• Journal of Digital Convergence
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• v.11 no.4
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• pp.71-76
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• 2013

We analyzed the introduction factor of ASP-based information system on the order of importance using AHP techniques. We classified the introduction factors from previous studies into three categories : Organizational factors revealed organizational factors to be of highest importance, followed by environmental and Quality factors. The analysis on both primary and secondary hierarchical factors revealed CEO support as the most important, followed by IT capability, provider reliability, and cost-cutting expectation.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.814-825
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• 2009

This paper is to analyze the relative weight and the priority order of the selection factors for IPTV. To obtain the goal this paper, firstly, the selecting factors for IPTV were identified and conceptualized on reviewing previous literatures. And this paper proposed the hierarchy model using the factor analysis on IPTV users. and utilized AHP in analysis method. Secondly, AHP model constructed 4 higher factors, and 15 lower factors. The higher factors were 'Quality Acceptance', 'Social Effect', 'Using Motive' and 'Individual Psychology'. Results of this study show that relative weights among factors IPTV selection were founded as 'Quality Acceptance(33.0%)', 'Utilization Motive(31.8%)', 'Individual Psychology(21.3%)' and 'Social Influence(13.9%)'. Economic efficiency takes the top rank in sub-criteria included 15 factors and than convenience, amount of information, discrimination, self-efficacy, innovation, relative advantage in order listed. For the generalization of the research results, further researchs are needed to investigate intended use of IPTV on other method of analysis.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.5
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• pp.141-162
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• 2017

The International Monetary Fund (IMF) crisis introduced a system for easy layoffs. With recent economic downturn, employees have been asked to retire early and less new jobs have become available. More small businesses as a result have been started. The purpose of this research is to study weight and ranking on SWOT factors of korea food service franchise industry using the SWOT analysis. The Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) were used to analyze the SWOT found by the surveys. First, the SWOT analysis shows that the franchise owners and the expert group view the industry positively overall and there are more strengths, opportunities than weaknesses, threats. While there are negatives and threats to the industry overall, many people think that there are more opportunities and positive aspects. Second, the franchise owners rank proven business model and platform (S3) as the strongest strength of food service franchise businesses while the expert group ranks management supports (S2) from headquarters as the strongest strength. Third, the expert group and franchise owner group indicate that the weight on unfair franchise contracts with headquarters(W3) and high penalty from breaking a franchise agreement(W4) are 60% of weaknesses. Fourth, both the expert group and franchise owner group indicate that change in people's lifestyle, value system and consumption pattern(O3) as the most important opportunity. Fifth, both groups indicate that changes in consumption pattern(T1) due to ever changing food service industry as the biggest threat. It is ranked higher than the entry of korea food service franchises.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.490-499
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• 2015

In this study, for the introduction factors of ERP system suggested in the prior study, I analyzed the importance of each introduction factor by using Delphi methodology and AHP. As a result of analysing the importance of the introduction factors of the 1st layer, the supplier factor was analyzed to be the most important factor among innovation factor, information technology factor, the user factor, the supplier factor, and in the weight analysis on the 2nd layer considering the importance of 1st layer, the standard work model of the supplier factor was a suitable factor, and the CEO participation factor(.086) was analyzed as the second most important introduction factor. These analysis results enable to determine that domestic Small & Medium enterprises' position hope to introduce by selecting a system in which the company characteristics and management strategies are applied well, because they should operate an ERP system that has already been developed, and in this course, the participation of CEO was also found to be a very important factor.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.327-351
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• 2023

This paper aims to derive success factors that successfully lead an artificial intelligence (AI) project and prioritize importance. To this end, we first reviewed prior related studies to select success factors and finally derived 17 factors through expert interviews. Then, we developed a hierarchical model based on the TOE framework. With a hierarchical model, a survey was conducted on experts from AI-using companies and experts from supplier companies that support AI advice and technologies, platforms, and applications and analyzed using AHP methods. As a result of the analysis, organizational and technical factors are more important than environmental factors, but organizational factors are a little more critical. Among the organizational factors, strategic/clear business needs, AI implementation/utilization capabilities, and collaboration/communication between departments were the most important. Among the technical factors, sufficient amount and quality of data for AI learning were derived as the most important factors, followed by IT infrastructure/compatibility. Regarding environmental factors, customer preparation and support for the direct use of AI were essential. Looking at the importance of each 17 individual factors, data availability and quality (0.2245) were the most important, followed by strategy/clear business needs (0.1076) and customer readiness/support (0.0763). These results can guide successful implementation and development for companies considering or implementing AI adoption, service providers supporting AI adoption, and government policymakers seeking to foster the AI industry. In addition, they are expected to contribute to researchers who aim to study AI success models.

• 한국벤처창업학회:학술대회논문집
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• 2022.04a
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• pp.89-97
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• 2022

본 연구에서는 창업 성장단계별 특허분석 요인들의 중요도와 우선순위를 제시하였고, 구체적으로 창업준비기, 창업기, 성장기, 성숙기 창업 성장단계 기준으로 구분하여 가장 먼저 선행되어야 할 특허분석 요인을 AHP기법을 활용하여 분석하였다. 분석결과, 상위요인의 중요도는 창업준비기(.633), 창업기(.231), 성장기/성숙기(0.136) 순으로 나타났다. 상위요인인 창업준비기의 하위요인 중요도는 환경분석(.593), 특허조사(.236), 특허분석(.171) 순으로 분석되었다. 창업기의 하위요인 중요도는 사업화전략(.415), R&D전략(.333), 보완출원전략(.138), 보유특허분석(.114) 순이고, 성장기/성숙기 하위요인 중요도는 후속IP창출(.337), 핵심특허 대응전략(.260), 후속R&D방향제시(.183), 특허인프라구축(.137), 라이센싱(매입)전략(.083) 순으로 나타났다. 전체 복합신뢰도 상위권 중요도 순위로는 1위 환경분석, 2위 특허조사, 3위 특허분석, 4위 사업화전략, 5위 R&D전략, 6위 후속 IP창출 순으로 나타났다. 이러한 연구 결과를 통해 창업을 준비하는 창업자에게 특허와 관련하여 단계별 집중해야 하는 요인의 중요도와 우선순위를 제시하고 더 생산적이고 효율적인 일들에 집중할 수 있는 가이드가 되기를 바란다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2886-2892
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• 2009

This research focuses on searching primary factors in accessing internet shopping sites. In this research we have derived primary factors such as the order factors, the product factors, and the delivery factors by factor analysis approach. We have done AHP analysis on these derived primary factors. The results of AHP analysis show that the most important factor is the product factors and the most important sub factor among the product factors is the after service factor including guaranteed returns and refunds, and product exchangeability. The next important factor is the incentive provision in which discount coupons, mileage accumulation policies are the main sub factors included.

• The Journal of Korean Association of Computer Education
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• v.16 no.2
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• pp.19-27
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• 2013

Internet addiction, one of adverse effects of the informatization, has become a very serious social problem. The purpose of this study is to seek solutions for the adverse effects of the informatization by analyzing the causal factors of internet addiction to maximize prevention of the internet addiction for college students. The three causal factors of the internet addiction: personal factors, familial factors, and social environmental factors are defined as the second confirmatory factors, and the first confirmatory factors for the each second confirmatory factor are reviewed for influential factors of internet addiction. The study concluded that the personal factors are the most influential factors of internet addiction for college students; furthermore, self-control and self-efficacy are key variables of the personal factors. Therefore, it can be effective ways to prevent internet addiction if countermeasures on self-control and self-efficacy of the personal factors are presented.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.6
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• pp.163-174
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• 2016

The object of this study identifies the weights of SWOT factors in hidden champion. And the other purpose of the study is to test the differences of weight between Korea hidden champion group and Germany theirs group. The survey research is employed for the hidden champion CEOs of two countries. This research is employed the AHP(Analytic Hierarchy Process) for the weight of SWOT factors in hidden champion based on an empirical survey done to 61 firms which are to be fostered as Korean type hidden champion and 40 firms which are to be fostered as Germany type hidden champion. And then the t-test assesses whether the weight means of two groups are statistically different from each other. The weights of SWOT factors of hidden champion have been identified. There are the differences of weight between Korea group and Germany group. The order of Korea group's weight is following by the strength (0.3062), the opportunities (0.2344), the threat (0.1804), and the weakness (0.1157). The order of Germany group's weight is following by the strength (0.2603), the opportunities (0.2286), the threat (0.1604), and the weakness (0.1432). The technology capability of strength, the lack of knowledge on overseas market of weakness and the market uncertainty of thereat have statistically differences between two groups. However, the sub-factors of opportunities statistically have no differences.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.9
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• pp.2290-2299
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• 2009

This study aims to analyze the importances of various SCM adoption factors suggested in precedent researches with AHP. SCM adoption factors were categorized by four types: organization factor, transaction factor, relation factor, and information factor. Each factor has sub-factors. Organization factor has five sub-factors: adoption strategy, support of CEO, maturity of information technology, development of assessment system, and innovation leadership. Transaction factor has three sub-factors: transaction period, delivery/quality, and shared goal. Relation factor has five sub-factors: trust, collaboration, inter-dependence, conflict, and immersion. Information factor has three sub-factors: information quality, information share, and information exchange. There are sixteen sub-factors altogether. Analyzing the importances of SCM adoption factors with AHP, the importance of organization factor(.387) ranked the highest. Relation factor(.291), information factor(.167), and transaction factor(.155) followed. Putting the analysis results of primary hierarchy factors and secondary hierarchy factors together, support of CEO(.169) ranked the highest and trust(.124), adoption strateg (.089), share goal(.081), information exchange(.069), collaboration(.064), and information share (.057) followed.