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- All Subjects: Information Technology
- All Subjects: Information Assurance
- Genre: Doctoral Dissertation
- Creators: Furukawa, Michael F.
- Member of: ASU Electronic Theses and Dissertations
- Status: Published
Description
A long tradition of adoption of innovations research in the information systems context suggests that innovative information systems are typically adopted by the largest companies, with the most slack resources and the most management support within competitive markets. Additionally, five behavioral characteristics (relative advantage, compatibility, observability, trialability, and complexity) are typically associated with demand-side adoption. Recent market trends suggest, though, that additional influences and contingencies may also be having a significant impact on adoption of innovative information systems--on both the supply and demand-sides. The primary objective of this dissertation is to extend our theoretical knowledge into a context where consumer influence is a key consideration. Specifically, this dissertation focuses on the Personal Health Record (PHR) and patient portal market due to its unique position as a mediator between supply (ambulatory care clinic) and demand-side (patient and health consumer) interests. Four studies are presented in this dissertation and include: 1) an econometric examination of the contingencies associated with supply-side (ambulatory care clinic) adoption of patient portals, 2) a behavioral assessment of patient PHR adoption intentions, 3) an integrated latent variable and discrete choice evaluation of consumer business model preferences for digital services (PHRs), and 4) an experimental evaluation of how digital service (patient portal) feature preferences are impacted by assimilation and contrast effects. The primary contribution of this dissertation is that adoption (and adoption intentions) of consumer information systems are significantly impacted by: 1) supply-side adoption contingencies (even when controlling for dominant-paradigm adoption of innovation characteristics), and 2) demand-side consumer preferences for business models and features in the context of assimilation-contrast (even when controlling for individual differences). Overall, this dissertation contributes a new understanding of how contingent factors, consumer perceived value, and assimilation/contrast of features are impacting adoption of consumer information systems
ContributorsBaird, Aaron (Author) / Santanam, Raghu T (Thesis advisor) / Sinha, Rajiv K (Committee member) / Furukawa, Michael F. (Committee member) / Arizona State University (Publisher)
Created2012
Description
In this dissertation, two interrelated problems of service-based systems (SBS) are addressed: protecting users' data confidentiality from service providers, and managing performance of multiple workflows in SBS. Current SBSs pose serious limitations to protecting users' data confidentiality. Since users' sensitive data is sent in unencrypted forms to remote machines owned and operated by third-party service providers, there are risks of unauthorized use of the users' sensitive data by service providers. Although there are many techniques for protecting users' data from outside attackers, currently there is no effective way to protect users' sensitive data from service providers. In this dissertation, an approach is presented to protecting the confidentiality of users' data from service providers, and ensuring that service providers cannot collect users' confidential data while the data is processed or stored in cloud computing systems. The approach has four major features: (1) separation of software service providers and infrastructure service providers, (2) hiding the information of the owners of data, (3) data obfuscation, and (4) software module decomposition and distributed execution. Since the approach to protecting users' data confidentiality includes software module decomposition and distributed execution, it is very important to effectively allocate the resource of servers in SBS to each of the software module to manage the overall performance of workflows in SBS. An approach is presented to resource allocation for SBS to adaptively allocating the system resources of servers to their software modules in runtime in order to satisfy the performance requirements of multiple workflows in SBS. Experimental results show that the dynamic resource allocation approach can substantially increase the throughput of a SBS and the optimal resource allocation can be found in polynomial time
ContributorsAn, Ho Geun (Author) / Yau, Sik-Sang (Thesis advisor) / Huang, Dijiang (Committee member) / Ahn, Gail-Joon (Committee member) / Santanam, Raghu (Committee member) / Arizona State University (Publisher)
Created2012
Description
The objective of this research is to understand how a set of systems, as defined by the business process, creates value. The three studies contained in this work develop the model of process-based automation. The model states that complementarities among systems are specified by handoffs in the business process. The model also provides theory to explain why entry systems, boundary spanning systems, and back-end control systems provide different impacts on process quality and cost. The first study includes 135 U. S. acute care hospitals. The study finds that hospitals which followed an organizational pattern of process automation have better financial outcomes. The second study looks in more depth at where synergies might be found. It includes 341 California acute care hospitals over 11 years. It finds that increased costs and increase adverse drug events are associated with increased automation discontinuity. Further, the study shows that automation in the front end of the process has a more desirable outcome on cost than automation in the back end of the process. The third study examines the assumption that the systems are actually used. It is a cross-sectional analysis of over 2000 U. S. hospitals. This study finds that system usage is a critical factor in realizing benefits from automating the business process. The model of process-based automation has implications for information technology decision makers, long-term automation planning, and for information systems research. The analyses have additional implications for the healthcare industry.
ContributorsSpaulding, Trent Joseph (Author) / Santanam, Raghu T (Thesis advisor) / Vinze, Ajay (Committee member) / Furukawa, Michael F. (Committee member) / Arizona State University (Publisher)
Created2011