Pathways of Data-driven Business Model Design and Realization: A Qualitative Research Study

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

Standard

Pathways of Data-driven Business Model Design and Realization: A Qualitative Research Study . / Rashed, Faisal; Drews, Paul.
Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021. ed. / Tung X. Bui. Honolulu: University of Hawaiʻi at Mānoa, 2021. p. 5676-5685 (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 2020-January).

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

Harvard

Rashed, F & Drews, P 2021, Pathways of Data-driven Business Model Design and Realization: A Qualitative Research Study . in TX Bui (ed.), Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021. Proceedings of the Annual Hawaii International Conference on System Sciences, vol. 2020-January, University of Hawaiʻi at Mānoa, Honolulu, pp. 5676-5685, 54th Hawaii International Conference on System Sciences - HICSS 2021, Honolulu, United States, 04.01.21. https://doi.org/10.24251/HICSS.2021.689

APA

Rashed, F., & Drews, P. (2021). Pathways of Data-driven Business Model Design and Realization: A Qualitative Research Study . In T. X. Bui (Ed.), Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021 (pp. 5676-5685). (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 2020-January). University of Hawaiʻi at Mānoa. https://doi.org/10.24251/HICSS.2021.689

Vancouver

Rashed F, Drews P. Pathways of Data-driven Business Model Design and Realization: A Qualitative Research Study . In Bui TX, editor, Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021. Honolulu: University of Hawaiʻi at Mānoa. 2021. p. 5676-5685. (Proceedings of the Annual Hawaii International Conference on System Sciences). doi: 10.24251/HICSS.2021.689

Bibtex

@inbook{eb26fabcf5a449838d9af9c4a874bf96,
title = "Pathways of Data-driven Business Model Design and Realization: A Qualitative Research Study ",
abstract = "Maximizing the value from data has become a key challenge for companies as it helps improve operations and decision making, enhances products and services, and ultimately, leads to new business models (BMs). Aiming to achieve the latter, companies take different pathways. Building on a grounded theory research approach, we identified four pathways for designing and realizing data-driven business models (DDBMs). To achieve this goal, we conducted 16 semi-structured interviews with experts from consulting and industry firms. The results fill the gap in the literature on the design and realization of DDBMs and act as a guide for companies.",
keywords = "Business informatics, Business Intelligence, business analytics and big data, innovation, deployment, management business model",
author = "Faisal Rashed and Paul Drews",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE Computer Society. All rights reserved.; 54th Hawaii International Conference on System Sciences - HICSS 2021, HICSS 2021 ; Conference date: 04-01-2021 Through 08-01-2021",
year = "2021",
doi = "10.24251/HICSS.2021.689",
language = "English",
isbn = "978-0-9981331-4-0",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
publisher = "University of Hawaiʻi at Mānoa",
pages = "5676--5685",
editor = "Bui, {Tung X.}",
booktitle = "Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021",
address = "United States",
url = "https://www.insna.org/events/54th-hawaii-international-conference-on-system-sciences-hicss, https://scholarspace.manoa.hawaii.edu/communities/8db05028-a838-4e0f-911b-4ea544253c64",

}

RIS

TY - CHAP

T1 - Pathways of Data-driven Business Model Design and Realization

T2 - 54th Hawaii International Conference on System Sciences - HICSS 2021

AU - Rashed, Faisal

AU - Drews, Paul

N1 - Conference code: 54

PY - 2021

Y1 - 2021

N2 - Maximizing the value from data has become a key challenge for companies as it helps improve operations and decision making, enhances products and services, and ultimately, leads to new business models (BMs). Aiming to achieve the latter, companies take different pathways. Building on a grounded theory research approach, we identified four pathways for designing and realizing data-driven business models (DDBMs). To achieve this goal, we conducted 16 semi-structured interviews with experts from consulting and industry firms. The results fill the gap in the literature on the design and realization of DDBMs and act as a guide for companies.

AB - Maximizing the value from data has become a key challenge for companies as it helps improve operations and decision making, enhances products and services, and ultimately, leads to new business models (BMs). Aiming to achieve the latter, companies take different pathways. Building on a grounded theory research approach, we identified four pathways for designing and realizing data-driven business models (DDBMs). To achieve this goal, we conducted 16 semi-structured interviews with experts from consulting and industry firms. The results fill the gap in the literature on the design and realization of DDBMs and act as a guide for companies.

KW - Business informatics

KW - Business Intelligence

KW - business analytics and big data

KW - innovation

KW - deployment

KW - management business model

UR - http://www.scopus.com/inward/record.url?scp=85108329847&partnerID=8YFLogxK

UR - https://hdl.handle.net/10125/70871

UR - https://www.mendeley.com/catalogue/b2a391e2-a1e1-3cef-b5ff-0bb58cfd4ea4/

U2 - 10.24251/HICSS.2021.689

DO - 10.24251/HICSS.2021.689

M3 - Article in conference proceedings

SN - 978-0-9981331-4-0

T3 - Proceedings of the Annual Hawaii International Conference on System Sciences

SP - 5676

EP - 5685

BT - Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021

A2 - Bui, Tung X.

PB - University of Hawaiʻi at Mānoa

CY - Honolulu

Y2 - 4 January 2021 through 8 January 2021

ER -

Links

DOI