Purpose: The purpose of this paper is to examine the purchase intention in the case of smartphone advertising, which is unlike any other advertising media. Design/methodology/approach: 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. Findings: 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. Originality/value: These results imply that contextual advertising and new technology enabling feel and touch for products/services can maximize the effect of mobile advertisements.

Purpose: 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. Design/methodology/approach: 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. Findings: 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. Originality/value: 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.

Purpose: Starting from industry 4.0 in Germany and followed by the New Strategy for American Innovation in the USA and the smartization strategy in Japan, developed countries are pushing nation-wide innovation strategies. Similarly, China is pursuing the Made in China 2025, and Korea announced the Manufacturing Industry Innovation 3.0 strategy. However, few researchers have identified the industrial structure that establishes the foundation of the 4th Industrial Revolution or have derived strengths and weaknesses to provide implications on policy formulation through quantitative comparison with developed countries. Therefore, the purpose of this paper is to analyze the spillover effect of the information and communication technology (ICT) industry (the foundation of the 4th Industrial Revolution) and machinery·equipment industry (the foundation of smart manufacturing through convergence with ICT industry). Design/methodology/approach: This study examines the industrial spillover effects of the ICT industry and machinery·equipment industry in the USA, Germany, Japan, China and Korea by using the World Input–Output Table from 2000 to 2014. Findings: The results showed that backward linkage effect of the ICT Industry are high in the order of Korea≑China>Japan>the USA≑Germany, and forward linkage effect of the ICT industry are high in the order of Japan ≑> the USA≑Korea ≑> China ≑> Germany. Backward linkage effects of the machinery·equipment industry are high in the order of China>Japan≑Korea>the USA>Germany, and forward linkage effects of the machinery·equipment industry are high in the order of China>Korea>Germany≑Japan≑the USA. Practical implications: China and Korea encourage active government investment in ICT and machinery·equipment industries, especially the intentional convergence between ICT and machinery·equipment industries is expected be generate higher synergy. The “innovation in manufacturing” strategy in the USA that utilizes its strength in ICT services seems appropriate, whereas Germany needs to revitalize the ICT industry to strengthen its manufacturing industry. Japan’s strategy is to focus its ICT capabilities on robot sector. While the scope of innovation is limited, its synergy is worth expecting. Originality/value: This study attempted to provide a theoretical approach to the determination of national policy strategies and provide practical implications for response to the impacts of the 4th Industrial Revolution, by comparing the inducement effects of ICT and machinery·equipment industries between major countries.

This study tested the efficient-market hypothesis (EMH) to examine information efficacy in the cryptocurrency market. We conducted three random walk tests to verify the weak-form EMH and used the event study method to test the semi-strong-form EMH. The analysis results demonstrated that 54 (6.04%) of the total of 893 cryptocurrency units satisfied the weak-form EMH, and 24 (2.695%) met the semi-strong market hypothesis. Furthermore, we found that, among the cryptocurrency exchanges that were established before November 2017, large size exchanges were more likely to satisfy the weak- and semi-strong-form EMHs.