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KCI Impact Factor(2022)

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Latest Articles

Vol.13 No.1

7papers in this issue.

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Abstract

Purpose: As part of the ongoing research on the mobile tourism industry, the purpose of this study was to identify the satisfaction and purchasing behavior of users of the Korail Tourism Development tourism product app, a public corporation specializing in rail tourism, and to seek countermeasures in response to the recent growth of the smartphone mobile tourism app market. Research design, data and methodology: A total of 288 questionnaires were used for the analysis, excluding the missing ones, out of 300 questionnaires collected after the online survey was conducted for five weeks from October 21 to November 30, 2024 for customers who used the mobile app of Korail Tourism Development's tourism products. The statistical program SPSS 22.0 was used to analyze the reliability and validity of the measurement items and the correlation between each variable through exploratory factor analysis. Results: Among the components of service quality of railroad tourism mobile apps, informativeness, convenience, responsiveness, and reliability were found to have a significant effect on customer satisfaction, but functionality and accessibility had no statistically significant effect. In addition, customer satisfaction with railroad tourism mobile apps was found to have an effect on reuse intention. Conclusions: Based on the results of this study, we propose implications for establishing a strategy for sustainable management of KORAIL Tourism Development, a public corporation specializing in rail tourism. Theoretically, it laid the foundation for the study of mobile app service quality in the field of railroad tourism, and practically, it was concluded that railroad tourism mobile apps should be developed to be easy and convenient to use, and that accurate information of travel products and stable services should be provided when using the app.

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Abstract

Purpose: This study aims to analyze the trends in elderly welfare research in South Korea from 1979 to 2024, using BERTopic, an advanced text-mining technique that facilitates the automatic extraction and visualization of research topics. The rapid aging of South Korea's population has resulted in social and healthcare challenges, making research on elderly welfare increasingly critical. Design/methodology/approach We collected English abstracts from the ScienceON database provided by the Korea Institute of Science and Technology Information (KISTI). BERTopic was applied to extract 28 initial topics, which were later clustered into eight major topics, including Social Care, Mental Health, and Welfare Systems. Linear regression analysis was also performed to determine hot and cold topics over time. Results: The findings indicate an increasing trend in research focusing on Social Care, Mental Health, and Welfare Systems, suggesting a shift in emphasis towards more integrated, community-based, and psychosocial approaches to elderly welfare. Topics such as Culture/Values, Nutrition/Health Management, and Facilities/Housing have declined in importance, indicating a change in focus from physical health management to mental and social well-being. Conclusions: The use of BERTopic allowed for a sophisticated and objective analysis of research trends in elderly welfare. Academically, the findings show that elderly welfare research has evolved from fragmented approaches to more integrated research covering social care and mental health. From a policy perspective, the findings confirm a paradigm shift from facility-based to community-based approaches, emphasizing the need for integrated care that includes mental and social well-being. This suggests that future policy development should prioritize resource allocation to social care and mental health support.

Chiranjibi GAUTAM(Hannam University) ; Birendra Narayan SHAH(Gangseo University) pp.23-30 https://doi.org/10.2048/jemm.2024.13.1.23
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Purpose: This study examines the relationship between fertility rate and economic growth in developing countries. It explores the inverse J-shaped relationship between total fertility rates and GDP per capita and the U-shaped relationship between total fertility rates and female labor force participation. Methodology: The study utilizes panel data from 117 developing countries from 2000 to 2022. The Generalized Method of Moments (GMM) is employed to derive empirical results. Result: The empirical results support the inverse-J-shaped and U-shaped relationships. The findings suggest that a fertility rebound could be possible if income levels and female labor force participation are sufficiently high. Furthermore, we have identified the GDP per capita threshold that marks the turning point in fertility trends within developing countries. Conclusion: Policymakers can use this information to tackle the issue of declining fertility rates. The observed inverse-J-shaped and U-shaped relationships suggest that economic growth alone may not be adequate to sustain fertility rates. Consequently, strategies aimed at raising income levels become crucial. This can be achieved through targeted investments in women's education and training, which enhance job prospects and increase income levels, thereby contributing to a sustainable fertility rate.

Byung Jo HWANG(Kyonggi University) ; Yong Sung LEE(Sejong University) ; Hee Young CHO(Sejong University) pp.31-46 https://doi.org/10.2048/jemm.2025.13.1.31
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Purpose: The purpose of this study is to understand the effect of consumer acceptance of retailtech AI service on perceived value and behavioral intention, using the Unified Theory of Acceptance and Use of Technology. Research design, data, and methodology: We conducted an online survey of retailtech AI service users in their 20s to 50s in Korea, and verified the research hypotheses using SPSS and AMOS. Results: First, we found that the acceptance of retailtech AI service consumers (in order of performance expectancy, social influence, effort expectancy, and facilitating conditions) has a significant positive effect on perceived value. Second, we found that the perceived value of retailtech AI service consumers has a significant positive effect on behavioral intention. Conclusions: Academically, this study clarified the conceptual definitions to understand the practical implications of retailtech under Retail 4.0. It also identified the effect of consumer acceptance of retailtech AI service on perceived value and behavioral intention. Practically, since one of the main reasons for the acceptance of retailtech AI service is to improve customer experience, we suggest that company should shift their business model to interactive e-commerce, which provides AI services related to product search, counseling, and product recommendations using Generative AI to improve shopping performance and convenience.

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Purpose: This study explores the impact of airport accessibility and lifestyle convenience on residential satisfaction and recommendation intention in airport-adjacent areas. Airports play a vital role in enhancing transportation efficiency and lifestyle convenience, influencing residents' satisfaction and preferences. Research design, data and methodology: Using a survey-based approach and multiple regression analysis, this study examines two models: Model 1 analyzes residential satisfaction, and Model 2 focuses on recommendation intention. Results: Model 1 results show that commercial/convenience facilities (B = 0.438, p < 0.001) and connectivity to highways and subways (B = 0.296, p = 0.001) significantly enhance residential satisfaction. Conversely, airport proximity (B = -0.302, p < 0.001) and medical/educational facilities (B = -0.227, p = 0.004) negatively affect satisfaction. Model 2 reveals similar findings, with connectivity (B = 0.389, p < 0.001) and commercial facilities (B = 0.312, p = 0.001) positively influencing recommendation intention. Demographic factors, such as age and income, show varied impacts on satisfaction and recommendation intention. Conclusions: The study highlights the need to improve transportation accessibility, expand lifestyle convenience, and address proximity-related challenges like noise and congestion. These findings provide actionable strategies for policymakers and urban planners to enhance living conditions and promote sustainable development in airport-adjacent areas.

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Purpose – The primary objective of this study is to investigate the relationships among heuristics, shopping value, purchase intention, and the decision-making processes of e-commerce consumers. Additionally, we aim to identify distinct purchasing decision strategies based on varying levels of psychological empowerment. Research design, data, and methodology – This study investigates the relationships among heuristics, shopping value, purchase intention within a structured model, further examining the moderating effect of psychological empowerment on these relationships. A total of 233 valid questionnaires were collected from e-commerce users. For data analysis, this study employed confirmatory factor analysis, correlation analysis, and structural equation modeling to test the hypothesized relationships. Results – Our findings discovered that specific heuristic types partially influence perceived shopping value, which, in turn, significantly impacts purchase intention. Moreover, the relationships among heuristics, shopping value, and purchase intention were moderated by levels of psychological empowerment. Conclusions – Firms need to identify consumer purchase decision types and develop management strategies tailored to the perceived shopping value and levels of psychological empowerment experienced by consumers during the purchasing process.

Jooyeol MAENG(DI School of Public Policy and Management) ; Yooncheong CHO(DI School of Public Policy and Management) pp.69-78 https://doi.org/10.2048/jemm.2025.13.1.69
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Purpose: This study aims to explore the factors that impact citizens’ attitudes in South Korea’s living labs, using quantitative research – an area that has been rarely addressed in previous research. The proposed factors include citizen participation, real-life conditions, multi-method approach, co-creation processes, locality, openness to the public, and the impacts on the economy, society, and the environment. Research design, data and methodology: This study conducted an online survey with the assistance of a well-known research firm. Factor and regression analysis were applied to analyze the data. Results: The results indicated that factors including real-life condition, locality, and environmental impact significantly influences attitudes toward living labs. This suggest that citizens’ perceptions of living labs focused on improving quality of life, particularly addressing real-life conditions, locality, and environmental value have a meaningful effect on their attitude toward participation. Conclusions: These findings offer valuable policy and managerial implications. Policies should emphasize the importance of citizen engagement in living labs to address social issues, using innovative and diverse problem-solving approaches. Additionally, improved management strategies are needed to encourage meaningful citizen contributions, particularly through collaborative efforts. Concerted actions are essential to bridge the awareness gap and ensure that citizens are well-informed and actively engaged in living lab projects.

The Journal of Economics, Marketing and Management