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Discovering digital business models in traditional industries
The Journal of business strategy, 2017-03, Vol.38 (2), p.41-51
[Peer Reviewed Journal]
Emerald Publishing Limited ;Emerald Publishing Limited 2017 ;ISSN: 0275-6668 ;EISSN: 2052-1197 ;DOI: 10.1108/JBS-10-2016-0127
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Title:
Discovering digital business models in traditional industries
Author:
Remane, Gerrit
;
Hanelt, Andre
;
Nickerson, Robert C
;
Kolbe, Lutz M
Subjects:
Analysis
;
Behavior
;
Business
;
Business models
;
Company business management
;
Customer services
;
Decomposition
;
Ecosystems
;
Innovations
;
Managers
;
Mobile commerce
;
Online businesses
;
Organizational behavior
;
Public transportation
;
Smartphones
;
Strategic planning (Business)
;
Target markets
;
Taxonomy
;
Transportation services
Is Part Of:
The Journal of business strategy, 2017-03, Vol.38 (2), p.41-51
Description:
Purpose The purpose of this paper is to provide managers from traditional industries with a blueprint to systematically analyze and discover digital business models and, thus, better cope with the digital transformation of their industrial businesses. Design/methodology/approach The proposed blueprint is built on state-of-the-art research on digital business model innovation and a rigorous taxonomy-building approach. The process is demonstrated through a simplified case study of a passenger transport company. Findings The process involves three steps: identifying existing products and services, deconstructing business models and discovering new configurations. The managers from the case company very positively evaluated the efficiency and effectiveness of the proposed procedure. Originality/value The proven methodology relates the generic components of digital business models to a specific firm’s context, listing the solution space for each relevant dimension. The resulting framework aids in better understanding the existing business models and serves as a tool for the systematic discovery of new models.
Publisher:
Boston: Emerald Publishing Limited
Language:
English
Identifier:
ISSN: 0275-6668
EISSN: 2052-1197
DOI: 10.1108/JBS-10-2016-0127
Source:
ProQuest Central
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