Advanced Quantitative Techniques in Entrepreneurship Research
A special issue of Administrative Sciences (ISSN 2076-3387).
Deadline for manuscript submissions: 31 December 2024 | Viewed by 2515
Special Issue Editors
Interests: computational statistics; digital finance; extreme value theory; financial econometrics; quantitative finance; risk management; volatility and times series analysis
Special Issues, Collections and Topics in MDPI journals
Interests: financial economics; financial econometrics; risk management; banking
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Journal of Administrative Sciences invites submissions to a Special Issue on the topic of “Advanced Quantitative Techniques in Entrepreneurship Research”. This Special Issue will try to explore essential aspects of entrepreneurial potential. Specific aspects include, but are not limited to, Artificial Intelligence (AI), Machine Learning (ML), Internet-of-Things (IoT), Data Mining, statistical modelling and model selection, approaches for timeseries modelling and forecasting, classification and statistical learning. It aims to bring together novel design methodologies and their application on various perspectives of entrepreneurial activities, processes and outcomes. Particularly, it will highlight empirical studies that investigate and develop technology driven models to harness and propose solutions for different entrepreneurial challenges. The Special Issue invites contributions from a wide range of disciplines including, but not limited to, statistics, computer science, business, economics and finance.
This Special Issue is open to new methodological developments and state-of-the-art quantitative techniques with applications on entrepreneurship. It seeks to push the boundaries of entrepreneurship research by welcoming original unpublished work not being considered for publication elsewhere. Manuscripts can be submitted until the deadline. Additional submission guidelines to be followed are provided on the journal’s homepage: https://www.mdpi.com/journal/admsci.
Dr. Konstantinos Gkillas
Prof. Dr. Christos Floros
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Administrative Sciences is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- entrepreneurship
- machine learning
- advance statistical methods
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