• Journal of the Korea Society of Computer and Information
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• v.23 no.11
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• pp.75-84
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• 2018

Social engineering attack means to get information of Social engineering attack means to get information of opponent without technical attack or to induce opponent to provide information directly. In particular, social engineering does not approach opponents through technical attacks, so it is difficult to prevent all attacks with high-tech security equipment. Each company plans employee education and social training as a countermeasure to prevent social engineering. However, it is difficult for a security officer to obtain a practical education(training) effect, and it is also difficult to measure it visually. Therefore, to measure the social engineering threat, we use the results of social engineering training result to calculate the risk by system asset and propose a attack graph based probability. The security officer uses the results of social engineering training to analyze the security threats by asset and suggests a framework for quick security response. Through the framework presented in this paper, we measure the qualitative social engineering threats, collect system asset information, and calculate the asset risk to generate probability based attack graphs. As a result, the security officer can graphically monitor the degree of vulnerability of the asset's authority system, asset information and preferences along with social engineering training results. It aims to make it practical for companies to utilize as a key indicator for establishing a systematic security strategy in the enterprise.

• Korean Journal of Community Nutrition
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• v.3 no.5
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• pp.685-694
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• 1998

This cross-sectional study was conducted to describe the changes of plasma cardiovascular disease(CVD) risk factors in Korea. Overnight fasting plasma levels of total cholesterol, high density lipoprotein(HDL)-cholesterol, triacylglycerol and glucose were analyzed. Blood pressure and anthropometric data were also measured. Health practice factors such as smoking status, alcohol consumption and frequency fo exercise were evaluated by a self-administered questionnaire. Questions regarding dietary habits and food preferences were also asked. Seventy eight percent of the subjects had more than one CVD risk factor. Plasma total cholesterol, triacylglycerol, and fasting blood glucose were significantly increased according to the subjects body mass index$(kg/m^2$, BMI), whereas HDL-cholesterol, low density lipoprotein(LDL)-cholesterol and blood pressure showed no significant differences with BMI. Current smokers had significantly high plasma total cholesterol, LDL-cholesterol and triacylglycerol levels. Alcohol consumption significantly increased plasma total cholesterol and fasting blood sugar, but regular exercise had no effects on the plasma CVD risk factors. Overeating and frequency of fast food consumption were positively correlated with the CVD risk score, whereas intake of grains, meats and vegetables were negatively correlated with that score. A stepwise multiple regression analysis was performed to examine the effects of specific dietary factors on plasma lipid levels. For plasma total cholesterol level, the frequency of fast food intake explained 8% of the variance, followed by habitual overeating, frequency of grain intake and high cholesterol food intake(Model $R^2$=22.4%). For plasma triacylglycerol level, preference of oily foods accounted for 7.5% of the variance, followed by eating breakfast, preference of fruit and frequency of grain intake(Model $R^2$=22.0%). The findings suggest that intervention programs to reduce the risk of CVD should focus on health practice through reducing BMI, smoking cessation and moderate or no alcohol drinking. Moreover, desirable dietary habits such as eating breakfast, not overeating and reduced intake of fast food may improve CVD risk.

• Journal of Agricultural Extension & Community Development
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• v.23 no.2
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• pp.169-180
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• 2016

This paper assesses the role of informal institutions in determining risk preference among smallholders in Tigray, Ethiopia. We use data from a household survey conducted by the Institute of Poverty Alleviation and International Development (IPAID). We find that households which participate in Debo, an informal labor-sharing institution, or have a friend from whom they can receive help are less likely to be risk-averse. However, participation in Iddir, a traditional form of insurance, is not significantly associated with risk preference. Hence, the existence of social institutions that provide assistance and social connections through reciprocity may be affording security against risk beyond that brought by more monetary forms of insurance. Given the importance of risk attitude in mediating the adoption of improved agricultural production, a policy suggestion is to provide selected aid to households which are less risk-averse agricultural investors. Also, Debo as a labor-sharing institution may serve as a nexus for managing aid and knowledge sharing.

• Proceedings of the Technology Innovation Conference
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• 1997.07a
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• pp.57-82
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• 1997

This paper empirically examines various personal characteristics and preferences of HRM (Human Resorce Mamagement) systems using data from 968 R&D professionals in 9 private R&D organizations. It identifies different patterns of reward and career development needs associated with 4 types of R&D professionals, who are categorized by personal characteristics: personality and attitude. A productive leader type shows active personal traits (which encompass high scores of need for achievement, risk-taking propensity, tolerance for ambiguity, and self-efficacy) and positive attitudes (which include high scores of job satisfaction, organizational commitment, and low scores of turnover intention), while a cynical bystander type exhibits passive personal traits and negative attitudes toward a job. A passive adapter, who has passive personal characteristics but positive attitudes, and a frustrated champion, who is active in personality but negative in current job attitude, lie in between them. The results reveal that: 1) These four different types of R&D professionals show differences in their education, age and tenure level, and technical performance. 2) They have different career orientations and problem solving styles. 3) They also exhibit different preferences in performance appraisal criteria and rater, and reward structures. Based on these findings, this study suggests a contingent type of human resource management in terms of selection and staffing of R&D professionals, performance appraisal, incentive systems, and career development plans.

• Management & Information Systems Review
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• v.5
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• pp.61-79
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• 2000

This research suggests the strategic adoption methodology of Customer Relationship Management. The backgrounds of CRM is the business environment changing that Market power is shifting to the customer who has unprecedented powers of choice today. The strategic adoption of Customer Relationship Management determines the value, needs and preferences of each customer or customer segment. Customer Relationship Strategy is an explicitly defined plan for how a company has decided to connect with, relate to, and focus on its chosen customers to create value. Deliberate decisions must be made, often involving trade-offs, so that investments are aligned with customer needs and value. Plan defined in terms of target customers value proposition, role in value delivery, and risk/reward sharing. All customers are not created equal; specific customers and/or customers segments are more desirable/valuable to pursue. Key premise of CRM is that value can be created by changing company's business model to better connect with customers. Area of service of Customer Relationship Management are as follows. Portfolio strategy, Market Opportunity Assessment, Brand Equity, Market Positioning, Pricing, Channel Strategy, Market Segmentation. Target Market Identification, Customer LifeTime Value Analysis, Customer Profitability, Customer Connections Economics Analysis. The objects of CRM are maximizing customer service effectiveness, improving customer loyalty, increasing customer service efficiency, optimizing intelligence about customer behaviors and preferences.

• Journal of Yeungnam Medical Science
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• v.40 no.2
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• pp.218-222
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• 2023

A holistic approach to diabetes considers patient preferences, emotional health, living conditions, and other contextual factors, in addition to medication selection. Human and social factors influence treatment adherence and clinical outcomes. Social issues, cost of care, out-of-pocket expenses, pill burden (number and frequency), and injectable drugs such as insulin, can affect adherence. Clinicians can ask about these contextual factors when discussing treatment options with patients. Patients' emotional health can also affect diabetes self-care. Social stressors such as family issues may impair self-care behaviors. Diabetes can also lead to emotional stress. Diabetes distress correlates with worse glycemic control and lower overall well-being. Patient-centered communication can build the foundation of a trusting relationship with the clinician. Respect for patient preferences and fears can build trust. Relevant communication skills include asking open-ended questions, expressing empathy, active listening, and exploring the patient's perspective. Glycemic goals must be personalized based on frailty, the risk of hypoglycemia, and healthy life expectancy. Lifestyle counseling requires a nonjudgmental approach and tactfulness. The art of diabetes care rests on clinicians perceiving a patient's emotional state. Tailoring the level of advice and diabetes targets based on a patient's personal and contextual factors requires mindfulness by clinicians.

• Asia pacific journal of information systems
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• v.34 no.1
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• pp.351-371
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• 2024

This study aims to assess the impact of chatbot usability and demographics on continuous intention to use across different sectors. The research employed Braun's Bot Usability Scale (BUS11) to measure chatbot usability, focusing on accessibility, quality, conversation quality, privacy risk, and response time. A total of 187 participants completed a survey as part of this study. Variance-based SEM was utilized to examine relationships and test hypotheses. This study contributes to the ongoing discourse on chatbot adoption and user behaviour. It enhances the understanding of chatbot usability, highlighting the role of age in continued intention to use chatbots. The findings suggest that different age groups may possess specific preferences and expectations regarding chatbot usability. These differing preferences can influence their intention to continue using this technology. The study reveals that chatbot usability significantly impacts continuous intention to use and that age moderates the relationship between perceived conversation quality, information, privacy, security, and continuous intention to use. Based on the study's results, it is recommended that chatbot designers enhance usability to promote long-term adoption and usage.

• Korean Journal of Clinical Pharmacy
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• v.26 no.3
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• pp.207-212
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• 2016

Objective: Prescription rate of dabigatran and rivaroxaban, which are the direct oral anticoagulants (DOAC), has increased. We have analyzed the prescription trend and medication use of dabigatran and rivaroxaban in patients with non-valvular atrial fibrillation (NVAF). Methods: It was retrospectively studied from September 2012 to April 2014 using the electronic medical records and the progress notes. Patients with NVAF (n=424) were evaluated on the medication use, prescribing preferences, adverse drug reactions (ADRs) and the availability of prescription reimbursement of dabigatran (n=210) and rivaroxaban (n=214). Results: Dabigatran was prescribed higher than rivaroxaban (23.3% versus 7.5%, p<0.001) in the neurology department, but rivaroxaban was prescribed higher compared to dabigatran in the cardiology department (87.4% versus 74.3%, p<0.001). Dabigatran was prescribed more than rivaroxaban in high risk patients with CHADS2 score ${\geq}3$ (44.3% versus 31.3%, p=0.006). Dabigatran patients seemed to have more ADRs than patients with rivaroxaban (25.2% versus 11.2%, p<0.001), but no serious thrombotic events and bleeding were found. Only 35.6% (n=151) were eligible for prescription reimbursement by the National Health Insurance (NHI). Bridging therapy (86, 31.5%) and direct-current cardioversion (57, 20.2%) were main reasons of ineligibility for reimbursement. Conclusion: Prescription preferences were present in choosing either dabigatran or rivaroxaban for patients with NVAF. Inpatient protocols and procedures considering patient-factors in NVAF need to be developed.

• Korean Journal of Community Nutrition
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• v.3 no.3
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• pp.410-422
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• 1998

To promote health status, strategies and interventions to improve nutrition should be based on the proper diagnosis of the subject's eating patterns. The elderly usually have traditional food habits and preferences, and it is very difficult to change them. This study was designed to identify dietary behavior and food preference of the elderly, in order to provide baseline data for the Elderly Nutrition Intervention Program for the Public Health Center. A survey questionnaire was made for use by trained interviewers to query 151elderly people from 5 community elderly centers located in Suwon, Korea. The majority of them ate regularly and partook of all available side dishes. Their major dietary problems were frequent consumptions of salty foods, and eating too quickly. They consumed grains and vegetables regularly, but seldomly ate dairy products, fruits, meat and food prepared with oil. They also tended to eschew ready made processed food, high cholesterol food, and fast food. Also they did not dine out as much as younger people. Desirable eating habit score were not significantly influenced by socioeconomic variables and nutrition-related characteristics. These included nutrition knowledge, Nutritional Risk Index(NRI) and a score of health concerns. However, meal balance scores were significantly higher in the younger group(p<.05), the higher household income group(p<.05). According to stepwise multiple regression analysis, NRI was the most important determinant of a desirable eating habit score for the male elderly, whereas the score of health concerns was mo9st important for female elderly subjects. The greatest predictor of the meal f balance score was nutrition knowledge. The elderly liked sweet tasting food, grains, rice, stews and Korean style soups. They disliked sour food, dairy products, processed food, and bread. The results indicate that the Elderly Nutrition Education Program should focus on increasing consumption of dairy products, fruits and food with oil, prepared by traditional Korean cooking methods. It also suggests that the program planning should consider the socioeconomic status of the elderly, such as income and education level, as well as concern for health.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.897-907
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• 2020

The development of information technology and the demands of society on an application in an operating system, as well as increasing the specifications and sophistication of smartphones, require banks to make changes to their mobile banking applications. The transformation of the mobile banking application into a digital banking application conducted by banks has made users re-evaluate based on their preferences. This study presents the behavior of users of digital banking applications in Yogyakarta, Indonesia. The hypothesis model is based on Technology Acceptance Model (TAM) with additional factors of the social image, perceived risk and perceived trust adopted from Muñoz-Leiva et al. (2017). The methodology in this study includes data collection through questionnaires distributed online and data analysis using the Structural Equation Model. The results of this study illustrate that the perceived trust and perceived risk have a more dominant part in influencing user attitude and user intention to use digital banking. Meanwhile, social image, perceived ease-of-use and perceived usefulness are not significant in influencing user attitude and user intention to use digital banking. The implication of this research helps to determine the right communication and strategy so that more users with more benefits can utilize this digital banking application.