Soo Jung Oh
Hanyang University · 経営学
研究室紹介
Professor Soo Jung Oh's research lab focuses on the intersection of information technology, innovation management, and business ecosystem development, with a strong emphasis on how digital technologies and strategic capabilities influence firm performance and innovation. The lab investigates the role of IT capabilities, e-procurement systems, and ICT in enhancing supply chain and organizational performance, particularly in manufacturing and SME contexts. It also explores entrepreneurial orientation, open innovation, and the strategic creation of business ecosystems—exemplified by case studies such as Universal Robots in collaborative robotics. The lab combines empirical analysis with case study methodologies to uncover mechanisms driving innovation and performance in technology-intensive industries.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Even though the disruption of axonal transport is an important pathophysiological factor in neurodegenerative diseases including Alzheimer's disease (AD), the relationship between disruption of axonal transport and pathogenesis of AD is poorly understood. Considering that α-tubulin acetylation is an important factor in axonal transport and that Aβ impairs mitochondrial axonal transport, we manipulated the level of α-tubulin acetylation in hippocampal neurons with Aβ cultured in a microfluidic sy
AbstractFirms need to find a proper fit between their own information technology (IT) capabilities and IT systems in order to enhance performance. Thus, the purpose of this paper is to examine the moderating effect of certain e-procurement system types on the relationship between IT capabilities and firm performance. Moderated regression analysis is used to test for interaction effects of IT capabilities, including collaboration capability and dynamic capability, and e-procurement system types i
Purpose – The purpose of this paper is to analyze what kind of role each type of e‐marketplace has on the relation between relational advantages of e‐marketplace and company performance.
This study presents how a small and medium-sized company has successfully created a new sector through constructing a business ecosystem. Drawing upon interviews and secondary data, this case study explains how Denmark’s Universal Robots (UR) launched the collaborative robotics sector by constructing a business ecosystem that included producers of peripherals, system integrators and distributors in the industrial robotics industry. In forging the path towards collaborative robotics, UR introduce
Information and communication technology (ICT) has emerged as a significant basis for improving the supply chain. Reports are, however, often conflicting about its effects on firm performance. In order to better assess the contribution of ICT on firm performance from the supply chain management perspective, we propose a research model to investigate the interaction effects of ICT and supply chain capabilities on firm performance. We test the research model with regression analysis on field surve
Industry 4.0 is revolutionizing supply chain management, prompting a significant shift toward Supply Chain Management 4.0 (SCM 4.0). This transformation facilitates traditional supply chains evolving into platform-based ecosystems, thereby fundamentally redefining the processes of value creation, delivery, and capture. This study recognizes the divergence in empirical research between supply chains and ecosystems and aims to integrate these research streams by focusing on technological platforms
Purpose This study investigates the effect of entrepreneurial orientation and government support on the innovation openness of South Korean manufacturing firms. By compartmentalizing entrepreneurial orientation and government support, this study seeks to elucidate their effects on the breadth and depth of firms' knowledge searches. Design/methodology/approach The study utilizes Poisson regression analysis with empirical data from 2,353 South Korean manufacturing firms collected from Korean Innov
The purpose of this study is that analyzing the causal relationship between Infra, Process and Performance of companies which are executing the Supply Chain Quality Management(SCQM) with their subcontractors and partners. Korean Standards Association(KSA) provides the Supply Chain Quality Management Model and Quality Collaboration Index for 4 years, but a few study has investigated the critical variables and their causal relationship to organizational performance. Therefore we examine the SCQM m
With the recent introduction of supply chain management (SCM), quality management has extended from within companies to between companies. As a result, supply chain quality management (SCQM) has received increased attention. However, existing SCQM studies only focus on what impact quality control in supply chains have on company performance while virtually no studies examine quality control efficiencies. This paper, therefore, evaluated the SCQM efficiency of a parent company and its partner com
The contributions of market-seeking and strategic resource-seeking motives to firms’ internationalization have been widely recognized. However, previous studies have paid scant attention to how firms’ strategic behavior regarding capacity-based searches can differ in certain contexts. Thus, little is known about the effect of the relationship between ownership and capacity-based searches on venture firms’ internationalization. Drawing on the behavioral theory of the firm, we identify the relatio
인공지능(Artificial Intelligence, AI) 산업은 4차 산업혁명의 핵심이 되는 고부가가치 첨단기술 산업으로서 미 래 국가경제를 주도할 신성장 동력으로 크게 주목받고 있다. 본 연구는 트리플 힐릭스(triple helix) 이론적 모형 을 활용하여 국내 인공지능 혁신체제(AI innovation system)의 기업-대학-정부출연연구소(산학연) 구조 및 동태 성(dynamics) 정도를 분석하여 미래 인공지능 산업 육성과 산업 생태계 조성을 위한 발전방향을 제시하였다. 이 를 위하여, 본 연구는 산학연 간의 공동특허출원 분석과 특허 협력네트워크 분석을 수행하였다. 분석결과, 현재 국내 인공지능 혁신체제의 모형은 트리플 힐릭스 II 모형에 해당하는 것으로 나타났으며 향후 우리나라가 인공 지능 산업을 성공적으로 발전시키기 위해서는 트리플 힐릭스 III 모형으로의 전환 노력이 필요하다고 할 수 있다.
Digital platform-based ecosystems have reshaped innovation processes worldwide with an increasing degree of dispersion of innovative agents. This paper matches global value chain (GVC) boundaries to the boundaries of technological platforms to explain the location of R&D and innovation in the GVC. We apply this analysis to three industries of automotives, electronics and robotics, displaying differing technological platform types and boundaries in South Korea that has transitioned from low to mi