Digital Transformation in the Use of Organizational Assets

Authors

  • Shuto Yasuhiro Japan Advanced Institute of Science and Technology
  • Uchihira Naoshi Japan Advanced Institute of Science and Technology

Keywords:

Digital Transformation, Knowledge Management, Lean Development

Abstract

Many companies have been operating for business systems for a long period of time and have therefore accumulated a large amount of data. The data were originally accumulated on the premise that they would be used for business purposes, and they can be said to have achieved their traditional purpose. By combining these data with various internal and external data, it may become possible to create new value. For example, General Electric (GE) provides new value to its customers—such as reducing operating costs and offering just-in-time maintenance—by using data that had been collected for the purpose of jet engine maintenance and for flight route optimization. In order to utilize data as in the preceding examples, it is necessary to have knowledge about data, to realize the value provided by combining it with existing data, and to understand the digital technologies that make it possible to materialize. This research examines cases in which digital transformation has been successfully realized by combining existing data with other data, considers the characteristics of these cases and the impact of tacit knowledge on them, and explores the effective use of organizational assets in digital transformation.

Author Biographies

Shuto Yasuhiro, Japan Advanced Institute of Science and Technology

Yasuhiro Shuto is currently a PhD student at Japan Advanced Institute of Science and Technology (JAIST). He worked for Sony Group for 10 years, and was involved in broadcasting equipment, e-commerce, Internet video distribution business, and electronic payment business. Currently, he is a business manager at a data analysis and AI development company focusing on the marketing domain. His current research interests include digital transform

Uchihira Naoshi , Japan Advanced Institute of Science and Technology

Naoshi Uchihira is Professor of Japan Advanced Institute of Science and Technology (JAIST). He received Dr. Eng. degrees from Tokyo Institute of Technology, and Ph.D. (Knowledge Science) from JAIST in 1997 and 2010, respectively. He worked at the corporate R&D center of Toshiba Corporation from 1982 to 2013. His current research interests include project management and digital innovation design

References

Bughin, Jacques, and Nicolas van Zeebroeck.,: 6 Digital Strategies, and Why Some Work Better than Others., Harvard business review (2017)

Schumpeter, Joseph.,: Theorie der wirtschaftlichen Entwicklung. In: Joseph Alois Schumpeter. Springer, Boston, MA, p. 5-59 (2003)

Christensen, Clayton M.,: The innovator's dilemma: when new technologies cause great firms to fail. Harvard Business Review Press. (2013)

Mikalef, Patrick, et al.,: Big data analytics capabilities: a systematic literature review and research agenda. Information Systems and e Business Management, 16.3: 547-578 (2018)

Akter, Shahriar, et al.,: How to improve firm performance using big data analytics capability and business strategy alignment?. International Journal of Production Economics 182, 113-131 (2016)

Cao, Dingzhou, et al.,: Digital Transformation Strategy Enables Automated Real-Time Torque-and-Drag Modeling. IADC/SPE International Drilling Conference and Exhibition. OnePetro. (2020)

Müller, H. & Freytag, J.,: Problems, Methods and Challenges in Comprehensive Data Cleansing. Technical Report (Humboldt Universitt zu Berlin, Institut ft Informatik Publication No. iroB-lB-164). (2003)

Porter, Michael E, Heppelmann, James E.,: How smart, connected products are transforming competition. Harvard business review, 92.11: 64-88. (2014)

Dremel, Christian, et al.,: How AUDI AG Established Big Data Analytics in Its Digital Transformation. MIS Quarterly Executive, 16.2 (2017)

Mcgrath, Rita, Mcmanus, Ryan.,: Discovery-Driven. Harvard Business Review, 98.3: 124-133. (2020)

Marr, B.,: Walmart: Big Data analytics at the world’s biggest retailer., Bernard Marr & Co., Available: https://www.bernardmarr.com/default.asp?contentID=690 (2018)

D'Onofrio, T.,: The secrets to Walmart's success. The Digital Transformation People., Available: https://www.thedigitaltransformationpeople.com/channels/customer engagement/the-secrets-to-walmarts-success/. (2019).

Shichor, S.,: Walmart’s Retail Link-Point-Of-Sale Data. 18Knowledge, Eighteen Knowledge Group (EKG), March 16, 2017. Available: https://18knowledge.com/blog/walmart-retail-link-talks-to-suppliers through-data/. (2017)

Aaron H.,: Honeywell Creates New Division Based on the Internet of Things" ,May 2nd, 2016. available: https://www.automationworld.com/products/networks/news/13315376 /honeywell-creates-new-division-based-on-the-internet-of-things. (2016)

Dahlander, Linus; Gann, David M.,: How open is innovation?. Research policy, 39.6: 699-709. (2010)

Ries, Eric.,: The lean startup: How today's entrepreneurs use continuous innovation to create radically successful businesses. Currency, (2011)

Davenport, Thomas H.,:Westerman, George. Why so many high profile digital transformations fail. Harvard Business Review, 9: 15. (2018)

Kurokawa, M et al.,: Using digital transformation to thrive in Japan's new normal: An urgent imperative., Available: https://www.mckinsey.com/~/media/McKinsey/Locations/Asia/Japan/ Our%20Work/Digital/Using%20digital%20transformation%20to%20t hrive%20in%20Japans%20new%20normal_an%20urgent%20imperat ive_upd201223.pdf. (2021)

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Published

2023-10-17

How to Cite

1.
Yasuhiro S, Naoshi U. Digital Transformation in the Use of Organizational Assets. j.intell.inform. [Internet]. 2023 Oct. 17 [cited 2024 Dec. 23];8(Oct). Available from: https://ph05.tci-thaijo.org/index.php/JIIST/article/view/86