Exploring the Formation Mechanism of Radical Technological Innovation

This paper identifies three stages in the radical technological innovation process, namely formation process in niches, breaking out of niches and entering regimes, and new regime formation. It then adopts Multi-level Perspective (MLP) to explore the formation process, operating mechanism, breakthrough path, and impact factors of radical technological innovation. A three-phase model, which includes formation of radical innovation, breakout of radical innovation, and new regimes construction, is proposed to analyze radical technological innovation. The model is adopted in a case study to analyze the leapfrogging development of technologies in China’s mobile communication industry. This paper enriches technological innovation theory and provides supports for policy making and guidance for industries/enterprises practices regarding technological innovation in emerging economies.

Exploring the Formation Mechanism of Radical Technological Innovation

This paper identifies three stages in the radical technological innovation process, namely formation process in niches, breaking out of niches and entering regimes, and new regime formation. It then adopts Multi-level Perspective (MLP) to explore the formation process, operating mechanism, breakthrough path, and impact factors of radical technological innovation. A three-phase model, which includes formation of radical innovation, breakout of radical innovation, and new regimes construction, is proposed to analyze radical technological innovation. The model is adopted in a case study to analyze the leapfrogging development of technologies in China’s mobile communication industry. This paper enriches technological innovation theory and provides supports for policy making and guidance for industries/enterprises practices regarding technological innovation in emerging economies.

Customer’s Perception and its Impact on Market Share of Mobile Communication Industry with special Reference to Thanjavur Town

Customer fulfillment is a main factor for the business environment. But it is not easy task for the business people. Because trends, preferences, technology are changing from day to day factors. On the other hand, competition is the most important factor, so every business facing this kind of problem. But the fact is one who meets out the customer satisfaction level or to give more than their desire level that company will acquire the ‘leadership position’ in the market. Now, the above condition repeats in mobile network sector, Indians are very price sensitive customer so who will focus the price sensitive market segment the opportunity is there. Based on the minds of customer the operators are following the strategy, the current trend is said to be “competitors kill strategy” in order to get attention in the minds of Indian customers. In this study focused on the customer’s perception towards the new entry of operator into market and how its affect the already existing operators in the market. But the fact is, in the present situation, the network operator faces problems like, political, economical, social and technological problem. One who tackle the situation and satisfy the customer that network operator will retain their level. So this study is about customer perception and satisfaction towards their mobile network. “Change is the only thing which cannot be change”.

Design a Cellular System with Different Cluster Size and Investigate the Co Channel Interference Assuming a Limited Geographical Area with Fixed Channel Assignment Strategy

There are different communication standards in present mobile communication industry. Each of this standards has its own feature, architecture, and channel assignment strategies. Each mobile operator uses one of any standard and their aim is to support as much user as possible to communicate with tolerable interference. For that reason they use different cluster size and frequency planning to cover entire geographical area. To reuse the given bandwidth within the entire geographical area some cells uses same sets of frequency and interference arise when the distance between these cells is small. Also when distance is large then capacity is going low. In this thesis our work is to investigation the co channel interference among different cluster size assuming a limited sub urban geographical area in a cellular GSM network. Also we calculate the number of users using each of this cluster size and finally design a cellular system in this geographical area using best results (minimum interference and maximum capacity).

Managing Risks in the Innovation Projects in the Services Sector

The purpose of this chapter is to provide a review on the similarities and/or the heterogeneity of the innovation taxonomy that could be found in the economic domain highlighting that in the specialized literature different terms are used for the same type of technical change and innovation and the same term is used for different types of innovation. This classification ambiguity represents a challenge when comparing different studies. Schumpeter highlights how technical knowledge is acquired both through invention and innovation. A detailed review of the innovation taxonomy in an economy of innovation will be provided. Taxonomy of innovation in the technology management is also provided. An analysis of the innovation projects characteristics in service industry is presented, as the basis for a proposed framework for managing risks. A case study for the Romanian mobile communication industry using data provided by specialized publications is presented at the end of the chapter.