• Title/Summary/Keyword: Data evidence analysis

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Collection and Analysis of the Digital Evidence for Android and iOS Smart Phones (Android & iOS 기반 스마트폰의 디지털 증거 수집 및 분석)

  • Goo, Bon-Min;Kim, Ju-Young;Lee, Tae-Rim;Shin, Sang-Uk
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.1
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    • pp.167-175
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    • 2011
  • As recent emergence of smart phones, mobile services are growing in various forms. Many companies released smart phones of various operating systems such as Window Mobile, Android and iOS. Currently, most popular smart phone operating systems are Android and iOS. Due to the various features of these smart phone, they can be employed to various crimes. From the point of view of digital forensics, this paper analyzes the evidence data which needs to be collected in the smart phone, and implements the evidence analysis tool. By using this tool, it can reduce the time and effort for collecting and analyzing the evidence of the smart phone.

The Moderating Effect of Operations Efficiency on the Links between Environmental Performance and Financial Performance: The UK Evidence

  • Ramanathan, Ramakrishnan;Akanni, Adewole Oluwatomi
    • Asian Journal of Innovation and Policy
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    • v.4 no.1
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    • pp.76-102
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    • 2015
  • Drawing upon the resource-based-view of a firm, we investigate the moderating role of operations efficiency on the link between environmental and financial performance. Extant literature has highlighted that operations efficiency is closely associated with the environmental/financial performance of firms, but no empirical study has investigated how operations efficiency affects the link between environmental and financial performance. We argue that operations efficiency could act as a moderator of this relationship. To test the hypothesized relationships, we have used available secondary quantitative UK data, namely data on the environmental/financial performance of Britain's most admired companies. By employing moderated regression analysis, we have found strong evidence for the moderating impact of operations efficiency. Our results are useful to managers in that they show that improvements in operations efficiency in a company can also help improve environmental/financial performance and vice versa.

The Effects of Characteristics of Nurses on Knowledge and Nursing Performance Evaluation of Evidence Based Hemodialysis Nursing Practice in Hemodialysis Unit Nurses (혈액투석실에서 근무하는 간호사의 특성이 근거기반 혈액투석간호지식과 수행정도에 미치는 영향)

  • Lee, Hee Soo;Jung, Eun Sook;Choi, Kyong Ah;Yu, Seung Oh
    • Journal of Korean Clinical Nursing Research
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    • v.22 no.2
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    • pp.225-237
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    • 2016
  • Purpose: The purpose of this study was to identify the effects of characteristics of nurses on knowledge and nursing performance of evidence based hemodialysis nursing practice among hemodialysis unit nurses. Methods: The participants were 180 nurses working in hemodialysis unit for more than 6 months in 23 private and general hospitals in Seoul and Gyeonggido. Data were collected from March 30th to April 15t in 2016 and were analyzed using stepwise regression analysis, descriptive statistics, t-test and ANOVA. Results: Nurses' knowledge on evidence based hemodialysis nursing practice was $15.87{\pm}4.52$ out of 23 points. Type of hospitals working in and adherence to evidence based hemodialysis guidelines were significant factors to knowledge and these two factors explained 30.0%. Nurses' nursing performance on evidence-based hemodialysis nursing practice was 4.52 out of 5 points. The performace level was significantly related to total nurisng career and necessity of hemodialysis nursing education and these two factors explained 8.0%. Conclusion: A development of guideline and continuing education is necessary for improving knowledge and performance of evidence based hemodialysis nursing practice.

Developing a Framework for the Implementation of Evidence Collection System: Focusing on the Evaluation of Information Security Management in South Korea

  • Choi, Myeonggil;Kang, Sungmin;Park, Eunju
    • Journal of Information Technology Applications and Management
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    • v.26 no.5
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    • pp.13-25
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    • 2019
  • Recently, as evaluation of information security (IS) management become more diverse and complicated, the contents and procedure of the evidence to prepare for actual assessment are rapidly increasing. As a result, the actual assessment is a burden for both evaluation agencies and institutions receiving assessments. However, most of them reflect the evaluation system used by foreign government agencies, standard organizations, and commercial companies. It is necessary to consider the evaluation system suitable for the domestic environment instead of reflecting the overseas evaluation system as it is. The purpose of this study is as follows. First, we will present the problems of the existing information security assessment system and the improvement direction of the information security assessment system through analysis of existing information security assessment system. Second, it analyzes the technical guidance for information security testing and assessment and the evaluation of information security management in the Special Publication 800-115 'Technical Guide to Information Security Testing and Assessment' of the National Institute of Standards and Technology (NIST). Third, we will build a framework to implement the evidence collection system and present a system implementation method for the '6. Information System Security' of 'information security management actual condition evaluation index'. The implications of the framework development through this study are as follows. It can be expected that the security status of the enterprises will be improved by constructing the evidence collection system that can collect the collected evidence from the existing situation assessment. In addition, it is possible to systematically assess the actual status of information security through the establishment of the evidence collection system and to improve the efficiency of the evaluation. Therefore, the management system for evaluating the actual situation can reduce the work burden and improve the efficiency of evaluation.

IMPROVING SOCIAL MEDIA DATA QUALITY FOR EFFECTIVE ANALYTICS: AN EMPIRICAL INVESTIGATION BASED ON E-BDMS

  • B. KARTHICK;T. MEYYAPPAN
    • Journal of applied mathematics & informatics
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    • v.41 no.5
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    • pp.1129-1143
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    • 2023
  • Social media platforms have become an integral part of our daily lives, and they generate vast amounts of data that can be analyzed for various purposes. However, the quality of the data obtained from social media is often questionable due to factors such as noise, bias, and incompleteness. Enhancing data quality is crucial to ensure the reliability and validity of the results obtained from such data. This paper proposes an enhanced decision-making framework based on Business Decision Management Systems (BDMS) that addresses these challenges by incorporating a data quality enhancement component. The framework includes a backtracking method to improve plan failures and risk-taking abilities and a steep optimized strategy to enhance training plan and resource management, all of which contribute to improving the quality of the data. We examine the efficacy of the proposed framework through research data, which provides evidence of its ability to increase the level of effectiveness and performance by enhancing data quality. Additionally, we demonstrate the reliability of the proposed framework through simulation analysis, which includes true positive analysis, performance analysis, error analysis, and accuracy analysis. This research contributes to the field of business intelligence by providing a framework that addresses critical data quality challenges faced by organizations in decision-making environments.

Multi-Behavior Analysis Based on Google Archiving Data (구글 아카이빙 데이터 기반 멀티 행위 분석)

  • Yeeun Kim;Sara Hong;Seongmin Kim
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.5
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    • pp.737-751
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    • 2023
  • The importance of digital forensics in the cloud environment is increasing as businesses and individuals move their data from On-premise to the cloud. Cloud data can be stored on various devices, including mobile devices and desktops, and encompasses a variety of user behavior artifacts, such as information generated from linked accounts and cloud services. However, there are limitations in securing and analyzing digital evidence due to environmental constraints of the cloud, such as distributed storage of data and lack of artifact linkage. One solution to address this is archiving services, and Google's Takeout is prime example. In this paper, user behavior data is analyzed for cloud forensics based on archiving data and necessary items are selected from an investigation perspective. Additionally, we propose the process of analyzing selectively collected data based on time information and utilizing web-based visualization to meaningfully assess artifact associations and multi-behaviors. Through this, we aim to demonstrate the value of utilizing archiving data in response to the increasing significance of evidence collection for cloud data.

The Causal Structure to the Scientific Motivation and the Scientific Literacy Competency in Pre-service Elementary Teachers (초등예비교사의 과학 동기유발과 과학적 소양의 역량에 대한 인과구조)

  • Kim, Dong-Uk
    • Journal of Korean Elementary Science Education
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    • v.36 no.3
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    • pp.208-218
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    • 2017
  • This study was to investigate factors and disclose causal model of the scientific literacy competency about the motivation for science and the scientific literacy competency. The 3 grade university students and the 1 grade university students as pre-service elementary teachers were participated to questionnaire investigation. The data were analyzed by the factor analysis method and the structural equation model method, and the following results were obtained. First, the 3 grade university students and the 1 grade university students perceived the science interest factors and science usefulness factors as the motivation for science, and also revealed the scientific problem recognition factor and the scientific evidence use factor as the scientific literacy competency. Second, the science interest factor had a greater effect on the scientific problem recognition factor than the scientific evidence use factor in both the 3 grade and 1 grade university students. In the path from the science usefulness factor to the scientific problem recognition factor, the science usefulness factor of the 3 grade university students had a greater influence on the direct route to the scientific problem recognition factor than that of the 1 grade university students. In the path from the science usefulness factor to the scientific evidence use factor, the science usefulness factor of the 1 grade university students influenced more on the direct route to the scientific evidence use factor than that of the 3 grade university students.

Effects of Visible and Invisible Factors and Buying Impulse Intention upon Store Loyalty: Focused on Physical Evidence and Word-of-Mouth of Discount Store

  • Yang, Hoe-Chang;Ahn, Ho-Keun;Lee, Young-Chul
    • Journal of Distribution Science
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    • v.11 no.11
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    • pp.57-61
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    • 2013
  • Purpose - This study aimed to understand the influence of visible factors directly shown to and experienced by consumers such as physical evidence, and invisible factors obtained through acquaintances or other experienced consumers such as word-of-mouth, in the discount stores' marketing communication on impulse buying intention and store loyalty. Research Design, Data, and Methodology - This study examined the effect of factors in discount stores' marketing communication, for instance, physical evidence, word-of-mouth, and buying impulse intention. The questionnaire survey resulted in 68 completed questionnaires. Results - Physical evidence and word-of-mouth have a statistically significant positive effect on store loyalty. The results of regression analysis regarding whether visible or invisible factors have more impact showed that word-of-mouth has a statistically significant positive effect on store loyalty. With regard to impulse buying intention, only word-of-mouth was statistically significant. Conclusion These results suggested that visible and invisible factors that appeal to customers are very important. In particular, the results suggested that stores should create invisible factors (e.g., positive word-of-mouth) for their customers.

Regional Multinationals: Evidence from Wal-Mart's Withdrawal from the South Korean Market

  • AHN, Se-Yeon
    • East Asian Journal of Business Economics (EAJBE)
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    • v.9 no.1
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    • pp.53-61
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    • 2021
  • Purpose - This study aims to understand the phenomenon called "regional multinational" in the geographical expansion of multinational enterprises and to find some evidence whether globalization of multinational enterprises tends to have a strong home region bias. Research design, data, and methodology - Through an in-depth case analysis, we analyze the series of strategic behaviors Wal-Mart made in South Korea from its entry in 1998 to its withdrawal in 2006. Then, we discuss the plausible causes of this exit, seeking to provide some evidence on the "regional multinational" phenomenon. Result - This study finds some evidence on the regional-based expansion of multinational enterprises. Our case study shows that Wal-Mart in South Korea focused on global standardization strategy and made an exit from the market as they were faced with increasing localization demands. From the perspective of multinational enterprises' globalization strategy, Wal-Mart's exit from the South Korean market can be considered as a strategic exit. Conclusion - The findings of this study suggest that while national responsiveness and localized adaptation are considered as a panacea for penetrating international markets, in reality most multinational enterprises attempt to add value primarily by capitalizing on similarities across markets and remain as regional multinationals.

Cohort Profile: Korean Tuberculosis and Post-Tuberculosis Cohort Constructed by Linking the Korean National Tuberculosis Surveillance System and National Health Information Database

  • Jeong, Dawoon;Kang, Hee-Yeon;Kim, Jinsun;Lee, Hyewon;Yoo, Bit-Na;Kim, Hee-Sun;Choi, Hongjo
    • Journal of Preventive Medicine and Public Health
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    • v.55 no.3
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    • pp.253-262
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    • 2022
  • We aimed to review the current data composition of the Korean Tuberculosis and Post-Tuberculosis Cohort, which was constructed by linking the Korean Tuberculosis Surveillance System (KNTSS; established and operated by the Korean Disease Control and Prevention Agency since 2000) and the National Health Information Database (NHID; established by the National Health Insurance Service in 2012). The following data were linked: KNTSS data pertaining to patients diagnosed with tuberculosis between 2011 and 2018, NHID data of patients with a history of tuberculosis and related diseases between 2006 and 2018, and data (obtained from the Statistics Korea database) on causes of death. Data from 300 117 tuberculosis patients (177 206 men and 122 911 women) were linked. The rate of treatment success for new cases was highest in 2015 (86.7%), with a gradual decrease thereafter. The treatment success rate for previously treated cases showed an increasing trend until 2014 (79.0%) and decreased thereafter. In total, 53 906 deaths were confirmed among tuberculosis patients included in the cohort. The Korean Tuberculosis and Post-Tuberculosis Cohort can be used to analyze different measurement variables in an integrated manner depending on the data source. Therefore, these cohort data can be used in future epidemiological studies and research on policy-effect analysis, treatment outcome analysis, and health-related behaviors such as treatment discontinuation.