DNs were slightly more positive about collaboration than GPs. A positive attitude towards collaboration did not seem to be a part of the GPs' professional role to the same extent as it is for DNs. Professional norms seem to have more influence on attitudes than do gender roles. DNs seem more confident in their profession than GPs.
PurposeThe purpose is to develop a work-integrated learning (WIL) model for university-society research collaboration facilitating societal impact toward short lag yet sustainable societal impact for local innovation.Design/methodology/approachThe methodology applied was engaged scholarship based on a WIL approach involving a network of collaborating partners from different sectors of society and cross-disciplinary university researchers. Mixed data collection methods were applied.FindingsConceptualization of university-society research collaboration for local innovation is presented as a WIL model including the elements of continuity and commitment, coordination, communication and relationships, trust, courage and creativity and co-creation opportunities. Short lag societal impact as local innovation was identified as product and process innovations.Research limitations/implicationsFurther validation of the model is encouraged for the model to be viable in various contexts and to generate different kinds of societal impact.Practical implicationsThe model may act as a governing tool for project management to facilitate co-creative and short lag societal impact for local innovation to ensure that engaged and learning activities are embedded in the collaborative process.Social implicationsThe model has implications for inclusiveness and co-creation fostering transparency, respect and mutuality in university-society research collaboration and to equate both academic and practice knowledge.Originality/valueThe conclusions drawn support the understanding of a WIL approach practicing engaged scholarship in research collaborations. The main theoretical and practical contributions of the article are the conceptual model for university-society research collaboration generating short lag societal implications and local innovation.
Online user generated reviews are transforming business and customer behavior and could have a major impact on sales. The primary aim of this study was to measure the impact of online reviews in comparison with the impact of a good friend's opinion. The question in focus was: to what extent could a single review made by a good friend compensate the opinion of the online majority? Subjects were randomly allocated to different versions of guest reviews of a fictive hotel: either constituting a positive or a negative online majority. After reading the reviews, respondents were asked about their booking intention. The respondents were also asked to reevaluate booking intention given the additional information that a good friend has given a recommendation or an advice against booking the hotel. The study design was experimental and based on a survey which included 1319 respondents who were randomized to the different versions of guest reviews. The results showed that the overall valence of reviews is crucial for booking intention, also the latest two reviews were important even though the effect was much smaller. If the overall valence was negative the latest two reviews had no importance, no matter if these were positive or negative. But, if the overall valence was positive, then the booking intention could be diluted if the two latest reviews were negative. Concerning the primary aim of the study, it is concluded that a good friend's word of mouth could outweigh the online majority. This means that a negative online majority could be outweigh by a good friend's recommendation and that a positive online majority could be outweigh by a goods friend's recommendation against booking the hotel.
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