[HTML][HTML] From technological development to social advance: A review of Industry 4.0 through machine learning
Industry 4.0 has attracted considerable interest from firms, governments, and individuals as
the new concept of future computer, industrial, and social systems. However, the concept …
the new concept of future computer, industrial, and social systems. However, the concept …
Fintech: research directions to explore the digital transformation of financial service systems
Purpose The purpose of this paper is to delineate a research agenda to guide future service
research investigating the digital transformation of financial service systems through Fintech …
research investigating the digital transformation of financial service systems through Fintech …
Big data driven supply chain design and applications for blockchain: An action research using case study approach
B Sundarakani, A Ajaykumar, A Gunasekaran - Omega, 2021 - Elsevier
Blockchain appears to still be nascent in its growth and a relatively untapped asset. This
research investigates the need of blockchain in Industry 4.0 environment from Big Data …
research investigates the need of blockchain in Industry 4.0 environment from Big Data …
[HTML][HTML] Smart cities with big data: Reference models, challenges, and considerations
Cities worldwide are attempting to transform themselves into smart cities. Recent cases and
studies show that a key factor in this transformation is the use of urban big data from …
studies show that a key factor in this transformation is the use of urban big data from …
[HTML][HTML] From data to value: A nine-factor framework for data-based value creation in information-intensive services
Abstract Service is a key context for the application of IT, as IT digitizes information
interactions in service and facilitates value creation, thereby contributing to service …
interactions in service and facilitates value creation, thereby contributing to service …
Building dynamic service analytics capabilities for the digital marketplace
Abstract Service firms are now interacting with customers through a multitude of channels or
touchpoints. This progression into the digital realm is leading to an explosion of data, and …
touchpoints. This progression into the digital realm is leading to an explosion of data, and …
[HTML][HTML] From technology enablers to circular economy: Data-driven understanding of the overview of servitization and product–service systems in Industry 4.0
Product-based companies worldwide attempt to integrate services into their offerings,
embarking on “servitization” as a key strategy. These days, the acceleration of technological …
embarking on “servitization” as a key strategy. These days, the acceleration of technological …
Data-driven understanding of smart service systems through text mining
Smart service systems are everywhere, in homes and in the transportation, energy, and
healthcare sectors. However, such systems have yet to be fully understood in the literature …
healthcare sectors. However, such systems have yet to be fully understood in the literature …
[HTML][HTML] Success Management–From theory to practice
J Varajão, L Magalhães, L Freitas, P Rocha - International Journal of …, 2022 - Elsevier
Success Management focuses on defining, leveraging, and securing the success of
endeavors at maximum levels by gaining a comprehensive awareness of what is valued by …
endeavors at maximum levels by gaining a comprehensive awareness of what is valued by …
Accountable algorithms? The ethical implications of data-driven business models
CF Breidbach, P Maglio - Journal of Service Management, 2020 - emerald.com
Purpose The purpose of this study is to identify, analyze and explain the ethical implications
that can result from the datafication of service. Design/methodology/approach This study …
that can result from the datafication of service. Design/methodology/approach This study …