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International Journal for Applied Information Management
Published by Bright Institute
ISSN : -     EISSN : 27768007     DOI : https://doi.org/10.47738/ijaim
Core Subject : Economy, Humanities, Science, Social,
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences
Journal menerbitkan penelitian tentang semua aspek manajemen informasi. Informasi dilihat di sini secara luas untuk mencakup tidak hanya produk/layanan dan proses tetapi juga pasar, dan organisasi serta informasi sosial. Ini termasuk studi tentang proses secara keseluruhan atau tahap individu, masalah seputar mengakses dan menggunakan sumber daya berwujud dan tidak berwujud secara efektif, strategi informasi, alat yang berbeda yang digunakan untuk mengelola informasi, dampak faktor industri, regional, dan nasional, dan implikasi pada kinerja. . IJAIM menyambut baik pekerjaan yang mengeksplorasi manajemen inovasi dalam konteks baru seperti tetapi tidak hanya layanan, organisasi sektor publik, dan perusahaan sosial dan komunitas, informasi sosial, pada satu atau beberapa tingkat termasuk tim atau proyek, organisasi, regional , nasional dan internasional. Makalah yang muncul di IJAIM harus didasarkan pada metode penelitian yang ketat. Mereka juga harus eksplisit tentang implikasi untuk teori dan praktek. Dengan demikian, penulis harus memastikan bahwa kontribusi terhadap keadaan seni diartikulasikan dengan jelas.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 3 No. 3 (2023): Regular Issue: September 2023" : 5 Documents clear
Formulation and Implementation of a Bayesian Network-Based Model Shi, Ying
International Journal for Applied Information Management Vol. 3 No. 3 (2023): Regular Issue: September 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i3.57

Abstract

At present, Bayesian networks lack consistent algorithms that support structure establishment, parameter learning, and knowledge reasoning, making it impossible to connect knowledge establishment and application processes. In view of this situation, by designing a genetic algorithm coding method suitable for Bayesian network learning, crossover and mutation operators with adjustment strategies, the fitness function for reasoning error feedback can be carried out. Experimental results show that the new algorithm not only simultaneously optimizes the network structure and parameters, but also can adaptively learn and correct inference errors, and has a more satisfactory knowledge inference accuracy rate.
Exploration of an "Internet+" Grounded Approach for Establishing a Model for Evaluating Financial Management Risks in Enterprises Wang, Hongli; Budsaratragoon, Pornanong
International Journal for Applied Information Management Vol. 3 No. 3 (2023): Regular Issue: September 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i3.58

Abstract

With the rapid development and continuous updating of computing technology, computer software is increasingly used in various management of enterprises, which brings great aspects to enterprise management and also creates high benefits for enterprises. This article takes the hospital as an example, based on Internet technology, evaluates the risks of the hospital financial management system, and establishes the relevant risk evaluation model according to the relevant elements of the medical financial management system. In the normal use of the hospital financial management ERP business, the risk consequences are formed through probability calculations. The evaluation value, and finally the evaluation value of the risk of the ERP project of the hospital financial management is calculated. The experimental results show that the average error between the evaluation results of the model and the actual financial value is only 2.429%, indicating that this evaluation method is highly accurate and has strong applicability.
Development of a Model for Recognizing Cracks on Concrete Surfaces Using Digital Image Processing Techniques Kang, Yuzhong; Yu, Aimin; Zeng, Wenquan
International Journal for Applied Information Management Vol. 3 No. 3 (2023): Regular Issue: September 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i3.59

Abstract

In this paper, the bridge crack detection method based on digital images is studied. In-depth analysis and evaluation are performed on the image processing algorithms such as image graying, resolution of checkerboard corner pixel rate, filtering denoising, and edge detection, etc. The calculation and software system for bridge crack width based on videos (or images) is implemented, and 15 bridge crack images are used to verify its crack detection accuracy. The results suggest that the proposed crack identification method in this paper can be used for the crack detection of reinforced concrete bridges and class B prestressed concrete bridges properly. When the crack width is greater than 0.3 mm, the calculated crack width value based on images is very close to the measured value.
Examination of the Global Plant Factory's National Competitiveness via Artificial Intelligence-Driven Research Analysis Wang, Feng; Park, Jae-Hoon
International Journal for Applied Information Management Vol. 3 No. 3 (2023): Regular Issue: September 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i3.60

Abstract

The plant factory is an advanced stage of the development of modern facility agriculture. It integrates biotechnology, engineering technology and system management to free agricultural production from the constraints of natural ecology and other objective conditions. A factory agricultural system that produces production according to human plans. Plant factories are one of the most dynamic and potential fields in the process of absorbing and applying high-tech achievements in the process of agricultural industrialization, and have attracted more and more attention from countries. This paper uses the SCI-EXPANDED database of Web of Science as the data source, adopts bibliometric methods, and focuses on the analysis of the competitiveness of various countries in the field of plant factory research in the world, providing information support and data reference for related.
Creation and Investigation of a Big Data Technology-Driven Auxiliary Employment Platform for Public Utilities Management Lan, Zhijie
International Journal for Applied Information Management Vol. 3 No. 3 (2023): Regular Issue: September 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i3.61

Abstract

With the development of society and the advancement of science and technology, the current employment problem has gradually become hotter. At the same time, the number of college graduates has shown rapid growth. However, due to the development of science and technology in our country, the demand for labor has declined, and various factors have caused college students to find themselves in a difficult situation.The purpose of this article is to conduct research on the design of a public utility management assisted employment platform based on big data technology. Based on the analysis of the employment history and current situation of college students in New China, this paper analyzes the employment dilemma of college students from the perspective of "New Public Management", applies the concept of new public management to the public service platform of college student employment, and proposes that college students should be further improved. The degree of marketization of employment, the construction of a diversified employment service platform for college students, etc.Further clarify the focus of solving the employment problem of college students. Due to the theoretical and practical deficiencies of the new public management itself, the employment platform for college students derived from the perspective of the new public management has deficiencies. The experimental research results show that the effectiveness of the auxiliary employment platform for public utilities management is better is the auxiliary employment platform C for public utilities management, with an effectiveness of 75.83%. In general, the effective average of the auxiliary employment platform for public utilities management is 70. It can be seen that the actual use of these auxiliary employment platforms is not large, and at the same time, it also shows that there is a lot of room for.

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