• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.374-377
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• 2015

O2O(Online-to-offline) service is the new commerce system form that mixed information search and payment of products and services from online and receipt of goods from offline. O2O commerce combine advantage of existing electronic commerce and redeem the critical point of each commerce circulation method, but earnings model is still lacking compared to development speed of O2O technology. Therefore this study drew common factor applied to O2O service to search success factor of O2O commerce on the point of view as a customer Centered by existing B2C electronic commerce, Mobile commerce, and service quality model of offline commerce included O2O commerce method. Further we suggest O2O success factor model combined new O2O success factor additionally reflecting qualitative research result based on drew O2O success service Quality factor.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.680-691
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• 2022

Virtual farm is a kind of virtual reality for education and training, which realizes a change in attitude toward farming and aims for economic performance through revisiting the virtual farm. With the recent introduction of P2E-type virtual reality, a way to connect virtual farming experiences with practical benefits is being considered. However, few studies have been conducted on the factors that influence the success of virtual farms. Hence, the purpose of this study is to examine whether the quality of virtual farm contents and system quality affect user satisfaction with virtual farm experience based on the DeLone & McLean's IS Success Model. In addition, we will examine whether satisfaction with the virtual farm significantly contributes to the change in attitude toward farming. In addition, we demonstrate whether digital incentives contribute to the activation of P2E-type virtual farms.

• Health Policy and Management
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• v.10 no.2
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• pp.78-102
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• 2000

Factors influencing the success or failure of information systems9IS) have been discussed in many literes. However, little thertical development or empirical research has examined effectiveness of information systems in health center. This study evaluates several model that contribute to IS success in bealth center. In this study, we propose a process model that exhibits several variables influence one after another. These can be classified into six different dimensions. These inclube system aspect, invidual effect. The system aspect is classified by system quality, information quality and service quality. On individual and organizational aspect, this study uses computer self-efficacy and support of top management. The results of this study are as follows: according to multiple regression analysis of user satisfaction, information quality and support of top management are statistically significant influence on user satisfaction. System quality and service quality are a partially significant influence on user satisfaction. Hypothesis 5, proposing that computer self-efficacy would relate positively to user satisfaction, ws not supported by the questionnaire results. Based on these results, information quality and support of top management are very important variables for IS success.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.3
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• pp.586-592
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• 2006

Mobile Services are that function of information system are served in mobile environment. So, Success model for the mobile services might be derived through mixing success model of information system with mobile attributes. There are many kinds of mobile services. Specially, commerce, communication entertainment and information services are representative types in mobile services. In this paper, we do not only derive important factors that influence success of mobile services, but also analyze how the factors influence the success of mobile services. We also analyze whether measures of the factors might differ significantly among the types of mobile services.

• Journal of Construction Engineering and Project Management
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• v.1 no.1
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• pp.25-30
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• 2011

With a focus on different aspects of PMIS in construction projects, various sets of critical success factors (CSFs) have been suggested in the literature such as IS Success Model by various researchers. It is crucial to explore the relative importance and groupings of these factors. This paper aims to identify CSFs associated with Project Management Information System (PMIS) in construction projects, and explore their ranking and underlying relationship. CSFs for PMIS identified through a literature review, and consolidated by interviews and pilot studies with professionals in construction industry. A questionnaire instrument was sent out to experienced users (Construction Manager and Constructor) in Korea, and 253 completed questionnaires were retrieved. To increase the generalizability of the results, the respondents were spread across construction site. Using factor analysis and considering the high importance of the factor, CSFs were grouped into three dimensions. All these three groupings and their relationship were included in a framework for successful PMIS in construction projects. These findings help to clarify what the high prioritized factors are, and could also be used as an assessment tool to evaluate the performance of PMIS and thus help to identify areas for improvement.

• The Journal of Information Technology
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• v.8 no.3
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• pp.83-103
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• 2005

The IT implementation literature suggests that various implementation factors play critical roles in the success of an information system; however, there is little empirical research about the implementation of data warehousing has unique characteristics that may impact the importance of factors that apply to it. in this study, a cross-sectional survey investigated a model of data warehousing success. Data warehousing managers and data suppliers from 51 organizations completed paired mail questionnaires on implementation factors and the success of the warehouse. The results from a regression analysis of the data identified relationships between the system quality and data quality factors and perceived net benefits. It was found that management support and resources help to address organizational issues that arise during warehouse implementations, resources, user participation, and highly-skilled project team members increase the likelihood that warehousing projects will finish on-time, on-budget, with the right functionality; and diverse, unstandardized source systems and poor development technology will increase the technical issues that project teams must overcome. The implementation's success with organizational and project issues, in turn, influence the system quality of the data warehouse; however, data quality is best explained by factors not included in the research model.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.217-229
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• 2019

The purpose of the research is to verify how task characteristics for business and technology characteristics, economic feasibility, technology readiness, organizational factors, environmental factors of cloud computing affect the performance of cloud computing adoption through Fit and Viability. The research aims to verify the relationship among the success factors for adopting cloud computing based on the Fit-Viability model. Respondents who work for IT companies which is using cloud computing in South Korea were chosen. The data was analyzed by the structural equating model. As a result, Task characteristics and Technology characteristics affected Fit in a positive manner, while Technology readiness, Organizational factors and Environmental factors also positively impacted Viability. Fit and Viability both affected the successful adoption of cloud equally. In particular, Environmental factors were proven to have the biggest impacts on Viability, and affected highly indirect impact on the Performance of cloud computing adoption through Viability. Entering the era of the fourth industrial revolution, corporations have established digital transformation strategies to secure a competitive edge while growing continuously, and are also carrying out various digital transformation initiatives. For the success of adoption of foundational technologies, they need to understand not only the decision-making factors of adopting cloud computing, but also the success factors of adopting cloud computing.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.498-503
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• 2011

With a focus on different aspects of PMIS in construction projects, various sets of critical success factors (CSFs) have been suggested in the literature such as IS Success Model by various researchers. It is crucial to explore the relative importance and groupings of these factors. This paper aims to identify CSFs associated with Project Management Information System (PMIS) in construction projects, and explore their ranking and underlying relationship. CSFs for PMIS identified through a literature review, and consolidated by interviews and pilot studies with professionals in construction industry. A questionnaire instrument was sent out to experienced users (Construction Manager and Constructor) in Korea, and 253 completed questionnaires were retrieved. To increase the generalizability of the results, the respondents were spread across construction site. Using factor analysis and considering the high importance of the factor, CSFs were grouped into three dimensions. All these three groupings and their relationship were included in a framework for successful PMIS in construction projects. These findings help to clarify what the high prioritized factors are, and could also be used as an assessment tool to evaluate the performance of PMIS and thus help to identify areas for improvement.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.1
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• pp.85-106
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• 2023

This study reviewed and derived the success factors of overseas agricultural startups and studied their integrated research model. Agricultural startups and general startups have in common that poor resources and infrastructure exist from a resource-based perspective after startup, but a differentiated approach from general startups is required due to the nature of the primary industry of agriculture. In this study, we approach the company internal factors (human resources/vision/distribution network capacity/capital capacity/cultivated crops/physical resources/farming technology, etc.) and external factors (agricultural infrastructure/laws/regulations/relationship with surrounding society, etc.) We tried to build a research model that can be integrated by focusing on various existing research models, success factors, and entrepreneurship. Through this, it is intended to present an integrated model that is practically helpful to business performance to entrepreneurs, business-related persons, and researchers who need an integrated understanding of agricultural startups at home and abroad. made for purpose In this paper, a standard model was established through three types (existing agricultural startup, small and medium-sized business startup, multinational company, and comprehensive approach) according to size and characteristics for modeling agricultural startup success factors. Through this, a total of 9 success factors (agricultural management, external environment, manager/founder characteristics, corporate identity, business management, organizational culture, infrastructure, commercialization capability, and sustainable growth) were derived. The implication of this study is that the success factors of agricultural startups were comprehensively presented based on 'entrepreneurship' for various domestic and foreign agricultural startup cases. By confirming the systematic categorization, a standard model for future agricultural startup success factors was presented, and as a result, a foundation was presented for systematic research and practical effectiveness of related research in the future.

• Korean Journal of Construction Engineering and Management
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• v.4 no.3 s.15
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• pp.119-127
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• 2003

Among project delivery methods, Design-Build method is becoming an increasingly preferable alternative to traditional contracting method. The Design-Build delivery method was first introduced in Korea, 1975. But it still has been producing many problems. The previous researches had been suggested several ways to improve the Design-Build project delivery but it seemed to have had no effect whatsoever. This research proposes the success model for Design-Build delivery method through the 4 steps. First, find the proper modeling method. Second, establish the As-Is model for analyzing the circumstances of Design-Build method. Third, to begin with analyzing the As-Is Design-Build model and previous researches, establish the problem model. Finally, find success factors and circumstances through the overseas Design-Build system, and then establish the success Design-Build model.