• 산업경영시스템학회지
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• 제26권1호
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• pp.40-46
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• 2003

The employees in information system organization are highly exposed to stress. However, there is little theoretical or empirical study on the effects of job stress on IS organizations. A major reason is because few researchers consider consequences of job stress. The major purpose of this study is to verify negative effects of job stress for IS organization. This study have three purposes : to investigate the relationship between job stressors and perceived job stress; to understand the effect of perceived job stress and job attitude - job satisfaction, job involvement; to examine the role of moderators such as social support and personality in the relationship between job stressors and perceived job stress in information system organizations. The results of this study suggest that job stressors such as role overload and role ambiguity are significantly related to perceived job stress, the higher the perceived job stress is the lower the job attitudes such as job satisfaction and job involvement, and the employees' personality has moderating effects between the job stressor and perceived job stress.

• 한국IT서비스학회지
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• 제20권3호
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• pp.57-73
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• 2021

Recently, online job websites have been activated as unemployment problems have emerged as social problems and demand for job openings has increased. However, while the online job platform market is growing, users have difficulty choosing their jobs. When users apply for a job on online job websites, they check various information such as job contents and recruitment conditions to understand the details of the job. When users choose a job, they focus on various details related to the job rather than simply viewing and supporting the job title. However, existing online job websites usually recommend jobs using only quantitative preference information such as ratings. However, if recommendation services are provided using only quantitative information, the recommendation performance is constantly deteriorating. Therefore, job recommendation services should provide personalized services using various information about the job. This study proposes a recommended methodology that improves recommendation performance by elaborating on qualitative preference information, such as details about the job. To this end, this study performs a topic modeling analysis on the job content of the user profile. Also, we apply LDA techniques to explore topics from job content and extract qualitative preferences. Experiments show that the proposed recommendation methodology has better recommendation performance compared to the traditional recommendation methodology.

• International Journal of Advanced Culture Technology
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• 제7권3호
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• pp.92-96
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• 2019

This study analyzes the problems of fire qualification information websites and job search websites due to incomplete information in the job search process and suggests an improvement plan. It has been confirmed that the main reason for the cost of job searching is incomplete information required for a job search and job search through existing analysis. As a result, it is suggested to construct a smooth information system for economic entities and to provide easy access to information by mitigating the incompleteness of information. Based on this, analysis of the problems of Korean qualifications in the firefighting realm reveals that there is a qualification holder information and a job information site, and a qualification holder management system is established but only information of either qualification acquisition information or employment information is provided. In addition, it is easy to access information through a qualification acquisition information and employment information site via the Internet, but there are inconveniences that qualification acquisition information and employment information are dualized. In order to improve this, it is necessary to build a new customized integrated qualification management system that covers existing Q-net qualification acquisition information and worknet employment information.

• 지능정보연구
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• 제25권4호
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• pp.123-139
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• 2019

주요 구인구직사이트의 직무분류체계가 사이트마다 상이하고 SW분야에서 제안한 'SQF(Sectoral Qualifications Framework)'의 직무분류체계와도 달라 SW산업에서 SW기업, SW구직자, 구인구직사이트가 모두 납득할 수 있는 새로운 직무분류체계가 필요하다. 본 연구의 목적은 주요 구인구직사이트의 구인정보와 'NCS(National Competaency Standars)'에 기반을 둔 SQF를 분석하여 시장 수요를 반영한 표준 직무분류체계를 구축하는 것이다. 이를 위해 주요 구인구직사이트의 직종 간 연관분석과 SQF와 직종 간 연관분석을 실시하여 직종 간 연관규칙을 도출하고자 한다. 이 연관규칙을 이용하여 주요 구인구직사이트의 직무분류체계를 맵핑하고 SQF와 직무 분류체계를 맵핑함으로써 데이터 기반의 지능형 직무분류체계를 제안하였다. 연구 결과 국내 주요 구인구직사이트인 '워크넷,' '잡코리아,' '사람인'에서 3만여 건의 구인정보를 open API를 이용하여 XML 형태로 수집하여 데이터베이스에 저장했다. 이 중 복수의 구인구직사이트에 동시 게시된 구인정보 900여 건을 필터링한 후 빈발 패턴 마이닝(frequent pattern mining)인 Apriori 알고리즘을 적용하여 800여 개의 연관규칙을 도출하였다. 800여 개의 연관규칙을 바탕으로 워크넷, 잡코리아, 사람인의 직무분류체계와 SQF의 직무분류체계를 맵핑하여 1~4차로 분류하되 분류의 단계가 유연한 표준 직무분류체계를 새롭게 구축했다. 본 연구는 일부 전문가의 직관이 아닌 직종 간 연관분석을 통해 데이터를 기반으로 직종 간 맵핑을 시도함으로써 시장 수요를 반영하는 새로운 직무분류체계를 제안했다는데 의의가 있다. 다만 본 연구는 데이터 수집 시점이 일시적이기 때문에 시간의 흐름에 따라 변화하는 시장의 수요를 충분히 반영하지 못하는 한계가 있다. 계절적 요인과 주요 공채 시기 등 시간에 따라 시장의 요구하는 변해갈 것이기에 더욱 정확한 매칭을 얻기 위해서는 지속적인 데이터 모니터링과 반복적인 실험이 필요하다. 본 연구 결과는 향후 SW산업 분야에서 SQF의 개선방향을 제시하는데 활용될 수 있고, SW산업 분야에서 성공을 경험삼아 타 산업으로 확장 이전될 수 있을 것으로 기대한다.

• 디지털융복합연구
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• 제13권10호
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• pp.81-98
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• 2015

본 연구는 국내 외국인 카지노 이용자를 위한 카지노 정보시스템의 성과요인을 파악하고, 이들 요인들이 조직 신뢰와 직무만족에 영향을 미치는 인과관계를 실증적으로 검증하여, 카지노 정보시스템의 발전방안을 제시하고자 한다. 연구결과 첫째, 정보 품질은 보안 신뢰에 유의수준에서 채택되는 것으로 나타났으나, 직무 만족에는 유의수준에서 채택되지 않는 것으로 나타났다. 둘째, 시스템 품질은 보안신뢰에 유의수준에서 채택되는 것으로 나타났으나, 직무 만족에는 유의수준에서 채택되지 않는 것으로 나타났다. 셋째, 서비스 품질은 보안 신뢰와 직무 만족에 유의수준에서 채택되는 것으로 나타났다. 넷째, 보안신뢰는 직무만족에 유의수준에서 채택되는 것으로 나타났다. 이를 통해 정보 품질, 시스템 품질, 서비스 품질이 보안 신뢰와 직무 만족에 영향을 미치는지 확인이 되었다.

• Journal of Information Processing Systems
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• 제8권4호
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• pp.721-738
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• 2012

The Internet has become an increasingly important source for finding the right employees, so more and more companies post their job openings on the Web. The large amount and dynamic nature of career recruiting information causes information overload problems for job seekers. To assist Internet users in searching for the right job, a range of research and commercial systems were developed over the past 10 years. Surprisingly, the majority of existing job search systems support just one, rarely two ways of information access. In contrast, our work focused on exploring a value of comprehensive access to job information in a single system (i.e., a system which supports multiple ways). We designed Proactive, a recommendation system providing comprehensive and personalized information access. To assist the varied needs of users, Proactive has four information retrieval methods - a navigable list of jobs, keyword-based search, implicit preference-based recommendations, and explicit preference-based recommendations. This paper introduces the Proactive and reports the results of a study focusing on the experimental evaluation of these methods. The goal of the study was to assess whether all of the methods are necessary for users to find relevant jobs and to what extent different methods can meet different users' information requirements.

• 한국지능시스템학회논문지
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• 제21권5호
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• pp.588-594
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• 2011

본 논문에서는 안드로이드 스마트폰 기반 취업정보를 실시간으로 제공하는 애플리케이션과 관리시스템을 개발하였다. 이를 위해 취업포털 사이트로부터 제공되는 관련 실시간 정보를 스마트폰을 이용하여 알려주고, 관련 정보를 저장하고 관리하는 서버 시스템을 구현하였다. 특히 취업정보 중계 및 동기화 프로토콜을 설계하였으며, 송수신 정보의 관리를 위한 시스템을 설계 모델링하였다. 개발된 애플리케이션은 실제 이용 가능한 애플리케이션으로 보완 등록하였다.

• 산업공학
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• 제12권2호
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• pp.329-336
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• 1999

Job efficiency and productivity of a manufacturing system with frequent job schedule changes are affected by performance of information system between job order planners anti manufacturing device operators. This paper describes implementation of concurrent information system which can active identify machine status and dispatch job orders to operators in a machine shop. Client and server environment for various machinery is implemented using OSI based network between shop floor control system and manufacturing devices. Portability and scalability are among many characteristics of the implemented system. The developed client and server system is expected to realize high productivity for manufacturing device.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 춘계정기학술대회
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• pp.243-252
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• 2001

Recently, as most companies recognize the importance of the customer relationship management, they strongly believe that they must know who their customers are. The job of a customer is very important information for us to understand the customer. However, since most customers are reluctant to reveal themselves, they do not let us know their jobs, and even provide false information about their jobs. The target domain of our research is mobile telecommunication. In this research, we developed a system that identifies the customer's job by utilizing the Call Detailed Record. From the Call Detailed Record, we extracted such variables as 'Average Monthly Payment'and 'Age of the Customer'and so forth. Moreover, we generated many summary variables and derived variables such as 'Number of Calls during Work Hours in Weekday', and 'Ratio of Calls from other Mobile Telephone'. Using artificial neural networks, we developed a two-step Job Identification System. In the first step, it identifies the four job classes then in the second step, it subdivides these four job classes into seven jobs. The accuracy of identifying the seven jobs was 69.1%.

• 산경연구논집
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• 제9권9호
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• pp.35-44
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• 2018

Purpose - In endless competition, companies pursue cost reduction and work efficiency. So, entrepreneurs try to increase job intensity, which may lead to job stress and high turnovers because of job burnout. But, Information systems are acknowledged as a work support tool that secures work convenience and the productivity of employees. In this study, we aimed to confirm the effects of information systems in reduing the work overload of employees in a human resource intensive industry. Research design, data and methodology - This is based on the job demands-resources model, conducting an empirical analysis of surveys given to hospital employees working in a human resource intensive industry. Results - The research revealed that information systems reduced the work overload of employees in a human resource intensive industry. Conclusion - This study confirmed the effects of information systems as a job resource based on JD-R theory, and presentation of empirical results indicated that information systems alleviate employee job overload and increases job satisfaction in the medical services industry. In the medical services industry, using electronic health record system decreases in work overload, which results in employees gaining time for self-development and time management, reducing job stress, and leading to job satisfaction.