Knowledge-intensive entrepreneurship: a systematic review and future directions

Abstract

Purpose This study aims to propose a framework based on the main theoretical and empirical contributions present in the literature and articulate the main paths for future studies in knowledge-intensive entrepreneurship (KIE). Design/methodology/approach Using the systematic review method from a survey of 85 articles, related to the KIE focal issue, originated from the Web of Science, it was possible to exhaustively analyze the studies and to divide the theme into key categories. Findings The present research has raised the relationship of five categories to KIE conceptualizations; the data suggest that although the literature indicates a distancing from KIE research, there are multidisciplinary themes and approaches interlinked in the studies. Originality/value The systematic approach in the main theoretical and empirical contributions in KIE enabled us to relate five categories (entrepreneurs, innovation, internationalization, location and triple alliance), and finally, to understand the gaps suggested by the researchers.

On the Dynamics of Entrepreneurial Ecosystems: A Comparative Assessment of Green and ‘Traditional’ Knowledge-Intensive Entrepreneurship

“…The complete empirical model (Figure 2) allows us to confirm that a knowledge ecosystem positively affects ecosystem dynamics in KIE, which is coherent with the literature (Abualbasal & Badran, 2019;Isaksen & Trippl, 2017;Malerba & McKelvey, 2020;Morris, Shirokova, & Tsukanova, 2017;Spigel, 2017;Stam, 2009). In addition, it is confirmed that the socioeconomic dimension impacts the ecosystem dynamics, where the geographic and regional characteristics impact KIE, allowing a local intensification of initiatives as well as considering local and economic issues, as is the case of São Paulo (Fischer, Schaeffer, & Silveira, 2018;Sousa & Silva, 2019). This result also has theoretical and empirical support from previous assessments (Crescenzi & Rodríguez-Pose, 2012;Radosevic & Yoruk, 2013;Strumsky & Thill, 2013).…”

“…The research used classification information from PIPE projects to classify companies as green or traditional KIE. Traditional KIE is taken as the socioeconomic phenomenon that drives aggregate economic competitiveness and innovative capabilities by intensively using knowledge Sousa & Silva, 2019;Malerba & Mckelvey, 2020), while green KIE is understood as the initiatives that identify, evaluate, and process opportunities with a commitment to sustainability and environmental compatibility (Lotfi, Yousefi, & Jafari, 2018;Ye, Zhou, Anwar, Siddiquei, & Asmi, 2020). Project information is public and available on the Fapesp website (summary, description, location, knowledge area, keywords, direct and indirect impacts).…”

“…The dynamics of an ecosystem refer to how its components interact and generate outcomes that can influence and shape opportunities (Clayton, Donegan, Feldman, Forbes, Lowe, & Polly, 2019). In an entrepreneurial ecosystem, these conditions can be deemed as even more critical, because such meta-organizations encompass companies based on the intense use of knowledge and innovation, as well as technological and market disruption, which are often embedded in the economic trajectories of these cities and regions (Malerba & McKelvey, 2020;Sousa & Silva, 2019). Accordingly, companies that have a high impact on the ecosystem are essential to generate sustainable competitive advantages and make regions innovative, increasing the importance of the dynamics of this ecosystem (Han, Ruan, Wang, & Zhou, 2021).…”

Development of Economic Supporting Infrastructure in the Nation's Capital: A Proposal Using a Crowdfunding Scheme

“…By developing a particular SSS model for IKN financing, the Government can form an SSS tailored to infrastructure development in this area. The four methods (Kirby & Worner, 2014;Soares da Silva et al, 2019) can be applied simultaneously. In the context of SSS objectives, for example, when selling shares, a clear objective must be explained to the community to finance infrastructure projects and collaborative efforts with other institutions to encourage direct community participation.…”

Energy Management and Environmental Protection in Industrial Parks: A Comparative Study of Central Taiwan Science Park and Silicon Glen

“…Clustering theory, as summarized in this paper, explores the spatial concentration of high-tech industries and the benefits of agglomeration [11][12][13][14][15][16][17][18][19][20]. Studies on innovation ecosystems analyze interactions among firms, universities, research institutions, and government agencies with a focus on knowledge exchange and technology transfer [21][22][23][24][25][26]. Policymakers need to comprehend the specific challenges within developing entrepreneurial ecosystems and formulate policies adapted to the local context [27].…”