A smart city is a future solution to better management of the city and people. Recent researches have highlighted the necessity of smart city projects to improve urban lifestyle for the growing population. Bangladesh is one of the most densely populated countries in the world. Despite being a developing country, Bangladesh still lacks a smart city. A smart city framework is required to ameliorate urban lifestyle. The purpose of this study is to address a conceptual framework for a smart city project focusing on sustainable development in Bangladesh. The research approach follows an exhaustive literature review to collect suitable information to design the new smart city framework. Necessary information to design a smart city framework such as the core smart city dimensions and the sustainability indictors are identified through the thorough literature review. From the extracted information a new smart city framework is developed focusing on sustainable development. The findings of this study offer a clear overview of the smart city core dimensions and factors that influence sustainability in a smart city. The research presents a smart city framework that can be followed in a developing country like Bangladesh.

Recent developments in the field of technology have led to a renewed interest in the field of smart agriculture. The current smart agricultural system produces and depends on large amounts of data, yet, it is hard to process the vast amounts of data using traditional data analysis systems. Big Data technologies have attracted much attention among researchers due to their potential to handle large amounts of data. Thus, for numerous possibilities and powerful data processing capabilities, Big Data continues to become a hot topic of research in the agricultural field. This is indicated by the existing several pilot projects as well as various investigations that have been performed in the Big Data area. Therefore, this study attempts to review the recent trends of Big Data technology in the field of precision agriculture. The research focuses on the latest applications of Big Data technology in multi-disciplinary agri-area domains. A total of 25 recently published studies about Big Data in agri-areas were selected for the review process after proper screening. The selected papers were categorized according to their fields of study, purposes, methods applied, as well as their contributions in the agri-field. The findings indicated that Big Data application areas are expanding, and the impacts are significant in precision agriculture.

As a developing country, Bangladesh is still less advanced in using the latest technologies such as websites, e-commerce, high-speed internet, point of sales (POS), etc. which is a great barrier in SME development. Proper implementation of technologies can achieve the full potential of this valuable sector. This paper aims to find out the feasibility factors of the implementation of a web-based point of sales system for SMEs in Bangladesh. The implementation of such kinds of systems will help SME entrepreneurs to achieve more potential from their businesses. A comparison of ICT developments, technologies, and POS system adaptation scenarios between Indonesia and Bangladesh is presented based on secondary data sources. The study indicates the current challenges to implement new technologies in SME sectors. The research found out the recent technological development conditions in Bangladesh. The results indicated that the implementation of a web-based POS system is feasible for SMEs in Bangladesh if the challenges can be successfully overcome. The authors suggest priority steps be taken by the government and private agencies for POS system adaptation by the SMEs in Bangladesh.