----- Apologies for crossposting -----
[CALL FOR PAPERS] ENANPAD 2020 – PORTO ALEGRE, RIO GRANDE DO SUL, BRAZIL
---- DEADLINE MAY 19, 2020 -----
Dear All,
On behalf of our leader team, I'd like to invite you to submit your research results to EnanpAd 2020, one of the biggest academic conferences of Latin America on Business Administration. It will take place on October 14-16, 2020 in Porto Alegre, Brazil.
Get more info at http://www.anpad.org.br/eventos.php?cod_evento=1
Theme 10 - Methods and techniques of Research and Teaching in innovation and entrepreneurship
ITE Division – Innovation, Technology and Entrepreneurship
The aim of this theme is to examine new methods, techniques and processes that allow the methodological development of research, the application of relevant advanced tools, or even teaching methods within the context of innovation management and entrepreneurship. The call is open to contributions that emphasize any method, be it qualitative, quantitative, experimental or conceptual in nature or based on advances in applied technological tools or processes of assessment, measurement and application in innovation or entrepreneurship activities. Thus, the emphasis of each article should be on the research method or analysis itself, on the application of the tool or process, as well as on the results achieved. We encourage contributions that explore the association of discrete methods, multi-method methods, or address but are not limited to the following topics: (1) Specificities of innovation and / or entrepreneurship management for methodological and theoretical design: How can exist and emerging methods contribute to the theoretical and analytical advance for studies in the field of Innovation / entrepreneurship? Or how can new methods be applied in teaching innovation and entrepreneurship? (2) Interdisciplinary Research: How can methods from other areas of knowledge contribute to innovation management and / or entrepreneurship studies? Advances in cognitive science, analysis, simulation and computational intelligence that can be applied to the study of innovation and / or entrepreneurship; (3) New units and levels of analysis in innovation / entrepreneurship management: What kind of methodological challenges and opportunities exist when studying forms of organization such as innovation or entrepreneurial ecosystems? How can we study innovation management and/or entrepreneurship issues when many actors or information are involved? (4) Measurement issues in innovation management and / or entrepreneurship research: How can we measure the apparently intangible concepts used in innovation management and / or entrepreneurship research? (5) Methodologies, techniques, tools, metrics and practical impact: How can we use methods to better communicate results so that they can be understood outside academia? How can we combine rigorous research methods with practical relevance at the same time? (6) Methodologies and new techniques for data collection, cleaning, standardization, processing and analysis for research and scientific production in the field of innovation and entrepreneurship:
- big data for word correlation, research topics, fields of knowledge, theoretical currents.
- artificial intelligence and algorithm modelling for systematic review, bibliometrics, scientometrics and meta-analyses.
- application of network analysis for innovation and entrepreneurship studies, innovation and / or entrepreneurial ecosystems, local actors, knowledge transfer, institutional relations, etc.
- use of road mapping, forecasting, foresight, Delphi techniques, such as predictive and prospective studies for entrepreneurship, innovation, technologies, patents or technological indicators.
- simulation analysis for technology decisions impact, support for emerging technologies and technological and social scenarios.
- use of techniques and tools for patentometry, innovation measurement through patents, intellectual contributions, networks, measurement of entrepreneurial activities, potential entrepreneurs, levels of new business success, etc.
- use of software for qualitative and quantitative studies, or new uses and techniques via software or web-based systems.
- neuroscience, cognitive computing, dynamic systems, schedule-based simulation, experiments, machine learning, blockchain, neural networks, artificial intelligence applied to studies of innovation and entrepreneurship in industry 4.0 context.
- methods or techniques for measuring and publicizing the social impact of academic research, research results or innovation and entrepreneurship projects, and the use of increased intelligence in innovation and entrepreneurship research.
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Très cordialement / Best Regards,
Dennys Eduardo ROSSETTO
Associate Professor of Global Innovation and Entrepreneurship
SKEMA Business School • Université Côte d'Azur (GREDEG)
Belo Campus • R. Bernardo Guimarães, 3071 - Barro Preto, Belo Horizonte, MG, Brazil
Phone: +55 31 3299-9700 | Mobile: +55 11 9493-60079
dennyseduardo.rossetto@skema.edu | http://www.skema.edu
Belo Horizonte • CAPE TOWN • Lille • Paris • Raleigh • Sophia Antipolis • Suzhou
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