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This article begins with a discussion of the need to integrate technology into K-12 social studies classrooms and continues by introducing and providing social studies-based examples of the Moersch Levels of Technology Integration (LoTi) framework. The authors argue that LoTi levels do not coincide with teachers’ needed technology skill levels. As a result, the article offers suggestions for encouraging adjustment toward greater technology-infused social studies instructional methods based on teacher skill level. Using text and tabular formats, the authors provide numerous technology integration methods for social studies teachers who are “Starting Out Easy,” “Taking the Next Step,” or “Beginning to Excel” with technology.

This study examines whether nonprofit hospitals (NPHs) use price increases to overstate reported charity care spending. Anecdotal evidence points to hospitals raising prices to maximize Medicare's supplemental reimbursement and to maximize collection from self-pay and uninsured patients. This study provides empirical evidence that NPHs raise prices in part to satisfy the state's charity care requirements and to substitute real care with price-valued charity care. The ratio of charges to costs (RCC), price standardized by cost - a measure for comparing revenues generated to estimate costs allocations, is used to test the association between price increases and charity care reporting by NPHs. We hypothesize and find evidence that NPHs facing financial and political pressures in addition to charity care regulations are more likely to report a higher value of charity care.

Health-care knowledge is dispersed among different departments in a health care organization, which makes it difficult at times to provide quality care services to patients. Therefore, this study aims to identify the main challenges in adopting health information technology (HIT).

This study surveyed 148 stakeholders in 4 key categories [patients, health-care providers, United Arab Emirates (UAE) citizens and foresight experts] to identify the challenges they face in adopting health care technologies. Responses were analyzed using exploratory (EFA) and confirmatory factor analysis (CFA).

EFA revealed four key latent factors predicting resistance to HIT adoption, namely, organizational strategy (ORGS); technical barriers; readiness for big data and the internet of things (IoT); and orientation (ORI). ORGS accounted for the greatest amount of variance. CFA indicated that readiness for big data and the IoT was only moderately correlated with HIT adoption, but the other three factors were strongly correlated. Specific items relating to cost, the effectiveness and usability of the technology and the organization were strongly correlated with HIT adoption. These results indicate that, in addition to financial considerations, effective HIT adoption requires ensuring that technologies will be easy to implement to ensure their long-term use.

The results indicate that readiness for big data and the IoT-related infrastructure poses a challenge to HIT adoption in the UAE context. Respondents believed that the infrastructure of big data can be helpful in more efficiently storing and sharing health-care information. On the technological side, respondents felt that they may experience a steep learning curve. Regarding ORI, stakeholders expected many more such initiatives from health-care providers to make it more knowledge-specific and proactive.

This study has implications for knowledge management in the health -care sector for information technologies. The HIT can help firms in creating a knowledge eco-system, which is not possible in a dispersed knowledge environment. The utilization of the knowledge base that emerged from the practices and data can help the health care sector to set new standards of information flow and other clinical services such as monitoring the self-health condition. The HIT can further influence the actions of the pharmaceutical and medical device industry.

This paper highlights the challenges in HIT adoption and the most prominent factors. The conceptual model was empirically tested after the collection of primary data from the UAE using stakeholder theory.