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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. [ABSTRACT FROM AUTHOR]

The enrollment of international students (e.g. students admitted using a F-1 visa into the U.S.) has been increasing continually for the past six academic years in American higher educational institutions. This article explores how Chinese applicants make decisions during their application journey for Master's degree programs in business schools. The study employs a netnographic approach to analyse user-generated content posted in one virtual consumer forum. The findings show that Chinese students not only use this forum for school information and alumni reviews, but they also collect suggestions from fellow applicants in their decision-making process. The findings also offer managerial implications for American universities, articulating how institutions of higher education should use proactive institutional branding to attract graduate students from one of the most coveted target markets: the People's Republic of China. The effective use of marketing communications via online websites coupled with offline recruitment fairs demonstrate how universities must embrace omnichannel marketing in their institutional branding.

The paramount role of scholarship in the modern academic environment is manifest across program accreditation, individual evaluation, and institutional reputation processes. At the microlevel, success in this domain positively influences scholars' performance evaluations and institutions' external reputations. At the macrolevel, research expands and deepens the boundaries of the discipline. It is widely accepted that knowledge development is seminal to the advancement of marketing as a discipline. Accordingly, the academic community is increasingly concerned with potential limits and constraints on knowledge development. This article explores the influence of image management, self-justification, and escalation of commitment within the marketing discipline. A two-phase study using both a broad survey of marketing academicians and in-depth interviews of faculty at two universities indicates that these influences may be constraining creative marketing thought and may limit knowledge development. (Contains 4 tables.)