The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
More than one way to get there: a configurational view on performance drivers in knowledge-intensive entrepreneurship
Open accessAbstract
Purpose: Knowledge-intensive entrepreneurial firms (KIE) strongly rely on scientific and strategic research and development (R&D) capabilities to achieve higher performance levels. Hence, the purpose of this paper is to disentangle the effects of scientific capabilities and strategic R&D on KIE performance; and how the constituent elements of these dimensions can be configured to generate conditions for high performance. Design/methodology/approach: The authors’ empirical setting involves companies that submitted projects to the Innovative Research in Small Businesses (PIPE) program in Brazil. The authors then run partial least square structural equation modeling to verify how scientific and strategic R&D capabilities influence the performance construct. Second, the authors apply fuzzy-set qualitative comparative analysis to identify configurations that are equifinal in terms of generating superior performance. Findings: Findings indicate a strong association between scientific capabilities and KIE performance. The configurational approach outlines the existence of multiple paths to success, but human capital stands as a core condition throughout estimations. Practical implications: The authors’ assessment has implications for how KIE firms are managed according to their organizational profiles and trajectories. Also, it advances the authors’ comprehension on how entrepreneurship policies can better target these distinct profiles. Originality/value: The authors’ analysis provides new evidence on the inherent complexity behind the generation of high performance in KIE when addressing their portfolios of knowledge-related capabilities. More than that, the authors were able to identify the existence of heterogeneous profiles that can equally lead to higher levels of performance.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The PIPE dataset can glimpse the Brazilian scenario and is considered a consistent source.
“This dataset can glimpse the Brazilian scenario once considered a consistent source (Fischer et al. 2022;de Moraes et al. 2023).”
From Dynamic Configurations of Entrepreneurial Ecosystem Elements for Blended Value Creation (2025) · cites this paper as de Moraes et al. 2023
Section 3.1 describes a validated survey of PIPE applicants, reports no significant differences between respondents and non-respondents on the characteristics tested, and presents São Paulo as an informative case for studying knowledge-intensive firms in a developing-country context. It does not establish that the dataset represents Brazil as a whole; the concluding remarks also acknowledge sampling bias because only PIPE applicants were studied. Page numbers were not available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Entrepreneurship, institutional economics, and economic growth: an ecosystem perspective
Acs, Z. J., Estrin, S., Mickiewicz, T., & Szerb, L. (2018) · Small Business Economics · doi:10.1007/s11187-018-0013-9 · Cited by 582
Rasoolimanesh, S. M., Ringle, C. M., Sarstedt, M., & Olya, H. (2021) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-10-2020-1164 · Cited by 536
Flagged first, then by citations
Research works printed but not linked: 121
- 2019, Knowledge management, decision-making style and organizational performance, Journal of Innovation & Knowledge, 4, 104, 10.1016/j.jik.2017.07.003 · DOI
- 2017, The lineages of the entrepreneurial ecosystem approach, Small Business Economics, 49, 1, 10.1007/s11187-017-9864-8 · DOI
- 2016, User-Industry spinouts: downstream industry knowledge as a source of new firm entry and survival, Organization Science, 27, 18, 10.1287/orsc.2015.1029 · DOI
- 2014, Knowledge sources of entrepreneurship: firm formation by academic, user and employee innovators, Research Policy, 43, 1109, 10.1016/j.respol.2014.04.012 · DOI
- 2011, The Bayh-Dole act and scientist entrepreneurship, Research Policy, 40, 1058, 10.1016/j.respol.2011.04.006 · DOI
- 2017, A critical review of entrepreneurial ecosystems research: towards a future research agenda, European Planning Studies, 25, 887, 10.1080/09654313.2017.1299694 · DOI · Paper page
- 2019, Configurations of knowledge-Intensive entrepreneurial ecosystems, RAE Revista de Administracao de Empresas, 59, 10.1590/S0034-759020190403 · DOI · Paper page
- 2012, Small business innovation: firm level evidence from Sweden, The Journal of Technology Transfer, 37, 732, 10.1007/s10961-011-9216-9 · DOI
- 2021, Have we oversold the silicon valley model of entrepreneurship?, Small Business Economics, 56, 849, 10.1007/s11187-019-00272-4 · DOI
- 2012, Entrepreneurship and innovation: public policy frameworks, The Journal of Technology Transfer, 37, 1, 10.1007/s10961-011-9240-9 · DOI
- 2019, Entrepreneurship and knowledge spillovers from the public sector, International Entrepreneurship and Management Journal, 15, 195, 10.1007/s11365-018-0538-z · DOI
- 2016, Dynamic entrepreneurship and technology-based innovation, Journal of Evolutionary Economics, 26, 603, 10.1007/s00191-016-0458-4 · DOI
- 2020, Innovative start-ups and policy initiatives, Research Policy, 49, 104027, 10.1016/j.respol.2020.104027 · DOI
- 2016, Retaining winners: can policy boost high-growth entrepreneurship?, Research Policy, 45, 42, 10.1016/j.respol.2015.06.002 · DOI
- 2017, Impact of public seed-funding on academic spin-offs, The Journal of Technology Transfer, 42, 1100, 10.1007/s10961-016-9476-5 · DOI
- 2003, Improvising firms: bricolage, account giving and improvisational competencies in the founding process, Research Policy, 32
- 2021, Mapping the “valley of death”: managing selection and technology advancement in NASA’S small business innovation research program, IEEE Transactions on Engineering Management, 68, 1476, 10.1109/TEM.2019.2904441 · DOI
- 2006, Dynamic capabilities in early-phase entrepreneurship, Knowledge and Process Management, 13, 162, 10.1002/kpm.255 · DOI
- 2018, Growth factors of research-based spin-offs and the role of venture capital investing, The Journal of Technology Transfer, 43, 1375, 10.1007/s10961-017-9635-3 · DOI
- 2019, Public Research and Innovative Entrepreneurship: Preliminary Cross-Country Evidence from Micro Data, 10.1787/0d057da7-en · DOI
- 2012, Corporate effectuation: entrepreneurial action and its impact on R&D project performance, Journal of Business Venturing, 27, 167, 10.1016/j.jbusvent.2011.01.001 · DOI
- 2014, Inside the high-tech black box: a critique of technology entrepreneurship policy, Technovation, 34, 773, 10.1016/j.technovation.2014.07.013 · DOI
- 2018, How strategic knowledge management drives intellectual capital to superior innovation and market performance, Journal of Knowledge Management, 22, 621, 10.1108/JKM-07-2017-0309 · DOI
- 2016, Managerial perceptions of barriers to internationalization: an examination of Brazil’s new technology-based firms, Journal of Business Research, 69, 1973, 10.1016/j.jbusres.2015.10.143 · DOI
- 2019, Ambidextrous workforces for managing market turbulence, Career Development International, 24, 491, 10.1108/CDI-10-2018-0265 · DOI
- 2021, Knowledge hiding in socioeconomic settings: matching organizational and environmental antecedents, Journal of Business Research, 135, 19, 10.1016/j.jbusres.2021.06.012 · DOI
- 2014, Clusters of entrepreneurship and innovation, Innovation Policy and the Economy, 14, 129, 10.1086/674023 · DOI
- 2022, Rethinking companies’ culture through knowledge management lens during industry 5.0 transition, Journal of Knowledge Management, 26, 2485, 10.1108/JKM-09-2021-0718 · DOI
- 1988, Statistical Power Analysis for the Behavioral Sciences
- 2020, To what extent do young innovative companies take advantage of policy support to enact innovation appropriation mechanisms?, Research Policy, 49, 103797, 10.1016/j.respol.2019.05.006 · DOI
- 2010, Dynamics of science-based entrepreneurship, The Journal of Technology Transfer, 35, 1, 10.1007/s10961-009-9114-6 · DOI
- 2011, R&D subsidies and the performance of high-tech start-ups, Economics Letters, 112, 97, 10.1016/j.econlet.2011.03.007 · DOI
- 2016, You can lead a firm to R&D but can you make it innovate? UK evidence from SMEs, Small Business Economics, 46, 565, 10.1007/s11187-016-9704-2 · DOI
- 2021, Latent technology as an outcome of R&D, Technological Forecasting and Social Change, 162, 10.1016/j.techfore.2020.120371 · DOI
- 2013, Young innovative companies: the new high-growth firms?, Industrial and Corporate Change, 22, 1315, 10.1093/icc/dts039 · DOI
- 2001, The role of R&D intensity, technical development and absorptive capacity in creating entrepreneurial wealth in high technology start-ups, Journal of Engineering and Technology Management, 18
- 2017, Global knowledge intensive enterprises and international technology transfer: emerging perspectives from a quadruple helix environment, The Journal of Technology Transfer, 42, 229, 10.1007/s10961-016-9496-1 · DOI
- 2022, Guest editorial: emerging challenges in international marketing knowledge management, International Marketing Review, 39, 10.1108/IMR-05-2022-389 · DOI
- 2006, Knowledge management at SMEs: five peculiarities, Journal of Knowledge Management, 10, 32, 10.1108/13673270610650085 · DOI
- 2021, The role of external embeddedness and knowledge management as antecedents of ambidexterity and performances in Italian SMEs, IEEE Transactions on Engineering Management, 68, 360, 10.1109/TEM.2019.2916378 · DOI
- 1983, The iron cage revisited: institutional isomorphism and collective rationality in organizational fields, American Sociological Review, 48, 147, 10.2307/2095101 · DOI · Paper page
- 2009, Statistical power analyses using G*power 3.1: tests for correlation and regression analyses, Behavior Research Methods, 41, 1149, 10.3758/BRM.41.4.1149 · DOI · Paper page
- 2005, Creating a cluster while building a firm: entrepreneurs and the formation of industrial clusters, Regional Studies, 39, 129, 10.1080/0034340052000320888 · DOI
- 2020, Strategic knowledge management: theory, practice and future challenges, Journal of Knowledge Management, 24, 121, 10.1108/JKM-07-2018-0461 · DOI
- 2023, Are public subsidies effective for university spinoffs? Evidence from SBIR awards in the university of California system, Research Policy, 52, 104662, 10.1016/j.respol.2022.104662 · DOI
- 2019, Universities’ institutional settings and academic entrepreneurship: notes from a developing country, Technological Forecasting and Social Change, 147, 10.1016/j.techfore.2019.07.009 · DOI
- 2018, On the location of knowledge-intensive entrepreneurship in developing countries: lessons from São Paulo, Brazil, Entrepreneurship & Regional Development, 30, 10.1080/08985626.2018.1438523 · DOI
- 2019, Evolution of university-industry collaboration in Brazil from a technology upgrading perspective, Technological Forecasting and Social Change, 145, 330, 10.1016/j.techfore.2018.05.001 · DOI
- 2022, Performance drivers in knowledge-intensive entrepreneurial firms: a multidimensional perspective, Journal of Knowledge Management, 26, 1342, 10.1108/JKM-03-2021-0264 · DOI
- 2018, Quality comes first: university-industry collaboration as a source of academic entrepreneurship in a developing country, The Journal of Technology Transfer, 43, 263, 10.1007/s10961-017-9568-x · DOI
- 2012, Effectuation, causation, and bricolage: a behavioral comparison of emerging theories in entrepreneurship research, Entrepreneurship Theory and Practice, 36, 1019, 10.1111/j.1540-6520.2012.00537.x · DOI
- 2011, Building better causal theories: a fuzzy set approach to typologies in organization research, source, Academy of Management Journal, 54
- 2017, How do entrepreneurs think they create value? A scientific reflection of Eric Ries’ lean startup approach, International Entrepreneurship and Management Journal, 13, 169, 10.1007/s11365-016-0411-x · DOI
- 2017, Learning styles of entrepreneurs in knowledge-intensive industries, International Journal of Entrepreneurial Behavior & Research, 23, 446, 10.1108/IJEBR-12-2015-0307 · DOI
- 2016, On the economic performance of nascent entrepreneurs, European Economic Review, 86, 109, 10.1016/j.euroecorev.2015.07.018 · DOI
- 2022, Helping the little guy: the impact of government awards on small technology firms, The Journal of Technology Transfer, 47, 846, 10.1007/s10961-021-09859-0 · DOI
- 2020, Unpacking liabilities of newness and smallness in innovative start-ups: investigating the differences in innovation performance between new and older small firms, Research Policy, 49, 104049, 10.1016/j.respol.2020.104049 · DOI
- 2008, Using qualitative comparative analysis in strategic management research: an examination of combinations of industry, corporate, and business-unit effects, Organizational Research Methods, 11, 695, 10.1177/1094428107302907 · DOI · Paper page
- 2014, Creating and sustaining knowledge-intensive entrepreneurship * managing knowledge intensive entrepreneurship by MaureenMcKelvey and Astrid Heidemann Lassen, Science and Public Policy, 41, 137, 10.1093/scipol/sct081 · DOI
- 2019, Innovation practices in emerging economies: do university partnerships matter?, The Journal of Technology Transfer, 44, 615, 10.1007/s10961-017-9578-8 · DOI
- 2019, How do scientists contribute to the performance of innovative start-ups? An imprinting perspective on open innovation, Journal of Management Studies, 56, 895, 10.1111/joms.12418 · DOI
- 2022, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
- 2016, Knowledge management and business performance: global experts’ views on future research needs, Journal of Knowledge Management, 20, 1169, 10.1108/JKM-12-2015-0521 · DOI
- 2020, Start-up subsidies: does the policy instrument matter?, Research Policy, 49, 10.1016/j.respol.2019.103888 · DOI
- 2020, Entrepreneurship policy and systemic conditions: evidence-based implications and recommendations for emerging countries, Socio-Economic Planning Sciences, 72, 100872, 10.1016/j.seps.2020.100872 · DOI
- 2012, All the right moves: how entrepreneurial firms compete effectively, Strategic Entrepreneurship Journal, 6, 116, 10.1002/sej.1130 · DOI
- 2019, Organizational ambidexterity through global strategic partnerships: a cognitive computing perspective, Technological Forecasting and Social Change, 145, 43, 10.1016/j.techfore.2019.04.027 · DOI
- 2022, Customer knowledge hiding behavior in service multi-sided platforms, Journal of Business Research, 140, 482, 10.1016/j.jbusres.2021.11.017 · DOI
- 2018, Strategic knowledge management and evolving local government, Journal of Knowledge Management, 22, 219, 10.1108/JKM-06-2017-0232 · DOI
- 2021, Do public R&D subsidies produce jobs? Evidence from the SBIR/STTR program, Research Policy, 50, 10.1016/j.respol.2021.104286 · DOI
- 1999, The government as venture capitalist: the long-run impact of the SBIR program, The Journal of Business, 72, 285, 10.1086/209616 · DOI
- 2002, When bureaucrats meet entrepreneurs: the design of effective `public venture capital’ programmes, The Economic Journal, 112, F73, 10.1111/1468-0297.00684 · DOI
- 2009, Bringing science to market: commercializing from NIH SBIR awards, Economics of Innovation and New Technology, 18, 381, 10.1080/10438590802208166 · DOI
- 2022, The coevolution of innovation ecosystems and the strategic growth paths of knowledge-intensive enterprises: the case of China’s integrated circuit design industry, Journal of Business Research, 144, 428, 10.1016/j.jbusres.2022.02.008 · DOI
- 2005, The creation of spin-off firms at public research institutions: managerial and policy implications, Research Policy, 34, 981, 10.1016/j.respol.2005.05.010 · DOI
- 1977, A general contingency theory of management, The Academy of Management Review, 2, 181, 10.2307/257902 · DOI
- 2008, Factors influencing the establishment of knowledge-intensive ventures, International Journal of Entrepreneurial Behavior & Research, 14, 70, 10.1108/13552550810863062 · DOI
- 2023, Internationalized knowledge-intensive business service (KIBS) for servitization: a microfoundation perspective, International Marketing Review, 1, 10.1108/IMR-12-2021-0366 · DOI
- 2020, Knowledge-intensive innovative entrepreneurship integrating Schumpeter, evolutionary economics, and innovation systems, Small Business Economics, 54, 503, 10.1007/s11187-018-0060-2 · DOI
- 2020, Use of knowledge management systems: analysis of the strategies of Brazilian small and medium enterprises, Journal of Knowledge Management, 24, 369, 10.1108/JKM-06-2019-0334 · DOI
- 2019, A measure of enterprises’ innovative activity for microfirms and startups, Academy of Strategic Management Journal, 18, 1
- 2003, Academic entrepreneurs or entrepreneurial academics? Research-based ventures and public support mechanisms, R and D Management, 33, 107, 10.1111/1467-9310.00286 · DOI
- 2014, Substitutes or complements? A configurational examination of corporate governance mechanisms, Academy of Management Journal, 57, 1681, 10.5465/amj.2012.0728 · DOI · Paper page
- 2019, High-Tech entrepreneurship in developing countries: way to success, Academy of Entrepreneurship Journal, 25
- 2004, The role of academic inventors in entrepreneurial firms: sharing the laboratory life, Research Policy, 33, 643, 10.1016/j.respol.2004.01.013 · DOI
- 2019, Startups and technology transfer from universities and research centers—an analysis of the impact on launching new products, 17, 10.1007/978-3-030-10865-6_2 · DOI
- 2020, Knowledge management, intellectual capital and entrepreneurship: a structured literature review, Journal of Knowledge Management, 24, 1797, 10.1108/JKM-01-2020-0052 · DOI
- 2021, Fuzzy-set qualitative comparative analysis (fsQCA): guidelines for research practice in information systems and marketing, International Journal of Information Management, 58, 102310, 10.1016/j.ijinfomgt.2021.102310 · DOI · Paper page
- 2017, Determinants of young firms’ innovative performance: empirical evidence from Europe, Research Policy, 46, 1312, 10.1016/j.respol.2017.05.011 · DOI
- 1987, The Comparative Method: moving beyond Qualitative and Quantitative Strategies
- 2008, Redesigning Social Inquiry: Set Relations in Social Research
- 2012, Topologies of innovation networks in knowledge-intensive sectors: sectoral differences in the access to knowledge and complementary assets through formal and informal ties, Technovation, 32, 380, 10.1016/j.technovation.2012.02.003 · DOI
- 2022, Acknowledging diversity in knowledge-intensive entrepreneurship: assessing the Brazilian small business innovation research, Journal of Technology Transfer, 48, 10.1007/s10961-022-09976-4 · DOI
- 2013, The interplay of human and social capital in shaping entrepreneurial performance: the case of Vietnam, Small Business Economics, 40, 435, 10.1007/s11187-012-9427-y · DOI
- 2001, Causation and effectuation: toward a theoretical shift from economic inevitability to entrepreneurial contingency, source, The Academy of Management Review, 26
- 2021, Mutualism in ecosystems of innovation and entrepreneurship: a bidirectional perspective on universities’ linkages, Journal of Business Research, 134, 184, 10.1016/j.jbusres.2021.05.039 · DOI
- 2010, Standards of good practice in qualitative comparative analysis (QCA) and Fuzzy-Sets, Comparative Sociology, 9, 397, 10.1163/156913210X12493538729793 · DOI · Paper page
- 2017, The effect of social networking sites and absorptive capacity on SMES’ innovation performance, The Journal of Technology Transfer, 42, 409, 10.1007/s10961-016-9517-0 · DOI
- 2017, Entrepreneurial learning dynamics in knowledge-intensive enterprises, International Journal of Entrepreneurial Behavior & Research, 23, 366, 10.1108/IJEBR-01-2017-0020 · DOI
- 2009, Why encouraging more people to become entrepreneurs is bad public policy, Small Business Economics, 33, 141, 10.1007/s11187-009-9215-5 · DOI
- 2012, Universities and the success of entrepreneurial ventures: evidence from the small business innovation research program, The Journal of Technology Transfer, 37, 404, 10.1007/s10961-010-9186-3 · DOI
- 2017, Non-founder human capital and the long-run growth and survival of high-tech ventures, Technovation, 59, 34, 10.1016/j.technovation.2016.09.001 · DOI
- 2016, The impact of university-based incubation support on the innovation strategy of academic spin-offs, Technovation, 50/51, 25, 10.1016/j.technovation.2015.11.001 · DOI
- 2007, How smart is smart money? A two-sided matching model of venture capital, The Journal of Finance, 62, 2725, 10.1111/j.1540-6261.2007.01291.x · DOI
- 2009, The roles of R&D in new firm growth, Small Business Economics, 33, 77, 10.1007/s11187-009-9183-9 · DOI
- 2018, Resource orchestration in start-ups: synchronizing human capital investment, leveraging strategy, and founder start-up experience, Strategic Entrepreneurship Journal, 12, 194, 10.1002/sej.1269 · DOI
- 2012, Prior knowledge and new product and service introductions by entrepreneurial firms: the mediating role of technological innovation, Journal of Small Business Management, 50, 41, 10.1111/j.1540-627X.2011.00343.x · DOI
- 2007, Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance, Strategic Management Journal, 28, 1319, 10.1002/smj.640 · DOI · Paper page
- 1997, Dynamic capabilities and strategic management, Strategic Management Journal, 18, 509, 10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z · DOI · Paper page
- 2020, How does cluster location and intellectual capital impact entrepreneurial success within high-growth firms?, Journal of Intellectual Capital, 22, 171, 10.1108/JIC-02-2020-0066 · DOI
- 2020, Endowing university spin-offs pre-formation: entrepreneurial capabilities for scientist-entrepreneurs, Technovation, 96-97, 10.1016/j.technovation.2020.102153 · DOI
- 2009, Exploring the relationship between scientist human capital and firm performance: the case of biomedical academic entrepreneurs in the sbir program, Management Science, 55, 101, 10.1287/mnsc.1080.0913 · DOI
- 2019, Gimme shelter or fade away: the impact of regional entrepreneurial ecosystem quality on venture survival, Industrial and Corporate Change, 28, 827, 10.1093/icc/dtz032 · DOI
- 2017, Strategic knowledge management—insights and pitfalls, International Journal of Information Management, 37, 313, 10.1016/j.ijinfomgt.2017.02.002 · DOI
- 2018, Effectuation and causation in science-based new venture creation: a configurational approach, Journal of Business Research, 83, 173, 10.1016/j.jbusres.2017.10.041 · DOI
- 2017, Ambidexterity, external knowledge and performance in knowledge-intensive firms, The Journal of Technology Transfer, 42, 374, 10.1007/s10961-016-9502-7 · DOI
- 2011, The effectiveness of university knowledge spillovers: performance differences between university spinoffs and corporate spinoffs, Research Policy, 40, 1128, 10.1016/j.respol.2011.05.014 · DOI
- 2020, How can open innovation ecosystem modes push product innovation forward? An fsQCA analysis, Journal of Business Research, 108, 29, 10.1016/j.jbusres.2019.10.011 · DOI
- 1999, Developing a knowledge strategy, California Management Review, 41, 125, 10.2307/41166000 · DOI
- 2006, Entrepreneurship and dynamic capabilities: a review, model and research agenda, Journal of Management Studies, 43, 917, 10.1111/j.1467-6486.2006.00616.x · DOI · Paper page
- 2020, The micro-foundations of strategic ambidexterity: Chinese cross-border M&As, Mid-View thinking and integration management, International Business Review, 29, 10.1016/j.ibusrev.2020.101710 · DOI
Cited by
Sorted by citations
Dynamic Configurations of Entrepreneurial Ecosystem Elements for Blended Value Creation
Pelegrini, G. C., de Moraes, G. H. S. M., do Prado, N. B., Fischer, B. B., & Anholon, R. (2025) · Sustainable Development · doi:10.1002/sd.3469 · Cited by 6
Self-citation
Metadata
- Authors
- Moraes, G. H. S. M. D., Fischer, B., Salles-Filho, S., Meissner, D., & Dabic, M.
- Affiliations
- National Research University Higher School of Economics (RU)
- Universidade Estadual de Campinas (UNICAMP) (BR)
- Venue
- Journal of Knowledge Management
- Publisher
- Emerald
- Published
- 2023-08-28
- Volume
- 27
- Issue
- 11
- Pages
- 205-230
- ISSN
- 1367-3270 (ISSN-L)
- OpenAlex
- W4386182390
- Cited by
- 16
- References
- 2
- Citations by year
- 2026: 2 · 2025: 10 · 2024: 4
- FWCI
- 2.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Knowledge Management (publishedVersion, cc-by)
- Funders
- Sveučilište u Zagrebu
- Strong
- European Commission (HORIZON2020)
- National Research University Higher School of Economics (5‐100)
- Univerza v Ljubljani
- Interreg
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Entrepreneurship Studies and Influences
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Firm Innovation and Growth
- Keywords
- knowledge-intensive entrepreneurship, firm performance, scientific capabilities, strategic R&D, R&D capability, human capital, configurational analysis, equifinal configurations, entrepreneurial firms, entrepreneurship policy, small business
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review