Heuristiken für Information Appliances

2014 ◽  
pp. 275-284 ◽  
Keyword(s):  
Information Appliances

12.1: 12.1ʹ SVGA Microencapsulated Electrophoretic Active Matrix Display for Information Appliances

2001 ◽  
Vol 32 (1) ◽  
pp. 152 ◽  
Author(s):  
P. Kazlas ◽  
J. Au ◽  
K. Geramita ◽  
H. Gates ◽  
M. Steiner ◽  
...  
Keyword(s):  
Active Matrix ◽  
Information Appliances

Understanding Personal Mobile Technologies: Decomposing and De-Averaging the Value of a Smartphone

2013 ◽  
Vol 28 (1) ◽  
pp. 167-185 ◽  
Author(s):  
Alessandro Arbore ◽  
Rebecca Graziani ◽  
Sergio Venturini
Keyword(s):  
Latent Class ◽  
Individual Characteristics ◽  
Mobile Technologies ◽  
Control Beliefs ◽  
Value Drivers ◽  
Functional Value ◽  
Value Perceptions ◽  
Information Appliances ◽  
Public Self Consciousness

ABSTRACT The study focuses on the multifaceted motives for adopting personal technologies. Specifically, it uses earlier models of technology adoption to develop a model of smartphone acceptance. The model is unique in that it decomposes attitudinal beliefs into three components: functional value, hedonic value, and symbolic value. Latent class analysis facilitates the identification of three user types. The analysis shows that value drivers, control beliefs, and normative beliefs play different roles for determining smartphone acceptance, depending on three different individual characteristics (i.e., playfulness, public self-consciousness, and innovativeness). The paper makes a contribution to the information systems literature by providing an analysis of the drivers of overall value perceptions for multipurpose information appliances and of the role of individual differences among potential users in forming these attitudes.

Present and Future of Mobile Commerce

2018 ◽  
pp. 1431-1447
Author(s):  
Barkha Narang ◽  
Jyoti Batra Arora
Keyword(s):  
Mobile Devices ◽  
Pervasive Computing ◽  
Mobile Device ◽  
Context Awareness ◽  
Mobile Commerce ◽  
The Other ◽  
Commercial Activity ◽  
Software Applications ◽  
Information Appliances ◽  
The One

Mobile Commerce is a term to describe any commercial activity on a mobile device, such as a mobile phone (iPhone, Android, Blackberry) or a tablet (iPad, Galaxy Tab, Surface). This includes all steps of the customer journey; reach, attract, choose, convert and retain. Hence mobile commerce is probably best described as shopping that takes advantage of unique properties of mobile devices. It is also called as m-commerce. Pervasive computing aims at availability and invisibility. On the one hand, pervasive computing can be defined as availability of software applications and information anywhere and anytime. On the other hand, pervasive computing also means that computers are hidden in numerous so-called information appliances that we use in our day-to-day lives Characteristics of pervasive computing applications have been identified as interaction transparency, context awareness, and automated capture of experiences.

Present and Future of Mobile Commerce

2016 ◽  
pp. 293-308 ◽  
Author(s):  
Barkha Narang ◽  
Jyoti Batra Arora
Keyword(s):  
Mobile Devices ◽  
Pervasive Computing ◽  
Mobile Device ◽  
Context Awareness ◽  
Mobile Commerce ◽  
The Other ◽  
Commercial Activity ◽  
Software Applications ◽  
Information Appliances ◽  
The One

Mobile Commerce is a term to describe any commercial activity on a mobile device, such as a mobile phone (iPhone, Android, Blackberry) or a tablet (iPad, Galaxy Tab, Surface). This includes all steps of the customer journey; reach, attract, choose, convert and retain. Hence mobile commerce is probably best described as shopping that takes advantage of unique properties of mobile devices. It is also called as m-commerce. Pervasive computing aims at availability and invisibility. On the one hand, pervasive computing can be defined as availability of software applications and information anywhere and anytime. On the other hand, pervasive computing also means that computers are hidden in numerous so-called information appliances that we use in our day-to-day lives Characteristics of pervasive computing applications have been identified as interaction transparency, context awareness, and automated capture of experiences.

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