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The study aims to test the success of university-industry (U-I) collaboration in terms of innovation process efficiency. Then, this study explores the moderating role of a set of organizational routines in the U-I relationship, which can help in overcoming the issues undermining the collaboration success.

The study is based on an international Open Innovation (OI) survey. The survey investigated the items to build the main variables of the conceptual framework, measured through seven-point Likert scales. Steps to ensure the reliability and validity of the variables were conducted. Then, hypotheses were tested with an ordinary least squares regression.

Results show that the higher the collaboration intensity (depth) with universities, the higher the innovation process efficiency. Furthermore, organizational routines aimed at improving firms' assimilation absorptive capacity further strengthen the positive effects of intensive collaboration on innovation process efficiency.

Findings indicate that R&D managers should strive to build deep collaborations with universities to enhance process efficiency and invest in the quality of these relationships. Managers should create and maintain an internal environment that further enhances the positive effects of intensive collaboration on innovation process efficiency.

The OI literature has not reached a shared view on the positive contribution of universities toward industrial firms' innovation performance. The study adopts a process-efficiency view, rarely used by other OI studies usually focused on output indicators; this study unpacks, respectively, the role of the intensity of collaboration and the organizational routines, thus disclosing the benefit of U-I collaboration on innovation efficiency.

Innovation goes beyond creation, concentrating on enhancement, which is essential for advancement. Since 1998, the European Journal of Innovation Management (EJIM) has been a leading forum dedicated to thought leadership and research on the advances in innovation management. Given that EJIM has run over two decades, the time is now opportune to reflect on the journal's contributions to innovation management. Thus, this paper aims to retrospectively review the productivity, impact and knowledge of innovation management research in EJIM.

This paper adopts a bibliometric methodology to engage in a retrospective review of EJIM. The bibliographic data of 757 papers published in EJIM from 1998 to 2021 were retrieved from Scopus and analyzed using performance analysis and science mapping techniques.

The productivity (publication) and impact (citation) of innovation management research curated by EJIM have grown prolifically over time. Though EJIM operates with a European title, the journal receives and publishes contributions worldwide (e.g. Asia, Europe, North America, South America and Oceania). Noteworthily, the knowledge of innovation management research in EJIM can be divided into four categories: basic themes (general), which comprise innovation, open innovation, new product development and product and process innovation; motor themes (well-developed), which consist of organizational culture and innovation and leadership and creativity; niche themes (very specialized), which include dynamic capabilities and business model innovation; and emerging or declining themes (weakly developed or marginalized), which is made up of research and development (R&D) and green innovation.

This paper offers a seminal retrospection of EJIM and the journal's productivity, impact and contribution to innovation management.

This study aims to contribute to the understanding of Entrepreneurship and Resource-Based View (RBV) by investigating the research landscape of Innovation Determinants (ID). Through an extensive bibliometric analysis and knowledge mapping, we explore intellectual structures, emerging trends, research hotspots, and future prospects in the field from 1990 to December 2022. Additionally, we focus on identifying top research organizations, authors, collaboration patterns, and commonly used keywords to advance knowledge and awareness in this area.

A comprehensive retrieval strategy was employed to gather 2359 articles on ID from Web of Science, covering the period from 1990 to 2022. Utilizing CiteSpace as a visualization tool, we visually represent authors, institutions, and keywords. By examining knowledge maps using various indicators, we showcase the intellectual foundation and current research frontiers within the domain of ID.

Our findings reveal significant progress in academic research on ID over the past three decades, with a substantial number of 2359 published articles in the field. This signifies considerable advancement in exploring ID. The analysis of the co-authorship network presents a network of 406 authors represented as nodes and 112 collaborative interactions as links. The network's density indicates that only a minute 0.14% of the potential connections in the ID network have been established, highlighting the need for more cohesive and extensive global collaborations in this field.

This paper's originality lies in its temporal and dynamic examination of the past thirty years, utilizing CiteSpace for co-citation and co-occurrence network analysis. Additionally, the scientometric analysis reveals key co-occurring keywords, providing insights into the conceptual characteristics within the research field.