Yes / The governments, nowadays, throughout the world are increasingly becoming dependent on public opinion regarding the framing
and implementation of certain policies for the welfare of the general public. The role of social media is vital to this emerging trend.
Traditionally, lack of public participation in various policy making decision used to be a major cause of concern particularly when
formulating and evaluating such policies. However, the exponential rise in usage of social media platforms by general public has
given the government a wider insight to overcome this long pending dilemma. Cloud-based e-governance is currently being
realized due to IT infrastructure availability along with mindset changes of government advisors towards realizing the various
policies in a best possible manner. This paper presents a pragmatic approach that combines the capabilities of both cloud computing
and social media analytics towards efficient monitoring and controlling of governmental policies through public involvement. The
proposed system has provided us some encouraging results, when tested for Goods and Services Tax (GST) implementation by
Indian government and established that it can be successfully implemented for efficient policy making and implementation.
Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/17468 |
Date | 25 October 2019 |
Creators | Singh, P., Dwivedi, Y.K., Kahlon, K.S., Sawhney, R.S., Alalwan, A.A., Rana, Nripendra P. |
Source Sets | Bradford Scholars |
Language | English |
Detected Language | English |
Type | Article, Published version |
Rights | © The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
Page generated in 0.1739 seconds