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Youngstown, OH, United States

Youngstown State University , founded in 1908, is an urban research university located in Youngstown, Ohio, United States. As of fall 2010, there were 15,194 students and a student-faculty ratio of 19:1. The fall 2010 enrollment figure is the highest since 1990, when the number of students on campus was 15,454. Records show that 11,803 of the students are undergraduates. Beyond its current student body, YSU claims more than 88,000 alumni. Wikipedia.

Rodabaugh S.E.,Youngstown State University
Fuzzy Sets and Systems

This paper deals with a particular question-When do powersets in lattice-valued mathematics form algebraic theories (or monads) in clone form? Our approach in this and related papers is to consider "powersets over objects" in the ground categories Set and Set × C from the standpoint of algebraic theories in clone form (C is a particular subcategory of the dual of the category of semi-quantales). For both fixed-basis powersets over objects of Set and variable-basis powersets over objects of Set × C, necessary and sufficient conditions are found under which the family of all such powersets over a ground object forms an algebraic theory in clone form of standard construction. In such results a distinguished role emerges for unital quantales. © 2009. Source

Rodabaugh S.E.,Youngstown State University
Fuzzy Sets and Systems

This paper surveys the necessity of non-stratified spaces from these viewpoints: the characteristic functor, the L-spectrum and L-soberification functors, the upper free functor associated with L-valued frames, and two functorial embeddings associated with topological systems from semantic domains. Interestingly, additional arguments also emerge en route for stratified spaces, so that this paper ultimately argues for the necessity of both stratified and non-stratified spaces in fixed-basis topology (the schemum of L-Top's) and variable-basis topology (e.g., Loc-Top). © 2009 Elsevier B.V. All rights reserved. Source

Bateman P.J.,Youngstown State University | Gray P.H.,University of Virginia | Butler B.S.,University of Pittsburgh
Information Systems Research

Online discussion communities have become a widely used medium for interaction, enabling conversations Oacross a broad range of topics and contexts. Their success, however, depends on participants' willingness to invest their time and attention in the absence of formal role and control structures. Why, then, would individuals choose to return repeatedly to a particular community and engage in the various behaviors that are necessary to keep conversation within the community going? Some studies of online communities argue that individuals are driven by self-interest, while others emphasize more altruistic motivations. To get beyond these inconsistent explanations, we offer a model that brings dissimilar rationales into a single conceptual framework and shows the validity of each rationale in explaining different online behaviors. Drawing on typologies of organizational commitment, we argue that members may have psychological bonds to a particular online community based on (a) need, (b) affect, and/or (c) obligation. We develop hypotheses that explain how each form of commitment to a community affects the likelihood that a member will engage in particular behaviors (reading threads, posting replies, moderating the discussion). Our results indicate that each form of community commitment has a unique impact on each behavior, with need-based commitment predicting thread reading, affect-based commitment predicting reply posting and moderating behaviors, and obligation-based commitment predicting only moderating behavior. Researchers seeking to understand how discussion-based communities function will benefit from this more precise theorizing of how each form of member commitment relates to different kinds of online behaviors. Community managers who seek to encourage particular behaviors may use our results to target the underlying form of commitment most likely to encourage the activities they wish to promote. © 2011 INFORMS. Source

Karpak B.,Youngstown State University | Topcu I.,Technical University of Istanbul
International Journal of Production Economics

A multiple criteria framework has been developed to prioritize the measures of success and the antecedents for Turkish small to medium sized manufacturing enterprises. Analytical network process (ANP) has been used to construct the framework because of the dependency among measures of success and the antecedents. Methodology requires expert judgments. Experts were interviewed individually without interacting and not knowing each other's judgments. Influences among the factors were elicited from each expert separately. We only asked the relative strength of direct influences of two factors with respect to the third (controlling) factor. Second, third, fourth, ..., nth degree of influences are captured by analytical network process (ANP). ANP evaluates both quantitative and qualitative criteria. Both individual and aggregated results are given. Contrary to the experts' expectation prior to study, influence of the entrepreneur turned out to have far less impact on success than some of the external factors such as regulation and policies, facility location, intensity of competition and stage of industry. Sales were the most significant measure of success in line with the literature on small medium sized enterprises. © 2010 Elsevier B.V. All rights reserved. Source

Peng G.,Youngstown State University
Journal of Product Innovation Management

With the advances of information technology, online social networks are becoming increasingly important venues for technology adoption. However, although the dynamics of technology adoption in real world social networks have been well documented, technology adoption in online social networks remains relatively under-explored. This study identifies the differences between online and offline social networks and proposes a framework to investigate the dynamics of technology adoption in online social networks. To illustrate the proposed research framework, this study employs behavior-link panel data obtained from an open source software (OSS) development network to examine how online social networks affect the adoption of Subversion, the latest OSS version control technology. Based on social network theory, co-membership is used to construct online social networks within the OSS development network. Methodologically, this study takes advantage of the panel dataset and addresses the issues of simultaneity and individual heterogeneity that frequently confound the relationship between network structure and adoption decision, and as a result it demonstrates a more compelling relationship between social networks and technology adoption. The results of this study reveal that social networks are major conduits for technology adoption in an online social network in terms of imitation, leadership, lock-in, similarity, recency, and team size effects. In online social networks, one's decision to adopt a new technology is strongly influenced by the actions of the connected others. Project leaders have a stronger influence over other members in technology adoption decision making, even in informal virtual teams where traditional governance structures do not apply. Older projects exhibit stronger inertia and thus lack innovativeness. Similarities among projects facilitate faster adoption, and the effect of leadership attenuates in the networks with increasing project dissimilarity. Recent adoptions of technology within the networks, rather than more distant ones, have a stronger impact on subsequent adoption, implying the salience of memory over usage confidence, and increased size of a project team accelerates the rate of adoption. These results help in understanding the dynamics of technology adoption in online social networks, and provide useful guidelines for firms to promote technology and product innovation. © 2011 Product Development & Management Association. Source

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