• The International Journal of Costume Culture
• /
• v.6 no.1
• /
• pp.19-29
• /
• 2003

The 3D measurement data expected be useful to give appropriate garment fit and development of MTM(Made-to-Measure) CAD software. The researcher surveyed the need and use of national anthropometric data of the apparel industry. 17 Korean apparel manufacturers participated in the study. The need of anthropometric data at 5 different apparel business sectors was measured: men's suit, women's dress, casual-wear, underwear, and active sportswear. The result of the survey shows that height and bust, waist, hip circumferences are needed by all of the business sectors. The body measurements at the scye and upper arm area were need most by the men's suit manufacturers. The women's foundation garment manufacturers were well prepared for the use of the 3D body scan data and they expected the potential benefits of 3D body scan data would be great. The researcher also conducted a case study and found a pro and con of the using 3D body scan data for apparel product developing process. In the current stage of technical advance, a reasonable method was required to get nude like scan data for the women's foundation garment manufacturer. The researcher concluded that the apparel designer could use the 3D scan data for developing tremendous style garment design and pattern making.

• Journal of Fashion Business
• /
• v.17 no.1
• /
• pp.30-41
• /
• 2013

Augmented reality techniques have been increasingly employed in the textile and fashion industry as well as computer graphics sectors. Three-dimensional virtual clothing CAD systems have also been widely used in the textile industries and academic institutes. Motion tracking techniques are grafted together in the 3D and augmented reality techniques in order to develop the virtual three-dimensional clothing and fitting systems in the fashion and textile industry sectors. In this study, three-dimensional virtual clothing sample has been prepared using a 3D virtual clothing CAD along with a 3D scanning and reconstruction system. Motion of the user has been captured through an RGB-D sensor system, and the virtual clothing fitted on the user's body is allowed to move along with the captured motion flow of the user. Acutal fabric specimens are selected for the material characterization. This study is a primary step toward building a comprehensive system for the user to experience interactively virtual clothing under real environment.

• Agribusiness and Information Management
• /
• v.10 no.1
• /
• pp.26-34
• /
• 2018

Development, availability and users' participation in the information service of agricultural food sector is slower than that of other sectors in Korea. This phenomenon comes from the lack of development strategies and comparative analyses with other sectors, as well as the agricultural food industry's own characteristics which is developed based on the offline market. In this research, we will discuss about how to improve the public information service of agricultural food sector based on the example of establishing service improvement strategy by the most representative Okdab. In this research, we have drawn the following implications for development strategy of Okdab service based on three core keywords derived from benchmarking KOSIS. Three core subjects for upgrading public information service are 'analysis information with expertise and differentiation,' 'user cooperation-oriented platform,' and 'intuitive nd effective UX,' and to strength B.I. as an integrated information service of agricultural food sector, we need to identify the users' satisfaction and needs for the existing service, establish an optimized operating strategy on a short-term, mid-term and long term bases, and implement them in a positive way. Based on this positive action, it can become a trustworthy information service for the users, and we can expect the improvement of the users' recognition for its consistent usability and efficiency.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.1
• /
• pp.15-22
• /
• 2021

This study aims to obtain a stock investment strategy model based on the industrial sector in Indonesia Stock Exchange (IDX). This study uses IDX data for the period of January 1996 to December 2016. This study uses the Markov Regime Switching Model to identify trends in market conditions that occur in industrial sectors on IDX. Furthermore, by using the Logit Regression Model, we can see the influence of economic factors in determining trends in market conditions sectorally and the probability of trends in market conditions. This probability can be the basis for determining stock investment decisions in certain sectors. The results showed descriptively that the stocks of the consumer goods industry sector had the highest average return and the lowest standard deviation. The trend in sectoral stock market conditions that occur in IDX can be divided into two conditions, namely bullish condition (high returns and low volatility) and bearish condition (low returns and high volatility). Differences in the conditions are mainly due to differences in volatility. The use of a Logit Regression Model to produce probability of market conditions and to estimate the influence of economic factors in determining stock market conditions produces models that have varying predictive abilities.

• Journal of Information Technology Applications and Management
• /
• v.22 no.3
• /
• pp.65-81
• /
• 2015

This study reports a preliminary finding of the types and numbers of graphs being presented in the annual reports of about thirty top listed companies trading publicly in the stock markets of three countries-Thailand (SET), Malaysia (BM), and Singapore (SGX)-that were chosen based on their inclusion in the ASEAN Stars Index under the ASEAN Trading Link project. A total of 6,753 graphs from nineteen sectors were extracted and examined. Banking, real estate, and telecommunications are ranked the three most condense sectors, accounting for 50.2% of the total number of graphs observed. The three most used graphs are the Conservative Bar, Donut graph and Stack Bar. Less than one percent of Infographic type graphs were used. The five most depicted graphed variables are Asset, Revenue, Net profit, Liability, and Dividend. Using rudimentary framework to detect distorted or misleading statistical graphs, the study found 60.6% of the graphs distorted across the three markets, SET, BM, and SGX. BM ranked first in percentages of graphs being distortedly presented (73%). The other two markets, SET and SGX, have about the same proportions, 53.88% and 53.03%, respectively. Likewise, the proportions of Well-designed versus Inappropriate-designed graphs of the latter two markets are a little over one time (SET = 1 : 1.17; SGX = 1 : 1.13), whereas the proportion is almost triple for the BM market (BM = 1 : 2.70). In addition, the trend of distorted graphs found is slightly increasing as the longevity of the ASEAN Stars Index increases. One possible explanation for the relatively equal proportion of inappropriate graphs found is that SET is the smallest market and SGX, though the largest, is the most regulated market. BM, on the other hand, may want to present their financial data in the most attractive manner to prospective investors, thus, regulatory constraints and governance structure are still lenient.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.11
• /
• pp.1041-1047
• /
• 2020

The intention of this paper is to give a better understanding about the implementation of sustainable manufacturing practice in the textile companies in Indonesia as one of the promising sectors in the manufacturing industry. The data was collected by taking a case study approach in one of the leading textile companies in Indonesia. Questionnaire and interview techniques were used to gather in-depth information about the implementation of a sustainable concept in the company. The result reveals that the extent of the implementation of Sustainable Manufacturing Practices (SMP) in the companies are at a level of moderate to high. From the three dimensions measured which are environment, economy, and social dimensions, the evaluation result shows good performance in terms of the implementation of sustainable concepts, like low level of gas emission, high percentage of renewable energy usage, cost reduction rate, high quality of life, etc. From this result, the authors then develop a sustainable manufacturing model in the wider coverage to be implemented not only in the textile industry but is expected to be implemented in manufacturing sectors as well. This model consists of at least seven basic archetypes which are divided into three dominant areas: technological innovation, economical, and social areas which aim to bring better performance in the manufacturing industry of Indonesia.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.7
• /
• pp.55-66
• /
• 2021

The purpose of this study is to analyze the relationship and effects of variables both directly and indirectly (e.g., investment (INV), government expenditure (GE), unemployment rate (UR), economic growth (EG), and income inequality). The analytical phases consist, first, to transform the data using the Log Natural (Ln) method. Second, to check normality and multicollinearity of data. Third, to test direct effects of variables (government expenditure and investment effect on the unemployment rate and economic growth; investment on government expenditure; economic growth on unemployment rate; economic growth and unemployment rate on income inequality). Fourth, to test indirect effects using Sobel test, which involves UR and EG as intervening variable. Fifth, to test hypotheses with p-value < 0.05. The results of the study reveal that, of the 12 relationships, statistics show that 11 variations of the association have significant positive and negative effects. Theoretically, the different characters and goals of GE and INV in each country will have a different impact on EG and UR goals. The study provides an input, especially for the government. To create optimal EG through GE and INV, it is necessary to allocate budgets to industrial sectors that can absorb a massive labor force and to new economic growth sectors.

• Agribusiness and Information Management
• /
• v.9 no.2
• /
• pp.22-26
• /
• 2017

This study aims to understand why public information systems in agricultural fields have shown lower performances than other industrialized fields and industries and how these problems would be fixed and overcame. To accomplish this research purpose, this study would overview the previous studies on developing agricultural information systems in public sectors and would find out meaningful and considerable factors. This study would accept the methodologies of literature review and systems thinking approaches to understand the relationships among the found factors and to suggest the conceptual research model. Agricultural information system should take care to reduce implement and maintenance costs to reduce the negative relationships between costs and expected service value and between expected service value to perceived service value. Also, it should be understood that impersonal response would reduce the eager to use the services, so the government sectors should consider positively to adopt the concept of CRM even though the government sectors traditionally have ignored its necessity. The failure of public information systems/services may be caused not only by lack of the contents but also by the failure of the persistent post management.

• The Journal of Industrial Distribution & Business
• /
• v.15 no.2
• /
• pp.1-10
• /
• 2024

Purpose: The aim of this study is to examine the factors influencing prospects toward for the metaverse in both the public and private sectors, focusing on the perspectives of millennials and generation Z that were rarely examined in previous studies. Research design, data and methodology: This study employed an online survey as its research methodology utilizing factor analysis, ANOVA, and regression analysis to test the formulated hypotheses. Results: The findings of this study reveal that factors such as citizen/customer relationship management, the application of metaverse in both in the public and private sectors. Moreover, the effect size of applying the metaverse to cities on prospects toward the Metaverse was notably higher in the public sector. The effect size of metaverse management for customer relationship management showed a greater impact in the private sector. Conclusions: The results carry significant managerial and policy implications. They shed light on how millennials and generation Z perceive the applications of the metaverse in relation to cities, products, and brands. Notably, the results suggest that application of the metaverse for cities and management of customer relationships for products and brands emerge as key factors influencing the prospect of the metaverse in the public and private sectors.

• Journal of Information Technology Applications and Management
• /
• v.20 no.4
• /
• pp.165-189
• /
• 2013

The advance of the smart working environment came the expectation that it would innovate and revolutionize the way people work, particularly in a society where smart work is readily available for creating a collaborative and 'connected' business. One of the core infrastructure elements for making smart work a viable option is the smart work center, the promotion of which requires a new form of 'smart work center business model' that can satisfy the purposes of both public services and private businesses. This calls for collaboration between the public and private sectors. Recently a number of businesses have been making significant headway in the creation of a new environment for business support and collaboration by adopting a sharing economy business model in their offices. The so-called 'Coworking Space' is an advanced form of business environment in the emerging 'smart work' era, and comes with the benefits of reduced costs as a result of sharing office space and knowledge sharing through the use of human networks. This paper describes the framework of a 'smart work center business model based on the sharing economy' using a BMC (Business Model Canvas), with an understanding of the characteristics inherent to the smart work center and the sharing economy. It was on the basis of this framework that a smart work center model for business incubation and startup, a private smart work center model for childcare services, and a community marketplace model with a global network were developed.