Earticle

Due to the increase in the use of the Internet, it is becoming more common to provide or use a social login for registering for services. Herein, the purpose of this study is to analyze the influence of security, individual innovativeness, ubiquity and brand awareness on the use of social log-in service through the individuals’ attitude who have memorized various IDs and passwords by using Technology Acceptance Model (TAM). In addition, the effect of individual innovativeness on the relationship between social login characteristic factors and attitudes toward social login services are examined. Based on the statistical results, it is found that the significant factors affecting the attitude toward the social login service are the security, ubiquity, brand awareness and perceived usefulness. Moreover, the individual innovativeness is found to have the moderating effects in the relationship between the three factors (the perceived usefulness, and perceived ease of use, and security) and attitude toward the social login service. Positive attitudes increase with the usefulness, ease of using social login serive when individual innovativeness is high. On the other hand, when individual innovativeness is low, the stronger the effect of security on attitude toward the social login services. In accordance with these results, the implications and limitations of this study are discussed.

The purpose of this study was to investigate empirically whether the expected effects of smart work in organizations were different between job types and positions. The development of information technology is demanding innovation of working style within the enterprise. There is a tendency to prefer the face-to-face working style in traditional organizations in the case of some positions or job types. However, many companies are carrying out smart work such as teleworking or telecommuting, flexible working time. But many companies still stick to their existing working methods. There is also the causal relationship between accepting attitudes toward smart work and expectation effects, depending on the position and the job types, even within the same organization. As a result of research, causal relationship analysis showed that the significant factors affecting productivity were teleworking and increasing work efficiency. The national social cost savings were influenced by the improvement of quality of life and flexible working hours. In order to activate communication within the organization, there was a positive effect on the increase of work efficiency. Only flexible working hours between the general manager and subordinates showed a significant difference.

Corporate Social Responsibility (CSR) activities are important tool in corporate management strategies. However, the way that companies conduct CSR activities might bring different effect on consumers. The purpose of this study is to verify the effect of CSR fit (similarity between the firm’s CSR activities and the firm's core products or technologies) on the consumers’ evaluation on product performance. In addition to the main effects of CSR fit on perceived product performance, and we also examined how this effect changes when CSR information source and consumer expertise are involved as control variables. Study 1 of this research was conducted with US consumers and study 2 was with Chinese consumers. Experimental results show that consumers’ perceive product performance is better when the fit between CSR activities and firm's core products or technologies is low than the fit is high. When CSR information sources are neutral sources, consumers perceive product performance to be better when the fit between the firm’s CSR activities and the firm's core products or technologies is low than the fit is high. However when CSR information was delivered by company’s source like nadvertisement, such difference disappears. This study also show that the higher the customer's expertise, the better the product performance was perceived for high-fit CSR activities. On the other hand, the lower the consumer's expertise, the better perceived product performancewas perceived for low-fit CSR activities.

With the types and targets of cyber attacks expanding and with personal information leaks increasing, the quantitative demand for information security specialists has increased. The base for training the workforce has expanded accordingly, but joblessness and job-seeking still coexist. To resolve the gap between labor demand and supply, education and training systems that can supply demand quickly are needed. It takes a considerable amount of time for information security education and new manpower supply through universities and graduate schools to be reflected in the market. However, if information security retraining is carried out in terms of career development of information security and related workforce, the problem of lack of experts could be solved in a relatively short period. This paper investigates and analyzes the information security work of the information security workforce, the degree of skill level, the need for retraining, and the workplace migration experience; it also discusses the direction of career development retraining.

Although former scholarly studies mostly focus on exploring leadership effectiveness under the traditional hierarchical leader-subordinate relationship, the research of leadership performance for non-hierarchical organizational structures, particularly the mediating factors of higher-order goals, trust-in-leader, and self-efficacy have been ignored. This study, therefore, makes an attempt to ascertain the impacts of transformational leadership on the performance of subordinates through the mediating effects of higher-order goals, trust-in-leader, and self-efficacy and the differences of these effects in the context of multi-level marketing (MLM). Like the small-sample studies adopted by Barling, Weber, and Kelloway [1996], Barling, Slater, and Kelloway [2000] and Bass, Avolio, Jung, and Berson [2003], this study adopts a sample of 123 MLM distributors of an MLM company in Hong Kong, with a high response rate of 80.4%. The results indicate that the mediating effect of self-efficacy between transformational leadership and performance is significant under non-hierarchical organizational structures such as MLM in China.

Software reliability has the greatest impact on computer system reliability and software quality. For this software reliability analysis, In this study, we compare and analyze the trends of the properties affecting the reliability according to the shape parameters of Erlang distribution based on the finite fault NHPP. Software failure time data were used to analyze software failure phenomena, the maximum likelihood estimation method was used for parameter estimation. As a result, it can be seen that the intensity function is effective because it shows a tendency to decrease with time when the shape parameters a = 1 and a = 3. However, the pattern of the mean value function showed an underestimation pattern for the true values when the shape parameters a = 1 and a = 2, but it was found to be more efficient when a = 3 because the error width from the true value was small. Also, in the reliability evaluation of the future mission time, the stable and high trend was shown when the shape parameters a = 1 and a = 3, but on the contrary, when a = 2, the reliability decreased with the failure time. Through this study, the property of finite fault NHPP Erlang model according to the change of shape parameter without existing research case was newly analyzed, and new research information that software developers can use as basic guideline was presented.

The domestic multiplex industry provides consumers with a choice of movies and a variety of contents and entertainment facilities and services. In addition, the number of movie theaters with the significant market potential is also steadily increasing in the competitive multiplex market environment. For the analysis, we conducted research on 300 adolescents who have experienced using domestic multiplex mobile service within the recent year. This study examined the structural relationship among the multi-dimensional mobile service quality of multiple, enjoyment of use, and online word of mouth intention. Also, it explored the mediating effect of enjoyment of use and the moderating effect of gender in the structural model. As a result, the mobile service quality of multiplex has a significant effect on the online word of mouth intention through the enjoyment of use. However, there was no moderating effect of gender of participating adolescents in the relationships. Based on the analysis of empirical results, this study discussed a series of theocratical and practical implications for the marketing strategies of multiplex in the highly competitive market.

This study proposes a content-based recommendation algorithm (NRA) for pet food. The proposed algorithm tries to recommend appropriate or inappropriate feed by using collective intelligence based on user experience and prior knowledge of experts. Based on the physical and health status of the dogs, this study suggests what kind of nutrients are necessary for the dogs and the most recommended pet food containing these nutrients. Performance evaluation was performed in terms of recall, precision, F1 and AUC. As a result of the performance evaluation, the AUC and F1 value of the proposed NRA was 15% and 42% higher than that of the baseline model, respectively. In addition, the performance of NRA is shown higher for recommendation of normal dogs than disease dogs.

The purpose of this study was to examine the volatility of bitcoin, diagnose if bitcoin are a systematic risk asset, and evaluate their effectiveness by estimating market beta representing systematic risk using GARCH (Generalized Auto Regressive Conditional Heteroskedastieity) model. First, the empirical results showed that the market beta of Bitcoin using the OLS model was estimated at 0.7745. Second, using GARCH (1, 2) model, the market beta of Bitcoin was estimated to be significant, and the effects of ARCH and GARCH were found to be significant over time, resulting in conditional volatility. Third, the estimated market beta of the GARCH (1, 2), AR (1)-GARCH (1), and MA (1)-GARCH (1, 2) models were also less than 1 at 0.8819, 0.8835, and 0.8775 respectively, showing that there is no systematic risk. Finally, in terms of efficiency, GARCH model was more efficient because the standard error of a market beta was less than that of the OLS model. Among the GARCH models, the MA (1)-GARCH (1, 2) model considering non-simultaneous transactions was estimated to be the most appropriate model.

Social media has been integrated into a part of travel industry. Subsequently, it has influenced tourists’ travel behavior. Prior studies claim that individuals have different behaviors regarding the use of social media for travel purposes. With lack of studies focusing on age group, the objective of this study is to determine whether there is a difference in the motivation among three generations in using social media for the sake of sharing travel experiences. Finding shows that all generations use social media with similar motivation for travel purposes. They have high motivation in obtaining travel information before the trip and in sharing memorable travel experiences through social media. They also wanted to keep such information as personal document during and after the traveling.

This study investigates the social network among authors to improve the quality of Panel researches. Korea Health Panel (KHP), implemented by the collaborative work between KIHASA (Korea Institute for Health and Social Affairs) and NHIC (National Health Insurance Service) since 2008, provides a critical infrastructure for policy making and management for insurance system and healthcare service. Using bibliographic data extracted from academic databases, eighty articles were extracted in domestic and international journals from 2008 to 2014, April. Data were analyzed by NetMiner 4.0, social network analysis software, to identify the extent to which authors are involved in healthcare use research and the patterns of collaboration between them. Analysis reveals that most authors publish a very small number of articles and collaborate within tightly knit circles. Centrality measures confirm these findings by revealing that only a small percentage of the authors are structurally dominant, and influence the flow of communication among others. It leads to the discovery of dependencies between the elements of the co-author network such as affiliates in health panel communities. Based on these findings, we recommend that Korea Health Panel could benefit from cultivating a wider base of influential authors and promoting broader collaborations.