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The purpose of this paper is to analyze user behavior toward multi-screen services by employing neural networks to predict overall customer satisfaction and to prioritize the factors that influence customer intentions.

Multi-screen experiences require a new approach incorporating multiple methods. A proposed multi-state analytic approach in which the research model is tested using structural equation modeling was utilized. The results were then used as inputs for a neural network model to predict multi-screen adoption.

The findings indicate that multi-screen quality significantly influences usability, which subsequently affects the adoption of the technology.

The policy and managerial implications of multi-screen development are discussed based on the models of acceptance and diffusion.

The emergence of multi-screen services as well as the simultaneous and sequential engagement of users with multiple devices throughout the day challenges the ability of marketers to develop effective communication strategies.

This study provides an in-depth analysis and heuristic data regarding user drivers, market dynamics, and policy implications in the one-source multi-use ecosystem.

Using the critical incident technique, this study aims to identify the attributes of a platform as a technology standard and to investigate their effects on platform-based repurchases.

Smartphone users’ personal experiences and levels of satisfaction or dissatisfaction were collected and categorized into technology standard attributes to estimate those factors affecting consumers’ intention to purchase platform-based products and services.

The study findings show the importance of understanding which attributes are important to promoting future platform-based purchases and maximizing positive experiences when using platform-based products and services.

Given the effect of the platform vendor on repurchases, and that various lock-in strategies are being implemented, firms attempting to be leaders in the information and communications technology (ICT) ecosystem should seek appropriate strategies to lock-in their installed base.

Including discussions on the competition in the ICT ecosystem, this study also provides some policy suggestions and contributions for applicability to an integrated approach.

The purpose of this study is to categorize network neutrality according to its issues under debate and assess the state of the debate based on such organization. In addition, the study discusses the reasons that network neutrality is so difficult to solve and the future research directions that would do so.

This study presents a critical review of the current network neutrality issues and summarizes the economic background of each position in the debate. The relevant literature is organized by issue to examine the reasons that the network neutrality debate is so difficult to solve and determine the further study required to solve it.

An analysis of the relevant literature suggests that the proponents and opponents of network neutrality disagree on the best methods of developing the Internet. Therefore, future research and regulatory and practitioners’ applications would greatly benefit from a comprehensive review of that literature.

Network neutrality regulation is receiving increased attention because the development and significant influences of the Internet are becoming more apparent.

This study aims to conduct socio-technical analysis of the rapidly evolving Internet of Things (IoT) ecosystem and industry, including such factors as market growth and user experiences, policy and the impact of IoT on various areas.

By applying a multi-level socio-technical framework to IoT in South Korea, this study seeks an ecological understanding of how IoT will evolve and stabilize in a smart environment.

The study shows the values influencing potential users’ adoption of IoT by integrating cognitive motivations and user values as primary determining factors. Along with user modeling, the findings reveal the challenges of designing, deploying and sustaining the diverse components of IoT, and provides a snapshot of Korea’s current approach to meeting these challenges.

The study’s findings offer a contextualized socio-technical analysis of IoT, providing insight into its challenges and opportunities. This insight helps to conceptualize how IoT can be designed and situated within human-centered contexts.

The purpose of this study is to examine, in the context of online news use, the predictive values of two factors: perceived bias in traditional media and preference for partisan news.

This study used data collected as part of the Pew Internet and American Life Project between December 28, 2009, and January 19, 2010. The data were analyzed using linear regression analysis.

The findings provide evidence of the values of two potentially significant predictors of online news use: a perception of bias in traditional media and preference for partisan news. In addition, higher levels of political partisanship were shown to intensify the positive effect of perceived bias in traditional media on online news use in new media outlets, reinforcing the impact of preference for partisan news on participatory online news use.

Depending on individual decisions, the internet can either help to empower deliberative democracy (where diverse and different voices coexist) or lead to an extremely polarized society.

With the explosive growth of the internet as a news source, media scholars have explored the factors that encourage people to rely on the internet for news and information. Nevertheless, certain attributes of online news consumption originating from individual attitudes about and perceptions of the media environment remain underspecified. This research helps advance an understanding of the types of people who seek news online and how they use various sources.

The purpose of this paper is to help understand consumer acceptance of online health information services by integrating the health belief model and extended valence framework.

A laboratory-based, experimental-scenarios research design is used to collect data, and the structural equation modeling technique is used to test the research model.

The model explains 47.6 percent of the variance in intentions to use online health information services. Trust appeared to have the strongest effect on acceptance. Perceived risk also had a significant impact on acceptance. Furthermore, health belief variables are confirmed as important factors for consumer acceptance. Self-efficacy was found to moderate the effect of perceived severity on acceptance.

This study helped identify the relative salience of the health belief model and extended valence framework in consumer acceptance of online health information services.

This study can help practitioners better understand the development of trust and the profiles of consumers who may browse their sites. When online health service providers promote their information to encourage potential online health information seekers, they should use countermeasures against risk perceptions.

This study attempted to extend the valence framework to the non-commercial service context. Moreover, health beliefs and the valence framework are two fundamental aspects that health information seekers consider when making decisions about online health services.

The purpose of this study is to investigate users' underlying motivations for engaging in social networking through online social networking services (SNS) compared with their behaviour. It seeks to examine the differences between USA, and Korean users.

The study surveyed SNS users in the USA and Korea to determine the key differences between the two countries. Survey questions, developed in English and Korean, were presented in each country to explore the influences of various factors from the modified Technology Acceptance Model on SNS user dimensions. The analytic design methods were based on structural equation modelling and applied to the data gathered. The TAM factors of SNS were analysed, focusing on the differences in motives between the two countries.

The results of the online survey of SNS users validated the proposed theoretical model's ability to explain and predict user acceptance of SNS very well. While the results illustrate the importance of both extrinsic and intrinsic motivation, the two countries showed different sets of motivations, providing useful implications for theory and practice.

Based on the results of the study, practical applications for marketing strategies in online SNS markets and theoretical applications for cross‐national studies are recommended.

Despite the burgeoning interest in SNS, only a few studies have explored the acceptance of SNS in a cross‐national manner, leading to a paucity of information on how different cultures influence acceptance of online services.

The purpose of this paper is to explore the relations between usability and aesthetic values to clarify what value users place on aesthetic design as compared to usability and how this is different across cultures.

Smartphone service acceptance and uses were analyzed cross‐nationally, in a comparative fashion, focusing on the differences in the composition of motives in the USA and Korea.

While the results illustrate the importance of both usability and aesthetic values, the two countries show different value preferences, as well as intention and adoption patterns.

In the context of the recent overwhelming move toward mobile technologies such as smart devices, there exists a potential trade‐off between the aesthetic design and the usability in smartphones.

The results of this research suggest practical implications for employing cross‐cultural strategies in the global marketing of smartphones, as well as theoretical implications for cross‐country studies, which are recommended accordingly.

The purpose of this paper is to examine whether and how usability and sociability differ in the way they influence users’ experiences using social TV (STV).

The research model is theoretically proposed and empirically tested through a survey of STV users in South Korea. The model was analysed using structural equation modelling, and the results were input to a neural network model to predict adoption.

Users differ in their emphasis on the identified dimensions when they view STV and socialise through it. Furthermore, the findings show the mediating and moderating roles of perceived sociability on the effect of performance on intention. That is, with sociability, users perceive higher utilitarian value and enjoyable hedonic value and thus are more likely to intend to use STV.

The implications of these findings are discussed in terms of building a theory of sociability and providing practical insights into developing a meaningful sociable TV experiences.

As multidimensional constructs, users’ perceptions of sociability and usability are determined by multiple heterogeneous factors, such as utility and social interaction. This study highlights these two aspects in terms of the rising use of STV.

The purpose of this paper is to identify the key psychological determinants of smart watch adoption (i.e. affective quality (AQ), relative advantage (RA), mobility (MB), availability (AV), subcultural appeal) and develops an extended technology acceptance model (TAM) that integrates the findings into the original TAM constructs.

An online survey assessed the proposed psychological determinants of smart watch adoption. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were conducted on collected data (n=363) using the AMOS 22 statistical software. The reliability and validity of the measurement assessing the proposed factor structure were examined via CFA, while the strength and direction of the hypothesized causal paths among the constructs were analyzed via SEM.

The AQ and RA of smart watches were found to be associated with perceived usefulness, while the sense of MB and AV induced by smart watches led to a greater perceived ease of the technology’s use. The results also indicated that the devices’ subcultural appeal and cost were notable antecedents of user attitude (AT) and intention to use, respectively.

Though smart watches are becoming increasingly popular, empirical studies on user perceptions of and ATs toward – them remain preliminary. This paper is one of the first scholarly attempts at a systematic prediction of smart watch usage, with implications for the adoption of future wearable technology.