Mathematical and Statistical Methods for Fostering Innovations in Small and Medium-Sized Enterprises

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Financial Mathematics".

Deadline for manuscript submissions: closed (30 December 2023) | Viewed by 2165

Special Issue Editors


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1. Multidisciplinary Research Centre for Innovations in SMEs (MrciS), GISMA University of Applied Sciences, 14469 Potsdam, Germany
2. Department of Digital Innovation, GISMA University of Applied Sciences, 14469 Potsdam, Germany
Interests: software engineering; business model innovation; innovation management
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Department of Computer Science Engineering, Jaypee Institute of Information Technology, Noida 201014, India
Interests: software engineering; distributed software engineering; search based software engineering; project management; innovation management and cloud computing
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Facultad de Informática, Universidad Pontifica de Salamanca, 37002 Salamanca, Spain
Interests: management of innovation in information technologies and communications
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BRU-Iscte - Business Research Unit (IBS), Iscte - University Institute of Lisbon, Lisboa 1649004, Portugal
Interests: business strategy; project management; complex problem-solving; business impact and knowledge management
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1. Software Consultants International Limited, Auburn, WA, USA
2. Software Project Management, EMSE Program, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Interests: software project management
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Special Issue Information

Dear Colleagues,

Startups operate in highly competitive and fluctuating markets, and continuous innovation is key to their survival. Continuous innovation can take various forms, such as through business model innovation. This requires startups to be highly responsive to opportunities in the marketplace. These opportunities could spur radical or incremental innovations. This ability to foster innovation comes from the dynamic capabilities of the startup. This Special Issue aims to disseminate research that highlights how startups could continuously innovate in fluctuating markets and, most importantly, how they continuously build their dynamic capabilities. The focus is to highlight the research from an engineering perspective with observed business impacts (business perspective). The innovation requires startups to generate ideas, test these ideas, and finally commercialise them. The innovations in startups are executed through continuous experimentations where hypotheses related to ideas, products, technologies, market selections, or any business processes are validated before they are executed in reality. The continuous experimentation is thus based on rigorous mathematical models. This Special Issue will disseminate innovation-related research pertaining to Small and Medium-sized Enterprises (SMEs) supported by rigorous mathematical models.

This Special Issue disseminates the extended version of accepted and presented papers in the “International Conference on Innovation Management in Small and Medium-sized Enterprises: Practice, Strategies, and Impacts (IMSMEs-2023)”Potsdam, Germany. The International conference is organized by the Multidisciplinary Research Center for Innovations in SMEs (MRCiS), GISMA University of Applied Sciences, Potsdam, Germany, in collaboration with INSERAS Research Group, Universidad de Alcalá, Alcalá de Henares (Madrid), Spain, on 24–25 August 2023. The conference will be at GISMA University of Applied Sciences, Think Campus, Konrad-Zuse-Ring 11, 14469 Potsdam, Germany. More information about the conference can be accessed at https://bit.ly/3NmgK1N.  

The SI also invites other researchers who cannot take part in the conference to submit their research papers falling within the SI’s scope.  

Dr. Varun Gupta
Prof. Dr. Chetna Gupta
Prof. Dr. Antonio Ferreras
Dr. Leandro Ferreira Pereira
Dr. Lawrence Peters
Guest Editors

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Published Papers (1 paper)

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Research

31 pages, 4006 KiB  
Article
Do Innovation Metrics Reflect Sustainable Policy Making in Europe? A Comparative Study Case on the Carpathian and Alpine Mountain Regions
by Andrei Coca, Manuela Rozalia Gabor and Irina Olimpia Susanu
Mathematics 2023, 11(6), 1558; https://doi.org/10.3390/math11061558 - 22 Mar 2023
Cited by 1 | Viewed by 1625
Abstract
This paper questions the evaluation of innovation systems and innovation measurements and the effectiveness of innovation policies applied at the territorial level by assessing whether the existing European regional scoreboard is effective in providing accurate inputs for decision-makers in mountainous regions. The aim [...] Read more.
This paper questions the evaluation of innovation systems and innovation measurements and the effectiveness of innovation policies applied at the territorial level by assessing whether the existing European regional scoreboard is effective in providing accurate inputs for decision-makers in mountainous regions. The aim of the research is to provide, through comparative analysis by using statistical multi-methods of two mountainous macro-regions (the Alps and the Carpathians), a possible and available path to develop novel perspectives and alternative views on innovation systems’ performance for informed and territorial-based policy making by using the indicators of the Regional Innovation Scoreboard. The methodology used includes descriptive statistics, chi-square bivariate test, Student’s t test, one-way ANOVA with Bonferroni post hoc multiple comparisons, multilinear regression analysis, and decision tree with CRT (classification and regression trees) algorithm. Our results emphasize the similarities and differences between the Alpine and Carpathian mountain regions, find the best predictors for each mountain region, and provide a scientific basis for the development of a holistic approach linking measurement theory, innovation systems, innovation policies, and their territorial approach toward sustainable development of mountain areas. The paper’s contribution is relevant in the context of remote, rural, and mountain areas, which are usually left behind in terms of innovation chances and in the context of the COVID-19 aftermath with budget constraints. The present results are pertinent for designing effective smart specialization strategies in these regions due to the difficulties that most remote areas and less developed regions are facing in developing innovation policies. Full article
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