• Title/Summary/Keyword: Business Automation

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Information Technology Strategy for Postal Mail Acceptance Service (우편접수 서비스를 위한 정보기술 도입 전략)

  • Chang, Tai-Woo;Na, Dong-Gil;Koo, Hoon-Young
    • The Journal of Society for e-Business Studies
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    • v.14 no.2
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    • pp.57-69
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    • 2009
  • Korea post delivers more than 4.7 billions of mails and parcels per year. Although postal service is invoked by mail acceptance from customers, mail acceptance service is not as mature as sorting or delivery service in terms of automation and informatization. In this paper, we reviewed current status and issues of the mail acceptance service, analyzed relavent technologies and foreign case-studies, and suggest an information strategy plan for better service. According to the strategies, we propose several action plans for applying adequate information technologies. In addition, we address important results of patents analysis for major technologies. The results of this study could contribute to determining the information strategy and the R&D plan for future postal service.

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A Repository for Workflow Management on Distributed Object Environment (분산객체 환경에서의 워크플로우 관리를 위한 정보저장소)

  • Yeom, Tae-Jin;Park, Jae-Hyung;Ri, Ja;Kim, Ki-Bong;Jin, Sung-Il
    • The Journal of Society for e-Business Studies
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    • v.4 no.1
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    • pp.1-19
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    • 1999
  • Workflow management system provides automation of job processes by maintaining shareability on information about various job process schedules and persons related to those schedules. Existing workflow management systems use file or database to store the information generated in those systems. However, file or database system could manage only non-complicated information for the workflow but not the information resources of an enterprise which is complicated and of various formats. Therefore, we need a data management system that could control those information resources. This system should manage the data which are distributed at several places geographically. Information Repository could meet those requirements. Information Repository may integrate, store and manage information resources requested by application systems. We have an international standard for the information repository, Information Resources Dictionary System(IRDS). The IRDS, however, does not support distributed environment. In this paper, we design and implement an information repository based on IRDS that may be operated in distributed environment. We verify that this information repository is more effective and is more effective than any other file or database system.

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A Internet of Things(IoT) based exploration robot design for remote control and monitoring (사물인터넷(IoT) 기반 원격 제어 및 모니터링이 가능한 탐사로봇 설계)

  • Kim, Byung-Chul
    • Journal of Digital Convergence
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    • v.13 no.1
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    • pp.185-190
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    • 2015
  • The trend of Internet of things are changed from public and examples of corporate center to B2C service. As you can see, through the practice of domestic and international services Internet of Things, conventional disaster, disasters, such as the case of the public sector, factory automation company now mainly direct B2C (Business to Consumer) services are affecting the individual has spread. In this paper we propose a method of platforms and components, and network configuration plan for exploration robot design based on remote control and monitoring system with IoT.

Design and Economic Evaluation on a POP Inventory Control System in SCM Using RFID (SCM 환경에서의 RFID를 이용한 생산시점 재고관리 시스템 설계 및 경제성 평가)

  • Cho, Jae Hyung
    • The Journal of Society for e-Business Studies
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    • v.19 no.1
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    • pp.1-14
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    • 2014
  • This paper presents the development of a stock control system of POP system design based on RFID in SCM and its economic efficiency. A stock control system is proposed for 900MHz passive type RFID system. The RFID system is composed of a RFID reader and four antennas to read the tag IDs. A cost estimation model is adapted based on the total product profit by various tag prices. The result of the economic efficiency analysis can indicate any invested model for the automation system which have initial investment should be used. This solution indicates the limit of the break even point according to the input. And it can be concluded that the stock control can be developed by RFID readers and passive tags with directional arrangement of several antennas. Also, the economical evaluation model can be a decision method for company to adapt the new developed system.

Container Flow Management in Port Logistics Based on BPM Framework

  • Nisafani, Amna Shifia;Park, Jaehun;Bae, Hyerim;Yahya, Bernardo Nugroho
    • Journal of Information Technology and Architecture
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    • v.9 no.1
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    • pp.1-10
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    • 2012
  • To promote process effectiveness and efficiency, it is necessary that port logistics employ automated equipments for handling containers. There exists a system for automatically managing the container flow, called Control Module. However, it has limitation to assign the execution order to the machine and monitor the container flow in real time process. Business process management (BPM) provides a suitable and effective framework to address this problem including controlling and monitoring the flow of each container. Since the nature of container handling process is different with the common process in BPM that is conducted by human performer, it is necessary to adjust the BPM framework in the domain of port logistic management. This study presents a BPM framework corresponds with both human-based and machine-based activity to enhance the efficiency of port process flow including container flow. This framework is introduced as an integrated approach and mechanism of BPM application into the container handling system for the purpose of port logistics process automation.

The Effect of Digitalization and Virtual Leadership on Organizational Innovation During the COVID-19 Pandemic Crisis: A Case Study in Indonesia

  • HUTAJULU, Richard Surungan;SUSITA, Dewi;ELIYANA, Anis
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.10
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    • pp.57-64
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    • 2021
  • In the last decade, the effect of digitalization was the most cited issue in economic discourse, especially since technological advances, automation, and artificial intelligence are the key to the future discussions. Unemployment is one of the most important and continuous debates, especially in times of crisis due to the COVID-19 pandemic. Therefore, this study aims to analyze the influence of leadership style in innovation organizations to deal with the crisis. In this study, a non-probability purposive sampling method was used. A total of 377 respondents were from LinkedIn social media in Indonesia, with the criteria of employees who have worked for at least 6 years. The structural equation model was analyzed with Amos 25.0. The results show that virtual, servant, and transformational leadership influence employee creativity. Moreover, employee creativity strongly influences organizational innovation; therefore, a new model was found to meet the challenges during the COVID-19 pandemic crisis, which is leadership. Therefore, these results are useful for managers to overcome challenges during the COVID-19 pandemic crisis to manage employee creativity for a better innovative organization and make science a reference for finding solutions to the global wave of unemployment in the revolution 5.0 era.

A Study on the Prediction Model for Imported Vehicle Purchase Cancellation Using Machine Learning: Case of H Imported Vehicle Dealers (머신러닝을 이용한 국내 수입 자동차 구매 해약 예측 모델 연구: H 수입차 딜러사 대상으로)

  • Jung, Dong Kun;Lee, Jong Hwa;Lee, Hyun Kyu
    • The Journal of Information Systems
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    • v.30 no.2
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    • pp.105-126
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    • 2021
  • Purpose The purpose of this study is to implement a optimal machine learning model about the cancellation prediction performance in car sales business. It is to apply the data set of accumulated contract, cancellation, and sales information in sales support system(SFA) which is commonly used for sales, customers and inventory management by imported car dealers, to several machine learning models and predict performance of cancellation. Design/methodology/approach This study extracts 29,073 contracts, cancellations, and sales data from 2015 to 2020 accumulated in the sales support system(SFA) for imported car dealers and uses the analysis program Python Jupiter notebook in order to perform data pre-processing, verification, and modeling that is applying and learning to Machine learning model after then the final result was predicted using new data. Findings This study confirmed that cancellation prediction is possible by applying car purchase contract information to machine learning models. It proved the possibility of developing and utilizing a generalized predictive model by using data of imported car sales system with machine learning technology. It can reduce and prevent the sales failure as caring the potential lost customer intensively and it lead to increase sales revenue by predicting the cancellation possibility of individual customers.

Construction Cost Segregation Process using Building Information Modeling

  • Zhou, Rong;Li, Huimin;Zhang, Chengyi;Lv, Lelin;Tian, Junrui;Cakir, Sevilay Demirkesen
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1106-1113
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    • 2022
  • Cost segregation helps reduce tax liabilities by reclassifying real property to personal property and accelerates tax depreciation of a property. A typical cost segregation study requires much time and high costs. This study proposed a BIM integrated cost segregation process that can be applied to any commercial building project. The proposed BIM-based cost segregation process was verified in a new commercial construction project. It approved that this approach can: (1) increase the cash flow for the owner and provide assistance to tax-paying enterprises; (2) enable the contractor to use it as an added value in the bidding process; (3) realize data sharing in a common platform to improve the cost segregation study efficiency and reduce costs and errors; (4) contribute to the asset management in the life cycle of buildings while filling in the blank of cost segregation process. Future studies will focus on the automation of cost segregation and asset management in building construction's life cycle.

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How to Apply Smart Tourism Characteristics to Hotel Management

  • Soo-Hee LEE
    • East Asian Journal of Business Economics (EAJBE)
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    • v.12 no.2
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    • pp.35-42
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    • 2024
  • Purpose: With the growth of the hospitality industry, it is imperative to identify how smart tourism characteristics may be used in hotel management. Current and emerging technologies such as analytic tools, automation, and Artificial Intelligence (AI) help to create value for the guests while also contributing to waste reduction, resource optimization, and increased profitability in the industry. Research design, data and methodology: The literature review was conducted to examine a broad scope of research in analyzing smart tourism characteristics for the improved management of hotels and establish the necessary background for this issue. The analysis was employed to specify the systematic approach of selecting, scrutinizing, and integrating the source of information. Results: According to the systematic literature analysis, four smart tourism characteristics have been established, which can improve various aspects of hotel management. They are as follows: (1) Smart Guest Experience Management, (2) Smart Operations and Resource Management, (3) Smart Customer Relationship Management, and (4) Smart Destination Management. Conclusions: The findings expose the radical approach that smart tourism characteristics take towards the management of hotels. The developments in IT and science-oriented solutions have opened greater opportunities as the hotel industry can enhance clients' satisfaction, productivity, and participation in environmental conservation initiatives for tourism.

An Operations Model for Home Energy Management System Considering an Energy Storage System and Consumer Utility in a Smart Grid

  • Juhyeon Kang;Yongma Moon
    • Asia pacific journal of information systems
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    • v.27 no.2
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    • pp.99-125
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    • 2017
  • In this study, we propose an operations model to automate a home energy management system (HEMS) that utilizes an energy storage system (ESS) in consideration of consumer utility. Most previous studies focused on the system for the profits obtained from trading charged energy using large-scale ESS. By contrast, the present study focuses on constructing a home-level energy management system that considers consumer's utility over energy consumption. Depending on personal preference, some residential consumers may prefer consuming additional energy to earn increased profits through price arbitrage and vice versa. However, the current system could not yet reflect on this aspect. Thus, we develop an operations model for HEMS that could automatically control energy consumption while considering the level of consumer's preference and the economic benefits of using an ESS. The results of simulations using a dataset of the Korean market show that an operations policy of charging and discharging can be changed depending on consumer's utility. The impact of this policy is not ignorable. Moreover, the technical specifications of ESS, such as self-discharge rate and round-trip efficiency, can affect the operations policy and automation of HEMS.