Advances in wireless networking and the Internet move us toward ubiquitous and embedded computing. Ubiquitous and embedded computing enhances computer use by making computers available throughout the physical environment while making them effectively invisible to the user. In the ubiquitous and embedded computing era, computers in the traditional sense gradually fade, and information mediated by computers is available anywhere and anytime through devices that are embedded in the environment. Radio Frequency Identification (RFID) is one of the key technologies of the ubiquitous and embedded computing era. RFID is a technology used to identify, track, and trace a person or object and enables the automated collection of important business information. RFID minimizes human intervention in the person and object identification process by using electronic tags and is expected to complement or replace traditional barcode technology. RFID is a highly beneficial technological advancement which ultimately may change the way of doing business. This study examines the RFID adoption decision process and proposes a model predicting the likelihood of adopting RFID within organizations in the healthcare industry. A considerable number of studies have been conducted regarding organizational information technology (IT) adoption, but the nature of the organizational IT adoption process is still not well understood. It is even posited that the only consistency found in the organizational adoption literature is the inconsistency of research results. The inconsistency of results is partially explained by changes in technological, organizational, and environmental statuses. Therefore, factors explaining traditional IT adoption may not justify RFID adoption and should be revisited and revalidated. In addition, given the ongoing importance of RFID, it is very important to identify the unique factors that contribute to the likelihood of adopting RFID. In this study, an organizational RFID adoption model is proposed and empirically tested by a survey using a sample of 865 senior executives in U. S. hospitals. The model posits that three categories of factors, technology push, need pull, and decision maker characteristics, determine the likelihood of adopting RFID within organizations. The relationships between those three categories and the likelihood of adopting RFID are strengthened or weakened by organizational readiness. This study may serve as the theoretical and empirical basis for research on other forms of ubiquitous and embedded computing systems.

Digital startup firms are key actors in innovation landscapes and a viable part of the Swedish tech industry. They operate within hypercompetitive environments, which are dynamic and volatile due to the nature of digital technologies. However, startups often face challenges such as limited resources in terms of finances, skills, and knowledge that affect their preconditions for innovation. Previous research has failed to address the unique characteristics and required management competencies of startups engaged in digital innovation. We aim to contribute to the field of IS and digital innovation, but also provide deeper insights for new startups on how to manage digital innovation. Therefore, we explore the following research question: how do digital startups manage innovation? We have conducted a multiple case study and our findings included two different approaches for digital innovation management in startups - knowledge-push and need-pull. Our findings suggest that these different approaches to digital innovation management affect several activities within the startups. These are: strategic use of data, value creation, financial resources, knowledge-sharing/capabilities, and networking. Further, we suggest practical implications for startups and suggestions for future research.