• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.891-899
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• 2024

The Fourth Industrial Revolution is centered on a personalized demand fulfillment economy and is all about transformation and flexible processing that can deliver what customers want in real time across space and time. This paper implements the construction and operation of a packaging platform that can instantly procure the required packaging products based on real-time orders and evaluates its performance. The components of customer satisfaction are flexible and dependent on the situation which requires efficient management of enterprise operational processes based on an e-SCM platform. An OMS optimized for these conditions plays an important role in maximizing and differentiating the efficiency of a company's operations and improving its cost advantage. OMS is a system of mass customization that provides efficient MOT(Moment of Truth) logistics services to meet the eco-friendly issues of many individual customers and achieve optimized logistics operation goals to enhance repurchase intentions and sustainable business. OMS precisely analyzes the collected data to support information and decision-making related to efficiency, productivity, cost and provide accurate reports. It uses data visualization tools to express data visually and suggests directions for improvement of the operational process through statistics and prediction analysis.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.643-650
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• 2024

Currently, South Korea is grappling with a paradoxical situation characterized by simultaneous labor shortages and job shortages. Within this context, retirees are citing conflicts with supervisors/colleagues and dissatisfaction with organizational culture as the primary reasons for their departure, with these issues disproportionately affecting the MZ generation. In response, scholars have conducted preliminary studies to understand the relationships between organizational culture and other variables specifically concerning the MZ generation. However, most of these studies are based on a unified theory of the MZ generation, failing to satisfy the practical demands for distinguishing between Generations M and Z. Therefore, this research aims to explore the differences in variable relationships between these two groups within the hospitality industry. Surveys were conducted among 170 individuals from Generation M and 110 from Generation Z, and the data were analyzed using AMOS structural equation modeling. The analysis confirmed that both hierarchical culture and generational conflict significantly define relationships across all generations, with generational conflict adversely affecting organizational commitment. Additionally, while a relationship-oriented culture negatively impacts generational conflict for Generation M, no such effect was observed for Generation Z. This study successfully identifies the differential impacts between Generation M and Generation Z.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.915-922
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• 2024

Currently, in Korea, there is a growing interest in improving the learning ability of the education target group due to the low birth rate and aging population. The dilemma of a shrinking population ultimately causes the burden of having to come up with a plan to efficiently maximize the use of available population resources. Accordingly, this study explores the impact of learning motivation (activity-oriented motivation, learning-oriented motivation) on learner characteristics (learning value, learning efficacy) and learning satisfaction, and as a result, intention to continue participating in lifelong learning (recommendation intention, relationship continuation intention). As a results of the analysis, it shows that learning motivation had a significant effect on learning satisfaction, and the emotions formed in this way had a positive effect on recommendation intention and relationship continuation intention. In addition, the results show that learning-oriented motivation had a significant effect on both learning satisfaction and learner characteristics, but that learning efficacy had no effect on recommendation intention. This study is significant in that it presents the basis for an educational system based on relationship maintenance and learner characteristics by considering the learner's orientation, individual achievement direction, recommendation intention, and relationship continuation intention.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.3
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• pp.121-129
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• 2024

The rapid advancement of digital technology and the COVID-19 pandemic have significantly accelerated the growth of online commerce, highlighting the need for support mechanisms that enable small business owners to effectively respond to these market changes. In response, this paper presents a foundational technology leveraging the Online to Offline (O2O) strategy to automatically capture products displayed on retail shelves and utilize these images to create virtual stores. The essence of this research lies in precisely identifying and recognizing the location and names of displayed products, for which a single-class-targeted, lightweight model based on YOLOv8, named ESD-YOLOv8, is proposed. The detected products are identified by their names through feature-point-based technology, equipped with the capability to swiftly update the system by simply adding photos of new products. Through experiments, product name recognition demonstrated an accuracy of 74.0%, and position detection achieved a performance with an F2-Score of 92.8% using only 0.3M parameters. These results confirm that the proposed method possesses high performance and optimized efficiency.

• Journal of Digital Convergence
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• v.22 no.3
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• pp.1-7
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• 2024

This study provides an in-depth analysis of the impact of the deepening reform and opening-up policies announced at the 20th CPC Central Committee's Plenary Session, particularly focusing on the <Foreign Investment Law> and its effects on the tax decisions and organizational restructuring of Korean companies operating in China. Using a comprehensive literature review and policy analysis, the study compares the dual legal structure and tax differences before and after the implementation of the law, assessing how legal unification has influenced the organizational forms and tax strategies of Korean companies. The findings indicate that the <Foreign Investment Law> has played a crucial role in enhancing legal consistency and tax equity between foreign-invested enterprises and domestic enterprises, thereby enabling Korean companies to manage their operations in the Chinese market more stably and efficiently. Additionally, in the context of the ongoing U.S.-China trade conflict, the law's provision of national treatment and tax benefits has proven to be a significant factor in the survival strategy of Korean companies in China. Future research should focus on empirically examining the long-term effects of this law and its impact on actual corporate performance.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.729-736
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• 2024

In connection with the OECD's core competency proposal, we would like to consider an attempt to realize this in liberal arts education at Korean universities and examine what kind of education plan it is desirable to present to learners. Universities are expanding competency-based education into human and social fields by reconsidering new talent awards and the direction of education. In this way, each university selects and organizes core competencies and incorporates the core competencies that the university pursues into educational goals. Under the supervision of the Ministry of Education, education centered on core competencies is exploring its potential in liberal arts courses at universities above all else. We want to explore a methodology that can achieve learner-centered teaching and learning effects in the process of incorporating and accepting this. Language acquisition along with cross-cultural understanding is above all else a part that can promote learners' competencies in terms of diversity and mutual understanding. Therefore, we reflect this in French liberal arts education and explore teaching and learning processes by incorporating respect for diversity and mutual cultural understanding competency education related to learners' motivation into lectures. We aim to supplement this through collaboration and mutual cultural understanding processes as presentation tasks in order to overcome the existing competency-based evaluation while deriving acceptance results from learners. Therefore, they recognize that the direction of core competency education naturally shifts to value-centered education.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.631-643
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• 2024

With the rapid advancement of digital technology, unmanned store services are on the rise, yet studies investigating their impact on customer satisfaction are scarce. This study aims to explore how unmanned store services affect customer satisfaction, focusing on the factors of risk and benefit. The methodology involved an online survey conducted from December 20 to December 30, 2023, targeting 260 customers who had used unmanned store self-service at least once, with 252 responses ultimately analyzed. The results reveal that the risk and benefit factors of unmanned store self-services complexly and diversely influence subjective norms and perceived control. Firstly, personal information breaches positively affected subjective norms, while overload and uncertainty had negative impacts. Secondly, while convenience negatively influenced subjective norms, playfulness and usefulness had positive effects. However, personal breaches and overload did not affect perceived control, whereas uncertainty did negatively. The findings of this study provide significant insights into how successful implementation and management of unmanned store self-services can regulate social expectations and control perception of customers, thereby enhancing customer satisfaction.

• Journal of Service Research and Studies
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• v.14 no.3
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• pp.102-130
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• 2024

The accelerated pace of change in the business environment and the advent of new information and communication technologies since the onset of the pandemic have had a profound impact on the way in which work is conducted. These developments are also affecting the nature of secretarial roles, with the adoption of digital workplaces rendering online-based work that transcends physical time and space the norm. The role of the secretary is also undergoing a transformation, with the capacity to utilize digital technology and communicate in person emerging as crucial competencies. The objective of this study is to provide an exploratory account of the evolving work environment and the newly required competencies of secretaries in the digital workplace. The research methodology comprised in-depth interviews with current assistants, the objective of which was to explore the cultural, spatial, technological, and workplace changes and the new competencies required. The study revealed that the role of secretaries in the digital workplace is undergoing a significant transformation. This is characterised by a decline in traditional face-to-face work, an increased reliance on digital platforms, and the digitisation of information management. The competencies deemed essential for success in this evolving environment include digital literacy, proficiency in text-based communication, the ability to maintain a consistent attitude towards online and offline work, and the capacity to adapt to new situations. The findings of this study contribute to the academic understanding of the digital workplace for secretaries and provide a useful basis for the development of practical secretarial education and career development programs. Furthermore, this study aims to provide a more comprehensive examination of secretarial work in the digital workplace and to identify areas where secretaries may require additional support.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.161-173
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• 2020

As ICT convergence technology has spread and applied to various industrial fields and society in general, interest in rural entrepreneurship using smart farm as a means for solving many pending problems in agriculture is increasing. In this context, this study is to look at the influential factors in terms of perceived usefulness associated with the rural entrepreneurial intention using smart farm and suggest a proposal for spreading smart farms. The subjects were 296 general adults over 20 years old who were selected by simple random sampling method. The research method was exploratory factor analysis and multiple regression analysis using IBM SPSS 22.0. The perceived usefulness of smart farm, which are availability, reliability and economic efficiency were selected as independent variables to analyze the influential factors on rural entrepreneurial intention using smart farm and the moderating effect of personal innovation was observed. As a result, reliability and economic efficiency have a positive(+) influence on rural entrepreneurial intention using smart farm. And personal innovation moderates the relationship between the availability, reliability of smart farm and rural entrepreneurial intention using smart farm. The results of this study have significance in that we devised and empirically revealed factors affecting rural entrepreneurship intentions from the perspective of perceived usefulness of smart farms, away from studies of general entrepreneurship intention factors such as internal personal characteristics and external environmental factors. The implications of the study are expected to be utilized at the seeking direction of policy for potential entrepreneur using smart farm, the training and consulting in actual field of smart farm.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.59-71
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• 2014

System trading is becoming more popular among Korean traders recently. System traders use automatic order systems based on the system generated buy and sell signals. These signals are generated from the predetermined entry and exit rules that were coded by system traders. Most researches on system trading have focused on designing profitable entry and exit rules using technical indicators. However, market conditions, strategy characteristics, and money management also have influences on the profitability of the system trading. Unexpected price deviations from the predetermined trading rules can incur large losses to system traders. Therefore, most professional traders use strategy portfolios rather than only one strategy. Building a good strategy portfolio is important because trading performance depends on strategy portfolios. Despite of the importance of designing strategy portfolio, rule of thumb methods have been used to select trading strategies. In this study, we propose a SVM-based strategy portfolio management system. SVM were introduced by Vapnik and is known to be effective for data mining area. It can build good portfolios within a very short period of time. Since SVM minimizes structural risks, it is best suitable for the futures trading market in which prices do not move exactly the same as the past. Our system trading strategies include moving-average cross system, MACD cross system, trend-following system, buy dips and sell rallies system, DMI system, Keltner channel system, Bollinger Bands system, and Fibonacci system. These strategies are well known and frequently being used by many professional traders. We program these strategies for generating automated system signals for entry and exit. We propose SVM-based strategies selection system and portfolio construction and order routing system. Strategies selection system is a portfolio training system. It generates training data and makes SVM model using optimal portfolio. We make $m{\times}n$ data matrix by dividing KOSPI 200 index futures data with a same period. Optimal strategy portfolio is derived from analyzing each strategy performance. SVM model is generated based on this data and optimal strategy portfolio. We use 80% of the data for training and the remaining 20% is used for testing the strategy. For training, we select two strategies which show the highest profit in the next day. Selection method 1 selects two strategies and method 2 selects maximum two strategies which show profit more than 0.1 point. We use one-against-all method which has fast processing time. We analyse the daily data of KOSPI 200 index futures contracts from January 1990 to November 2011. Price change rates for 50 days are used as SVM input data. The training period is from January 1990 to March 2007 and the test period is from March 2007 to November 2011. We suggest three benchmark strategies portfolio. BM1 holds two contracts of KOSPI 200 index futures for testing period. BM2 is constructed as two strategies which show the largest cumulative profit during 30 days before testing starts. BM3 has two strategies which show best profits during testing period. Trading cost include brokerage commission cost and slippage cost. The proposed strategy portfolio management system shows profit more than double of the benchmark portfolios. BM1 shows 103.44 point profit, BM2 shows 488.61 point profit, and BM3 shows 502.41 point profit after deducting trading cost. The best benchmark is the portfolio of the two best profit strategies during the test period. The proposed system 1 shows 706.22 point profit and proposed system 2 shows 768.95 point profit after deducting trading cost. The equity curves for the entire period show stable pattern. With higher profit, this suggests a good trading direction for system traders. We can make more stable and more profitable portfolios if we add money management module to the system.