Risky Decisions and Decision Support - Does Stress Make a Difference?

Studies of human decision making have demonstrated that stress exacerbates risk taking. Since all decisions involve some element of risk, stress has critical impact on decision quality. Decisions are found to improve with stress up to an optimal threshold beyond which deterioration is observed. However, few studies have examined the psychological experiences underlying risk-taking behavior in conjunction with stress creators. In this paper we propose a research framework that integrates pre-conditions of stress (perceptions of high gain/loss, risk, complexity, and organizational pressure) with observed psychological experiences (time pressure, uncertainty, information overload, and dynamism) that potentially result in risky decision making. This framework suggests that decision support systems have the potential of mitigating or enhancing the psychological perceptions of stress and, hence, impacting decision quality. Empirical testing of a component of this framework provided interesting preliminary results. Subjects experiencing high stress indicated the same levels of perceived uncertainty and dynamism as subjects exposed to low stress, suggesting that use of a decision support system mitigated the perceptions of dynamism and uncertainty for the high stress group. Contrary to hypotheses, the use of a decision support system did not mitigate perceptions of information overload

A Critical Review of Decision Support Systems Foundational Articles

Abstract Decision Support Systems (DSS) is a mature field of study with an extensive conceptual and empirical literature. This research study provides a starting point for learning and reviewing the foundation literature of the field. Decision support and analytics researchers can benefit from revisiting the methodologies, identifying under-explored ideas, and hopefully identifying visionary concepts from thought leaders who established the DSS research stream. This article reports a systematic examination of the DSS foundational literature published in MIS Quarterly during its first fifteen years of publication -- 1977-1991. In addition to examining the relevance of these articles to current and future research, the findings of the study provide a reference point of DSS research categories. Articles were categorized in terms of theory, methods, concepts and perspectives about computerized decision support that enrich research and encourage future exploration

Business Analytics in the Context of Big Data: A Roadmap for Research

This paper builds on academic and industry discussions from the 2012 and 2013 pre-ICIS events: BI Congress III and the Special Interest Group on Decision Support Systems (SIGDSS) workshop, respectively. Recognizing the potential of “big data” to offer new insights for decision making and innovation, panelists at the two events discussed how organizations can use and manage big data for competitive advantage. In addition, expert panelists helped to identify research gaps. While emerging research in the academic community identifies some of the issues in acquiring, analyzing, and using big data, many of the new developments are occurring in the practitioner community. We bridge the gap between academic and practitioner research by presenting a big data analytics framework that depicts a process view of the components needed for big data analytics in organizations. Using practitioner interviews and literature from both academia and practice, we identify the current state of big data research guided by the framework and propose potential areas for future research to increase the relevance of academic research to practice

The Current State of Business Intelligence in Academia

Current trends suggest that academia may be behind the curve in delivering effective Business Intelligence programs and course offerings to students. In December 2009 and 2010, the AIS Special Interest Group on Decision Support, Knowledge and Data Management Systems (SIGDSS) and the Teradata University Network (TUN) cosponsored the Business Intelligence Congresses and conducted surveys to improve the understanding of the state of BI in academia. This panel report describes the key findings and best practices that were identified. The article also serves as a “call to action” for universities regarding the need to close a widening gap between the BI skills of university graduates in Information Systems and other fields and BI market needs. The IS field is well positioned to be the leader in creating the next generation BI workforce. To do so, it is important for IS to begin moving on this opportunity now. We believe the necessary first step is for BI and IS leaders to advance the BI curriculum

Speech input processing in children born with cleft palate: A systematic literature review with narrative synthesis.

BACKGROUND: Speech development requires intact and adequately functioning oral anatomy and cognitive 'speech processing' skills. There is evidence that speech input processing skills are associated with speech output problems in children not born with a cleft. Children born with cleft palate ± lip (CP±L) are at high risk of developing disordered speech output. Less is known about their speech input processing skills and whether they are associated with cleft-related speech sound disorder (SSD). AIMS: (1) To collate and evaluate studies reporting evidence regarding the speech input processing skills of children born with cleft palate in comparison with data from typically developing children or other comparison groups; and (2) to identify any available evidence regarding relationships between speech input processing skills and speech output in children born with CP±L. METHODS & PROCEDURES: Potentially relevant studies published up to November 2019 were identified from the following databases: Medline via Ovid, Embase via Ovid, Cinahl via Ebscohost, PsycInfo via Ebscohost, BNI via ProQuest, AMED via Ovid, Cochrane Library and Scopus. Inclusion criteria were: peer-reviewed articles published in scientific journals, any design, published in English, participants born with a CP±L aged up to age 18 years who completed speech input processing assessments compared with normative data and/or a control or other comparison group. Critical Appraisal Skills Programme (CASP) checklists were used to quality appraise included studies. OUTCOMES & RESULTS: Six studies were retained in the final review. There is some evidence that children born with CP±L perform less well than non-cleft controls on some speech input processing tasks and that specific input processing skills may be related to errors in the children's speech. Heterogeneity in relation to study groups and assessments used, as well as small sample sizes, limits generalization of findings. CONCLUSION & IMPLICATIONS: There is limited evidence regarding the speech input processing skills of children born with CP±L. There are indications that children born with CP+/L may have difficulty in some aspects of speech input processing in comparison with children not born with a cleft, and that difficulties with some speech input processing tasks may be specific to errors in children's speech output. Further research is required to develop our understanding of these skills in this population and any associations with speech output. WHAT THIS PAPER ADDS: What is already known on the subject Few studies have been published that examine aspects of speech input processing in children born with CP±L. Theoretical models of speech processing, and published studies, propose that speech input processing skills are associated with SSD in children who were not born with a cleft. However, it is less clear whether there is any association between speech input processing and cleft-related SSD. What this paper adds to existing knowledge This review systematically collates and evaluates the published, peer-reviewed evidence regarding speech input processing skills in children born with CP±L. The collated evidence indicates that some speech input processing skills differ between children with and without CP±L. There is some evidence, from a single study, that speech input processing of specific cleft speech characteristics (CSCs) may be associated with the presence of these CSCs in the speech output of some children born with CP±L. What are the potential or actual clinical implications of this work? While the evidence is currently limited, increasing our knowledge of speech input processing skills in children born with CP±L contributes to our clinical understanding of the nature of cleft-related SSD. The current evidence suggests that speech and language therapists should consider speech input processing skills when assessing children with cleft-related SSD to support intervention planning. Considering these skills in relation to literacy development in these children may also be important

The Current State of Business Intelligence in Academia: The Arrival of Big Data

In December 2012, the AIS Special Interest Group on Decision Support, Knowledge and Data Management Systems (SIGDSS) and the Teradata University Network (TUN) cosponsored the Business Intelligence Congress 3 and conducted surveys to assess academia’s response to the growing market need for students with Business Intelligence (BI) and Business Analytics (BA) skill sets. This panel report describes the key findings and best practices that were identified, with an emphasis on what has changed since the BI Congress efforts in 2009 and 2010. The article also serves as a “call to action” for universities regarding the need to respond to emerging market needs in BI/BA, including “Big Data.” The IS field continues to be well positioned to be the leader in creating the next generation BI/BA workforce. To do so, we believe that IS leaders need to continuously refine BI/BA curriculum to keep pace with the turbulent BI/BA marketplace

The ROTSE-III Robotic Telescope System

The observation of a prompt optical flash from GRB990123 convincingly demonstrated the value of autonomous robotic telescope systems. Pursuing a program of rapid follow-up observations of gamma-ray bursts, the Robotic Optical Transient Search Experiment (ROTSE) has developed a next-generation instrument, ROTSE-III, that will continue the search for fast optical transients. The entire system was designed as an economical robotic facility to be installed at remote sites throughout the world. There are seven major system components: optics, optical tube assembly, CCD camera, telescope mount, enclosure, environmental sensing & protection and data acquisition. Each is described in turn in the hope that the techniques developed here will be useful in similar contexts elsewhere.Comment: 19 pages, including 4 figures. To be published in PASP in January, 2003. PASP Number IP02-11

The Dark Side of ROTSE-III Prompt GRB Observations

We present several cases of optical observations during gamma-ray bursts (GRBs) which resulted in prompt limits but no detection of optical emission. These limits constrain the prompt optical flux densities and the optical brightness relative to the gamma-ray emission. The derived constraints fall within the range of properties observed in GRBs with prompt optical detections, though at the faint end of optical/gamma flux ratios. The presently accessible prompt optical limits do not require a different set of intrinsic or environmental GRB properties, relative to the events with prompt optical detections.Comment: ApJ accepted. 20 pages in draft manuscript form, which includes 6 pages of tables and 2 figure

Status of the ROTSE-III telescope network

ROTSE-III is a homogeneous worldwide array of 4 robotic telescopes. They were designed to provide optical observations of γ-ray burst (GRB) afterglows as close as possible to the start of γ-ray emission. ROTSE-III is fulfilling its potential for GRB science, and provides optical observations for a variety of astrophysical sources in the interim between GRB events