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The main objective of this study is to present a compact overview analysis of intellectual property laws, specifically copyright-related provisions applicable to generative artificial intelligence (GenAI) in the Indian context.

The paper adopts a qualitative research methodology that is grounded in secondary sources of information. The data were gathered from the Scopus database for a systematic literature review.

GenAI technology has given rise to numerous questionable issues within the domain of intellectual property that need resolution in the form of policy solutions. Based on the findings of this paper, it can be deduced that Indian copyright laws are not adequate for addressing the rights pertaining to AI and its creations and outputs. Different countries like the United States, European Union and China have approached the regulation and protection of AI-generated content within the realm of copyright law in different ways. The future of law, as it has been established thus far, seems to be on a path of substantial evolution.

The study has implications for policymakers globally as there is a need to create feasible policy solutions that can efficiently safeguard against risks stemming from large language models (LLMs) and other GenAI models, while also promoting innovation, technical advancement and adoption.

The paper discusses the copyright-related issues in GenAI technology in the context of an emerging economy, India.

This study examined the causes of cheating and plagiarism in higher education from a global perspective and developed strategies for reducing these behaviours.

The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis reporting guidelines to select 26 research articles published between 2016 and 2024.

Cheating and plagiarism are caused by laziness, time constraints, lack of confidence, difficult exams, excessive assignments, fear of poor grades, and motivation to achieve higher grades. However, students are often unaware of the effects these behaviours can have on their academic and professional careers. Therefore, in addition to regularly updating academic honour codes following national laws and regulations, higher education institutions need to introduce training programmes and workshops to raise students’ awareness of the negative consequences of cheating and plagiarism, enhance their writing skills, and promote positive attitudes.

The study findings may assist policymakers and stakeholders in higher education institutions in deciding whether to implement academic integrity education programmes and modify honour codes following government laws and regulations. Additionally, this study contributes to the existing literature on cheating and plagiarism and will help higher education institutions address the root causes of these behaviours.

This study contributes valuable insights to the literature on cheating and plagiarism.

The current academic publishing model, in which researchers rely significantly on multinational publishing companies to disseminate their work, has implications for knowledge enterprise both in terms of knowledge production and distribution. This study aims to provide a critical reflection on the academic publishing model and how it works, particularly in light of the rise of open access publishing and the growing analytics focus of publishing companies and discusses the impact on knowledge equity.

This exploratory essay offers a critical analysis of the impact of the current academic publishing model on research practices. The discussion provides a foundation for the argument that knowledge equity is essential to social justice.

To effectively fulfil the transformative aims of the interdisciplinary research community within social and environmental accounting, it is imperative to establish equitable access to published research.

This essay opens space for discussion of the current publishing model, given its dominance of the knowledge enterprise. It outlines some of the implications of this model for knowledge equity and suggests strategies for fostering a more inclusive and accessible dissemination of scholarly work.

Innovation is necessary to ensure consistent economic growth and to meet the global competition. In view of this, the purpose of this study to check the effect of governance quality as a tool for fostering innovation performance.

The empirical analysis was arranged on 20 year’s (2000–2019) data from South Asian economies. Subject to the existence of cointegration, the authors use the fully modified ordinary least square model for regression analysis and check the robustness through robust least square model.

The empirical findings infer that all dimensions of governance have a positive significant impact on both research and development expenditures and trademark applications jointly known as innovation performance. In addition, the empirical analysis discloses the positive effect of all control variables, including FDI inflow, banking sector development, economic growth, ease of doing business index and government subsidies on innovation activities. The analysis confirms the “grease the wheel” role of governance in fostering innovation.

It is apparently recommended to strengthen the exercise of better governance to harvest better innovation scores.

This study advocates the positive role of individual dimensions of governance recommended by existing literature and complements the literature by jointly exploring the impact of all governance dimensions on overall innovation performance.

The applications of Artificial Intelligence (AI) in various areas of professional and knowledge work are growing. Emotions play an important role in how users incorporate a technology into their work practices. The current study draws on work in the areas of AI-powered technologies adaptation, emotions, and the future of work, to investigate how knowledge workers feel about adopting AI in their work.

We gathered 107,111 tweets about the new AI programmer, GitHub Copilot, launched by GitHub and analysed the data in three stages. First, after cleaning and filtering the data, we applied the topic modelling method to analyse 16,130 tweets posted by 10,301 software programmers to identify the emotions they expressed. Then, we analysed the outcome topics qualitatively to understand the stimulus characteristics driving those emotions. Finally, we analysed a sample of tweets to explore how emotional responses changed over time.

We found six categories of emotions among software programmers: challenge, achievement, loss, deterrence, scepticism, and apathy. In addition, we found these emotions were driven by four stimulus characteristics: AI development, AI functionality, identity work, and AI engagement. We also examined the change in emotions over time. The results indicate that negative emotions changed to more positive emotions once software programmers redirected their attention to the AI programmer's capabilities and functionalities, and related that to their identity work.

Overall, as organisations start adopting AI-powered technologies in their software development practices, our research offers practical guidance to managers by identifying factors that can change negative emotions to positive emotions.

Our study makes a timely contribution to the discussions on AI and the future of work through the lens of emotions. In contrast to nascent discussions on the role of AI in high-skilled jobs that show knowledge workers' general ambivalence towards AI, we find knowledge workers show more positive emotions over time and as they engage more with AI. In addition, this study unveils the role of professional identity in leading to more positive emotions towards AI, as knowledge workers view such technology as a means of expanding their identity rather than as a threat to it.

This descriptive case study offers an overview of the Free Library of Philadelphia’s (Pennsylvania, USA) response to the COVID-19 pandemic and its challenges. The study details how staff at the Free Library pivoted to create and deliver virtual programs during the pandemic. The timing of that pivot invoked successes and challenges to determine how the Free Library could remain flexible and relevant post-pandemic. The chapter briefly examines how library administrators attempted to address the needs of their racially diverse staff in an equitable and inclusive way in light of increased racial tensions that arose in Philadelphia during the pandemic. The chapter also notes a few of the Free Library’s best efforts to equip front-line librarians to be aspirational, creative, and, at times, grassroots in how they served the public during and beyond the pandemic. Finally, this descriptive case study will share some of the Free Library’s lessons learned and best practices developed during the pandemic.

The usage of AI-powered chatbots and virtual assistants facilitates seamless communication, offering instant responses to inquiries and enhancing customer satisfaction. In Japan, the hospitality industry is at the forefront of this AI-driven transformation and through collaborations with technology companies, hotels are deploying AI-powered concierge services, smart room automation, and language translation systems to cater to diverse guest needs. The integration of AI in Japan's tourism sector not only enhances operational efficiency but also showcases the country's commitment to innovation and delivering exceptional customer experiences. As Japan embraces AI in its hospitality industry, it navigates the delicate balance between leveraging technology and preserving human interaction and by combining the efficiency and accuracy of AI with the warmth and personal touch of human hospitality, Japan aims to redefine the future of tourism. Moreover, AI streamlines operations by automating repetitive tasks, optimising resource allocation, and improving efficiency in areas such as reservation management, inventory control, and demand forecasting. However, along with these benefits, there are significant challenges to consider. Privacy concerns arise as AI systems collect and process personal data, necessitating robust security measures to protect sensitive information. Ethical considerations must also be addressed, as the use of AI raises questions about transparency, bias, and accountability. Furthermore, while AI enhances efficiency, there is a concern about losing the human touch that has long been a hallmark of the hospitality industry. Balancing the benefits of AI with maintaining personalised and authentic guest experiences becomes a crucial challenge.

Given that Indian languages in general are under-represented on the internet and that languages of minority linguistic groups find very little space on digital platforms, it is imperative for institutions such as libraries to cater to smaller communities and their educational needs while also reaching out to them in their own languages. This study aims to deliberate on strategies for enlisting community support for gathering diverse learning resources in different languages and for enlisting participation in activities such as crowdsourcing in initiatives such as annotations and transliteration.

This paper calls for interventions that imagine and create infrastructure for the flourishing of smaller libraries that can draw from and feed into large-scale national and international libraries. Offering a conceptual framework to rethink the country’s approach toward minor languages, it first offers an overview of policies and initiatives relevant to the concerns of minor languages in digital libraries in India. Based on the policy analysis, it then goes on to suggest starting points for policy designers and custodians of libraries to help them work toward better representation of languages in their resources.

The existing frameworks analyzed here for the greater or representation of minor Indian languages reveal a culture of silence toward the issue of language. With some advocacy, these frameworks can be mined to craft different ways that are critical not just for enriching libraries but also for preservation of cultural heritage of the communities concerned, thus adding a larger social dimension to the question of access.

While a lot of socio-political discourse on minority languages in India exists, this study pushes for their bearing on digital libraries, educational frameworks and cultural heritage.