• Title/Summary/Keyword: Learning workers

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Factors Affecting Employee Loyalty: A Case of Small and Medium Enterprises in Tra Vinh Province, Viet Nam

  • NGUYEN, Ha Hong;NGUYEN, Trung Thanh;NGUYEN, Phong Thanh
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.1
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    • pp.153-158
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    • 2020
  • The study aims to identify the factors affecting employee loyalty in the case of small and medium enterprises (SMEs) in Tra Vinh province, Viet Nam and to find out critical factors affecting the loyalty of employees in SMEs. This is implemented with the method of collecting primary data of 320 employees working at SMEs in 5 districts including: Cau Ngang, Tra Cu, Chau Thanh, Cang Long, Tieu Can) and Tra Vinh City, Viet Nam. Using the multivariate regression method, the researchers have found 6 factors affecting employee loyalty: colleagues, leaders, job characteristics, remuneration policies, organizational culture, and working environment. Particularly, learning opportunities may not be not statistically significant for employees' loyalty towards small and medium-sized enterprises in Tra Vinh province. From the above research results, the authors have proposed implicational piolicies such as: focusing on colleague relationships, improving leadership of business owners, attaching importance to appropriate work arrangement, having appropriate remuneration policies for laborers, building effective organizational culture and working environment to improve employee loyalty at SMEs. From the above policy implications, helping business owners realize the aspirations of workers in small and medium-sized enterprises more closely in the future, in order to sustainably develop the business system in Vietnam.

A Study on the Classification of Knowledge Worker Style for Knowledge Management (지식경영을 위한 지식근로자 유형 분류에 관한 연구)

  • Woo, Sung-jin;Lee, Jong Hun
    • Knowledge Management Research
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    • v.2 no.1
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    • pp.65-81
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    • 2001
  • The aim of this study is classify knowledge work style management for knowledge management. It is based on the knowledge creation model of Nonaka by subdividing types of knowledge workers. It was designed to create a model for application to the actual environment of management. Nonaka suggested the process of socialization, externalization, combination, internalization that the knowledge of a person creates new knowledge through the interaction of implicit knowledge and explicit knowledge. This research demonstrated that knowledge worker of 16 forms by applying SECI model to the main function and the subordinate functions again. This study aims at achieving a higher outcome by applying the ability of existing knowledge worker to subdivided expert field efficiently. Suggested styles of knowledge worker in this research are classified into craftsman style, pragmatic style, combination style, developed style knowledge worker who creates knowledge by selecting socialization as the function and again by selecting externalization combination, internalization as subordinate functions. And they were classified into creation style, insight style, strategy style according to practical application worker and function which is selecting externalization as the main function and socialization as the subordinate functions. They were classified into future style, innovation style, analysis style, judgement style knowledge worker who are selecting combination as the main function and experiment style, intuition style, research style, learning style worker who are selecting internalization as the main function. They suggested the characteristics and cases of each type.

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A Study on the Effects of Engineering Education Accreditation (공학교육인증제도 효과 분석 연구)

  • Kang, So Yeon;Hon, Sung Jo;Choi, Keum Jin;Park, Sun Hee;Cho, Sung Hee
    • Journal of Engineering Education Research
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    • v.18 no.3
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    • pp.59-68
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    • 2015
  • This study was implemented for the purpose of analyzing the effects of Engineering Education Accreditation. Now, 15 years has passed adopting the engineering education system. We need to analyze the effect that this system has changed on the ground of engineering education, and it cultivated the human resource. In order to achieve the purpose of this study, the survey were done on the professors, graduates, and workers. The results and conclusions of this study are summarized as follows: First, it is urgent need to change the system of accreditation, and to get the public trust on assessment. Second, it is necessary to make circumstance that engineering education accreditation is advertised to the industries, and the industry can join the development, consulting, evaluation of curriculum. Third, government needs to make the policy that gives the incentive to the industries, if they give some merits to the accreditation graduates. Fourth, certificate of program graduate is desired to spread the accreditation proliferation. Fifth, government should systemize that accreditation program can get advantage to be selected for the public finance business(e.g. BK, LINC).. It will impact the quality Improvement and accountability of engineering programs.

A Culture Society and the Ecosystem (문화사회와 에코시스템)

  • Kim, Hwa Im
    • Cross-Cultural Studies
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    • v.26
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    • pp.73-94
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    • 2012
  • In the present context of systemic global crisis, this paper focuses on a sustainable society. Throughout the World there are vast members of the unemployes. A secure job lasting a lifetime has become more and more rare. Nowadays majority of jobs are part-time or temporary. $Andr{\acute{e}}$ Gorz found a solution in a policy of the progessive reduction in labor time. This is the potential which automated production opens up for a culture society. Nevertheless, Gorz's proposal is based on utopion ideals. This paper focuses on a dynamic force for a culture society, especially art, learning and the third sector. Adrienne Goehler underlines that a culture in the broad sense of the word produces economical and social productivity. In this connection Goehler give attention to 'Cultrual Creatives' and the Creative Class. Cultural creatives are comprised of people who have participated in the process of creating a new culture with enlightened creativity. The Creative Class is a class of workers whose job is to create economic growth through innovation. Creativity is important for a sustainable society. Gore and Rifkin both come close to the ecological thinking. Gore claims that ecosystem of nature have a self-organizing capacity. In this context tried to prove this article that ecosystem is closely connected with a creative environment.

Use of a multinomial logistic regression model to evaluate risk factors for porcine circovirus type 2 infection on pig farms in the Republic of Korea

  • Kim, Eu-Tteum;Pak, Son-Il
    • Journal of Preventive Veterinary Medicine
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    • v.41 no.3
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    • pp.129-132
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    • 2017
  • The current study identified risk factors associated with porcine circovirus type 2 (PCV2) infection on pig farms in the Republic of Korea using a multinomial logistic regression model to evaluate the PCV2 infection status of pigs at different growth stages. Compulsory disinfection of visitors (odds ratio [OR]: 0.019, 95% confidence interval [CI]: <0.001-0.378, p=0.0095), compulsory registration of visitors (OR: 0.002, 95% CI: <0.001-0.184, p=0.0070), regular blood testing (OR: 0.012, 95% CI: <0.001-0.157, p=0.0007), and running on-farm biosecurity learning programs for workers (OR: 0.156, 95% CI: 0.040-0.604, p=0.0072 and OR: 0.201, 95% CI: 0.055-0.737, p=0.0155, respectively) were identified as factors which could reduce the risk of PCV2 infection. However, visitation by a regular veterinarian (OR: 32.733, 95% CI: 3.768-284.327, p=0.0016) was associated with PCV2 infection.

Leveling Up the Information Culture of Social Work Bachelors

  • Bartosh, Olena;Povidaichyk, Oksana;Kozubovska, Iryna;Shandor, Fedir;Afanasiev, Dmytro;Bodnar, Olesia;Katsora, Oleksandr;Oros, Oleksandra
    • International Journal of Computer Science & Network Security
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    • v.21 no.5
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    • pp.222-230
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    • 2021
  • The article reviews the issue of formation of information culture of social work bachelors in the process of their professional training. The main internal / external factors that determine the need for the information culture formation of social workers-to-be have been identified. To determine the levels of information culture formed in bachelors of social work criteria and their indicators have been substantiated. The model of information culture formation in BSW has been developed and implemented in Ukrainian universities under the following pedagogic conditions: organized informational environment; interconnection between general and professionally-directed courses; curriculum includes course directed on IC formation. The model contained interconnected components: aim - to achieve higher level of information culture formed; specific principles; content, interactive methods and forms of organization of educational process, methods of control and correction; components of information culture. The implemented mastered learning procedure has contributed to the leveling up of information culture formed in social work bachelors.

Animal Fur Recognition Algorithm Based on Feature Fusion Network

  • Liu, Peng;Lei, Tao;Xiang, Qian;Wang, Zexuan;Wang, Jiwei
    • Journal of Multimedia Information System
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    • v.9 no.1
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    • pp.1-10
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    • 2022
  • China is a big country in animal fur industry. The total production and consumption of fur are increasing year by year. However, the recognition of fur in the fur production process still mainly relies on the visual identification of skilled workers, and the stability and consistency of products cannot be guaranteed. In response to this problem, this paper proposes a feature fusion-based animal fur recognition network on the basis of typical convolutional neural network structure, relying on rapidly developing deep learning techniques. This network superimposes texture feature - the most prominent feature of fur image - into the channel dimension of input image. The output feature map of the first layer convolution is inverted to obtain the inverted feature map and concat it into the original output feature map, then Leaky ReLU is used for activation, which makes full use of the texture information of fur image and the inverted feature information. Experimental results show that the algorithm improves the recognition accuracy by 9.08% on Fur_Recognition dataset and 6.41% on CIFAR-10 dataset. The algorithm in this paper can change the current situation that fur recognition relies on manual visual method to classify, and can lay foundation for improving the efficiency of fur production technology.

Implementation of an Intelligent Video Detection System using Deep Learning in the Manufacturing Process of Tungsten Hexafluoride (딥러닝을 이용한 육불화텅스텐(WF6) 제조 공정의 지능형 영상 감지 시스템 구현)

  • Son, Seung-Yong;Kim, Young Mok;Choi, Doo-Hyun
    • Korean Journal of Materials Research
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    • v.31 no.12
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    • pp.719-726
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    • 2021
  • Through the process of chemical vapor deposition, Tungsten Hexafluoride (WF6) is widely used by the semiconductor industry to form tungsten films. Tungsten Hexafluoride (WF6) is produced through manufacturing processes such as pulverization, wet smelting, calcination and reduction of tungsten ores. The manufacturing process of Tungsten Hexafluoride (WF6) is required thorough quality control to improve productivity. In this paper, a real-time detection system for oxidation defects that occur in the manufacturing process of Tungsten Hexafluoride (WF6) is proposed. The proposed system is implemented by applying YOLOv5 based on Convolutional Neural Network (CNN); it is expected to enable more stable management than existing management, which relies on skilled workers. The implementation method of the proposed system and the results of performance comparison are presented to prove the feasibility of the method for improving the efficiency of the WF6 manufacturing process in this paper. The proposed system applying YOLOv5s, which is the most suitable material in the actual production environment, demonstrates high accuracy (mAP@0.5 99.4 %) and real-time detection speed (FPS 46).

Crack Detection Technology Based on Ortho-image Using Convolutional Neural Network (합성곱 신경망을 이용한 정사사진 기반 균열 탐지 기법)

  • Jang, Arum;Jeong, Sanggi;Park, Jinhan;, Kang Chang-hoon;Ju, Young K.
    • Journal of Korean Association for Spatial Structures
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    • v.22 no.2
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    • pp.19-27
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    • 2022
  • Visual inspection methods have limitations, such as reflecting the subjective opinions of workers. Moreover, additional equipment is required when inspecting the high-rise buildings because the height is limited during the inspection. Various methods have been studied to detect concrete cracks due to the disadvantage of existing visual inspection. In this study, a crack detection technology was proposed, and the technology was objectively and accurately through AI. In this study, an efficient method was proposed that automatically detects concrete cracks by using a Convolutional Neural Network(CNN) with the Orthomosaic image, modeled with the help of UAV. The concrete cracks were predicted by three different CNN models: AlexNet, ResNet50, and ResNeXt. The models were verified by accuracy, recall, and F1 Score. The ResNeXt model had the high performance among the three models. Also, this study confirmed the reliability of the model designed by applying it to the experiment.

The Meaningful Connection between Job Crafting and Protean Career Attitudes

  • Seong-Gon KIM;Seung-Hyun HONG
    • East Asian Journal of Business Economics (EAJBE)
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    • v.11 no.3
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    • pp.27-35
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    • 2023
  • Purpose - The present study bridges a significant gap in the literature by investigating the complex relationship between job crafting and protean career attitudes. It has been demonstrated that job crafting, which entails the proactive redesign of work roles, responsibilities, and relationships, empowers employees, and elevates. Research design, data, and methodology - This study employed a tailored search approach with specific terms linked to job crafting and protean career attitudes to ensure a thorough and focused analysis. The keywords include "Job crafting," "protean career attitudes," "career development," and related terms. This strategy uses an organized method to identify, screen, and choose appropriate studies. Result: This study synthesizes prior studies and identifies four critical links between the development of jobs and protean career attitudes. To begin with, task crafting, which entails job requirements and scope modifications, leads to protean career attitudes as employees match their roles to their skills and passions. Second, rational crafting, which is adjusting interactions with coworkers and superiors encourages flexible career attitudes. Conclusion - This study insists that organizations must consider the essential practical ramifications. Employers may improve employee growth, engagement, and talent retention by encouraging job customization, recognizing protean workers, cultivating a protean culture, investing in ongoing learning.