• Journal of Venture Innovation
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• v.6 no.3
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• pp.241-263
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• 2023

Recently, the aging of SME managers has emerged as a major issue in business succession. The smooth succession of small and medium-sized enterprises (SMEs), which are the industrial base of Korea, is becoming an important issue for enhancing the vitality of the national economy, such as job creation, beyond mere discussion of inheritance. At this point, this study conducted an empirical analysis on the factors affecting corporate succession intention. As independent variables, corporate Capability consisting of employee competency, marketing competency, and digital competency, human factors such as managers, successors, and third-party stakeholders, and institutional factors such as legislation, taxation, and trust were set. In addition, the effect of adjusting the sales scale was verified. To this end, a survey was conducted targeting representatives who are currently running small and medium-sized enterprises (SMEs). The total number of valid questionnaires was 315. Based on this, an empirical analysis was conducted using the hierarchical regression method. The results of the empirical analysis are as follows. First, marketing competency and digital competency, managerial competency and successor competency, taxation and trust had a significant positive (+) effect on corporate succession intention. However, a significant influence relationship between the third stakeholder, employee competency, and corporate succession intention was not tested. Among the factors that have a significant impact, the size of the influence was in the order of taxation, successor competency, executive competency, trust, marketing competency, and digital competency. Second, the size of sales was found to moderate the relationship between the variables that had a significant effect on corporate succession intention, that is, management competency, successor competency, marketing competency, digital competency, taxation and trust, and corporate succession intention. Based on these research results, academic, practical, and institutional implications for smooth business succession are presented.

• Journal of Venture Innovation
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• v.6 no.2
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• pp.101-121
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• 2023

The purpose of this study was to investigate the impact of issue leadership by sales managers on sales team performance, while examining the mediating role of team adaptive sales behavior and the moderating effect of team-member exchange (TMX). Data was collected from 125 sales teams, and both independent and dependent variables were measured with a time difference of two months using responses from sales managers and team members. The empirical analysis revealed several important findings. Firstly, the study found that issue leadership had a significant positive effect on sales team performance. Secondly, team adaptive sales behavior was found to partially mediate the relationship between issue leadership and sales team performance. Lastly, the study revealed that TMX moderated the relationship between issue leadership and sales team performance. These findings have significant academic and practical implications. Firstly, the study demonstrates the effectiveness of issue leadership as a sales leadership style in the B2C industry. Secondly, it highlights the importance of team adaptive sales behavior as a mechanism that mediates the relationship between issue leadership and sales team performance. Lastly, it underscores the significance of TMX as a situational factor that moderates the relationship between issue leadership and sales team performance. In practice, the results suggest that organizations should focus on developing issue leaders, fostering creative sales behavior at the team level, and activating social exchange within sales teams to enhance sales team performance.

• Korean Journal of Culture and Social Issue
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• v.29 no.4
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• pp.429-453
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• 2023

Due to recent demographic changes, employees from diverse generations now work together in organizations. Thus, there is a need for research on intergenerational cooperation. However, the lack of valid and reliable measures to capture intergenerational climate in the workplace is an obstacle to research. Therefore, we translated the Workplace Intergenerational Climate Scale(WICS) into Korean and validated it with a sample of 1,052 Korean full-time employees. Firstly, we conducted an exploratory factor analysis by using sample 1(N = 460) and revealed a five-factor solution. Secondly, the confirmatory factor analysis(sample 2; N = 592) showed a good model fit of the correlated five-factor model. Thirdly, the scale's discriminant and convergent validity was supported by negative correlations with four types of existing ageism scales and by positive correlations with trust, organizational commitment, work engagement, psychological safety, intention to remain, job satisfaction, and communication satisfaction. Moreover, it further demonstrated significant incremental validity in predicting positive outcome variables even when controlling for pre-existing agism scales. Lastly, we confirmed strict measurement invariance of the scale between the age groups(below 40 versus above 40). The findings support the reliability and validity of the Korean version of WICS among Korean employees. The scale will be broadly applied to measure intergenerational climate of organizations and provide practical implications for HR management.

• Journal of Industrial Convergence
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• v.21 no.9
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• pp.77-87
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• 2023

The purpose of this study was to examine the effect of social relations satisfaction of low-income middle-aged and elderly single-person households on individual subjective happiness and to verify the mediating effect of depression and gender control to provide basic data for the development of related policies and programs. The SPSS WIN 25.0 program used frequency analysis, technical statistics analysis, correlation analysis, and PROCESS MACRO Model Number 4 to verify the mediating effect of 482 middle-aged singleperson households extracted using the "17th Korea Welfare Panel in 2022" survey data. In addition, the control effect was verified using PROCESS MACRO Model Number 1. The results of the study first showed that social relationship satisfaction after controlling demographic characteristics had a positive effect on subjective happiness. Second, it was found that depression had a partial mediating effect in the relationship between social relationship satisfaction and subjective happiness. Third, it was found that the higher the satisfaction level of social relationships among women than men, the greater the sense of happiness. Through this study, it is meaningful in that it identified the meaning of social relationships of middle-aged and elderly single-person households and presented practical implications so that they can be used as basic data for policy support measures.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.6
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• pp.127-140
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• 2022

The present study assumes that active and voluntary actions of organizational members in domestic enterprises can improve organizational performance as they have to seek differentiated strategies and changes in the midst of infinite competition. Considering the nature of psychological empowerment and proactive behavior, the study conducted a survey on members of companies with 100 or more workers of a certain size and used 300 samples for the study. Accordingly, this study attempted to investigate the relationship between personal factors influencing overall organizational competitiveness, i. e. job engagement, proactive behavior and psychological empowerment. Also, the mediating effects of job engagement on the relationship between psychological empowerment and proactive behavior were also examined here. The analysis established the relationship between psychological empowerment, job engagement and proactive behavior. Also, psychological empowerment was found to exert positive influence on job engagement and proactive behavior to a significant extent. Likewise, job engagement proved to have positive influence on proactive behavior to a significant degree. In addition, the mediating effects of job engagement on the relationship between psychological empowerment and proactive behavior were confirmed. Based on these findings, this study suggested relevant theoretical rationales and practical implications.

• Information Systems Review
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• v.23 no.3
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• pp.201-223
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• 2021

Smart home is an advanced Internet of Things (IoT) service that enhances the convenience of human daily life and improves the quality of life at home. Recently, with the emergence of smart home products and services to which artificial intelligence (AI) technology is applied, interest in smart home is increasing. To gain a competitive edge in the smart home market, companies are providing "personalized service" to users, which is a key service that can promote smart home use. This study investigates the factors affecting the value awareness of personalized service and intention to use smart home. This research focuses on four-dimensional motivated innovativeness (cognitive, functional, hedonic, and social innovativeness) and privacy risk awareness as key factors that influence the value awareness of personalized service of smart home. In particular, this study conducts a comparative analysis between the generation MZ (young people in late teens to 30s), who are showing socially differentiated characteristics, and the generation X and baby boomers in 40s to 50s or older. Based on the analysis results, this study derives the distinctive characteristics of generation MZ that are different from the older generation, and provides academic and practical implications for expanding the use of smart home services.

• Information Systems Review
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• v.23 no.3
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• pp.25-50
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• 2021

Though there have been a lot of studies about online product review, the effects of highlighted reviewhave not been examined enough. Highlighted review is a type of review that the platform designer changes its size or position in order to highlight without any sponsorship or incentive. The main subject of this study is about how highlighted review type affects consumer's perception and behavior in online information acquisition. We collected data from 171 subjects to test hypotheses. Using three different types of screen captures, we compared three groups - general review group, positive highlighted review only group, and both positive and negative highlighted review group. As a result, disclosing both of positiveand negative highlighted review was perceived more useful than disclosing only positive highlighted review. However, correlation between highlighted review type and review skepticism was not statistically significant. The impacts of review usefulness and skepticism on platform credibility were statistically significant, and the correlation between platform credibility and usage intention was also significant. All of results is almost similar across two product types, search goods and experiential goods. This research provides practical implications to online shopping platform designers when they design review systems to make people use their platforms.

• The Transactions of the Korea Information Processing Society
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• v.13 no.4
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• pp.199-207
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• 2024

Local reservoirs are crucial sources for agricultural water supply, necessitating stable water level management to prepare for extreme climate conditions such as droughts. Water level prediction is significantly influenced by local climate characteristics, such as localized rainfall, as well as seasonal factors including cropping times, making it essential to understand the correlation between input and output data as much as selecting an appropriate prediction model. In this study, extensive multivariate data from over 400 reservoirs in Jeollabuk-do from 1991 to 2022 was utilized to train and validate a water level prediction model that comprehensively reflects the complex hydrological and climatological environmental factors of each reservoir, and to analyze the impact of each input feature on the prediction performance of water levels. Instead of focusing on improvements in water level performance through neural network structures, the study adopts a basic Feedforward Neural Network composed of fully connected layers, batch normalization, dropout, and activation functions, focusing on the correlation between multivariate input data and prediction performance. Additionally, most existing studies only present short-term prediction performance on a daily basis, which is not suitable for practical environments that require medium to long-term predictions, such as 10 days or a month. Therefore, this study measured the water level prediction performance up to one month ahead through a recursive method that uses daily prediction values as the next input. The experiment identified performance changes according to the prediction period and analyzed the impact of each input feature on the overall performance based on an Ablation study.

• KIPS Transactions on Software and Data Engineering
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• v.13 no.1
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• pp.1-16
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• 2024

Over recent years, 6 Sigma has become a key methodology in manufacturing for quality improvement and cost reduction. However, challenges have arisen due to the difficulty in analyzing large-scale data generated by smart factories and its traditional, formal application. To address these limitations, a big data-based 6 Sigma approach has been developed, integrating the strengths of 6 Sigma and big data analysis, including statistical verification, mathematical optimization, interpretability, and machine learning. Despite its potential, the practical impact of this big data-based 6 Sigma on manufacturing processes and management performance has not been adequately verified, leading to its limited reliability and underutilization in practice. This study investigates the efficiency impact of DX SS, a big data-based 6 Sigma, on manufacturing processes, and identifies key success policies for its effective introduction and implementation in enterprises. The study highlights the importance of involving all executives and employees and researching key success policies, as demonstrated by cases where methodology implementation failed due to incorrect policies. This research aims to assist manufacturing companies in achieving successful outcomes by actively adopting and utilizing the methodologies presented.

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.123-136
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• 2024

The U.S. Department of Defense, leading global cybersecurity policies, has two main cybersecurity frameworks: the Cybersecurity Maturity Model Certification (CMMC) for external defense industry certification, and the Risk Management Framework (RMF) for internal organizational security assessments. For Republic of Korea military, starting from 2026, the Korean version of RMF (K-RMF) will be fully implemented. Domestic defense industry companies participating in projects commissioned by the U.S. Department of Defense must obtain CMMC certification by October 2025. In this paper, a new standard compliance meta-model (R3C) development methodology that can simultaneously support CMMC and RMF security audit readiness tasks is introduced, along with the implementation results of a compliance solution based on the R3C meta-model. This research is based on practical experience with the U.S. Department of Defense's cybersecurity regulations gained during the joint project by the South Korean and U.S. defense ministries' joint chiefs of staff since 2022. The developed compliance solution functions are being utilized in joint South Korean-U.S. military exercises. The compliance solution developed through this research is expected to be available for sale in the private sector and is anticipated to be highly valuable for domestic defense industry companies that need immediate CMMC certification.