• Management & Information Systems Review
• /
• v.36 no.4
• /
• pp.149-166
• /
• 2017

The purpose of this study puts stress on effects of job satisfaction and organizational commitment depending on the type of organizational culture of ICT enterprises. This study utilized the 6th Human Capital Corporate Panel(HCCP) data from Korea Research Institute for Vocational Education & Training to analyze the effects of organizational culture in ICT enterprises on the job satisfaction and organizational commitment. The Samples are managers, supervisor, and employees in ICT industries who replied thorough the 6th HCCP. Answers from 875 people, except inappropriate answers, were used to test a hypothesis. In order to do that, reliability analysis and correlation analysis and regression analysis, utilizing the SPSS 24.0 & Amos 18.0, were used to analyze the effects of organizational culture on the job satisfaction and organizational commitment in ICT enterprises. With the purpose of this study, organizational cultures in ICT enterprises have different effects on job satisfaction and organizational commitment. The group culture, development culture, rational culture and hierarchy culture have a positive effects on job satisfaction. And the group culture, development culture and rational culture have a positive effects on organizational commitment. Whereas, hierarchy culture have no effects on organizational commitment. Also, job satisfaction have a positive effects on organizational commitment. Among four cultures of ICT enterprises, the importance of group culture should be stressed. According to the result of empirical analysis, group culture has the most positive impact on job satisfaction, contrary to the expectation that development culture might be the one. So far, the group culture, which emphasizes organizational flexibility, integration, trust, teamwork, high participation, royalty and morale, have positive impact on the organizational employees the most.

• The Journal of the Korea Contents Association
• /
• v.21 no.2
• /
• pp.572-586
• /
• 2021

With the advent of the 4th Industrial Revolution, the modern economy is transforming into a service-oriented economic society, and there is a growing need for companies to reorganize organizational culture, values, and human resources to suit the changing environment. Especially, even when times change, human capital is the most important factor in maintaining sustainable development and Corporate value, since all work is done by people. Therefore, in this study, in order to recognize the importance of human resources and verify the appropriate human resources for the changing service economy era, we reviewed the literature and that drew the human resources suitable for the recent service economy era Based on this, an empirical study was conducted on whether the suggested human resources factors were useful. To this end, a feasibility analysis, reliability analysis, correlation analysis, confirmatory factor analysis, and reference validity were conducted by dividing into a preliminary survey and a main survey. As a result, it was finally drawn with 30 items, 7 factors. The results of this study are expected to be used as basic data in various fields of research on human resources in the service economy era, and in-depth empirical studies are needed in the future.

• Information Systems Review
• /
• v.23 no.1
• /
• pp.45-68
• /
• 2021

As the influence of online reviews on consumer decision-making increases, concerns about review manipulation are also increasing. Fake reviews or review manipulations are emerging as an important problem by posting untrue reviews in order to increase sales volume, causing the consumer's reverse choice, and acting at a high cost to the society as a whole. Most of the related prior studies have focused on predicting review manipulation through data mining methods, and research from a consumer perspective is insufficient. However, since the possibility of manipulation of reviews perceived by consumers can affect the usefulness of reviews, it can provide important implications for online word-of-mouth management regardless of whether it is false or not. Therefore, in this study, we analyzed whether there is a difference between the review evaluated by the consumer as being manipulated and the general review, and verified whether the manipulated review negatively affects the review usefulness. For empirical analysis, 34,711 online book reviews on the LibraryThing website were analyzed using multilevel logistic regression analysis and Poisson regression analysis. As a result of the analysis, it was found that there were differences in product level, reviewer level, and review level factors between reviews that consumers perceived as being manipulated and reviews that were not. In addition, manipulated reviews have been shown to negatively affect review usefulness.

• Journal of the Economic Geographical Society of Korea
• /
• v.23 no.1
• /
• pp.1-17
• /
• 2020

The study aims to identify economic interdependencies between regions and define functional economic areas of Korea by analyzing inter-firm transaction networks. Previous research has relied on pre-given administrative boundaries or cultural homogeneity and used data such as commuting, population movement, and cargo flows which could not fully explain economic activities. To overcome the limitations, this study applies a community detection method to inter-firm transaction networks derived from the CRETOP+ database of Korean corporate data. The novel dataset and the network analysis enables us to identify Korea's functional economic areas based on actual inter-firm linkages. The result shows that there are six to seven economic blocs in the networks as of 2018. In particular, one huge economic bloc is formed integrating the Seoul metropolitan area, Chungcheong, and Gangwon provinces. Meanwhile, North Jeolla and South Jeolla provinces form two economic blocs separately rather than being tied up in one bloc due to the low frequency of transactions between each other. The two big economic blocs of Daegu-Gyeongbuk and Busan-Gyeongnam exist, and interestingly, Ulsan, Gyeongju, and Pohang form a separate middle-sized bloc across the administrative boundaries. The results reveal that the future balanced national development policies should be implemented based on functional economic areas derived from empirical data.

• The Korean Journal of Applied Statistics
• /
• v.20 no.3
• /
• pp.423-440
• /
• 2007

Although various models have been developed to establish the enterprise credit scoring, no model has utilized the enterprise human resource so far. The purpose of this study was to build an enterprise credit scoring model using enterprise human resource factors. The data to measure the enterprise credit score were made by the first-year research material of HCCP was used to investigate the enterprise human resource and 2004 Credit Rating Score generated from KIS-Credit Scoring Model. The independent variables were chosen among questionnaires of HCCP based on Mclagan(1989)'s HR wheel model, and the credit score of Korean Information Service was used for the dependent variables. The statistical method used for data analysis was logistic regression. As a result of constructing a model, 22 variables were selected. To see these specifically by each large area, 6 variables in human resource development(HRD) area, 15 in human resource management(HRM) area, and 1 in the other area were chosen. As a consequence of 10 fold cross validation, misclassification rate and G-mean were 30.81 and 68.27 respectively. Decile having the highest response rate was bigger than the one having the lowest response rate by 6.08 times, and had a tendency to decrease. Therefore, the result of study showed that the proposed model was appropriate to measure enterprise credit score using enterprise human resource variables.

• The Journal of Society for e-Business Studies
• /
• v.26 no.3
• /
• pp.1-20
• /
• 2021

As the Great Reset is discussed at the World Economic Forum due to the COVID-19 pandemic, artificial intelligence, the driving force of the 4th industrial revolution, is also in the spotlight. However, corporate research in the field of artificial intelligence is still scarce. Since 2000, related research has focused on how to create value by applying artificial intelligence to existing companies, and research on how startups seize opportunities and enter among existing businesses to create new value can hardly be found. Therefore, this study analyzed the cases of startups using the comprehensive framework of the multi-level perspective with the research question of how artificial intelligence based startups, a sub-industry of software, have different innovation patterns from the existing software industry. The target firms are gazelle firms that have been certified as venture firms in South Korea, as start-ups within 7 years of age, specializing in machine learning modeling purposively sampled in the medical, finance, marketing/advertising, e-commerce, and manufacturing fields. As a result of the analysis, existing software companies have achieved process innovation from an enterprise-wide integration perspective, in contrast machine learning technology based startups identified unit processes that were difficult to automate or create value by dismantling existing processes, and automate and optimize those processes based on data. The contribution of this study is to analyse the birth of artificial intelligence-based startups and their innovation patterns while validating the framework of an integrated multi-level perspective. In addition, since innovation is driven based on data, the ability to respond to data-related regulations is emphasized even for start-ups, and the government needs to eliminate the uncertainty in related systems to create a predictable and flexible business environment.

• Korean Journal of Construction Engineering and Management
• /
• v.23 no.3
• /
• pp.13-24
• /
• 2022

Construction projects are exposed to various types of risks, which tend to increase. The increasing risks call for contractors' more attentions to forecasting and dealing with these risks. One of the measures to deal with contractors' risks is to forecast or estimate risk cost and include it in the construction budget. Although various researches in relation to risk cost have been observed, little attention has been paid to general contractors' perceptions and current practices in estimating risk cost of construction budget. The objective of the study is to identify and discuss key characteristics and implications based on the survey and analysis of general contractors' perceptions and current practices in estimating risk cost of construction budget. The study shows that there is a gap between the perception and the practice of estimating risk cost, that is, high perception of the importance of risk cost and a relatively low level of practice. It suggests that historical cost data, guidelines and corporate-level standard procedures are required to improve the current practice in addition to sufficient time allocations for risk cost estimating. It discusses that there is a need for using sophisticated estimating techniques including bid data analytics despite a low level of the current adoption, and also proposes that research and development in the field of the sophisticated estimating techniques should be further implemented in order to increase their practicality.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.9 no.1
• /
• pp.153-164
• /
• 2014

This study is to investigate the effects of intangible assets such as research & development, education & training and advertisement on firm values of high-technology firms and low-technology firms listed in the KOSDAQ market, and to analyze the value-relativeness between the audit quality of companies and the expenditure of intangible assets. The substitute measurement of firm values is Tobin's Q model. The sample period for positive analysis is from 2003 to 2008, and the samples, excepting for financial business, are manufacturing companies of closing accounts corporate on December, based on companies of KOSDAQ that are listed in security. Finally, data from about 305 companies are used in this analysis. Followings are the results of the analysis. First, research & development, education & training of high-technology firms have an effect on firm values, and education & training of low-technology have an effect on firm values. Second, we find that audit quality(BIG4) increases the value relevance of R&D expenditures of high-technology firms and audit quality(BIG4) increases the value relevance of education & training expenditures of low-technology firms. This paper is meaningful in that it verified the value-relativeness of cost of intangible assets compared with high-technology firms to low-technology firms.

• Journal of the Korean Society of Safety
• /
• v.35 no.3
• /
• pp.64-71
• /
• 2020

Safety is not a service provided selectively by the country, and it is a basic right that human beings should enjoy. However, as the recent expansion of outsourcing due to the efficient corporate management, fatal accidents such as the Taean Power Plant where subcontractors are pinched on conveyors continued to occur. In addition, public safety concerns have been widespread as there are constant safety-related accidents in public institutions such as KTX trains derailing. As public institutions require safety as a top priority for management rather than profit, the government needs a leading role to enhance the level of private safety activities. The government announced the "Measures to strengthen the workplace safety of public institutions" and is promoting measures to protect the lives and safety of the people. The purpose of this study was to in-depth analysis of the accident and death situation in public institutions in the last 5 years from 2014 to 2018. A recognition survey was also conducted and the results were analyzed. As a result of the analysis of industrial accident death, it showed that the number of industrial accident deaths in public institutions was about 50 people per year, and it occupied about 6.1% of all industrial accidents. Following the government's public policy measures, positive changes as a result of the survey on awareness were detected in the order of rising safety awareness and participation of management (56.9%), safety and health organization and personnel composition (37.9%), and increasing safety awareness and participation of members (18.9%). However, the obstacles to the implementation of government measures were followings; 1) consciousness and lack of participation (42.1%), 2) indifference from other departments (35.1%), 3) absence, or lack of competency of safety manager (33.3%). In addition, safety investments and safety management of contractors and ordering works were analyzed to have remained largely unchanged even after the implementation of safety measures. Through this study, it is intended to provide basic data for strengthening the level and activities of safety in public institutions.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.12
• /
• pp.8424-8436
• /
• 2015

This research recognizes the importance of the study on leadership for the management of enterprises. Among the financial institutes, the employees at the banks were targeted in this study to empirically analyze the effects of superiors' leadership (transformational leadership, transactional leadership, and servant leadership) on the subordinates' self-leadership and organizational effectiveness (organizational commitment and organizational citizenship behavior). In particular, this study analyzed the influencing relationship between the superior's leadership style and the subordinates' self-leadership, to identify the leadership style most suitable for enhancing the subordinates' self-leadership and to further determine if it can lead to the enhancement of organizational commitment and organizational citizenship behavior. The employees at approximately 50 branches of domestic large corporate banks located in Seoul and Gyeonggi area were targeted, and the survey was conducted in the form of self-response questionnaire. The statistical analysis was conducted on a total of 338 valid data by using structural equation modeling analysis. The result of the analysis was as follows. The transformational and servant leadership of the superior had a positive effect on the self-leadership of the subordinate, and transactional leadership did not show a significant effect. Furthermore, self-leadership was shown to have a positive effect on organizational commitment and organizational citizenship behavior.