Designing business model taxonomies–synthesis and guidance from information systems research
Classification is an essential approach in business model research. Empirical
classifications, termed taxonomies, are widespread in and beyond Information Systems (IS) …
classifications, termed taxonomies, are widespread in and beyond Information Systems (IS) …
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 …
making DDBMs work is challenging, and DDBMs often fall short of expected value …
The Data Product Canvas-A Visual Collaborative Tool for Designing Data-Driven Business Models
M Fruhwirth, G Breitfuss, V Pammer-Schindler - 2020 - aisel.aisnet.org
The availability of data sources and advances in analytics and artificial intelligence offers the
opportunity for organizations to develop new data-driven products, services and business …
opportunity for organizations to develop new data-driven products, services and business …
How Do Professionals in SMEs Engage With AI and Regulation? An Interview Study in Austria
As Artificial Intelligence (AI) technology is becoming more widespread, small to medium
sized enterprises (SMEs) are beginning to use it extensively. This paper presents the results …
sized enterprises (SMEs) are beginning to use it extensively. This paper presents the results …
Show me the Money: How to monetize data in data-driven business models?
Increasing digitization and the associated tremendous usage of technology have led to data
of unprecedented quantity, variety, and speed, which is generated, processed, and required …
of unprecedented quantity, variety, and speed, which is generated, processed, and required …
To sell or not to sell: Knowledge risks in data-driven business models
M Fruhwirth, V Pammer-Schindler, S Thalmann - 2019 - aisel.aisnet.org
To Sell or Not to Sell: Knowledge Risks in Data-Driven Business Models Page 1
Association for Information Systems AIS Electronic Library (AISeL) Proceedings of the 2019 …
Association for Information Systems AIS Electronic Library (AISeL) Proceedings of the 2019 …
[HTML][HTML] Development of a Job Advertisement Analysis for Assessing Data Science Competencies
J Vogt, T Voigt, A Nowak… - Data Science …, 2023 - datascience.codata.org
Data science competencies receive rising attention. How can competency profiles be built
for data scientists? This question is encountered by synthesizing various competency …
for data scientists? This question is encountered by synthesizing various competency …
[PDF][PDF] What about Data-Driven Business Models? Map** the Literature and Sco** Future Avenues
MV Ciasullo, R Montera, E Romeo - Int. J. Bus. Manag, 2021 - academia.edu
The paper aims to perform an assessment of the literature at the intersection of data and
business models, examining the extent to which the data-driven business model (DDBM) is …
business models, examining the extent to which the data-driven business model (DDBM) is …
The Data Value Chain Ontology
D Bendlin, JM Gómez, H Kaddoura, A Kucewicz… - … Methodologies for Big …, 2023 - Springer
When it comes to decision-making, companies are often unaware how valuable data is. As a
result, data is underutilized. Before data can be used for data-driven decision-making …
result, data is underutilized. Before data can be used for data-driven decision-making …
The Role of Machine Learning in Big Data Analytics: Current Practices and Challenges
A massive amount of data is generated at an ever-increasing rate. Social media, mobile
phones, sensors, and medical imaging, among others, are examples of data sources. An …
phones, sensors, and medical imaging, among others, are examples of data sources. An …