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Article
Publication date: 29 February 2024

Ingrid Hemmer, Christoph Koch and Anna Peitz

This paper aims to analyze the extent to which education for sustainable development (ESD) training enhances university teachers’ professional competence and whether it has the…

174

Abstract

Purpose

This paper aims to analyze the extent to which education for sustainable development (ESD) training enhances university teachers’ professional competence and whether it has the same effect in the digital as in the face-to-face format.

Design/methodology/approach

A training concept was developed based on the professional action competence model. Between 2018 and 2021, 19 training sessions were conducted with 183 university teachers: ten in face-to-face sessions and nine in the digital format. Questionnaires were administered before and after the training to determine its impact.

Findings

Overall, the training proved to be effective. There was a significant increase in professional knowledge and self-efficacy after the training, but there was no change in motivation. The face-to-face and digital formats proved to be equally effective.

Research limitations/implications

The long-term effect of the training could not be determined.

Practical implications

There should be regular ESD training and coaching for university teachers.

Originality/value

There has been little research on the effectiveness of ESD teacher training, and no comparison between the face-to-face and digital approaches exists. It has been possible to train a relatively large number of university teachers from a wide range of subject areas, about two-thirds of whom have had no previous ESD experience.

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Article
Publication date: 12 November 2024

Michele Modina, Maria Fedele and Anna Vittoria Formisano

This paper aims to provide a broad overview of the corpus of studies on digital finance in relation to small and medium enterprises (SMEs) and startups.

113

Abstract

Purpose

This paper aims to provide a broad overview of the corpus of studies on digital finance in relation to small and medium enterprises (SMEs) and startups.

Design/methodology/approach

Bibliometric analysis was used, allowing to investigate the relevant literature (735 articles). In accordance with best practices, relevant articles were identified on the topic following the PRISMA 2020 framework that ensures reproducible and rigorous results. The search then proceeds with performance analysis, identifying key trends at the intersection of research fields, including distribution of articles by year, citations by year, most cited contributions and most cited and prolific authors. This is followed by analyses of co-citation, co-authorship and co-occurrence with a detailed description of the thematic clusters identified.

Findings

Performance analysis shows that scholarly output covers a 12-year period, starting in 2011, and demonstrates a growing interest in this topic. Co-occurrence analysis reveals a significant intellectual structure which allows numerous knowledge gaps to emerge, and these offer new opportunities to be addressed in future research.

Originality/value

This study uniquely focuses on the evolution of the research domain related to digital finance associated with SMEs and startups. It provides implications for practitioners and avenues that researchers can develop in the future to produce impactful studies.

Details

Journal of Small Business and Enterprise Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1462-6004

Keywords

Available. Open Access. Open Access
Article
Publication date: 25 June 2024

Piotr Staszkiewicz, Jarosław Horobiowski, Anna Szelągowska and Agnieszka Maryla Strzelecka

The study aims to identify the practical borders of AI legal personality and accountability in human-centric services.

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Abstract

Purpose

The study aims to identify the practical borders of AI legal personality and accountability in human-centric services.

Design/methodology/approach

Using a framework tailored for AI studies, this research analyses structured interview data collected from auditors based in Poland.

Findings

The study identified new constructs to complement the taxonomy of arguments for AI legal personality: cognitive strain, consciousness, cyborg paradox, reasoning replicability, relativism, AI misuse, excessive human effort and substitution.

Research limitations/implications

The insights presented herein are primarily derived from the perspectives of Polish auditors. There is a need for further exploration into the viewpoints of other key stakeholders, such as lawyers, judges and policymakers, across various global contexts.

Practical implications

The findings of this study hold significant potential to guide the formulation of regulatory frameworks tailored to AI applications in human-centric services. The proposed sui generis AI personality institution offers a dynamic and adaptable alternative to conventional legal personality models.

Social implications

The outcomes of this research contribute to the ongoing public discourse on AI’s societal impact. It encourages a balanced assessment of the potential advantages and challenges associated with granting legal personality to AI systems.

Originality/value

This paper advocates for establishing a sui generis AI personality institution alongside a joint accountability model. This dual framework addresses the current uncertainties surrounding human, general AI and super AI characteristics and facilitates the joint accountability of responsible AI entities and their ultimate beneficiaries.

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Article
Publication date: 13 July 2020

Demetris Vrontis, Michael Christofi, Enrico Battisti and Elvira Anna Graziano

This paper explores knowledge sharing (KS) and intellectual capital (IC) impacts on the success rate of equity crowdfunding (EC) campaigns in the Italian market, which represents…

1420

Abstract

Purpose

This paper explores knowledge sharing (KS) and intellectual capital (IC) impacts on the success rate of equity crowdfunding (EC) campaigns in the Italian market, which represents a new model for financing entrepreneurial initiatives.

Design/methodology/approach

The relation between KS, IC and the success rate of EC campaigns is analysed with a panel regression that measures IC through the value added intellectual coefficient. Social network analysis is used to measure KS in the users' network on Twitter for EC campaigning. Specifically, the authors consider the information users exchange on social networks as a proxy of KS and identify the hubs influencing information dissemination, the size and strength of networks for each EC campaign. Finally, the success rate of EC campaigns is a ratio of the number of positive campaigns to the total number of campaigns for each platform.

Findings

The success rate of EC campaigns is positively related to IC and significantly and positively related to the number of connections the EC platforms have.

Practical implications

The positive relationship between the hub role of social network platforms and the success of EC campaigns provides an important signal to crowdfunding operators. As more potential investors focus on an EC campaign, a bandwagon effect could involve uninformed investors. This result is crucial in order to better understand how social media activity affects crowdfunding success.

Originality/value

Although the literature has examined the impact of KS on general firm performance and the mediating role of intellectual capital, no prior studies have examined the impacts of KS and IC on the success rate of EC campaigns in a specific market.

Details

Journal of Intellectual Capital, vol. 22 no. 1
Type: Research Article
ISSN: 1469-1930

Keywords

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