Abstract

Is there any type of relationship between the academic productivity of business researchers and their social networking activity? What does this mean in terms of open innovation? With these objectives, in this paper we have focused on the Technology Acceptance Model and the concept of performativity, filling the gap that exists in the current scientific literature. At the empirical level, we carried out a review of 211 articles from the Web of Science (SSCI), obtaining a total set of 12,939 data points. Our statistical model has showed a clear symbiotic relationship between productivity in Google Scholar and presence in ResearchGate. Furthermore, researchers with a greater presence on LinkedIn or Twitter have low Google Scholar or Web of Science h-indices. We concluded that there is currently a dissociation between academic and professional online networks, something that does not help the applicability of research in business and society, the enduring aim of any search for knowledge. Information Science can play an important role in helping to bridge the gap between academia and the real world. Furthermore, in order to contribute to enhancing the role of universities in open innovation practices, it is essential to design and implement new tools such as online communities that stimulate interaction and facilitate network effects.

Highlights

  • For the activity in online social networks (OSNs), we focused on LinkedIn and Twitter; in addition, we collected the activity in academic social networks (ASNs) ResearchGate and presence in Publons

  • From the literature review relating scientific research to open innovation, we found that according to Raunio el al. [98], the logic of open innovation and open co-creation is increasingly applied to interactions between university, industry, and society

  • Among the main conclusions drawn from our research, we found that ResearchGate have a significant and positive relationship with each of the h-indices (Google Scholar and Web of Science), coinciding with authors such as Yu et al [68] and Nicholas et al [67], who defend that it is an indicator of academic reputation

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Summary

Introduction

Information technologies, online social networks (OSNs), are a focus of interest at the international level, and concerning individuals and organizations [1]. [18] and Johnson et al [19] highlight the important role played by social networks in the exchange of knowledge between university and business These same ideas are shared by [20] in their research on the main factors affecting knowledge transfer in an open innovation context. Among their conclusions, they highlight that social networks are the most important factor affecting the exchange of ideas and methods from the university to the business. The seventh section addresses the results obtained, while the eighth section contains the discussion to establish the conclusions, limitations, and future lines of research

Conceptual and Theoretical Framework of the Research Question
Hypotheses
Research Method
Objective
Model Variables
Analysis
Conclusions
Implications
Findings
Limits and Future Research

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