@misc{10481/94442,
year = {2024},
url = {https://hdl.handle.net/10481/94442},
abstract = {Understanding successful pathways for manufacturers to capture value within the service ecosystem framework is a recent and still nascent area of research that requires further investigation and growth. Within industrial settings, artificial intelligence (AI) constitutes an enabling technology that can be integrated across a network of products and systems, driving the transformation of these service ecosystems. From this perspective, this study proposes that the symbiotic convergence between AI-enabled smart manufacturing, which facilitates process and product enhancements, and servitization, which enables product availability and customization, contributes to a higher level of ecosystem value capture. To address this issue, a research model employing Smart Partial Least Squares was developed to examine the interplay between these constructs. By using survey data from a purposively selected sample of servitized manufacturing firms, the findings reveal the synergistic effects of integrating AI-enabled smart manufacturing and servitization. Furthermore, the results indicate variances across industrial sectors, and highlight that in digitally-intensive industries, service business models have undergone more substantial transformations, fostering accelerated ecosystem development streamlined by customization. Conversely, in digitally-augmented industries, where inputs are digital but products are predominantly analog, digital capabilities are primarily confined to production processes.},
organization = {Consejería de Universidad, Investigación e Innovación C-SEJ-020-UGR23},
organization = {ERDF Andalusia Program 2021–2027},
organization = {Spanish State Research Agency (SRA)},
organization = {Ministry of Science and Innovation (REF. PID2022-136235NB-I00)},
organization = {Universidad de Granada/CBUA},
publisher = {Elsevier},
keywords = {AI-enabled smart manufacturing},
keywords = {Servitization},
keywords = {Ecosystem},
keywords = {Value capture},
title = {AI-enabled smart manufacturing boosts ecosystem value capture: The importance of servitization pathways within digital-intensive industries},
doi = {10.1016/j.ijpe.2024.109411},
author = {Bustinza Sánchez, Óscar Fernando and Molina Fernández, Luis Miguel and Vendrell-Herrero, Ferran and Opazo-Basaez, Marco},
}