| Title |
Business Model Innovation for Sustainability |
| ID_Doc |
78227 |
| Authors |
Girotra, K; Netessine, S |
| Title |
Business Model Innovation for Sustainability |
| Year |
2013 |
| Published |
M&Som-Manufacturing & Service Operations Management, 15, 4 |
| DOI |
10.1287/msom.2013.0451 |
| Abstract |
A systematic approach to innovating business models can help identify new business models that encourage sustainable use of products and services, or facilitate wider adoption of new environmentally friendly technologies. This paper provides a brief summary of a conceptual framework that we have developed to systematize the study and identification of new business models. Our approach advocates that the key to identifying new business models is understanding the context of decision making in existing models and the associated inefficiencies. We propose a three-step approach: First, existing business models must be audited for identifying information and incentive misalignment inefficiencies that destroy value. Next, new business models can be identified by changing the context of the decision associated with the most consequential of these inefficiencies. We conjecture that four elements of the decision context are most significant: WHAT decisions are made, WHEN they are made, WHO makes them, and WHY they are made. We provide a set of idea triggers to stimulate brainstorming of new business models by changing one of these four Ws. Finally, we advise that generated business models should be analyzed and experimented with to identify the most promising ones. We close the paper by describing the design of a pedagogical program based on this framework. |
| Author Keywords |
business models; sustainability; innovation; entrepreneurship; business model innovation; risk |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000325647400003 |
| WoS Category |
Management; Operations Research & Management Science |
| Research Area |
Business & Economics; Operations Research & Management Science |
| PDF |
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