Using big data to evaluate corporate social responsibility and sustainable development practices

Barbeito-Caamaño, Adriana M.; Chalmeta, Ricardo

doi:10.1002/csr.2006

Cited by 42 publications

(19 citation statements)

References 44 publications

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“…Mispricing is also inhibited as there is less room to manipulate. This can be confirmed with the data from the surveys of managers' opinions on the future of society and business (Barbeito-Caamaño & Chalmeta, 2020). For example, according to a large-scale study conducted by the International Expert Council of the World Economic Forum (2015), 75.4% of surveyed CEOs believe that 30% of corporate audits will be carried out by artificial intelligence by 2025; moreover, according to 45.2% of respondents, the Board may include the first robot with artificial intelligence by 2025.…”

Section: The Mechanism Of Artificial Intelligence On Business Managementsupporting

confidence: 68%

“…This new concept, along with the introduction of big data techniques, is gradually diverting the traditional business patterns (Afroze & Aulad, 2020). It is first introduced in the end of the last century (Barbeito-Caamaño & Chalmeta, 2020;Chrisley, 2004;Nilsson, 1996;Zeng & Hanyue, 2021) and is predicted to be popularized. During the last 5 years, its role has been especially enhanced, not only in technological industries but also among huge amount of enterprises (Elam and Konsynski, 2010) (Elam & Konsynski, 2010).…”

Section: Introductionmentioning

confidence: 99%

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RETRACTED ARTICLE: Corporate governance reform in the era of artificial intelligence: research overview and prospects based on knowledge graph

2021

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As an emerging concept, artificial intelligence has continuously impacted traditional corporate organizational structures and business models in the past ten years. Traditional corporate governance needs to continuously adapt to the needs of the changing environment. Combining the intelligent analysis method of knowledge graph, this paper combs the literature of corporate governance reform in the era of artificial intelligence during 2010-2020, analyzes the trend of corporate digital governance, how companies should change, and how Chinese companies should be in line with the world trend.

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Section: The Mechanism Of Artificial Intelligence On Business Managementsupporting

confidence: 68%

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Corporate governance reform in the era of artificial intelligence: research overview and prospects based on knowledge graph

2021

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“…The article contributes to the understanding and effects of firm dynamics in corporate social responsibility or lack thereof, on social networking sites by means of big data analysis. Barbeito-Caamaño and Chalmeta (2020) show an alternative method to evaluate sustainable development and CSR practices based on the opinions of corporate stakeholders expressed on Twitter. Knowledge about CSR practices and stakeholders’ opinions can be obtained using big data to analyze CSR information about the firms on online social networks.…”

Section: Introductionmentioning

confidence: 99%

Corporate Social Responsibility and Consumer Emotional Marketing in Big Data Era: A Mini Literature Review

et al. 2022

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In the digital era, big data can strengthen the awareness of corporate social responsibility (CSR) and make CSR more transparent to consumers. While big data continues to deepen the business transformation of enterprises, it is also a process of constantly understanding consumption and public expectations. In this process, the cognitive structure of enterprises is constantly adjusted, no longer simply pursuing performance but constantly realizing the expectations of users and society in order to maintain performance. Through mass media, corporate media, and other platforms, CSR is easier to affect consumers’ emotions. By reviewing the theory of emotional marketing and related research, this paper focuses on the different emotional ties between CSR and consumers and their different effects on consumers. This paper further emphasizes the profound significance of emotional marketing theory for understanding CSR in the era of big data. In addition, this paper also calls for more research based on big data technology, broken down by consumer needs – more specific attention to the different impacts of CSR on different consumers.

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“…With regard to environmental disclosure in particular, in recent years there has been a significant increase in the use of social networks (Cortado and Chalmeta, 2016), and the growth of social media has transformed the processes of online disclosure in the public sphere. Social media has allowed greater ease of access to dialogue and communication about CSR among users (Barbeito-Caamaño and Chalmeta, 2020; Castelló et al , 2013), yet its use in sustainability management is under-researched. In the field of environmental management practices, social media may be a powerful tool for interacting with stakeholders (Lodhia and Stone, 2017) even though most of the research in this field has highlighted interactivity levels as typically low (Giacomini et al , 2020; Gómez-Carrasco et al , 2020; Suárez-Rico et al , 2019).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Stakeholder interactions as sources for organisational learning: insights from the water sector

Giacomini

Paredi

Sancino

2022

MEDAR

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Purpose This paper aims to understand stakeholders' sentiments with respect to company policies in the water utilities (WU) sector and to explore if and how these sentiments could be a source for organisational learning. Design/methodology/approach This study investigates the use of social media in WUs’ and stakeholders’ reactions as a source of data for organisational learning. This paper relies on a mixed-methods approach based on sentiment analysis of Facebook (FB) pages and semi-structured interviews with sustainability managers from a sample of Italian WUs. Findings Findings show that WUs increasingly use FB mainly to promote and disclose environmental issues and as a source of information for organisational learning. A longitudinal analysis of environmental disclosure via FB reveals a growing trend of both companies’ posts and stakeholder interactions and significant differences among organisations in their ways of using information and knowledge obtained from social media. Originality/value Theoretically, this paper builds an original link between disclosure via social media and organisational learning processes. Empirically, to the best of the authors’ knowledge, this is one of the first studies to identify the quantity and quality of environmental disclosure via FB and the related stakeholders’ reactions.

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Using big data to evaluate corporate social responsibility and sustainable development practices

Cited by 42 publications

References 44 publications

RETRACTED ARTICLE: Corporate governance reform in the era of artificial intelligence: research overview and prospects based on knowledge graph

RETRACTED ARTICLE: Corporate governance reform in the era of artificial intelligence: research overview and prospects based on knowledge graph

Corporate Social Responsibility and Consumer Emotional Marketing in Big Data Era: A Mini Literature Review

Stakeholder interactions as sources for organisational learning: insights from the water sector

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