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This paper holds considerable importance in the educational dynamics specifically ChatGPT as generative multimedia in English language writing pedagogy and presents a unique lens, as it uses a narrative literature review to view this cutting-edge topic. This paper compiles the knowledge and information already available regarding the views and integration of ChatGPT in English writing pedagogy. This review attempts to determine the potential that ChatGPT provides for improving pedagogical practices and facilitating individualized learning by looking at the experiences and viewpoints of educators. Simultaneously, it addresses the crucial challenges educators must overcome to optimize the advantages of artificial intelligence (AI) while preserving academic fairness and honesty. The ultimate goal of this paper is to offer a nuanced understanding of ChatGPT’s role in education, especially in English language writing pedagogy, educating researchers, teachers and policymakers on how to integrate generative multimedia successfully AI into teaching and learning and aiding in the creation of inclusive and more effective teaching strategies.

The review was done using a narrative approach by analyzing the latest international and national studies, research papers, blog posts, newspaper articles and documentaries, and by collecting the data, facts, figures and pictures. This narrative literature review approach provides a contextual understanding of how different English language teachers view ChatGPT in English writing pedagogy allowing for a comprehensive synthesis of data about its opportunities and challenges as well. It also helps in finding patterns and gaps in the body of knowledge, directing future studies and emphasizing areas that require more research, which is important for this new cutting-edge invention. The narrative approach, in contrast to systematic reviews, enables a detailed qualitative analysis that is necessary for delving into complex topics. This review offers useful insights into the prospects and practical challenges of integrating ChatGPT in English language writing pedagogy by concentrating on the experiences of teachers. The narrative literature review is a useful and relevant means of comprehending and using AI in educational settings since its ultimate goal is to synthesize current knowledge and provide practical recommendations for teachers, students, administrators and, last but not least, policymakers for the effective integration of ChatGPT as generative multimedia specifically in the English language writing pedagogy.

Grounded on findings, it is essential to mention here that ChatGPT holds immense value in terms of English language writing pedagogy. The findings deal with the three research questions: each research question has a main theme followed by sub-themes about the views of teachers on ChatGPT integration into English writing pedagogy, its benefits and, last but not least, challenges; however, very few traces of AI have been found in the early most downloaded Language learning apps, but ChatGPT covers it all with the features like personalized learning, contextually adaptable feedback, human-like conversational skills and preparation of standard tests, which make ChatGPT stand apart and stand tall in the race of new AI inventions. On the contrary, the paper identifies vital challenges associated with ChatGPT. First, there is a severe concern that students’ creativity may be at risk. Second, the concern of data privacy is a critical consideration. Finally, dealing with the trust issue of English language teachers regarding the use of ChatGPT for English language writing pedagogy and, last but not least, the paper also talks about low digital literacy as an additional challenge to integrating ChatGPT in educational settings. The incorporation of ChatGPT is not only a new trend but also a door to future AI wonders, so the education community needs to make the most of it.

The paper has broad implications that address multiple aspects of educational theory, practice, policy and future research when incorporating AI systems such as ChatGPT into English language writing pedagogy. The findings imply that ChatGPT can result in more dynamic and customized learning experiences, which has important implications for improving English language writing pedagogy with the integration of ChatGPT. AI can help teachers customize lessons to each student’s needs, which could increase student engagement in writing classes and improve learning results. Additionally, for the school administration and policymakers, the integration of ChatGPT depends upon access to smooth internet connection and other resources needed for effective learning of the students. Policymakers can develop policies as per the changing needs of the hour by providing professional development training to the teachers for the incorporation of AI inventions such as ChatGPT for English language writing pedagogy. Furthermore, the research also highlights significant ethical and policy issues, especially those dealing with academic integrity. Policies by the administration and teachers must be developed to stop students from misusing ChatGPT and to guarantee that AI tools are applied morally and responsibly in educational contexts because students can utilize the tool to complete assignments in an unethical manner.

This narrative literature review is unique as it provides insights into the new invention of OpenAI ChatGPT from the education perspective, specifically about the teaching of English language writing pedagogy, and offers some exciting revelations that have not been done previously.

This study aims to analyze the impact of political connection on the firm’s financial performance in presence of corporate governance.

The study utilizes panel regression analyses (OLS) and margin and contrast analysis techniques on a data set of Pakistan’s listed companies ranging from 2012 to 2021. For political connection, an aggregate score was calculated from political ties at the central, provincial and local level. Corporate governance was measured through an index using principal component analysis technique capturing its attributes comprised of board size, board tenure, board independence, board gender diversity, CEO duality, audit committee tenure and audit quality.

The study finds that politically affiliated individuals can exploit the wealth of firms. It also supports the positive role of corporate governance in augmenting the firm financial performance and further confirms that the presence of robust corporate governance practices can help mitigate the risk posed by the political connection.

The study provides valuable information to investors and offer insights into the investment opportunities available in nonfinancial sectors and identifies areas where investments may not yield favorable results. It provides solutions to the companies to effectively compose their boards and offset the adverse effect of political connection and capitalize on its potential benefits. Investors can draw upon these insights to inform and facilitate their investment decision-making processes. By gaining a better comprehension of the impact of political associations on corporate governance and performance, regulators and policymakers can better design policies that strike a balance between preventing abuses while still allowing firms to reap the benefits of political connections.

To the best of the authors’ knowledge, this is the first study that delves into an analysis to mitigate viz-a-viz offset the adverse effect of political affiliations by implementing robust practices of corporate governance. Further, in lieu of a binary indicator variable of political connection, this study applies a different approach to quantify the varying intensities of the political connections, which is a nascent method. It further undertakes margin & contrast analysis and also analyzes effect of different levels of political connections as well as the role of various attributes of corporate governance, which offer a novel contribution.

The purpose of this study is to find out the relationship between the corporate social responsibility (CSR) and green performance (GP) of Pakistani manufacturing SMEs. This study further explores the mediating roles of green human resource management (GHRM) and green innovation (GI) in the relationship between CSR and GP.

A survey method was used to collect data from manufacturing SMEs. Data were collected from 366 respondents working in higher positions and playing a decisive role in the organization. The collected data were analysed by applying structural equation modelling with the help of smart PLS.

The study shows that CSR (customers, society, employees) helps significantly improve a firm's GP. Furthermore, this study explores how GI (process, product) and GHRM (skills development, motivation and involvement) mediate the relationship between CSR and GP.

This study is limited to manufacturing SMEs and a single developing country, Pakistan. However, this study will significantly contribute to the existing literature on GP and help manufacturing firms’ top management take steps to minimize carbon emissions and improve GP. Furthermore, this study will also provide valuable insights to government agencies in the Asian context to adjust their policies regarding the manufacturing sector to reduce pollution in the country.

As a pioneering study encompassing CSR, GHRM, GI and GP under one research paradigm in an emerging economy environment, the current research provides substantial additions to the literature on the impact of CSR on GP.

Based on upper echelons theory and social contagion theory, we investigate how environmental leadership affects GIC via green human resource management (GHRM) and examine the moderating role of environmental climate.

We conduct hierarchical regression and use the bootstrap method to analyze the two-waved data from 317 Chinese manufacturers in order to verify the hypotheses.

The results indicate that GHRM mediates the impacts of environmental leadership on green human capital, structural capital and relational capital. In addition, environmental climate strengthens the positive impact of environmental leadership on GHRM.

Our study enriches the literature on GIC by uncovering the “black box” between environmental leadership and GIC, providing a logical framework opposite to mainstream GIC research, and expanding the boundary condition for GIC accumulation. This study provides more logical paths for enterprises and governments to increase the accumulation of GIC and promote green intellectual economy development.

This paper aims to investigate the influence of air and rail transportation on pollution in Turkey from 1970 to 2020.

Fourier Autoregressive Distributive Lags (ADL) and Fourier Fractional ADL cointegration tests (Banerjee et al., 2017; Ilkay et al., 2021) are employed to analyze the relationship be-tween the variables. Cointegration tests that take into account soft transitions under structural changes are implemented. Structural change issues are crucial for this topic since the changes in countries’ environmental policies and transportation habits are shaped by the decisions taken in relation to environmental regulations. Finally, for robustness purposes, we tested the estimated equation with a completely different methodology. Thus, a Machine Learning (ML) analysis is conducted, through a Ridge Regression (RR).

The findings obtained by applying Fourier Autoregressive Distributive Lags (FADL) and Fourier Fractional ADL cointegration tests, which can control for structural changes, reveal the existence of a long-term relationship between the variables. In addition, FMOLS estimates emphasize that economic growth and air transport can lead to increased pollution in the long run, while rail transport reduces it. Moreover, the statistically significant trigonometric terms indicate the existence of a smooth structural change among the variables. Robustness checks are performed through a Machine Learning (ML) analysis, which roughly confirms the previous results.

To our knowledge, existing research in Turkey focuses mainly on road transport, while the impact of rail and air transport on pollution has not yet been investigated. As such, this study will be a significant addition to the academic literature.

This study aimed to explore the adaptations and perspectives of hotel managers regarding green and smart hotel technologies within the context of sustainability.

A comprehensive literature review guided the formulation of this study, followed by face-to-face, semi-structured interviews with hotel managers. A total of 17 prepared questions were finalized after examination by two expert academicians. The responses were analyzed using qualitative research methodology and the results were weighted using the step-wise weight assessment ratio analysis (SWARA) method.

Interviews with sustainability and operational managers yielded insights into environmentally friendly practices and strategies such as reducing energy and water consumption, waste and chemical reduction, supporting local entrepreneurs and adopting smart technologies. These factors are crucial in eco-friendly hotels. According to the SWARA analysis, 'reducing energy consumption' is the most effective criterion.

This study offers insights into green and smart hotel management by focusing on the perspectives of hotel managers with a small sample. In future studies, research with larger samples on customer perspectives and the effect of hotel selection is recommended.

This study offers insights to hotel managers on energy conservation and customer satisfaction enhancement through green and technological applications. These technological applications can improve hotel service quality and provide personalized experiences, fostering customer loyalty.

This pioneering study focuses on the intersection of green and smart practices in hospitality. By intertwining the often separately discussed concepts of “green” and “smart,” this study presents a novel approach to the sustainability practices in the hospitality industry, holding a key position, especially in Turkey. Implementing these concepts can yield environmental and economic benefits, offering invaluable insights to hotel managers and policymakers into integrating smart technologies with sustainability.

The present research investigates the role of product availability, environmental concern, and social media concerning the intention to purchase green food products by utilising the extended theory of planned behaviour framework in a developing economy.

A self-administered questionnaire collected information from 412 adults and educated consumers from Vadodara city in India. The questionnaire items were used to collect data from previous studies and further validated using confirmatory factor analysis. The data were further analysed using partial least square-structural equation modelling.

The study findings indicated that attitude and perceived behavioural control impact the purchase intention regarding green food products, while subjective norms were found not supportive. At the same time, product availability influences perceived behavioural control and increases the volitional control amongst consumers. Moreover, social media positively impacts the theory of planned behaviour’s key constructs.

The outcomes of the present study provide marketing managers with enhanced insight into the relationship between consumers' perception and green food product consumption in the context of social media influence. The findings could help green food producers evaluate the extent of consumers' intentions to buy their products in developing countries.

To the best of the researchers’ knowledge, the present research is amongst the pioneers in India that focuses on the variables of the theory of planned behaviour, which led to knowing the role of green food availability and social media influence in green food products. At the same time, the focus on purchase intention concerning green food products adds to the study’s uniqueness.