Developing DX Human Capital in Manufacturing
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 17 in Analog–Digital Transformation Strategy, 2026, pp 389-406 from Springer
Abstract:
Abstract This chapter examines how manufacturing firms develop human capital capable of integrating digital technologies with operational expertise. While digital technologies such as IoT, AI, and cloud platforms are increasingly available, firms experience widely different outcomes because transformation success depends on workforce capability rather than technology alone. Through comparative case analysis of firms in process industries and equipment assembly sectors, the chapter shows how organizations cultivate hybrid expertise that combines digital literacy with deep domain knowledge. Process industries emphasize interpretation of sensor data within continuous production environments, while equipment manufacturing requires integration between engineering design, production systems, and digital tools. Across both contexts, firms establish cross-functional learning programs, project-based experimentation, and new hybrid roles that translate between digital analytics and physical operations. The analysis demonstrates that digital transformation is fundamentally a human-centered process in which organizational intelligence emerges through interaction between employees and digital systems. DX human capital thus becomes the central mechanism linking technological infrastructure with operational performance.
Keywords: DX human capital; Hybrid skills; Digital literacy; Organizational learning; Capability development (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_17
Ordering information: This item can be ordered from
http://www.springer.com/9789819209378
DOI: 10.1007/978-981-92-0937-8_17
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 ().