Towards a method for design principle development in information systems

F Möller, TM Guggenberger, B Otto - Designing for Digital Transformation …, 2020 - Springer
A central goal of doing research is to make findings available to the academic and
practitioner community in order to extend the current knowledge base. The notion of how to …

Digitalizing business models in hospitality ecosystems: toward data-driven innovation

O Troisi, A Visvizi, M Grimaldi - European Journal of Innovation …, 2023 - emerald.com
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 …

A systematic literature review of machine learning canvases

LW Thiée - 2021 - dl.gi.de
The use of machine learning technology is still significantly lower in small and medium sized
enterprises than in large enterprises. It seems that there are specific challenges in the …

Beyond the hype: why do data-driven projects fail?

T Ermakova, J Blume, B Fabian, E Fomenko… - 2021 - scholarspace.manoa.hawaii.edu
Despite substantial investments, data science has failed to deliver significant business value
in many companies. So far, the reasons for this problem have not been explored …

An Exploratory Analysis of the Current Status and Potential of Service-Oriented and Data-Driven Business Models within the Sheet Metal Working Sector: Insights from …

J Wirth, M Schneider, L Hanselmann, K Fink… - Sustainability, 2024 - mdpi.com
Responding to changing value creation processes in the sheet metal working sector, where
the complexity and interchangeability of products challenge traditional differentiation …

An investigation of antecedents for data governance adoption in the rail industry—Findings from a case study at Thales

D Lis, M Arbter, M Spindler… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The role of data governance is experiencing a paradigm shift as organizations increasingly
incorporate data governance to encourage the strategic utilization of data and, therefore …

Modeling business models: a cross-disciplinary analysis of business model modeling languages and directions for future research

D Szopinski, L Massa, T John, D Kundisch… - Communications of the …, 2022 - vbn.aau.dk
Modeling languages for business models are a powerful and flexible means of representing
and communicating knowledge related to business models. More than fifteen years after …

[PDF][PDF] Realization of Data-Driven Business Models in Incumbent Companies: An Exploratory Study Based on the Resource-Based View.

HE Lange, P Drews, M Höft - ICIS, 2021 - researchgate.net
The generation of value from data is a key issue for many incumbent companies in our
modern economy. While they are stuck in traditional business environments, they seek to …

[HTML][HTML] Organizing for value creation in blockchain information systems

L Zavolokina, I Bauer-Hänsel, J Hacker… - Information and …, 2024 - Elsevier
Many blockchain consortia have been established to build blockchain information systems.
While the developed blockchain information systems were promising, few have reached …

Employee perspectives on value realization from data within data-driven business models

M Förster, B Bansemir, A Roth - Electronic Markets, 2022 - Springer
Firms are innovating data-driven business models (DDBMs) to realize value from data. Yet,
making DDBMs work is challenging, and DDBMs often fall short of expected value …