Earticle

When implementing a new information system, the success has been infrequent even though implementing a new IS can bring about various benefits to organizations. Employee resistance has been identified as a critical reason for such failure of implementing and operating a new IS. The vital role of orgazniational support with employee personality traits (e.g., tolerance for ambiguity and openness to expeirence) to reduce employee resistance has been missing when explaining to the failure of impleneting a new IS. The purpose of this study was to test a research model regarding employee resistnace, investigating the relationship bewteen organizational support and employee personality traits in that how organizational support influences employee resistance and also how employee personality traits (e.g., tolerance for ambiguity and openness to expeirence) interact with organizational support to decrease employee resistance the most. The results of this study supported our hypotheses and theoretical and practical implications are discussed.

In this paper, we proposed a dictionary extension and a ternary decomposition technique to improve the effectiveness of Khmer word segmentation. Most word segmentation approaches depend on a dictionary. However, the dictionary being used is not fully reliable and cannot cover all the words of the Khmer language. This causes an issue of unknown words or out-of-vocabulary words. Our approach is to extend the original dictionary to be more reliable with new words. In addition, we use ternary decomposition for the segmentation process. In this research, we also introduced the invisible space of the Khmer Unicode (char\u200B) in order to segment our training corpus. With our segmentation algorithm, based on ternary decomposition and invisible space, we can extract new words from our training text and then input the new words into the dictionary. We used an extended wordlist and a segmentation algorithm regardless of the invisible space to test an unannotated text. Our results remarkably outperformed other approaches. We have achieved 88.8%, 91.8% and 90.6% rates of precision, recall and F-measurement.

These days, the business environment such as Information Technology (IT) is rapidly changing, and organizations are consistently trying to change themselves for the survival and success under the changing environment. In this situation, change management is very important because it draws the change behaviors of organization members for the success of organizational change. The purpose of this study is to investigate the effect of the organization members’ psychological factors on the performance of the acquisition of new IT, which is one of the most important organizational change. Based on previous studies in the area of organizational change, organization members’ resistance to change, self-congruity theory, change activities and organizational performance, the research model is developed for validating the effect of organization members’ self-congruity on the performance of the acquisition of new IT. Statistical analyses show that self-congruity has a significant effect on the change activities. In particular, private self-congruity has more impact on the change activities than public self-congruity. In addition, self-leadership, rewards and recognitions, and the diffusion of change activities have significant effects on job satisfaction. Self- leadership has a significant effect on organizational commitment.

The wireless mesh network (WMN) is a next-generation technology for data networking that has the advantage in cost and the flexibility in its construction because of not requiring the infra-structure such as the ethernet. This paper focuses on the optimal link scheduling problem under the wireless mesh network to effectuate real-time streaming by using the constraint programming. In particular, Under the limitation of half-duplex transmission in wireless nodes, this paper proposes a solution method to minimize the makespan in scheduling packet transmission from wireless nodes to the gateway in a WMN with no packet transmission conflicts due to the half-duplex transmission. It discusses the conflicts in packet transmission and deduces the condition of feasible schedules, which defines the model for the constraint programming. Finally it comparatively shows and discusses the results using two constraint programming solvers, Gecode and the IBM ILOG CP solver.

Software export is very important for developing the domain software industry. Up to now, the study related in this issue is not enough even if exports are not activated. In our study, we treated and analyzed the three SME cases that have each successful record in recent years focusing to sales channels establishment and product localization. This study was done by interviewing the marketing directors mainly, and applied email exchanges, phones, and document analyses. Some implications can be addressed for the potential SME software exports. In the perspectives of sales channels building, the trust for product and firm itself is needed to have a good offshore partners. These are required to make the good relationship with partners, brand value’s diffusion, and technical competency. As for product localization, the customization is important to meet the needs for local users effectively. So it is desirable to accept the advisory suggestions from the local consulting experts or representative customers. And the joint export strategy using the platform by linking some related products is effective for SME’s software product’s export.

Many studies have pointed out that trust is the most important component of social capital. Although there have been lots of attempts to measure level of trust between members of community, it is hard to find studies which examine trust from the standpoint of structural aspects. Because of the recent rapid growth of SNS and openness trend on members and their friendship information, it became possible to understand the structure of trust relationships among users in SNS. This study aims to facilitate interpersonal trust by comparing the structure of the trust network among social network users. For this purpose, it proposes a method to explore the structure of trust network and strategies to evolve toward more open structure. In experiments to distinguish structure of trust network with three social network communities, it is discovered that ADVOGATO has characteristics of open and collective network together whereas EPINION and FILMTRUST have collective and open characteristics respectively.

This study identifies and validates the factors that affect sales performance of salespersons in the business software industry. In the study, in order to measure the dependent variable (performance of the salesperson) more comprehensively, multiple items are utilized and both outcome and behavior indicators are used. Independent variables are identified based on the classification of Verbeke et al. [(2011] including sales related knowledge, degree of adaptiveness, role ambiguity, and work engagement. Results of the hypotheses testing show that ‘sales related knowledge’ and ‘work engagement’ are statistically significant factors, but ‘degree of adaptiveness’ and ‘role ambiguity’ are not. This study has a few limitations and future research direction to overcome the limitation is suggested : use of both perceptions of the salesperson and objective measures in measuring the related variables; study including cognitive ability; analyses of the factors across various types of software companies; and analyses of the factors on the team level.

We can organize, manage, search, and process the documents efficiently by a document clustering. In general, the documents are clustered in a high dimensional feature space because the documents consist of many terms. In this paper, we propose a new method to cluster the documents efficiently in a low dimensional feature space by finding the core concepts from a domain ontology corresponding to the particular area documents. The experiment shows that our clustering method has a good performance.

This study investigated factors affecting the use intention of podcast service users based on the unified theory of acceptance and use of technology (UTAUT). Performance expectancy, effort expectancy, social influence, facilitating condition, hedonic motivation, innovativeness, and media credibility were used as independent variables in the model. The survey data from the users of the podcast portal ‘podbbang’ were analyzed with Smart PLS 2.0 to test the structural equation model. The results revealed that the podcast service user’s effort expectancy, facilitating condition, hedonic motivation, and media credibility have a significant influence on use intention. However, the relationship between the podcast service user’s performance expectancy, social influence, innovativeness, and use intention were not identified as significant.

This study analyzed President Park's speeches and the government’s industry policy in the field of information security using cognitive map. The relationship analysis between policy tool variables and policy goal variables was employed to derive revitalization strategy of information security. This paper found that entrepreneurship revitalization has very strong causality with expansion of domestic market and global market. But, on the other hand, HR development has very weak causality with job creation and future growth driver because the labor market in the information security industry is poor and its transfer rate to other industry is very high. This study showed that this cognitive map could be characterized by a scarcity of feedback loops and a strong emphasis on the positive loops in the structure of virtuous circle. In this paper, we also constructed a comprehensive cognitive map on the policy vision of information security, showing that there are a risk of cyber threat, an opportunity of new fusion security market, information security reinforcing circle, global economic circle, and domestic market circle.

Mobile financial services with incorporated into IT are actively introduced and being operated worldwide. Meanwhile, a relationship setting of industrial capital and financial capital has a close connection with development process of the financial markets and the economic development. If the relationship setting of industrial capital and financial capital are right, it will be good opportunity to ensure economic development, positive economic effect and global competitiveness of the financial industry as other developed countries. In order to expand the positive effects of these mobile financial services, a ICT companies, etc. should ease regulations to allow entry to the mobile financial services market. That is, the separation of banking and commerce should be abolished.

Investments in information and communication technologies (ICT) around the world have grown at an enormous rate over the past two decades, which reflects a new emphasis on consumer mobile devices. A social network service (SNS) is an online service that aims to build social relations among people who share interests and activities. The role of SNS is enormous for communicating ideas and opinions among social participants. The use of SNS has recently become one of the most popular social activities worldwide. This research investigated relation between personal characteristics, social characteristics and user satisfaction on SNS then, analyzed how these factors affecting continuance usage intention on SNS users. The conclusion is summarized as below. The study results show that informativeness, pleasure, innovativeness, relationship and empathy of SNS are having positive impact to some degree on the user satisfaction. Further, the user satisfaction of SNS users and quality of life have a positive impact on the continuance usage intention of SNS users. This results show that various SNS qualities are necessary to actively explore and obtain further information that users intend to find, while they are insufficient in function to provide the information other users require or exchange information with other users through the SNS.

The purpose of this study is to develop cyber class contents on website and to verify the effectiveness of the program to reinforce a career education. The participants of the experiment in this study are from Namseoul University who took the cyber class ‘Self management and creation of vision.’ of the second semester in 2015. They took the class fifty-sixty minutes a week. The control group also includes the students who took the classes ‘Theory and practice of school violence prevention’ and ‘Youth Education theory.’ To verify the effectiveness of career education, the data processing in performing this study utilized t-test for homogeneity with the effective variable of career identity and career decision and the result was proved by using paired t-test. The result suggests that the experiment group significantly shows improvement compared with the control group in the view of career identity and career decision level. Therefore we recognize that the web based cyber course has its effect on content development and career education and we anticipate the continuous development and activation of effective cyber education on website for university students in future.

Wide use of smart and high performing mobile device makes consumers use diverse distribution channels, composed of online and offline channel. Smart companies are trying to deploy omni channel. In order to successfully integrate these diverse channels, it is necessary to understand consumers’ preference of channel choice. Thus, this study was focused on the influencing factors of channel preference such as price sensitivity, consumer innovativeness, time pressure, and need-for-touch. And this study compared these influencing factors between Korea and China, and drew meaningful message for e-commerce companies and offline distribution companies.

Recently, 3D printing technology has been considered as a core applicable technology because it brings many improvements such as the development of medical technology, medical customization, and reducing production cost and shortening treatment period. This research suggests a market prediction framework for medical 3D printing business. As an immature market situation, it is important to control some uncertainty for market prediction such as a customers’ conversion rate. So we adopt decision making tree (DMT) model which used to choose an optimal decision making among diverse pathway. Among medical industries this paper just focuses on dentistry business. For predicting a 5 year period trend expected market size, we identified some replaceable denture procedure by 3D printing, collected related data, controlled uncertain variables. The result shows that medical 3D printing business could be a market of 28.2 billion won at 1st year and in the end of fifth year it could become on a scale of 61.1 billion won market.