Purpose: This paper aims to examine the opportunities and challenges of using ChatGPT in higher education. Furthermore, it is also discuss the potential risks and plunders of these tools.Design/methodology/approach: The paper discuss the use of artificial intelligence (AI) in academia and explores the opportunities and challenges of using ChatGPT in higher education. It also highlights the difficulties of detecting and preventing academic dishonesty and suggests strategies that universities can adopt to ensure ethical and useful use of these tools.Findings: The paper concludes that while the use of AI tools, ChatGPT in higher education presents both opportunities and challenges. The universities can effectively address these concerns by taking a proactive and ethical approach to the use of these tools. This paper further suggests that universities should develop policies and procedures, provide training and support, to detect and prevent cheating intentions.Originality/value: The paper provides insights into the opportunities and challenges of using ChatGPT in higher education, as well as strategies for addressing concerns related to academic dishonesty. The paper further adds importance to the discussion on the ethical and responsible use of AI tools in higher education.

The Technology Acceptance Model (TAM) is widely used in many areas but is rarely applied to determine the link between tourists’ perceptions of tourism development and environmental sustainability. Therefore, this study aimed to (1) explore the relationships among tourism development, tourists’ perceptions, and environmental sustainability, (2) examine the mediating role of blockchain technology in these relationships, and (3) analyze the use of the TAM for sustainable practices in tourism. Data were collected from tourists on their perceptions of the impact of tourism on the environment, their use of information technology (IT) during their visits, and their willingness to pay for sustainable tourism practices. The data collected from 473 respondents were analyzed using partial least squares structural equation modeling (PLS-SEM). The findings reveal that tourism development and perceptions have a significant impact on environmental sustainability. Furthermore, blockchain technology directly affects environmental sustainability and partially mediates the relationship between tourism development and tourists’ perception constructs on environmental sustainability. This study contributes to the understanding of the relationships among tourism development, tourist perceptions, and environmental sustainability, analyzed through the lens of the TAM. Although the TAM has been used in several technology adoption and behavioral studies, this is its first application in the context of sustainable tourism, specifically used in exploring perceptions of environmental sustainability, limited to the environmentally rich Gilgit-Baltistan region in Pakistan.

Sustainable land use is one of the emergent mountain concerns which requires immediate policy and regulatory attention. This study examines land use change and land prices at three different 5-yearly intervals: 2019, 2014 and 2009 respectively in three urbanizing districts of Gilgit-Baltistan Pakistan. Empirical evidences are gathered by using mixed-method approaches. Findings of the study suggest that households’ land holdings of cultivated and uncultivated patches have declined significantly whereas, built-up area continued to rise over the years. Simultaneously, value of land in the urban centers has increased exponentially. As a result, sustainability of future economic benefits and ecosystem health becomes a major challenge for local community and policy makers. Therefore, this study recommends effective and sustainable land use planning with the emphasis on legislation, policy making, judicious and healthy use of ecosystem services and local ownership synced with customary laws and traditional knowledge.

The newly elected government of the Pakistan considered corruption as a main hurdle in long-term development of the country on one hand. On the other hand, it is put emphasis on enhancing remittances to maintain Marco-economic stability in Pakistan. Therefore, the aim of this study is to highlight the effects of remittance, quality of governance and financial development in Pakistan for the time 2000 to 2016 using Ordinary Least Square Method (OLS). The aftermaths of the study has shown the positive influence of remittance, quality of governance and financial development on economic development in Pakistan. Conversely, as expected the sign of inflation is negative with in-significant effect. Furthermore, the present study has categorized financial development into banking sector and stock market development to explore their effects separately. For this purpose, two indicators have chosen for banking sector and two for stock market development. Lastly, this paper uses various diagnostic tests to check the various econometric issues in the given models. The results of the diagnostic tests have showed that residual is normally distributed, homoscedastic and absence of serial correlation in all the given models. Moreover, descriptive statistics also shows that variables of present study are normally distributed. In sum, based on the findings this research recommends that by improving the quality of the governance and by increasing the remittances long-term economic growth is possible in Pakistan. In addition, financial development is also an important determinant of growth in Pakistan. Therefore, government focus on eradicating corruption and increasing remittances are the right policies for economy of Pakistan in the long run.