• 정보화연구
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• 제9권3호
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• pp.265-273
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• 2012

M&S 및 SBA의 지속적 발전을 위해서는 성숙도 측정모형의 개발이 매우 중요한 사안이다. 성숙도 측정모형은 일반적으로 각 분야에 밀접하게 연관된 조직의 프로세스 수행 능력 혹은 조직 자체의 성숙도를 측정하고 지속적인 프로세스 개선 및 조직의 발전을 위한 기준을 제시한다. 또한 성숙도 모형은 성숙도를 정량적 지표로 환산하기 위한 참조모형과 실제로 대상 조직 혹은 프로세스에 대한 능력을 정량화하여 심사하는 모형으로 구성된다. 본 논문에서는 기 개발된 SBA 성숙도 측정모형의 기준모형을 간략히 소개하고 여러 가지 성숙도 심사 방법론을 고찰하여 SBA 성숙도 심사 방법론의 프레임워크를 마련하고자 한다.

• 정보보호학회논문지
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• 제26권5호
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• pp.1251-1258
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• 2016

최근 IT서비스 이용자들의 개인정보 유출 사고가 종종 발생하고 있다. 일반적으로 IT서비스 이용자들은 전자메일 계정을 가지고 있다. 전자메일은 개인의 사적인 커뮤니케이션 뿐만 아니라, 공적인 커뮤니케이션 도구로 활용이 증가하고 있다. 그렇기 때문에 전자메일 이용이 확산되는 현 시점에서 보다 안전한 전자메일 서비스 이용을 위한 패스워드 관리는 매우 중요하다. 본 연구에서는 전자메일 서비스 이용자들을 대상으로 온라인 설문조사를 수행하였고, 구조방정식 소프트웨어를 이용해 패스워드 관리에 대한 심리적 특성과 행동을 분석하였다. 본 연구결과는 전자메일 패스워드 관리와 관련된 기업차원 개인정보보안 전략 수립에 유용한 시사점을 제공해 줄 것이다.

• 유통과학연구
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• 제19권5호
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• pp.5-12
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• 2021

Purpose: Research on supply chain sustainability is important for exporters When the factor of sustainable development is considered by the businesses as well as governments of all countries. Research on supply chain sustainability is important for exporters. Sustainable supply chain management and supply chain dynamics will help enterprises adapt to changes in the business environment. This study analyzes the impact of sustainable supply chain management, and supply chain dynamic capabilities on the sustainable development of exporting enterprises in Vietnam. Research design, data, and methodology: The research model and survey are designed based on previous studies after surveying export enterprises. With 185 samples collected from export enterprises. The Structural Equation Modeling (SEM) analysis technique is used. Data analysis is performed on SPSS and AMOS software (Reliability test, Confirmatory Factor Analysis, SEM). Results: Sustainable supply chain management and supply chain dynamic capabilities all have positive effects on the sustainable development of businesses (sustainable development is measured by distribution: measuring economic efficiency, social efficiency, and environmental performance). Conclusions: From the results of this study, the authors also made several recommendations to help export enterprises develop sustainability based on sustainable supply chain management and supply chain dynamic capabilities.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.581-590
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• 2021

The purpose of the research was to investigate the characteristics of technology users, their knowledge about the technology and whether that affected technology adoption, and, through the measurement utilitarian value as a mediator, to find out whether the behavior toward mobile payment technology adoption is considered most effective during the COVID-19 pandemic, especially at this research locus, Central Java Province, Indonesian Batik SME consumers. The research methodology was quantitative with data processing using Structural Equation Modeling (SEM) with the final sample of 294 respondents' answers. To the best of the researcher's knowledge, this was an initial attempt toward a holistic and integrative approach to explain the adoption of mobile payment in Indonesia with different consumer characteristics in each region of Indonesia and varying levels of knowledge about mobile payment applications. The results show that the utilitarian value as a mediating variable only affected the relationship between the characteristics of technology users and adoption behavior. The findings of this study suggest that the stronger the knowledge of technology users, the more influential the adoption behavior of the mobile payment technology for Indonesian Batik small-, and medium-sized enterprise (SME) consumers during the COVID-19 pandemic in the new normal era.

• 한국IT서비스학회지
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• 제21권1호
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• pp.103-125
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• 2022

This study empirically examines the correlation between the data, system, service quality, collective intelligence, innovation activity, and work performance of the KMS for employees of state-run enterprises. This study also confirmed that collective intelligence and innovation activity have a mediating effect on the relationship between KMS system quality and work performance. For this study, employees of state-run enterprises completed a 5-point Likert scale survey, and the data obtained were analyzed with descriptive statistics. The reliability and validity of variables were also verified through a measurement model analysis. Structural equation modeling of IBM SPSS 26 and AMOS 26 were used to prove the hypothesis. Through this study, For the improvement of sustainable work performance of state-run enterprises, which is a difficult issue to solve, not only should the quality of the KMS utilized in the enterprises be improved and managed, but also the design for various incentive schemes tailored to the enterprises' job characteristics, such as rewards, HR bonus, work incentives, job allowance, and encouragement from the head of the enterprise, should be reviewed and continuously developed in reflection of the active collective intelligence of the employees and the effect of innovation activities. Then, the work performance of public institutions will increase.

• 유통과학연구
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• 제20권5호
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• pp.1-11
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• 2022

Purpose: This study attemptsto investigate the moderating effects of environmental turbulence (ET) between learning orientation (LO) and SMEs' performance. Research design, data, and Methodology: To gain insights and provide implications for manufacturing SMEs in Pakistan, this study adopted simple random sampling to collect 379 valid responses. Data were collected through a self-administrative questionnaire from manufacturing SMEs owners/managers. Partial least squares of structural equation modeling have been used to test research hypotheses by using SmartPLS® 3.0 software. Results: The study's primary finding is that LO has a significantly positive effect on SMEs' performance and this relationship is strengthened under the moderating influence of environmental turbulence (ET). Conclusion: Environmental turbulence (ET) enables SMEs to focus on learning capability to get a more competitive advantage. Moreover, SMEs owner/managers ought to emphasize continuous learning that accentuates the capability to compete with environmental changes. Findings support notifying Pakistan's Small and Medium Enterprise Development Authority (SMEDA) in dealings with Manufacturing SMEs in terms of improving their internal capabilities. This research contributes to the literature as it provides a more detailed and in-depth explanation of distribution management-related issues faced by SMEs. This research carries a significant influence on literature and relevant Resource-based view and contingency theories.

• Asia Pacific Journal of Business Review
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• 제6권2호
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• pp.1-26
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• 2022

This study uses the human resource management (HRM) practice and ability, motivation, and opportunities (AMO) theory and corporate social and environmental responsibility, to explore the effects of environmental responsible human resource management practice (ER-HRM) on energy-intensive manufacturing's green technology innovation and organizational effectiveness. A self-completed questionnaire was administered to managers of energy-intensive manufacturing in the Lao PDR. The data was collected from 198 managers of energy-intensive manufacturing for analysis. We used structural equation modeling (SEM) by smart PLS 3.0 to test the hypotheses in this research. The findings have shown a strong direct and positive impact of the environmental ability, motivation, and opportunity of ER-HRM practice on green technology innovation and organizational effectiveness. The ability of ER-HRM practice has the highest influence on green technology innovation and organizational effectiveness. The findings also prove the partial mediation of green technology innovation links ER-HRM with organizational effectiveness. This research is expected to identify the influences of ER-HRM in energy-intensive manufacturing to achieve innovation and performance while reducing emissions.

• The Journal of Asian Finance, Economics and Business
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• 제9권5호
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• pp.421-429
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• 2022

Entrepreneurship research has focused on several factors that might affect the intention of an individual to start an enterprise. Using principles from social network theory and the entrepreneurial intention model (EI), the current research intends to investigate how social capital is formed on Social Networking Sites (SNS) and how the resulting social capital influences entrepreneurial intention. Using an online survey, 151 valid responses were received from university students. Applying partial least square structural equation modeling, positive and significant relationship was found between the SNS usage and bonding and bridging social capital. Further, it was also found that online-bonding social capital does not impact any of the three antecedents of entrepreneurial intention. On the other hand, online-bridging social capital significantly influences personal attitudes and subjective norms. It was also found that both personal attitude and perceived behavioral control significantly relate to EI, while the subjective norms do not relate significantly to EI. The paper contributes to the literature on technology-based human behavior and entrepreneurship in emerging countries, opening some areas for future research, while also providing some managerial insights. It also should be beneficial to educational institutions in understanding how the use of SNS use by students may be optimized.

• 무역학회지
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• 제46권5호
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• pp.231-248
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• 2021

This study aims to examine an effective path that links the use of export promotion programs(EPPs) to the export performance of SMEs. In particular, the study focuses on what role the export innovativeness of SMEs plays between EPPs and export performance. In order to verify the conceptual model, the structural equation modeling is applied, using the data collected from a sample of 152 Korean SME exporters. The study highlights the notion that the relationship between the use of EPPs and export performance is not direct and that higher performance can be achieved through export innovativeness, the ability to reconstruct internal resources and to respond quickly to changes in the export market. The results of the empirical analysis show that EPPs partially mediate the relationship between export market-orientation and export innovativeness, and that such mediated export innovativeness continues to fully mediate the relationship between EPPs and export performance. That is, if SMEs make good use of EPPs that meet their needs, they can be encouraged to re-bundle or strengthen their existing resources and capabilities, which in turn lead to higher export performance. The study thus helps extend understanding of EPPs and export performance literature.

• 국제초고층학회논문집
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• 제12권3호
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• pp.225-234
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• 2023

Even at this point in the era of digital transformation, we are still facing many problems in the safety sector that cannot prevent the occurrence or spread of human casualties. When you are in an unexpected emergency, it is often difficult to respond only with human physical ability. Human casualties continue to occur at construction sites, manufacturing plants, and multi-use facilities used by many people in everyday life. If you encounter a situation where normal judgment is impossible in the event of an emergency at a life site where there are still many safety blind spots, it is difficult to cope with the existing manual guidance method. New variable guidance technology, which combines artificial intelligence and digital twin, can make it possible to prevent casualties by processing large amounts of data needed to derive appropriate countermeasures in real time beyond identifying what safety accidents occurred in unexpected crisis situations. When a simple control method that divides and monitors several CCTVs is digitally converted and combined with artificial intelligence and 3D digital twin control technology, intelligence augmentation (IA) effect can be achieved that strengthens the safety decision-making ability required in real time. With the enforcement of the Serious Disaster Enterprise Punishment Act, the importance of distributing a smart location guidance system that urgently solves the decision-making delay that occurs in safety accidents at various industrial sites and strengthens the real-time decision-making ability of field workers and managers is highlighted. The smart location guidance system that combines artificial intelligence and digital twin consists of AIoT HW equipment, wireless communication NW equipment, and intelligent SW platform. The intelligent SW platform consists of Builder that supports digital twin modeling, Watch that meets real-time control based on synchronization between real objects and digital twin models, and Simulator that supports the development and verification of various safety management scenarios using intelligent agents. The smart location guidance system provides on-site monitoring using IoT equipment, CCTV-linked intelligent image analysis, intelligent operating procedures that support workflow modeling to immediately reflect the needs of the site, situational location guidance, and digital twin virtual fencing access control technology. This paper examines the limitations of traditional fixed passive guidance methods, analyzes global technology development trends to overcome them, identifies the digital transformation properties required to switch to intelligent variable smart location guidance methods, explains the characteristics and components of AI-based public facility smart fire safety integrated system (ISFS).