4G User Acceptance Technology Prediction using Grey Prediction Algorithm

Abstract

The main objective in this study is to prediction of 4G user acceptance in India. Mobile technologies bring more benefits to users when more people use it in the network. This research will show the adoption intentions of 3G mobile technologies. With the completion of this objective of acceptance the next step to estimate the acceptance of 4G technology with the help of Grey Prediction Algorithm. The Grey Prediction Algorithm is the very powerful algorithm that will give better result for short term prediction. This study will support the migration to a more mobile computing environment by identifying the structural and contextual factors that facilitate the adoption of internet technology.

Authors and Affiliations

Sandeep Kumar Jhamta

Keywords

Related Articles

Enhancement in Predictive Model for Insurance Underwriting

Underwriting is the most important process of a business where a slight miscue can lead to blunders. An insurance organization’s success depends upon the correct assessment of the possible risks associated with each appl...

PROPOSED ARCHITECTURE: CLOUD BASED MEDICAL INFORMATION RETRIEVAL NETWORK

The latest developments and advancements in the computer science and information technology promise a massive potential that can be harnessed for the improvement of healthcare services especially in the developing countr...

A System Framework for Player Selection

The performance of Indian sport person has been pathetic at International level. The performance in any sport or game is a combine effect of various parameters like the Body Posture and Body Type, Diet, Exercise, Trainin...

Fault Tolerance in Wireless Sensor Networks using Stiffed Delaunay Triangulation

In this chapter, we introduce fault tolerance in Wireless Sensor Networks. Firstly, we start with a short description of sensor networks, fault tolerance and its different techniques. Then we discuss the different phases...

Implementation of Knowledge Mining with Ontology

Today, huge amount of data available on the web in the form of unstructured, semi-structured and unstructured data. With the use of ontology we can make structured data and use of knowledge mining. As, the knowledge mini...

Download PDF file
  • EP ID EP99053
  • DOI -
  • Views 219
  • Downloads 0

How To Cite

Sandeep Kumar Jhamta (2013). 4G User Acceptance Technology Prediction using Grey Prediction Algorithm. International Journal of Computer Science & Engineering Technology, 4(11), 1377-1382. https://europub.co.uk/articles/-A-99053