Earticle

Demand forecasting is a crucial task for an online retail where has to manage daily fresh foods effectively. Failing in forecasting results loss of profitability because of incompetent inventory management. This study investigated the optimal performance of different forecasting models for a very short shelf-life product. Demand data of 13 perishable items with aging of 210 days were used for analysis. Our comparison results of four methods: Trivial Identity, Seasonal Naïve, Feed-Forward and Autoregressive Recurrent Neural Networks (DeepAR) reveals that DeepAR outperforms with the lowest MAPE. This study also suggests the managerial implications by employing coefficient of variation (CV) as demand variation indicators. Three classes: Low, Medium and High variation are introduced for classify 13 products into groups. Our analysis found that DeepAR is suitable for medium and high variations, while the low group can use any methods. With this approach, the case can gain benefit of better fill-rate performance.

Considerable agreement exists about the importance of promoting entrepreneurship in both developed and developing countries. In less developed countries, governments see entrepreneurship as a way to stimulate economic development and tackle serious economic and social challenges. So how can countries encourage young people to become entrepreneurs? Research confirms that intentions play an important role in the decision to start a new firm and many factors influence that intentions. The purpose of the study was to investigate the antecedents to entrepreneurship behavior with particular attention to moderating role of social support and entrepreneur self-efficacy. The study covered 116 business students of undergraduate and post graduate level studying under different universities in Kathmandu, Nepal. The questionnaire for data collection was distributed in college groups via WhatsApp and viber with the support and permission from the college administration. The study design used was correlational with a sampling procedure of convenience. The study only showed the impact of attitude to entrepreneurship behavior as well as moderating effect of social support was also observed.

This study aims to find satisfactory or unsatisfactory factors that startups either currently being occupied in or already left the business incubator made in a survey with a total of the sixteen firms responded. Among the sixteen, ten were the firms that have occupied in the business incubator and the six firms left the incubator. Mostly, the firms were satisfied with the incubator’s roles with showing 4.4 satisfaction. The support for business facilities were the number one factor for the incubator has to do with the firms had positive answers from the firms. However, support for the production or sales showed less satisfaction compared to business facilities, a need that the incubator should improve the roles for the future. The results of this study can contribute to the development of medium and long-term plans for the business incubator.