Understanding the Role of IS and Application Domain Knowledge on Conceptual Schema Problem Solving: A Verbal Protocol Study

One of the most neglected areas of information systems research is the role of the domain to which researchers apply IS methods, tools, and techniques; that is, the application domain. For example, little prior information systems (IS) or related research has examined how IS and application domain knowledge (ISDK and ADK, respectively) influence how individuals solve conceptual schema problem-solving tasks. In this research, we investigate the effects of both ISDK and ADK on two types of conceptual schema problem-solving tasks: schema based and inferential. We used verbal protocol analysis to explore the roles that ISDK and ADK play in the problem-solving processes participants use when addressing these tasks. We found that, for the two types of conceptual schema problem-solving tasks, ADK and ISDK have similar effects on problem-solving processes. That is, we found that, for schema-based problem-solving tasks, participants used focused (depth-first) processes when the application domain was familiar as did participants with greater IS domain knowledge. We also found that, for inferential problem-solving tasks, participants used exploratory (breadth-first) processes when the application domain was familiar as did participants with greater IS domain knowledge. We then show how cognitive psychology literature on problem solving can help explain the effects of ISDK and ADK and, thus, provide the theoretical foundation for analyzing the roles of each type of knowledge in the process of IS problem solving

How many operating rooms are needed to manage non-elective surgical cases? A Monte Carlo simulation study.

BackgroundPatients often wait to have urgent or emergency surgery. The number of operating rooms (ORs) needed to minimize waiting time while optimizing resources can be determined using queuing theory and computer simulation. We developed a computer program using Monte Carlo simulation to determine the number of ORs needed to minimize patient wait times while optimizing resources.MethodsWe used patient arrival data and surgical procedure length from our institution, a tertiary-care academic medical center that serves a large diverse population. With ~4800 patients/year requiring non-elective surgery, and mean procedure length 185 min (median 150 min) we determined the number of ORs needed during the day and evening (0600-2200) and during the night (2200-0600) that resulted in acceptable wait times.ResultsSimulation of 4 ORs at day/evening and 3 ORs at night resulted in median wait time = 0 min (mean = 19 min) for emergency cases requiring surgery within 2 h, with wait time at the 95th percentile = 109 min. Median wait time for urgent cases needing surgery within 8-12 h was 34 min (mean = 136 min), with wait time at the 95th percentile = 474 min. The effect of changes in surgical length and volume on wait times was determined with sensitivity analysis.ConclusionsMonte Carlo simulation can guide decisions on how to balance resources for elective and non-elective surgical procedures

Understanding Use Cases: Harnessing the Power of Narratives to Comprehend Application Domains

We investigate how stories can be used in system analysis and design to better understand the application domains. The research question we explore is: How can we employ narratives as a complement to use cases to improve our understanding of application domains? To examine this question, we study the effects—i.e., recall and problem solving—of supplementing a use case with a user story. We focus on two features of stories that can facilitate comprehension, concrete thematic content and causal explanatory information

The Influence of Psychographic Beliefs on Website Usability Requirements

Designing websites that are responsive to customer needs is a critical prerequisite for the success of online services. To date, much research has focused on understanding which design requirements can be successfully applied to a website’s design. However, there has been limited research examining why some requirements may have more or less importance to customers. In addition to demographic characteristics, we propose that psychographic characteristics influence usability-related requirements. To develop our research model and hypotheses, we draw from usability literature and research in consumer behavior concerned with customers’ prevailing beliefs about technology. Conceptualizing customer beliefs should not only help distinguish between positive and negative processes but also help further investigate their consequences. To explore the relationship between customer characteristics (i.e., gender and technology beliefs) and usability requirements, we use a usability procedure based on the Microsoft Usability Guidelines (MUG). MUG identifies multiple design requirements that are expected to increase the usability of sites. We present the results of our study involving 215 participants. Overall, our results suggest that negative beliefs may play a larger role in influencing usability requirements than positive beliefs. And, the results suggest that prior Web experience moderates the relationship between beliefs and requirements

Advances in Data Modeling Research

In this paper, we summarize the discussions of the panel on Advances in Data Modeling Research, held at the Americas Conference on Information Systems (AMCIS) in 2005. We focus on four primary areas where data modeling research offers rich opportunities: spatio-temporal semantics, genome research, ontological analysis and empirical evaluation of existing models. We highlight past work in each area and also discuss open questions, with a view to promoting future research in the overall data modeling area

Neglected Thoraco Lumbar Traumatic Spine Injuries

Study DesignRetrospective study.PurposeTo outline the etiology, complications and management difficulties encountered in the management of neglected thoracolumbar spine injuries.Overview of LiteratureThe English literature describes overlooked diagnosis as the most common cause of neglected spine injuries. However, the reasons differ in developing or under-developed nations. Moreover, there is scarcity of literature about the neglected spinal injuries.MethodsPatients presenting with thoracolumbar traumatic injuries who had not received any form of treatment for more than three weeks were included in the study. The demographic details, operative procedure performed and complications encountered, along with American Spinal Injury Association grade and spinal cord independence measure score recorded on the history sheets were noted. The data were analyzed.ResultsForty patients were included in the study. Inadequate treatment at the first contact hospital (45%) followed by late presentation (38%) and missed injury (17%) were the major etiological factors for the neglected traumatic injuries in the thoracolumbar spine. The most common complications seen in the management of these cases were pressure sores (58%), back pain (57%), urinary tract infection (42%) and residual kyphotic deformity (42%).ConclusionsManagement of neglected thoracolumbar injuries is challenging. The delay in presentation should not prevent spine surgeon in proceeding with operative intervention as good results can be expected

Radical palliative surgery: new limits to pursue

This case report describes the radical subtotal palliative resection of a massive recurrent desmoid tumor encompassing the abdomen, pelvis, and groin in a child who was 13 years old at the time of initial resection. Given the extensive distribution of the tumor en bloc resection, which is the standard treatment of desmoid tumors, would have meant performing a hemipelvectomy and repair of a large abdominal wall defect, likely with skin grafts and mesh. The patient’s personal goals however were to alleviate the pain and limited mobility that would allow her to re-attend high school and appear normal to her peers. Therefore, palliative surgery was pursued and currently the patient is 5 years out from her last surgery doing well. We believe that the option of surgical palliation in this case was warranted and should be an option for similar cases in the future

An overview of and issues with sky radiometer technology and SKYNET

This paper is an overview of the progress in sky radiometer technology and the development of the network called SKYNET. It is found that the technology has produced useful on-site calibration methods, retrieval algorithms, and data analyses from sky radiometer observations of aerosol, cloud, water vapor, and ozone. A formula was proposed for estimating the accuracy of the sky radiometer calibration constant F0 using the improved Langley (IL) method, which was found to be a good approximation to observed monthly mean uncertainty in F0, around 0.5 % to 2.4 % at the Tokyo and Rome sites and smaller values of around 0.3 % to 0.5 % at the mountain sites at Mt. Saraswati and Davos. A new cross IL (XIL) method was also developed to correct an underestimation by the IL method in cases with large aerosol retrieval errors. The root-mean-square difference (RMSD) in aerosol optical thickness (AOT) comparisons with other networks took values of less than 0.02 for λ≥500 nm and a larger value of about 0.03 for shorter wavelengths in city areas and smaller values of less than 0.01 in mountain comparisons. Accuracies of single-scattering albedo (SSA) and size distribution retrievals are affected by the propagation of errors in measurement, calibrations for direct solar and diffuse sky radiation, ground albedo, cloud screening, and the version of the analysis software called the Skyrad pack. SSA values from SKYNET were up to 0.07 larger than those from AERONET, and the major error sources were identified as an underestimation of solid viewing angle (SVA) and cloud contamination. Correction of these known error factors reduced the SSA difference to less than 0.03. Retrievals of other atmospheric constituents by the sky radiometer were also reviewed. Retrieval accuracies were found to be about 0.2 cm for precipitable water vapor amount and 13 DU (Dobson Unit) for column ozone amount. Retrieved cloud optical properties still showed large deviations from validation data, suggesting a need to study the causes of the differences. It is important that these recent studies on improvements presented in the present paper are introduced into the existing operational systems and future systems of the International SKYNET Data Center