z-logo
open-access-imgOpen Access
Collaborations for Digital Transformation: Case Studies of Industry 4.0 in Brazil
Author(s) -
Clarissa Rocha,
Carlos Quandt,
Fernando Deschamps,
Simon Philbin,
Giovani Cruzara
Publication year - 2021
Publication title -
ieee transactions on engineering management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.702
H-Index - 92
eISSN - 1558-0040
pISSN - 0018-9391
DOI - 10.1109/tem.2021.3061396
Subject(s) - engineering profession
In today's digital age, many managers need to find new ways to manage collaborations where complementary partners co-create digital solutions. Collaborations with partners are at the center of digital projects, but managing these collaborations is challenging. This article objective is to investigate how research and development collaborations with scientific and business partners contribute to digital transformation. This has been achieved through an empirical investigation of three Brazilian manufacturers that are already on their journey toward digitalization. The research design involves multiple case studies and qualitative analysis, through data collection by interviews and questionnaires with participants from the tactical and strategic level followed by content analysis as well as nonparticipant observations. The findings indicate that the companies are at the early stage of building a digital ecosystem. However, they have already secured benefits from pursuing open innovation practices in the form of competitive advantage in operational processes. The results indicate that business success depends more on how (disruptive) technologies are developed and used by engaged people to add value to the enterprise, rather than simply adopting new technologies by themselves. Manufacturers need to act now to reshape their mindset, operational processes, and business models, respectively, enabling the understanding that: 1) organizational ecosystems are becoming more open and collaborative; 2) the value of data capture and analysis can be developed and used for data-driven learning, preventive and predictive capabilities, supporting decision-making; 3) customers' preferences need to be internalized to deliver customized experiences.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom