• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.43 no.4
• /
• pp.76-83
• /
• 2020

Postal logistics organizations are characterized as having high labor intensity and short response times. These characteristics, along with rapid change in mail volume, make load scheduling a fundamental concern. Load analysis of major postal infrastructures such as post offices, sorting centers, exchange centers, and delivery stations is required for optimal postal logistics operation. In particular, the performance of mail traffic forecasting is essential for optimizing the resource operation by accurate load analysis. This paper addresses a traffic forecast problem of postal parcel that arises at delivery stations of Korea Post. The main purpose of this paper is to describe a method for predicting short-term traffic of postal parcel based on self-similarity analysis and to introduce an application of the traffic prediction model to postal logistics system. The proposed scheme develops multiple regression models by the clusters resulted from feature engineering and individual models for delivery stations to reinforce prediction accuracy. The experiment with data supplied by main postal delivery stations shows the advantage in terms of prediction performance. Comparing with other technique, experimental results show that the proposed method improves the accuracy up to 45.8%.

• Asian Journal of Innovation and Policy
• /
• v.11 no.1
• /
• pp.110-147
• /
• 2022

Many megacities are exposed to natural hazards such as earthquakes, and when located in coastal regions, are also vulnerable to hurricanes and tsunamis. The physical infrastructures of transportation systems in megacities have become so complicated that very few organizations can understand their response to extreme events such as earthquakes and can effectively mitigate subsequent economic downfalls. The technological advances made in recent years to support these complex systems have not grown as fast as the rapid demand on these systems burdened by population shift toward megacities. The objective of this paper is to examine the risks imposed on and recoveries of transportation systems in megacities as the result of extreme events such as an earthquake. First, the physical damage to transportation infrastructure, loss of the transportation system performance, and the corresponding economic loss from disruptions to passenger and freight traffic is evaluated. Then, traffic flows are re-routed to reduce vehicles' delay due to earthquakes using a microscopic traffic flow simulator with an optimization model and macroscopic terminal simulator. Finally, the economic impact of the earthquake is estimated nationwide. Southern California is regarded as the region of study. The results demonstrate the effectiveness of the integrated model and provide what and how to prepare innovative resilience policies of urban infrastructure for a natural disaster occurrence.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.9
• /
• pp.301-311
• /
• 2021

Most leadership styles are generally designed to enhance the cognitive and behavioral skills of leaders with the implicit assumption that this would ultimately translate into high performance. As we are moving towards Industry 4.0, organizations must employ leadership styles that will help the organization succeed. Thus, the objective of this paper is to confirm the determinant factors for Fourth Industrial Revolution (4IR) leadership attributes in Malaysian manufacturing companies. Stratified sampling was used to select the sample. Data was collected using the online survey method, where the response rate was 43 percent. The respondents consisted of respondents aged from 31-40 years old, with 69 respondents. In terms of race, the highest number of respondents are the Malays. Questionnaires were distributed to middle and top-level managers from manufacturing companies which were listed in the Federation of Malaysian Manufacturers (FMM). Confirmatory Factor Analysis (CFA) was used to confirm the reliability and validity of the construct. Based on the analysis, 66 items could be used to measure the 4IR leadership attributes. The validation of 4IR leadership can also provide predictive implications on improving leaders' performance, given the different attributes confirmed by the findings.

• Journal of Distribution Science
• /
• v.19 no.8
• /
• pp.81-89
• /
• 2021

Purpose: Traditional charity retail needs to change its communication in the online environment. This article examines the effectiveness of communication by online charity organizations in terms of the type of messages being delivered. Research design, data and methodology: Study 1 based on a sample of 120 Korean adults, we investigated whether charity asking messages for domestic people, compared to those for foreign people, prompt more favorable evaluations when framed with low (vs. high) construal levels. In Study 2, with 120 Korean adults sample, we tested whether emotional message appeals prompt a more favorable response than rational messages when framed in a socially close. Results: According to the result of Study 1, for the domestic recipients, donation messages situated in the near, compared to the distant, future induced more favorable reactions from potential donors. Moreover, in Study 2, emotional (vs. rational) message appeals generated more positive donation intentions when they were framed in the socially close situation. Conclusions: This research contributes that differing consumer construal have important implications for how marketing communication might best gain charitable support. This suggests that marketers who design a donation message should consider message's appeal and type to activate the potential donors' willingness to participate in the campaign.

• The Journal of Asian Finance, Economics and Business
• /
• v.10 no.2
• /
• pp.15-27
• /
• 2023

The purpose of this research is to investigate the impact of Business Intelligence (BI) on the relation between Big Data Analytics (BDA) and Financial Performance (FP), at the beginning we reviewed the academic accounting and finance literature to develop the theoretical framework of business intelligence, big data and financial performance in terms of definition, motivations and theories, then we conduct an empirical analysis based on questionnaire-base survey data collected. The researchers identified the study population in the joint-stock companies listed on the Egyptian Stock Exchange and operating in the sectors and activities related to modern technologies in information systems, big data analytics, and business intelligence, in addition to the auditing offices that review the financial reports of these companies, and The sector closest to the research objective is the communications, media, and information technology sector, where the survey list was distributed among the sample companies with (15) lists for each company, and (15) lists for each audit office, so that the total sample becomes (120) individuals (with a response rate 83.3%), The results show, First, Big data analytics significantly affect organizations' financial performance, second, Business intelligence mediates (partial) the relationship between big data analytics and financial performance.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.83-90
• /
• 2009

Natural disasters, such as the recent floods in the Midwest, Hurricane Ike in the Gulf coast region (U.S.), and the earthquake in Sichuan (China), cause severe damage to the infrastructure as well as the associated industries and communities that rely on the infrastructure. The estimated damages due to Hurricane Ike in 2008 were a staggering $27 billion, the third worst in U.S. history. In addition, the worst earthquake in three decades in Sichuan resulted in about 90,000 people dead or missing and $20 billion of the estimated loss. A common observation in the analyses of these natural disaster events is the inadequacy of critical infrastructure to withstand the forces of natural calamities and the lack of mitigation strategies when they occur on the part of emergency-related organizations, industries, and communities. If the emergency-related agencies could identify and fortify the vulnerable critical infrastructure in the preparedness stage, the damage and impacts can be significantly reduced. Therefore, it is important to develop a decision support system (DSS) for identifying region-specific mitigation strategies based on the inter-relationships between the infrastructure and associated industries and communities in the affected region. To establish effective mitigation strategies, relevant data were collected from the affected areas with respect to the technical, social, and economic impact levels. The data analysis facilitated identifying the major factors, such as vulnerability, criticality, and severity, for developing a DSS. Customized mitigation strategies that will help agencies prepare, respond, and recover according to the disaster response were suggested.

• Journal of the Korean Society of Safety
• /
• v.38 no.1
• /
• pp.87-92
• /
• 2023

The number of unmanned light rail train operators is continuously increasing in Korea. In a failure event during an operation due to the nature of the unmanned operation, recovery is performed based on the remote control. However, if remote recovery is not feasible, safety personnel arrive at the train to resume the train operation. There are regulations on safety personnel and the suspension time of the train operation. However, there is currently no rule for safety personnel deployment. Currently, railway operating organizations operate in three scenarios: safety personnel on board trains, stationed at stations, and deployed at major stations. Four major factors influence the downtime for each emergency response scenario. However, these four influencing factors vary too much to predict results with simple calculations. In this study, four influencing factors were considered as random variables with high uncertainty. In addition, the Monte Carlo method was applied to each scenario for the safety personnel deployment to predict train service downtime. This study found a 17% difference in train service suspension by safety personnel deployment scenario. The results of this study can be used in setting service goals, such as standards for future safety personnel placement and frequency of service interruptions.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.1
• /
• pp.205-216
• /
• 2009

The aim of this study is to propose an integrated operation plan of information call services by multi-connecting call services which are now being serviced by each different call number services and by providing one stop service which organically links alternative transportations such as railroad, air, and bus and also related organizations as well as road traffic information. For the objective, we analyzed the current status of Korean and foreign country systems and reviewed operation technology and technical specifications of the integrated system according to 3 steps, i.e. infrastructure procurement, test bed and extended completion, stabilization and high valuable services completion. Throughout the result of this study, traffic information one stop service, convenient service, diverse related information provision service, real-time information provision, and efficient system are expected to be implemented in the traffic information call service.

• Journal of Platform Technology
• /
• v.12 no.1
• /
• pp.77-84
• /
• 2024

With the recent increase in the use of artificial intelligence, AI TRiSM data management within organizations has become important, and thus securing data reliability has emerged as an essential requirement for data-based decision-making. Digital content is transmitted through the unreliable Internet to the cloud where the digital content storage is located, then used in various applications. When detecting anomaly of data, it is difficult to provide a function to check content modification due to its damage in digital content systems. In this paper, we design a technique to guarantee the reliability of video data by expanding the function of data annotation. The designed annotation technique constitutes a prototype based on gRPC to handle a request and a response in a webUI that generates classification label and Merkle tree of given video data.

• Journal of Korea Port Economic Association
• /
• v.34 no.4
• /
• pp.141-160
• /
• 2018

In this paper, to analyze the perception and response strategy of Korean ship owners on Global Sulphur Cap 2020, examined the IMO environmental regulation status focusing on MARPOL Annex VI regulation about air pollution prevention, technological measures to reduce SOx emission, shipping industry and management status of Korean ship owners. First of all, the questionnaire was conducted for Korean ship owners after selecting the evaluation factors. The purpose of this study was to investigate the difference of the perception and response strategy of Korean ship owners by corporation size and main vessel type using frequency and cross analysis. It is confirmed that various researches on SOx emission reduction have been carried out from various points of view at home and abroad. In this study, existing studies related to technical factors for regulatory response and economics analysis were examined and evaluation factors were selected. As a result of analysis, it is found that large-sized shipping companies are more prepared for regulatory response than small and medium-sized bulk carrier owners. There were similar perception and the direction of response strategy about the impacts by corporation size and main vessel type. In about two years to be implemented in 2020, It is necessary to find an appropriate response strategy based on the support policy of the government and related organizations and the systematic analysis of the ship owners. Through this study, although the difference between the perception and response strategy of the ship owners by corporation size and main vessel type was understood, it was found that there were limitations on specific response strategy and corporate data collection. In future research, we should overcome the limitations of this study and conduct an in-depth study.