12,410 research outputs found
UNDERSTANDING POST-ADOPTIVE USAGE BEHAVIORS: A Two-Dimensional View
Recent information systems (IS) publications reveal an emerging interest in studying post-adoptive system use behaviors. Compared to the well-established research stream of IS adoption and initial usage, understanding of IS use behaviors after initial implementation stage is still at its early stage. To further develop knowledge about this phenomenon, this study reviews the IS implementation stage model and a variety of post-adoptive usage concepts in extant literature. These usage concepts are classified into three types and are mapped against their corresponding implementation stages. A two dimensional view of these use concepts is then proposed as an alternative perspective to understand these post-adoptive behaviors. Implications are also discussed at the end of this paper
Acoustic particle palpation for measuring tissue elasticity
We propose acoustic particle palpation ā the use of sound to press a population of acoustic particles against an interface ā as a method for measuring the qualitative and quantitative mechanical properties of materials. We tested the feasibility of this method by emitting ultrasound pulses across a tunnel of an elastic material filled with microbubbles. Ultrasound stimulated the microbubble cloud to move in the direction of wave propagation, press against the distal surface, and cause deformations relevant for elasticity measurements. Shear waves propagated away from the palpation site with a velocity that was used to estimate the materialās Youngās modulus
Leverage Points for Addressing Digital Inequality: An Extended Theory of Planned Behavior Perspective
Digital inequality, or the disparity in the access and use of information and communication technologies (ICT), is one of the most critical issues in the knowledge economy. This inequality prevents under-privileged people from exploring digital opportunities to enhance their life quality. Governments, business, and the public have devoted tremendous resources to address this issue, but the results are inconclusive. Theoretical understanding, complemented with theory-based empirical assessment of the phenomenon, is essential to inform effective policy-making and interventions. This dissertation explored the key factors that lead to the inequality in the access and use of ICT, particularly the high-speed Internet, between the privileged and under-privileged. I applied a belief-based perspective to understand how distinctive beliefs concerning ICT acceptance differentially influence under-privileged and privileged peopleĀ”Ā¦s innovation decision and behavior at different stages of the implementation process. A theoretical model that drew upon the Theory of Planned Behavior, Motivation Theory, Social Learning Theory, Diffusion of Innovation, and Trust was developed to explain how cognitive, social, behavioral, and institutional factors inform digital inequality as a whole. The conceptual model and forwarded hypotheses in the dissertation were empirically tested using data collected from a large-scale field survey. The survey investigated the adoption and usage behavior of residents in the city of LaGrange, Georgia where the city government, aiming to address digital inequality, provided high-speed Internet connection and devices to residents at no cost. A complementary case study was subsequently conducted to examine a multi-stage process model in which various barriers and facilitators may prevent or promote the progress of individualsĀ”Ā¦ ICT innovation. The results of this research reveal valuable insights into the differential patterns of ICT access and usage, and the key factors that cause them, for under-privileged and privileged people. The findings, in turn, suggest a segmentation and stepwise technology implementation strategy for people with different backgrounds and at different stages of their innovation processes. This dissertation makes several notable contributions for both researchers and practitioners. First, the dissertation contributes a holistic and theoretically grounded perspective that extends beyond the technology-centered view in most digital inequality studies. It also highlights the multifaceted nature of the phenomenon. As such, this research meets the challenge set forward by notable researchers to develop theoretical models capable of revealing the complexity embedded in this issue. Second, the dissertation presents a unifying theory reflected upon adoption and diffusion of innovation. Testing theories in the context of digital inequality extends and complements our existing knowledge about these related fields. Most importantly, the empirical findings derived from the rich data set identity powerful leverage points for stimulating the adoption and use of ICT among the under-privileged. With such insights, practitioners, particularly policy-makers and service providers, can formulate effective interventions to address the problem of digital inequality
Photon assisted tunneling through three quantum dots with spin-orbit-coupling
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An Investigation of Intention to Explore Business Intelligence Systems: A Psychological Engagement Perspective
Prior research has generally found that firm-specific information technology (IT) knowledge, behavioral, normative and control beliefs, and team empowerment contributed to intention to explore IT. However, little attention is directed towards how the user experience, specifically user engagement, influences usersā intention to explore IT, such as business information systems (BIS). Toward this end, this paper explores how user engagement affects usersā intention to explore BIS and how user engagement is promoted by the cognitive fit between BIS interface and tasks and the regulatory compatibility between BIS interface and personal characteristics, such as style of information processing. We conducted a lab experiment to empirically test the hypotheses. This study may contribute to the extant information systems (IS) literature by uncovering the impacts of engagement experience on intention to explore and responding to the call for investigation of the BIS context where rich visualizations of the systems influence usersā interactive experience
Valley polarization in graphene-silicene-graphene heterojunction in zigzag nanoribbon
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Understanding Cross National Difference in Knowledge Seeking Behavior Model: A Survival Perspective
Electronic Knowledge Repository (EKR) is one of the most commonly deployed knowledge management technologies, yet its success is hindered by employeesā underutilization and further complicated when implemented in the multinational context. To address these challenges, we propose a research model by conceptualizing employeesā knowledge seeking via EKR as a survival-centric behavior, identifying the technology acceptance model as the individual-level explanation for EKR use, and drawing on the thermal demands-resources theory for explaining cross national behavioral differences. Using hierarchical linear modeling, we tested the model with data from 1352 randomly sampled knowledge workers across 30 nations. The results reveal interesting cross national behavioral patterns. Specifically, thermal climates and national wealth at the macro-level interactively moderate individual-level relationships between perceived ease of use and perceived usefulness and between perceived usefulness and behavioral intention
Atomic-scale combination of germanium-zinc nanofibers for structural and electrochemical evolution
Alloys are recently receiving considerable attention in the community of rechargeable batteries as possible alternatives to carbonaceous negative electrodes; however, challenges remain for the practical utilization of these materials. Herein, we report the synthesis of germanium-zinc alloy nanofibers through electrospinning and a subsequent calcination step. Evidenced by in situ transmission electron microscopy and electrochemical impedance spectroscopy characterizations, this one-dimensional design possesses unique structures. Both germanium and zinc atoms are homogenously distributed allowing for outstanding electronic conductivity and high available capacity for lithium storage. The as-prepared materials present high rate capability (capacity of similar to 50% at 20 C compared to that at 0.2 C-rate) and cycle retention (73% at 3.0 C-rate) with a retaining capacity of 546 mAh g(-1) even after 1000 cycles. When assembled in a full cell, high energy density can be maintained during 400 cycles, which indicates that the current material has the potential to be used in a large-scale energy storage system
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