Hash Based Two Gateway Payment Protocol Ensuring Accountability with Dynamic ID-Verifier for Digital Goods Providers

2015 ◽  
pp. 369-384 ◽  
Author(s):  
Venkatasamy Sureshkumar ◽  
R. Anitha ◽  
N. Rajamanickam
Keyword(s):  
Digital Goods ◽  
Payment Protocol ◽  
Dynamic Id

Efficient Dynamic-Id Based Password Authenticated Key Agreement Using Smart Cards Without Time Concurrency

2008 ◽  
Vol 3 (1) ◽  
pp. 39-44
Author(s):  
Shoba Bindu C ◽  
Chandra Sekhar Reddy P ◽  
Satya Narayana B
Keyword(s):  
Key Agreement ◽  
Smart Cards ◽  
Authenticated Key Agreement ◽  
Dynamic Id

Online Distribution of Digital Goods: Empirical Evidence from Bottom-Up Cluster Analysis

2010 ◽  
Author(s):  
Maria Lillà Montagnani ◽  
Massimiliano Nuccio ◽  
Maurizio Borghi
Keyword(s):  
Cluster Analysis ◽  
Empirical Evidence ◽  
Digital Goods ◽  
Bottom Up

Analysis of approaches to assessing changes in welfare and real GDP growth during digitalization of the economy

2022 ◽  
pp. 126-146
Author(s):  
S. G. Marichev
Keyword(s):  
Economic Growth ◽  
Economic Effect ◽  
Added Value ◽  
Gdp Growth ◽  
Digital Goods ◽  
Relative Ease ◽  
Real Gdp ◽  
Digital Services ◽  
Republic Of Bashkortostan ◽  
The Republic

The paper attempts to estimate, in monetary terms, the volume of free digital services in GDP while assessing the contribution of digitalization to changes in welfare and economic growth. Approaches to such an estimation are analyzed and criticized. In particular, the calculation of the added value created in the digital sector does not properly reflect the economic effect of digitalization. Alternative auxiliary methods for estimating the contribution of digitalization to GDP growth are considered: the creation of satellite accounts of the digital economy within the SNA; the categorization and calculation of “purely” digital goods. The paper analyzes the methodology of calculating GDP which takes into account consumer surpluses from the use of free digital goods. The advantages of this methodology are outlined, including the consideration of a significant part of the digital sector of the economy in the calculation of GDP, as well as the relative ease of its use. This methodology was tested by drawing on the example of the Republic of Bashkortostan.

scholarly journals Matching Relation Between Consumer’s Psychology And Digital Goods Rankings

2015 ◽  
Vol 40 (2) ◽  
pp. 107-117
Author(s):  
Manyi Chen ◽  
Qi Wang ◽  
Hongzhi Liu
Keyword(s):  
Purchase Intention ◽  
Mobile Terminal ◽  
Analysis Method ◽  
Digital Goods ◽  
Digital Products ◽  
Consumption Behavior ◽  
Different Types ◽  
And Cluster Analysis ◽  
Ranking Information ◽  
Matching Relation

Abstract The development of digital goods has profoundly changed the economic relationship and trading methods. Among all the digital goods recommendation information, ranking information is of prominent significance. The rankings impact consumers positively as they make decisions on buying digital products. We serve rankings and consumer psychologies as the object of this study, and will offer references and suggestions for the customization of the mobile terminal. Combining factor and cluster analysis, we subdivide the rankings into three groups first based on consumers’ values and lifestyles: reputation ranking, consumption behavior ranking and purchase intention ranking. Then, we use a correspondence analysis method to conclude the matching relationship between different types of rankings and various consumption psychology groups.

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