• Journal of Family Resource Management and Policy Review
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• v.5 no.1
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• pp.79-95
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• 2001

The purpose of this study is to provide basic data for the future studies on the succession of family business by investing its current condition and related variables in which it is sustained through the transfer of thier ownership and management right. The findings showed that job satisfaction is supposed to depend on the ownership of business-place and number of employees. That is, respondents who have the ownership of the business-place and employ more workers were more satisfied with their jobs than those who rented the work-place and have fewer employees. Variables affecting the whether or not the family business will be inherited are composed of who owned the business-place, how many workers are employed and how satisfied the workers are with their jobs.

• Journal of Korean Society for Quality Management
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• v.30 no.4
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• pp.15-25
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• 2002

This paper considers supplier selection process for e-business & ISO 9001 quality management system environments. Determining suitable suppliers in the electronic commerce has become a key strategic consideration. However, the nature of these decisions is usually complex and unstructured. In this paper, a Quality Estimated Supplier Selection (QESS) model is proposed to deal with the supplier selection problems in the e-business(Business to Business: B to B). In the supplier selection, quality management factors will be considered for the first time, and then price, and delivery etc. In the first level, we deal with the quality management factors such as quality management audit, product test, engineering man-power, capability index and training time etc., based on the five point scale. In the second level, a QESS model determines the final solution by considering factors such as price, production lead-time and delivery time.

• The Journal of Economics, Marketing and Management
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• v.1 no.1
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• pp.1-14
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• 2013

Firstly, this article expounds that business service industry plays an important role in adjusting industrial structure, transforming mode of economic growth, improving people's living standards, enhancing Enterprise's Kernel Competitiveness and promoting the development of service industry. Then it analyzes the development of business services in Shandong from two perspectives. The first perspective, by using methodology for statistical analysis, it will review the development scale, professional level, the number of opening units, quantity of employment, and operating revenue of business services in Shandong. On this basis, the article will summarize its development characteristics, experience and existing shortcomings. The second perspective, by using comparison analysis methodology, to compare the development of Shandong with Jiangsu, Guangdong, Zhejiang and Shanghai's and found the subjective and objective factors that restrict the development of business service industry in Shandong. In the light of restricting factors, countermeasures have been developed based on the experience at home and abroad. These countermeasures will contribute to promoting the optimization and upgrading of industrial structure, improving industrial competitiveness and speeding up the economic development rapidly and stably.

• Korean Chemical Engineering Research
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• v.44 no.6
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• pp.659-668
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• 2006

The optimization of supercritical water oxidation (SCWO) process for decomposing nitromethane was studied by means of a design of experiments. The optimum operating region for the SCWO process to minimize COD and T-N of treated water was obtained in a lab scale unit. The authors had compared the results from a SCWO pilot plant with those from a lab scale system to explore the problems of scale-up of SCWO process. The COD and T-N in treated waters were selected as key process output variables (KPOV) for optimization, and the reaction temperature (Temp) and the mole ratio of nitromethane to ammonium hydroxide (NAR) were selected as key process input variables (KPIV) through the preliminary tests. The central composite design as a statistical design of experiments was applied to the optimization, and the experimental results were analyzed by means of the response surface method. From the main effects analysis, it was declared that COD of treated water steeply decreased with increasing Temp but slightly decreased with an increase in NAR, and T-N decreased with increasing both Temp and NAR. At lower Temp as $420{\sim}430^{\circ}C$, the T-N steeply decreased with an increase in NAR, however its variation was negligible at higher Temp above $450^{\circ}C$. The regression equations for COD and T-N were obtained as quadratic models with coded Temp and NAR, and they were confirmed with coefficient of determination ($r^2$) and normality of standardized residuals. The optimum operating region was defined as Temp $450-460^{\circ}C$ and NAR 1.03-1.08 by the intersection area of COD < 2 mg/L and T-N < 40 mg/L with regression equations and considering corrosion prevention. To confirm the optimization results and investigate the scale-up problems of SCWO process, the nitromethane was decomposed in a pilot plant. The experimental results from a SCWO pilot plant were compared with regression equations of COD and T-N, respectively. The results of COD and T-N from a pilot plant could be predicted well with regression equations which were derived in a lab scale SCWO system, although the errors of pilot plant data were larger than lab ones. The predictabilities were confirmed by the parity plots and the normality analyses of standardized residuals.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.443-453
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• 2021

Gen Z is a special generation that was born with technology, converging the best development conditions making them an important part of the future development of Vietnam's economy. Gen Z is an important part of the future development of Vietnam's economy. The purpose of this study is to identify and measure the impact of various factors affecting the business intentions of Gen Z in Vietnam during the Covid pandemic. The study did not go into the details of entrepreneurship, instead focused on explaining the impact of factors such as risk-taking, market economic trends, influencers, confidence, and family business traditions on the business intentions of Gen Z. The study was carried out using quantitative and qualitative methods with 335 data points collected online via survey links. The methods used to test the scale such as Cronbach alpha, CFA, SEM are used to examine the correlation between factors affecting the business intention of Gen Z in Vietnam. The results showed that the business intention of Gen Z in Vietnam is positively correlated and significantly influenced by confidence and risk-taking. Furthermore, the study reveals a difference in entrepreneurship of Gen Z Vietnam based on gender and education level.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.19-27
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• 2020

This research investigates the determinants of investment capital size in Vietnam's small and medium-sized firms. The study employs a sample of 458 small and medium-sized enterprises in the country. The study is based on data collects in the areas of Hanoi, Bac Can, Buon Ma Thuot and Pleiku Provinces at time series data of October 2019. This study also identifies the factors that affect the size of investment capital in medium and small-sized enterprises in Vietnam. Data are processed via STATA 14.0 and SPSS 20.0 software. The research results indicate that (1) business lines, (2) import and export business, (3) type of business registration, (4) business location, (5) operating time, and (6) the percentage of the organization's capital contribution are factors that impact on the size of the investment capital of the business. Business line and business location have negative impacts on investment capital size. The operating time, the percentage of the organization's capital contribution, import and export business, and the type of business registration have positive impacts on investment capital size. In addition, the findings of this study also suggest that the operation time has the highest impact on investment capital size of the small and medium-sized firms in Vietnam.

• Journal of the Korea Safety Management & Science
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• v.20 no.2
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• pp.65-76
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• 2018

Recently, most of the information system use environment is changing to GUI environment based on windows and web. Most of the development tools for building such a GUI-based information system support object-oriented and event-driven programming concepts. However, there is still a lack of a development methodology that systematically supports event-based information system construction. From a business perspective, an information system is one that supports business processes efficiently and effectively to improve business performance. These business processes are composed of business activities which involve a series of business events. A business event is executed according to a business scenario. Therefore, it is necessary to grasp these events in the requirements analysis stage and to apply it on the system development methodology. However, information systems development methodology which systematically reflect the event processing concept still is insufficient. From this viewpoint, this paper proposes an event-driven scenario-based development methodology that can meet the recent development environment of information systems, and applies the proposed methodology to a small scale information system development case.

• Journal of Wellbeing Management and Applied Psychology
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• v.3 no.3
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• pp.21-30
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• 2020

Indonesia is currently intensifying its level of awareness of the importance of starting a business as an entrepreneur. How to respond to technological developments to help support the growth of a start-up entrepreneur. Usually before buying a product, customers always think of many factors that can influence their buying decisions in online shopping. The two factors that most influencing are, Discounts and Promotions, which can greatly determine people's purchase intention, before finally buying the product. The researcher begin research with the aim to understand whether these 2 factors are factors that really affect someone's buying interest before doing online shopping. For this study, information and data collected by the survey by using means of questionnaires. And it standard measurements using a 5-point Likert scale, and processed by IBM SPSS Statistics 25 program. In this study, it has been found that indeed these two factors, Discounts and Promotions, are both influential in encouraging someone's purchase intention in conducting online shopping transactions. We found that both factors are significant and influence each other. The results of this study expected to help broaden the horizons of buyers and sellers about the benefits of discounts and promotions in online shopping.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.571-578
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• 2021

The outbreak of the COVID-19 pandemic, which began in 2020, had a significant impact on the economy and business activities worldwide. Large companies, as well as small businesses were affected, many of them had to scale down or divert their businesses, and some even had to stop. This extraordinary situation requires business people to make innovations and adjustments to survive during a pandemic. Entering the digital era, business players are helped by the ease of internet access, which will make it easier for SME players to get data from their consumers. Business actors can use this data to innovate and create new creations to improve business performance during this pandemic. This research aims to identify how small and medium enterprises can take advantage of Big Data to improve marketing performance through innovation and value creation. The research methodology used the in this research is quantitative method. The respondents are SME producers of food and beverage, with a total of 150 respondents. The results in the study indicate that all the proposed hypotheses are accepted. The most significant influence is found on the relationship of Big Data to value creation. The lowest effect was obtained from the relationship between Big Data and marketing performance through the mediation variable and innovation capability.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.204-212
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• 2022

In this paper, a contribution is presented covering the data set in improving and developing electronic services provided to citizens through e-government services based on business intelligence in government agencies in the Republic of Sudan. The Business Intelligence Concept Survey was conducted from the perceptions of information department employees in government agencies. The survey was conducted from April to June 2021 using questionnaires. The dataset contains responses about the factors that influence the use of business intelligence and the barriers and limitations to the use of business intelligence. A five-point Likert scale was used to analyze the quantitative data. The opportunities and challenges associated with it were also discussed and explored. As evidenced by the results, the information department employees agree that business intelligence improves the government decision-making process, which helps decision makers and decision-makers to find alternatives and opportunities that contribute to making more accurate and timely decisions. The results also indicate that creating the infrastructure for applying business intelligence in the e-government work model contributes to the successful implementation of business intelligence in Sudan.