The Future of Analog–Digital Transformation

Young Won Park () and Hiroki Kikuchi
Additional contact information
Young Won Park: Saitama University, Graduate School of Humanities & Social Sciences
Hiroki Kikuchi: Saitama University, Graduate School of Humanities & Social Sciences

Chapter 18 in Analog–Digital Transformation Strategy, 2026, pp 407-415 from Springer

Abstract: Abstract This chapter concludes the book by synthesizing the theoretical and empirical insights developed throughout the study and by outlining the future trajectory of Analog–Digital Transformation (ADX). While digital transformation has often been framed as a technology-driven process centered on artificial intelligence, data analytics, and digital platforms, this chapter argues that sustainable transformation depends on the integration of digital technologies with analog organizational capabilities. Drawing on the cases and frameworks presented in earlier chapters, the chapter demonstrates that successful transformation emerges when digital infrastructures amplify existing strengths in engineering expertise, operational routines, and collaborative problem-solving. The ADX framework therefore reconceptualizes digital transformation as a capability development process rather than a simple technology adoption strategy. Looking forward, the chapter discusses how emerging technologies such as AI, digital ecosystems, and intelligent manufacturing systems will reshape industrial strategy. It concludes that the future competitiveness of manufacturing firms will depend on their ability to design organizations where human expertise and digital intelligence evolve together.

Keywords: Analog–digital co-evolution; Intelligent manufacturing; Digital ecosystems; Organizational capability; Future strategy (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-92-0937-8_18

Ordering information: This item can be ordered from
http://www.springer.com/9789819209378

DOI: 10.1007/978-981-92-0937-8_18

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().