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INDONESIA
International Journal for Applied Information Management
Published by Bright Institute
ISSN : -     EISSN : 27768007     DOI : https://doi.org/10.47738/ijaim
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.
Articles 5 Documents
Search results for , issue "Vol. 1 No. 1 (2021): Regular Issue: April 2021" : 5 Documents clear
Application of Quality Function Development Method to Establish Application of New Product Development Information System Chien-Wen Hung
International Journal for Applied Information Management Vol. 1 No. 1 (2021): Regular Issue: April 2021
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v1i1.2

Abstract

In the process of new product development, the customer's feeling is usually fuzzy phenomenon, how to evaluate various factors is to test the developer's intelligence, this study takes the new product development process as the research object, and applies the Quality Function expansion (QFD) method to establish a decision support system with fuzzy processing ability. In this study, the first development of quality function expansion (QFD) applied to Customer voice collection and analysis and conversion to product specifications. Then, the integration of fuzzy theory and the provision of different commodity development solutions as the best choice for products.
Data Analytics Architectures for E-Commerce Platforms in Cloud John Yeung; Simon Wong; Alvin Tam
International Journal for Applied Information Management Vol. 1 No. 1 (2021): Regular Issue: April 2021
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v1i1.3

Abstract

Today, organizations not only need to manage larger volumes of data, but also generate insights from existing data. These insights help them understand better about their customers and predict market trends. With this initiative, they can take advantage of the cloud platform to achieve this goal because it manages higher data volume, speed and variation. This cloud platform enables them to provide elasticity and efficient computing and storage resources. They also provide many ready-to-use tools for building data analytics in various stages. Additionally, an on-demand pricing model allows organizations to pay for what they consume. It changes the organizational consumption model from capital expenditure to operational expenditure. It greatly minimizes initial capital investment to build data analytics solutions and implement other innovative ideas. This paper highlights the main reasons for encouraging organizations to build data analytics in the cloud. It also shows how to articulate data analytics frameworks for ecommerce platforms in the cloud and how to integrate machine learning models into data analytics processes, to create more sophisticated analyzes. AWS Amazon Web Services' premier public cloud platform is adopted to demonstrate these concepts and practices with real-life business cases.
Understanding Users Attitude to Social Endorsement Advertising of Embarrassing Product Chih-Chien Wang; Yolande Yang; Meng Chiang
International Journal for Applied Information Management Vol. 1 No. 1 (2021): Regular Issue: April 2021
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v1i1.4

Abstract

Users on social media have increased rapidly in recent years, social media advertising has become a popular marketing tool for companies to promote their products. A feature of social media advertising is that marketers can use customers' online behavior to create customized advertisements, which are also known as targeting ads. In this study, we conducted experimental testing 2 (advertising type) X2 (product type) to see if increased knowledge of social advertising would influence users' attitudes towards ads. We separated two different types of advertising on Facebook, namely remarketing and social support, and two different types of products, which advertised general products and ads about embarrassing products. The results of this study are that the increase in advertising knowledge is able to (1) affect the perceived value of advertisements from different types of products and (2) different types of advertisements do not affect user attitudes towards advertisements. For future research, we recommend focusing primarily on the demographic and environmental variables of digital advertising users about embarrassing products.
The Internet, The Cloud, and Information Technology Governance Mehdi Asgarkhani; Christopher Bartlett; Dave Bracken
International Journal for Applied Information Management Vol. 1 No. 1 (2021): Regular Issue: April 2021
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v1i1.5

Abstract

Information Technology Governance (ITG) has become a catalyst for strategic evaluation and deployment of IT solutions. Much of the concepts, the mechanisms, the processes, the frameworks, and the standards of ITG date back to the 1990s. A review of recent studies indicates an increased uptake of ITG practices within organizations – mostly via the adoption of ITG standards and frameworks. Within the last decade, we have witnessed rapid technological advancements which have in turn motivated radical changes in the management of IT infrastructure, deployment of IT applications, and delivery of IT services. For instance, Data Centers and Cloud Services have transformed the paradigm of infrastructure and application management in the IT sector. Moreover, sophisticated smart mobile solutions have made it possible to develop IoT solutions enabling smart cities and smart building initiatives. A review of timelines when ITG concepts and standards established suggest that they originated years before recent transformations in technology adoption took place. Some ITG standards show that the adoption of some cloud services motivated revision in some ITG frameworks. This study demonstrates that there is a possibility that some of the current ITG standards are not fine-tuned to reflect recent developments in the adoption of IT solutions and services.
Location-Based Mobile Community Using Ants-Based Cluster Algorithm Chetneti Srisa-an
International Journal for Applied Information Management Vol. 1 No. 1 (2021): Regular Issue: April 2021
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v1i1.6

Abstract

A location based service (LBS) is widely used on modern smartphone around the world asits built-in features. Each smartphone can access a google API or map. People can therefore share their location (latitude and longitude) among friends. Many LBS spots can easily form “location based mobile community (LBMC).” Since the nodes are mobile, the community group changes dynamically and is unstructured. Ant-based clustering algorithm is a special kind of optimization technique which is highly suitable for finding the adaptive clustering for volatile networks. This Paper Aims To form a location based mobile community (LBMC) by using Ant-based clustering algorithm. Due to the mobile type community, a vanishing community problem is also stated in this paper. Instead of redo a whole algorithm again, we modify an original algorithm by applying a pheromone concept to handle a change. Our algorithm is named as ABCA & VP which stands for Ant-Based Clustering Algorithm with Vanishing problem. More than 5,000 samples from their latitude and longitude coordinates in Thailand. From an experiment, K-means clustering work well in small data size and low number of clusters. In Small size of data between 50 and 1000, our algorithm runs battery when a number of clusters reach 15 clusters. In a big data size (between 1,000 and 5,000 samples), our algorithm outperforms K-means clustering when a number of clusters reach 20 clusters.

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