The Effect of People Agility, Organization Agility Support, Agility Process, and Working Experience to Enhance Perceived Successfulness of Agile Execution on Digital Transformation (Case Study: Astra Group of Heavy Equipment Mining, Construction & Energy)

Shiva Rachma Permatasary () and Fiter Abadi
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Shiva Rachma Permatasary: Swiss German University
Fiter Abadi: Swiss German University

A chapter in Proceedings of the 5th International Conference on Global Innovation and Trends in Economy 2024 (INCOGITE 2024), 2024, pp 947-962 from Springer

Abstract: Abstract Digital technology has become a part of customers’ lives, causing significant disruptions across several sectors. These technologies enable enterprises to gain a growing variety of competitive advantages (Tsiavos and Kitsios, 2022). Only those firms that are flexible to digital trends will endure and thrive in this new competitive milieu (Ismail et al., 2018; Schwartz, 2001). This is also experienced for Astra Heavy Equipment company, where IT and Digital Transformation (DT) greatly influence operational effectiveness and efficiency in mines, where the HE industry requires high agility to adapt to rapidly changing global demand. This research measures the variables of People Agility, Organization Agility Support, and Agility Process. This is to understand the perceived successfulness of agile execution in Digital Transformation, and the moderating role of working experience variables which can reinforce the relationship between People Agility, Organization Agility Support, and Agility Process, and to assess the perceived success of agile execution. The methodology used by researchers is quantitative research on team members of the Astra Heavy Equipment Company digitalization project. The finding is that all variables have a strong relationship and work experience can moderate the relations with the except an OAS which cannot be intervened by work experience.

Keywords: Agile Methodology; Organization Agility; People Agility; Agility Process; Project Management; Digital Transformation (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-585-0_64

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