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Air pollution poses a significant global threat to both human health and environmental stability, acknowledged by the World Health Organization as a leading cause of non-communicable diseases (NCDs) and a notable contributor to climate change. This chapter offers a comprehensive review of the impacts of air pollution on health, highlighting the complex interactions with genetic predispositions and epigenetic mechanisms. The consequences of air pollution to health are extensive, spanning respiratory diseases, cardiovascular disorders, adverse pregnancy outcomes, neurodevelopmental disorders, and heightened mortality rates. Genetic factors play a pivotal role in shaping individual responses to air pollution, influencing susceptibility to respiratory illnesses and the severity of symptoms. Additionally, epigenetic changes triggered by exposure to pollutants have been linked to respiratory health issues, cancer development and progression, and even transgenerational effects spanning multiple generations. As countries, including the UK, pursue ambitious targets for reducing emissions, ongoing research into the complex interplay of air pollution, genetics, and epigenetics is essential. By unravelling the underlying mechanisms and advancing preventive and therapeutic strategies, we can protect public health and promote sustainable environmental practices in the face of this pervasive global challenge.

The purpose of this research is to provide a framework in which new data quality dimensions are defined. The new dimensions provide new metrics for the assessment of lecture video indexing. As lecture video indexing involves various steps, the proposed framework containing new dimensions, introduces new integrated approach for evaluating an indexing method or algorithm from the beginning to the end.

The emphasis in this study is on the fifth step of design science research methodology (DSRM), known as evaluation. That is, the methods that are developed in the field of lecture video indexing as an artifact, should be evaluated from different aspects. In this research, nine dimensions of data quality including accuracy, value-added, relevancy, completeness, appropriate amount of data, concise, consistency, interpretability and accessibility have been redefined based on previous studies and nominal group technique (NGT).

The proposed dimensions are implemented as new metrics to evaluate a newly developed lecture video indexing algorithm, LVTIA and numerical values have been obtained based on the proposed definitions for each dimension. In addition, the new dimensions are compared with each other in terms of various aspects. The comparison shows that each dimension that is used for assessing lecture video indexing, is able to reflect a different weakness or strength of an indexing method or algorithm.

Despite development of different methods for indexing lecture videos, the issue of data quality and its various dimensions have not been studied. Since data with low quality can affect the process of scientific lecture video indexing, the issue of data quality in this process requires special attention.

The global music industry has witnessed a tumultuous development in recent years with the emergence of music streaming services (MSSs) which played a pivotal role in rescuing the industry from persistent losses caused by piracy. MSSs are predominantly accessed via mobile applications making it imperative for the music streaming service providers (MSSPs) to focus on enhancing their app-based service quality. Furthermore, the sphere of music streaming has received only limited attention in research thus far, and to address this research void, this study contributes to the existing body of literature by introducing a scale to measure the service quality of music streaming apps, i.e. the MSASQ scale.

A mixed-method approach encompassing both qualitative as well as quantitative research techniques involving two-stage data collection was adopted. Items for the scale were collected via secondary (reports, articles, customer reviews, etc.) as well as primary sources (focus groups and interviews). The scale was tested on a sample of 1,129 Music Streaming App (MSA) users for reliability and validity.

A multidimensional MSASQ scale with 36 items measuring nine dimensions (hedonic quality, efficiency, user interface content, customer support, personalisation, ease of use, privacy/security and quality of ad exposure) was developed and validated.

The research endeavours to explore new perspectives on service quality within the music streaming industry, particularly in relation to the freemium model.

Agriculture emerges as a prerequisite for food tourism, and landscapes and lifestyles portray the traditions of rural people, places, and practices. This chapter explores the rural food tourist as a type of tourist who appreciates and values the authenticity and identity of food and beverage products based on their origin. The chapter analyses the relation between online marketing and the cheese tourist. Social media is increasingly regarded as a source of tourism information, and its use as a communication and marketing tool is crucial both at business and destination levels. In this sense, the digital presence of rural assets such as food is a significant way to promote destination identity to tourists. This chapter reviews the digital presence of 28 Spanish cheeses with Protected Designations of Origin (PDO) and Protected Geographical Indications (PDI) labels. The chapter explores digital content as a source of information and knowledge for the rural food tourist.

In a globalized world where environmental sustainability is a critical success factor, effective environmental communication takes precedence. The purpose of the present study is to analyse the evolution of climate change research, primarily in communication focussed journals, over the last decade.

Employing the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) protocol, a comprehensive analysis was conducted using research protocol on 374 studies in top ten high-ranking communication journals.

The results suggest that though effective communication strategies are crucial for generating climate awareness, contributions in communication-focussed journals remain limited. Most publications on this theme originate from the USA, Europe and Australia, with a notable lack of contributions from Asian publications. Five major themes, emerged representing the types of discussions taking place: “Green Advocacy in Corporate Communication”, “Green and sustainable IT infrastructure”, “Climate Narratives”, “Scientific discourses” and “Framing climate change”.

The research is original in the way it provides valuable insights for researchers, policymakers and practitioners aiming to enhance the impact of environmental communication.

Despite increasing awareness among fashion consumers about the positive environmental and societal impacts of sustainable fashion as a viable alternative to fast fashion, their actual adoption behavior often diverges. This study aims to empirically investigate consumers’ resistance barriers to sustainable fashion clothing.

This study utilizes innovation resistance theory to examine the barriers to consumer intention to buy sustainable clothing. The study collected a large sample (N = 745) of fashion consumers from the USA and India to test a research model.

The study finds that value, social risk, tradition and image barriers significantly reduce consumers’ intentions to buy sustainable fashion clothing. Additionally, the findings highlight that environmental concern moderates the relationship between social risk barriers and buying intentions.

The study findings contribute to the existing sustainable fashion literature by highlighting the main barriers for sustainable clothing consumption and emphasizing the crucial role of social elements, economic values and the image of sustainable fashion products in shaping consumer behavior within the fashion landscape.

The substantial expansion of technology and the efficacy of digital platforms in reaching young audiences have led to enhanced targeting and customization of promotional communications. Notwithstanding the expansion and efficacy of contemporary advertising platforms, scholarly attention has not kept pace with this domain of inquiry. This study aims to assess the antecedents of Google Shopping Ads (GSA) on intention to purchase behavior among the Generation Y and Z cohorts.

The current study used a quantitative approach and snowball sampling technique to gather primary data via a questionnaire and Google Forms, which resulted in the collection of 5,808 questionnaires among the cohort members. A principal component analysis and multigroup confirmatory multigroup structural equation modeling (between Generation Y and Z) were used to assess the research data and model.

The results show positive trust and perceived value associations with intention to purchase, particularly among Generation Y and Z consumers. The findings also show negative irritation, product risk and time risk associations with intention to purchase, especially among the Generation Y cohort, which indicates that young consumers generally do not observe perceived risk due to the usage of GSA.

GSA will continue to grow and become an increasingly important integrated marketing communications tool as the digital landscape develops. It can be concluded that young consumers show a high degree of perceived value and low levels of perceived risk due to the use of GSA. This study, therefore, promotes improved understanding among academics, marketers and businesses of search engine advertising among young cohorts of consumers (Generation Y and Z) in a developing country context.

This paper aims to provide a comprehensive overview of the current status and future research agenda of citizen journalism through a computational analysis lens. It explores how technological advancements and evolving media consumption patterns have shaped the rise of citizen journalism, democratizing news production via social media and digital technologies and impacting traditional journalism and societal discourse.

A bibliometric analysis was conducted on 1,325 peer-reviewed articles related to citizen journalism sourced from the Dimensions.ai database. The study used the Biblioshiny app of the bibliometrix software and VOSviewer for network visualization. The analysis examined publication trends, citation patterns, major contributors, influential journals and main research directions to map the intellectual landscape of citizen journalism research.

The analysis revealed significant growth in citizen journalism publications starting from 2004, with peak years in 2021–2023. Key researchers and journals were identified, highlighting both sustained and emerging contributions. Co-occurrence of keywords indicated a focus on qualitative methods and the credibility of citizen journalism. International collaboration varied, with robust intra-country publications in the USA and high intercountry collaboration rates in Austria and Australia. European and North American universities, particularly the University of Seville and the University of Vienna, were noted for their significant contributions.

To the best of the author’s knowledge, this study is one of the first to apply comprehensive bibliometric techniques to the field of citizen journalism, offering a quantitative assessment of global research trends.