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Reseach Article

Prioritization of Decision Variables for SMBE Cloud based Big Data Solutions Adoption

by Somesh Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 142 - Number 1
Year of Publication: 2016
Authors: Somesh Kumar
10.5120/ijca2016909659

Somesh Kumar . Prioritization of Decision Variables for SMBE Cloud based Big Data Solutions Adoption. International Journal of Computer Applications. 142, 1 ( May 2016), 12-19. DOI=10.5120/ijca2016909659

@article{ 10.5120/ijca2016909659,
author = { Somesh Kumar },
title = { Prioritization of Decision Variables for SMBE Cloud based Big Data Solutions Adoption },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 142 },
number = { 1 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 12-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume142/number1/24860-2016909659/ },
doi = { 10.5120/ijca2016909659 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:43:45.915199+05:30
%A Somesh Kumar
%T Prioritization of Decision Variables for SMBE Cloud based Big Data Solutions Adoption
%J International Journal of Computer Applications
%@ 0975-8887
%V 142
%N 1
%P 12-19
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data is becoming the top asset for most organizations and is the key success factor for organizations who are market leaders. The phenomenal growth of Internet and its adoption by consumers has completely changed the market landscape. Consumers are more aware and have various ways of expressing their opinions, thoughts and concerns. Organizations can now no longer ignore these sources of consumer voice and have to be agile enough to use this data to understand the new consumer and his needs. With technological advancement and better business processes, also comes the ability to collect huge data which was never possible before. A typical organization has millions of data records related to functions like Production, Supply Chain, Finance, Customers etc which provide insights into system functionality and maturity. As a bottom line, Organizations have access to Big Data related to its internal processes and external environment which can be used to understand the evolving consumer needs and help these enterprises to move from old age reactive analytics to new proactive and better business interactions and data based business decisions. Until recently only large organizations had the resources to collect access and crunch this data, providing them a competitive edge over others. But with the maturity of Cloud technology these capabilities are now available to the SMBE sector too. Small and medium business organizations can now use cloud based Big Data tools to move ahead and create a niche for themselves in the market irrespective of cost and technology skill barriers. This empirical study looks at the Small and Medium Business Enterprise (SMBE) Sector and aims at identifying top five factors / attributes which influence SMBE adoption of Cloud based Big Data Solutions and ranking these factors based on importance. Data is gathered from SMBEs using various market research techniques including questionnaires and detail interviews. Prioritization of these factors is done using Conjoint Analysis. The result of this study can be leveraged by Big Data Solution vendors to create cloud offerings specific to SMBE sector.

References
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Index Terms

Computer Science
Information Sciences

Keywords

SMBE CAGR CBDS