Search results for "Business practice"
showing 3 items of 3 documents
Co-creation for Digitalization: A Study of Co-creation in Norwegian Business Clusters
2020
Part 2: Fourth Industrial Revolution; International audience; There is a growing emphasis on digitalization in research and business practice. The rapid progress in digital technologies compel firms to innovate and transform their businesses. One way to improve the capacity to innovate and transform is to cooperate with others. However, there is a general lack of research on how co-creation among businesses can facilitate digitalization. This qualitative study explores how co-creation among businesses can stimulate and facilitate digitalization.We have investigated co-creation activities involving companies in business clusters. This paper reports from a study of three business clusters in …
Offshore Assets in the Transition from ‘Traditional Business Practice’ to ‘Connected Business Eco-systems’
2020
In many industrial sectors we have already begun to see how new business ecosystems gradually emerge turning the traditional business practices upside down. Particularly within relatively conventional sectors, such as upstream oil and gas (O&G) and land-based process industry, we expect to see substantial changes in the years to come. In this paper, we elaborate on principal challenges related to major structural changes and core technology platforms for the oil industry identifying critical features and elaborating on emerging operational principles. This is based on a critical review of latest industry conditions and practices that are targeted towards the creation of new business models …
Practices and Infrastructures for Machine Learning Systems : An Interview Study in Finnish Organizations
2022
Using interviews, we investigated the practices and toolchains for machine learning (ML)-enabled systems from 16 organizations across various domains in Finland. We observed some well-established artificial intelligence engineering approaches, but practices and tools are still needed for the testing and monitoring of ML-enabled systems. Peer reviewed