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Timely diffusion of IT products is critical to the success of technology companies. However, many IT products fail to attain the critical mass required for profitability. Although several studies have identified perceived usefulness as the primary factor in IT adoption, statistics indicate that some Korean consumers avoid IT products despite understanding their utility. This study empirically examines the effects of perceived risks and switching barriers on Korean non-adopters’ intention to use smartphones. The results indicate that the intention to use smartphones is generally influenced by perceived usefulness, financial risk, and cost effectiveness. Those who choose to avoid smartphones despite perceiving their usefulness have additional concerns regarding the perceived non-attractiveness of other service providers. This study samples non-adopters and analytically compares individuals with high levels of smartphone utility perception and varying levels of smartphone usage intention, thereby providing insights to organizations for customizing products and marketing approaches to tap into this market niche.

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Big data is expected to provide many benefits to healthcare organizations through cost reduction, disease prediction, and patient care improvement. Big data in healthcare at a nascent stage faces many challenges in satisfying expectations. This study investigates factors for promoting the implementation and usage of big data in healthcare in Korea, using an analytical hierarchy process (AHP). We established a research framework that considers four domains and 15 factors. We collected data by a survey of experts engaged in big data and healthcare IT. The results show that data and organization have greater impacts than technology and support domains. Organizational analytics capability, data quality, data privacy and security, organizational application capability, data standardization, and data experts are the most important factors for promoting the implementation and usage of big data in healthcare. The study presents the implications in terms of the policies and ecosystem for countries, including Korea, which intend to activate big data in healthcare.