• Journal of Intelligence and Information Systems
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• 제29권1호
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• pp.233-247
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• 2023

Recently, research on detecting objects in hidden spaces beyond the direct line-of-sight of observers has received attention. Most studies use optical equipment that utilizes the directional of light, but sound that has both diffraction and directional is also suitable for non-line-of-sight(NLOS) research. In this paper, we propose a novel method of detecting objects in non-line-of-sight (NLOS) areas using acoustic signals in the audible frequency range. We developed a deep learning model that extracts information from the NLOS area by inputting only acoustic signals and predicts the properties and location of hidden objects. Additionally, for the training and evaluation of the deep learning model, we collected data by varying the signal transmission and reception location for a total of 11 objects. We show that the deep learning model demonstrates outstanding performance in detecting objects in the NLOS area using acoustic signals. We observed that the performance decreases as the distance between the signal collection location and the reflecting wall, and the performance improves through the combination of signals collected from multiple locations. Finally, we propose the optimal conditions for detecting objects in the NLOS area using acoustic signals.

• Journal of Intelligence and Information Systems
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• 제29권2호
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• pp.23-34
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• 2023

Wearable technology for military applications has received considerable attention as a means of personal status check and monitoring. Among many, an implementation to recognize specific motion states of a human is promising in that allows active management of troops by immediately collecting the operational status and movement status of individual soldiers. In this study, as an extension of military wearable application research, a new ankle wearable device is proposed that can glean the information of a soldier on the battlefield on which action he/she takes in which environment. Presuming a virtual situation, the soldier's upper limbs are easily exposed to uncertainties about circumstances. Therefore, a sensing module is attached to the ankle of the soldier that may always interact with the ground. The obtained data comprises 3-axis accelerations and 3-axis rotational velocities, which cannot be interpreted by hand-made algorithms. In this study, to discern the behavioral characteristics of a human using these dynamic data, a data-driven model is introduced; four features extracted from sliced data (minimum, maximum, mean, and standard deviation) are utilized as an input of the model to learn and classify eight primary military movements (Sitting, Standing, Walking, Running, Ascending, Descending, Low Crawl, and High Crawl). As a result, the proposed device could recognize a movement status of a solider with 95.16% accuracy in an arbitrary test situation. This research is meaningful since an effective way of motion recognition has been introduced that can be furtherly extended to various military applications by incorporating wearable technology and artificial intelligence.

• Journal of Internet Computing and Services
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• 제25권3호
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• pp.71-81
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• 2024

In response to the COVID-19 pandemic, the global airport industry is actively introducing 4th Industrial Revolution technology-based systems for quarantine and passenger safety, and test bed construction and prior verification using airport infrastructure and resources are actively being conducted. Analysis of recent cases shows that despite the changing travel patterns of airport users and the diversification of airport service demands, most testbeds construction studies are still focused on suppliers, and task prioritization is also determined by decision makers. There is a tendency to rely on subjective judgment. In order to find practical ways to become a first mover that leads innovation in the aviation industry, this study selected tasks and derived priorities to build testbeds from a service perspective that reflects various customer service needs and changes. Research results using the AHP analysis method resulted in priorities in the order of access transportation and parking services (29.2%), security screening services (23.4%), and departure services (21.8%), and these analysis results were tested in the airport industry. It shows that innovation in testbeds construction is an important factor. In particular, the establishment of smart parking and UAM transportation testbeds not only helps strengthen airports as centers of technological innovation, but also promotes cooperation with companies, research institutes, and governments, and provides an environment for testing and developing new technologies and services. It can be a foundation for what can be done. The results and implications produced through this study can serve as useful guidelines for domestic and foreign airport practitioners to build testbeds and establish strategies.

• Information Systems Review
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• 제10권3호
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• pp.21-38
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• 2008

After the introduction stage, Korean mobile game market is approaching to the growing stage leading mobile contents market. The environment for the mobile contents business is getting better by the expansion of the 3G mobile networks and the enhancement of the mobile devices. In this research, at a content level, not a service level, market success factors of mobile games and the differences by genres and their changes over time were investigated through the analysis of the real market data of mobile games launched by a Korean mobile carrier. The most important factors for market success, especially for the genres of RPG/Tycoon/Simulation and Shooting/Action/Arcade, were found to be the 'design' factor and its effect turned to be getting stronger as time goes by after the launch. Consumers' purchase rate was actually higher for the mobile games of popular genres or in relation with socially popular subject matters. Also 'design' and 'creativity' factors which are related to the quality of contents, have gotten more important over time. One of the most interesting results was that there existed a "blue ocean" genres like Sports/Racing/Leisure which had a steady demand but not many competing games. In the analysis of the 'convenience' factor, one interesting implication for mobile game producers was that there exists a trade off between the ease of initial adoption and the steady sales of a mobile game.

• Information Systems Review
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• 제10권3호
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• pp.1-20
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• 2008

Under the rubric of the new economy, a wide variety of economic and social phenomena have been identified and discussed since the 1990's. Most of the observations in the literature on the new economy are fragmented, casual, and anecdotal, not compiling to a whole picture of what the new economy is really about. Therefore, this study attempts to provide e-commerce companies with a better, more systematic understanding of the new economy and new economy phenomena as well as the implications of them in order to help them develop more effective business strategies. To provide a better understanding of the new economy phenomena, this article adopts system perspective as an overarching frame of reference for analysis. The systemic characteristics and behavior of the new economy is sought in five generic aspects of a system; 1) what are the entities that comprise the system, and how are they related to one another?; 2) how does the system function?; 3) what are the goods and services (output) that are generated and flow in the system?; 4) what is the value of those goods and services?; and 5) what are the collective, systemic quality and attributes of the system? Based upon the review and categorization, some essential characterizations are made for the five system aspects of the new economy. Such characterizations are interpreted as collectively enunciating the systemic characteristics and behavior of the new economy. The implications of the systemic under-standing of the new economy for business and firm strategy are discussed and some future research is suggested.

• Management & Information Systems Review
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• 제30권2호
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• pp.81-111
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• 2011

Relationship Marketing has been dealt with as an effective strategy to sustain customer loyalty in many previous researches. For relationship development, a customer's efforts are necessary as well as an organization's efforts. However, the role of customers for the development of the relationship with an organization has been dealt in few previous researches so far. Furthermore, whereas researchers understand the importance of consumers' motivation in the relationship, few researchers had paid attention. This research is based on the Self-Determination Theory (SDT) to explain the role of customer motivation in the process of relationship development and performance. We started by using SDT to confirm the psychological side of relationship development in customer aspects. Then, this paper verified the relationships among environmental factors(informative communication, perceived personalization), relationship motivation(identified motivation, internal motivation) and relational factors(affective commitment, relationship strength). It suggested that customer's roles in psychological parts be inevitable in developing the relationship and it acquired by such stimulations from service providers. In conclusion, this paper has several marketing implications on customer acquisition and retention. For service providers, they should recognize the fact that a customer's perception of self-determination factors can generate tangible and intangible performance in relationship development.

• Management & Information Systems Review
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• 제30권2호
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• pp.185-210
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• 2011

For many firms, customers are their most valuable assets. This is a shift in the interest of managers and researchers from a traditional focus on product management to a more recent focus on customer management. And they manage their customers with relationship marketing. Despite the recent academic interest in the study of customer equity, prior research has focused on brand equity and limited relationship mediated variate such as satisfaction, commitment and trust. This paper suggests customer equity drives with mediated variate and examines how relationship marketing can generate drives of customer equity and influence on customer behaviors. The results are like this. First, customer equity drives include value, brand and relationship equity and they mediate between relationship marketing activities and customer behaviors. Second, financial, social and structural activities have significant impact on repurchase, positive word of mouth, and cross purchase through customer equity drives. Third, this study tried to organize literature on customer equity systematically. It will become the foundation of follow-up studies.

• Asia pacific journal of information systems
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• 제22권3호
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• pp.1-27
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• 2012

Many companies have recently become interested in using social networking sites such as Twitter and Facebook as a new channel to communicate with their customers. For example, companies often offer "special deals" (e.g., coupons, discounts, free samples, etc.) to their customers who participate in promotions or events on social networking sites. Companies often make important announcements on their products or services on social networking sites. By doing so, customers are encouraged to continue to have relationships with companies on social networking sites and to recommend the companies' presence on social networking sites to other potential customers. Moreover, customers who keep close relationships with companies on social networking sites often provide the companies with valuable suggestions and feedback. For instance, Starbucks has more than 2 million followers on Twitter, and often receive suggestions and feedback for their product offerings and services from the followers on Twitter. Although companies realize potential benefits of using social networking sites as a channel to communicate with their customers, it appears that many companies have difficulty forging long-lasting relationships with customers on social networking sites. It is often reported that many customers who had followed companies on Twitter later stopped following them for various reasons. Therefore, it is an important issue to understand what motivates customers to continue to keep relationships with companies on social networking sites. Nonetheless, due attention has yet paid to this issue until recently. This study intends to contribute to our understanding on customers' intention to continue to follow companies on Twitter and to spread positive word-of-mouth about companies on Twitter. Specifically, we identify seven potential factors that customers perceive as important in evaluating their experience with companies on Twitter. The seven factors include similarity, receptivity, interactivity, ubiquitous connectivity, enjoyment, usefulness and transparency. We posit that the seven perception factors can affect the two types of satisfaction, emotional and cognitive, which can in turn influence on customers' intention to follow companies on Twitter and to spread positive word-of-mouth about companies on Twitter. Research hypotheses formulated in this study were tested with data collected from a questionnaire survey administered to customers who had been following companies on Twitter. The data was analyzed with the partial least square (PLS) approach to structural equation modeling. The results of data analysis based on 177 usable responses were generally supportive of our predictions for the effects of the seven factors identified and the two types of satisfaction. In particular, out results suggest that emotional satisfaction was strongly influenced by perceived similarity, perceived receptivity, perceived enjoyment, and perceived transparency. Cognitive satisfaction was significantly influenced by perceived similarity, perceived interactivity, perceived enjoyment, and perceived transparency. While cognitive satisfaction was found to have significant and positive effects on both continued following and word-of-mouth intentions, emotional satisfaction had a significant and positive effect only on word-of-mouth intention.

• Management & Information Systems Review
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• 제29권4호
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• pp.187-205
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• 2010

Empirical study comparing the leadership styles of women an men is a popular on management in organization. Consistent with study comparing women and men on many organizational behavior, I have identified that leadership style from survey. The this study examined follower's perception of the women and men the leadership in organization. More specifically, I examined how male and female follower evaluated the leadership style and effectiveness of women and man, how these evaluations were affected by the degree of stereotypes of the followers toward gender roles, finally the variables affecting the evaluation of the leadership effectiveness. Total 158 follower's participated in this survey to explore these research questions. The results that female evaluator were evaluated higher in the transformational leadership than male evaluator, while the evaluation for man leader was higher than the woman leader in terms of the transactional and task-oriented leadership style. Also, another analysis the gender difference of the organizational member revealed that woman leader better than man was higher leader relational and transformational leadership. However, both male and female followers who were no gender-difference in decision making work, interpersonal work, relation coordination work, consulting work.

• Management & Information Systems Review
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• 제33권2호
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• pp.119-133
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• 2014

This Research focuses on the effect of the price limits change in KOSDAQ market change on the volatility. The sample period ranges from 22 May 2000 to 24 March 2010 for daily data. We construct two subsample periods for comparing with the effect of the change of the price limit. These limits were relaxed from 12% to 15% on March 25, 2005. The first subsample period is from 25 March 2000 to 24 March 2005. The second subsample period is from 25 March 2005. to 24 March 2010. We employee four different volatility, which are the range-based volatility of Parkinson(1980; PK), Garman and Klass(1980; GK) Rogers and Satchell(1991; RS), Yang and Zhang(2008; YZ). The empirical result as follows. The major findings are summarized as follows; First, the volatility of individual stocks in KOSDAQ market reduces significantly after the price limit change. Second, There is so high volatile especially when the volatility of stock prices is high. Third, There is no meaningful relationship between volatility and market capitalization. Fourth, the more volume stocks reduce the volatility. Our results show the volatility decreased the more large volume, the more trading amount and the high price stock.