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Advances in Computational Intelligence in Materials Science

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2nd International Conference on Materials Science and Sustainable Manufacturing Technology

Operationalization of Design Thinking in Business Intelligence and Analysis

V.S.Akshaya, Keerthana S, Philomina M, Pradeepa N R, Purnimah S V, Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, India.


Online First : 07 June 2023
Publisher Name : AnaPub Publications, Kenya.
ISBN (Online) : 978-9914-9946-9-8
ISBN (Print) : 978-9914-9946-8-1
Pages : 028-035

Abstract


In Information Systems research, the majority of early studies concentrate on applying the specific toolkit to produceDesigningproductsandsystemstosolvestrategies, managerial, and operational challenges. Design Thinking has been effectively implemented in numerous domains. There is a minimal study on how Design Thinking may be supported in the context of business intelligence (BI) and also the analytics of business and integrated into the IS design- oriented aim to facilitate research (BA). How effective is Design Thinking facilitated in comparison to BI/BA to learn in a classroom setting, particularly in the proof-of-concept stage? How can it be integrated into the learning processes? Along with a guideline for the team involved in design thinking and the lessons acquired from each step of Design Thinking, a practical perspective on integrating the mentality and toolkit. As a case-based educational experience, it offers a design-thinking approach to the learning process. The findings of this study demonstrate that students may use Design Thinking techniques to frame their works and that these techniques are important alternatives for developing curriculum for teaching and learning.

Keywords


Design Thinking, Business Intelligence, Information Systems research, Social Innovation, Problem-Solving Practices

  1. Akshaya, V., et al. (2016). Business Intelligence as a Service in Analysis. International Journal of Applied Engineering Research, 2(4), 2458-2467.
  2. Sathyanarayanan, M. (2019). Post-Doctoral Fellowship (PDF) in the area of Cybersecurity. CEO of MIT SQUARE, London.
  3. Haldorai, A. et al, eds., 2018. Cognitive social mining applications in data analytics and forensics. IGI Global.
  4. Anandakumar, H et al, 2019. Computational intelligence and sustainable systems. EAI/Springer Innovations in Communication and Computing.
  5. Prasanna, et al, 2021, March. Data Validation and Migration-A Theoretical Perspective. In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 1540-1543). IEEE.
  6. Adams, R.S, et al, 2011. Being a professional: Three lenses into design thinking, acting, and being. Design Studies, 32(6), pp.588-607.
  7. Asamoah, D.A., et al, 2017. Preparing a data scientist: A pedagogic experience in designing a big data analytics course. Decision Sciences Journal of Innovative Education, 15(2), pp.161-190.
  8. Brown, T., et al, (2010). Design thinking for social innovation. Development Outreach, 12(1), 29–43.
  9. Burdick, A., et al, (2011). Digital learning, digital scholarship, and design thinking. Design Studies, 32(6), 546–556.
  10. Wolff, K. (2018). A language for the analysis of disciplinary boundary crossing: Insights from engineering problem-solving practice. Teaching in Higher Education, 23(1), 104–119.
  11. Watchorn, V, et al, (2019). Strategies and effectiveness of teaching universal design in a cross-faculty setting. Teaching in Higher Education, 18 (5), 477–490.
  12. Seidel, V.P. and Fixson, S.K., 2013. Adopting design thinking in novice multidisciplinary teams: The applicatio n and limits of design methods and reflexive practices. Journal of Product Innovation Management, 30, pp.19-33.
  13. Phillips-Wren, et al(2019). Business analytics in the context of big data: A roadmap for research. Communications of the Association for Information Systems, 37(1), 448–472.
  14. Nunamaker, Jr, J.F. and Briggs, R.O., 2012. Toward a broader vision for information systems. ACM Transactions on Management Information Systems (TMIS), 2(4), pp.1-12.
  15. McLaughlan, R. and Lodge, J.M., 2019. Facilitating epistemic fluency through design thinking: a strategy for the broader application of studio pedagogy within higher education. Teaching in Higher Education, 24(1), pp.81-97.
  16. Lindberg, T., et al (2018). Design thinking: A fruitful concept for its development? In C. Meinel, L. Leifer, H. Plattner (Eds.), Designthinking. Berlin, Heidelberg: Springer, pp. 3–18.
  17. Lindberg, T, et al 2012. On the perception, adoption, and implementation of design thinking in the IT industry. In Design thinking research (pp. 229-240). Springer, Berlin, Heidelberg.
  18. Hildenbrand, T., & Meyer, J. (2019). Intertwining lean and design thinking: Software product development from empathy to shipment. In A. Maedche, A. Botzenhardt, L. Neer (Eds.), Software for people. Berlin, Heidelberg: Springer, pp. 217–237
  19. Frisk, J. E., Lindgren, R., et al(2019). Design matters for decision-makers: Discovering IT investment alternatives. European Journal of Information Systems, 23(4), 442–461.
  20. Chen, H., Chiang, R. H. L., &Storey, V. C. (2019). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165–1188

Cite this article


V.S.Akshaya, Keerthana S, Philomina M, Pradeepa N R, Purnimah S V, “Operationalization of Design Thinking in Business Intelligence and Analysis”, Advances in Computational Intelligence in Materials Science, pp. 028-035, May. 2023. doi:10.53759/acims/978-9914-9946-9-8_6

Copyright


© 2023 V.S.Akshaya, Keerthana S, Philomina M, Pradeepa N R, Purnimah S V. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.