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The purpose of this paper is to concentrate on the place of cyber security risk in the framework of global commitments adopted in 2015 to reduce disaster risks in an all-hazards approach. It explores the correlations between traditional risks associated with critical infrastructures – as understood by the Sendai framework – cyber security risks and the cascading effects characteristic of today’s complex and interrelated shocks and stresses. It takes a step further, expanding the focus of traditionally understood technological risks to explore cyber security risks, at the heart of our societies’ digital transformations,and showcase opportunities from the European context.

By reviewing existing literature on cyber security, disaster resilience and cascading disasters, this paper highlights current challenges and good practices undertaken by various governments.

Understanding disaster risks is a precondition to improving the mitigation of impacts of existing risks and preventing new risks. Effective risk reduction relies on a solid understanding of losses resulting from events to inform future actions, and on the assessment of risks relying on a robust evidence base and state-of-the-art scientific capacity to model and simulate potential hazards. In this context, embedding cyber security risks, and the complexity of cascading impacts in improving the understanding of disaster risks, calls for appropriate methods and tools allowing for a multi-risk and holistic focus to the assessment of risks and the planning of risk management capacities that follow.

Globally and in Europe, focus on interconnected risk and their impacts is steadily increasing. Risk assessments are still conservative; incorporation of cyber resilience into national and local level DRR plans is yet not visible.

Existing research is restricted to cyber security and disaster resilience, as separated subjects. This paper, for the first time, brings together the interconnection between the two topic options to address them.

Sustainable manufacturing practices are excessively being practised in the industry today. The impact on sustainability is ever more visible to the stakeholders because of faster and more efficient communication due to social media and the internet. This paper aims to study the impact of greenwashing by corporations and the stakeholders’ environmental concerns on consumers’ sustainable purchase behaviour.

The relationships between the impression of “greenwash”, sustainable purchasing behaviour, green word-of-mouth and green brand loyalty were investigated in this quantitative study. Participants who made up a representative sample filled out written surveys. The variables of interest were evaluated using scales that have undergone validation. Structural equation modelling was used in mediation analysis to investigate the mediating impacts of green word-of-mouth and green brand loyalty. The goal of the study was to offer empirical proof of how these factors affected consumers’ choices for sustainable products.

Analysis of the mediating relationship of perceived customer effectiveness in the relationship between environmental concern and sustainable purchase behaviour has been studied.

This study implicates that a company that primarily markets basic green and sustainable products or services must invest in informing people about environmental concerns and that by proper practices, a lot of the harm to the environment can be reduced.

Corporate greenwashing, also called false greening, has received much public attention recently. The unethical practices by the corporations, which previously majorly went unnoticed, have also recently gained a lot of visibility. This paper is one of the early attempts towards establishing the effect of corporate greenwashing on sustainable consumer behaviour.

Environmental sustainability is quickly becoming one of the most critical issues in industry development. This study aims to conduct a systematic literature review through which the author can provide various research areas to work on for future researchers and provide insight into Industry 4.0 and environmental sustainability.

This study accomplishes this by performing a backward analysis using text mining on the Scopus database. Latent semantic analysis (LSA) was used to analyze the corpus of 4,364 articles published between 2013 and 2023. The authors generated ten clusters using keywords in the industrial revolution and environmental sustainability domain, highlighting ten research avenues for further exploration.

In this study, three research questions discuss the role of environmental sustainability with Industry 4.0. The author predicted ten clusters treated as recent trends on which more insight is required from future researchers. The authors provided year-wise analysis, top authors, top countries, top sources and network analysis related to the topic. Finally, the study provided industrialization’s effect on environmental sustainability and the future aspect of automation.

The reliability of the current study may be compromised, notwithstanding the size of the sample used. Poor retrieval of the literature corpus can be attributed to the limitations imposed by the search words, synonyms, string construction and variety of search engines used, as well as to the accurate exclusion of results for which the search string is insufficient.

This research is the first-ever study in which a natural language processing technique is implemented to predict future research areas based on the keywords–document relationship.