• Title/Summary/Keyword: article analysis

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A Proposed Framework for the Roles of Digital Marketing Distribution and Co-creation in Increasing Non-Tax State Revenue in Indonesia

  • BUDIANA, Kelik;SUCHERLY, Sucherly;KRISNA, Nandan Lima;SARI, Diana
    • Journal of Distribution Science
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    • v.20 no.6
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    • pp.99-108
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    • 2022
  • Purpose: This study aims to provide a further research challenge in digital marketing distribution and co-creation from relevant literature. The concept of digital marketing and co-creation has been known to impact the business sector positively, but it has not been utilized much in the government sector. Therefore, further research is needed to identify the role of digital marketing distribution and co-creation in increasing non-tax state revenue services of government institutions in Indonesia. Research design, data, and methodology: This study is based on a systematic literature review. The stages are (1) research scope review, (2) article extraction from journals, (3) article quality assessment, (4) article analysis, and (5) comprehensive report. Fifty articles published from 2011 to 2021 were collected from the Google Scholar website. Result: This study provides a proposed model that depicts all of the potential connections between digital marketing, co-creation, and non-tax state revenue. In addition, we also identify that the customer experience influences non-tax state revenue. Conclusions: This study attributes the use of the digital marketing distribution and co-creation concept in the government sector and its benefits for state organizations, which have not been investigated in previous studies.

Research on Creative Expression Utilizing AI Technology in 3D Animation Production

  • Chenghao Wang;Jeanhun Chung
    • International journal of advanced smart convergence
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    • v.13 no.2
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    • pp.148-153
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    • 2024
  • This article embarks on an exploration of how the burgeoning landscape of AI technology is reshaping and augmenting creative expression within the realm of 3D animation. As AI continues to evolve and mature, its integration into the process of 3D animation creation has become an increasingly focal point of investigation and analysis. The article undertakes a comprehensive examination of the myriad applications of AI within the domain of 3D animation, shedding light on its multifaceted contributions to various aspects of the creative process. Furthermore, it delves into the transformative impact that AI technology has on enhancing creative expression within 3D animation, particularly through increased productivity, personalized content creation, and the expansion of creative boundaries. By automating repetitive and time-consuming tasks inherent in traditional production methods, AI liberates artists and animators to unleash their creative ingenuity and push the boundaries of their craft. Through empirical research and case studies, the article elucidates how AI serves as a catalyst for innovation, fostering a conducive environment for the exploration of novel techniques and artistic styles.

Participation Level in Online Knowledge Sharing: Behavioral Approach on Wikipedia (온라인 지식공유의 참여정도: 위키피디아에 대한 행태적 접근)

  • Park, Hyun Jung;Lee, Hong Joo;Kim, Jong Woo
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.97-121
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    • 2013
  • With the growing importance of knowledge for sustainable competitive advantages and innovation in a volatile environment, many researches on knowledge sharing have been conducted. However, previous researches have mostly relied on the questionnaire survey which has inherent perceptive errors of respondents. The current research has drawn the relationship among primary participant behaviors towards the participation level in knowledge sharing, basically from online user behaviors on Wikipedia, a representative community for online knowledge collaboration. Without users' participation in knowledge sharing, knowledge collaboration for creating knowledge cannot be successful. By the way, the editing patterns of Wikipedia users are diverse, resulting in different revisiting periods for the same number of edits, and thus varying results of shared knowledge. Therefore, we illuminated the participation level of knowledge sharing from two different angles of number of edits and revisiting period. The behavioral dimensions affecting the level of participation in knowledge sharing includes the article talk for public discussion and user talk for private messaging, and community registration, which are observable on Wiki platform. Public discussion is being progressed on article talk pages arranged for exchanging ideas about each article topic. An article talk page is often divided into several sections which mainly address specific type of issues raised during the article development procedure. From the diverse opinions about the relatively trivial things such as what text, link, or images should be added or removed and how they should be restructured to the profound professional insights are shared, negotiated, and improved over the course of discussion. Wikipedia also provides personal user talk pages as a private messaging tool. On these pages, diverse personal messages such as casual greetings, stories about activities on Wikipedia, and ordinary affairs of life are exchanged. If anyone wants to communicate with another person, he or she visits the person's user talk page and leaves a message. Wikipedia articles are assessed according to seven quality grades, of which the featured article level is the highest. The dataset includes participants' behavioral data related with 2,978 articles, which have reached the featured article level, with editing histories of articles, their article talk histories, and user talk histories extracted from user talk pages for each article. The time period for analysis is from the initiation of articles until their promotion to the featured article level. The number of edits represents the total number of participation in the editing of an article, and the revisiting period is the time difference between the first and last edits. At first, the participation levels of each user category classified according to behavioral dimensions have been analyzed and compared. And then, robust regressions have been conducted on the relationships among independent variables reflecting the degree of behavioral characteristics and the dependent variable representing the participation level. Especially, through adopting a motivational theory adequate for online environment in setting up research hypotheses, this work suggests a theoretical framework for the participation level of online knowledge sharing. Consequently, this work reached the following practical behavioral results besides some theoretical implications. First, both public discussion and private messaging positively affect the participation level in knowledge sharing. Second, public discussion exerts greater influence than private messaging on the participation level. Third, a synergy effect of public discussion and private messaging on the number of edits was found, whereas a pretty weak negative interaction effect of them on the revisiting period was observed. Fourth, community registration has a significant impact on the revisiting period, whereas being insignificant on the number of edits. Fifth, when it comes to the relation generated from private messaging, the frequency or depth of relation is shown to be more critical than the scope of relation for the participation level.

Analysis entrepreneurship trends using keyword analysis of news article Big Data :2013~2022 (뉴스기사 빅데이터의 키워드분석을 활용한 창업 트렌드 분석:2013~2022 )

  • Jaeeog Kim;Byunghoon Jeon
    • Journal of Platform Technology
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    • v.11 no.3
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    • pp.83-97
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    • 2023
  • This research aims to identify startup trends by analyzing a large number of news articles through semantic network analysis. Using the BIGKinds article analysis service provided by the Korea Press Foundation, 330,628 news articles from 19 newspapers from January 2013 to December 2022 were comprehensively analyzed. The study focused on exploring the changes in key issues over the past decade, considering the impact of the social environment and global economic trends on entrepreneurship. We compared the number of news articles and changes in issues before and after the COVID-19 pandemic, and visualized entrepreneurship trends through frequency analysis, relationship analysis, and correlation analysis. The results of the study showed that the top keywords for entrepreneurship-related words are startup activation and commercialization, and the correlation between COVID-19 and entrepreneurship keywords is almost negligible in a linear sense, but the number of news articles decreased during the pandemic, which has an impact. In particular, the most frequently mentioned keywords are Ministry of SMEs and Startups, place is the United States, and person is limited. The agency was the SBA, and the entrepreneurship sector is more affected by social issues than any other sector, with the important characteristics of increased frequency of prompt access. This study supplies essential basic data for understanding and exploring issues and events related to entrepreneurship and suggests future research topics in the field.

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SENSITIVITY ANALYSIS OF ATMOSPHERIC DISPERSION MODEL-RIMPUFF USING THE HARTLEY-LIKE MEASURE

  • Chutia, Rituparna;Mahanta, Supahi;Datta, D.
    • Journal of applied mathematics & informatics
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    • v.31 no.1_2
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    • pp.99-110
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    • 2013
  • In this article, sensitivity analysis of atmospheric dispersion model RIMPUFF is considered. Uncertain parameters are taken to be triangular fuzzy numbers, and sensitivity analysis is carried out by using the Hartley-like measure. Codes for evaluating membership function using the Vertex method and the Hartley-like measure are prepared using Matlab.

Conjoint Analysis for the Preferred Subjects of Elementary School Computer Education

  • Hur, Ji-Sun;Pak, Ro-Jin
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.2
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    • pp.357-364
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    • 2007
  • This article has tried to identify the preferred subjects of after school computer educations in elementary schools by means of the conjoint analysis. We surveyed the fourth, fifth and sixth grade students from the three schools in Seoul. It has been found that graphic related courses are most preferred, though such courses are taught in public schools. Based on this research, we propose a new curriculum for after school computer education.

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Robust Bayesian Models for Meta-Analysis

  • Kim, Dal-Ho;Park, Gea-Joo
    • Journal of the Korean Data and Information Science Society
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    • v.11 no.2
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    • pp.313-318
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    • 2000
  • This article addresses aspects of combining information, with special attention to meta-analysis. In specific, we consider hierarchical Bayesian models for meta-analysis under priors which are scale mixtures of normal, and thus have tail heavier than that of the normal. Numerical methods of finding Bayes estimators under these heavy tailed prior are given, and are illustrated with an actual example.

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A Multivariate GARCH Analysis on International Stock Market Integration: Korean Market Case

  • Kim, Namhyoung
    • Management Science and Financial Engineering
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    • v.21 no.1
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    • pp.31-39
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    • 2015
  • Financial integration is a phenomenon in which global financial markets are closely connected with each other. This article investigates the integration of Korean stock market with other stock markets using a multivariate GARCH analysis. We chose total seven countries including Korea for this paper based on the amount of export and then we chose major stock indices which can be thought as representative stock markets of those countries. The empirical analysis has shown that countries' financial integration.

New Approach to Integrated Structural Analysis and Design for Multistory RC/Post-Tensioned Buildings (ADAPT Edge 2012-RC/PT 다층 구조물 해석 및 설계 프로그램)

  • Aalami, Florian;Lee, Soo Heon
    • Computational Structural Engineering
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    • v.25 no.4
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    • pp.63-70
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    • 2012
  • This article introduces ADAPT Corporation's latest software product for the integrated multistory analysis and design of concrete buildings, ADAPT Edge. Edge uniquely packages user-friendly modeling of multistory buildings, accurate gravity and lateral analysis, post-tensioning, and detailed slab and beam design, all in one software package. The benefits of Edge over traditional concrete design software are explained.

Vibration Analysis for a Huge Marine Engine using a Substructure Synthesis Method (부분구조합성법을 이용한 대형선박엔진의 진동분석)

  • Lee, Jae-Whoan;Jung, Jong-Ha;Kim, Chae-Sil;Park, Hyung-Ho
    • Proceedings of the KSME Conference
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    • 2001.06b
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    • pp.651-657
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    • 2001
  • This article explains the theory of multiple mode/physical coordinate synthesis method in order to analyze the dynamic characteristics for an huge marine engine. The theory leads to make a simulation code. The natural frequencies obtained from the simulation code is compared to those from a commercial analysis software, ANSYS. The simulation code is well reviewed.

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