A new approach for mobile communication: web services using flexible services architecture

Sharma, Sushil; Kitchens, Fred L.; Miller, Phillip J.

doi:10.1504/ijmc.2003.003496

Cited by 14 publications

(4 citation statements)

References 8 publications

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“…In the area of mobile content distribution, there has been a considerable amount of research on how Web services can be used to provide content and information to mobile users, as explained in [2] and [18]. In addition to this one-way information consumption, modern mobile devices are themselves capable of providing information, paving the way to new possibilities for content distribution, with their own new challenges in a mobile environment.…”

Section: Related Workmentioning

confidence: 99%

Mobile execution environment for non-intermediated content distribution

Christophe¹,

Narganes

Antila

et al. 2011

Bell Labs Tech. J.

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Despite the availability of various mobile features and the ability to stay always connected, there are very few applications that truly take advantage of the mobile platform. Frequently, mobile applications are just reduced versions of or thin interfaces to existing personal computer (PC)‐based applications, and therefore do not support specific mobile features. Moreover, Web‐based applications are seldom rendered appropriately on mobile devices. Finally, mobile applications are designed for the exclusive use of the mobile owner, interacting with the network using a client/server approach. This paper presents the concept of distributed mobile applications, focusing on the use of mobile capabilities that allow users to generate content and to access that content using a mobile‐to‐mobile interaction approach. It provides a blueprint for a new multi provider/multi consumer decentralized platform which will provide users with access to content that may have been previously unavailable via dedicated applications. © 2011 Alcatel‐Lucent.

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Section: Related Workmentioning

confidence: 99%

Mobile execution environment for non-intermediated content distribution

Christophe¹,

Narganes

Antila

et al. 2011

Bell Labs Tech. J.

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“…Marketing applications in m-commerce may automatically alert users of special sales at nearby shops based on their locations and interests. Transaction-oriented m-commerce such as trading stocks often requires immediate action even when people are traveling [12]. M-commerce applications usually include micro-payment mechanisms that allow mobile users to pay for products purchased from vending machines or to buy tickets through mobile devices.…”

Section: Business Opportunities For M-servicesmentioning

confidence: 99%

Providing web services to mobile users: the architecture design of an m-service portal

Chen

Zhang

Zhou

2005

IJMC

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In order to reduce costs and gain competitive advantages, many companies are offering web services that enable software components to be accessed by their customers and trading partners over the internet. With the latest advances in mobile computing and communication technologies, web services are increasingly used to expose functionalities of many legacy systems so that more business-oriented mobile applications can be developed. In this paper, we first use a generic technical architecture. Then, we provide a classification matrix for grouping various mobile services. The architecture design of an m-service portal is proposed, followed by the description of an m-service prototype in support of e-procurement developed by the authors. Potential enhancement to the m-service portal using agent technology is also discussed. Finally, we suggest some further research issues of dynamic web services in the context of m-service portals and context-aware m-services.

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“…Using a cloud computing e-learning system has its own properties and requires a specific approach. Over the years of research by researchers, various terminology has been applied to the concepts of e-learning, media and technology: computer, bandwidth, multimedia, interactive, hyperlinked, collaborative, distance learning, simulated situation, hyperlearning, media-rich, more formal, structured, broadband, intelligent and usable (Kumar Basak et al, 2018;Laouris and Eteokleous, 2005;Sharma and Kitchens, 2004;Soualah-Alila et al, 2013;Traxler, 2007).…”

Section: Introductionmentioning

confidence: 99%

Explaining the effect of artificial intelligence on the technology acceptance model in media: a cloud computing approach

Tavakoli

Mozaffari

Danaei

et al. 2022

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Purpose The purpose of this paper is to explain the effect of the technology acceptance model in the media environment by using the mediating role of artificial intelligence and the cloud computing approach. Design/methodology/approach After reviewing the theoretical foundations, a conceptual model framework and research hypotheses were formed. The statistical population of the study included managers, deputies and experts from the National Iranian Oil Company, and a statistical sample of 368 people was selected by simple random sampling. Findings The results of structural equation modelling with PLS 2.0 software show a positive and significant effect on the artificial intelligence variable in the technology acceptance model with the cloud approach. Artificial intelligence has opened a new space in the digital world, especially in the media, so that its profound impact is quite evident and has affected people’s lives. Originality/value The acceleration of various technologies has severely challenged the approach of organizations, especially the media. The media environment with word of the technologies of the Industry 4.0, especially cloud computing technology, has changed the ways of accessing and using products and services.

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A new approach for mobile communication: web services using flexible services architecture

Cited by 14 publications

References 8 publications

Mobile execution environment for non-intermediated content distribution

Mobile execution environment for non-intermediated content distribution

Providing web services to mobile users: the architecture design of an m-service portal

Explaining the effect of artificial intelligence on the technology acceptance model in media: a cloud computing approach

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