51 research outputs found

    MICAP-Just in Time Custom Education

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    The paper describes the development of a custom credit/non credit program designed to produce computer programmers from non-technical college graduates in just six months

    Municipal Wireless Networks: A New Institutional Economics Explanation

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    A Macro Level Design Approach for Group Memory Information Systems

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    Group memory is an important category of organizational memory. It can be used to support work groups engaged in collaborative decision making activities. This paper presents a macro-level design methodology for group memory information system (GMIS). Various considerations for the design are : objective of using the group memory, type of group memory, its dominant dimensions and information processing models. The design approach helps in outlining the information processing logic and the memory information representation mechanism for GMI

    An Intelligent Approach to Semantic Query Processing

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    Semantic knowledge has often been employed to enforce relational database integrity. It also offers the opportunity to transform a query into a semantically equivalent query that is potentially more efficiently processed than the original query. This paper describes a knowledge-based transformation approach that utilizes semantic integrity constraints and transformation heuristics to reduce query processing costs. Implementation in the form of an intelligent system, QUOTA, is also presented

    How Team Cohesion Leads to Attitude Change in the Context of ERP Learning

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    Universities and corporate training programs have realized the importance of enterprise resource planning (ERP) systems in the business world and have incorporated such systems into their curricula and training. Although there is a rich body of literature on ERP, extant research remains relatively scant in examining team-based ERP learning. Drawing upon attitude change literature and expectation-confirmation theory, this study presents an Attitude Change Model of Team-Based ERP Learning. In particular, this study focuses on how team cohesion influences satisfaction and attitude change in ERP learning. The results of structural equation modeling support all but one hypothesis. The study concludes with discussions and implications for researchers, educators, and practitioners

    Cross-Level Moderation of Team Cohesion in Individuals’ Utilitarian and Hedonic Information Processing: Evidence in the Context of Team-Based Gamified Training

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    Firms currently use teams extensively to accomplish organizational objectives. Furthermore, gamification has recently attracted much attention as a means of persuading employees and customers to engage in desired behaviors. Despite the importance of teams and the growing interest in gamification as a persuasion tool, past researchers have paid little attention to team-based gamification from a multilevel perspective. Based on motivational consistency theories, we hypothesize that at the team level, team performance has a positive effect on team cohesion. Drawing on the elaboration likelihood model (ELM), we further hypothesize two cross-level effects in the context of team-based gamified training: first, that team cohesion positively moderates the relationship between utilitarian perceptions (i.e., perceived quality of learning) and attitude; and second, that team cohesion negatively moderates the relationship between hedonic perceptions (i.e., perceived enjoyment of learning) and attitude. We tested our research model using an enterprise resource planning (ERP) simulation game involving 232 participants in 78 teams. The results of ordinary least squares and hierarchical linear modeling analysis support our hypotheses. This study makes three substantive contributions to the team literature and to the ELM in the context of team-based gamified training. First, it theorizes and empirically tests the effect of team performance on team cohesion at the team level. Second, it extends the ELM by examining the cross-level moderation of team cohesion on human information processing. Third, it demonstrates that the utilitarian and hedonic aspects of information technology do not influence user attitudes equally

    A study of codling moth abundance as influenced by crop failures

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    Cover title.Includes bibliographical references

    Opportunities for improving animal welfare in rodent models of epilepsy and seizures

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    Animal models of epilepsy and seizures, mostly involving mice and rats, are used to understand the pathophysiology of the different forms of epilepsy and their comorbidities, to identify biomarkers, and to discover new antiepileptic drugs and treatments for comorbidities. Such models represent an important area for application of the 3Rs (replacement, reduction and refinement of animal use). This report provides background information and recommendations aimed at minimising pain, suffering and distress in rodent models of epilepsy and seizures in order to improve animal welfare and optimise the quality of studies in this area. The report includes practical guidance on principles of choosing a model, induction procedures, in vivo recordings, perioperative care, welfare assessment, humane endpoints, social housing, environmental enrichment, reporting of studies and data sharing. In addition, some model-specific welfare considerations are discussed, and data gaps and areas for further research are identified. The guidance is based upon a systematic review of the scientific literature, survey of the international epilepsy research community, consultation with veterinarians and animal care and welfare officers, and the expert opinion and practical experience of the members of a Working Group convened by the United Kingdom's National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs)
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