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Conducting Contextual Inquiry of Twitter for Work Engagement: An Indian Perspective

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Nikhil Wani, Ganesh Bhutkar, Shreeya Ekal
10.5120/ijca2017914504

Nikhil Wani, Ganesh Bhutkar and Shreeya Ekal. Conducting Contextual Inquiry of Twitter for Work Engagement: An Indian Perspective. International Journal of Computer Applications 168(9):27-36, June 2017. BibTeX

@article{10.5120/ijca2017914504,
	author = {Nikhil Wani and Ganesh Bhutkar and Shreeya Ekal},
	title = {Conducting Contextual Inquiry of Twitter for Work Engagement: An Indian Perspective},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2017},
	volume = {168},
	number = {9},
	month = {Jun},
	year = {2017},
	issn = {0975-8887},
	pages = {27-36},
	numpages = {10},
	url = {http://www.ijcaonline.org/archives/volume168/number9/27903-2017914504},
	doi = {10.5120/ijca2017914504},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

This research paper presents a comprehensive Contextual Inquiry (CI) of Indian Twitter users and then proposes related work models with interesting insights into aspects that contribute to their work engagement. The study involved observing the users interact with Twitter in their workplaces, which has helped in understanding their behavioral preferences for an engaging work environment. Furthermore, a series of structured contextual interviews and onsite visits were carried out with a convenient sampling of 18 users from diverse environments. A random sampling of 2,000 Indian users was programmatically derived and analyzed which reflects the essence of Twitter usage in work environments. The resultant data was documented for advancing to the second-order analysis, which strengthens the premises of the four proposed work models. They aim at developing and communicating a better understanding of Indian Twitter users to facilitate future contextual designs. In addition, the paper analyzes the genuine usability issues that prevent a smooth design for work engagement. It also identifies the opportunities for understanding global and local cultural differences of Twitter users. Looking into the future, we revisit Twitter’s design architecture and derive key aspects that extend the dimensions of work engagement leading to facilitation of apt business strategies for Indian Twitter users. In future, this CI study will form the basis for work engaging Twitter bots that adhere to ethnographic strategies during their service to regional users.

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Keywords

Contextual Inquiry; Work Engagement; Ethnographic study - Indian Users; Twitter; Work Models; Data Analytics.