Mobile Cellular Technology Forecast for the Indonesian Telecommunications Industry

Current mobile telecommunications deployment in Indonesia, based on 2G, 3G and 4G technologies, lags behind many other developing countries because of Indonesia’s larger territory. This paper presents recent data on revenue growth (%) and the number of Base Transceiver Stations (BTSs) in Indonesia, divided among 2G, 3G and 4G technologies, and forecasts future revenue growth and numbers of BTSs for the next few years. The results show that, while revenue growth from 2G operation is decreasing and 4G deployment is significantly increasing, there are still significant revenues from 2G services and many 2G BTSs in operation at the end of the forecast period, making it difficult to shut down the 2G networks in the near future.

Technology forecast: a case study in Daiken company

Purpose This paper aims to describe how the technology forecast process occurs at a technology-based company named Daiken, a Brazilian electronics industry, located in the state of Parana. The study helps to clarify the context that tech-companies in Brazil face when trying to forecast new technologies. Design/methodology/approach The paper opted for a case study, in a qualitative and descriptive approach. Primary data were collected through a semi-structured interview and non-participant observation. Secondary data were generated through documentary research. Findings Outcomes indicate that, for the studied case, technology forecast practices are adopted in an informal and unsystematic way, best aligned to the nature of competitive intelligence. Research limitations/implications Because of the chosen research approach, the results may lack generalizability. Therefore, researchers are encouraged to test the propositions further. Practical implications The paper includes implications for the adjustment of technology forecast tools to the reality seen in emergent nations like Brazil. Originality/value This paper fulfills an identified need to study how to conduct the technology forecast processes in small and mid-tech-companies in Brazil.

Using a semantic wiki for technology forecast and technology monitoring

Purpose – The purpose of this paper is to present extensions of Semantic MediaWiki for the purpose of technology forecast and technology monitoring. The user friendliness and applicability of the components is evaluated by task-based user studies. Design/methodology/approach – Based on the requirements given by potential end users (technology experts), visualization possibilities were designed and implemented. Potential users used the new features of technology forecast and monitoring within a semantic wiki and were controlled regarding the effectiveness. Findings – Although semantic wikis are ideal tools for knowledge management in industry settings, especially due to their user-friendly way of storing and retrieving knowledge, they have rarely been used for technology forecast and monitoring purposes so far. The authors show that the additional requirements for such purposes can be met and provide established technology analysis possibilities within Semantic MediaWiki. In that way, a new application area of Semantic MediaWiki is introduced. Originality/value – Tools and techniques for Semantic MediaWiki are presented, opening the application area of Semantic MediaWiki for technology and innovation management. The research provides evidence that the open-source implemented visualization and storage techniques can be applied in real-world settings, where so far mainly costly dedicated software has had to be used.

Based on GIS and MATLAB Technology Forecast the Dynamic Variation of the Groundwater in Minqin Oasis

This paper carried out interpolation processing to the groundwater hydrology data of Minqin oasis from 2000 to 2009, via ArcGIS software. Analyzed the result, it was concluded that the distribution rule about spatio-temporal distribution and change of the groundwater depth and mineralization. Using MATLAB the program language, the grey forecasting model was well fitted compared to the time series forecasting model. For the next five years, the groundwater depth and mineralization changes were forecasted, and the author put forward some concrete proposals.