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Untangling the Relationship Between Technology Portfolio Reconfiguration and Firm Performance: Detrimental or Beneficial?

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Title: Untangling the Relationship Between Technology Portfolio Reconfiguration and Firm Performance: Detrimental or Beneficial?
Authors: Lin, Ya‐Hui1 (AUTHOR) yhvica@ntut.edu.tw, Liu, Ping‐Yu2 (AUTHOR)
Source: R&D Management. Nov2025, Vol. 55 Issue 5, p1431-1443. 13p.
Subjects: Organizational performance, Dynamic capabilities, Information & communication technologies, Technology management, Corporate reorganizations, Organizational change
Abstract: Using dynamic capabilities theory, this study investigates how the reconfiguration of a firm's technology portfolio influences its performance. Analyzing data from S&P 500‐listed firms (an unbalanced panel of 587 firm‐year observations) in the ICT industry, we identify an inverted U‐shaped relationship between such reconfiguration and performance. We also find that this relationship is moderated by entrepreneurial orientation. Specifically, the positive impact of technology portfolio reconfiguration on firm performance at relatively low levels of reconfiguration and the negative impact at relatively high levels are both more pronounced in firms with high levels of entrepreneurial orientation than in those with low levels. However, we do not find evidence that market dynamism moderates this inverted U‐shaped relationship. These findings form a significant contribution to the body of knowledge on technology portfolio management and organizational change. [ABSTRACT FROM AUTHOR]
Copyright of R&D Management is the property of Wiley-Blackwell 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: <searchLink fieldCode="DE" term="%22Organizational+performance%22">Organizational performance</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamic+capabilities%22">Dynamic capabilities</searchLink><br /><searchLink fieldCode="DE" term="%22Information+%26+communication+technologies%22">Information & communication technologies</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+management%22">Technology management</searchLink><br /><searchLink fieldCode="DE" term="%22Corporate+reorganizations%22">Corporate reorganizations</searchLink><br /><searchLink fieldCode="DE" term="%22Organizational+change%22">Organizational change</searchLink>
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  Data: Using dynamic capabilities theory, this study investigates how the reconfiguration of a firm's technology portfolio influences its performance. Analyzing data from S&P 500‐listed firms (an unbalanced panel of 587 firm‐year observations) in the ICT industry, we identify an inverted U‐shaped relationship between such reconfiguration and performance. We also find that this relationship is moderated by entrepreneurial orientation. Specifically, the positive impact of technology portfolio reconfiguration on firm performance at relatively low levels of reconfiguration and the negative impact at relatively high levels are both more pronounced in firms with high levels of entrepreneurial orientation than in those with low levels. However, we do not find evidence that market dynamism moderates this inverted U‐shaped relationship. These findings form a significant contribution to the body of knowledge on technology portfolio management and organizational change. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of R&D Management is the property of Wiley-Blackwell 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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        Value: 10.1111/radm.12761
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        Text: English
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        Type: general
      – SubjectFull: Dynamic capabilities
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      – SubjectFull: Information & communication technologies
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      – SubjectFull: Corporate reorganizations
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      – SubjectFull: Organizational change
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              Text: Nov2025
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