Revisiting operations agility and formalizing digitalization in response to varying levels of uncertainty and customization
Article
Saghiri, S., Mohammadipour, M. and Mirzabeiki, V. 2024. Revisiting operations agility and formalizing digitalization in response to varying levels of uncertainty and customization. Production Planning and Control. https://doi.org/10.1080/09537287.2024.2321290
Type | Article |
---|---|
Title | Revisiting operations agility and formalizing digitalization in response to varying levels of uncertainty and customization |
Authors | Saghiri, S., Mohammadipour, M. and Mirzabeiki, V. |
Abstract | This paper aims to find how digitalization supports inter-organizational purchasing/order fulfillment processes and the required agility to respond to supply/demand uncertainties. The research method includes multiple case studies. Qualitative data are collected via interviews and documentation review. Within-case and cross-case analyses of the research lead to 14 propositions and a novel framework, which formalize and link agility and digitalization at different levels. The research findings point out the agility in micro and macro types for the demand and supply sides of the business, responding to different levels of uncertainties. The findings categorize the relevant applications of digitalization at three levels: data interchange, data integration, and predictive data analytics. Moreover, the agility-digitalization relationships are defined for different levels of customization, represented by customer order decoupling points. This paper contributes to the literature by offering an in-depth and explicit understanding of the impacts of digitalization on different types of agility for different levels of customization. |
Keywords | Agility; digitalization; uncertainty; customization; customer order decoupling point; big data analytics |
Sustainable Development Goals | 12 Responsible consumption and production |
Middlesex University Theme | Sustainability |
Publisher | Taylor & Francis (Routledge) |
Journal | Production Planning and Control |
ISSN | 0953-7287 |
Electronic | 1366-5871 |
Publication dates | |
Online | 27 Feb 2024 |
Publication process dates | |
Submitted | 04 Aug 2022 |
Accepted | 06 Feb 2024 |
Deposited | 06 Mar 2024 |
Output status | Published |
Publisher's version | License File Access Level Open |
Digital Object Identifier (DOI) | https://doi.org/10.1080/09537287.2024.2321290 |
Language | English |
https://repository.mdx.ac.uk/item/105x5y
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