• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.507-517
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• 2020

The present research intends to examine the relationship between the Big Five personality traits and leadership initiations among the marketing executives in Delhi NCR (INDIA), and seeks to uncover the predictors of leadership initiations within personality traits. The data are collected through online survey method using different social media platforms. A sample of 233 (male =136 and female =97) marketing executive's responses were included. The data collected with the help of self-reported Big Five model inventory and leadership initiation test. The collected data were analyzed statistically by using descriptive statistics, correlation. and stepwise multiple regression analysis. The results revealed that the age of respondents inversely correlated with leadership initiation. Neuroticism revealed significant inverse correlation with leadership initiation, whereas significant positive correlations were found between extraversion, conscientiousness, agreeableness, and leadership initiations, while openness to experience revealed insignificant positive correlation with leadership initiation. Extraversion and conscientiousness appeared as the most dominant personality traits among marketing executives, irrespective of gender, that positively influenced leadership initiation and appeared as the predictor of leadership initiation. In male executives extraversion and age emerged as the predictors of leadership behavior, while in female executives extraversion and openness to experience personality traits appeared as the predictors of leadership initiation.

• Journal of Distribution Science
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• v.20 no.12
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• pp.43-57
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• 2022

Purpose: This study discusses the phenomenon of the uncertain sustainability of SMEs in developing countries. SMEs face various challenges in the dynamics of a competitive environment, which threaten their growth and sustainability. This study aims to address a research gap between company's internal resources, in the form of absorptive capacity, and its business performance. By using product quality as a mediator, which has never been studied before, this research presents a novelty to answer the existing research gap using the Resource Based Theory (RBT) perspective. Research design, data and methodology: Using quantitative method, data are collected from 164 respondents, who are owners or managers of furniture manufacturing SMEs in Gerbangkertosusila Area, East Java, Indonesia. The data are analyzed using Partial Least Square (PLS) - Structural Equation Modeling (SEM). Results: The findings show that absorptive capacity has a direct and significant effect on business performance and indirectly through product quality. Conclusion: Furniture manufacturing SMEs are advised to focus on developing absorptive capacity reflected in good product quality, in order to improve their business performance. This is especially important to survive the crisis caused by the Covid-19 pandemic. Thus, the results of this study contribute to the development of RBT, and there are several suggestions for further research.

• International journal of advanced smart convergence
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• v.4 no.2
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• pp.61-68
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• 2015

For a recent most companies to make efficient business management, we are using a groupware service of integrated information system of the entire group. Groupware service integrates the cooperation in excellent synergy and duplicates has been business functions of the business, through the improvement of multi-purpose business processing capacity, there is an advantage of reduced operating costs. However, if the parent company and subsidiary, or to handle common tasks such information agency, which may cause differences in the format of the data passed in the case of a need to provide a document. Therefore, in this paper, in order to solve the heterogeneity problem in data between groups, the data system of the hub base of the cloud is provided. The proposed system is intended to improve the groupware environment including the interoperability of integrated standardized environmental data sharing service.

• Journal of Multimedia Information System
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• v.8 no.1
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• pp.61-68
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• 2021

The paper is based on data collected from the Amazon website (specific in the Handmade's Category) to understand and analyze Vietnamese artisans' business context. Data analysis is also applied to determine the factors that bring success Handmade products and compare products of the same industry among competitors to find out potential products. By collecting data from Amazon and analyzing the data, we extracted useful information for online business developers. Besides, the list of potential products in Handmade sector can be referred to improve the business and compete with competitors. This paper also proposes solutions to help Vietnamese products become more appealing to international customers on the Amazon website.

• Asian Journal of Business Environment
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• v.7 no.3
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• pp.33-43
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• 2017

Purpose - It is necessary to identify the level of marketing activities of the businesses that are recognized and carried out by the small and midsize businesses that have been supported by the government's small-business policy Research design, data, and methodology - The method of data analysis of this study was conducted by the researcher's acquaintances and center staffs who visited small business owners in a small - scale company operating a business. Results - It is found that the financial support part of the support programs for the small business owners is not related to the center affection among the support programs for the small business owners of the government. This is a fact-finding process that can be regarded as a forming process that has a significant effect on. As a result of the analysis, both marketing activity and center attachment were found to be possible parameters which have significant influence on business performance. Conclusions - Developing a variety of contact and customer management programs with small business owners in the field has enabled the government's policies to effectively penetrate the site, and these efforts eventually resulted in more business results for small business owners.

• Journal of Distribution Science
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• v.19 no.11
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• pp.5-15
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• 2021

Purpose: The current study aims at knowing and testing factors supporting business and how to distribute it for resilience business in new normal era. Factors Supporting business resilience will be seen in terms of entrepreneurial competence, technology utilization and government support for business resilience through entrepreneurial spirit as an intervening variable. Research design, data, and methodology: A constructed questionnaire in direct survey and interview was conducted with 97 respondents in South Sulawesi. Partial Least Square (PLS) analysis, was utilized to analyze and verify all the data. Results: This study indicated entrepreneurial competence and utilization of technology have a positive and significant effect on entrepreneurial spirit, while government support has no significant effect on entrepreneurial spirit. This study also indicated that entrepreneurial spirit has a significant effect on business resilience. Conclusion: To increase business resilience, it is very important to have entrepreneurial skills and mastery on utilization of technology. To anticipate future crises, entrepreneurial competencies must be evenly distributed both for business owners and for all members of the organization. To institutionalize crisis management in business, it is important for SMEs in Indonesia to develop an institutionalized Business Crisis Management.

• Journal of Information Technology Applications and Management
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• v.17 no.3
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• pp.1-24
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• 2010

Most of enterprises depend on a data modeler during developing their management information systems. In formulating business requirements for information systems, they widely and naturally use the interview method between a data modeler and a field worker. But, the discrepancy between both parties would certainly cause information loss and distortion that lead to let the systems not faithful to real business works. To improve or avoid modeler-dependant data modeling process, many automated data design CASE tools have been introduced. However, since most of traditional CASE tools just support drawing works for conceptual data design, a data modeler could not generate an ERD faithful to real business works and a user could not use them without any knowledge on database. Although some CASE tools supported conceptual data design, they still required too much preliminary database knowledge for a user. Against these traditional CASE tools, we proposed a Requirement-Oriented Entity Relationship Model for automated data design tool, called ROERM. Based on Non-Stop Methodology, ROERM adopts inner systematic modules for complete and sound ERD that is faithful to real field works, where modules are composed of interaction modules with a user, rules of schema operations and sentence translations. In addition to structure design of ROERM, we also devise detailed algorithms and perform an experiment for a case study.

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.470-473
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• 2009

We have developed a novel driving method, Six times Rate Driving(SRD) for the purpose of making cost competitive TFT-LCD. By applying SRD method to an a-Si TFT-LCD, the driving rate was increased six times as it was named but the number of data lines and so its D-Ics were reduced to one sixth of the conventional one which resulted in the cost saving of that much. We also newly designed the gate driver in order to avoid any expansion of the bezel width caused by applying SRD. Our newly developed driving technology, SRD was successfully applied to 7.0-inch WSVGA (1024 ${\times}$ 600) TFT-LCD which can be driven with only one data D-IC and here introduced.

• Journal of Distribution Science
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• v.19 no.4
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• pp.15-24
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• 2021

Purpose: This study deals with the strategic direction of platform business in the 4th Industrial Revolution. In a changing industrial environment, companies that leverage platform businesses can benefit greatly. Platform business is especially important in the distribution industry, so a variety of case analysis studies are needed. In this study, the Shinsegae Group, a platform leader, was selected and case-analyzed to learn more about the growth and development of platform businesses in the distribution industry. Research design, data and Methodology: Various literature research on platform business and secondary data of the distribution industry were reviewed. In this study, additionally, the interview method was used to discuss the development of more platform businesses through the Shinsegae and E-mart related departments. Results: This study investigated the development process and success of distribution platforms. First, a successful platform business builds multi distribution channels. Second, a successful distribution platform business attracts many participants. Third, a successful distribution develops various private label products to build a sustainable platform system. Conclusions and Implications: This study could provide a good example for the growth of companies with distribution platform business. Further implications were discussed.

• Journal of KIISE:Software and Applications
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• v.37 no.4
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• pp.239-251
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• 2010

In modern distributed enterprise applications that have multilayered architecture, business entities are a kind of crosscutting concerns running through service components that implements business logic in each layer. When business entities are modified, service components related to them should also be modified so that they can deal with those business entities with new types, even though their functionality remains the same. Our previous paper proposed what we call the DTT (Data Type-Tolerant) component model to efficiently process the variability of business entities, which are data externalized from service components. While the DTT component model, by removing direct coupling between service components and business entities, exempts the need to rewrite service components when business entities are modified, it incurs the burden of implementing data type converters that mediate between them. To solve this problem, this paper proposes a method to use ontology as the metadata of both SCDTs (Self-Contained Data Types) in service components and business entities, and a method to generate data type converter code using the ontology. This ontology-based DTT component model greatly enhances the reusability of service components and the efficiency in processing data variability by allowing the computer to automatically generate data type converters without error.