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

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Realization of Data-Driven Business Models in Incumbent Companies : An Exploratory Study Based on the Resource-Based View. / Lange, Hergen Eilert; Drews, Paul; Höft, Markus.

ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. Association for Information Systems, 2021. 1410.

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Lange, HE, Drews, P & Höft, M 2021, Realization of Data-Driven Business Models in Incumbent Companies: An Exploratory Study Based on the Resource-Based View. in ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action., 1410, Association for Information Systems, International Conference on Information Systems - ICIS 2021 , Austin, United States, 12.12.21. <https://aisel.aisnet.org/icis2021/dig_innov/dig_innov/2/>

APA

Lange, H. E., Drews, P., & Höft, M. (2021). Realization of Data-Driven Business Models in Incumbent Companies: An Exploratory Study Based on the Resource-Based View. In ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action [1410] Association for Information Systems. https://aisel.aisnet.org/icis2021/dig_innov/dig_innov/2/

Vancouver

Lange HE, Drews P, Höft M. Realization of Data-Driven Business Models in Incumbent Companies: An Exploratory Study Based on the Resource-Based View. In ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. Association for Information Systems. 2021. 1410

Bibtex

@inbook{c1ebd0eae45b4425ac3352ca8450137f,
title = "Realization of Data-Driven Business Models in Incumbent Companies: An Exploratory Study Based on the Resource-Based View",
abstract = "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 develop and realize data-driven business models (DDBMs). Previous research aimed at analyzing and supporting the DDBM ideation process. In this study, we focus on developing an improved understanding of the process of realizing DDBMs and required capabilities and resources. It is grounded on interviews with 19 experts from multiple industries. By leveraging the resource-based (RBV) view as a theoretical lens, we analyzed 45 DDBM realization cases. We identified four execution periods, four capabilities, and 25 resources to characterize the process of DDBM realization. The results contribute to the field of DDBM research by theorizing the process of DDBM realization with a focus on challenges and enablers of resource utilization.",
keywords = "Informatics, Business informatics",
author = "Lange, {Hergen Eilert} and Paul Drews and Markus H{\"o}ft",
note = "Track: Digital innovation, entrepreneurship, and new business models, Beitrag 2; International Conference on Information Systems - ICIS 2021 : Building Sustainability and Resilience with IS: A Call for Action, ICIS 2021 ; Conference date: 12-12-2021 Through 15-12-2021",
year = "2021",
language = "English",
booktitle = "ICIS 2021 Proceedings",
publisher = "Association for Information Systems",
address = "United States",
url = "https://icis2021.aisconferences.org/",

}

RIS

TY - CHAP

T1 - Realization of Data-Driven Business Models in Incumbent Companies

T2 - International Conference on Information Systems - ICIS 2021

AU - Lange, Hergen Eilert

AU - Drews, Paul

AU - Höft, Markus

N1 - Track: Digital innovation, entrepreneurship, and new business models, Beitrag 2

PY - 2021

Y1 - 2021

N2 - 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 develop and realize data-driven business models (DDBMs). Previous research aimed at analyzing and supporting the DDBM ideation process. In this study, we focus on developing an improved understanding of the process of realizing DDBMs and required capabilities and resources. It is grounded on interviews with 19 experts from multiple industries. By leveraging the resource-based (RBV) view as a theoretical lens, we analyzed 45 DDBM realization cases. We identified four execution periods, four capabilities, and 25 resources to characterize the process of DDBM realization. The results contribute to the field of DDBM research by theorizing the process of DDBM realization with a focus on challenges and enablers of resource utilization.

AB - 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 develop and realize data-driven business models (DDBMs). Previous research aimed at analyzing and supporting the DDBM ideation process. In this study, we focus on developing an improved understanding of the process of realizing DDBMs and required capabilities and resources. It is grounded on interviews with 19 experts from multiple industries. By leveraging the resource-based (RBV) view as a theoretical lens, we analyzed 45 DDBM realization cases. We identified four execution periods, four capabilities, and 25 resources to characterize the process of DDBM realization. The results contribute to the field of DDBM research by theorizing the process of DDBM realization with a focus on challenges and enablers of resource utilization.

KW - Informatics

KW - Business informatics

M3 - Article in conference proceedings

BT - ICIS 2021 Proceedings

PB - Association for Information Systems

Y2 - 12 December 2021 through 15 December 2021

ER -