• Title/Summary/Keyword: economy model

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A Case Study: ICT and the Region-based Sharing Economy of a Start-up Social Enterprise (ICT 기반 지역 공유경제형 사회적 기업 사례 연구)

  • Roh, Taehyup
    • Information Systems Review
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    • v.18 no.1
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    • pp.157-175
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    • 2016
  • Under the market economy of capitalism, several limitations reveal the inequity and redistribution problem of wealth, inefficiency of over-manufacturing and over-consumption, pollution of the natural environment, and the constraint of human liberty and dignity. The new challenge of symbiotic relationships that encourage individual corporations coincides with the need to practice social responsibility and share values to overcome these limitations. Social economy and the social enterprises that simultaneously pursue the making of corporate private profits and the realization of social values have been suggested and disseminated as alternative social value creators. Furthermore, the concept of a sharing economy, which refers to the sharing of things rather than owning them, is growing traction as a new paradigm of capitalism. However, these efforts of social enterprises have fallen short against the conflicts between private profit and social values. This study deals with the case of a start-up social corporation, "Purun Bike Sharing Inc.," which is based on a regional sharing economy business model about bike rental services that use Information and Communication Technology (ICT). This corporation pursues harmonic management to achieve a balance between private profit and social value. Its corporate mission is to achieve sharing, coexistence, and contribution for public welfare. This mission is a possible idea for use in the local community network as a core key for sustainable social enterprises. The model can also be an alternative approach to overcome the structural friction in the social corporation. This study considers the case of Purun Bike Sharing as a sustainable way to practice a sharing economy business model based on a regional cooperation network, which can be combined with social value, and to apply ICT to a sharing economy system. It also examines the definition and current state of social enterprises and the sharing economy, and the cases of the sharing economy business model for the review of prior research.

US Purchasing Managers' Index and its Impact on Korea and US

  • Jeon, Ji-Hong
    • Journal of Distribution Science
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    • v.15 no.3
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    • pp.17-25
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    • 2017
  • Purpose - The study is to examine the impact of the US Purchasing Managers' Index (PMI) on Korea and the US industrial economy including the distribution industry. We analyze its effect on the industrial economy centered on the distribution industry using economy indices in Korea and the US. Research design, data, and methodology - The variables are used to analyze the dynamic relationship which occurs among the US PMI, the industrial production index, producer price index, unemployment rate, and manufacturing Inventories Index in Korea and the US from January 1990 to July 2016 using Vector Error Correction Model. Results - As a main result, the impact of the US PMI on all the economy indices both Korea and the US has the same cyclical movement. The US PMI is positively related to the producer price and the industrial production index of Korea and the US, while it is negatively related to unemployment rate, and the manufacturing inventories index in Korea and the US. Conclusions - The US PMI as an advanced index has a power to predict the economies on Korea and the US. In the end, we find that the US PMI has a great impact on Korea and the US industrial economy.

A Study on Efficiency of Community Problem-solving Type R&D and Influencing Factors (지역사회 문제해결형 R&D 효율성 및 영향요인에 관한 연구)

  • Min, Hyun-Ku
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.17 no.4
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    • pp.161-175
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    • 2021
  • This study analyzed the efficiency and influence factors according to the main research institute type of R&D Program for the local community problem-solving. This study applied data envelopment analysis (DEA) method and Tobit regression analysis by using 20 institutions that participated in R&D Program. The results are summarized as follows. First, Analysis results according to the research institute type of R&D project, Efficient DMUs showed more regional innovation institutions than social economy enterprises. But regional innovation institutions were the lowest in the CCR and BCC model. However, efficiency dose not differ between regional innovation institutions and social economy enterprises. Second, as a result of the analysis relation between efficiency and allocation characteristics of R&D input, the participation of regional innovation organizations as participating organizations has a negative effect on efficiency. It was found that the higher the proportion of government subsidies and the higher the employment rate of the vulnerable, which is a social achievement, the positive effect on efficiency. The implication of this study is that the participation of social economy enterprises as the main R&D institution and government R&D support can provide social economy enterprises with opportunities to accumulate R&D capabilities and experience successful commercialization.

Understanding the Sentiment on Gig Economy: Good or Bad?

  • NORAZMI, Fatin Aimi Naemah;MAZLAN, Nur Syazwani;SAID, Rusmawati;OK RAHMAT, Rahmita Wirza
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.10
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    • pp.189-200
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    • 2022
  • The gig economy offers many advantages, such as flexibility, variety, independence, and lower cost. However, there are also safety concerns, lack of regulations, uncertainty, and unsatisfactory services, causing people to voice their opinion on social media. This paper aims to explore the sentiments of consumers concerning gig economy services (Grab, Foodpanda and Airbnb) through the analysis of social media. First, Vader Lexicon was used to classify the comments into positive, negative, and neutral sentiments. Then, the comments were further classified into three machine learning algorithms: Support Vector Machine, Light Gradient Boosted Machine, and Logistic Regression. Results suggested that gig economy services in Malaysia received more positive sentiments (52%) than negative sentiments (19%) and neutral sentiments (29%). Based on the three algorithms used in this research, LGBM has been the best model with the highest accuracy of 85%, while SVM has 84% and LR 82%. The results of this study proved the power of text mining and sentiment analysis in extracting business value and providing insight to businesses. Additionally, it aids gig managers and service providers in understanding clients' sentiments about their goods and services and making necessary adjustments to optimize satisfaction.

A Study on Hydrogen Energy Safety according to the Revitalization of the Hydrogen Economy (수소경제 활성화에 따른 수소에너지 안전성 고찰)

  • Park, Woo-Il;Tak, Song-Su;Lee, In-Woo;Hong, Soon-Pa
    • Journal of the Korean Institute of Gas
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    • v.25 no.6
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    • pp.74-79
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    • 2021
  • This study analyzed the current status of the global hydrogen economy and the safety of energy sources currently in use due to the activation of the hydrogen economy. Understanding the hydrogen economy, identifying government policy trends, comparing and analyzing characteristics with existing energy sources such as gasoline, propane, and methane, and evaluating damage impact for each energy source using PHAST, a quantitative damage impact assessment program. Using the analysis results, this study analyzes the safety of hydrogen energy to revitalize the hydrogen economy and suggests ways to improve safety.

Coordinated Development of Agricultural Insurance, Agricultural Loans, and the Agricultural Industry in China

  • LI, Nan;JIA, Hong Da;KIM, Dong Joo
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.7
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    • pp.205-217
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    • 2022
  • The purpose of this study was to explore the relationship between agricultural insurance, agricultural loans, and the agricultural industry and find ways to consolidate and improve the interactive development between these three systems. We collected relevant data from 2009 to 2019 in 15 provinces of China and constructed a coupled coordination model to analyze the data. The results are as follows: First, the eastern part of China was ahead of the central and western parts in terms of agricultural loans and the agricultural industry, while the western part was ahead of the central and eastern parts in terms of agricultural insurance. Second, the coupling degree of the three systems in all 15 provinces reached an extremely high level. Third, all 15 provinces showed an overall continuous rise in coupling coordination degree. In 2019, eight provinces reached the medium-level coupling coordination development, and seven provinces were in a state of barely coupling coordination development. The three systems formed a mutually reinforcing relationship and basically entered a state of coordinated development. Finally, there was a great development gap between different regions of China concerning the coordinated development of the three systems, therefore, innovative development is urgently needed to further promote the coordinated development level.

A Model on an Economy Evaluation of ERP System (ERP 시스템의 경제성 평가모델)

  • Kang Sung-Soo
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.28 no.1
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    • pp.147-157
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    • 2005
  • The purpose of this study is to develope the model of economy analysis and evaluation to justify the effect of economic feasibility for constructing ERP system in the company. Since the results for the evaluation of alternatives are influenced by the nature of capital and the circumstances, it is very difficult to evaluate the alternatives and it takes too much time to apply it in the field on account of many alternatives. This study suggests establishment and application of the model on economic analysis and evaluation regarding the nature of capital by using excel spread sheets.

A Study on the Analysis of Population Dynamics and the Model of population Relocation (人口過程의 分析과 人口配置計劃의 모델模索)

  • 박찬계;함종욱
    • Journal of the Korean Statistical Society
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    • v.10
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    • pp.145-157
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    • 1981
  • Regional relocation of population in Korea is required strongly from natural and environmental sides for substantial growth of economy and the rigorous revival national economy against especially internationalization. This paper aimed for analysed the population distribution by regional and special characteristics of the inter-migration and showed the direction of population policy through the model building. Relocation methods of population by region has been examined through the process from the approach method by Haurin's production function to the approach by the utility function. The examination of the development model is done efficiently, how utility these approach models are depends on that scientific and composite plan for population problems against forced policy should be taken precedence.

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The Impact of E-Commerce Live Streaming on Consumer Purchase Intention under the Background of the Internet Celebrity Economy

  • Ke Lyu;Minghao Huang
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.3
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    • pp.199-216
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    • 2024
  • This research examines the factors influencing consumer purchase intentions in e-commerce live streaming, set against the backdrop of the internet celebrity economy. The investigation serves as a pivotal inquiry into the dynamics of this economy, striving to uncover the extent of internet celebrities' influence, particularly in terms of their economic impact. Employing the Emotional Behavioral Cognitive (ABC) attitude theory and the Stimulus Organism Response (S-O-R) theory as foundational frameworks, this study scrutinizes internet celebrity live streaming sales. It incorporates direct observations and leverages existing scholarly work to devise a tailored measurement scale and questionnaire. From this, a research model and hypotheses are developed, leading to the establishment of an empirical model. This empirical model is instrumental in statistically analyzing how e-commerce live streaming, within the internet celebrity economy context, shapes consumer purchase intentions. By integrating theoretical insights and empirical findings, the research elucidates the strategic dimensions and consumer behavior aspects in digital commerce. It enhances understanding of how internet celebrity influence intersects with consumer purchasing processes. Overall, this study contributes to the academic discourse on digital marketing and consumer behavior, providing a nuanced perspective on the mechanisms through which internet celebrities affect e-commerce. It offers valuable implications for marketers, strategists, and policymakers aiming to navigate the complex landscape of the internet celebrity economy.

The Factors Influencing the Use of Shared Economy-Based Mobility Services

  • KIM, Hyeong-Min
    • Journal of Distribution Science
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    • v.18 no.1
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    • pp.107-121
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    • 2020
  • Purpose: Shared mobility services are the most notable in the shared economy; however, they have yet to be activated in Korea due to various regulations and conflicts amongst stakeholders. Nevertheless, shared mobility has become an irresistible trend of the times, as it can cause a great deal of economic and environmental benefits. In this vein, the purpose of this study is to contribute to the revitalization of shared mobility services in Korea and to provide service providers with implications for developing consumer-oriented marketing strategies. Research design, data and methodology: Based on the reasons that the users do not use shared mobility service, the factors influencing the behaviors of shared mobility users are structured and analyzed in a reliable, technical and procedural manner. To this end, the theory of reasoned action (TRA) of Ajzen and Fisbbein, the initial trust model (ITM), task technology fit (TTF) and switching cost (SC) are adopted. A total of 202 questionnaires were collected from the respondents who were aware of shared mobility. Then statistical processing of the collected data used SmartPLS(v.3.2.8), a PLS-SEM (Partial Least Squares Structural Equation Modeling) analysis program. The steps of the analysis are as follows. First, a PLS-Algorithm analysis was performed to evaluate the measurement model, and a Bootstraping and Blindfolding analysis was performed to evaluate the structural model and verify the hypotheses. Second, a multi-group analysis (PLS-MGA) was conducted to further analyze the differences depending on whether or not users experienced shared mobility service. Results: The results showed that initial trusts model (ITM) and task technology fit (TTF) have positive effects on users' behaviors through the mediation of the intention to use. As opposed to the assumption, switching costs did not have negative moderating effects in relation to the intention to use and users' behaviors. The influence of IT self-efficacy was significant, depending on the prior experience to use shared mobility services. Conclusions: This study will contribute to the revitalization of domestic shared mobility services and the formulation of service providers' marketing strategies. In future studies, there is a need to explore, reconstruct, and validate factors other than the impact factors of the shared mobility services used in this research model.