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The purpose of this paper is to explore why the stagnant version of amateurism that is being used by the National Collegiate Athletic Association (NCAA) and its member institutions to limit student–athlete compensation is creating labor law and antitrust violations, and ultimately contributing to a black market in college athletics.

The qualitative portion of the examination uses a review of historic and recent cases regarding labor law and antitrust violations and applies them to the college athletic industry. Furthermore, the quantitative portion creates a scaled revenue sharing calculation utilizing financial reports from university athletic departments and corresponding professional revenue-sharing agreements to discern an approximate value of a student–athlete’s participation.

The authors find that the current structure of the NCAA and regulatory framework perpetuate injustice for those who lack a voice in the system. Furthermore, the research shows a wage disparity of millions of dollars creating a lack of free market and black-market tensions to reach free market equilibrium.

This research creates reasoning to restructure the NCAA system to adjust for modern commercialization and profits of the industry.

This paper highlights the legal and regulatory abuses by the NCAA, and demonstrates how the compensation gap created by these legal violations is creating a strain on free market flow ultimately leading to a black-market effect in the industry.

There has been a sustained interest over the past couple of decades in developing sophisticated leak detection techniques (LDTs) that are economical and reliable. Majority of current commercial LDTs are acoustics based and they are not equally suitable to all pipe materials and sizes. There is also limited knowledge on the comparative merits of such acoustics-based leak detection techniques (ALDTs). The purpose of this paper is to review six commercial ALDTs based on four decisive criteria and subsequently develop guidance for the optimal selection of an ALDT.

Numerous publications and field demonstration reports are reviewed for evaluating the performance of various ALDTs in this study to inform their optimal selection using an integrated multi-criteria decision analysis (MCDA) framework. The findings are validated using interviews of water utility experts.

The study approach and the findings will have a broad impact on the water utility industry by identifying a suite of suitable ALDTs for a range of typical application scenarios. The evaluated ALDTs include listening devices, noise loggers, leak-noise correlators, free-swimming acoustic, tethered acoustic, and acoustic emissions. The evaluation criteria include cost, reliability, access requirements, and the ability to quantify leakage severity. The guidance presented in this paper will support efficient decision making in water utility management to minimize pipeline leakage.

This study attempts to address the problem of severe dearth of performance data for pipeline inspection techniques. Performance data reported in the published literature on various ALDTs are appropriately aggregated and compared using a MCDA, while the uncertainty in performance data is addressed using the Monte Carlo simulation approach.

Identifies key activities that network users can perform in order to use the network effectively. Offers recommended reading, from beginner to expert user status. Explains some commonly used terms (e.g. Turbo Gopher with Veronica!). Lists useful Internet resources.

This viewpoint paper provides an overview of lessons learnt throughout the whole cycle of development to exploitation of digital solutions in health and wellbeing settings. This paper aims to address learnings that can be applied to all digital health technologies, including assistive technologies, apps, wearables, medical devices and serious games.

Based on the knowledge and experiences of working within a multidisciplinary team, the authors discuss lessons learnt through research and consultancy projects in digital health and translate these into pragmatic suggestions and recommendations.

Firstly, the importance of collaborating and co-creating with multidisciplinary stakeholders and end users throughout the whole project lifecycle is emphasised. Secondly, digital health solutions are not a means to an end, nor a panacea; decisions should be evidence-based and needs-driven. Thirdly, whenever possible, research designs and tools need to be more adaptive and personalised. Fourthly, the use of a mixed-method system approach and continuous evaluation throughout the project’s lifecycle is recommended to build up the evidence base. Fifthly, to ensure successful exploitation and implementation, a business case and timely bottom-up approach is recommended. Finally, to prevent research waste, it is our shared responsibility to collaborate with existing consortia and create an awareness of existing solutions and approaches.

In conclusion, collaborating in the field of digital health offered insights into how to be more purposeful and effective in development, evaluation and exploitation of digital health solutions. Moving this diverse and dynamic field forward is challenging but will contribute to greater long-term impact on society.

The purpose of this study is to propose a hybrid model integrating the expectation-confirmation model with the views of cognitive absorption (CA) theory and updated DeLone and McLean information system success model to examine whether quality factors as antecedents to medical professionals’ beliefs can affect their continuance intention of the cloud-based e-learning system.

This study’s sampling frame was taken from among medical professionals working in hospitals with over 300 beds in Taiwan which had implemented the cloud-based learning management system (LMS) with a blend of asynchronous and synchronous technologies. Sample data for this study were collected from medical professionals at six hospitals in Taiwan. The data for this study were gathered by means of a paper-and-pencil survey, and each sample hospital that participated in this study was asked to identify a contact person who could distribute the survey questionnaires to medical professionals who had experience in using the cloud-based LMS in their learning. A total of 600 questionnaires were distributed, and 378 (63.0%) usable questionnaires were analyzed using structural equation modeling in this study.

This study proved that medical professionals’ perceived learner–content interaction quality, learner–system interaction quality, service quality, cloud storage service quality and learner–human interaction quality all positively caused their perceived usefulness, confirmation and CA elicited by the cloud-based e-learning system, which jointly explained their satisfaction with the system, and resulted in their continuance intention of the system.

Several limitations and suggestions may open avenues for future research. First, the limitation of self-reported measures should be considered; future research may combine with qualitative data (e.g. semi-structured, narrative, in-depth interviews, focus group interviews and open-ended questions) to get more complete interpretations of medical professionals’ cloud-based e-learning continuance intention. Next, this study’s data were collected from hospitals in Taiwan only; given this study’s limited scope, future research may generalize this study’s sample to the respondents of other national cultural backgrounds and make cross-country comparisons to enhance the completeness of this study. Finally, this study’ results were based on cross-sectional data; future research may use a longitudinal analysis by taking into account the evolution of medical professionals’ cloud-based e-learning continuance intention over time.

This study fully evaluates interaction-related and cloud-related quality determinants through an understanding of medical professionals’ state of CA in explaining their cloud-based e-learning system continuance intention that is difficult to expound with only their utilitarian perception of the system. Hence, the results contribute to deep insights into an all-round quality evaluation in the field of medical professionals’ cloud-based e-learning continuance intention, and extrinsic and intrinsic motivators are both taken into consideration in this study’s theoretical development of medical professionals’ cloud-based e-learning continuance intention to acquire a more comprehensive and robust analysis.

The purpose of this paper is to statistically measure (quantify) how a sample of Canadians perceives the usability of electronic personal health records (PHRs) and, in the process, to increase Canadian patients’ awareness of PHRs and improve physicians’ confidence in their patients’ ability to manage their own health information through PHRs.

The authors surveyed 325 Canadian patients living in Northern Ontario to assess a research model consisting of seven perceptions of PHR systems used to manage personal health information electronically, and to assess their perceived ability to use PHR systems. The survey questions were adapted from the 2014 National Physician Survey in Canada. The authors compared the patients’ results with physicians’ own perceptions of their patients’ ability to use PHR systems.

First, there was a positive relationship between surveyed patients’ prior experiences, needs, values, and their attitude toward adopting the PHR system. Second, how patients saw a PHR system’s user-friendliness was the strongest predictor of how useful they considered it would be. Finally, of the 243 physician respondents, 90.3 percent believed their patients would not be able to manage their own e-health information via a PHR system, but 54.8 percent of the 325 patient respondents indicated they would be able to do so.

This study is unique in that the authors know of no other Canadian study that purports to predict, using the technology acceptance model factors, people’s attitudes toward adopting a PHR system. As well, this is the first Canadian study to compare the perspectives of healthcare providers and their patients on e-health applications.