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In order to understand the influence of technology innovation on market demand diffusion in the ICT service market, the purpose of this paper is to examine technology innovation in the mobile product market, which keeps a complementary relationship with the mobile communication market.

This study collected mobile communication user information of four leading countries in the ICT market – the USA, the UK, Korea, and Japan from 1981 to 2014. This study applies the Bass diffusion model to analyze the form of market demand diffusion and conducts white noise test to verify the hypotheses.

Technology innovation of mobile communication leads to an increase in innovation effect and a decrease in imitation effect. Thus, technology innovation of mobile communication needs to be promoted continuously for the purpose of increasing adopters in the early stage. Besides, mobile product’s technology innovation leads to an increase in imitation effect and a decrease in innovation effect, because individuals were aware of the usefulness of the products and services. Hence, the increase in the number of imitators caused a higher increase in imitation effect than in the mobile communication’s innovation effect.

Based on the results of this study, the role that product and service technology innovation plays in renewing the form of market demand diffusion in the ICT service market was defined. Also, since the strategies and plans to acquire competitive advantage of business were understood, it may help both companies and policy decision makers.

The purpose of this paper is to examine the purchase intention in the case of smartphone advertising, which is unlike any other advertising media.

This study examines the characteristics of recent mobile advertisements such as brand attitude and context awareness value, which have not been considered in studies on non-mobile advertisements, to address purchase intention through smartphone advertisements using structural equation modeling.

The results are as follows. Together with entertainment, information, irritation, and personalization in non-mobile advertisements, timing and location in mobile advertisements are the main factors for establishing consumers’ purchase intention. Further, although mobile advertisements’ context awareness value strongly impacts consumers’ advertising attitude and brand attitude, purchase intention receives greater impact from brand attitude than from advertising attitude because the products/services lack feel and touch.

These results imply that contextual advertising and new technology enabling feel and touch for products/services can maximize the effect of mobile advertisements.

The purpose of this paper is to identify the influence of the frequency of word exposure on online news based on the availability heuristic concept. So that this is different from most churn prediction studies that focus on subscriber data.

This study examined the churn prediction through words presented the previous studies and additionally identified words what churn generate using data mining technology in combination with logistic regression, decision tree graphing, neural network models, and a partial least square (PLS) model.

This study found prediction rates similar to those delivered by subscriber data-based analyses. In addition, because previous studies do not clearly suggest the effects of the factors, this study uses decision tree graphing and PLS modeling to identify which words deliver positive or negative influences.

These findings imply an expansion of churn prediction, advertising effect, and various psychological studies. It also proposes concrete ideas to advance the competitive advantage of companies, which not only helps corporate development, but also improves industry-wide efficiency.

The purpose of this paper is to identify how adoption drivers change before and after key milestones of ICT product adoption (i.e. critical mass point (CMP) (adoption rate 16 percent), market saturation point (MSP) (50 percent) and new generation release point (NGRP)) based on actual subscriber data of the mobile communications industry that represents the ICT market, so that it has implications for the rejuvenation of ICT product adoption that has rarely been addressed in earlier studies.

This study examined the overall characteristics of ICT product diffusion by tracking the actual patterns of US and Korean mobile market subscribers using the Bass diffusion model.

This study found that innovation effects gain influences on ICT product diffusion after CMP, MSP and NGRP; imitators are becoming innovators by repeated rejuvenation experiences; and cultural differences have significant influences on imitators’ ICT product adoption, but not on innovators.

These findings imply that rejuvenation enabled by technology innovation is a key success strategy to dominate the ICT market where the number of innovators, who have strong desires for new generation products, is constantly growing.

In today’s rapidly changing business environment, the case for accelerated innovation processes has become increasingly compelling at both a theoretical and practical level. Thus, the purpose of this paper is to propose a conceptual framework for accelerated innovation in a data-driven market environment.

This research is based on a two-step approach. First, a set of propositions concerning the best approaches to accelerated innovation are put forward. Then it offers qualitative evidence from five case studies involving world-leading firms, and explains how innovation can be accelerated in different kinds of data-driven environments.

The key sets of factors for accelerated innovation are: collateral structure; customer involvement; and ecosystem of innovation. The proposed framework enables firms to find ways to innovate – specifically, to make product innovation faster and less costly.

The findings from this research focus on high-tech industries in China. Using several specific innovation projects to represent accelerated innovation could raise the problem of the reliability and validity of the research findings. Additional research will probably be required to adapt the proposed framework to accommodate the cultural nuances of other countries and business environments.

The study is intended as a framework for managers to apply their resources to conduct product innovation in a fast and effective way. It developed six propositions about how, specifically, data analytics and ICTs can contribute to accelerated innovation.

The research shows that firms could harvest external knowledge and import ideas across organisational boundaries. An accelerated innovation framework is characterised by a multidimensional process involving intelligence efforts, relentless data collection and flexible working relationships with team members.