Out of Sight, Out of Mind: Turnover Intentions through an eLeadership Lens

The basis for this research is founded on the emerging eLeadership theory and the need for retention of qualified leadership in organizations that either are required to or elect to adopt information communication technology (ICT). Development of the eLeadership theory is still in its nascent stage and thus the use of theoretical foundations it is built upon are used to measure and understand the influencing factors of an eLeader\u27s turnover intention. The researchers in this study propose a research model of eLeader’s turnover intention and develop propositions using eLeader’s relationship with followers, transformational leadership ability, technology self-efficacy, and organizational engagement as its core constructs. Data from this research is proposed to be collected using qualified surveys and findings. This research is expected to make a significant contribution and enrich the developing body of eLeadership literature so that more empirical data is available for future researchers interested in measuring constructs related to eLeadershi

Knowledge Management in Software Development

Today’s business environment is extremely dynamic and competitive. In order to sustain the pressure and gain a competitive edge, it is imperative for organizations to be creative in their software development efforts. Agile software development has huge potential for nurturing creativity. However, little research has examined creativity in the context of software development projects, particularly those using agile practices. The objective of this paper is to articulate a model that elucidates the relationship between agile practices and creativity. Further, the model tries to provide an understanding of how Knowledge Integration mediates the Relationship between agile practices and team creativity

Exploratory Analysis of Internet of Things (IoT) in Healthcare: A Topic Modeling Approach

The rapid integration of the physical and cyber worlds through the Internet of Things, or IoTs, is transforming our lives in ways that we could not have imagined even five years ago. Although they are still in their infancy, IoTs have already made a significant impact, particularly in the healthcare domain. The purpose of this study is to unravel key themes latent in the sparse but growing academic literature on the application of IoTs in healthcare. Specifically, we performed topic modeling and identified five dominant clusters of research, namely, privacy and security, wireless network technologies, applications, data, and smart health and cloud. Our results show that research in healthcare IoT has mainly focused on the technical aspects with little attention to social concerns. In addition to categorizing and discussing the topics identified, the paper provides directions for future researc

l-dyno: framework to learn consistent visual features using robot's motion

Historically, feature-based approaches have been used extensively for camera-based robot perception tasks such as localization, mapping, tracking, and others. Several of these approaches also combine other sensors (inertial sensing, for example) to perform combined state estimation. Our work rethinks this approach; we present a representation learning mechanism that identifies visual features that best correspond to robot motion as estimated by an external signal. Specifically, we utilize the robot's transformations through an external signal (inertial sensing, for example) and give attention to image space that is most consistent with the external signal. We use a pairwise consistency metric as a representation to keep the visual features consistent through a sequence with the robot's relative pose transformations. This approach enables us to incorporate information from the robot's perspective instead of solely relying on the image attributes. We evaluate our approach on real-world datasets such as KITTI & EuRoC and compare the refined features with existing feature descriptors. We also evaluate our method using our real robot experiment. We notice an average of 49% reduction in the image search space without compromising the trajectory estimation accuracy. Our method reduces the execution time of visual odometry by 4.3% and also reduces reprojection errors. We demonstrate the need to select only the most important features and show the competitiveness using various feature detection baselines.Comment: 7 pages, 6 figure

Methods and Systems for Indoor Navigation

Patent relating to methods and systems for indoor navigation

Isostatic phase transition and instability in stiff granular materials

In this letter, structural rigidity concepts are used to understand the origin of instabilities in granular aggregates. It is shown that: a) The contact network of a noncohesive granular aggregate becomes exactly isostatic in the limit of large stiffness-to-load ratio. b) Isostaticity is responsible for the anomalously large susceptibility to perturbation of these systems, and c) The load-stress response function of granular materials is critical (power-law distributed) in the isostatic limit. Thus there is a phase transition in the limit of intinitely large stiffness, and the resulting isostatic phase is characterized by huge instability to perturbation.Comment: RevTeX, 4 pages w/eps figures [psfig]. To appear in Phys. Rev. Let

The statistics of particle velocities in dense granular flows

We present measurements of the particle velocity distribution in the flow of granular material through vertical channels. Our study is confined to dense, slow flows where the material shears like a fluid only in thin layers adjacent to the walls, while a large core moves without continuous deformation, like a solid. We find the velocity distribution to be non-Gaussian, anisotropic, and to follow a power law at large velocities. Remarkably, the distribution is identical in the fluid-like and solid-like regions. The velocity variance is maximum at the core, defying predictions of hydrodynamic theories. We show evidence of spatially correlated motion, and propose a mechanism for the generation of fluctuational motion in the absence of shear.Comment: Submitted to Phys. Rev. Let

ROLE OF MOBILE TECHNOLOGIES IN DIABETES SELF MANAGEMENT: TECHNOLOGY AFFORDANCE PERSEPCTIVE

Diabetes is costly and a leading cause of death and disability in the United States (CDC, 2015). There is no known cure for the disease, however, it can be managed and controlled through self-management. This process involves patients managing a complex set of distinct but related tasks including, but not limited to, monitoring health conditions, tracking medication dosages, food intake, physical activities, complying with treatment regimens, and solving problems that may arise due to illness (Clark et al., 1991; Hill-Briggs, 2003). In recent years, mobile apps and devices (henceforth labeled mobile technologies) have emerged as a promising means to help diabetics manage their conditions. While the number and variety of mobile apps and devices for diabetes self-management continue to rise, their role and effectiveness in helping diabetics self-manage their conditions are relatively unknown (Caburnay et al., 2015; Eng and Lee, 2013). The following dissertation, comprised of three essays, aims at supplying the research with answers by investigating the role of mobile technologies in diabetes self-management. To assist, technology affordances (Gibson, 1986), the self-regulation model of illness representation (Leventhal et al., 2003; 2008), and the self-care behavior framework as advocated by the American Association of Diabetes Educators (AADE7, 2010) act as theoretical foundations. The purpose of this dissertation is to advance the concept of technology affordances in the field of diabetes self-management using mobile technologies. In the first essay, we report on the development and validation of an instrument to measure Perceived and Realized Affordances of Mobile Technologies for Diabetes Self- Management (AMTDS) with a nomological network. It is argued that mobile technology affordances play a significant role in influencing a patient\u27s perception of the usefulness and ease of using mobile technologies for diabetes management. In the second essay, using the selfregulation model of illness representation and coping behavior, two models are developed. One for users and one for non-users of mobile technologies, where a patient\u27s illness perceptions are shown to influence their intention to adopt and continue to use mobile technologies for diabetes management. In the third essay, a model of patient empowerment has been developed where technology affordances are theorized to influence patient empowerment, which in turn influences a patient\u27s well-being. Survey methodology is utilized to collect data and empirically test the models in all the three papers. Relyng on the data collected from over 450 diabetes patients (200 non-users and over 250 users of mobile technologies), we test the hypothesized relationships. This research contributes to the literature by supplying a new instrument for measuring the affordances of mobile technologies for diabetes management. The insights from this study also contribute to the design and development of mobile technology while offering new insights into the role of affordances in influencing a diabetic\u27s adoption and use of mobile technologies for diabetes management. All efforts are in support of inspiring others to further explore and measure the effects of technology affordances for other chronic illnesses