E-exchange and the Boundary between Households and Organizations

The new information and communication technology, ICT, induces households to take over tasks from firms and government agencies, using tools and systems provided by these very same organizations. The result is often joint production activities. We argue that the importance of ICT for the exchange process between households and organizations is underestimated by only considering the consequences for the last stage of the process, i.e., the final purchase of goods and services. Our analysis of household behavior utilizes a modified version of Gary Becker’s model of the household as a combined producer-consumer.internet information, e-exchange, household production, co-production, household power, exit/voice

Analysis and modeling of roofer and steel worker fall accidents

ABSTRACT ANALYSIS AND MODELING OF ROOFER AND STEEL WORKER FALL ACCIDENTS by Hulya Cakan August 2012 Advisor: Dr. Mumtaz Usmen Major: Civil and Environmental Engineering Degree: Doctor of Philosophy There are more than nine million construction workers in the US. Roofers and steel workers are the highest risk construction trades according to BLS, and fall from elevation accounts for a large percentage of fatalities and injuries among the construction trades. In this study, 2114 OSHA accident case reports involving roofers and steel workers were reviewed to identify and analyze the factors contributing to construction fall accidents. Using data for the years between 1994 and 2008, the relationships between these factors were determined and further studied to develop predictive models. Univariate frequency, cross tabulation and logistic regression analyses were used to estimate the effect of the statistically significant factors on the degree of injury (fatality vs. nonfatality) Chi square tests on the entire data showed that there is a significant relationship between the degree of injury and union status, SIC code, construction operation prompting fall, environmental factor, human factor, project type, construction end use, safety protective system provision, safety protective system usage, fall distance, and fatality/injury cause. Logistic regression model created for the combined SIC Codes of 1761 and 1791 showed that among the six independent dichotomous variables only four were significantly associated with the degree of injury. These factors were project type, SIC code, safety training and safety protection system usage. Two separate logistic regression models, one for roofers and another for steel workers were also developed. The roofers\u27 model showed that among the five independent categorical dichotomous variables only three showed significant association with injury severity. These were project type, safety training, and safety protection system usage. The steel worker model showed that only two independent variables had significant association with the degree of injury, and they were union status and project type. The study showed that cross tabulation analysis and logistic regression modeling can be used for analyzing data on construction fall accidents in a meaningful way, producing useful results

Cognitive error analysis in accident and incident investigation in safety-critical domains

A database of 10 years' worth of medical incident data gathered in an Edinburgh Intensive Care Unit was analyzed using the proposed cognitive error analysis approach. In the second live case study, the error analysis approach was evaluated in the field by applying it to incident reporting data that was collected with a newly implemented incident reporting scheme in a Glasgow Neonatal Intensive Care Unit. The insights gained by analyzing the Edinburgh incident scheme were used to inform the design and implementation of the Glasgow incident scheme as part of the unit's existing safety management. Since both were local incident reporting schemes, it was seen as an important factor for its success to take the local context and conditions into account while situating the cognitive error analysis approach as part of these hospitals' safety management strategies. The evaluation of this incident reporting and analysis framework demonstrated the benefits of a structured, psychological “human error” analysis approach that centres on the human aspect of the incident, without isolating it from its context. It is argued that not only could the understanding of the underlying error mechanisms be improved for individual incidents, but the generation of safety recommendations could be supported, and these could then also be evaluated as to their impact on the human "in the loop". The resulting error analysis models could further be used as basis for comparing competing analyses, and also improve analysis traceability by documenting the analysis process and its resulting safety recommendations. Further work is needed in providing "best practices" for the application of the cognitive analytical framework. Further work is also needed in formalizing a way to situate the cognitive error analysis approach within the investigation of local work system factors in the search for the overall incident and accident causation. This thesis aims at demonstrating the benefits of grounding the analysis of human error as part of incident and accident reporting in a cognitive theoretical framework. This will provide the means and the vocabulary to reason about alternative causal hypotheses while also acting as a tool to document and communicate the psychological analysis of human error and its resulting safety recommendations. This approach is proposed as complementing the analysis of human error data by means of error taxonomies grounded in psychological theory

Multiple-case study of lower division graduate student Spanish instructors

textThe ever-increasing popularity of digital media and connectivity to the World Wide Web permeates every day culture to the extent that the use of modern technologies also influences the teaching of foreign languages. In connection with the desire to implement sound pedagogical practices that align with Standards of teaching foreign languages, teachers are turning to modern technologies to incorporate into their teaching repertoire. Not only do teachers attempt to integrate the four language skills and culture into their teaching, but they are now urged to incorporate technology into their curriculum. The smart classroom offers the greatest potential for instructors to integrate technology into their curriculum, since this resource is already available across college campuses. This qualitative multiple case study explored the conceptualization and reconceptualization four lower division instructors of Spanish made as they attempted to integrate the resources their smart classrooms had to offer. Secondly, this research project also highlighted the challenges instructors faced while integrating technology into their curriculum. Lastly, this study underscored the advantages instructors believed might derive from integrating technology into their classrooms. Data for this study was collected from four main data sources. Five observations were conducted during the fall of 2005. Three semi-structured interviews were conducted with each of the participants at the beginning, middle, and end of the semester. Email reflections were requested from the instructors every two to three weeks during data collection. The course syllabus, lesson plans, and class activity handouts comprised the documents data base. Findings profiled the changes instructors made over the course of the semester in terms of their conceptualizations and re-conceptualizations of the technology offered by smart classrooms. The challenges instructors faced suggest that instructors need to take advantage of more professional development opportunities, as well as enter into dialogue with their peers and other instructors. The advantages highlighted the depth and breadth of the foreign language learning experience, as well as the affordances the accessibility and availability of information stored on the Internet can hold for instructors. This study concludes with pedagogical implications and recommendations for directions of future research.Curriculum and Instructio

The 1989 Goddard Conference on Space Applications of Artificial Intelligence

The following topics are addressed: mission operations support; planning and scheduling; fault isolation/diagnosis; image processing and machine vision; data management; and modeling and simulation

Evaluation of a fuzzy-expert system for fault diagnosis in power systems

A major problem with alarm processing and fault diagnosis in power systems is the reliance on the circuit alarm status. If there is too much information available and the time of arrival of the information is random due to weather conditions etc., the alarm activity is not easily interpreted by system operators. In respect of these problems, this thesis sets out the work that has been carried out to design and evaluate a diagnostic tool which assists power system operators during a heavy period of alarm activity in condition monitoring. The aim of employing this diagnostic tool is to monitor and raise uncertain alarm information for the system operators, which serves a proposed solution for restoring such faults. The diagnostic system uses elements of AI namely expert systems, and fuzzy logic that incorporate abductive reasoning. The objective of employing abductive reasoning is to optimise an interpretation of Supervisory Control and Data Acquisition (SCADA) based uncertain messages when the SCADA based messages are not satisfied with simple logic alone. The method consists of object-oriented programming, which demonstrates reusability, polymorphism, and readability. The principle behind employing objectoriented techniques is to provide better insights and solutions compared to conventional artificial intelligence (Al) programming languages. The characteristics of this work involve the development and evaluation of a fuzzy-expert system which tries to optimise the uncertainty in the 16-lines 12-bus sample power system. The performance of employing this diagnostic tool is assessed based on consistent data acquisition, readability, adaptability, and maintainability on a PC. This diagnostic tool enables operators to control and present more appropriate interpretations effectively rather than a mathematical based precise fault identification when the mathematical modelling fails and the period of alarm activity is high. This research contributes to the field of power system control, in particular Scottish Hydro-Electric PLC has shown interest and supplied all the necessary information and data. The AI based power system is presented as a sample application of Scottish Hydro-Electric and KEPCO (Korea Electric Power Corporation)

The effect of Web interface features on consumer online shopping intentions

Amid the storm of hype over Internet adoption, it is observed that during the past years, organizations have taken considerable interest in eagerly acquiring computer hardware and software to implement electronic commerce (e-commerce) applications mostly to the detriment of human aspects of the information technology (IT) solutions (Freemantle, 2002; Lockwood & Lamp, 2000). Various Internet technologies, mostly the Web, have been implemented to offer online goods and services. Many credible estimates suggest that Internet buying and selling will account for close to $2 trillion of annual economic activity by 2004 (Citrin et al., 2003; Fry, 2000). While the promise of the Internet has become a reality many businesses cannot afford to ignore, use of this medium for communication and information has not been matched by its equivalent use for shopping (Citrin et al., 2003). Most notable are Web design problems that frustrate consumers\u27 online exchange activities (A. T. Kearney, 2000). This study proposes that features incorporated in the design of Web site interfaces can affect consumer online behavioral intentions to purchase and revisit. The study draws upon theories and prior studies in the fields of management, consumer behavior, management information systems, and related disciplines to address the research question of whether and how Web site interface design features determine online consumers\u27 perceptions, attitudes, flow experienced, and their online purchase and revisit intentions. Using data from a sample of 266 online consumers, the “best fit” structural model was selected among three a priori structural models. Results of the study confirmed most of the relationships hypothesized in the research model. It was found that, indeed, different categories of interface features have different influence levels on consumers\u27 perceptions. Whereas motivator factor was significantly related to the perceived informativeness, entertainment, and irritation; hygiene factor indicated significant relationships with only irritation. The study also found statistically significant support for the relationships between most of the perceptual variables and perceived usefulness of the site as well attitude toward the site. The role of flow experienced in determining purchase and revisit intentions received statistically significant support. Overall, the results of this study provide important insights into the online consumer experience, with implications for academic research and e-commerce systems design