Business Model Proposal for Agriculture and Tourism Business Sectors Supported by ICT System in Nepal through Systematic Business Analysis Process

Abstract

Nepal is the least developed country in the world. Most people live in rural areas that have poor economic conditions. With limited job opportunities within the country, there is a massive outflow of labor overseas, and we must depend on remittances for our daily lives. To resolve this problem, an effective business model is needed to create sufficient job opportunities and improve the economic situation. Many researchers suggest that improvement of the agricultural sector and investment in tourism would facilitate job opportunities and assist the importance of an ICTbased business model; however, none of them proposed a model with a systematic methodology. Therefore, a series of business analyses were conducted to investigate the overall scenario. First, we conducted an (i) PESTLE analysis, (ii) SWOT analysis followed by case studies, and (iii) 3C analysis. The following results were obtained: (i) PESTLE analysis and (2) SWOT show major strengths in "Agriculture and Tourism"; a massive mobile connection rate exceeding the total population and a high primary education completion rate, indicate the possibility of agribusiness and tourism businesses, but the demand and supply chain is fragmented due to a lack of information. To understand the actual situation, I investigated two specific areas Dang, which is known as the grain basket of Nepal, and Pokhara City, a melting point of tourist destination for mountaineering and adventures activities along with enormous trekking sites holding massive consumption agricultural product (iii) 3C analysis helped to figure out the key success factor of ICT businesses to link production and consumption sites. Therefore, I proposed a mobile application-based business model using the business model canvas. Our goal is to link the demand of tourists and farmers food supply and connect them to technical support for modern farming techniques for mass production and cultivation by using ICT technology such as mobile applications.