• Energy Research

This study aims to determine whether or not the impact of business size on business model building and business performance perceived owner. This research used a quantitative-qualitative approach with Survey Method. The study was conducted in Apparel industry in Bandung City in 2017. The business model used to evaluate is Business Model Canvas (BMC). Chi-Square and Mann-Whitney U tests were used to test the differences between micro business and small business on each of BMC building blocks. The results showed that BMC building blocks between Micro Business and Small Buisness differed on two blocks, ie Channels and Revenue Streams, while the other seven blocks were not different significantly. It can be interpreted that the business model on Micro Businesses is generally slightly different with Small Businesses, or in other words the business strategy is relatively the same. However, the Business Model applied to Small Business with excellence in marketing channels and revenue streams compared to Micro Business, has resulted in a higher level of owner satisfaction on the performance of its business.

Although 5G has been deployed in several countries, stakeholders are still hesitant to adopt the technology. Massive investment and collaboration become prerequisites for this technology to be successfully implemented and bring the most benefit. This research discusses the diffusion of 5G technology to personal end-users and industries and simulates the collaboration model. The simulation analyzes key essential indicators for stakeholders, such as the number of adopters, diffusion time, and total revenue. This study follows the pragmatism philosophy and abductive approach, integrating qualitative and quantitative research, resulting in the diffusion model. The qualitative data was obtained through focus groups and semi-structured interviews with key sources, while quantitative data from 437 people were gathered through a questionnaire. The simulation resulted in a 34% improvement in diffusion time, leading to faster investment return for industry players. This study offers an alternative paradigm compared to the diffusion of innovation theory, especially for new technology distribution. Finally, this research suggests that 5G stakeholders adopt the proposed collaboration strategy to achieve better business indicators.

Currently, the adoption of electric vehicles (EV) draws much attention, as the environmental issue of reducing carbon emission is increasing worldwide. However, different countries face different challenges during this transition, particularly developing countries. This research aims to create a framework for the transition to EV in Indonesia through Agent-Based Modeling (ABM). The framework is used as the conceptual design for ABM to investigate the effect of agents’ decision-making processes at the microlevel into the number of adopted EV at the macrolevel. The cluster analysis is equipped to determine the agents’ characteristics based on the categories of the innovation adopters. There are 11 significant variables and four respondents’ clusters: innovators, early majority, late majority, and the uncategorized one. Moreover, Twitter data analytics are utilized to investigate the information engagement coefficient based on the agents’ location. The agents’ characteristics which emerged from this analysis framework will be used as the fundamental for investigating the effect of agents’ specific characteristics and their interaction through ABM for further research. It is expected that this framework will enable the discovery of which incentive scheme or critical technical features effectively increase the uptake of EV according to the agents’ specific characteristics.