Asian Journal of Innovation and Policy, Asian Society for Innovation and Policy

PDF Citaion Analysis of Korean Electric Vehicle Research Trends Using Patent Data: Focusing on Network Analysis

Chunghyun Do ; Yongjin Kim pp.1-22 https://doi.org/10.7545/ajip.2025.14.1.001

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Abstract

As reducing greenhouse gas emissions and responding to climate change have emerged as important global tasks, electric vehicles (EVs) are becoming increasingly important. While research on EVs is expanding, studies that systematically analyze the structural characteristics of EV technologies and the interaction between research topics remain limited. This study aims to identify the structural characteristics and key technologies of the EV network by conducting a network analysis in South Korea from 2011 to 2022. Specifically, the study utilizes structural indicators such as network density, transitivity, mean distance, and network diameter. Additionally, network centrality indicators such as degree, betweenness and closeness centrality were used. Theoretically, this study is meaningful because various indicators used in network analysis are applied to the EV field. Practically, it is expected to guide the establishment of long-term investment and support strategies in key areas for Korean EV-related policy formulation and industrial strategy development.

PDF Citaion Entrepreneurship Development, Micro, Small, and Medium Enterprises (MSME), and Women Empowerment: An Empirical Investigation

Anasuya Barik ; Sidheswar Panda ; Swapnamoyee Palit pp.23-42 https://doi.org/10.7545/ajip.2025.14.1.023

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Abstract

This study examines the impact of MSMEs on women empowerment in Odisha, India. To measure women empowerment, this study exploits five parameters, namely, household empowerment, economic empowerment, social empowerment, political empowerment, and personal empowerment as their decision-making ability in various aspects of life. This study utilizes a structured questionnaire to accumulate information from women entrepreneurs. The primary data has been collected from 300 respondents (women entrepreneurs in MSMEs) from the twin cities - Cuttack and Bhubaneswar in Odisha. This study uses the methods exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to examine and analyze the latent form. The study first used EFA to examine the structure and many dimensions of women empowerment and then CFA to check the suitability and generalizability of the found factor structure. By using exploratory and confirmatory factor analysis, this study finds a valid and reliable five-dimensional concept of women empowerment in Odisha.

PDF Citaion Quality, Satisfaction, and Continuance Usage Intention of Mobile Payment Services in South Korea

Noshin Mustafa Mou ; Hae Kyung Yang pp.43-62 https://doi.org/10.7545/ajip.2025.14.1.043

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Abstract

This study investigates how different dimensions of quality affect user satisfaction and trust, and how these, in turn, influence users’ intention to continue using Mobile Payment Services (MPS) in South Korea. Combining the Information-System-Service Quality (ISS) and Stimulus-Organism-Response (SOR) models, we explore the cognitive mechanisms that shape users’ post-adoption behaviours. Our findings show that the system and service quality of MPS significantly contribute to user satisfaction, which positively influences the intention to continue using these services. Our results offer insights for MPS providers in South Korea to better tailor their services to market needs and highlight the need for policymakers to establish inclusive legal frameworks that enhance user security and support the technological standards of MPS platforms.

PDF Citaion Economic Valuation of Smart Water Infrastructure: A Contingent Valuation Method Approach

Kyung Jae Lee ; Kyung Se Min ; Han Ju Choi ; Jong Hoon Park pp.63-83 https://doi.org/10.7545/ajip.2025.14.1.063

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Abstract

This study estimates the economic value of smart water infrastructure using the contingent valuation method (CVM). A double-bounded dichotomous choice format was employed to assess household willingness to pay (WTP) for four digital water technologies, including pipeline digital twin, AI-based purification, treatment plant digital twin, and asset management systems. Based on a nationwide online survey of 1,400 respondents, a bivariate probit model was applied to jointly analyze sequential responses and to derive statistically valid WTP estimates. The analysis confirms that users assign substantial economic value to digital water technologies, suggesting strong consumer support for digital transformation in water services. These findings provide empirical justification for long-term infrastructure investment and offer practical implications for rate-setting and policy design that reflect public preferences and perceived benefits.

PDF Citaion Economic Analysis of the 6th Industrialization Policy in Rural Areas: Case of South Korea

Jonghoon Park pp.84-102 https://doi.org/10.7545/ajip.2025.14.1.084

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Abstract

This study analyzes the performance of Korea’s Sixth Industrialization Policy in rural areas and provides policy implications. Utilizing input-output tables from the Bank of Korea and applying a Computable General Equilibrium (CGE) model, various policy scenarios were simulated. The results indicate that increases in labor demand and government consumption expenditure significantly impact both primary and tertiary sectors. A comparative analysis of different industrial linkage types—primary only, primary-secondary, primary-tertiary, and full three-sector integration—reveals that injecting subsidies or capital into the primary sector alone yields limited economic effects. In contrast, linkages involving secondary and/or tertiary sectors generate greater policy impacts. These findings highlight the need to shift from primary-sector-focused support toward multidimensional strategies that promote cross-sectoral linkages. Future rural policies should be designed to foster integrated value chains rather than relying solely on direct support for agriculture.

PDF Citaion Public-Sector HPC Support in the AI Era: Policy Lessons from Korea’s Innovation Support Program

Hyungwook Shim Hyungwook Shim ; Suh Minho Suh Minho pp.103-114 https://doi.org/10.7545/ajip.2025.14.1.103

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Abstract

This study examines Korea’s HPC Innovation Support Program, a public initiative that provides computational resources through Grand Research and Creative Research tracks. The program has broadened national research capacity but also reveals disparities, with strong utilization in fields such as earth sciences and chemistry and relatively low use in electrical and electronic engineering. These imbalances suggest the need for complementary measures including training, software support, and interdisciplinary collaboration. Beyond resource provision, the program represents an institutional mechanism for balancing equity and competitiveness in Korea’s research ecosystem. Although smaller in scale than HPC policies in the United States, Japan, or China, its transparent and structured procedures offer a meaningful benchmark model. Ultimately, the program should be seen not only as a technical infrastructure but as a strategic policy tool that strengthens equity, efficiency, and international competitiveness in the global AI–HPC era.

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