• Title/Summary/Keyword: Software Risk Factors

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A Study on IT Based Risk Management System Development for Business Continuity Management : Centering on Cases at Automobile Manufacturing Industry (비즈니스 연속성 확보를 위한 IT 기반 위험관리체계 구축 연구 : 자동차 제조 산업 사례를 중심으로)

  • Lee, Joontaik;Kim, Yanghoon;Na, Youngsub;Chang, Hangbae
    • The Journal of Society for e-Business Studies
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    • v.18 no.2
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    • pp.69-79
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    • 2013
  • Management activities of Business was globalization and had changed to a global management. Under these circumstances, business management factors and the environment has changed rapidly. Accordingly, the number of risk categories in business has increased. Especially in recent years, the convergence of industry with IT has a pivotal role in the industry's business processes. However, information systems in the Internet environment increased the efficiency of business management. Also, it increased the degree of risk and the occurrence ripple effects. In this study, we proposed risk management framework for ensuring business continuity management in information system based automobile manufacturing industry. In detail, we analysis business process in automotive manufacturing industry and identify information assets and we analysis and assess the risk.

Factors Influencing Maternal Depression: Secondary Data Analysis (영유아 어머니의 우울에 영향하는 요인: 이차 자료분석)

  • Kim, Chul-Gyu;Choi, Mi-Young
    • Korean Journal of Adult Nursing
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    • v.28 no.3
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    • pp.288-301
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    • 2016
  • Purpose: The purpose of this study was to identify association between maternal depression and multiple contextual factors in 1,519 mothers in Korea who participated in the 2009 Panel Study of Korean Children (PSKC). Methods: The second wave data which was a comprehensive longitudinal data set with a nationally representative birth cohort was analyzed using SAS 9.3 software. Kessler depression scale was used for this study. Results: Of the mothers, 23.0% reported being mild to moderate depression and 4.5% of the mothers reported severe depression. The factors influencing maternal depression include; mother's self-efficacy, mother's marital conflict, mother's social support, infant's and toddler's emotionality, mother's smoking and infant's feeding & eating of daily routine. These variables explained 39.5% of maternal depression. Conclusion: The results of this study suggest that the identified factors for maternal depression should be included in an intervention program to reduce the risk of depression.

Factors Affecting Women Micro and Small-Sized Enterprises' Success: A Case Study in Jordan

  • THAHER, Lubna Mohammad;RADIEAH, Nor Mohd;WAN NORHANIZA, Wan Hasan
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.727-739
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    • 2021
  • Over the past decades, the Jordanian government has made great efforts to help poor women start small businesses by providing microcredit and facilitating financial services. Although in Jordan almost hundreds of thousands of women have the ability to contribute more fully to their economy, they are reluctant to do so. Women's participation in economic activities in 2016 was only 13.2%, while the unemployment rate for Jordanian women was 24.1%. The decline in women's participation in small business management has gradually become an important issue following the trial of more than 13,000 Jordanian women for non-payment of their micro-loans. This study aims to identify the factors that hinder Jordanian women from achieving job stability. In this qualitative study, a semi-structured interview method with sixteen open-ended questions was used to collect relevant data. A purposeful sampling method is also used to select participants. To analyze the data, this study used NVivo 11 software as a method. Using System Theory, this study showed that women's failure depends on three factors: women entrepreneurs, the environment around women entrepreneurs, and micro-financial institutions. Findings of this study suggest that strengthen women's entrepreneurship sustainability and minimize the risk of failure should be done through integrated strategies include these three domains.

Spatial Analysis of Breast Cancer Incidence in Iran

  • Mahdavifar, Neda;Pakzad, Reza;Ghoncheh, Mahshid;Pakzad, Iraj;Moudi, Asieh;Salehiniya, Hamid
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.sup3
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    • pp.59-64
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    • 2016
  • Breast cancer (BC) is the most common cancer in females (27% of the total) and the main cause of death (16%) due to cancer in women in developed and developing countries. Variations in its incidence rate among geographical areas are due to various contributing factors. Since there have been a lack of studies on this topic in our country, the present spatial analysis of breast cancer incidence in Iran in 2009 was conducted using data from the national cancer registry system. The reported incidences of the disease were standardized according to the World Health Organization population and the direct method. Then data was inserted into the GIS software and finally, using the Hot Spot Analysis (Geties-Ord Gi), high-risk areas were drawn. Provinces with incidences 1.96 SD higher or lower than the national average were considered as hot spots or cold spots, at the significance level of 0.05%. In 2009, a total of 7,582 cases of BC occurred in Iran. The annual incidence was 33.2 per hundred thousand people. Our study showed that the highest incidence of BC in women occurred in the central provinces of the country, Tehran, Isfahan, Yazd, Markazi and Fars. The results of hot spots analysis showed that the distribution of high-risk BC was focused in central parts of Iran, especially Isfahan province (p <0.01). The other provinces were not significantly different from the national average. The higher incidence in central provinces may be due to greater exposure to carcinogens in urban areas, a Western lifestyle and high prevalence of other risk factors. Further epidemiological studies about the etiology and early detection of BC are essential.

An Analysis of The Correlation between Breast-feeding, Bone Mineral Density and Metabolic Syndrome in Elderly Women (여성노인의 대사증후군과 모유수유, 골밀도와의 연관성 분석)

  • Hwang, Jeong Hee
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.3
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    • pp.51-58
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    • 2021
  • Women are reported to have increased risk of metabolic syndrome after menopause. Nevertheless, there is a lack of study on the convergent association between breast-feeding, bone mineral density(BMD) and metabolic syndrome due to women's childbirth. In this study, the data of 939 elderly women using raw data from the fifth Korean National Health and Nutrition Examination Survey(KNHANES V-1 and 2) in 2010 and 2011 were analyzed. The correlation between breast-feeding children, BMD and metabolic syndrome was analyzed by dividing them into three groups based on the number of breast-feeding children. As a result of the analysis, no specific association was found between risk factors of metabolic syndrome and BMD according to the increase in the number of breast-feeding children after adjustment for confounders. However, elderly women with a large number of breast-feeding children showed a significant association with more risk factors of metabolic syndrome. These findings can be used as a basic material for the prevention and diagnosis of metabolic syndrome and health care in elderly women.

A Study on Developing the Compliance for Infringement Response and Risk Management of Personal Information to Realize the Safe Artificial Intelligence Services in Artificial Intelligence Society (지능정보사회의 안전한 인공지능 서비스 구현을 위한 개인정보 침해대응 및 위기관리 컴플라이언스 개발에 관한 연구)

  • Shin, Young-Jin
    • Journal of Convergence for Information Technology
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    • v.12 no.5
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    • pp.1-14
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    • 2022
  • This study tried to suggest crisis management compliance to prevent personal information infringement accidents that may occur in the process because the data including personal information is being processed in the artificial intelligence (AI) service process. To this end, first, the AI service provision process is divided into 3 processes such as service planning/data design and collection process, data pre-processing and purification process, and algorithm development and utilization process. And 3 processes are subdivided into 9 stages following to personal information processing stages to infringe personal information. All processes were investigated with literature and experts' Delphi. Second, the investigated personal information infringement factors were selected through FGI, Delphi, etc. for experts. Third, a survey was conducted with experts on the severity and possibility of each personal information infringement factor, and the validity and adequacy of the 94 responses were verified. Fourth, to present appropriate risk management compliance for personal information infringement factors in AI services, a method for calculating the risk level of personal information infringement is prepared by utilizing the asset value of personal information, personal information infringement factors, and the possibility of infringement accidents. Through this, the countermeasures for personal information infringement incidents were suggested according to the scored risk level.

Comparison of Feature Selection Methods Applied on Risk Prediction for Hypertension (고혈압 위험 예측에 적용된 특징 선택 방법의 비교)

  • Khongorzul, Dashdondov;Kim, Mi-Hye
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.3
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    • pp.107-114
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    • 2022
  • In this paper, we have enhanced the risk prediction of hypertension using the feature selection method in the Korean National Health and Nutrition Examination Survey (KNHANES) database of the Korea Centers for Disease Control and Prevention. The study identified various risk factors correlated with chronic hypertension. The paper is divided into three parts. Initially, the data preprocessing step of removes missing values, and performed z-transformation. The following is the feature selection (FS) step that used a factor analysis (FA) based on the feature selection method in the dataset, and feature importance (FI) and multicollinearity analysis (MC) were compared based on FS. Finally, in the predictive analysis stage, it was applied to detect and predict the risk of hypertension. In this study, we compare the accuracy, f-score, area under the ROC curve (AUC), and mean standard error (MSE) for each model of classification. As a result of the test, the proposed MC-FA-RF model achieved the highest accuracy of 80.12%, MSE of 0.106, f-score of 83.49%, and AUC of 85.96%, respectively. These results demonstrate that the proposed MC-FA-RF method for hypertension risk predictions is outperformed other methods.

Factors for Postoperative Gallstone Occurrence in Patients with Gastric Cancer: a Meta-analysis

  • Chen, Xiang-Jun;Li, Nian;Huang, Ying-De;Ren, Shuang;Liu, Fang;Chen, Lian;Wang, Yong;Chen, Min
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.2
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    • pp.877-881
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    • 2014
  • Objective: To evaluate risk factors for gallstones after gastrectomy. Methods: To identify documents published from 1990 to 2011 the Pubmed, Cochrane Library, Springer Link, CBM and WanFang databases were searched and a meta-analysis was performed with RevMan 5.2 software for odds ratios and 95%CIs. Results: Fifteen studies were selected for the meta-analysis. The pooled ORs [95%CIs] were 0.56 [0.43, 0.73], (P<0.0001) for digestive tract reconstruction, 0.80 [0.54, 1.17], (P=0.25) for pylorus preservation, 0.33[0.15, 0.75], (P=0.008) for resection scope of stomach, 0.33 [0.15, 0.75], (P=0.008) for lymphadenectomy, and 0.13 [0.05, 0.33], (P<0.0001) for vagotomy. Conclusions: Digestive tract physical reconstruction and vagus nerve preservation can reduce the morbidity of gallstones after gastrectomy. Total gastrectomy can add to the morbidity of galltones as does increasing the degree of lymph node dissection. There was no significant difference in gallstones with or without pylorus preservation.

Exploring the Contributory Factors of Confined Space Accidents Using Accident Investigation Reports and Semistructured Interviews

  • Naghavi K., Zahra;Mortazavi, Seyed B.;Asilian M., Hassan;Hajizadeh, Ebrahim
    • Safety and Health at Work
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    • v.10 no.3
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    • pp.305-313
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    • 2019
  • Background: The oil and gas industry is one of the riskiest industries for confined space injuries. This study aimed to understand an overall picture of the causal factors of confined space accidents through analyzing accident reports and the use of a qualitative approach. Methods: Twenty-one fatal occupational accidents were analyzed according to the Human Factors Analysis and Classification System approach. Furthermore, thirty-three semistructured interviews were conducted with employees in different roles to capture their experiences regarding the contributory factors. The content analyses of the interview transcripts were conducted using MAXQDA software. Results: Based on accident reports, the largest proportions of causal factors (77%) were attributed to the organizational and supervisory levels, with the predominant influence of the organizational process. We identified 25 contributory factors in confined space accidents that were causal factors outside of the original Human Factors Analysis and Classification System framework. Therefore, modifications were made to deal with factors outside the organization and newly explored causal factors at the organizational level. External Influences as the fifth level considered contributory factors beyond the organization including Laws, Regulations and Standards, Government Policies, Political Influences, and Economic Status categories. Moreover, Contracting/Contract Management and Emergency Management were two extra categories identified at the organizational level. Conclusions: Preventing confined space accidents requires addressing issues from the organizational to operator level and external influences beyond the organization. The recommended modifications provide a basis for accident investigation and risk analysis, which may be applicable across a broad range of industries and accident types.

A component-based construction process control system for increasing modifiability (변경 용이성 증대를 위한 컴포넌트 기반의 건설공정관리시스템)

  • Kim, Eui-Ryong;Kim, Sin-Ryeong;Kim, Young-Gon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.6
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    • pp.303-309
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    • 2015
  • The construction process and safety management are an important means of the total projects for the decision-making. As an important management tool of cost, resources and risks of the project, the analysis and evaluations are recorded as an important asset of company. Also, it has become a safety device that could reduce risk factors repeatedly by the decision-making methods for the future similar projects. Component-based software, by reusing the useful part, which was prepared without newly developing all that, by building a new software product, the long-term continuous/steady through the provision of a component-based software, by securing a sales base, it should be the development and supply a wide range of applications. In this paper, we propose the construction process control systems for increasing modifiability of process creation and modification for business efficiency in accordance with the diverse trends in the construction process as a low-cost niche through a component-based software supplier to solve these problems.