• Journal of Digital Convergence
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• v.18 no.12
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• pp.183-193
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• 2020

This study attempts to interpret the causes of offshoring and reshoring, find out facilitating factors and the areas where these happen mainly. In viewpoint of self-organization phenomena, the theory of prospect, quantitative analysis is performed by utilizing actual data of American Reshoring Association. This study shows that offshoring to the U.S. is positively correlated with market power in the U.S. and innovation of investment countries, while reshoring to U.S. is positively correlated with market power in the U.S. not with technology innovation. The reshoring of U.S. companies is influencing offshoring to U.S, emerging countries such as Asia tends to focus offshoring in short catch up cycle area like IT. This study is expected to contribute to investment support policy and decision for optimal production site. Further study will complete the economic benefit assessment model by reinforcing the impact factors of reshoring and offshoring.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.241-265
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• 2023

A corporate insolvency prediction model serves as a vital tool for objectively monitoring the financial condition of companies. It enables timely warnings, facilitates responsive actions, and supports the formulation of effective management strategies to mitigate bankruptcy risks and enhance performance. Investors and financial institutions utilize default prediction models to minimize financial losses. As the interest in utilizing artificial intelligence (AI) technology for corporate insolvency prediction grows, extensive research has been conducted in this domain. However, there is an increasing demand for explainable AI models in corporate insolvency prediction, emphasizing interpretability and reliability. The SHAP (SHapley Additive exPlanations) technique has gained significant popularity and has demonstrated strong performance in various applications. Nonetheless, it has limitations such as computational cost, processing time, and scalability concerns based on the number of variables. This study introduces a novel approach to variable selection that reduces the number of variables by averaging SHAP values from bootstrapped data subsets instead of using the entire dataset. This technique aims to improve computational efficiency while maintaining excellent predictive performance. To obtain classification results, we aim to train random forest, XGBoost, and C5.0 models using carefully selected variables with high interpretability. The classification accuracy of the ensemble model, generated through soft voting as the goal of high-performance model design, is compared with the individual models. The study leverages data from 1,698 Korean light industrial companies and employs bootstrapping to create distinct data groups. Logistic Regression is employed to calculate SHAP values for each data group, and their averages are computed to derive the final SHAP values. The proposed model enhances interpretability and aims to achieve superior predictive performance.

• Journal of Venture Innovation
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• v.6 no.3
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• pp.73-93
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• 2023

This study provides a prospect for the fast growing the smartwatch market by investigating the relationship between the satisfaction and the continuous use intention of Apple watch users, as well as the factors influencing their satisfaction. Based on the TAM, this study uses system quality, information quality, and self-efficacy as independent variables, perceived usefulness, perceived ease of use, and satisfaction as mediators, and continuous use intention as the dependent variable. We analyze the data of 256 individuals who completed an online survey with SPSS 26.0 and AMOS 26.0 software. This study conducts several tests and analyses to empirically evaluate the data including reliability analysis, factor analysis, feasibility analysis, path analysis, hypothesis verification, and mediation analysis. Our results investigate which factors may influence consumers' intention to continuously using Apple Watch devices in the future. In summary, satisfaction has a positive effect on the intention to continuously use smartwatchs. Perceived usefulness and perceived ease of use have a positive effect on satisfaction. Among the three factors (system quality, information quality, and self-efficacy), only self-efficacy has no significant impact on perceived usefulness but had a positive effect on perceived ease of use. In addition, system quality and information quality positively affect perceived usefulness, perceived ease of use, satisfaction, and continuous intention to use an Apple Watch. Taking the Apple Watch as the subject of our research topic, this study provides theoretical value by exploring the impact of user's satisfaction with their smartwatch on their continuous usage intention. This study further explains the influence of system quality, information quality, and self-efficacy on user satisfaction. Additionally, this research offers valuable insight to practitioners by confirming that information quality, system quality, and self-efficacy are important features for enhancing satisfactory user experiences which in turn may increase users' intention to continued using smartwatches.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.4
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• pp.45-55
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• 2022

Accelerator is a private investment institution that provides startups with comprehensive solutions to solve various difficulties such as startup facilities, funds, commercialization, securing a market etc. In addition to the role of an investor as a new startup support model, accelerators have contributed much to improvement of business ability of startups through intensive mentoring. Considering that previous studies gave weight to the determinants of investment from the perspective of investors, this study made a comparative analysis on the relative importance of determinants of investment in startups among accelerators, investors and entrepreneurs through the method of AHP. Results show that accelerators and investors regard "managerial characteristics" of startups as of the highest importance, whereas entrepreneurs think that "market characteristics" of startups are the most important. The result stems from an empirical judgment from the perspective of investors that success of startups depends on the ability of entrepreneur, and it is considered that investors evaluated marketability of startups as the most important factor in consideration of investment payback period. The result is similar to the result of previous studies on the determinants of investment determinants of angel investors and venture capitals. This paper is expected to make a contribution to the advancement of investment decision-making model for accelerators to discover startups with high possibility to grow and achieve more in incubation and investment.

• Information Systems Review
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• v.26 no.1
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• pp.73-91
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• 2024

Recently, e-learning platforms are rapidly growing by innovating the education industry by applying various IT technologies. Because student participation in the online environment is considered a prerequisite for learning, low participation rates are considered one of the most important issues determining the performance of e-learning platforms. Gamification has grown rapidly over the past decades and is highly valued for its applicability in education because it is expected to enhance learning motivation. However, despite the interest of researchers, previous studies have reported conflicting results on the effect of gamification on participation rates in the context of e-learning platforms, and have mainly studied structural gamification, but have not sufficiently addressed the effects of content gamification. In this context, this study aims to analyze the effect of content gamification on e-learning platform engagement and to explore the boundary conditions moderating this effect. For empirical analysis, 5,017 data registered from February 11, 2022 to May 31, 2022 were analyzed for the education platform entry (https://playentry.org). The propensity score matching method and Poisson multilevel regression model were applied as analysis methods. As a result of the analysis, content gamification had a statistically significant effect on engagement, and the interaction effects of interaction and content difficulty were statistically significant.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.3
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• pp.191-209
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• 2023

Amid rapid changes in technological innovation due to the influence of the 4th Industrial Revolution and COVID-19, research related to absorption capacity and patent activities to promote technological innovation of Korean technology start-ups is important in this uncertain environment. This study aims to examine the effects on entrepreneurial performance and patent activities by reconstructing absorptive capacity, an organizational capability, for technology-based startups in fields such as BT and ICT with less than seven years of establishment, distinguishing between potential absorptive capacity and realized absorptive capacity. The study also seeks to develop a theoretical research model. To accomplish this, data was collected from managerial executives, including CEOs of 215 technology startups. The following hypotheses were tested: Firstly, potential absorptive capacity had a significant impact on patent activities, while realized absorptive capacity did not. Secondly, potential absorptive capacity had a significant impact on technological performance, while realized absorptive capacity did not. Thirdly, both potential and realized absorptive capacity had a significant impact on financial and non-financial performance. Fourthly, patent activities indirectly influenced potential absorptive capacity and technological performance, but did not affect realized absorptive capacity. Fifthly, patent activities indirectly influenced potential absorptive capacity and financial performance, but did not affect realized absorptive capacity. Lastly, patent activities indirectly influenced potential absorptive capacity and non-financial performance, but did not affect realized absorptive capacity. The practical significance of this study lies in providing useful guidelines for building the core capabilities of organizations through absorptive capacity and patent activities. Furthermore, it is expected that startups that have not recognized the formation process of absorptive capacity for patent activities will perceive the formation mechanism of absorptive capability anew and show considerable interest in future potential and realized absorptive capacity as part of their management strategies. This is anticipated to play an important role in adapting to rapidly changing technological advancements, the startup ecosystem, and securing sustainable competitive advantages.

• Journal of Technology Innovation
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• v.28 no.2
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• pp.63-100
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• 2020

This study analyzes the effectiveness of government supported R&D program for SMEs by measuring TFP improvements. We estimate TFP for Korean companies from 2011 to 2018 using Levinsohn and Petrin (2003) method which reduces endogenous problem. Then government R&D beneficiary companies were extracted from the NTIS and linked to TFP estimates. The empirical results are as follows. First, as a result of estimating production function, the contribution of TFP to value-added is more important than in the past. Second, the TFP gap between large firms and SMEs continues to wide and there is no sign of easing.(from 3.72 times in 2011 to 5.23 times in 2018). Third, SMEs beneficiaries show higher TFP level than non-beneficiaries. However their TFP was on the decline until government support. After government supported R&D program, it reverses upward. Fourth, although one-year TFP improvement of beneficiaries is bigger than non-beneficiaries, it is smaller than the control group through PSME. Because SMEs participating in government R&D programs had showed downward trend of TFP until R&D program, it is necessary to examine whether there is a fundamental discordance between the demand of SMEs for R&D program and governments policy goal. More sophisticated program design will be required to escape the recognition that government R&D programs for SMEs are just charity.

• Information Systems Review
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• v.18 no.1
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• pp.105-124
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• 2016

This study conducts an empirical analysis to show the effect of social influence and cloud service system quality on the continuous use of cloud service. In particular, this study focuses on the control effects of collectivism in South Korea and China. The research model is designed based on the technology acceptance model and SERVQUAL service quality model of PZB. The factors that influence the cloud service customers in China and South Korea are also analyzed. This study has several practical implications for consideration by South Korean cloud service vendors who plan to enter the cloud service industry in China.

• International Area Studies Review
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• v.15 no.2
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• pp.199-223
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• 2011

This research would research about discount store's service quality of Korean and Chinese consumers' recognition and importance of commitment dimensions. Also, research about differences between word of mouth intention and relationship retention intention. Results of hypothesis are as follow. First, for service quality dimension that has effect on normative commitment, service quality dimension has positive effect over normative commitment especially in tangibility, reliability and responsiveness. Second, for service quality dimension that has effect on affective commitment, among dimensions, except tangibility, reliability, responsiveness, assurance and empathy have positive effect over affective commitment. Third, for service quality dimension that has effect on continuous commitment, among dimensions, tangibility and reliability have positive effect over continuous commitment. Fourth, for relationship between dimensions of commitment, affective commitment has positive effect over normative commitment while continuous commitment has positive effect over affective commitment. Fifth, dimensions of commitment has effect over relationship performance variables that are relationship retention intention and word of mouth intention.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.25-34
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• 2018

With the higher competition of university environment, universities has been adapted Customer Satisfaction Index (CSI). However, the problem of CSI focuses on score and ranking announcement. In public sectors, PCSI model is used because of increasing its strategic utilization by providing diagnosis of the phenomenon and direction for future improvement through causal model analysis. The purpose of this research is to develop a measurements of university satisfaction using PCSI. This research demonstrates validity and reliability of PCSI using test-retest method using multi-group confirmatory factor analysis. The results of this research indicate that the reliability and validity of the PCSI model is verified. Service product quality, service delivery quality, environment quality and social quality have positive effects on customer satisfaction. In turn, customer satisfaction have positve effects on university performance and social performance. In conclusion, service quality, PCSI, and service performance are clarified to be appropriate components of the satisfaction survey. These results can be used to measure the satisfaction level of education at actual universities. It is expected that practical basic data can be obtained to improve the quality of university education.