• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.289-305
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• 2023

The rapid increase in the use of mobile devices is changing consumers' online shopping behavior. However, the difference in the effect on the conversion rate according to the time when consumers switch from a small screen to a large screen has not been sufficiently studied. In addition, the differences in the effect of device conversion on purchase performance according to the characteristics of each country's infrastructure have not been sufficiently studied. Against this background, this study aims to analyze whether the timing of switching from mobile devices to PC devices and the country's mobile Internet penetration rate are moderating the positive effect of device switching on purchase performance. For empirical analysis, Google Merchandise Store data was collected and 101,466 data from 130 countries were analyzed with a multilevel model. As a result of the analysis, consumers' device switching (i.e., mobile to PC) had a positive effect when it occurred in the middle of the consumer journey. However, it was analyzed that when device switching occurred at the later stage of the consumer journey, it had a negative effect on purchase performance. In addition, it was analyzed that the higher the mobile Internet penetration rate, the weaker the positive effect of consumer device conversion on purchase performance.

• Journal of Service Research and Studies
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• v.13 no.3
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• pp.57-69
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• 2023

Early morning delivery possesses distinct characteristics that differentiate it from standard delivery services. This service typically involves delivering products to customers during the early morning hours, primarily before 7 AM. While online early morning delivery offers various advantages from a customer perspective, it also presents challenges that sellers and online shopping companies need to overcome. The early morning delivery market is experiencing significant growth in the online food retail sector, incorporating both PC-based online shopping and mobile shopping. The objective of this research is to identify the factors influencing customer satisfaction and the intention to reuse in the context of early morning delivery for online shopping. To model the online shopping environment with early morning delivery, independent factors were categorized into three types: System Properties, Product Characteristics, and Delivery Characteristics. This study examined the relationships among these three independent factors, the mediating factor of customer satisfaction, and the dependent variable of the intention to reuse. To conduct this research, empirical validation of the research hypotheses was carried out using the final dataset for analysis. Within this study, the previously explored System Properties, Product Characteristics, and Delivery Characteristics were established. Summarizing the findings of the analysis, it was discovered that System Properties and Product Characteristics played a significant role in determining the quality of early morning delivery services for online shopping. While product diversity and convenience had a positive impact, it is noteworthy that Delivery Characteristics did not influence customer satisfaction. Consequently, it can be concluded that there is no effect on the intention to reuse.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.125-144
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• 2023

Recently, the use of Large Language Models (LLMs) such as ChatGPT has been increasing in various fields such as interactive commerce and mobile financial services. However, LMMs, which are mainly created by learning existing documents, can also learn various human biases inherent in documents. Nevertheless, there have been few comparative studies on the aspects of bias and discrimination in LLMs. The purpose of this study is to examine the existence and extent of nine types of discrimination (Age, Disability status, Gender identity, Nationality, Physical appearance, Race ethnicity, Religion, Socio-economic status, Sexual orientation) in LLMs and suggest ways to improve them. For this purpose, we utilized BBQ (Bias Benchmark for QA), a tool for identifying discrimination, to compare three large-scale language models including ChatGPT, GPT-3, and Bing Chat. As a result of the evaluation, a large number of discriminatory responses were observed in the mega-language models, and the patterns differed depending on the mega-language model. In particular, problems were exposed in elder discrimination and disability discrimination, which are not traditional AI ethics issues such as sexism, racism, and economic inequality, and a new perspective on AI ethics was found. Based on the results of the comparison, this paper describes how to improve and develop large-scale language models in the future.

• Journal of Service Research and Studies
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• v.13 no.2
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• pp.204-226
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• 2023

One of the most important types of Customer Empowerment Strategy (CES) is select empowerment, where firms allow customers to vote on a product to be marketed. However, there is limited research on the advantages and disadvantages of select empowerment. In particular, there are few studies on the composition of a voting system. This study analyzes customer participation behavior, such as willingness to vote and strategic voting (i.e., voting for candidates not based on utility orders), under the different voting systems: 1) the number of votes per customer (single or multiple), and 2) the number of final choices (single or multiple). Uncertainty is proposed as a mediator that links the voting system difference and customer participation. Two research hypotheses are tested using multiple linear regression analysis and a natural effects model based on data from two online experiments. As a result, the multiple voting system (i.e., multiple winners are selected by customer votes) shows a direct positive effect on willingness to vote and strategic voting behavior. In addition, the result shows that uncertainty insignificantly mediates the relationship between the voting system and customer participation. Academic and managerial contributions are discussed with several future research directions.

• Knowledge Management Research
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• v.23 no.4
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• pp.177-205
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• 2022

Small- and medium-sized enterprises (SMEs) have strong incentives to engage in open innovation to enhance innovation efficiency and effectiveness due to their 'liability of smallness.' Previous research examined the performance effects of various open innovation practices, but whether coupled open innovation practices positively affect SMEs' firm performance is somewhat controversial. To resolve the issue, this study examined the effects of coupled open innovation activities on SMEs' firm performance using Heckman's two stage model to control endogeneity of the firms' self-selection bias in open innovation engagement. This study used the Korean Innovation Survey (KIS) 2020 collected by the Science and Technology Policy Institute (STEPI), and tested the effects of SMEs' coupled open innovation activities, R&D and non-R&D cooperation, on their innovative and financial performance indicators. The results showed that SMEs' R&D cooperation positively affects the new-to-market (NTM) product innovation only. Moreover, SMEs' non-R&D cooperation has positive effects on the product innovation, business process innovation, new-to-the-market product innovation, and new-to-firm (NTF) product innovation. However, the results showed that both R&D and non-R&D innovation cooperation activities have no significant effects on SMEs' financial performance indicators. This study contributes to research on SMEs' open innovation and provides insights for SMEs' managers and policymakers.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.108-115
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• 2022

Recently, consumers are showing interest in social and environmental issues. In addition, consumers are increasingly participating in meaning-out that give meaning to their consumption and express moral values. However, unlike the spread of meaning-out, existing studies are lacking. This study approaches meaning out, which has become a recent issue, from an experiential point of view, and aims to study how the experiential characteristics of meaning out affect psychological effects such as improvement of self-esteem and subjective well-being. First, we hypothesized that the experience of meaning out(feel, think, act, relate) had an effect on subjective well-being through improvement of self-esteem. We tested the hypothesis on a total of 197 data using the structural equation model. As a result, it was found that three experiences excluding 'feel' have a positive effect on the improvement of self-esteem, and and improved self-esteem had a positive effect on improving subjective well-being. This study expands existing studies and provides practical implications by confirming that meaning out has a positive psychological effect.

• Korean Association of Arts Management
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• no.52
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• pp.135-156
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• 2019

The purpose of this study is to derive more practical and concrete policy implications for the successful implementation of the Cultural City Designation Project, which is emerging as a main topic of cultural policy. To this end, the background and implementation system of the European Capitals of Culture(ECOC), which is the subject of benchmarking in various aspects, were examined. As a result, it was confirmed that there is a possibility that the Cultural City Designation Project can reveal its limitations in the background and process, and the improvement is as follows. First, rather than creating an ideal cultural city model to achieve its goals in a short period of time, efforts should be made to secure diversity and expand insufficient infrastructure in accordance with local autonomous decisions. Second, in order to secure the continuity of the business, it is necessary to secure and educate professional manpower for organizational operation in the form of independent or direct agency of each local government. Finally, careful policy consideration should be made at the national level to balance regional interests. Therefore, there is a need for an organized 'government-level organization' that can take on the role of the city selection process, support system, and ex post evaluation. In short, successful cultural city projects require critical acceptance and efforts to remedy fundamental problems rather than benchmarking unconditional overseas cases in terms of cultural policy.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.8
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• pp.301-312
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• 2018

This The main objective of the study is to examine success clues of the firm influenced by top manager(Masayoshi Sohn) who belongs to Korean-Japanese third generation diaspora. A company's management style depends greatly on the value of its top manager, who also affects success and failure of the firm. SOFTBANK's management style could be influenced by the identity and values of Masayoshi Sohn. The results of the study are as follows ; firstly, his firm remains born-global firm owing to his global value rooted from his de-ethnification and studying in America. Secondly, the firm has challenge spirit owing to his experience of overcoming discrimination and repression during childhood time. and his role model 'Ryoma". Thirdly, there is a roly poly spirit in his firm because he has overcome complex coming from Korean-Japanese third generation diaspora. Finally, his company has human-oriented management philosophy because he has influenced a lot form his grand mother, Won-Cho Lee who emphasized much on human-beings. His identity and values have infiltrated Softbank's management style, which has led to the success of the company. This study will provide you with different viewpoints on the study for Korean-Japanese third generation diaspora. Especially, this study can be meaningful in which it is a study on the third generation of Korean-Japanese diaspora and the global corporations he is running since there are few such studies up to now.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.1-19
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• 2023

Bikes have recently emerged as an alternative to carbon neutrality. To understand the demand for public bikes, we endeavored to estimate travel frequency of public bike by considering the intermediate stops. Using the GPS trajectory data of 'Ttareungyi', a public bike service in Seoul, we identified a stay point and estimated travel frequency reflecting population, land use, and physical characteristics. Application of map matching and a stay point detection algorithm revealed that stay point appeared in about 12.1% of the total trips. Compared to a trip without stay point, the trip with stay point has a longer average travel distance and travel time and a higher occurrence rate during off-peak hours. According to visualization analysis, the stay points are mainly found in parks, leisure facilities, and business facilities. To consider the stay point, the unit of analysis was set as a hexagonal grid rather than the existing rental station base. Travel frequency considering the stay point were analyzed using the Zero-Inflated Negative Binomial (ZINB) model. Results of our analysis revealed that the travel frequency were higher in bike infrastructure where the safety of bike users was secured, such as 'Bikepath' and 'Bike and pedestrian path'. Also, public bikes play a role as first & last mile means of access to public transportation. The measure of travel frequency was also observed to increase in life and employment centers. Considering the results of this analysis, securing safety facilities and space for users should be given priority when planning any additional expansion of bike infrastructure. Moreover, there is a necessity to establish a plan to supply bike infrastructure facilities linked to public transportation, especially the subway.

• 한국체육학회지인문사회과학편
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• v.57 no.6
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• pp.123-134
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• 2018

The purpose of this study is to analyze the economic efficiency of the policy implemented by Ministry of Culture, Sports and Tourism on leading company in sport industry. The leading companies in sport industry are those who have a certain amount of sales in sport industry and the ones with potential to become global companies. Supporting areas include business advancement, overseas market development, and overseas PR marketing integration support. The research is performed by developing the equilibrium model composed of supply as well as demand and applying input-output analysis. The economic efficiency is estimated to in the form of changes in the sales of corporations and the ripple effect of the national economy. The results of the study are as follows. First, it is estimated that the sales growth rate of the company due to the implementation of the policy is from 3.74% to 5.19%. Second, the increase in sales reaches to a maximum of KRW 4,081 billion with a minimum of KRW 1,573 million, depending on the size of the company. Third, it is estimated that the production inducement effect for the national economy is from KRW 36 billion to KRW 93.4 billion. Fourth, the induced value added for the national economy is estimated to be at least KRW 11.3 billion, up to KRW 29.2 billion.