Drivers and inhibitors of SaaS adoption in Korea

The concept of software as a service (SaaS) has received considerable attention in recent years, and an increasing number of countries have consequently promoted the SaaS market. However, those countries without mature SaaS markets have experienced many SaaS-related problems. To facilitate SaaS adoption, we first analyzed Korea's newly established SaaS market. We then employed a method based on the two-factor theory in order to classify the SaaS market into adoption-driving and adoption-inhibiting areas. From the adoption-driving area perspective, the results of the method demonstrate the validity of the consumerization phenomenon and the PEST analysis. Customer factors in the consumerization phenomenon and economic factors in the PEST analysis were the most important drivers of SaaS adoption. From the adoption-inhibiting area perspective, customer factors as well as supplier and environment factors inhibited SaaS adoption; according to the PEST analysis, social, economic and political factors inhibited SaaS adoption. These results have important implications for Asian countries with newly established SaaS markets, including Australia, China and Singapore.     

Anticipated IT infrastructure and supply chain integration capabilities for RFID and their associated deployment outcomes

This study looks at the perceived ability of components of IT infrastructure integration and supply chain process integration to predict specific radio frequency identification (RFID) system deployment outcomes—exploration, exploitation, operational efficiency, and market knowledge creation. Data for this pilot research study was collected using a survey questionnaire administered online to members of the Council of Supply Chain Management Professionals (CSCMP). It was hypothesized that data consistency and cross-functional application integration, both elements constituting IT infrastructure integration, and information flow integration, physical flow integration, and financial flow integration, all elements constituting supply chain process integration would be positively associated with and predict the four RFID system outcomes. Multiple regression results show partial support for all four proposed hypotheses. Cross-functional application integration and financial flow integration predicted exploration, while data consistency and physical flow integration predicted exploitation. Data consistency and cross-functional application integration, on the other hand, predicted both operational efficiency and market knowledge creation. Supply chain managers planning to deploy RFID systems are alerted to the criticality of these IT infrastructure issues as they brace for a likely widespread implementation of RFID in supply chains they participate in.     

中国高校教师对网络教育的创新－决策行为及他们对网络教育属性的认识

本研究的目的是为了了解中国农业大学教师对网络教育的创新-决策行为与他们对网络教育五项属性(相对优势、相容性、复杂性、可试验性、和可观察性)的认识之间的相互关系。本研究的理论基础是Rogers的创新-决策过程模型和创新属性理论。本研究采用的是定量研究,研究结果用统计数据的方式来描述。结果表明,(1)70%的参与问卷的教师(总人数=273)仍处于网络教育创新-决策过程的早期阶段(“无认知”、“认知”、或“说服”阶段),仅30%的老师处在后期三个阶段性(“决策”、“实施”、或“确认”阶段);(2)中国农大教师同意网络教育五项属性的存在;(3)教师对网络教育的创新-决策行为对他们认识网络教育相对优势属性的影响统计意义上不显著,但是,教师对网络教育相对优势、相容性、复杂性、可试验性、和可观察性属性的认识因他们对网络教育的创新-决策行为而有统计意义上的显著不同,整体而言,在网络教育创新-决策过程中所处阶段越靠后的教师对网络教育以上四项属性的认同越强烈。     

Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application

Understanding the main determinants of Internet banking adoption is important for banks and users; our understanding of the role of users’ perceived risk in Internet banking adoption is limited. In response, we develop a conceptual model that combines unified theory of acceptance and use of technology (UTAUT) with perceived risk to explain behaviour intention and usage behaviour of Internet banking. To test the conceptual model we collected data from Portugal (249 valid cases). Our results support some relationships of UTAUT, such as performance expectancy, effort expectancy, and social influence, and also the role of risk as a stronger predictor of intention. To explain usage behaviour of Internet banking the most important factor is behavioural intention to use Internet banking.