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1 – 3 of 3Li Chen, Dirk Ifenthaler, Jane Yin-Kim Yau and Wenting Sun
The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption…
Abstract
Purpose
The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain.
Design/methodology/approach
A scoping review was conducted using six inclusive and exclusive criteria agreed upon by the author team. The collected studies, which focused on the adoption of AI in entrepreneurship education, were analysed by the team with regards to various aspects including the definition of intelligent technology, research question, educational purpose, research method, sample size, research quality and publication. The results of this analysis were presented in tables and figures.
Findings
Educators introduced big data and algorithms of machine learning in entrepreneurship education. Big data analytics use multimodal data to improve the effectiveness of entrepreneurship education and spot entrepreneurial opportunities. Entrepreneurial analytics analysis entrepreneurial projects with low costs and high effectiveness. Machine learning releases educators’ burdens and improves the accuracy of the assessment. However, AI in entrepreneurship education needs more sophisticated pedagogical designs in diagnosis, prediction, intervention, prevention and recommendation, combined with specific entrepreneurial learning content and entrepreneurial procedure, obeying entrepreneurial pedagogy.
Originality/value
This study holds significant implications as it can shift the focus of entrepreneurs and educators towards the educational potential of artificial intelligence, prompting them to consider the ways in which it can be used effectively. By providing valuable insights, the study can stimulate further research and exploration, potentially opening up new avenues for the application of artificial intelligence in entrepreneurship education.
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Keywords
Irina Lock and Charlotte Schulz-Knappe
Companies in challenged industries such as fashion often struggle to communicate credibly with their stakeholders about their social and environmental achievements. Credible…
Abstract
Purpose
Companies in challenged industries such as fashion often struggle to communicate credibly with their stakeholders about their social and environmental achievements. Credible corporate social responsibility (CSR) communication, however, has been described theoretically as a predictor of legitimacy for organizations in society, but never proven empirically. The purpose of this paper is to test perceived credibility of a CSR website as a main predictor of input and output (pragmatic, cognitive and moral) legitimacy.
Design/methodology/approach
A 2 × 2 between-subjects online experiment with participants recruited from the SoSci Panel (n=321) is conducted on an anonymized website of a fashion company.
Findings
Credible CSR websites result in output (cognitive and pragmatic) legitimacy. However, participation in the CSR decision-making process (input or moral legitimacy) did not matter. Instead, the more subjects accepted the outcome of the CSR communication process, the more they found a company to be legitimate.
Research limitations/implications
The CSR communication process on a website is just one specific example. In other settings, such as social media, the role of participation in the CSR communication process will be different.
Practical implications
Communicating credibly is a key, particularly in challenged industries, such as fashion. Thus, designing credible communication material matters for legitimacy.
Originality/value
The findings for the first time confirm the credibility–legitimacy link in corporate communication empirically. Participation in CSR-related decision-making processes is overrated: the outcome of the CSR communication process is important for stakeholders and their acceptance of a company in society, the participation in the process less. This confirms the idea of CSR as stakeholder expectations management.
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Franzisca Weder, Sabine Einwiller and Tobias Eberwein
This editorial is an introduction to the special issue on CSR communication related to the 4th CSR Communication Conference, held in Vienna (Austria) in September 2017. The…
Abstract
Purpose
This editorial is an introduction to the special issue on CSR communication related to the 4th CSR Communication Conference, held in Vienna (Austria) in September 2017. The purpose of this paper is to critically reflect on the state-of-the-art in academic research on CSR communication concepts, strategies and future scenarios.
Design/methodology/approach
The editorial critically evaluates existing academic research dealing with CSR communication in the digital age. More precisely, it analyses established theories and concepts of CSR communication in terms of their fit to meet future challenges.
Findings
It can be noted that CSR communication practice is heading for new shores. Economic pressure, legal and political requirements, reputation risks in a digital media ecology and a new civic-minded and well-being-oriented generation of employees require a reorientation of CSR communication from information to impact orientation. Thus, the authors complement the approach of communication about CSR with the concept of communicative responsibility as a normative framework for corporate communication in the future.
Originality/value
The analyzed literature as well as the papers of the CSR Communication Conference indicate that the authors are heading toward a future of impact- instead of information-oriented communication. Here, communicative responsibility comes in as a fourth dimension of corporate responsibility, offering a normative framework for strategic, impact-oriented sustainability communication, integrated reporting and internal CSR.
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