Building a Data-Savvy Organization: The Intersection of Organizational Change Management and Data Literacy |
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| © 2024 by IJCTT Journal | ||
| Volume-72 Issue-6 |
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| Year of Publication : 2024 | ||
| Authors : Chhaya Kewalramani, Sriram Panyam | ||
| DOI : 10.14445/22312803/IJCTT-V72I6P101 | ||
How to Cite?
Chhaya Kewalramani, Sriram Panyam, "Building a Data-Savvy Organization: The Intersection of Organizational Change Management and Data Literacy," International Journal of Computer Trends and Technology, vol. 72, no. 6, pp. 1-7, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I6P101
Abstract
This paper investigates the critical interplay between data literacy and Organizational change management in fostering adaptable, data-informed organizations. It emphasizes the necessity of data literacy—defined as the capacity to comprehend and apply data in decision-making processes—and its integration within the broader organizational culture through change management practices. The study synthesizes literature and case studies across sectors to illustrate the transformative impact of combining data literacy with change management strategies on organizational effectiveness. By Highlighting best practices, the research advocates for a strategic approach to inculcate data literacy, underscoring change management’s role in ensuring sustainable adoption and aimed at facilitating organizations’ journey through digital transformation; this paper provides actionable insights for building a future-ready, data-literate workforce. The Paper contributes a practical framework for leveraging data literacy as a catalyst for organizational success in the digital age.
Keywords
Data literacy, Decision making, Change management, Data-driven organizations, Digital transformations, Stakeholder management, Adoption of change, Data and Analytics, Business intelligence.
Reference
[1] Chantel Ridsdale et al., “Strategies and Best Practices for Data Literacy Education: Knowledge Synthesis Report,” Dalhousie University, 2015.
[Google Scholar] [Publisher Link]
[2] John Hayes, The Theory and Practice of Change Management, Palgrave Macmillan, 2014.
[Google Scholar] [Publisher Link]
[3] Gartner, Gartner Glossary: Data Literacy, 2020.
[Publisher Link]
[4] Kurt Lewin, “Frontiers in Group Dynamics: Concept, Method and Reality in Social Science, Social Equilibria and Social Change,” Human Relations, vol. 1, no. 1, pp. 5-41, 1947.
[CrossRef] [Google Scholar] [Publisher Link]
[5] John P. Kotter, Leading Change, Boston, MA: Harvard Business School Press, 1996.
[Google Scholar] [Publisher Link]
[6] Jeff Hiatt, ADKAR: A Model for Change in Business, Government, and Our Community, Loveland, CO: Prosci Learning Center Publications, 2006.
[Google Scholar] [Publisher Link]
[7] Prosci, Best Practices in Change Management, Prosci Benchmarking Report, 2020.
[Publisher Link]
[8] Sheila Corrall, “The Wicked Problem of Data Literacy: A Call for Action,” LILAC: The Information Literacy Conference, 2019.
[Google Scholar] [Publisher Link]
[9] Erica Deahl, “Better the Data You Know: Developing Youth Data Literacy in Schools and Informal Learning Environments,” SSRN, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Mark Frank, and Johanna Walker, “Some Key Challenges for Data Literacy,” The Journal of Community Informatics, vol. 12, no. 3, pp. 232-235, 2016.
[CrossRef] [Publisher Link]
[11] Jonathan Gray, Carolin Gerlitz, and Liliana Bounegru, “Data Infrastructure Literacy,” Big Data & Society, vol. 5, no. 2, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Xiaorong Hou, “Research on the Necessity of Data Literacy Cultivation Based on Data Lifecycle,” International Core Journal of Engineering, vol. 5, no. 9, pp. 75-78, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Yeonji Kim, and Hyuk Suh, “The Direction of Literacy Education in the Context of ‘Datafication’: Reviewing Alternative Discussions on Data Literacy,” Korean Literacy Society, vol. 13, no. 5, pp. 379-411, 2022.
[CrossRef] [Publisher Link]
[14] Annette Kratcoski et al., “Thinking with Data: A Cross-Disciplinary Approach to Teaching Data Literacy and Proportionality,” Educational Studies in Mathematics, vol. 81, pp. 179-205, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Catherine Murray-Rust et al., “Data Literacy as a Pathway to Data Science at Georgia Tech,” Research Library Issues, 2019.
[Google Scholar] [Publisher Link]