Mobile Service Model Research Articles

The Economic Value of Broadcast Innovation - Impact on the U.S. Treasury

Every day, more and more Americans begin to use smartphones, tablets, and wireless modems to access new mobile applications and services that are proliferating at an astounding pace. Some have argued that without a fundamental shift of spectrum from broadcasters to commercial wireless operators the nation will soon face a massive “mobile traffic jam” and that auctioning broadcast spectrum will deliver a revenue windfall to the U.S. Treasury. But the opposite is true. The best way to meet the projected explosive growth in mobile data is to allow broadcasters to use point-to-multipoint “Broadcast Overlay” technology to provide the most efficient possible delivery of high bandwidth data to mobile users. Simply allocating more spectrum to commercial wireless operators would do very little to address projected massive capacity shortfalls and would do even less to address Federal budget deficits. Commercial mobile networks based on “cellular” one-to-one architectures are not designed to efficiently carry the portion of mobile data traffic that is likely to grow the fastest. The U.S. Treasury would receive far less revenue from one-time auctions of reclaimed broadcast spectrum than it would from recurring ancillary service fees, if broadcasters are permitted to serve the segment of traffic that commercial mobile networks are inherently weak at delivering; viz, one-to-many/point-to-multipoint IP traffic. This paper – the first of its kind – quantifies the superiority of a mobile-friendly Broadcast Overlay service to address growing demand for mobile data. It also projects the impact on revenues to the U.S. Treasury from ancillary service fees on broadcasters that provide Overlay services. We show: The demands of a mobile data ecosystem will be too diverse to be served only by cellular networks and commercial wireless operators. Different kinds of mobile data traffic require different networks and different service models. A Broadcast Overlay service that is technically compatible with commercial wireless networks would allow users to consume more data at a lower cost with a higher quality of service. Even doubling the amount of spectrum available to commercial wireless operators using cellular architectures would do little to meet projected demand, which is expected to soar almost seventyfold by 2026. Under traditional commercial mobile service models, users can not afford to consume the amount of data on which spectrum shortage predictions are based. High costs and mobile data usage caps will severely temper demand for high bandwidth services through cellular systems. Reallocating and auctioning television broadcast spectrum would throttle innovation, permanently institutionalize today’s policy choices, and limit the development of a more varied and robust wireless ecosystem. Estimated one-time auction net receipts of less than $20 billion for re-allocated broadcast spectrum would shortchange taxpayers. We project that Broadcast Overlay ancillary service fees would yield a net present value of more than $60 billion over a 15 year forecast period, and would continue to pay billions (>$200 billion total) in dividends to the U.S. Treasury in perpetuity.

A statistical recommendation model of mobile services based on contextual evidences

Mobile devices are undergoing great advances in recent years allowing users to access an increasing number of services or personalized applications that can help them select the best restaurant, locate certain shops, choose the best way home or rent the best film. However this great quantity of services does not require the user to find and select those services needed for each specific situation. The classical approaches link some preferences to certain services, include the recommendations given by other users or even include certain fixed rules in order to choose the most appropriate services. However, since these methods assume that user needs can be modelled by fixed rules or preferences, they fail when modelling different users or makes them difficult to train. In this paper we propose a new algorithm that learns from the user’s actions in different contextual situations, which allows to properly infer the most appropriate recommendations for a user in a specific contextual situation. This model, by using of a double knowledge diffusion approach, has been specifically designed to face the inherent lack of learning evidences, computational cost and continuous training requirements and, therefore, overcomes the performance and convergence rates offered by other learning methodologies.

Post-adoption modeling of advanced mobile service use

This study proposes a post-adoption model of advanced mobile services (AMS) emphasizing relationships between actual use and its antecedents: service ubiquity and experiential value. The study examines intrinsic and extrinsic motivational beliefs as mediators between service ubiquity and experiential value. The authors test the model on the basis of self-reported data from 603 AMS users in Australia. The results demonstrate that ease of use, enjoyment, and time convenience are full mediators between service ubiquity and experiential value. Further, experiential value drives the actual AMS use. However, customer satisfaction mediates this relationship. Business and leisure customers are found to be significantly different in their AMS use. More specifically, service ubiquity's influence on experiential value is significantly higher for leisure than business AMS users. Furthermore, experiential value's effect on customer satisfaction is significantly higher for business than for leisure customers.

Integrating TTF and TAM Perspectives to Expla in Mobile Knowledge Work Adoption

It is an advanced research subject to information technology as well as a great influence to the development of mobile work that how mobile work service is adopted and how it provides effectiveness. This article refers to 1) Analyse principles of TAM & TTF models, clarify the precondition and strength & weakness of the model, and propose a new mobile work service model combined with TAM & TTF; 2) Practical study to the new model. The conclusion for this model is as follow: a) two basic characteristics of mobile work and support from up-level managers in a firm are the preconditions whether service will be adopted. b) task-technology matching is the significant factor on service acceptation. c) It could improve employees’ efficiency within the practical use of task-technology matching mobile work service.

Evaluation of a mobile screening service for abdominal aortic aneurysm in Broken Hill, a remote regional centre in far western NSW

To evaluate the feasibility of a mobile screening service model for abdominal aortic aneurysm (AAA) in a remote population centre in Australia. Screening test evaluation. A remote regional centre (population: 20 000) in far western NSW. Men aged 65-74 years, identified from the Australian Electoral roll. A mobile screening service using directed ultrasonography, a basic health check and post-screening consultation. Attendance at the screening program, occurrence of AAA in the target population and effectiveness of screening processes. A total of 516 men without a previous diagnosis of AAA were screened, an estimated response rate of 60%. Of these, 463 (89.7%) had a normal aortic diameter, 28 (5.4%) ectatic and 25 (4.9%) a small, moderate or significant aneurysm. Two men with AAA were recommended for surgery. Feedback from participants indicated that the use of a personalised letter of invitation helped with recruitment, that the screening process was acceptable and the service valued. It is feasible to organise and operate a mobile AAA screening service from moderate sized rural and remote population centres. This model could be scaled up to provide national coverage for rural and remote residents.

Privacy-aware mobile services over road networks

Consider a mobile client who travels over roads and wishes to receive location-based services (LBS) from untrusted service providers. How might the user obtain such services without exposing her private position information? Meanwhile, how could the privacy protection mechanism incur no disincentive, e.g., excessive computation or communication cost, for any service provider or mobile user to participate in such a scheme? We detail this problem and present a general model for privacy-aware mobile services. A series of key features distinguish our solution from existing ones: a) it adopts the network-constrained mobility model (instead of the conventional random-waypoint model) to capture the privacy vulnerability of mobile users; b) it regards the attack resilience (for mobile users) and the query-processing cost (for service providers) as two critical measures for designing location privatization solutions, and provides corresponding analytical models; c) it proposes a robust and scalable location anonymization model, XStar, which best leverages the two measures; d) it introduces multi-folded optimizations in implementing XStar, which lead to further performance improvement. A comprehensive experimental evaluation is conducted to validate the analytical models and the efficacy of XStar.

An extension of technology acceptance model: Analysis of the adoption of mobile data services in China

AbstractMobile data services are entering into all aspects of people's life and are expected to be an important revenue source of telecom carriers. Nevertheless, the acceptance pace of mobile data services is slower than the expected level projected by the telecommunication industry. This research investigated the reason that people use mobile data services in China. Combined with subscribers' experience factors, an extended technology acceptance model (TAM) for mobile data services was presented. The model was tested using data collected from 802 mobile subscribers. The findings of the study indicate that mobile voice service and innovation experience of mobile data services affect subscribers' consumption intention greatly; subscribers' perceived ease‐of‐use and brand experience influence subscribers' attitude towards mobile data services largely. Promotion of mobile data services is most effective when it is promoted with perfect voice service experience. Additionally, our findings suggest that mobile service carriers need to enhance their investments in mobile data services' R&D. Collaboration among the value chain members of mobile data services will promise cutting‐edge new products and services. Using system methodology, a mobile data service infusion system model was constructed to explain the general adoption rules of mobile data services. The adoption of mobile data services in mobile logistics area was also discussed. Copyright © 2009 John Wiley & Sons, Ltd.

User Acceptance of Mobile Services

Personal mobile devices are increasingly being used as platforms for interactive services. Ease of use is important, but the services should also provide clear value to the user and they should be trustworthy and easy to adopt. These user acceptance factors form the core of the Technology Acceptance Model for Mobile Services introduced in this article. The model has been set up based on field trials of several mobile services with altogether more than 200 test users. This article presents the technology acceptance model and introduces two case studies of implementing the model as a design and evaluation framework in practice.

New insights into the acceptance of mobile internet services: a mixed-method approach

Based on the Theory of Reasoned Action, the Technology Acceptance Model, recent empirical results and a qualitative prestudy, we propose an acceptance model for mobile internet services. Participants in both a non-usage and a usage environment of a mobile parking service are surveyed. The results indicate that the model has high explanatory power, and highlight the importance of personal innovativeness, perceived usefulness and the pleasure of self-expression. The influence of the latter construct is related solely to anticipating the actual usage of a mobile parking service in a usage environment, whereas in a non-usage environment, it determines general attitudes besides usage intention. The causal path of attitude-intention-behaviour is weak, suggesting some specific inferences from reasons to resist and reject mobile services.

An interaction model for mobile agent services using social networks

An interaction model for mobile agent services using social networks

Universal telecommunication service: A world perspective

Worldwide telecommunications demand is estimated in models for business and residential mainline telephone, and for mobile telephone service using separate models for developed and developing countries for the period 1996–2001. We test for cross-price elasticities between mainline and mobile service and find that the results are generally suggestive of current complementary relationships. We find residential monthly price elasticity to be no different than zero for a sample of developing countries, but the connection elasticity is statistically significant. Mobile monthly service elasticity is much larger than those for mainline service, suggesting that universal service in developing countries might be promoted more effectively with subsidies for mobile service. Income elasticities for the residential model are modest while the mobile service model income elasticity for developing countries is much higher. Expanding markets, income growth and enhanced education may be the ultimate universal service promoters.

A Global Ticket-Based Access Scheme for Mobile Users

This article presents a ticket-based access model for mobile services. The model supports efficient authentication of users, services and service providers over different domains. Tickets are used to verify correctness of the requested service as well as to direct billing information to the appropriate user. The service providers can avoid roaming to multiple service domains, only contacting a Credential Centre to certify the user's ticket since tickets carry all authorization information needed for the requested services. The user can preserve anonymity and read a clear record of charges in the Credential Centre at anytime. Furthermore, the identity of misbehaving users can be revealed by a Trusted Centre.

Comprehensive Emergency Mental Health Care

Back to table of contents Previous article Next article Book ReviewFull AccessComprehensive Emergency Mental Health CareDonna M. Moores, M.D.Donna M. MooresSearch for more papers by this author, M.D.Published Online:1 Jul 1998https://doi.org/10.1176/ps.49.7.976AboutSectionsView EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InEmail This very readable, practical book presents an excellent outline of emergency behavioral health services. The authors describe their text as presenting a model of effective mobile emergency treatment services, providing a core of information legitimizing high-quality mental health crisis services in nontraditional settings, and serving as a training manual. The book fairly admirably reaches these goals.The authors are practicing psychiatrists and teachers, and their expertise in both of these areas is evident in their writing. Their level of comfort with this subject and their low-key approach is obvious even in the section titles, such as Nuts and Bolts of Program Operation, and Crash Course in Medical Psychiatry for the Nonphysician.Comprehensive Emergency Mental Health Care is written for a multidisciplinary audience, assuming a team approach to treatment. It moves from organizational theory, with attention to fiscal and political realities, to operational detail. Attention is given to the position of emergency and mobile services on the full continuum of mental health care. The emergency treatment team, as the authors envision it and have organized it, moves out of the confines of a particular building or institution—away from the traditional triage service to one that can provide definitive treatment in an impressive, modern-day version of the house call.The unifying focus is the patient who typically presents in a multifaceted crisis involving psychiatric symptoms, social stressors and support failures, medical-status questions, and safety issues. Thoughtful, sound approaches to care as well as specific protocols, forms, and other tools are included. Rich clinical detail and useful case examples are interspersed in a helpful, enlivening manner. The authors also attend to the needs of the practicing clinicians, offering strategies to combat burnout, and enhance clinical effectiveness through education, involvement in the process, and intense supportEmergency psychiatry is a very hands-on practice that requires a high level of organization and integration. Patients must be thoroughly yet efficiently evaluated. Individuals who are out of control or out of touch need humane, respectful attention. Important linkages must be made with the family, community supports, systems of mental health care, and medical services. Each emergency intervention is a unique opportunity to have a positive impact on a vulnerable person, an overwhelmed family. The accompanying risks are high.It is into such a high-pressure environment that this book brings order and optimism where there so often can be chaos. Front-line staff need training and support. Administrative organization must be logical and accessible. The services should have a sense of overall mission as well as day-to-day goals to focus the work. Drs. Zealberg and Santos have faced these challenges and given us a guidebook that can be useful to those in training, in practice, and in management.Dr. Moores is chief of clinical programs in psychiatry at the Boston Medical Center and vice-chair for clinical programs in the department of psychiatry at Boston University School of Medicine.by Joseph J. Zealberg, M.D., and Alberto B. Santos, M.D., with Jackie A. Puckett, L.M.S.W.; New York City, W. W. Norton & Company, 1996, 290 pages, $37 FiguresReferencesCited byDetailsCited ByNone Volume 49Issue 7 July 1998Pages 976-976 Metrics History Published online 1 July 1998 Published in print 1 July 1998