets. Drawing upon the resource advantage theory, this paper uses archival data from 200 Texas hospitals, thus mitigating potential response bias and enhancing the validity of the findings. Study 2 includes a text analysis of 5154 textual data, sentiment analysis, and topic modeling. Study 1’s findings reveal that joint ventures and ownership are the two main enablers of adopting EHR systems in 200 Texas hospitals. Moreover, the results offer a moderating role of monitoring in strengthening the relationship between joint-venture capability and the implementation of EHR systems. Study 2’s results indicate a positive attitude toward EHR systems. The U.S. was unique in the sample due to its slower adoption of EHR systems than other developed countries. Physician burnout also emerged as a significant concern in the context of EHR adoption. Topic modeling identified three themes: training, healthcare interoperability, and organizational barriers. In a multimethod design, this paper contributes to prior work by offering two new EHR antecedents: hospital ownership and joint-venture capability. Moreover, this paper suggests that the monitoring mechanism moderates the adoption of EHR systems in Texas hospitals. Moreover, this paper contributes to prior EHR works by performing text analysis of textual data to carry out sentiment analysis and topic modeling.

Healthcare knowledge management systems can mitigate hospitals’ operational inefficiency. As a healthcare information technology, the electronic health record (EHR) receives much attention from medical institutions due to its considerable impact on operational cost performance. This paper focuses on EHR systems to address operational inefficiency by which patients pay more for health care services, and many U.S. hospitals are filing for bankruptcy. From the theoretical perspective of the practice-based view, this paper introduces a path to implement EHR systems for improving cost performance. The empirical investigation is archival data of 200 hospitals collected from the U.S. healthcare agencies. Findings contribute to prior work by hypothesizing moderating and mediating roles in EHR systems implementation. This paper introduces absorptive capacity and monitoring mechanisms as enablers of implementing EHR systems. The results showed that hospital monitoring strengthens the relationship between absorptive capacity and electronic health record systems implementation, which results in better operational cost performance. Theoretically, this study supports the long-term potential benefits of EHR adoption, and its findings are consistent with optimizing efficiency through data standardization and interoperability. From a practical perspective, this study supports hospitals' investments in evolving healthcare information technology systems through the development of a knowledge-based system employing EHR, particularly when hospitals are merging or need a financial strategic plan to control expenses.

Electronic Health Records (EHRs) are designed as a real-time digital record to streamline distinctive and valuable patient information across multiple stakeholders in the healthcare delivery channel. The stakeholders include hospitals, healthcare providers and patients, as well as a myriad of third-party providers (i.e., insurance companies, Medicare). Academicians, practitioners and public policy makers are grappling with uneven experiences and empirical findings regarding the relationship between technology-enabled information sharing and the ensuing quality of healthcare outcomes. The most significant government-mandated technology is the implementation and adoption of EHR. The present research examines EHR through the lens of Resource Advantage Theory –– to empirically assess how partial and comprehensive implementation levels of EHR adoption influence quality management and financial performance of hospitals. Based on archival data attained from 210 hospitals in the state of Texas, the results indicate positive relationships between EHR and the quality of care. While it is generally recognized that EHR and quality management affect a hospital’s performance, this research investigates the moderating effect that EHR has on quality management and a hospital’s performance. These findings provide hospital administrators, practitioners, and third-party payers with an integrative and parsimonious model to understand the impact of partial and comprehensive levels of EHR implementation on the relationship of healthcare quality and hospital performance.

The medical field is becoming bigger and more complex in the 21st century, diseases both emergent and re-emergent are on the rise and are costing lives around the world. Evolution of many diseases has made people find a reason to seek medical care in healthcare centers. This has led to increased development of health care facilities as peoples’ urge to get quality diagnosis and treatment rises. However, in the past patients ended up waiting a long time in their efforts to obtain these services. These wait times were due to the lack of proper documentation and recording of the personal information. Hospitals and health centers had to hire an increased numbers of health practitioners to handle the paper work as patient populations increased. Due to the massive amount of issues experienced and the patient agony, healthcare professionals were prompted to develop fast, reliable and efficient methods of handling large amounts of data within a short time. The rise of digital technologies enables the Electronic Medical Records (EMR) system to be utilized in the healthcare setting. This tool has revolutionized the whole spectrum of capturing and recording medical health data. Today, health care agencies and organizations can retrieve and store a patient’s personal health information where physicians can readily access this information from their offices. Therefore, EMR is the real time solution to the health information management problem and through it there will be an improved patient experience in terms of wait time, diagnosis, and treatment. However, there are some challenges that come with the system that should be addressed to ensure efficiency. After a systemic review of the literature, we have used a systemigram approach and modeled the current challenges of EMR implementation and the related solutions to EMR system adoption. The objective of this study is to provide a systems-thinking approach to better contextualize the role of EMR in the complex system of healthcare from a multi-stakeholder perspective.