Evaluating the resource orchestration of evolving disruptive technologies within ecosystem-based business models: evidence from the Indian railways.

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Title: Evaluating the resource orchestration of evolving disruptive technologies within ecosystem-based business models: evidence from the Indian railways.
Authors: Pereira, Vijay1 (AUTHOR) vijay.pereira@neoma-bs.fr, Vaz, Daicy1 (AUTHOR) daicyvaz90@gmail.com, Bamal, Nisha2 (AUTHOR) nishabamel@gmail.com, Bamel, Umesh3 (AUTHOR) umeshbamel@gmail.com, Behl, Abhishek4 (AUTHOR) abhishekbehl27@gmail.com
Source: Journal of Technology Transfer. Jun2026, Vol. 51 Issue 3, p1181-1200. 20p.
Subjects: Indian Railways, Resource management, Disruptive innovations, Fuzzy sets, Value creation, Cooperation, Business ecosystems, Public sector, Railroads
Abstract: Using an in-depth emerging country public sector case study, that of the Indian Railways, this paper contributes to the literature by drawing upon resource orchestration theory to portray how successful ecosystem-based business model utilization and operationalization occur in a context in which disruptive technologies are embraced. We achieved our aim by applying the theoretical lens of resource orchestration during the process of structuring (resources), bundling (capabilities), and leveraging (capabilities). We employed Fuzzy TISM to identify and rank the enablers of value creation by adopting disruptive technologies. Fuzzy-TISM is an extension of fuzzy set theory and is used in developing the hierarchies among various factors in a study. Our findings portray how factors such as collaboration with partners, financial resources, resource structuring, IT infrastructure, managerial knowledge, and resource leveraging enable firms to create value. Our findings on one hand, portray the existing ecosystem-based business models and, on the other hand, reveal and capture—across the abovementioned three levels of analysis—the various challenges and success factors that our case study organization had faced and overcome. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Technology Transfer is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Evaluating the resource orchestration of evolving disruptive technologies within ecosystem-based business models: evidence from the Indian railways.
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  Data: <searchLink fieldCode="AR" term="%22Pereira%2C+Vijay%22">Pereira, Vijay</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> vijay.pereira@neoma-bs.fr</i><br /><searchLink fieldCode="AR" term="%22Vaz%2C+Daicy%22">Vaz, Daicy</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> daicyvaz90@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Bamal%2C+Nisha%22">Bamal, Nisha</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> nishabamel@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Bamel%2C+Umesh%22">Bamel, Umesh</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> umeshbamel@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Behl%2C+Abhishek%22">Behl, Abhishek</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> abhishekbehl27@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Technology+Transfer%22">Journal of Technology Transfer</searchLink>. Jun2026, Vol. 51 Issue 3, p1181-1200. 20p.
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  Data: <searchLink fieldCode="DE" term="%22Indian+Railways%22">Indian Railways</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+management%22">Resource management</searchLink><br /><searchLink fieldCode="DE" term="%22Disruptive+innovations%22">Disruptive innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+sets%22">Fuzzy sets</searchLink><br /><searchLink fieldCode="DE" term="%22Value+creation%22">Value creation</searchLink><br /><searchLink fieldCode="DE" term="%22Cooperation%22">Cooperation</searchLink><br /><searchLink fieldCode="DE" term="%22Business+ecosystems%22">Business ecosystems</searchLink><br /><searchLink fieldCode="DE" term="%22Public+sector%22">Public sector</searchLink><br /><searchLink fieldCode="DE" term="%22Railroads%22">Railroads</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Using an in-depth emerging country public sector case study, that of the Indian Railways, this paper contributes to the literature by drawing upon resource orchestration theory to portray how successful ecosystem-based business model utilization and operationalization occur in a context in which disruptive technologies are embraced. We achieved our aim by applying the theoretical lens of resource orchestration during the process of structuring (resources), bundling (capabilities), and leveraging (capabilities). We employed Fuzzy TISM to identify and rank the enablers of value creation by adopting disruptive technologies. Fuzzy-TISM is an extension of fuzzy set theory and is used in developing the hierarchies among various factors in a study. Our findings portray how factors such as collaboration with partners, financial resources, resource structuring, IT infrastructure, managerial knowledge, and resource leveraging enable firms to create value. Our findings on one hand, portray the existing ecosystem-based business models and, on the other hand, reveal and capture—across the abovementioned three levels of analysis—the various challenges and success factors that our case study organization had faced and overcome. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Journal of Technology Transfer is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10961-024-10124-3
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 1181
    Subjects:
      – SubjectFull: Indian Railways
        Type: general
      – SubjectFull: Resource management
        Type: general
      – SubjectFull: Disruptive innovations
        Type: general
      – SubjectFull: Fuzzy sets
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      – SubjectFull: Value creation
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      – SubjectFull: Cooperation
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      – SubjectFull: Business ecosystems
        Type: general
      – SubjectFull: Public sector
        Type: general
      – SubjectFull: Railroads
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      – TitleFull: Evaluating the resource orchestration of evolving disruptive technologies within ecosystem-based business models: evidence from the Indian railways.
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            NameFull: Pereira, Vijay
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            NameFull: Vaz, Daicy
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            NameFull: Bamal, Nisha
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              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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