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Data and Information in Online Environments. Second EAI International Conference, DIONE 2021, Virtual Event, March 10–12, 2021, Proceedings

Research Article

Relationship Between External Search Breadth and Process Innovation Performance Under the Background of Big Data

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  • @INPROCEEDINGS{10.1007/978-3-030-77417-2_33,
        author={Yanxia Ni and Jiangman Yu},
        title={Relationship Between External Search Breadth and Process Innovation Performance Under the Background of Big Data},
        proceedings={Data and Information in Online Environments. Second EAI International Conference, DIONE 2021, Virtual Event, March 10--12, 2021, Proceedings},
        proceedings_a={DIONE},
        year={2021},
        month={6},
        keywords={Big data External search breadth Process innovation Attention-based view Organizational learning theory},
        doi={10.1007/978-3-030-77417-2_33}
    }
    
  • Yanxia Ni
    Jiangman Yu
    Year: 2021
    Relationship Between External Search Breadth and Process Innovation Performance Under the Background of Big Data
    DIONE
    Springer
    DOI: 10.1007/978-3-030-77417-2_33
Yanxia Ni1, Jiangman Yu2
  • 1: Jianghan University Business School
  • 2: Hubei University of Technology

Abstract

With the advent of the era of big data, this article selects the 2014 World Bank survey data on Indian private companies from the perspective of knowledge search channels, and analyzes the relationship between external search breadth and enterprise process innovation performance from the perspective of organizational learning theory, and it also explores the moderate effect of the attention allocation process, namely, senior management's tenure and financing constraint. The research finds that: External search breadth and enterprise process innovation performance have an inverted U-shaped relationship. Senior management's tenure plays a positive moderate role. In addition, in order to ensure the correctness and reliability of the selected model, the paper tests the applicability and endogenous problems of the inverted U-shaped model of the sample. The research conclusions provide a theoretical reference for companies to effectively allocate attention and improve their ability to benefit from external search.

Keywords
Big data External search breadth Process innovation Attention-based view Organizational learning theory
Published
2021-06-15
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-77417-2_33
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