Information Systems and Health Care VIII-Using Paper-Based Scenarios to Examine Perceptions of Interactive Health Communication Systems

While information and communication technologies can increase the health care provided to underserved populations, research concerning these technologies often involves only those patients who possess access to technology or who are otherwise willing and able to use it. This issue is important for both researchers and practitioners because non-users\u27 beliefs may not only be different from users\u27 beliefs, they may become more important to understand as access to technology increases. To address this problem: 1. We develop a model of the antecedents to perceived usefulness of an interactive health communication (IHC) system. While our research model combines health-related beliefs with technology perceptions, the antecedents can all be measured before an individual has contact with a particular IHC system. Thus, in the current (and in future) work, they can be used to assess the beliefs of individuals who may not currently be willing or able to use technology. 2. We test this model using paper-based scenarios that depict hypothetical interactions with an IHC system. These paper-based scenarios are more flexible and easier to use than a working system, thus we are able to obtain data from many sources, resulting in a perceptually diverse sample. Results of our hypothesis testing show that patients with higher knowledge and discipline are less likely than those with less knowledge and/or discipline to find an IHC system useful. In addition we learned several lessons from our research process including how to increase participation rates and what reactions to expect from participants

Green Business and Online Price Premiums: Will Consumers Pay More to Purchase from Environmentally Friendly Technology Companies?

This study explores the “green” business model for the digital economy. Specifically, it asks whether online consumers will pay more to purchase from a company that they perceive to be socially responsible when it comes to the environment. We conduct an experiment where consumers are presented with different facts regarding the environmental practices of a fictional online retailer of digital music, movies and MP3 players, and are then asked to indicate the maximum price they would be willing to pay for these products. Each consumer first reacts to an environmentally neutral company, followed by an environmentally friendly company and an environmentally unfriendly company presented in a random order. Results show a significant difference between the maximum prices consumers are willing to pay for products with each group, with the environmentally friendly company receiving a modest premium over the neutral group and with the environmentally unfriendly company experiencing a steep price drop for their products compared to the neutral group where many consumers indicate that they would not purchase at any price from the environmentally unfriendly company. Our findings have practical implications for the digital economy as companies look for ways to differentiate themselves from competitors

Mitigating Selective Filtering’s Polarizing Effect on Web 2.0 Content

For almost two decades, the Internet and related technologies have made more information available to information usersthan they can handle. The decentralization of content creation that is a feature of Web 2.0 has only exacerbated this problem.This state of overload, combined with our tendency toward hypothesis-confirming behavior, can result in biased informationselection, and threatens both civil discourse and effective decision-making. In this paper, we describe a study of a techniquedesigned to mitigate filtering by enabling content consumers to see a greater diversity of information. The results of ourexperiment support the notion that the strength of people’s opinions can be changed by reading relevant information, butprovide only weak support for the effectiveness of categorizing information content. We discuss how the results will guideour future research and inform theory and practice

An Experimental Investigation of the Individual and Joint Effects of Financial and Non-financial Incentives on Knowledge Sharing Using Enterprise Social Media

Many organizations implement enterprise social media (ESM) in an effort to capture and store valuable knowledge that employees possess. Unfortunately, more often than not, employees do not make a large number of knowledge contributions. Using agency theory and contingency theory as foundations, we examine managerial interventions that can improve knowledge contribution rates in ESM. Specifically, we investigate the individual and joint effects of paying people to share knowledge, providing social cues, and having supporting and policing moderators on knowledge sharing. We further examine how two contingency factors—the nature of an employee’s compensation scheme (variable or fixed) for their primary work task and the employee’s belief about the importance of sharing knowledge—affect the relative efficacy of the aforementioned managerial interventions. Although we found evidence that being paid to share knowledge and believing that knowledge sharing is inherently important both increase the amount of knowledge shared, our most important results concern the existence of significant interaction effects. For persons who receive a fixed salary, we found a surprisingly large, positive synergistic effect between being paid to share knowledge and believing that knowledge sharing is important. However, introducing a policing moderator almost completely nullified this synergistic effect. We discuss the implications of these findings for both practice and research

Designing a Prototype for Analytical Model Selection and Execution to Support Self-Service BI

This paper presents a prototype of a modeling tool specifically designed for business analysts with little modeling experience. The proposed tool has an interactive user interface for a dimensional data store that contains a library of analytical models that business analysts can evaluate and use to create models they can run on their own data sets. Using a design science approach, we review the relevant literature in self-efficacy and feedforward to provide a kernel theory that informs the design criteria met by our proof of concept prototype. Specifically, we demonstrate the prototype’s user interface with a prediction problem faced by the United States Department of Labor

A 10-hour period revealed in optical spectra of the highly variable WN8 Wolf-Rayet star WR 123

Aims. What is the origin of the large-amplitude variability in Wolf-Rayet WN8 stars in general and WR123 in particular? A dedicated spectroscopic campaign targets the ten-hour period previously found in the high-precision photometric data obtained by the MOST satellite. Methods. In June-August 2003 we obtained a series of high signal-to-noise, mid-resolution spectra from several sites in the {\lambda}{\lambda} 4000 - 6940 A^{\circ} domain. We also followed the star with occasional broadband (Johnson V) photometry. The acquired spectroscopy allowed a detailed study of spectral variability on timescales from \sim 5 minutes to months. Results. We find that all observed spectral lines of a given chemical element tend to show similar variations and that there is a good correlation between the lines of different elements, without any significant time delays, save the strong absorption components of the Hei lines, which tend to vary differently from the emission parts. We find a single sustained periodicity, P \sim 9.8 h, which is likely related to the relatively stable pulsations found in MOST photometry obtained one year later. In addition, seemingly stochastic, large-amplitude variations are also seen in all spectral lines on timescales of several hours to several days.Comment: 6 pages, 4 figures, 2 tables, data available on-line, accepted in A&A Research Note

Mass-Loss Rate Determination for the Massive Binary V444 Cyg using 3-D Monte-Carlo Simulations of Line and Polarization Variability

A newly developed 3-D Monte Carlo model is used, in conjunction with a multi-line non-LTE radiative transfer model, to determine the mass-loss rate of the Wolf-Rayet (W-R) star in the massive binary \object{V444 Cyg} (WN5+O6). This independent estimate of mass-loss rate is attained by fitting the observed \HeI (5876) \AA and \HeII (5412) \AA line profiles, and the continuum light curves of three Stokes parameters ((I, Q, U)) in the (V) band simultaneously. The high accuracy of our determination arises from the use of many observational constraints, and the sensitivity of the continuum polarization to the mass-loss rate. Our best fit model suggests that the mass-loss rate of the system is (\dot{M}_{\WR}=0.6(\pm 0.2) \times 10^{-5} M_{\sun} \mathrm{yr}^{-1} ), and is independent of the assumed distance to \object{V444 Cyg}. The fits did not allow a unique value for the radius of the W-R star to be derived. The range of the volume filling factor for the W-R star atmosphere is estimated to be in the range of 0.050 (for R_{\WR}=5.0 R_{\sun}) to 0.075 (for R_{\WR}=2.5 R_{\sun}). We also found that the blue-side of \HeI (5876 ) \AA and \HeII (5412) \AA lines at phase 0.8 is relatively unaffected by the emission from the wind-wind interaction zone and the absorption by the O-star atmosphere; hence, the profiles at this phase are suitable for spectral line fittings using a spherical radiative transfer model.Comment: 18 pages, 17 figures: Accepeted for publication in A&

Polarimetric Evidence of Non-Spherical Winds

Polarization observations yield otherwise unobtainable information about the geometrical structure of unresolved objects. In this talk we review the evidences for non-spherically symmetric structures around Luminous Hot Stars from polarimetry and what we can learn with this technique. Polarimetry has added a new dimension to the study of the envelopes of Luminous Blue Variables, Wolf-Rayet stars and B[e] stars, all of which are discussed in some detail.Comment: 8 pages, 2 encapsulated Postscript figures, uses lamuphys.sty. Invited review to appear in IAU Coll. 169, Variable and Non-Spherical Stellar Winds in Luminous Hot Stars, eds. B. Wolf, A.Fullerton and O. Stahl (Springer

Global patterns of diapycnal mixing from measurements of the turbulent dissipation rate

The authors present inferences of diapycnal diffusivity from a compilation of over 5200 microstructure profiles. As microstructure observations are sparse, these are supplemented with indirect measurements of mixing obtained from (i) Thorpe-scale overturns from moored profilers, a finescale parameterization applied to (ii) shipboard observations of upper-ocean shear, (iii) strain as measured by profiling floats, and (iv) shear and strain from full-depth lowered acoustic Doppler current profilers (LADCP) and CTD profiles. Vertical profiles of the turbulent dissipation rate are bottom enhanced over rough topography and abrupt, isolated ridges. The geography of depth-integrated dissipation rate shows spatial variability related to internal wave generation, suggesting one direct energy pathway to turbulence. The global-averaged diapycnal diffusivity below 1000-m depth is O(10?4) m2 s?1 and above 1000-m depth is O(10?5) m2 s?1. The compiled microstructure observations sample a wide range of internal wave power inputs and topographic roughness, providing a dataset with which to estimate a representative global-averaged dissipation rate and diffusivity. However, there is strong regional variability in the ratio between local internal wave generation and local dissipation. In some regions, the depth-integrated dissipation rate is comparable to the estimated power input into the local internal wave field. In a few cases, more internal wave power is dissipated than locally generated, suggesting remote internal wave sources. However, at most locations the total power lost through turbulent dissipation is less than the input into the local internal wave field. This suggests dissipation elsewhere, such as continental margins