송치훈 교수
Chi-Hoon Song
한양대학교 국제학부 · 의사결정과학
연구실 소개
송치훈 교수의 연구실은 기술 수용과 디지털 전환을 중심으로, 특히 클라우드 컴퓨팅, 모바일 앱 시장, 전자 문서 인증 서비스 등 신기술의 개인 및 기업 수용 메커니즘을 심층적으로 분석하고 있습니다. 기술 수용 이론(예: UTAUT, 보호 동기 이론)을 기반으로 신뢰, 위험 인식, 의존성, 사회적 영향 등 심리적·조직적 요인의 영향을 실증적으로 규명하며, 특히 보안과 신뢰가 기술 수용에 미치는 핵심 역할을 중심으로 연구를 전개하고 있습니다. 또한 유통 분야의 기업 간 관계와 전략적 결정 요인에 대해서도 실증 연구를 통해 기업 성과에 영향을 미치는 요인을 규명하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15We explored the precise impacts of trust and perceived risk on the core constructs of the unified theory of acceptance and use of technology (UTAUT). We applied the UTAUT model to the novel context of the Certified e-Document Authority (CeDA) service used in the Republic of Korea. Our results from structural equation modeling largely supported our hypotheses. Trust and perceived risk were shown to be direct antecedents of intention to use, and trust functioned as an indirect antecedent. Performa
As cloud computing has spread from the enterprise sector to individuals, there has been a growing need for research on the adoption of cloud computing at the individual level. However, relatively little research has investigated the differences and similarities between users and nonusers regarding the individual-level technology acceptance. To fill this gap, this study explored the differences and similarities between users and nonusers in the context of public cloud storage services of South Ko
Abstract Cloud computing (CC) has many benefits, so its use has spread rapidly, particularly in the business sector. An important consideration in the acceptance of CC is whether the CC system is dependable, and it can differ among industry and service type. However, little research has considered the effect of dependability (composed of availability , reliability , security , maintainability ) on CC acceptance. Especially, group comparisons between high IT-intensive (Hi-ITi) and low IT-intensiv
A rapid growth of the mobile app market has been identified as a key driver of the successful proliferation of the mobile devices such as smartphones and tablet devices. In this paper, we identify the success factors that contribute to the sales of mobile apps, grounded on the word-of-mouth literature. While open innovation is generally accepted as an effective solution for traditional goods development, the optimal platform choice for app development is not yet justified. Given this controversy
Cloud computing is spreading rapidly, but little research has been conducted to understand the effects of the protective perspective on acceptance by individuals. The goal of this study was to explore the impact of protective behavior on individuals’ adoption of cloud computing. Specifically, the study will concentrate on personal cloud storage service (CSS), widely recognized as a protective technology. Our theoretical framework endeavored to combine protection motivation theory with the extend
Key account management (KAM) is an approach adopted by manufacturers to build strong relationship with their key accounts. To build strong relationship manufacturers offer their key accounts tailored product/service packages on a continuing basis. Because of technological changes and emergence of larger retailers, the importance of key accounts to manufacturers are increasing. However, related research about key account management is still rare in domestic market setting. Our study focused on th
소매과점화 현상은 제조업체의 대형유통업체에 대한 의존성을 심화시키고, 제조업체의 힘의 약화를 가져오며, 그로 인해 유통경로 상에서 다양한 갈등문제를 유발할 수 있다. 소매과점화에서 시작된 갈등 중 대표적인 것으로 제조업체와 대형유통업체간의 판매사원 파견에 대한 입장 차이를 들 수 있다. 판매사원 파견이 증가함에 따라 제조업체와 유통업체 간의 대립은 심해지고 있다. 이에 따라 본 연구는 제조업체의 대형마트 판매사원 파견의 원인을 설명할 수 있는 두 가지 이론을 제시하고, 판매사원의 파견이 제조업체의 성과에 미치는 영향을 규명하고자하였다.BR 제시된 모델을 실증하기 위하여 가전제품, 식음료, 생활용품 산업에서, 15개 기업의 마케팅 담당 직원을 대상으로 데이터를 수집하였다. 실증결과 자원의존이론 관점에서 선정한 채널유대는 제조업체의 판매사원 파견에 영향을 미치는 것으로 나타났으며, 제조업체의 브랜드 평판과 제품의 복잡성이 채널유대에 영향을 미치는 것으로 나타났다. 힘-의존이론 관점에서
This is raw data for empirical study, “Acceptance of Public Cloud Storage Services in South Korea: A multi-Group Analysis”. This study amied to explore the differences and similarities between users and nonusers in the context of public cloud storage services of South Korea. 526 samples in South Korea were collected through an online survey. Data (users = 210; nonusers = 187) were analyzed using structural equation modeling. SmartPLS 3.0 tool was used for data analysis with a proposed research m
This is raw and analysis data for empirical study, entitled entitled “Analysis of Users and Non-users in Technology Acceptance: From the Perspectives of Public Cloud Storage Services in South Korea”. This study amied to identify the differences between users and non-users at the individual level in relation to accepting public cloud storage services (PCSSs) in South Korea. Our focus is individual- level technology acceptance in environments where use of PCSSs is voluntary. A total of 397 samples
The goal of this study was to identify factors that determine the acceptance of cloud computing (CC), by integrating dependability attributes with the technology acceptance model. Simultaneous application of structural equation modeling (SEM) and machine learning (ML) indicates that availability, reliability and maintainability are direct predictors of CC acceptance, but security is not. Availability and reliability act as antecedents on the usefulness and the ease of CC, but the effect of secur
This is analytical proofs and raw data for research article, “The Influence of Dependability in Adopting Cloud Computing: Focus on Similarities and Differences by IT Intensity and Service Type”. The original study explored the role of a multi-faceted dependability in cloud computing adotion, focusing on clarifying the similarities and differences by IT intensity (by industry) and service type. This article is consists of analytical proofs, measurement items, analytic tables, and raw data. Files
This article includes analytical results an raw data for our research. Using the technology acceptance model (TAM) and dependability theory, this study seeks the predictors of organizational-level adoption of cloud computing (CC) by combining structural equation modeling (SEM) and an artificial neural network (ANN) to analyze data collected by an online survey in South Korea. The dataset consists of two hundred thirty valid responses of managers in various organizations using cloud computing. Th
This study explores how the threat of data loss can affect an individual’s intention to adopt personal cloud storage service as protection against data loss. The methods integrate protection motivation theory with the extended unified theory of technology acceptance model. Threat (i.e., perceived severity and perceived vulnerability) did not directly affect behavioral intent, but mostly acted as an antecedent of other cognitive variables (e.g, performance expectancy, response efficacy). Especial
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