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20 May 2024
Reseach Article

Technology and Knowledge Worker Productivity

by Chandan Agarwala
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 1
Year of Publication: 2014
Authors: Chandan Agarwala
10.5120/17783-8564

Chandan Agarwala . Technology and Knowledge Worker Productivity. International Journal of Computer Applications. 102, 1 ( September 2014), 31-35. DOI=10.5120/17783-8564

@article{ 10.5120/17783-8564,
author = { Chandan Agarwala },
title = { Technology and Knowledge Worker Productivity },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 1 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 31-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume102/number1/17783-8564/ },
doi = { 10.5120/17783-8564 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:32:02.654054+05:30
%A Chandan Agarwala
%T Technology and Knowledge Worker Productivity
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 1
%P 31-35
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

One of the fundamental assumption driving technology investment is more the merrier. The benefits achieved at task level for individuals are expected to eventually roll-up to organization-level productivity improvements. This paper explores the un-intended impacts of technology that stifles users' ability, to realize the full potential of organizational investment. While current generation of technologies has the ability to empower and engage employee's on-the-go, even in personal times, sometimes they threaten to imbalance personal life. Organizations need to exercise restraint to manage harmful impacts of multi-tasking and information overload caused by these technologies. The analysis is based on secondary research and empirical observations. These insights can help in product development and service offerings using newer technologies. Even, organizations and end-users can learn to frame appropriate roll-out plans and organization policies for technology adoption.

References
  1. Edwards, Cory 2012. Supercharging Productivity through workforce innovation. Forbes in press
  2. Matson, Eric and Prusak, Laurence 2010. Boosting the productivity of knowledge workers. McKinsey Quarterly
  3. Brynjolfsson, Erik 2013. Charting technology's new directions. McKinsey Insights & Publications
  4. Ashurst, C. , & Freer, A. 2011. Knowledge Work Productivity as part of 'Benefits-led IT' project, Newcastle University.
  5. Gartner. The Nexus of Forces: Social, Mobile, Cloud and Information. Retrieved 2014, from www. gartner. com
  6. Davenport, Thomas H. 2011. Rethinking knowledge work: A strategic approach. McKinsey Quarterly
  7. Ark, Bart van, Inklaar, Robert, McGuckin, Robert 2002. "Changing Gear" Productivity, ICT and Service Industries: Europe and United States. Groningen Growth and Development Center. University of Groningen
  8. Maclean, Dinah, 1997. Lagging Productivity Growth in the Service Sector: Mismeasurement, Mismanagement or Misinformation? Research Department. Bank of Canada
  9. Ramanathan, P. , & Agarwala, C. . Case Study: Innovation management using Social media and analytics. Retrieved 2014 from Dssresources. com.
  10. Agarwala, C. (2013). Convergence of IT and Business Return-on-Investment (RoI) Perspective. Leveraging IT for Competitive Advantage (pp. 12-16). Global Journal of Business Information System, Enriched Publications.
  11. Gartner. (n. d. ). Interpreting Technology Hype. Retrieved 2014, from www. gartner. com
  12. Bannister, F. , & Remenyi, D. (2009). Multitasking: the Uncertain Impact of Technology on Knowledge Workers and Managers. Electronic Journal Information Systems Evaluation Volume 12 Issue 1.
  13. Karr-Wisniewski, P. , & Lu, Y. (2010). When more is too much: Operationalizing technology overload and exploring its impact on knowledge worker productivity. Computers in Human Behavior, 1061-1072.
  14. Kamga, O. (2013). A Case for the Proportional Technologies Paradigm. Leveraging IT for Competitive Advantage (pp. 229-232). New Delhi: Enriched Publications.
  15. Bartel, P. Ann, Ichniowski, Casey, Shaw, Kathryn L. , 2005. How does IT really affect Productivity? Paper 11773, National Bureau of Economic Research.
  16. Gordon, Davis B. , Affordances of Ubiquitous Computing and Productivity in Knowledge Work, University of Minnesota
Index Terms

Computer Science
Information Sciences

Keywords

Human Augmentation Technology RoI Productivity Optimization