• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.7
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• pp.1164-1179
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• 2009

This study presented the characteristics of a mobile fashion shopping mall as perceived by those in charge of fashion brands, clarified the effect of the characteristics on the intention 'Of introduction, and indicated the differences in the intention of introduction according to the characteristics of brands. This study surveyed individuals in charge of fashion & clothing brands. It utilized SPSS 12.0 program for data analysis and performed frequency analysis, validity analysis, reliability analysis, multi regression analysis, ANOVA, and hierarchical adjustment regression analysis. A summary of the results of this study are as follows: First, the results of the factor analysis are shown to clarify the characteristics of mobile fashion shopping mall; four factors such as facility/usefulness, instant accessibility, personalization, and playfulness were also represented. Second, it showed that facility/usefulness, instant accessibility and personalization generate a positive influence on the intention of introduction. Of the factors, facility/usefulness displayed the highest influence. Third, regarding the effect of the characteristics of a mobile fashion shopping mall on the intention of introduction according to the characteristics of brands (in the case of women's wear) the intention of introduction is strong as instant accessibility and facility/usefulness is highly recognized. Lastly, there is a difference in the intention of introduction according to the characteristics of brands. According to items, casual wear shows the highest intention of introduction as followed by women's wear and sportswear. According to age, brands targeting a 24-29 year old group show a higher intention. Companies with average sales of 50 billion won to 750 billion won (or more) for three years showed a high intention. In addition, the possibility of introduction as a new distribution line was investigated.

• Korea Journal of Hospital Management
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• v.25 no.2
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• pp.57-68
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• 2020

Purpose: The purpose of this study is to determine the influence of hospital employees' perceptions and performance expectations on IT technologies introduction and intention to use in the Fourth Industrial Revolution. Methodology: A survey was conducted on 524 employees at 42 hospitals. Pearson's correlation analysis, regression analysis, Sobel test, and structural equation were used for the analysis. Findings: The factors of technical situation (complexity, compatibility, technical readiness, and security concerns), those of environmental situation (competitive pressure and regulatory support), and organizational situation (top management support and costs) have influenced on the recognition of employees in the hospital and the performance expectations. IT technology introduction and use intention have been influenced by technical situation, organizational situation, and environmental situation in order. But security concerns and cost factors have not statistically affected. In addition, due to the perception and performance expectations of hospital employee who have a role in mediating the introduction and use intention of IT technology, the greater the perception and performance expectations of hospital employees, the higher the intention of introduction and usage of IT technology. Practical Implications: Rather than considering the position of external customers and the position of competitive hospitals, more attention is required for the perception and performance expectations of the internal members.

• Journal of Korean Society for Quality Management
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• v.52 no.1
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• pp.149-172
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• 2024

Purpose: By empirically analyzing factors that affect the intention to introduce RPA, we aim to increase understanding of RPA introduction in small and medium-sized businesses and contribute to establishing an effective introduction strategy. The aim is to improve the company's productivity, reduce costs, and strengthen its competitiveness. It also provides policy recommendations for the introduction of RPA. Methods: A survey was conducted to examine whether the technical, organizational, and environmental factors of the TOE framework had an impact on the intention to adopt RPA. We also used stepwise regression analysis to determine whether firm size moderates this relationship. Results: Technical factors, organizational factors, and environmental factors were all found to have a significant impact on small and medium-sized enterprises' intention to adopt RPA. It was confirmed that company size has a moderating effect affecting the intention to adopt RPA. In particular, customer pressure, relative advantage, competitive pressure, age, government support, and the perceived ease of use of RPA was a key determinant of its adoption by small and medium-sized enterprises. Conclusion: This suggests that small and medium-sized businesses should comprehensively consider technical, organizational, and environmental factors when introducing RPA. It is expected to increase understanding of RPA introduction in small and medium-sized businesses, contribute to establishing effective introduction strategies, and contribute to improving company productivity, reducing costs, and strengthening competitiveness.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.649-659
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• 2023

Smart work, which utilizes ICT technology to work without time and space constraints, has been difficult to introduce and spread despite a lot of research and investment based on the 'smart work vitalization strategy' that began in 2010. Although the environment of COVID-19 in 2019 was an opportunity to promote the adoption of smart work. After that, many companies ended or reduced the adoption of smart work again. This study was initiated to examine the factors that resist the introduction of smart work based on the innovation resistance model and to suggest alternatives. As a result of this study, relative advantage showed a strong effect on both introduction resistance and introduction intention. However, it was confirmed that perceived risk and complexity did not directly negatively affect introduction intentions, but had a negative effect on introduction intentions through mediating resistance to introduction. Through the results of this study, it was confirmed that if the practical benefits of smart work were emphasized and negative attitudes were reduced, the resistance to introduction would be lowered and the intention to introduce it would be positively affected.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.39-48
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• 2021

The retirement pension is one of the security systems for retirement income. In Korea, since 2016, companies with 300 or more employees are obligated to introduce retirement pensions, so the rate of introduction of retirement pensions by large companies is high, but the rate of introduction of small and medium-sized enterprise(SME) is very low. This study aims to suggest a direction for the government's policy establishment to introduction of a retirement pension plan by looking at what financial attributes affect the intention to introduction of retirement pension plan. As a result of the analysis, it was found that among the financial attributes, Return on Sales in the positive (+) direction and Equity Capital Ratio in the negative (-) direction were significant factors influencing the intention to introduce a SME retirement pension. Accordingly, the government policy to induce the introduction of the retirement pension for SMEs needs to be implemented in stages with priority to SMEs with large Return on Sales and Equity Capital Ratio.

• Asia pacific journal of information systems
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• v.24 no.4
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• pp.443-472
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• 2014

To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.165-175
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• 2021

As the advent of the Fourth Industrial Revolution and Information Age, companies are in the state of infinite competition due to the rapidly changing technological environment and fierce competition. In this situation companies are making efforts to gain the competitive advantage by introducing information systems. Supply Chain Management (SCM) is considered a method to gain a competitive edge in rapid change. In fact, companies that already have introduced the SCM system are achieving company renovation with positive effects such as increase of sales stock reduction on-time delivery cost reduction and improved efficiency. This study was started to investigate the resistance that occurs in introducing the SCM system for small and medium-sized manufacturing industries that have not yet introduced the SCM system despite the importance of the SCM system, and to check the effect on the intention of the introduction. As the result of this study, the first is that the company has the higher technological innovation, the more positive the effect on Relative advantage Compatibility Perceived risk, Complexity. Second, The compatibility of the SCM system was rejected in innovation resistance, but it is adopted with the highest impact in the introduction intention. In addition, the mediating effect of innovation resistance was also rejected, confirming that if the SCM system is compatible for the company, it doesn't affect the resistance and is the biggest factor to consider in the introduction of the SCM system. Third, the perceived risk of the SCM system doesn't directly affect the intention to introduce, but has an indirect effect when mediation innovation resistance.

• Journal of Information Technology Services
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• v.10 no.2
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• pp.21-39
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• 2011

After ten years from the introduction of CRM systems, many companies reevaluate CRM from the perspective of customers. This paper classifies CRM activities at the contact points with customers and investigates the effect of CRM activities on perceived benefits and the effect of perceived benefits on behavioral intention in the Korean cosmetic industry. The result showed that contact management and complaint handling affected social benefits and that customers perceived confidence benefits from contact management, complaint handling, and churn management. Special treatment benefits were affected by all CRM activities including compensation management. Finally, all kinds of benefits had effects on behavioral intention such as recommendation intention and repurchase intention.

• Journal of Industrial Convergence
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• v.20 no.10
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• pp.137-146
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• 2022

The use of RPA (Robotic Process Automation) has been recently reviewed in various industries, but it seems that it is not being applied to companies faster than ever expected. In this study, three perceived risk factors affecting the acceptance conflict and acceptance intention of RPA technology were proposed and the effects of RPA on acceptance conflict and acceptance intention were investigated using RPA experienced people, gender and ICT industries as control variables. For the research, online survey was conducted targeting office workers and analyzed the results by using SPSS 22.0 and AMOS 22.0. As a result, it was found that among the three perceived risk factors, concern about introduction failure, employment insecurity, and execution errors, employment insecurity and execution errors did not affect the acceptance conflict and acceptance intention of RPA. This research shows that concerns over the introduction failure affected the acceptance conflict and acceptance intention. In addition, the acceptance conflict was judged as a factor of the mediation effect of the acceptance intention. From the perspective of companies that want to apply RPA, the theoretical and practical implications of business management are meaningful in that they can identify and respond to particularly important factors among perceived risks.

• Asia pacific journal of information systems
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• v.28 no.1
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• pp.1-18
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• 2018

Despite the increasing interest in the positive effects of smart-work, the introduction rate of domestic firms in Korea is lower than that of other developed countries. A gap also exists between the introduction of smart-work program and the actual use by workers. Thus, even if the smart-work program was introduced to firms, the actual usage rate of the program would still be lower than the introduction rate. Moreover, even if the program was initially used, evidence suggests that the usage rate tends to decrease rather than being used continuously. In this study, we intend to find out the mechanism by which the continuance intention of smart-work is formed. To achieve this objective, we established a research model based on literature on Information System (IS) continuance model and Information & Communication Technology (ICT) support. We also hypothesize that concerns about career disadvantage in the mechanism plays a negative role in the satisfaction of smart-work. To analyze the hypothesis empirically, we surveyed domestic workers who used smart-work. Our data analysis was based on 333 responses. We found that all paths were statistically significant, except for the direct effect of ICT support on perceived usefulness and the direct effect of perceived usefulness on smart-work continuance intention. The results of this study extend existing IS continuance model and suggest implications for practical smart-work implementation and improvement.