• 벤처창업연구
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• 제17권5호
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• pp.223-235
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• 2022

본 연구는 중소기업의 관리자의 리더십 유형과 조직동일시을 이해하는 것을 목적으로 한다. 본 연구의 목적은 중소기업의 관리자 리더십과 조직동일시가 직무만족에 미치는 영향력과 조직신뢰의 매개효과를 분석하였다. 분석 자료는 중소기업 직원을 대상으로 하였으며, 수집된 자료는 다중회귀분석을 이용하여 분석하였다. 그 결과는 다음과 같다. 리더십 유형 중 변혁적 리더십과 거래적 리더십은 직무만족도에 유의미한 정(+)의 영향을 미쳤으며, 조직동일시는 직무만족도에 유의미한 정(+)의 영향을 미쳤다. 중소기업의 조직신뢰에 대한 매개효과는 변혁적 리더십→조직신뢰→직무만족도, 거래적 리더십→조직신뢰→직무만족도, 조직동일시→조직신뢰→직무만족도와의 관계에서 유의미한 영향을 미치는 것으로 나타났다. 본 연구결과를 통해서 중소기업 관리자의 리더십과 조직의 역할의 중요성을 알 수 있었다. 또한 중소기업은 조직비전을 통해서 조직구성원들에게 조직에 대한 긍정적인 이미지를 심어주는 전략이 필요하다.

• 산업공학
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• 제21권3호
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• pp.343-353
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• 2008

Vendor-managed inventory(VMI) is a supply chain strategy to improve the inventory turnover and customer service in supply chain management. Unfortunately, many VMI programs fail because they simply transfer the transactional aspects of placing replenishment orders from customer to vendor. In fact, such VMI programs often degrade supply chain performance because vendors lack capability to plan the VMI operations effectively in an integrated way under the dynamic, complex, and stochastic VMI supply chain environment. This paper presents a decision support system, termed DSSV, for VMI in the retail supply chain. DSSV supports the market forecasting, vendor's production planning, retailer's inventory replenishment planning, vehicle routing, determination of the system operating parameter values, retailer's purchase price decision, and what-if analysis. The potential benefits of DSSV include the provision of guidance, solution, and simulation environment for enterprises to reduce risks for their VMI supply chain operations.

• 인터넷정보학회논문지
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• 제18권6호
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• pp.127-136
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• 2017

The strategy that using data collection from Netflix uses for its services is different from traditional human interaction and the communication, and it is represented by the systematic algorithm that rooted from intelligent information system based on the human interaction and communication. These characteristics allowed the study to reflect the influence of 'Asset specificity' which affects the continuous consumption of the media services of Netflix users through economic psychological analysis based on transactional cost economics. The result from the survey on actual Netflix users, three types of specificity (Space specificity, time specificity, relational specificity) reduced perceived searching cost whereas perceived instrumentality has increased, eventually reinforces the commitment to the service. This implies that the service characteristics of Netflix, trying to communicate with the individuals based on intelligent information system are distinct from the existing platform services and it gives the significance of work very effective for user's continuous consumption of the media services.

• 한국경영과학회지
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• 제25권1호
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• pp.105-124
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• 2000

The purpose of this paper is to investigate the relationships among transformatonal leadership, gropefficacy, and group performance. A total of 321 empolyees of a fire and marine insurance frim in Seoul anonymously completed the Multifactor Leadership Questionnaire-Form V, which consists of three factors(charisma, individualized consideration and intellectual stimulation) for transformational leadership, and two factors(contingent reward and management by exception) for transactional leadership. The sample, which largely consists of sales supervisors and salesmen, includes 41 sales office branches. The findings of the study are as follows. Transformational leadership is closely associated with group-efficacy and group performance. That is, there are significant correlations between transformational factors and group-efficacy, between the factors and group performance, and between group-efficacy and group performance. A stepwise multiple regressio analysis revealed that transformational leadership augmented the subordinates's extra efforts. It was also found that group-efficacy was mediating the relationship between transformational leadership and group performance. The managerial implications of these findings and future directions of research are also discussed.

• 간호행정학회지
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• 제12권2호
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• pp.196-203
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• 2006

Purpose: The Purpose of this study was to identify the relationship between leadership styles and empowerment of nursing students. Method: The subjects were 386 nursing students who were in college and university. The data were collected from July 26 to September 18, 2004 by the structured questionnaires. For data analysis, descriptive statistics, Pearson correlation coefficient, t-tets and ANOVA with SAS package were used. Results: Transformational leadership showed a significant difference according to school career, present grade, interpersonal relations, admission motive, satisfaction degree for nursing, satisfaction degree for practice, meaning on nursing job and transactional leadership showed a significant difference according to last session study score, satisfaction degree for nursing. Empowerment showed a significant difference according to school career, present grade, interpersonal relations, satisfaction degree for nursing, satisfaction degree for practice, meaning on nursing job. Charisma, intellectual stimulation, individual consideration and contingent reward perceived by nursing students were positively related to empowerment. Management by exception perceived by nursing students was negatively related to empowerment. Conclusion: The result of this study may be helpful in empowerment improvement of nursing students.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5287-5303
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• 2018

Handling vast amount of data found in large transactional datasets is an obvious challenge for the conventional data mining algorithms. Addressing this challenge, our paper proposes a parallel approach for proper decomposition of mining problem into sub-problems in order to find frequent patterns from these datasets. The proposed, Pattern Mining for Large Distributed Dataset (PMLDD) approach, ensures minimum dependencies as well as minimum communications among sub-problems. It establishes a linear aggregation of the intermediate results so that it can be adapted to large-scale programming models like MapReduce. In this context, an algorithmic structure for MapReduce programming model is presented. PMLDD guarantees an efficient load balancing among the sub-problems by a specific selection criterion. Further, it optimizes the number of required iterations over the dataset for mining frequent patterns as compared to the existing approaches. Finally, we believe that our approach is scalable enough to handle larger datasets in terms of performance evaluation, and the result analysis justifies all these mentioned concerns.

• 한국안전학회지
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• 제35권6호
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• pp.61-77
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• 2020

In order to establish a conceptual basis and future research direction of safety leadership, this study reviewed domestic and foreign research trends related to safety leadership through systematic literature review methods. The literature search was conducted by combining terms related to safety leadership without limiting the period databases. A total of 195 documents were found, of which the final 59 were used for analysis. As a results, the safety leadership study was the most frequent in relations among variables. The most leadership types were based on transactional leadership and transformational leadership. In addition, studies have been conducted to categorize safety leadership as an independent concept. Safety leadership was mainly studied in the fields of safety engineering, disaster prevention, and business administration. Quantitative studies were mainly conducted to research methods. Based on the results, the research trend related to safety leadership was discussed, and suggestions for future research direction was presented.

• 이베로아메리카
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• 제22권1호
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• pp.111-148
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• 2020

One way for phatic communication to be linguistically realized involves ritual activities, such as greetings and leave-takings. These conventionalized acts in medical contexts can significantly influence both transactional and interpersonal goals. The analysis in this paper confirms that exchanging rituals such as greeting and leave-taking between doctors and patients is not a simple exchange of conventionalized linguistic symbols. In addition, the use of discursive strategies means that to determine whether an expression is phatic or not, it is necessary to analyze it from the multidimensional perspective. The phaticity is established based on the negotiation between the participants during the interaction. We have found that the interrogative form of greeting like "¿Qué tal?" (How are you?) becomes a versatile resource in the medical context. Thus, professionals need to be attentive to the discourse progress, because the phaticity of the interrogative greetings (illocutionary force) is linked, in the vast majority, with the reaction of the patients. Also, the data confirms that when participants coordinate closings, the exchange of turns lengthens and the intervention of various discursive strategies for phatic communion becomes more prominent.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2011년도 추계학술발표대회
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• pp.376-379
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• 2011

본 연구에서는 사용자 검색로그를 분석하여 사용자의 검색 목적에 따라 분류하고 그 안에 내제되어 있는 사용자의 검색 의도를 찾고자 하였다. 분석은 질의어 110개에 대한 검색로그를 기반으로 검색 목적에 따라 Navigational, Informational, Transactional로 분류하였다. 또한, 질의어를 카테고리별로 분류하였으며 각 결과를 가지고 사용자 검색 의도가 내제되었는지에 대하여 분석하였다. 분석 결과 각 질의어에 따른 검색 목적에 따라서 분포는 다르지만 검색 목적에 따른 검색 의도가 3가지 모두 내제되어 있음을 알 수 있었다. 또한, Informational의 경우에는 질의어에 대한 서로 다른 정보가 나타났으며, 질의어 안에서 사용자의 검색 의도가 나타남을 확인할 수 있었다.

• Asia pacific journal of information systems
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• 제28권4호
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• pp.308-319
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• 2018

This paper aims at providing valuable insights on Financial Fraud Detection on a mobile money transactional activity. We have predicted and classified the transaction as normal or fraud with a small sample and massive data set using Azure and Spark ML, which are traditional systems and Big Data respectively. Experimenting with sample dataset in Azure, we found that the Decision Forest model is the most accurate to proceed in terms of the recall value. For the massive data set using Spark ML, it is found that the Random Forest classifier algorithm of the classification model proves to be the best algorithm. It is presented that the Spark cluster gets much faster to build and evaluate models as adding more servers to the cluster with the same accuracy, which proves that the large scale data set can be predictable using Big Data platform. Finally, we reached a recall score with 0.73, which implies a satisfying prediction quality in predicting fraudulent transactions.