• Title/Summary/Keyword: model factor

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A Study on the Viewing Experience and Performance of Professional Baseball Team: The Team Performance Side and the Fan Performance Side

  • Byun, Kyung-Won
    • International journal of advanced smart convergence
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    • v.10 no.1
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    • pp.166-175
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    • 2021
  • The purpose of this study is to analyze the structural relationship among fan experience, fan satisfaction, team attachment, psychological well-being, team loyalty and quality of life. Specifically, the structural equation model is analyzed for the team performance side leading to fan experience-fan satisfaction-team attachment-team loyalty and the an performance side leading to fan experience-fan satisfaction-psychological well-being-quality of life. The survey to achieve the goal of this study is a professional baseball fan. 150 pilot envestigation and 348 main envestigation were selected as the final effective samples. Data processing was done with SPSS 23 for frequency analysis, exploratory factor analysis and reliability analysis. Also, AMOS 21 was used for confirmatory factor analysis and structural equation model analysis. The results of the analysis are as follows: First, fan experience had a positive effect on the fan satisfaction. Second, fan satisfaction had a positive effect on the team attachment. Third, fan satisfaction had a positive effect on the psychological well-being. Fourth, team attachment had a positive effect on theteam loyalty. Fifth, psychological well-being had a positive effect on the quality of life.

Suggestion for Collaboration-Based UI/UX Development Model through Risk Analysis

  • Cho, Seong-Hwan;Kim, Seung-Hee
    • Journal of Information Processing Systems
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    • v.16 no.6
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    • pp.1372-1390
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    • 2020
  • An attractive user interface (UI) design with a clear user experience (UX) is the key for the success of applications. Therefore software development projects require very close collaboration between SI developers and front-end service developers. However, methodologies for software development only exist with inadequate development processes or work standards for collaboration. This survey derived 13 risk factors in developing UI/UX from 113 risk factors of IT projects through a questionnaire and factor analysis and proposed a collaboration-based UI/UX development model that can eliminate or mitigate six risks with high weights and reliability. To extract risk factors with high reliability, factor and reliability were analyzed to extract 13 major risks, and based on the expert opinions and the results of correlation analysis, UI/UX development stages were classified into planning, design, and implementation. The causal relationships between risks were verified through regression analysis. This study is the first to expertly analyze major risks based on collaboration in UI/UX development and derive a theoretical basis that can be used in project risk management. These findings are expected to provide a basis for research on development methodologies for higher levels of front-end services and to construct rational collaboration systems between SI practitioners and front-end service providers.

Structural Relationship between Self-Leadership and Grit and Performance of Taekwondo Players: Focusing on the Multiple Mediations of Grit

  • Kim, Moo-Young
    • International journal of advanced smart convergence
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    • v.10 no.2
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    • pp.194-200
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    • 2021
  • The purpose of this study is to analyze the structural relationship among self-leadership, grit, and performance.Specifically, self-leadership was selected as an independent variable, two dimensions of grit were selected as mediator variables, and performance was selected as a dependent variable. This structural equation model is based on previous studies.The subjects of this study were middle and high school Taekwondo players, and the survey was collected using the online survey system KSDC (Korean Social-Science Data Center). The sampling method was a non-probability sampling method, convenience sampling method.A total of 367 copies were collected through this process, and 355 copies were used as the final valid samples after excluding the insincere data.Data processing was done with SPSS 23 for frequency analysis, exploratory factor analysis and reliability analysis. Also, AMOS 21 was used for confirmatory factor analysis and structural equation model analysis. The results of the analysis are as follows: First, self-leadership had a positive effect on bothi interest consistency grit and effort persistence grit. Second, it was found that both interest consistency grit and effort persistence grit have a positive effect on performance.Third,self-leadership had a positive effect on performance.

Exploring Factors Affecting Active Video Gaming and General Physical Activity

  • Choi, Ji Hye
    • Journal of Korea Game Society
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    • v.22 no.1
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    • pp.99-108
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    • 2022
  • Despite the widespread use of digital games as a means of promoting physical activity, little is known about the factors that affect active video gaming. Based on the ecological model of health behavior, this study examined how personal, environmental, and social factors would influence active video gaming and general physical activity. The results showed that while all three factors significantly influence general physical activity, social factor is the only factor that affects active video gaming. The finding highlights the importance of social factors in predicting the use of active video games.

Contents Recommendation Scheme Applying Non-preference Separately (비선호 분리 적용 콘텐츠 추천 방안)

  • Yoon Joo-young;Lee Kil-hung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.3
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    • pp.221-232
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    • 2023
  • In this paper, we propose a recommendation system based on the latent factor model using matrix factorization, which is one of the most commonly used collaborative filtering algorithms for recommendation systems. In particular, by introducing the concept of creating a list of recommended content and a list of non-preferred recommended content, and removing the non-preferred recommended content from the list of recommended content, we propose a method to ultimately increase the satisfaction. The experiment confirmed that using a separate list of non-preferred content to find non-preferred content increased precision by 135%, accuracy by 149%, and F1 score by 72% compared to using the existing recommendation list. In addition, assuming that users do not view non-preferred content through the proposed algorithm, the average evaluation score of a specific user used in the experiment increased by about 35%, from 2.55 to 3.44, thereby increasing user satisfaction. It has been confirmed that this algorithm is more effective than the algorithms used in existing recommendation systems.

Price Monitoring Automation with Marketing Forecasting Methods

  • Oksana Penkova;Oleksandr Zakharchuk;Ivan Blahun;Alina Berher;Veronika Nechytailo;Andrii Kharenko
    • International Journal of Computer Science & Network Security
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    • v.23 no.9
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    • pp.37-46
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    • 2023
  • The main aim of the article is to solve the problem of automating price monitoring using marketing forecasting methods and Excel functionality under martial law. The study used the method of algorithms, trend analysis, correlation and regression analysis, ANOVA, extrapolation, index method, etc. The importance of monitoring consumer price developments in market pricing at the macro and micro levels is proved. The introduction of a Dummy variable to account for the influence of martial law in market pricing is proposed, both in linear multiple regression modelling and in forecasting the components of the Consumer Price Index. Experimentally, the high reliability of forecasting based on a five-factor linear regression model with a Dummy variable was proved in comparison with a linear trend equation and a four-factor linear regression model. Pessimistic, realistic and optimistic scenarios were developed for forecasting the Consumer Price Index for the situation of the end of the Russian-Ukrainian war until the end of 2023 and separately until the end of 2024.

The structural behavior of lightweight concrete buildings under seismic effects

  • Yasser A.S Gamal;Mostafa Abd Elrazek
    • Coupled systems mechanics
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    • v.12 no.4
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    • pp.315-335
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    • 2023
  • The building sector has seen a huge increase in the use of lightweight concrete recently, which might result in saving in both cost and time. As a result, the study has been done on various types of concrete, including lightweight (LC), heavyweight (HC), and ordinary concrete (OC), to understand how they react to earthquake loads. The comparisons between their responses have also been taken into account in order to acquire the optimal reaction for various materials in building work. The findings demonstrate that LWC building models are more earthquake-resistant than the other varieties due to the reduction in building weight which can be a curial factor in the resistance of earthquake forces. Another crucial factor that was taken into study is the combination of various types of concrete [HC, LC, and OC] in the structural components. On the other hand, the bending moments and shear forces of LC had reduced to 17% and 19%, respectively, when compared to OC. Otherwise, the bending moment and shear force demand responses in the HC model reach their maximum values by more than 34% compared to the reference model OC. In addition, the results show that the LCC-OCR (light concrete column and ordinary concrete roof) and OCC-LCR (ordinary concrete for the column and light concrete for the roof) models' responses have fewer values than the other types.

Does GVC Participation Improve the Productivity of Korean Manufacturing Firms? : Evidence from Subgroup Analysis Using Enterprise-level Data

  • Suji Jeong;Soo-yong Shin
    • Journal of Korea Trade
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    • v.26 no.6
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    • pp.96-117
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    • 2022
  • Purpose - Considering the recent instability of world economy and its heavy dependence on foreign, Korea must formulate breakthrough approaches to proactively cope with these adverse global developments. As such, this study aims to ascertain how participation in global value chains (GVCs) relates to corporate productivity and derive policy implications. Design/methodology - This study utilizes the microdata of Korean manufacturers to develop indicators of GVC participation at the enterprise level and analyzes the effects of GVC participation on the firm's total factor productivity by using fixed effect model. Findings - Enterprises with highest rates of export-side GVC participation see their productivity grow as their export-side GVC participation rates increase. In addition, when companies are classified by their export-side GVC participation rates, increasing export values improves all firm's productivity. In particular, those with low participation rates are analyzed to achieve higher productivity by increasing their imports, not only exports, which implies that companies with lower export-side GVC participation can boost productivity by reinforcing their export and import activities. Originality/value - This research paper distinguishes itself from others in that it makes a novel attempt to design the indicators of GVC participation at the enterprise level, not at the national or industry level. In addition, this study contributes to the existing literature by dividing companies into subgroups depending on their GVC participation rates for each of export and import and identifying variances in the effect of GVC participation on productivity growth among subgroups.

Wave propagation of CNTRC beams resting on elastic foundation based on various higher-order beam theories

  • Yi-Wen Zhang;Hao-Xuan Ding;Gui-Lin She;Abdelouahed Tounsi
    • Geomechanics and Engineering
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    • v.33 no.4
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    • pp.381-391
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    • 2023
  • The aim of this work is to analyze and predict the wave propagation behavior of the carbon nanotube reinforced composites (CNTRC) beams within the framework of various higher order shear deformation beam theory. Using the Euler-Lagrange principle, the wave equations for CNTRC beams are derived, where the determining factor is to make the determinant equal to zero. Based on the eigenvalue method, the relationship between wave number and circular frequency is obtained. Furthermore, the phase and group velocities during wave propagation are obtained as a function of wave number, and the material properties of CNTRC beams are estimated by the mixture rule. In this paper, various higher order shear beam theory including Euler beam theory, Timoshenko beam theory and other beam theories are mainly adopted to analyze the wave propagation problem of the CNTRC beams, and by this way, we conduct a comparative analysis to verify the correctness of this paper. The mathematical model provided in this paper is verified numerically by comparing it with some existing results. We further investigate the effects of different enhancement modes of CNTs, volume fraction of CNTs, spring factor and other aspects on the wave propagation behaviors of the CNTRC beams.

A The Effect of Trust Transference on Shopping Behavior in Live Streaming Commerce (라이브 스트리밍 커머스 수용과정에서 신뢰전이가 쇼핑행동에 미치는 영향)

  • In-Won Kang;So-Jeong Yoon;Eun-Jong An;Lan Yang
    • Korea Trade Review
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    • v.47 no.1
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    • pp.25-42
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    • 2022
  • This study identified consumers' shopping behavior in live streaming commerce. To this end, this study put the uncertainty issue of live shopping and the transfer of trust at the center of the discussion. The verification of the research model resulted in the following conclusions. First, reduced uncertainty in live shopping was a factor in increasing the level of involvement and attachment in the service. These results showed that resolving uncertainty in newly introduced services is a key factor in determining users' positive attitudes. Second, the trust in shopping sites influenced the current live shopping attitude. This is because the transfer of trust is also valid in live shopping, which demonstrated the importance of building trust. Third, this study proposed and validated a research model that could systematically understand the consumption process of live streaming shopping. Furthermore, this study provides a beneficial implication for those who want to use live shopping in practice.