• Title/Summary/Keyword: Assignment Model

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스마트워크와 심리적 비분리가 연결되지 않을 권리 인식에 미치는 영향 : 의사소통 개방성과 성별의 조절효과를 중심으로 (The Effect of Smart Working and Psychological Attachment from Work on Right to Disconnect : Focused on Moderating Effect of Open Communication and Gender)

  • 박정렬;권순동
    • Journal of Information Technology Applications and Management
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    • 제26권1호
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    • pp.77-93
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    • 2019
  • Recently, office workers are increasingly aware of the right to disconnect because of the pressure from strong connections with Internet messengers. In this study, we examined the reason why the perception of the right to disconnect increases and how to deal with it. This research model is that smart working and psychological attachment from work affect right to disconnect, and that open communication and gender moderate the intensity of these effects. To verify this research model, survey questionnaires were distributed to workers in smart working environments, and 400 data were collected and analyzed using Smart-PLS. As results of data analysis, it was verified that smart working and psychological attachment from work had a significant influence on right to disconnect, that open communication group had a lesser effect of psychological attachment from work on right to disconnect than closed communication group, and that women had a lesser effect of psychological attachment from work on right to disconnect than men. Organizations need to maintain a desirable level of right to disconnect in order to improve the quality of working life. But, if it is impossible, They need to change the way of communication more openly so as to absorb the burden of strong connection by Internet. And they need to perform task assignment or stress relief policy reflecting gender characteristics.

The Impact of Big Data Analytics on Audit Procedures: Evidence from the Middle East

  • ALRASHIDI, Mousa;ALMUTAIRI, Abdullah;ZRAQAT, Omar
    • The Journal of Asian Finance, Economics and Business
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    • 제9권2호
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    • pp.93-102
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    • 2022
  • The goal of this study was to see how big data analytics (BDA) affected external audit procedures in the Middle East. The measurement model and structural model of this investigation were evaluated using PLS-SEM (3.3.3). The study sample members were (361) auditors who work in auditing companies in Kuwait, Saudi Arabia, the United Arab Emirates, Jordan, Bahrain, Egypt, Lebanon, and Iraq. A questionnaire was chosen to the study sample members electronically, and the study sample members were (5093) auditors who work in auditing companies in Kuwait, Saudi Arabia, the United Arab Emirates, Jordan, Bahrain, Egypt, Lebanon, and Iraq. To choose the sample, the researchers used a stratified random sampling procedure. The findings show that BDA has an impact on audit procedures at all phases of the auditing process, where it contributes to information delivery that helps auditors understand the client's internal and external environments, which in turn influences the choice to accept the audit assignment. Furthermore, by providing essential information, BDA enables auditors to simply run analytical procedures, estimate client risks, and understand and evaluate the internal control system. As a result, auditors must develop their abilities in the BDA field, as it adds to the creation of additional value for both auditors and their clients.

Bag of Visual Words Method based on PLSA and Chi-Square Model for Object Category

  • Zhao, Yongwei;Peng, Tianqiang;Li, Bicheng;Ke, Shengcai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권7호
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    • pp.2633-2648
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    • 2015
  • The problem of visual words' synonymy and ambiguity always exist in the conventional bag of visual words (BoVW) model based object category methods. Besides, the noisy visual words, so-called "visual stop-words" will degrade the semantic resolution of visual dictionary. In view of this, a novel bag of visual words method based on PLSA and chi-square model for object category is proposed. Firstly, Probabilistic Latent Semantic Analysis (PLSA) is used to analyze the semantic co-occurrence probability of visual words, infer the latent semantic topics in images, and get the latent topic distributions induced by the words. Secondly, the KL divergence is adopt to measure the semantic distance between visual words, which can get semantically related homoionym. Then, adaptive soft-assignment strategy is combined to realize the soft mapping between SIFT features and some homoionym. Finally, the chi-square model is introduced to eliminate the "visual stop-words" and reconstruct the visual vocabulary histograms. Moreover, SVM (Support Vector Machine) is applied to accomplish object classification. Experimental results indicated that the synonymy and ambiguity problems of visual words can be overcome effectively. The distinguish ability of visual semantic resolution as well as the object classification performance are substantially boosted compared with the traditional methods.

이동 에이전트를 이용한 계층적 조정 모델 기반 협력 작업 응용 개발 환경 (Collaborative Work Applications Development Environment based on Hierarchical Coordination Model using Mobile Agent)

  • 김영민;이상호
    • 한국컴퓨터정보학회논문지
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    • 제11권2호
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    • pp.285-294
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    • 2006
  • 분산 환경에서 다중 사용자간의 협력 작업을 효과적으로 지원하는 협력 작업에 대한 요구가 급격하게 증가하고 있다. 이러한 협력 작업은 그룹 통신 기술, 분산 처리 기술 등의 다양한 기술적 사항들이 해결되어야 하며, 협력 작업 응용이 갖는 공통적인 요구 사항들이 많이 존재하므로 응용을 개발할 때마다 이러한 요구 사항들을 중복하여 개발하는 것은 많은 개발 비용이 소요되며 중복 투자되는 부분이 많게 된다. 따라서, 협력 작업 응용이 공통적인 요구 사항들과 응용을 보다 경제적으로 개발할 수 있는 체계적인 개발 환경이 필요하다. 이 연구에서는 기존의 이동 에이전트의 조정 모델을 협력 작업응용에 적합하도록 개선한 계층형 역할 기반 조정 모델을 제안하고, 이를 이용해서 이동 에이전트 기반 협력 작업 응용을 위한 개발환경을 설계한다. 계층형 역할 기반 조정 모델은 이동 에이전트들의 다층형 그룹 개념을 제공하고, 각각의 그룹별로 효과적인 조정 정책 구현을 가능하게 하며, 그룹 단위 별로 역할을 부여해서 효과적인 협력 작업 응용 개발을 지원할 수 있다.

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공급사슬관리에서 생산입지선정 문제와 안전재고 최적화 문제의 통합모형 개발에 관한 연구 (A Study on Developing an Integrated Model of Facility Location Problems and Safety Stock Optimization Problems in Supply Chain Management)

  • 조건
    • 한국경영과학회지
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    • 제31권1호
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    • pp.91-103
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    • 2006
  • Given a bill of materials (BOM) tree T labeled by the breadth first search (BFS) order from node 0 to node n and a general network ${\Im}=(V,A)$, where V={1,2,...,m} is the set of production facilities and A is the set of arcs representing transportation links between any of two facilities, we assume that each node of T stands for not only a component. but also a production stage which is a possible stocking point and operates under a periodic review base-stock policy, We also assume that the random demand which can be achieved by a suitable service level only occurs at the root node 0 of T and has a normal distribution $N({\mu},{\sigma}^2)$. Then our integrated model of facility location problems and safety stock optimization problem (FLP&SSOP) is to identify both the facility locations at which partitioned subtrees of T are produced and the optimal assignment of safety stocks so that the sum of production cost, inventory holding cost, and transportation cost is minimized while meeting the pre-specified service level for the final product. In this paper, we first formulate (FLP&SSOP) as a nonlinear integer programming model and show that it can be reformulated as a 0-1 linear integer programming model with an exponential number of decision variables. We then show that the linear programming relaxation of the reformulated model has an integrality property which guarantees that it can be optimally solved by a column generation method.

2008-2017 패널분석 결과에 나타난 개인-직무 적합성과 직무만족 간의 관계 (A Study on the Relationship between Person-Job Fit and Job Satisfaction shown in the Panel Data for 2008-2017)

  • 취칭칭;이정현
    • 아태비즈니스연구
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    • 제10권4호
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    • pp.87-118
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    • 2019
  • The purpose of this study is to examine the effects of person-job fit, which consists of educational fit and skill fit, on employees' intrinsic job satisfaction. To the end, the 10-year balanced panel data of the Korean Labor and Income Panel Study(KLIPS) by the Korea Labor Institute (KLI) for 2008-2017 are utilized. This study analyzes 12,730 observations by 1,273 employees by using fixed effect model, random effect model, and pooled OLS estimation method. The empirical results are as follows: First, it is founded that educational fit and skill fit seem affect job satisfaction positively. Second, the negative effects of over-education are clear and the negative effects of under-education are unclear, while the effects of over-skilled and under-skilled are insignificant statistically. Third, the results imply that the size of effect of over-education on intrinsic job satisfaction is larger than that of the effect of over-skilled. Forth, it is shown that the use of fixed effect model is more effective and trustworthy than that of random effect model and pooled OLS estimation method, implying that the effect size of coefficients which are estimated by pooled OLS method and random effect model are likely over-estimated. The empirical results above imply that firms and employees should focus on solving over-education issue before all in order to enhance employees' job satisfaction and it is needed to monitor regularly whether systemic job assignment process is done based on the employees' educational attainment and skill level and to provide more chances for job re-allocation and job rotation.

멀티 라디오 애드혹 네트워크에서의 멀티 채널을 이용한 모델 기반 레이트 분할 알고리즘 (A Model-based Rate Separation Algorithm Using Multiple Channels in Multi-Radio Ad Hoc Networks)

  • 김석형;김동욱;서영주;권동희
    • 한국통신학회논문지
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    • 제36권1A호
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    • pp.73-81
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    • 2011
  • IEEE 802.11 물리 (Physical) 계층과 MAC (Medium Access Control) 계층은 다수의 채널과 데이터 레이트를 제공한다. IEEE 802.11 멀티 라디오 애드혹 네트워크의 성능을 향상 시키기 위해서는 가용한 채널과 데이터 레이트를 효율적으로 할당해야 한다. 하지만 IEEE 802.11 멀티 레이트 네트워크에서는 낮은 레이트 링크가 높은 레이트 링크에 영향을 미쳐서 네트워크 성능을 심각히 저하시키는 문제인, RA (Rate Anomaly)가 발생한다. 따라서, 본 논문에서는 다른 데이터 레이트를 사용하는 링크들을 멀티 채널로 분할시킴으로써 이러한 RA문제를 완화하는 모델 기반 레이트 분할 (Model-based Rate Separation, MRS) 알고리즘을 제안한다. MRS 알고리즘은 IEEE 802.11 싱글 홉 (single-hop) 네트워크의 성능을 측정하는 기존의 성능 모델을 활용하여 낮은 레이트 링크와 높은 레이트 링크를 분산시킨다. 시뮬레이션을 통해 멀티 라디오 애드혹 네트워크에서 MRS 알고리즘이 기존 알고리즘들에 비해 향상된 네트워크 성능을 나타냄을 확인하였다.

A HACCP model for By-products feed production

  • Dooyum, Uyeh Daniel;Woo, Seung Min;Kim, Jun Hee;Lee, Dong Hyun;Ha, Yu Shin
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 2017년도 춘계공동학술대회
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    • pp.136-136
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    • 2017
  • By-products has been considered lately in Total Mixed Ration (TMR) as an alternative to livestock feed around the world. This is due to the high cost of using forage as feed, less expense in exploring by-products of agriculture origin and environmental concerns with their disposal. However, by-products usually contain contaminants and the production process requires fermentation using a storage and fermentation tank. Animal feed is the start point of the food safety chain in the 'farm-to-fork' model. This necessitated a study to model a protocol that will culminate to safe feed production. Hazard analysis and critical control points (HACCP), a systematic preventive approach to food safety from biological, chemical and physical hazards in production processes that can cause the finished product to be unsafe was explored. Implementation of this model provides a mechanism that ensures product safety is continuously achieved. The entire production process of By-products feed production was evaluated using HACCP wizard software. This includes the plant layout, technical standards, storage and fermentation tank cleansing method, staff assignment, safety control method, and distribution. The potential biological, chemical, and physical hazards that may exist in every step of the production process were identified, and then critical control points (CCPs) were selected. This will ensure the safety of products made from livestock that consumes by-product feed. These includes cheese, milk, beef, etc.

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반복측정의 이가반응 자료에 대한 로짓 모형 (A Logit Model for Repeated Binary Response Data)

  • 최재성
    • 응용통계연구
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    • 제21권2호
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    • pp.291-299
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    • 2008
  • 동일 개체가 여러 시점에서 반복되어 측정될 때, 측정값들 간에 종속성을 예상할 수 있다. 본 논문은 한 개체의 이가 반응변수가 g개 시점에서 관측될 때, 종속적인 g개 이 가변수들의 다변량 분포로부터 각 시점에서의 주변분포의 동질성을 파악하기 위한 로짓모형을 제시하고 자료분석 방법을 제공하고자 한다. 모형과 관련된 가정으로 반복측정이 행해지는 g개 시점은 각기 서로 다른 요인 또는 공변량의 결합수준들로 구성된다고 가정한다. 또한, 모형에서 고려된 처치들이 반복측정에 기인하는 서로 다른 크기의 실험 단위들에 행해질 때 모수들을 추정하기 위한 방법으로 가중최소제곱법을 다루고 있다. 여기서 가중최소제곱법은 반응변수들의 종속성으로 인한 공분산 구조에 근거한 모형내 모수들의 효과를 효율적으로 추론하기 위해 이용된다. 제시된 모형은 주변로짓을 이용함으로써 단순히 주변확률분포의 동질성에 대한 검정뿐만 아니라 모형의 타당성 및 요인들의 수준변화에 따른 효과를 파악하기 위한 효과적인 모형임을 보여준다.

Risk assessment of water inrush in karst tunnels based on a modified grey evaluation model: Sample as Shangjiawan Tunnel

  • Yuan, Yong-cai;Li, Shu-cai;Zhang, Qian-qing;Li, Li-ping;Shi, Shao-shuai;Zhou, Zong-qing
    • Geomechanics and Engineering
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    • 제11권4호
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    • pp.493-513
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    • 2016
  • A modified grey clustering method is presented to systematically evaluate the risk of water inrush in karst tunnels. Based on the center triangle whitenization weight function and upper and lower limit measure whitenization weight function, the modified grey evaluation model doesn't have the crossing properties of grey cluster and meets the standard well. By adsorbing and integrating the previous research results, seven influence factors are selected as evaluation indexes. A couple of evaluation indexes are modified and quantitatively graded according to four risk grades through expert evaluation method. The weights of evaluation indexes are rationally distributed by the comprehensive assignment method. It is integrated by the subjective factors and the objective factors. Subjective weight is given based on analytical hierarchy process, and objective weight obtained from simple dependent function. The modified grey evaluation model is validated by Jigongling Tunnel. Finally, the water inrush risk of Shangjiawan Tunnel is evaluated by using the established model, and the evaluation result obtained from the proposed method is agrees well with practical situation. This risk assessment methodology provides a powerful tool with which planners and engineers can systematically assess the risk of water inrush in karst tunnels.