Big-data business models: A critical literature review and multiperspective research framework
M Wiener, C Saunders… - Journal of Information …, 2020 - journals.sagepub.com
The emergence of “big data” offers organizations unprecedented opportunities to gain and
maintain competitive advantage. Trying to exploit the strategic business potential embedded …
maintain competitive advantage. Trying to exploit the strategic business potential embedded …
Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation
Abstract Big Data Analytics Capabilities (BDAC) represent critical tools for business
competitiveness in highly dynamic markets. In this connection, by leveraging on the …
competitiveness in highly dynamic markets. In this connection, by leveraging on the …
Big data analytics capability and market performance: The roles of disruptive business models and competitive intensity
Research shows that big data analytics capability (BDAC) is a major determinant of firm
performance. However, scant research has theoretically articulated and empirically tested …
performance. However, scant research has theoretically articulated and empirically tested …
The lifecycle of algorithmic decision-making systems: Organizational choices and ethical challenges
M Marabelli, S Newell, V Handunge - The Journal of Strategic Information …, 2021 - Elsevier
In this viewpoint article we discuss algorithmic decision-making systems (ADMS), which we
view as organizational sociotechnical systems with their use in practice having …
view as organizational sociotechnical systems with their use in practice having …
[PDF][PDF] Challenges in the Deployment and Operation of Machine Learning in Practice.
L Baier, F Jöhren, S Seebacher - ECIS, 2019 - researchgate.net
Abstract Machine learning has recently emerged as a powerful technique to increase
operational efficiency or to develop new value propositions. However, the translation of a …
operational efficiency or to develop new value propositions. However, the translation of a …
Digitalizing business models in hospitality ecosystems: toward data-driven innovation
Purpose Digitalization accelerates the need of tourism and hospitality ecosystems to reframe
business models in line with a data-driven orientation that can foster value creation and …
business models in line with a data-driven orientation that can foster value creation and …
Supporting digital transformation in small and medium-sized enterprises: a procedure model involving publicly funded support units
Digital Transformation (DT) considers the continuous digitalization process of a company,
which uses digital and data-driven innovation to improve existing processes, change distinct …
which uses digital and data-driven innovation to improve existing processes, change distinct …
[PDF][PDF] Requirements for representing data-driven business models-towards extending the business model canvas
Business modeling has become an essential tool in practice for analyzing and generating
business models. In recent years, digital innovation with data-driven services gained an …
business models. In recent years, digital innovation with data-driven services gained an …
[HTML][HTML] Conceptualising value creation in data-driven services: The case of vehicle data
The creation of data-driven services generates new value streams, leading to the
emergence of new actors and ultimately to new market configurations. In the automotive …
emergence of new actors and ultimately to new market configurations. In the automotive …
Capturing value from data: Revenue models for data-driven services
R Schüritz, S Seebacher, R Dorner - 2017 - scholarspace.manoa.hawaii.edu
Undisputedly, the amount of data is growing exponentially and huge opportunities exist to
exploit them. New service business models are being built around value propositions based …
exploit them. New service business models are being built around value propositions based …