Over the past few years information technology (IT) and business alignment has become a great concern to organizations. To achieve alignment has become a daunting task for organizations due to rapid changes in business environment and lack of IT support. In business organizations business processes and IT are interrelated and interact with each other where one entity influences to another entity i.e. evolution in business processes requires evolution in IT and vice versa. When this co-evolution is not well aligned, a gap is created due to wrong configuration between business requirements and IT deployment. Organizations usually strive to bridge the gap by implementing business and IT strategies (i.e. top-down planning) and tend to ignore other aspects of the co-evolution. Alignment is a continuous co-evolutionary process in which all components of business and IT are interrelated and enhance organization performance. The co-evolution between business and IT is not restricted to a level but it occurs at all levels and therefore, it is necessary to understand and study co-evolution at all levels within organizations. This thesis presents a co-evolutionary framework that helps to study and understand the co-evolution at three levels i.e. strategic level, operational level and individual level in an integrated fashion. The three levels need to co-evolve so that all components at each level co-evolve. This framework will speed up the alignment in organizations. We argue that the lack of knowledge of business among IT people and IT knowledge among business executives may cause the gap; therefore, a need arises to have a knowledgeable mediator between the domains that could help in the co-evolution. A K-mediator (i.e. knowledge mediator) has been used in the proposed co-evolutionary framework that facilitates the co-evolution at each level. Finally the thesis presents a case study in financial domain in order to evaluate and validate the framework.

This thesis documents research providing improvements in the field of accessibility modelling, which will be of particular interest as computing becomes increasingly ubiquitous. It is argued that a new approach is required that takes into account the dynamic relationship between users, their technology (both hardware and software) and any additional Assistive Technologies (ATs) that may be required. In addition, the approach must find a balance between fidelity and transportability. A theoretical framework has been developed that is able to represent both users and technology in symmetrical (hierarchical) recursive profiles, using a vocabulary that moves from device-specific to device-agnostic capabilities. The research has resulted in the development of a single unified solution that is able to functionally assess the accessibility of interactions through the use of pattern matching between graph-based profiles. A self-efficacy study was also conducted, which identified the inability of older people to provide the data necessary to drive a system based on the framework. Subsequently, the ethical considerations surrounding the use of automated data collection agents were discussed and a mechanism for representing contextual information was also included. Finally, real user data was collected and processed using a practically implemented prototype to provide an evaluation of the approach. The thesis represents a contribution through its ability to both: (1) accommodate the collection of data from a wide variety of sources, and (2) support accessibility assessments at varying levels of abstraction in order to identify if/where assistance may be necessary. The resulting approach has contributed to a work-package of the Sus-IT project, under the New Dynamics of Ageing (NDA) programme of research in the UK. It has also been presented to a W3C Research and Development Working Group symposium on User Modelling for Accessibility (UM4A). Finally, dissemination has been taken forward through its inclusion as an invited paper presented during a subsequent parallel session within the 8th International Conference on Universal Access in Human-Computer Interaction.

The overall objective of this thesis has been to develop accurate computational methods for the diffusion and adsorption of small gases in zeolites. Firstly, the effect of the zeolite framework flexiblity on the single component and binary diffusion of various gases were discussed. Results indicate that for tight fitting molecules the rigid framework approximation can produce order(s) of magnitude difference in diffusivities as compared to the simulations performed with a fully flexible framework. We proposed two simple methods in which the flexible structure of a zeolite is approximated as a set of discrete rigid snapshots. Both methods are orders of magnitude more efficient than the simulations with the fully flexible structure. Secondly, we use a combined classical and quantum chemistry based approach to systematically develop the force fields based on DFT calculations for interactions of simple molecules like CH4, N2, linear alkanes, and linear alkenes in zeolites. We used a higher level of theory known as the DFT/CC method to correct DFT energies that were used in the periodic DFT calculations to develop force fields. Our results show that DFT-derived force fields give good predictions of macroscopic properties like adsorption isotherms in zeolites. The force fields are transferrable across zeolites and hence can be further used to screen materials for different storage and separation applications.

Respiratory Syncytial Virus (RSV) infects the lower respiratory tract in children under the age of two years and is spread through droplet and contact with infected persons. An estimated 200,000 children suffer from complications of RSV annually worldwide. Palivizumab is a monoclonal antibody used to immunize children from RSV and has been on the market since 1988. In 2014, the American Academy of Pediatrics (AAP) updated its policy for recommendation of RSV in premature infants. The objective of this capstone is to propose an evaluation framework with an example of how it could have been applied to assess the impact of the AAP policy change on RSV vaccination use and RSV outcomes among premature infants. The proposed evaluation framework would be a unique link between birth certificate records and surveys of parents/guardians of 32 week gestation premature infants or less in the metropolitan Atlanta area. The birth certificate data would identify “at risk” infants and would allow for selection of a sample of parents/guardians, both pre-policy change (August 1, 2013 to July 30, 2014) and post-policy change (August 1, 2014 to July 30, 2015). The primary endpoints would be: initiation and completion of the RSV vaccine series and RSV infection rates. Moderating variables would be obtained from birth certificate data (e.g. mother’s education and race) and survey data (e.g. attitudes toward vaccine acceptance). The evaluation framework proposed in this Capstone can be used in future analyses of RSV vaccination policy changes. It can also be generalized to other geographic areas in the US and used for routine surveillance of RSV vaccination use and RSV outcomes.

Mentor/protégé programs are popular corporate tools, often used to identify and nurture emerging leaders internally, as part of senior management succession planning. This paper provides an analysis of the 2008 Mentor/Protégé program at Analog Devices, Inc from the Human Capital Framework (HCF) perspective. The HCF analysis specifically focuses on identifying implementation “levers” (e.g., human capital) which create or increase capabilities of the organization, to realize strategic goals. This analysis identifies implementation levers from the Mentor/Protégé training program which create new capabilities in the organization, with focus on a Protégé team initiative which developed a new lever to communicate corporate strategy to the organization. / text

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In the wake of 21 year old Don Sanderson’s death (January 1st, 2009), the direct result of head injuries sustained during an on-ice hockey fight, the social and political appetite for eliminating violence in amateur hockey appears to be at an all time high. Unfortunately, due to a variety of methodological and conceptual limitations previous research is currently unable to provide a unified and valid explanation for sport-specific aggression (Kirker, Tenenbaum, & Mattson, 2000). One of the primary impediments facing our understanding of sport-specific aggression is the descriptive and fragmented nature of the current body of literature. Over the years a number of independent lines of research have been undertaken, through which several psychological and social factors have been identified as potential determinants. However, in many cases these constructs have yet to be tested against athletes’ actual aggressive behaviour in sport and thus their predictive contribution to our understanding is still unknown. Consequently, the purpose of the current investigation was to assess the predictive influence of several commonly cited psychosocial constructs on amateur hockey players actual within-competition use of aggressive behaviour over a competitive season. A trait aggressive personality disposition emerged as the strongest and most stable predictor of athletes’ aggressive behaviour, accounting for 10 – 40% of the statistical variance depending upon the age and competitive level of the athletes under investigation. Differences in the overt expression of the this trait aggressive disposition between age cohorts (bantam / midget) and competitive levels (house league / rep) suggests that environmental and contextual factors also play a significant role in facilitating or repressing athletes’ aggressive behaviour. As such, the results of the current study support an interactive explanation for hockey-related aggression, whereby situational (e.g., team norms, perceived reinforcement) and personal factors (e.g., trait aggressive disposition, ego orientation) interact to either increase or decrease an athlete’s likelihood for committing aggressive penalty infractions over a competitive season. The current results are plotted and discussed within the parameters of Anderson and Bushman’s (2002) General Aggression Model (GAM), which is a frequently cited interactionist framework used in the broader study of human aggression.

Opportunities for supporting physician continuing professional development (CPD) may exist through careful instructional design and creative use of information and communication technology. The overarching goal of this study was to explore the learning experiences and outcomes of cardiologists participating in a web conference (“webinar”) series to understand the factors that can support webinars in being an appealing and satisfying CPD medium for these learners. Acknowledging that a pedagogically-based framework for program design is a cornerstone of effective CPD (Hutchinson & Estabrooks, 2009; Inan & Lowther, 2007; Casimiro, MacDonald, Thompson, & Stodel, 2009), this study used the W(e)Learn Framework (MacDonald, Stodel, Thompson, & Casimiro, 2009) as a process guide and quality standard for program design, development and delivery. Cardiologists voluntarily participated in an educational webinar series in which they shared their observations and experiences. Informed by the results of a systematic review of physician eLearning design preferences, this dissertation serves as a mechanism to learn about how webinars can be implemented to support learning and practice change within a population of highly specialized physician learners. Methodological approaches included a systematic review of literature examining physician preferences for eLearning design, a case study of webinar implementation, and interviews with cardiologists who participated in the webinars. The findings of the systematic review, the case study and the interviews aligned to characterize key considerations in webinar implementation. Webinar designers must carefully determine program structures, content, and media to create a satisfying learning experience. Cardiologists seek a webinar experience that responds to their professional reality of competing priorities, complex patients, and ambiguous clinical questions. They seek a mix of evidence-based, authentic and challenging content, delivered by credible content experts. The study found that purposefully designed webinars can be a satisfying learning experience for cardiologists with the potential to influence changes in knowledge and practice. The use of an instructional design framework may structure and enrich webinar implementation; this dissertation encourages their use.

Although markets are emerging for commercial off-the-shelf components (such as Sun JavaBeans), there are many barriers to widespread component adoption. This is due to the inherent `black-box' nature of software components: developers have no knowledge or control of the component's internal characteristics. Without source or design details, developers only have the component's interface, documentation and test results to answer important questions about reliability, proper use, behavior andperformance. The current best practice of specifying a component's capabilities by providing only the syntax and informal documentation is insufficient to assemble mission or safety-critical systems successfully. To address these problems we have developed a framework forcreating and analyzing the concise specifications of components and their related interfaces. The framework extends a formal model for software architecture descriptions to support the specification of a range of terms. With formal component specifications developers can use the framework to analyze the properties of individual components or of entire systems. Unlike other approaches, the formal basis and implementation of our framework enhance understanding and automates much of thecomponent analysis process.