• Journal of Digital Convergence
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• v.15 no.3
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• pp.119-128
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• 2017

This study analyzed the effects of job characteristics and empowerment on job satisfaction of ERP system users of small/medium manufacturing & service businesses. In the results of analysis, the detailed factors of job characteristics such as efficiency, authority delegation, and complexity were significant influence factors on ERP users' job satisfaction while the factors of empowerment such as task impact, self-determination, and task meaning had positive effects on users' job satisfaction. However, competence did not have positive effects on job satisfaction. The results of this study showed that most of the ERP system users of small/medium businesses were satisfied with their own jobs.

• Management & Information Systems Review
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• v.29 no.4
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• pp.333-357
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• 2010

Purposes of this paper are to investigate whether managers' compensation is sticky as accounting performance(ROA) vary or not and explore further what factors influence the managers' compensation stickiness. To empirically study the stickiness of managers' compensation, we used the financial data from manufacturing firms lised in the Korea Stock Exchange(1,000 firm-year data for 4 years). The results are as follows : First, managers' compensation is sticky with respect to change in accounting performance. That is, the increase in managers' compensation as accounting performance increases is greater than the decrease in managers' compensation in respect to equivalent decrease in accounting performance. Second, the degree of managers' compensation stickiness increases when managers have influence and contribution to firm value. Specifically, the degree of stickiness is positively associated with investment opportunity set, intangible assets' value, uncertainty of firms' operating environment, complexity of organizational hierarchy. But firms' size reversely impacts on the degree of managers' compensation stickiness.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.6 no.3
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• pp.153-164
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• 2007

Nowaday, in Korea, many u-City projects have been developed as a core business in the new town development project by national or local level of government. However, the new business projects have some problems, such as excessive number of u-services, increased project funds and period, and lower u-services due to lack of u-service evaluation methodologies. Therefore, this paper proposes a new u-service evaluation methodology to solve current problems. The methodology gives an ability to guard general u-service groups for reaching the main goal of the u-City project, and then select alternative u-service groups against being limited by the law and technology in the project year. Besides, as a key variable on performing u-City plans, the complexity between stakeholders is considered in the methodology. Finally, through the Optimal Sequential Method in the methodology, the maximum value of u-service group is obtained as a optimal service group of u-City.

• Information Systems Review
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• v.24 no.1
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• pp.125-155
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• 2022

Platform contrasts with traditional industry in terms of innovativeness as it is rapidly developing with information technology. To redeem preceding researches which have separately focused on either platform acceptance based on technology acceptance model or resistance factors against platform's innovation, this study applied dual factor theory to check the simultaneous influence of enablers and inhibitors on resistance. This study chose purchasers of online used trading platform as a subject of study since it contrasts with other platforms in many characteristics. Based on preceding studies, the moderating effects of their past purchase numbers on the relations between resistance and use intention were also checked. The findings reveal that economic benefit as an enabler had significant negative influence on the resistance, but social influence didn't have expected influence. In case of inhibitors, both perceived complexity and perceived risk had significant positive influence on the resistance. Though resistance had significant negative influence on the use intention, its influence was moderated into the positive direction as users' purchase number increased. Lastly, resistance had mediation effect between antecedent factors (economic benefit and perceived complexity) and use intention.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.119-132
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• 2015

This study empirically examined which factors facilitate or disturb the learning and practical knowledge transfer in consulting and which factors have most powerful influence on the learning and transfer of consulting knowledge. Analysing 160 data collected from FTA origin managers in export companies, the study findings show the ambiguity(-), complexity(+), consulting competences(+), intervention design and delivery(+), self-efficacy(+) and government subsidies(+) significantly affected on Client's learning, while consultant's expertise(+), consulting involvement(+), transfer culture(+) significantly affected on consulting knowledge transfer, respectively. It showed that consulting competence and causal ambiguity have an greater influence on learning while consultant's expertise has a greater influence on consulting knowledge transfer, respectively. The findings implicate that consulting success depends on rather consultant's factors(consultant's expertise and consulting competence) than client's input factors. To succeed in consulting project, it is important that the consultants effectively develop and apply consulting methods & tools as shared interfaces between consultant and client.

• The Korean Journal of Applied Statistics
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• v.28 no.6
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• pp.1217-1225
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• 2015

Survey research, data is commonly collected through a sample design with complex design features that allow the relative efficiency on the precision of an estimator to be measured using the concept of the design effect compared to simple random sampling as a reference design. This concept is most useful when the design effect can be expressed as a function of various design features. We propose a design effect formula suitable under a stratified multistage sampling by generalizing Gabler et al. (1999, 2006)'s approaches for multistage sampling. Its use can either guide improvement in the design efficiency when in design stage or enable the evaluation of the adopted design features afterwards.

• Proceedings of the Korean Society for Information Management Conference
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• 2017.08a
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• pp.47-51
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• 2017

본 연구는 오픈액세스 개념을 혁신확산이론의 주요 속성을 바탕으로 분석한 것이다. 데이터는 국내학술지 편집담당자를 대상으로 설문조사를 실시하여 수집하였다. 그 결과 국내에서 오픈액세스는 독자가 논문을 편리하고 신속하게 이용할 수 있도록 하는 상대적인 이점을 가지지만, 오픈액세스를 시행하기 위해 구체적인 정책을 세우는 등의 복잡함이 있으며 논문이 많이 인용되거나 학술지의 영향력지수가 상승할 것이라는 기대에 비해 실제로 오픈액세스의 긍정적인 효과를 체감하고 있지 못한 것으로 나타났다. 따라서 국내에서 오픈액세스 정착을 위해 정책과 저작권 분야의 교육 실시가 필요하며 성공사례 공유를 통해 오픈액세스에 대한 긍정적인 인식이 확산될 수 있도록 노력해야할 것이다.

• The Southeast Asian review
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• v.28 no.2
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• pp.119-145
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• 2018

Celebrating its $50^{th}$ anniversary in 2017, the leaders of ASEAN member sates have adopted a series of declarations and action plans for enhancing its institutional capability and functional cooperation. ASEAN's convening power is expected to underpin its centrality and resilience. Meanwhile, ASEAN's retreat from democracy has increasingly become a hindrance for its further development. This article reviews the process of ASEAN's community building and its external relations. First, it argues that there is increasing concerns over ASEAN's limited capability in dealing with regional issues mainly caused by the deprivation of human rights and the democracy in crisis. Second, this article considers the dynamics of ASEAN's external relations mainly focusing on its relations with China, the United States, and South Korea. The South China Sea issue and China's increasing economic influence in the region have contributed to the complexity of ASEAN-China relations. The ASEAN's responses to the shift in American foreign policy under the Trump administration posits the unity of ASEAN. The New Southern Policy initiated by South Korean President, Moon Jae-in appears to be a new focal point of Korea-ASEAN relations despite considerable challenges, which requires to maintain ASEAN centrality.

• Journal of Software Assessment and Valuation
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• v.15 no.1
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• pp.79-86
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• 2019

Software dimension reduction identifies the commonality of elements and extracts important feature elements. So it reduces complexity by simplify and solves multi-collinearity problems. And it reduces redundancy by performing redundancy and noise detection. In this study, we proposed defect severity-based dimension reduction model. Proposed model is applied defect severity-based NASA dataset. And it is verified the number of dimensions in the column that affect the severity of the defect. Then it is compares and analyzes the dimensions of the data before and after reduction. In this study experiment result, the number of dimensions of PC4's dataset is 2 to 3. It was possible to reduce the dimension.

• Industry Promotion Research
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• v.9 no.3
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• pp.101-117
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• 2024

This study empirically analyzed the factors affecting the intention to utilize manufacturing AI in SM-sized manufacturers by applying the TOE framework. Independent variables that are expected to influence were applied, focusing on TOE factors and managerial characteristics that reflect the characteristics of SME manufacturers. In addition, the mediating effect of technology trust and the moderating effect of factory location were analyzed. The results are as follows. First, the relationship between the independent variables and the dependent variable was tested, and the direct effects of the independent variables(complexity, organizational innovation, IT ability, competitive pressure, partner support, and managerial innovation) on the dependent variable were all statistically significant, except for compatibility. Second, the mediation effect of technology trustness was verified to have a full mediation effect between compatibility and utilization intention, and a partial mediation effect between managerial innovation and utilization intention. Third, among the seven independent variables, the moderating effect of factory location(metropolitan and non-metro) between the three independent variables of IT ability, competitive pressure, and partner support and the utilization intention was found to be significant. To increase the intention to utilize manufacturing AI for SM-sized manufacturers, it is recommended that more diverse and broader studies are needed, not only the factors identified in this study, but also the understanding and awareness of manufacturing AI.