Strategies for ICT product diffusion: the case of the Korean mobile communications market

Lee, Sang-Gun; Lee, Eui-Bang; Yang, Chang-Gyu

doi:10.1007/s11628-013-0187-9

Cited by 16 publications

(16 citation statements)

References 45 publications

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“…This study is limited to the South Korean market because the market is already saturated, despite its late entry into ICT services (Lee et al, 2014). In fact, the country was ranked at the top of worldwide ICT development in 2011.…”

Section: Data Collectionmentioning

confidence: 99%

“…The global ICT market has grown rapidly and reached market saturation, and as such, its players have been engaged in an ever-intensifying competition (Bae, 2012;Cho et al, 2009;Kim et al, 2010;Lee et al, 2014). In particular, the mobile industry, which is the largest ICT hardware market, has exploded with the penetration rate jumping from 15.5 percent in 2001 to 93.1 percent in 2013 and expected to reach 95.5 percent in 2014 (ITU, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…In particular, the mobile industry, which is the largest ICT hardware market, has exploded with the penetration rate jumping from 15.5 percent in 2001 to 93.1 percent in 2013 and expected to reach 95.5 percent in 2014 (ITU, 2014). Moreover, in 2011, the number of subscribers exceeded the country's population in 105 countries (Lee et al, 2014). Such market saturation has shifted the dynamics of the competitive landscape from attracting new-to-market customers to acquiring competitors' customers (Lee et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Predicting customer churn in mobile industry using data mining technology

Lee

Kim

Lee

2017

IMDS

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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.

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Section: Data Collectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Predicting customer churn in mobile industry using data mining technology

Lee

Kim

Lee

2017

IMDS

Self Cite

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“…In particular, the mobile communication market in South Korea has diffused rapidly, with mobile phone penetration exceeding 100 percent in 2010. The mobile advertising market grew by as much as 184 percent in 2012 (Lee et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

The influences of advertisement attitude and brand attitude on purchase intention of smartphone advertising

Lee

Yang

2017

IMDS

Self Cite

161

116

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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.

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“…Social networks-sets of people or their digital representations bonded by friendship (Musial and Kazienko, 2013)-in virtual communities are widely discussed and influential in various areas, including campaigning (Vergeer and Hermans, 2013), marketing , revisit intention (Teng and Chen, 2014), knowledge seeking and sharing , and the spread of information and communication technology products (Lee et al, 2014). Drivers of participation in social networks include trust (Lin and Liu, 2012) and interdependence (Teng et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Drivers of interdependence and network convergence in social networks in virtual communities

Teng

2015

Electronic Commerce Research and Applications

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Strategies for ICT product diffusion: the case of the Korean mobile communications market

Cited by 16 publications

References 45 publications

Predicting customer churn in mobile industry using data mining technology

Predicting customer churn in mobile industry using data mining technology

The influences of advertisement attitude and brand attitude on purchase intention of smartphone advertising

Drivers of interdependence and network convergence in social networks in virtual communities

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