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Reseach Article

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

by Nikhil Wani, Ganesh Bhutkar, Shreeya Ekal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 168 - Number 9
Year of Publication: 2017
Authors: Nikhil Wani, Ganesh Bhutkar, Shreeya Ekal

Nikhil Wani, Ganesh Bhutkar, Shreeya Ekal . Conducting Contextual Inquiry of Twitter for Work Engagement: An Indian Perspective. International Journal of Computer Applications. 168, 9 ( Jun 2017), 27-36. DOI=10.5120/ijca2017914504

@article{ 10.5120/ijca2017914504,
author = { Nikhil Wani, Ganesh Bhutkar, Shreeya Ekal },
title = { Conducting Contextual Inquiry of Twitter for Work Engagement: An Indian Perspective },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2017 },
volume = { 168 },
number = { 9 },
month = { Jun },
year = { 2017 },
issn = { 0975-8887 },
pages = { 27-36 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2017914504 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:15:41.377083+05:30
%A Nikhil Wani
%A Ganesh Bhutkar
%A Shreeya Ekal
%T Conducting Contextual Inquiry of Twitter for Work Engagement: An Indian Perspective
%J International Journal of Computer Applications
%@ 0975-8887
%V 168
%N 9
%P 27-36
%D 2017
%I Foundation of Computer Science (FCS), NY, USA

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.

  1. Bakker, A. and Leiter, M. Work engagement. Psychology Press, Hove [England], 2010, 1-2.
  2. Bakker, A. and Schaufeli, W. Positive organizational behavior: engaged employees in flourishing organizations. Journal of Organizational Behavior 29, 2 (2008), 147-154.
  3. Bashar Nuseibeh and Steve Easterbrook. 2000. Requirements engineering: a roadmap. In Proceedings of the Conference on The Future of Software Engineering (ICSE '00). ACM, New York, NY, USA, 35-46. DOI=
  4. Beyer, H., Holtzblatt, 1998. Contextual Design. Morgan Kaufmann, San Francisco, CA. 46-120
  5. Bakker, Arnold B., and Evangelia Demerouti. "Towards A Model Of Work Engagement". Career Development International 13.3 (2008): 209-223. Web.
  6. Chinnapattan P. Contextual inquiry research: A guide., September 1, 2011.
  7. Company|,2016.
  8. De Angeli, A., Athavankar, U., Joshi, A., Coventry, L. and Johnson, G. Introducing ATMs in India: a contextual inquiry. Interacting with Computers 16, 1 (2004), 29-44.
  9. Dekker, S., Nyce, J. and Hoffman, R. From contextual inquiry to designable futures: what do we need to get there?. IEEE Intell. Syst. 18, 2 (2003), 74-77
  10. Designing the new Twitter profiles | Twitter Blogs, Rao, S.,2015.
  11. Devgan, A. IPL is the fastest growing sports league on Twitter. International Business Times UK, May, 16, 2016.
  12. Helander, M. Handbook of human-computer interaction. North-Holland, Amsterdam, 1991. 3-34
  13. Here Come the Marketing Bots. MIT Technology Review, 2016.
  14. Holtzblatt, K. and Jones, S. (1993) ‘Contextual Inquiry: a participatory technique for systems design’, in Participatory Design: principles and practice, Schuler, D. and Namioka, A. (eds), Lawrence Erlbaum, New Jersey, 177−192.
  15. Holtzblatt, K., Wendell, J. and Wood, S. Rapid contextual design. Elsevier/Morgan Kaufmann, San Francisco, 2005. 123-190
  16. How @replies work on Twitter (and how they might) | Twitter Blogs., 2008.
  17. Indians spend more time on Facebook, Twitter than on email: Survey - Times of India. The Times of India, 2016/
  18. Jhunjhunwala S, (2012). Review of Indian work culture and challenges faced by Indians in the era of globalisation. Interscience Management Review (IMR), 2(2), 70-73
  19. Kale, P., Bhutkar, G., Pawar, V. and Jathar, N. Contextual design of intelligent food carrier in refrigerator: An Indian perspective. In Human Work Interaction Design. Work Analysis and Interaction Design Methods for Pervasive and Smart Workplaces. Springer International Publishing, 212-225.
  20. Kalnirnay 2016 | ,
  21. Kumar, P., Vashisht, A., Sharma, A. An empirical study of customer confidence after big billion day sale 2014.South Asian Journal of Marketing & Management Research 5, 4 (2015), 97-105.
  22. New research: 8 ways early tech adopters use Twitter | Twitter Blogs., 2016.
  23. Notifications on mobile devices. Twitter Help Center, 2016.
  24. Price, R. Microsoft is deleting its AI chatbot's incredibly racist tweets. Business Insider, 2016.
  25. Raghu, G. Flipkart's Strategy., 2015.
  26. Raven, M. and Flanders, A. Using contextual inquiry to learn about your audiences. ACM SIGDOC Asterisk J. Comput. Doc. 20, 1 (1996), 1-13.
  27. Smith, C. 170+ Amazing Twitter Statistics. DMR, Updated 2017.
  28. Social Media In The Workplace Around The World 3.0. 1st ed. Proskauer, 2014. Web. 21 Mar. 2017.
  29. Tailored Trends bring you closer | Twitter Blogs., June 12, 2012.
  30. Ojeda-Zapata, J. Internet becomes lifeline, record. Twin Cities, Updated November, 14, 2015.
  31. Uddin, M. M., Imran, M., &Sajjad, H. (2014). Understanding types of users on Twitter. arXiv preprint arXiv:1406.1335.
  32. Langelaan, Saar et al. "Burnout And Work Engagement: Do Individual Differences Make A Difference?". Personality and Individual Differences 40.3 (2006): 521-532.
Index Terms

Computer Science
Information Sciences


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