ADAPTING SUPR-Q INTO TURKISH FOR ASSESSING USER EXPERIENCE IN WEB AND MOBILE SERVICES

Average Revenue Per User (ARPU) is a measure of the revenue generated by users of a particular business service. It is a term most commonly used by consumer communications and networking businesses. For mobile devices, they generate ARPU through network and content services (value-added services) that they make accessible to the user. The more accessible these services are the greater the ARPU generated. The harder something is to find, the less likely someone is to use it. This paper explores the potential continuum between ARPU and service discoverability for mobile services by comparing and contrasting various technologies with respect to development, user experience, security, and commercialisation.

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Determinants and Effects of Mobile Service Customization

International Journal of Information Systems in the Service Sector ◽

10.4018/ijisss.2018100105 ◽

2018 ◽

Vol 10 (4) ◽

pp. 73-87

Author(s):

Boonlert Watjatrakul

Keyword(s):

User Experience ◽

Information Seeking ◽

Service Providers ◽

Mobile Services ◽

Social Value ◽

Mobile Service ◽

Service Adoption ◽

Hedonic Value ◽

Utilitarian Value ◽

Service Customization

Service customization enables users to custom-made services for their specific needs while service providers can use custom outputs to offer superior services for their users. Less attention, however, has been paid to what factors influence individuals to customize mobile service differently and how custom outputs affect their intentions to use the services. The article proposes a new framework to examine the effects of information seeking and user experience on service customization (service configuration and custom outputs) and the effect of the service customization on users' intentions to adopt mobile services through the three values of mobile services–utilitarian value, hedonic value, and social value. The application-to-person short messaging service (A2P SMS) is used as the domain of study. The structural equation modeling (SEM) technique was used for data analysis. The results indicate that information-seeking and user experience regulate users' abilities to customize mobile services. Specifically, information seeking affects custom outputs while user experience affects service configuration. The results also show that custom outputs influence users' intentions to adopt mobile services through the perceived values of mobile services' utilitarian value, hedonic value, and social value. Hedonic value and social value have direct effects on mobile service adoption. This article broadens knowledge and understanding of mobile service adoption and provides guidance to service providers for effectively utilizing their customization strategies to enhance users' adoption of their services.

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Smartphone Crowdsourcing and Data Sharing Towards Advancing User Experience and Mobile Services

International Journal of Interactive Mobile Technologies (iJIM) ◽

10.3991/ijim.v14i03.11815 ◽

2020 ◽

Vol 14 (03) ◽

pp. 38

Author(s):

Efthymios Alepis ◽

Aristea Kontogianni

Keyword(s):

Data Sharing ◽

User Experience ◽

Internet Access ◽

Mobile Services ◽

Network Data ◽

Signal Quality ◽

Android Application ◽

Internet Connectivity ◽

Recent Advances ◽

Signal Coverage

Recent advances in IT have offered people the opportunity to have powerful ultramobile devices in their pockets incorporating a plethora of capabilities which, in most cases, require Internet connectivity. This constant need for Internet access though, especially when a wireless hotspot is unavailable requires connection via network data. The fixed cellular data packages offered by carriers usually do not come for free and to a large extend cannot be adapted to the dynamic needs of users who sometimes need more than they own, while in other cases under-use their network data. This issue, in combination with the fact that signal quality in many areas is not even fair for one or more carriers has led to the development of a novel android application that aims at allowing users in general and tourists to “foresee” bad signal coverage at places of their interest, as well as to share their cellular data via mobile tethering.

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Introduction

Advances in Wireless Technologies and Telecommunication - Quality of Service Architectures for Wireless Networks ◽

10.4018/978-1-61520-680-3.ch001 ◽

2010 ◽

pp. 1-13 ◽

Cited By ~ 1

Author(s):

Sasan Adibi ◽

Raj Jain ◽

Shyam Parekh ◽

Bell Labs

Keyword(s):

Wireless Networks ◽

Quality Of Service ◽

User Experience ◽

Quality Of Experience ◽

Mobile Services ◽

Network Resources ◽

Acceptable Quality ◽

New Challenges

Emergence of all IP based wired and wireless networks for mobile services, calls for new innovations and architectural approaches. Coexistence of legacy and emerging networks such as different generations of networks based on 3GPP and 3GPP2 specifications, Wi-Fi and WiMAX, have posed new challenges to guarantee acceptable Quality of Experience (QoE) to the users. Different user environments such as fixed, nomadic, and vehicular have brought about new Quality of Service (QoS) practices and have introduced policies to best optimize the network resources and enhance user experience.

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How Thick Is Your Client?

International Journal of Web Portals ◽

10.4018/jwp.2010040101 ◽

2010 ◽

Vol 2 (2) ◽

pp. 1-11

Author(s):

Ed Young ◽

Michael Jessopp

Keyword(s):

Mobile Devices ◽

User Experience ◽

Value Added ◽

Mobile Services ◽

Business Service ◽

Average Revenue

Average Revenue Per User (ARPU) is a measure of the revenue generated by users of a particular business service. It is a term most commonly used by consumer communications and networking businesses. For mobile devices, they generate ARPU through network and content services (value-added services) that they make accessible to the user. The more accessible these services are the greater the ARPU generated. The harder something is to find, the less likely someone is to use it. This paper explores the potential continuum between ARPU and service discoverability for mobile services by comparing and contrasting various technologies with respect to development, user experience, security, and commercialisation.

Download Full-text