• Management & Information Systems Review
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• v.10
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• pp.33-66
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• 2002

Counterproductive work behaviors are behaviors by employees intended to harm their organization or organization members. Human is the being has a desire and behaviors. To understand behaviors of an individual, it is important to understand the personality which determines a difference between individuals. Narcissists has psychological traits to be likely to experience negative emotions, such as frustration, hostility or anger, and this psychological traits of narcissists are more likely to induce an aggression. In this view, the purpose of this study was to examine the relationships between counterproductive work behaviors and narcissistic personality characteristics and to explore psychological dynamics about how narcissistic personality characteristics had an effect on counterproductive work behaviors. As a result, facts known were as follows. First, narcissists has strong desires to maintain a sense of superiority over others and defend their egos against unpleasant evaluation information, even if the information is factual and accurate. Second, narcissists are hyper-sensitive to negative information and are more likely to encounter information or situations that challenge their positive self-appraisals by this view. Third, in response to these challenges, or ego threats, these individuals are more likely to experience negative emotions, such as anger, frustration, or hostility. Forth, this negative emotions lead to aggression and as a result, this is more likely to induce counterproductive work behaviors such as theft, sabotage, interpersonal aggression, work slowdowns, wasting time and materials, and spreading rumors. Thus, narcissism is another individual difference variable that may be an important factor in determining counterproductive work behaviors, particularly under conditions perceived to be difficult or stressful.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.205-213
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• 2024

This study uses a large language model (LLM) to identify Aristotle's rhetorical principles (ethos, pathos, and logos) in COVID-19 information on Naver Knowledge-iN, South Korea's leading question-and-answer community. The research analyzed the differences of these rhetorical elements in the most upvoted answers with random answers. A total of 193 answer pairs were randomly selected, with 135 pairs for training and 58 for testing. These answers were then coded in line with the rhetorical principles to refine GPT 3.5-based models. The models achieved F1 scores of .88 (ethos), .81 (pathos), and .69 (logos). Subsequent analysis of 128 new answer pairs revealed that logos, particularly factual information and logical reasoning, was more frequently used in the most upvoted answers than the random answers, whereas there were no differences in ethos and pathos between the answer groups. The results suggest that health information consumers value information including logos while ethos and pathos were not associated with consumers' preference for health information. By utilizing an LLM for the analysis of persuasive content, which has been typically conducted manually with much labor and time, this study not only demonstrates the feasibility of using an LLM for latent content but also contributes to expanding the horizon in the field of AI text extraction.

• Journal of Information Science Theory and Practice
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• v.11 no.4
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• pp.1-13
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• 2023

Being one of the first and hardest hit countries by the coronavirus, Iran still continues to preserve its place among nations with the highest rates of infection and COVID-19 related deaths. While on the surface, such worrying status evinces the failure of the authorities in handling the crisis, at deeper levels, it points to the fundamentalist nature of the government and political system of the country. In this view, the current devastating condition in Iran is a clear indication of the all-out influence of the Islamic regime's ideologies on officials' decision-making and their political agendas throughout the pandemic. Accordingly, the staterun mainstream media, as the most preeminent institution of power, have been incessantly engaged in disseminating a series of ideology-laden information around the issues concerning the coronavirus, and in line with the developing political discourses during pandemic. Far from being based on factual accounts or scientific facts, these disseminated messages inevitably grew into a source of disinformation, ultimately resulting in overall public confusion and skepticism. Through examining the data gathered from some of the most prominent online news agencies run by the government, this study identifies five major discursive trends through which the mainstream media propagated ambiguous and manipulative information about COVID-19. These findings are then explained in the light of media system dependency theory, leading to the argument that within autocratic nation-states, public reliance on media during a national/global crisis brings about new opportunities for state exploitation, and further distressing consequences for the people.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.2
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• pp.857-880
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• 2016

Due to an increasing number of cyberattacks globally, cybersecurity has become a crucial part of national security in many countries. In particular, the Digital Pearl Harbor has become a real and aggressive security threat, and is considered to be a global issue that can introduce instability to the dynamics of international security. Against this context, the cyberattacks that targeted nuclear power plants (NPPs) in the Republic of Korea triggered concerns regarding the potential effects of cyber terror on critical infrastructure protection (CIP), making it a new security threat to society. Thus, in an attempt to establish measures that strengthen CIP from a cybersecurity perspective, we perform a case study on the cyber-terror attacks that targeted the Korea Hydro & Nuclear Power Co., Ltd. In order to fully appreciate the actual effects of cyber threats on critical infrastructure (CI), and to determine the challenges faced when responding to these threats, we examine factual relationships between the cyberattacks and their responses, and we perform analyses of the characteristics of the cyberattack under consideration. Moreover, we examine the significance of the event considering international norms, while applying the Tallinn Manual. Based on our analyses, we discuss implications for the cybersecurity of CI in South Korea, after which we propose a framework for strengthening cybersecurity in order to protect CI. Then, we discuss the direction of national policies.

• English Language & Literature Teaching
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• v.11 no.4
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• pp.121-137
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• 2005

The present study aims to examine how the roles of teacher and learners affect the repair patterns of both teacher's and learner's utterances in English as a second language (ESL) classroom discourse. The study analyzed beginning ESL classroom discourse and found that the structure of repair seems to be greatly influenced by the roles of participants in a second language classroom. The teacher's repair work was mainly characterized by self-repair. In contrast, learners' repair sequences were predominantly characterized by other-repair. More specifically, self-initiation by the learner of the trouble source was cooperatively completed by the teacher and the other learners. Other-initiated and other-completed repair was the most prevalent form in the current classroom data, which was carried out by the teacher in both modulated and unmodulated manners. When the trouble sources were mostly concerned with the learners' problems with linguistic competence and information presented in the textbook, other-repair took place in a modulated manner (i.e., recasting and prompting). On the other hand, when dealing with learners' errors with factual knowledge, other-repair was conducted in an unmodulated way (i.e., 'no' plus correction).

• Journal of Family Resource Management and Policy Review
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• v.11 no.4
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• pp.155-170
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• 2007

This research examined the similarities and differences between Korean and Japanese accounting management in condominiums, the basic principles of managing them and to deepen the discussion on subjects worth further consideration. This research was done by going through documents from August 2006 to October 2007 in both Korea and Japan. The research indicates many problems in accounting management. Management companies, both in Korea and Japan, used their own individual formats for managing and accounting documents. Furthermore, the problems discovered included the lack of sufficient paperwork accounting done without dividing short- and long-term expenses the preference for cash expenses that weren't approved by the Association of Apartment Owners and inefficient financial auditing. The basic principle of accounting management is to follow a budget, put down rules clearly and to conduct factual, understandable and continued accounting. Therefore, a standard for accounting management must be implemented and basic manuals for auditing and accounting must be provided along with easy-to-understand information.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2003.10a
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• pp.3-3
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• 2003

With biomedical literature expanding so rapidly, there is an urgent need to discover and organize knowledge extracted from texts. Although factual databases contain crucial information the overwhelming amount of new knowledge remains in textual form (e.g. MEDLINE). In addition, new terms are constantly coined as the relationships linking new genes, drugs, proteins etc. As the size of biomedical literature is expanding, more systems are applying a variety of methods to automate the process of knowledge acquisition and management. In my talk, I focus on the project, GENIA, of our group at the University of Tokyo, the objective of which is to construct an information extraction system of protein - protein interaction from abstracts of MEDLINE. The talk includes (1) Techniques we use fDr named entity recognition (1-a) SOHMM (Self-organized HMM) (1-b) Maximum Entropy Model (1-c) Lexicon-based Recognizer (2) Treatment of term variants and acronym finders (3) Event extraction using a full parser (4) Linguistic resources for text mining (GENIA corpus) (4-a) Semantic Tags (4-b) Structural Annotations (4-c) Co-reference tags (4-d) GENIA ontology I will also talk about possible extension of our work that links the findings of molecular biology with clinical findings, and claim that textual based or conceptual based biology would be a viable alternative to system biology that tends to emphasize the role of simulation models in bioinformatics.

• Asia pacific journal of information systems
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• v.33 no.2
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• pp.282-297
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• 2023

One of the emerging trends in the marketing field is digital video marketing. Online videos offer rich content typically containing more information than any other type of content (e.g., audible or textual content). Accordingly, previous researchers have examined factors influencing videos' popularity. However, few studies have examined what causes a video to remain popular. Some videos achieve continuous, ongoing popularity, while others fade out quickly. For practitioners, videos at the recommendation slots may serve as strong communication channels, as many potential consumers are exposed to such videos. So,this study will provide practitioners important advice regarding how to choose videos that will survive as long-lasting favorites, allowing them to advertise in a cost-effective manner. Using deep learning techniques, this study extracts text from videos and measured the videos' tones, including factual and emotional tones. Additionally, we measure the aesthetic score by analyzing the thumbnail images in the data. We then empirically show that the cognitive features of a video, such as the tone of a message and the aesthetic assessment of a thumbnail image, play an important role in determining videos' long-term popularity. We believe that this is the first study of its kind to examine new factors that aid in ensuring a video remains popular using both deep learning and econometric methodologies.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.43 no.3
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• pp.212-221
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• 2007

This paper describes on the evaluation and management of work process in suction hopper dredger and grab bucket dredger as an application of a PC-based ECDIS system. The dynamic tracking of dredging bucket and the data logging of grab dredging information were performed by using the grab dredging vessel "Kunwoong G-18". The position and route tracking of the dredger moving toward the ocean dumping site of dredged material was performed by using the hopper dredging vessel "Samyang-7". The evaluation of wok process in the dredging field, for grab dredger, was continuously carried out on January to May, 2006, in Incheon Hang and for hopper dredger, on July to December, 2003, in Busan Hang, Korea. The dredging information, such as dredger's position, heading, dredging depth and route track which was individually time stamped during the dredging operation, was automatically processed in real-time on the ECDIS and displayed simultaneously on the S-57 ENC chart. From these results, we conclude that the ECDIS system can be applied as a tool in order to manage the work process during the dredging operation, and also in order to generate the factual record of the dredging activities that is sufficient for dredging inspector to accurately evaluate the contract performance even in the absence of a full-time onboard inspector.

• Asia pacific journal of information systems
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• v.25 no.4
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• pp.746-762
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• 2015

This study developed a conceptual model that integrated psychological and physical reactions resulting from online tourism reviews through a longitudinal trust-satisfaction model (LSTM) developed based on the extended valence framework and expectation-confirmation theory. Online reviews are essential factor of consumer's purchase decision. This phenomenon is well applied in a tourism context. However, investigations on online reviews in a longitudinal approach in a tourism context are quite limited. Therefore, this study suggests a conceptual model based on LTSM and several propositions about how online tourism reviews, which are divided into factual and experiential reviews, influence the future travelers' perceptions and attitudes, such as expectation, confirmation, and destination loyalty, in a longitudinal format by examining previous related studies. Finally, expected results were discussed and several implications were described theoretically and practically.