BIROn - Birkbeck Institutional Research Online

    Does affective evaluation matter for the success of university-industry collaborations? A sentiment analysis of university-industry collaborative project reports

    De Silva, Muthu and Rossi, Federica and Yip, N.K.T. and Rosli, Ainurul (2020) Does affective evaluation matter for the success of university-industry collaborations? A sentiment analysis of university-industry collaborative project reports. Technological Forecasting and Social Change , ISSN 0040-1625. (In Press)

    [img] Text
    41526.pdf - Author's Accepted Manuscript
    Restricted to Repository staff only

    Download (559kB) | Request a copy

    Abstract

    University-industry collaborations (UICs) play a crucial role in the knowledge-based economy; however, past research has paid surprisingly little attention to the role played by the ‘subjective’ determinants of collaborations and their influence on ‘objective’ collaboration outcomes. By performing a sentiment analysis on a dataset of 415 final reports from completed UICs, we find that there is a negative relationship between the collaborators’ perceived challenges and benefits of UICs, mediated by negative affective evaluation. Instead, a positive affective evaluation of the UIC is positively correlated with its perceived benefits, which, in turn, are a predictor of an important objective outcome of UICs: the likelihood of future collaboration. A positive affective evaluation also negatively moderates the positive relationship between perceived challenges and negative affective evaluation. Therefore, a positive affective evaluation may increase the likelihood of future collaboration, even in a context in which a UIC is perceived to be challenging. Besides generating theoretical implications, our findings are of significant value for practitioners, as we highlight the need to regulate perception and affective evaluation to achieve successful UICs. We showcase sentiment analysis as a helpful foresight tool to identify those UICs that are more likely to continue over time.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): university-industry collaborations (UICs), perception, affective evaluation, sentiment analysis
    School: School of Business, Economics & Informatics > Management
    Depositing User: Administrator
    Date Deposited: 12 Nov 2020 12:39
    Last Modified: 18 Jun 2021 17:54
    URI: https://eprints.bbk.ac.uk/id/eprint/41526

    Statistics

    Downloads
    Activity Overview
    0Downloads
    0Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item