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Rural Small and Medium Enterprises Development in Molise (Italy)
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Small and Medium Enterprises (SMEs) are a key economic sector in Molise, a region in central Italy, characterized by a high level of rurality. This paper uses descriptive survey research to discuss the findings of a study of the innovation process in a sample of SMEs located in rural areas of Molise. It explores the aims of the innovation and any barriers encountered. Data were collected from 30 respondents with the aid of an on-line questionnaire. The sample was drawn from a database made available by the Chambers of Commerce in Molise. The database includes 165 firms that, in recent years, have introduced innovative technologies. The findings of the study revealed that there is a high level of awareness of the importance of technology among the managing bodies of SMEs. Most rural firms prefer to use new production technologies and new processes, rather than invest in research and development activities. Furthermore, there is a low propensity to set up partnerships with other enterprises along the supply chain and to participate in collaborative networks designed to stimulate innovation. Most owners and/or managers interviewed lamented the lack of financial resources necessary to make technological innovations. They also highlighted the considerable difficulty in accessing public and private funding. The paper concludes with some brief prospects by recommending a few implications for policy. The results of this study are important for both researchers as well as those involved in small business (including government, agencies and owner/managers).
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“Small and medium-sized enterprises (SMEs) in rural areas face ongoing problems such as poor connectivity, no secure payment mechanisms and a lack of skilled workers [28,29].”
From Divergent Paths of SME Digitalization: A Latent Class Approach to Regional Modernization in the European Union (2025) · cites this paper as [28]
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“Small and medium-sized enterprises (SMEs) in rural areas face ongoing problems such as poor connectivity, no secure payment mechanisms and a lack of skilled workers [28,29].”
Metadata
- Authors
- Fanelli, R. M.
- Affiliations
- University of Molise (IT)
- Corresponding author
- Fanelli, Rosa Maria
- ORCID
- Fanelli, Rosa Maria
- Venue
- European Countryside
- Publisher
- Walter de Gruyter GmbH
- Published
- 2018-12-01
- Volume
- 10
- Issue
- 4
- Pages
- 566-589
- ISSN
- 1803-8417 (ISSN-L)
- OpenAlex
- W2909432094
- Cited by
- 19
- References
- 1
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 2 · 2022: 4 · 2021: 2 · 2020: 2 · 2019: 4
- FWCI
- 3.05
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- European Countryside (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Archivio Istituzionale della Ricerca - Università degli Studi del Molise (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Firm Innovation and Growth
- Social Sciences › Development › Regional Development and Innovation
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Innovations and Practices
- Keywords
- innovation process, technological innovation, barriers to innovation, supply chain relationships, collaborative innovation networks, access to finance, financial constraints, R&D investment, innovation policy, Molise
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 ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Rural Small and Medium Enterprises Development in Molise (Italy). https://app.cochat.ai/papers/10.2478/euco-2018-0032
- The paper
- Fanelli, R. M. (2018). Rural Small and Medium Enterprises Development in Molise (Italy). European Countryside. https://doi.org/10.2478/euco-2018-0032