• The Journal of Information Systems
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• v.31 no.3
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• pp.47-65
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• 2022

Purpose With the recent development of Big Data and Artificial Intelligence technology, self-driving technology has developed into three stages (partial self-driving) or four stages (conditional self-driving), it is expected to bring a new paradigm to transportation in the city. Although many researchers are researching related technologies, there is no research on self-driving for disabled persons. In this study, the basic research was conducted based on the assumption that the shared self-driving car used by the disabled person is similar to the special transportation currently driving. Design In this study, data analysis and machine learning techniques were utilized to analyze the mobility patterns of disabled persons by type and to search for leading factors affecting the traffic volume of special transportation. Findings The study found that external physical disorders and developmental disorders often visit general welfare centers, internal organ disorders often visit general hospitals, and the elderly and mental disorders have various destinations. In addition, machine learning analysis showed that the main transportation routes for the disabled person use arterial roads and auxiliary arterial roads and that the ratio of building usage-related variables affecting the use of special transportation for a disabled person is high. In addition, the distance to the subway and bus stops was also mentioned as a meaningful variable. Based on these analysis results, it is expected that the necessary infrastructure for shared self-driving cars for disability person traffic will be used as meaningful research data in the future.

• Journal of Korean Academy of Dental Administration
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• v.11 no.1
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• pp.78-88
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• 2023

This study aimed to analyze the correlation between working from home and sleep disorders among domestic workers using data from the 5th Working Environment Survey in 2017. Out of the total 30,108 wage workers, 818 employees work from home and 4,090 work in an office. A random sample of 1:5 pairs, considering gender and occupational group, was selected from these employees as the study subjects. The analysis included personal characteristics, occupational characteristics, work-from-home arrangements, and sleep disorders. Age, education, employment status, years in the workforce, weekly working hours, work-life balance, self-perceived health, depression, and anxiety were all adjusted as potential confounding variables. Conditional logistic regression analysis was conducted to examine the relationship between working from home (independent variable) and sleep disorder (dependent variable). This analysis aimed to analyze the correlation between working from home and sleep disorder. The analysis revealed that working from home was associated with sleep onset latency disorder OR=3.23 (95% CI=2.67~3.91), sleep maintenance disorder OR=3.67 (95% CI=3.02~4.45), and non-restorative sleep OR=3.01 (95% CI=2.46~3.67), which showed a statistically significant relationship with all three types of sleep disorders. Factors influencing the correlation between working from home and sleep disorders included work-life balance, social isolation, and anxiety.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.174-182
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• 2018

Given the ongoing debate in many aspects of finance, more attention may need to focus on corporate R&D expenditures. This study empirically tests financial determinants of R&D expenditures for NYSE-listed and KOSPI-listed firms. Three major hypotheses were postulated to test for corporate R&D outlay. First, proposed variables such as one-year lagged R&D expenditures, market value based leverage, profitability and cash holdings showed significant influence on corporate R&D costs for the sample firms. Moreover, financial factors inclusive of squared one-year lagged R&D expenditures, the interaction effect between one-lagged R&D expenditures and high-growth firm, non-debt tax shield, Tobin's q and a dummy variable to explain differences in accounting treatment between the U.S. and Korea, revealed significant differences between the two samples. Finally, in the conditional quantile regression (CQR) analysis for the R&D-related variables in relation to corporate growth rate, it was found that the NYSE-listed firms had a statistically significant linkage between growth potential and one-year lagged R&D expenditures at lower quantile levels. This study may shed new light on identifying financial factors affecting differences between the U.S. market (as an advanced market) and the Korean market (as an emerging market) regarding the optimal level of R&D investments for shareholders.

• Journal of Distribution Science
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• v.10 no.12
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• pp.35-43
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• 2012

Purpose - This study analyzes the effects of types of leadership on the employees of Italian restaurants, its efficacy, and organizational citizenship behavior, utilizing a causal assessment model. In this study, independent variables such as the type of leadership perceived in the manager or chef by an Italian restaurant's employees, and its efficacy were parameters, and the organizational citizenship behavior and organizational effectiveness were the variables representing the results in the hypothesis. The study aimed to draw implications by verifying the leadership via efficacy and the impact on organizational citizenship behavior of Italian restaurants. Research design, data, methodology - For the purpose of this analysis, specific questionnaire items were configured according to the theory and efficacy of the study. From a questionnaire used in organizational citizenship behavior comprising 22 questions, six were modified to suit the research purpose of this study. The configured questionnaire comprised 5 parts and 40 items. A Likert (Likert) 5-point scale was utilized to measure responses to the questionnaire items from the employees of an Italian restaurant in Seoul who participated in the survey. For data collection, 400 questionnaires were distributed, and 344 collected. Factor analysis and reliability verification were conducted using SPSS18.0 and AMOS18.0. A covariance structure analysis was conducted to test the research hypotheses. Results - Based on the results of the analyses, the summary and suggested implications of the research are as follows: The covariance structure analysis used to analyze the kind of effect transformational and transactional leadership styles in Italian restaurant employees had on self-efficacy, group-efficacy, and organizational citizenship behavior, indicated that among the characteristics of transformational leadership (such as, idealized influence, inspirational motivation, individual consideration, and intellectual stimulation), idealized influence and individual consideration had a positive influence on self-efficacy. Idealized influence, individual consideration, conditional reward, and management by exception also positively influenced self-efficacy and altruistic and conscientious behavior (organizational citizenship behavior). Conclusions - Results suggest that with regard to self-efficacy and group efficacy, managers in different departments and chefs should provide team members with a vision for the future, increase their confidence in their abilities, and build their trust in the organization. By evaluating employee performance and experiences, management can demonstrate leadership and encourage organizational citizenship behavior through enjoyable, voluntary participation. Transformational and transactional leadership is effective in group processes that include social-exchange relationships, self-efficacy and group efficacy, and organizational citizenship behavior. However, as this research study utilizes only self-reported data, it has several limitations, such as a vulnerability of errors caused by the various experiment types. A significant limitation of this study is the lack of potential for the duplication of results. The covariance structure analysis, however, provides complementation to limit the impact of errors from self-reporting studies. A future study can extend this research by utilizing different data collection methods.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.3
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• pp.19-32
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• 2020

This study analyzed the effects of ICT technical characteristics of agricultural industry on smart farm entrepreneurial intention by using smart farm effort expectation and smart farm acceptance intention as mediators for smart farm pre-founders. Sub-variables of the technical characteristics of agricultural industry ICT were classified into availability, economics, data convergence and scalability. 349 questionnaires collected from pre-founders living in the country were used for empirical analysis. SPSS v22.0 and Process macro v3.4 were used to analyze the data based on serial multiple mediation model. First, economics and scalability had a positive (+) effect on start-up intention. Second, availability, economics and scalability had a significant effect on effort expectation. Third, effort expectation had a significant positive effect on acceptance intention. Fourth, acceptance intention had a significant positive effect on start-up intention. Fifth, the indirect effects of economics on start-up intention were all significant through effort expectation, through acceptance intention and through both effort expectation and acceptance intention. Sixth, the indirect effect of data convergence on start-up intention was significant through acceptance intention. Seventh, the indirect effect of scalability on start-up intention was significant through effort expectation and through both effort expectation and acceptance intention. As a follow-up study, it is necessary to study for the mediating variables other than mediators introduced in the study or the moderated mediation analysis through the conditional process model in which the moderating variable is introduced.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.234-251
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• 2022

In this study, effects of the psychological characteristics of office workers and start-up preparation on entrepreneurship intention by mediating entrepreneurial opportunity recognition were analyzed. As sub-variables of psychological characteristics, desire for economic achievement, self-fulfillment, and risk-taking tendencies were classified. The collected 357 questionnaires, SPSS v24.0 and Process macro 3.5 were used for empirical analysis. As a result, first, it was showed that self-fulfillment and start-up preparation had a positive (+) effect on entrepreneurial intention, and the effect of desire for economic achievement and risk-taking tendencies on entrepreneurial intention was not significant. Second, it was confirmed that psychological characteristics and start-up preparation had a significant positive (+) effect on the entrepreneurial opportunity recognition. Third, it was found that the effect of the entrepreneurial opportunity recognition on the entrepreneurial intention was significant in the positive (+) direction. Fourth, entrepreneurial opportunity recognition was tested as mediating the psychological characteristics of workers, start-up preparation and entrepreneurial intention. As a follow-up study, it is recommended that studies to analyze moderated mediating effects by the conditional process model including moderating variables and to discover the third mediator other than a mediator used in the research should be conducted.

• Environmental and Resource Economics Review
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• v.31 no.2
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• pp.291-317
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• 2022

This study tried to analyze the factors affecting consumers' vehicle selection for the spread of eco-friendly vehicles. We used the energy census data for this purpose, and although the energy census collects useful information from a large number of samples, it has been limitedly used to create simple statistics in many cases. Based on 2,771 transport sector microdata from the 2017 Energy Census, we collected vehicle price, fuel efficiency, and number of vehicle models, which are alternative characteristic variables that change according to consumers' choice, and converted and analyzed data to enable conjoint analysis. The analysis results in two-folds. First, it was confirmed that the official fuel efficiency of a vehicle and the fuel cost, which is affected by changes in the relative price of each fuel, are important variables in selecting an eco-friendly vehicle. In order to achieve the goal of spread of eco-friendly vehicles, it is necessary to develop technologies to improve fuel efficiency and set appropriate electric rates for charging electric vehicles. Second, an increase in the number of vehicle models through the expansion of the eco-friendly car industry and market also affects consumers' choice of eco-friendly vehicles, so efforts to expand the supply of eco-friendly vehicles will be an important factor. In addition, it is also significant that this study showed that the use of the energy census can be diversified by deriving meaningful policy implications using the results of the energy census periodically conducted in the country without a separate survey.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.3
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• pp.81-95
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• 2023

In this study, the effect of platform selection attributes on customer satisfaction by mediating supplier trust for agrifood platform users was analyzed. The sub-variables of the selection attribute were classified into diversity, convenience, information, commerciality, and interactivity. The collected 190 questionnaires, SPSS v24.0 and Process macro 4.0 were used for empirical analysis. As a result of the analysis, first, it was found that information, commerciality, and interactivity affect supplier trust in a positive direction, and diversity and convenience do not affect supplier trust. Second, it was confirmed that supplier trust had a significant positive effect on customer satisfaction. Third, convenience, information, commerciality, and interactivity were found to affect customer satisfaction in a positive direction, and diversity did not affect customer satisfaction. It was tested to mediate between informational, commercial, interactivity and customer satisfaction. These results suggest that the platform's informativeness, commerciality, and interactivity can increase customer satisfaction by increasing supplier trust. As a follow-up study, it is recommended that the analysis of moderated mediating effects by the conditional process model including moderating variables or research to discover third mediator(s) other than the supplier trust used in the study is needed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.175-192
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• 2020

This study analyzed the effects of corporate dynamic capabilities on enterprise performance by using ambidextrous innovation activities as mediators, focusing on SME employees. The sub-variables of dynamic capabilities were divided into opportunity exploration capability, resource acquisition capability, and resource reconstruction capability. 282 questionnaires collected from small and medium-sized enterprises residing in the metropolitan area were used for empirical analysis. SPSS v22.0 and Process macro v3.4 were used to analyze the parallel multiple mediation model. First, the results of the analysis showed that opportunity exploration capability, resource acquisition capability had a positive (+) effect on the ambidextrous innovation activities, and the effect of resource reconstruction capability on ambidextrous innovation activities was not significant. Second, the ambidextrous innovation activities had a significant effect on the enterprise performance. Third, it was found that opportunity exploration capability and resource acquisition capability had a positive (+) effect on enterprise performance, and the effect of resource reconstruction capability on enterprise performance was not significant. Fourth, the ambidextrous innovation activity mediated the relationship between opportunity exploration capability and enterprise performance. Fifth, the ambidextrous innovation activity mediated the relationship between resource acquisition capability and enterprise performance. Sixth, the ambidextrous innovation activity did not mediate the resource reconstruction capability and the enterprise performance. As a follow-up study, it is necessary to find third mediators besides the mediators used in this study, analyze the serial mediation model through these, and study for the moderated mediation analysis through the conditional process model in which the moderator is introduced.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.290-301
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• 2017

This study examined the causal relationship among the leadership type, organizational commitment, and job performance, and to improve the organizational performance and effective methods of human resource management in hospital organizations. The survey period was from October 6, 2016 to October 20, and 375 employees working in hospitals were selected for the final survey. To analyze the validity of the measurement variables, reliability and confirmatory factor analysis were conducted, and the covariance structure equation analysis was conducted to grasp the causal relationship among leadership, organizational commitment, and job performance. In conclusion, leadership, organizational commitment, and job performance were significantly different according to the occupation(p<0.05), age(p<0.05), and working period(p<0.05), and individual care(p<0.001) and conditional reward(p<0.001) showed a high causal relationship with the organizational commitment and job performance. In the future, leadership that can take care of the individual characteristics of the members of the organization and ability to demonstrate their competence will be needed, and it will be necessary to establish a reasonable compensation system after measuring the degree of achievement of work. In addition, leadership needs to be in place to promote organizational performance considering the job type, gender, age, and duration of work. Managers should make efforts to form an organizational culture and provide related education programs to improve loyalty and attachment of members to the organization.