“Ideation is Fine, but Execution is Key”: How Incumbent Companies Realize Data-Driven Business Models
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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“Ideation is Fine, but Execution is Key” : How Incumbent Companies Realize Data-Driven Business Models. / Lange, Hergen Eilert; Drews, Paul; Höft, Markus.
Proceedings - 2021 IEEE 23rd Conference on Business Informatics, CBI 2021 - Main Papers: CBI 2021, Virtual Conference 1-3 September 2021, Proceedings . ed. / João Paulo A. Almeida; Giancarlo Guizzardi ; Marco Montali ; Henderik A. Proper . Vol. 1 Los Alamitos : IEEE - Institute of Electrical and Electronics Engineers Inc., 2021. p. 191-200 ( IEEE ... Conference on Business Informatics; Vol. 23, No. 1).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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RIS
TY - CHAP
T1 - “Ideation is Fine, but Execution is Key”
AU - Lange, Hergen Eilert
AU - Drews, Paul
AU - Höft, Markus
N1 - Conference code: 23
PY - 2021
Y1 - 2021
N2 - Realizing innovative ways of data usage and monetization are considered to be important for companies in many industries today. Hence, companies are developing multiple approaches for developing and realizing data-driven business models (DDBM). Current research provides the first methods to support the design of DDBM. However, empirically grounded knowledge on how incumbent companies realize DDBM is scarce. To close this gap, we interviewed experts from multiple industries to learn from their experiences. Based on 45 cases, we developed four DDBM realization case types. Grounded on the case analysis, we identified four execution periods that companies pass through during DDBM realization. Finally, we compared the findings from this study to a DDBM realization process, which was developed based on the synthesis of literature. The results contribute to a better understanding of DDBM realization by drawing on a rich set of cases.
AB - Realizing innovative ways of data usage and monetization are considered to be important for companies in many industries today. Hence, companies are developing multiple approaches for developing and realizing data-driven business models (DDBM). Current research provides the first methods to support the design of DDBM. However, empirically grounded knowledge on how incumbent companies realize DDBM is scarce. To close this gap, we interviewed experts from multiple industries to learn from their experiences. Based on 45 cases, we developed four DDBM realization case types. Grounded on the case analysis, we identified four execution periods that companies pass through during DDBM realization. Finally, we compared the findings from this study to a DDBM realization process, which was developed based on the synthesis of literature. The results contribute to a better understanding of DDBM realization by drawing on a rich set of cases.
KW - Business informatics
KW - Industries
KW - conferences
KW - companies
KW - informatics
KW - business
KW - Data-driven
KW - business models
KW - Realization
KW - cases
UR - http://www.scopus.com/inward/record.url?scp=85123627593&partnerID=8YFLogxK
U2 - 10.1109/CBI52690.2021.00030
DO - 10.1109/CBI52690.2021.00030
M3 - Article in conference proceedings
SN - 978-1-6654-2070-9
VL - 1
T3 - IEEE ... Conference on Business Informatics
SP - 191
EP - 200
BT - Proceedings - 2021 IEEE 23rd Conference on Business Informatics, CBI 2021 - Main Papers
A2 - Almeida, João Paulo A.
A2 - Guizzardi , Giancarlo
A2 - Montali , Marco
A2 - Proper , Henderik A.
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
CY - Los Alamitos
Y2 - 1 September 2021 through 3 September 2021
ER -