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What "V" of the big data influence SMEs' open innovation breadth and depth? An empirical analysis.

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Title: What "V" of the big data influence SMEs' open innovation breadth and depth? An empirical analysis.
Authors: Ferrigno, Giulio1 (AUTHOR) giulio.ferrigno@santannapisa.it, Barabuffi, Saverio1 (AUTHOR) saverio.barabuffi@santannapisa.it, Marcazzan, Enrico1 (AUTHOR) enrico.marcazzan@santannapisa.it, Piccaluga, Andrea1 (AUTHOR) andrea.piccaluga@santannapisa.it
Source: R&D Management. Jun2025, Vol. 55 Issue 3, p795-816. 22p.
Subjects: Big data, Small business, Open innovation, Quantitative research, Velocity
Abstract: The open innovation (OI) paradigm has garnered relevant attention in recent years. Against this backdrop, this study explores the impact of a relatively recent phenomenon, such as Big Data, in terms of Volume, Velocity, and Variety, on small and medium enterprises' (SMEs') OI search. In fact, while issues related to Big Data have been often examined in the context of high‐tech firms, the effects on SMEs' OI search strategies have not been extensively studied. This paper addresses this gap by developing a quantitative analysis on a sample of 123 Italian SMEs. The findings reveal that Big Data significantly influences SMEs' OI breadth, leading to increased external collaborations. In parallel, they do not affect SMEs' OI depth. Moreover, the impact varies among the different "3Vs" of Big Data, suggesting that some characteristics have a more pronounced effect on SMEs' OI strategies. Drawing on these insights, this study contributes to the understanding of the interplay between Big Data characteristics and SMEs' OI, offering hopefully valuable implications for both OI and Big Data literature and proposing avenues for further research and practice. [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: What "V" of the big data influence SMEs' open innovation breadth and depth? An empirical analysis.
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  Data: <searchLink fieldCode="JN" term="%22R%26D+Management%22">R&D Management</searchLink>. Jun2025, Vol. 55 Issue 3, p795-816. 22p.
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  Data: <searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Small+business%22">Small business</searchLink><br /><searchLink fieldCode="DE" term="%22Open+innovation%22">Open innovation</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Velocity%22">Velocity</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The open innovation (OI) paradigm has garnered relevant attention in recent years. Against this backdrop, this study explores the impact of a relatively recent phenomenon, such as Big Data, in terms of Volume, Velocity, and Variety, on small and medium enterprises' (SMEs') OI search. In fact, while issues related to Big Data have been often examined in the context of high‐tech firms, the effects on SMEs' OI search strategies have not been extensively studied. This paper addresses this gap by developing a quantitative analysis on a sample of 123 Italian SMEs. The findings reveal that Big Data significantly influences SMEs' OI breadth, leading to increased external collaborations. In parallel, they do not affect SMEs' OI depth. Moreover, the impact varies among the different "3Vs" of Big Data, suggesting that some characteristics have a more pronounced effect on SMEs' OI strategies. Drawing on these insights, this study contributes to the understanding of the interplay between Big Data characteristics and SMEs' OI, offering hopefully valuable implications for both OI and Big Data literature and proposing avenues for further research and practice. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  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.12727
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        Text: English
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      – SubjectFull: Big data
        Type: general
      – SubjectFull: Small business
        Type: general
      – SubjectFull: Open innovation
        Type: general
      – SubjectFull: Quantitative research
        Type: general
      – SubjectFull: Velocity
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      – TitleFull: What "V" of the big data influence SMEs' open innovation breadth and depth? An empirical analysis.
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            – D: 01
              M: 06
              Text: Jun2025
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              Y: 2025
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