• Title/Summary/Keyword: Job platform

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An Exploratory Study on Artificial Intelligence Quality, Preference and Continuous Usage Intention: A Case of Online Job Information Platform (인공지능이 적용된 온라인 구인정보 플랫폼의 품질 및 선호가 지속사용의도에 미치는 영향에 관한 탐색적 연구)

  • An, Kyung-Min;Lee, Young-Chan
    • Journal of Digital Convergence
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    • v.17 no.7
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    • pp.73-87
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    • 2019
  • The purpose of this study is to clarify the continuous usage intention of artificial intelligence products and services. In this study, we try to define the artificial intelligence quality and preference on the online job information platform and investigate the effect of artificial intelligence on continues usage intention. A survey of artificial intelligence users was conducted and recalled 184. The empirical analysis shows that the artificial intelligence quality and preference have a positive effect on satisfaction, and that the satisfaction has significant effect on the intention of continuing use. but the artificial intelligence quality does not significantly affect the intention of continuing use. These results are expected to provide useful guidelines for artificial intelligence technology products or services in the future.

Analysis of Delivery Characteristics and Risk Perception according to Accident Experience of Platform-based Motorcycle Delivery Riders (플랫폼 기반 이륜차 배달 라이더의 사고경험에 따른 배달특성과 위험도 인식 분석)

  • Moon, Byungdoo;Lee, Sudong;Jung, Kihyo
    • Journal of the Korea Safety Management & Science
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    • v.24 no.2
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    • pp.41-50
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    • 2022
  • The food delivery platform labor market has been continuing to grow rapidly in Korea, which resulted in traffic accident increases of delivery riders. To prevent traffic accidents while delivery, this study conducted a survey for 462 delivery riders and analyzed the statistical relationships of delivery characteristics and risk perception with delivery accidents. The results of this study revealed that riders with young age (20s: 46.6%) and/or low delivery experience (less than 1 year: 50.6%) had significantly higher proportion of accident experience than other age groups (over 40s: 36.2%) and high delivery experience (more than 2 years: 36.4%). In addition, side job riders (61.5%) showed significantly higher proportion of accident experience than main job riders (39.1%). The riders with accident experience had more number of deliveries per hour (weekday: 3.56, weekend: 3.91) than the riders without accident experience (weekday: 3.29, weekend: 3.68). Lastly, the riders with accident experience rated significantly higher perceived level of risk on weather, violation of traffic laws, uninspected motorcycle, receiving calls while driving, missing safety training, missing personal protective equipment than the riders without accident experience. This study suggested four aspects based on the study results to prevent traffic accidents for delivery riders.

A Study on the Nurse Scheduling Optimization Model for Nurse Needs-Type Scheduling Automation System

  • Song, Mi-Young
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.3
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    • pp.57-64
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    • 2020
  • Today, with the development of information technology, hospitals are actively researching hospital information systems that are not limited by time and space to integrate mobile computing technology into the medical field to manage the bulk data of medical information. Nevertheless, most hospitals still spend a lot of time and effort creating manual schedules. In this paper, we studied an optimization model for organizing nurses' shift work and constructed an automated nurse-type job organization system. For nurses working in S hospital, information data, requirements and constraints of nurses were constructed. By applying this, we proposed an optimized scheduling method and built a web-based platform used by head nurses and a mobile app platform used by general nurses to enable real-time interchange and sharing around web servers. Therefore, through the developed nurse needs type automated system, the head nurses will increase the convenience of the nurses to organize the work every month, and general nurses will help them to work more accurately through personal schedule management. It is also expected to increase work efficiency by sharing work schedules among nurses.

An Analysis of the Economic Effects of the Project which Constructs the Platfonn for Broadcasting and Communications Convergence Public Service (방통융합 공공서비스 플랫폼 구축사업의 경제적 파급효과 분석)

  • Jeong, Woo-Soo;Lee, Seung-Taek
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.7B
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    • pp.734-743
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    • 2009
  • This paper is to analyze the economic effects of the broadcasting & communications convergence public service platform build-up. For the economic effect analysis, we reclassified the Broadcasting & Communications Convergence Industry Classification System and re-drew up 2009 Inter-industry Relations Table by using the 2003 Inter-industry Relations Table issued by the Bank of Korea and the RAS techniques. And we analyzed the economic effects that can be drawn from the broadcasting & communications convergence public service platform establishment. As a result, the gross production inductive effect which appears with the economic effect of the broadcasting & communications convergence public service platform establishment project from 2009 to 2014 came out to be about 3trillion 325.1 billion KW, added value inductive effect of 2trillion 976.5billion KW and the employment inductive effect of the job creation of about 13,806 people. Afterward, it is anticipated that the broadcasting & communications convergence public service platform build-up project to contribute to the improvement of Koreans' daily life. Moreover, this research will be used as a valued basic material in the pursuit of the future broadcasting & communications convergence projects.

Research on the Uses and Gratifications of Tiktok (Douyin short video)

  • Yaqi, Zhou;Lee, Jong-Yoon;Liu, Shanshan
    • International Journal of Contents
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    • v.17 no.1
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    • pp.37-53
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    • 2021
  • With the advent of the 5G era, smart phones and communications network technology have progressed, and mobile short video of people's life can be made, Of the new tools of communication, at present, China's social short video industry has shown rapid development, and the most representative of the short video app is Douyin (international version: Tiktok). Under the background of Uses and Gratifications Theory, this study discusse the relationship between Douyin users' preference degree, use motivation, use satisfaction and attention intention. This study divides the content of Douyin video into 10 categories, selects the form of an online questionnaire survey, uses SPSS software to conduct quantitative analysis of 202 questionnaires after screening, and finally draws the following conclusions: (1) The content preference degree of Douyin short video (the high group and low group) is different in users' use motivation, users' satisfaction degree and users' attention intention. ALL results are within the range of statistical significance.(2) Douyin users' video content preference degree has a positive impact on users' use motivation, users' satisfaction degree, and users' attention intention. (3) Douyin users' motivation has a positive impact on users' satisfaction and user' attention intention. (4) Douyin users' satisfaction degree has a positive impact on users' attention intention. Based on the research results, we suggest that Douyin platform pushes videos according to users' preferences. In addition, as the preference degree has an impact on users' motivation, satisfaction degree and attention intention of using the platform, it is important that the platform's focus should to pay attention to the preference degree of users. Collecting users' preferences at the early stage of users' entering the platform is a good way to learn from, and doing a good job of big data collection and management in the later operation.

A Job Allocation Manager for Dynamic Remote Execution of Distributed Jobs in P2P Network (분산처리 작업의 동적 원격실행을 위한 P2P 기반 작업 할당 관리자)

  • Lee, Seung-Ha;Kim, Yang-Woo
    • Journal of Internet Computing and Services
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    • v.7 no.6
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    • pp.87-103
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    • 2006
  • Advances in computer and network technology provide new computing environment that were only possible with supercomputers before. In order to provide the environment, a distributed runtime system has to be provided, but most of the conventional distributed runtime systems lack in providing dynamic and flexible system reconfiguration depending on workload variance, due to a static architecture of fixed master node and slave working nodes. This paper proposes and implements a new model for distributed job allocation and management which is a distributed runtime system is P2P environment for flexible and dynamic system reconfiguration. The implemented systems enables job program transfer and management, remote compile and execution among cooperative developers based on P2P standard protocol Jxta platform. Since it makes dynamic and flexible system reconfiguration possible, the proposed method has some advantages in that it can collect and utilize idle computing resources immediately at a needed time for distributed job processing. Moreover, the implemented system's effectiveness and performance increase are shown by applying and processing the crawler jobs, in a distributed way, for collecting a large amount of data needed for internet search.

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A Case Study on the Personalized Online Recruitment Services : Focusing on Worldjob+'s Use of Splunk (개인화된 구직정보서비스 제공에 관한 사례연구 : 월드잡플러스의 스플렁크 활용을 중심으로)

  • Rhee, MoonKi Kyle;Lee, Jae Deug;Park, Seong Taek
    • Journal of the Korea Convergence Society
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    • v.9 no.2
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    • pp.241-250
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    • 2018
  • Online recruitment services have emerged as one of the most popular Internet services, providing job seekers with a comprehensive list of jobs and a search engine. But many recruitment services suffer from shortcomings due to their reliance on traditional client-pull information access model, in manay cases resulting in unfocused search results. Worldjob+, being operated by The Human Resources Development Service of Korea, addresses these problems and uses Splunk, a platform for analyzing machine data, to provide a more proactive and personalised services. It focuses on enhancing the existing system in two different ways: (a) using personalised automated matching techniques to proactively recommend most preferrable profile or specification information for each job opening announcement or recruiting company, (b) and to recommend most preferrable or desirable job opening announcement for each job-seeker. This approach is a feature-free recommendation technique that recommends information items to a given user based on what similar users have previously liked. A brief discussion about the potential benefit is also provided as a conclusion.

The Effect of Empowering Leadership on Adaptive Performance: The Mediating Effect of Job Challenge and the Moderating Effect of Agentic and Communal Traits (임파워링 리더십이 적응수행에 미치는 영향: 직무도전성의 매개 효과와 독자성·융화성 성향의 조절효과)

  • Sun-Hwa Jung;Eun-Ji Park;He-Yeon Kim;Ji-Hwan Park
    • Asia-Pacific Journal of Business
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    • v.14 no.3
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    • pp.67-88
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    • 2023
  • Purpose - This study examined the effect of empowering leadership on adaptive performance and verified the mediating effect of job challenge in the relationship between empowering leadership and adaptive performance. Additionally, this study investigated the moderating effect of agentic and communal traits in the relationship between supervisor's empowering leadership and adaptive performance of subordinates. Design/methodology/approach - This study used data collected from 279 participants via an online platform. Multiple regression analysis, bootstrapping, hierarchical regression analysis, and simple slope test were used to analyze the data. Findings - First, supervisor's empowering leadership had a positive effect on adaptive performance. Second, job challenge was found to mediate the relationship between supervisor's empowering leadership and adaptive performance. Third, the agentic trait showed a moderating effect on strengthening the relationship between supervisor's empowering leadership and adaptive performance. However, communal trait did not show a moderating effect. Research implications or Originality - This study examined the moderating effect of agentic traits in the relationship between empowering leadership and adaptive performance, which has not been investigated before.

The Research and Application of Innovative High Efficient Construction Technologies in Super High Rise Steel Structure Building

  • Dai, Lixian;Liao, Biao
    • International Journal of High-Rise Buildings
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    • v.3 no.3
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    • pp.205-214
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    • 2014
  • The super high rise building construction is characterized by a large quantity of engineering works and structural components, high demanding of construction technology and complex cross operations. As the height of super high rise building increases, the construction difficulties increase, it is challenging the steel structural building construction technology. In this paper, the key technologies in the construction of Chinese modern super high rise steel structure building have been studied. The innovative tower crane supporting frame suspension disassembly technology has been developed to allow the crane supporting frame to turnover in the air without occupying materials stockyard. A new self-elevating platform technique which is capable of striding over structural barriers has been developed. This new technology allows the platform to be self-elevated along variable cross section column with a maximum 600 mm size change. A new automatic submerged arc welding technology has also been developed to ensure the process continuity and quality stability of welding job on the construction site.

Design and Implementation of Sensor Information Management System based on Celery-MongoDB (Celery-MongoDB 를 활용한 센서정보 관리시스템 설계 및 구현)

  • Kang, Yun-Hee
    • Journal of Platform Technology
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    • v.9 no.2
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    • pp.3-9
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    • 2021
  • The management of sensor information requires the functions for registering, modifying and deleting rapidly sensor information about various many sensors. In this research, Celery and MongoDB are used for developing a sensory data management system. Celery supplies a queue structure based on asynchronous communication in Python. Celery is a distributed simple job-queue but reliable distributed system suitable for processing large message. MongoDB is a NoSQL database that is capable of managing various informal information. In this experiment, we have checked that variety of sensor information can be processed with this system in a IoT environment. To improve the performance for handling a message with sensory data, this system will be deployed in the edge of a cloud infrastructure.