Patricia Roberts Harris, Former United States Secretary of Housing and Urban Development

General note: Title and date provided by Bettye Lane.

Managing supply chain knowledge-based linkages for improving operational performance

Purpose: This paper aims to explore the role of internal and external knowledgebased linkages across the supply chain in achieving better operational performance. It investigates how knowledge is accumulated, shared, and applied to create organization-specific knowledge resources that increase and sustain the organization's competitive advantage. Design/methodology/approach: This paper uses a single case study with multiple, embedded units of analysis, and the social network analysis (SNA) to demonstrate the impact of internal and external knowledge-based linkages across multiple tiers in the supply chain on the organizational operational performance. The focal company of the case study is an Italian manufacturer supplying rubber components to European automotive enterprises. Findings: With the aid of the SNA, the internal knowledge-based linkages can be mapped and visualized. We found that the most central nodes having the most connections with other nodes in the linkages are the most crucial members in terms of knowledge exploration and exploitation within the organization. We also revealed that the effective management of external knowledge-based linkages, such as buyer company, competitors, university, suppliers, and subcontractors, can help improve the operational performance. Research limitations/implications: First, our hypothesis was tested on a single case. The analysis of multiple case studies using SNA would provide a deeper understanding of the relationship between the knowledge-based linkages at all levels of the supply chain and the integration of knowledge. Second, the static nature of knowledge flows was studied in this research. Future research could also consider ongoing monitoring of dynamic linkages and the dynamic characteristic of knowledge flows. Originality/value: To the best of our knowledge, the phrase 'knowledge-based linkages' has not been used in the literature and there is lack of investigation on the relationship between the management of internal and external knowledge-based linkages and the operational performance. To bridge the knowledge gap, this paper will show the importance of understanding the composition and characteristics of knowledge-based linkages and their knowledge nodes. In addition, this paper will show that effective management of knowledge-based linkages leads to the creation of new knowledge and improves organizations' operational performance.

Institucionalização do Knowledge Based View: Um Estudo das Práticas Gerenciais de Gestão do Conhecimento e suas Contribuições para a Competitividade das Empresas do Setor Elétrico-eletrônico

A gestão do conhecimento (GC) é uma das recentes abordagens da administração contemporânea, cujo foco engloba o conceito de conhecimento como recurso estratégico, sendo que suas técnicas, práticas e iniciativas gerenciais encontram-se em momento de consolidação. Muitos estudos acadêmicos sobre gestão do conhecimento estão sendo realizados no campo da Administração, com o objetivo de sistematizar os conceitos, as práticas e as contribuições para o poder de competição das empresas (NONAKA e TAKEUCHI, 1997; EISENHARDT e SANTOS, 2000; PROBST, RAUB e ROMHARDT, 2002; DALKIR, 2005). Esta pesquisa objetivou classificar as empresas do setor elétricoeletrônico brasileiro de acordo com o estágio de institucionalização da gestão do conhecimento, bem como verificar as contribuições das práticas de GC para seu poder competitivo. Foi realizado um survey a partir da listagem de 553 empresas elétricas e eletrônicas atuantes no Brasil e participantes da Associação Brasileira da Indústria Elétrica e Eletrônica (ABINEE), tendo sido averiguada uma amostra formada por 56 empresas respondentes. Os principais resultados encontrados foram: a) as empresas pesquisadas estão nos estágios iniciais de institucionalização de GC e b) as contribuições para o poder de competição, realizadas com adoção das práticas de GC, tinham como objetivo fortalecer a cultura de compartilhamento e disseminação do conhecimento, bem como, criar o ambiente favorável para o trabalho em equipe.

ROLE OF ENTERPRISE ARCHITECTURE IN HEALTHCARE ORGANIZATIONS AND KNOWLEDGE-BASED MEDICAL DIAGNOSIS SYSTEM

Enterprise architecture (EA) is a tool that aligns organization’s business-process with application and information technology (IT) through EAmodels. This EA model allows the organization to cut off unnecessary IT expenses and determines the future and current IT requirements and boosts organizational performance. Enterprise architecture may be employed in every firm where the firm or organization requires configurations between information technology and business functions. This research investigates the role of enterprise architecture in healthcare organizations and suggests the suitable EA framework for knowledge-based medical diagnostic system for EA modeling by comparing the two most widely used EA frameworks. The results of the comparison identified that the proposed EA has a better framework for knowledge-based medical diagnostic system.

Public firm sponsorship of open source software: A knowledge-based approach to open innovation

As an emerging innovation paradigm gaining momentum in recent years, the open innovation paradigm is calling for greater theoretical depth and more empirical research. This dissertation proposes that open innovation in the context of open source software sponsorship may be viewed as knowledge strategies of the firm. Hence, this dissertation examines the performance determinants of open innovation through the lens of knowledge-based perspectives. Using event study and regression methodologies, this dissertation found that these open source software sponsorship events can indeed boost the stock market performance of US public firms. In addition, both the knowledge capabilities of the firms and the knowledge profiles of the open source projects they sponsor matter for performance. In terms of firm knowledge capabilities, internet service firms perform better than other firms owing to their advantageous complementary capabilities. Also, strong knowledge exploitation capabilities of the firm are positively associated with performance. In terms of the knowledge profile of sponsored projects, platform projects perform better than component projects. Also, community-originated projects outperform firm-originated projects. Finally, based on these findings, this dissertation discussed the important theoretical implications for the strategic tradeoff between knowledge protection and sharing.

Strategic knowledge management: In search of a knowledge-based organizational model

This paper discusses the results and propositions of organizational knowledge management research conducted in the period 2001-2007. This longitudinal study had the unique goal of investigating and analyzing “Knowledge Management” (KM) processes effectively implemented in world class organizations. The main objective was to investigate and analyze the conceptions, motivations, practices, metrics and results of KM processes implemented in different industries. The first set of studies involved 20 world cases related in the literature and served as a basis for a theoretical framework entitled “KM Integrative Conceptual Mapping Proposition”. This theoretical proposal was then tested in a qualitative study in three large organizations in Brazil. The results of the qualitative study validated the mapping proposition and left questions for new research concerning the implementation of a knowledge-based organizational model strategy.

Towards the Knowledge-based Design of Universal Influenza Epitope Ensemble Vaccines

Motivation: Influenza A viral heterogeneity remains a significant threat due to unpredictable antigenic drift in seasonal influenza and antigenic shifts caused by the emergence of novel subtypes. Annual review of multivalent influenza vaccines targets strains of influenza A and B likely to be predominant in future influenza seasons. This does not induce broad, cross protective immunity against emergent subtypes. Better strategies are needed to prevent future pandemics. Cross-protection can be achieved by activating CD8+ and CD4+ T cells against highly-conserved regions of the influenza genome. We combine available experimental data with informatics-based immunological predictions to help design vaccines potentially able to induce cross-protective T-cells against multiple influenza subtypes. Results: To exemplify our approach we designed two epitope ensemble vaccines comprising highlyconserved and experimentally-verified immunogenic influenza A epitopes as putative non-seasonal influenza vaccines; one specifically targets the US population and the other is a universal vaccine. The USA-specific vaccine comprised 6 CD8+ T cell epitopes (GILGFVFTL, FMYSDFHFI, GMDPRMCSL, SVKEKDMTK, FYIQMCTEL, DTVNRTHQY) and 3 CD4+ epitopes (KGILGFVFTLTVPSE, EYIMKGVYINTALLN, ILGFVFTLTVPSERG). The universal vaccine comprised 8 CD8+ epitopes: (FMYSDFHFI, GILGFVFTL, ILRGSVAHK, FYIQMCTEL, ILKGKFQTA, YYLEKANKI, VSDGGPNLY, YSHGTGTGY) and the same 3 CD4+ epitopes. Our USA-specific vaccine has a population protection coverage (portion of the population potentially responsive to one or more component epitopes of the vaccine, PPC) of over 96% and 95% coverage of observed influenza subtypes. The universal vaccine has a PPC value of over 97% and 88% coverage of observed subtypes.

Preference inference based on Pareto models

In this paper, we consider Preference Inference based on a generalised form of Pareto order. Preference Inference aims at reasoning over an incomplete specification of user preferences. We focus on two problems. The Preference Deduction Problem (PDP) asks if another preference statement can be deduced (with certainty) from a set of given preference statements. The Preference Consistency Problem (PCP) asks if a set of given preference statements is consistent, i.e., the statements are not contradicting each other. Here, preference statements are direct comparisons between alternatives (strict and non-strict). It is assumed that a set of evaluation functions is known by which all alternatives can be rated. We consider Pareto models which induce order relations on the set of alternatives in a Pareto manner, i.e., one alternative is preferred to another only if it is preferred on every component of the model. We describe characterisations for deduction and consistency based on an analysis of the set of evaluation functions, and present algorithmic solutions and complexity results for PDP and PCP, based on Pareto models in general and for a special case. Furthermore, a comparison shows that the inference based on Pareto models is less cautious than some other types of well-known preference model.

Knowledge-based management systems for the police force

Knowledge-Based Management Systems enable new ways to process and analyse knowledge to gain better insights to solve a problem and aid in decision making. In the police force such systems provide a solution for enhancing operations and improving client administration in terms of knowledge management. The main objectives of every police officer is to ensure the security of life and property, promote lawfulness, and avert and distinguish wrongdoing. The administration of knowledge and information is an essential part of policing, and the police ought to be proactive in directing both explicit and implicit knowledge, whilst adding to their abilities in knowledge sharing. In this paper the potential for a knowledge based system for the Mauritius police was analysed, and recommendations were also made, based on requirements captured from interviews with several long standing officers, and surveying of previous works in the area.

Dithienopyrrole-based materials: development of new polymeric derivatives

The possibility to control molar mass and termination of the growing chain is fundamental to create well-defined, reproducible materials. For this reason, in order to apply polydithienopyrrole (PDTP) as organic conjugated polymer, the possibility of controlled polymerization needs to be verified. Another aspect that is still not completely explored is bound to the optical activity of the PDTP, which bearing appropriate substituents may adopt a helical conformation. The configuration of the helix, built up from achiral co-monomers, can be established in an enantiopure way by using only a small percentage of the chiral monomer co-polymerized with achiral co-monomer. The effect, called “sergeants and soldiers effect”, is expressed by the nonlinear increase of the chiral response vs the ratio of the chiral co-monomer used for the polymerization. To date, this effect is still not completely explored for PDTP. In this framework the project will investigate, firstly, the possibility to obtain a controlled polymerization of PDTP. Then, monomers with different side chains and organometallic functions will be screened for a CTCP-type polymerization. Also a Lewis-acid based cationic polymerization will be performed. Moreover the chemical derivatization of dithienopyrrole DTP is explored: the research is going to concern also block copolymers, built up by DTP and monomers of different nature. The research will be extended also to the investigation of optically active derivates of PDTP, using a chiral monomer for the synthesis. The possibility to develop a supramolecular distribution of the polymeric chains, together with the “sergeants and soldiers effect” will be checked investigating a series of polymers with increasing amounts of chiral monomer.

Computational Analysis Based on Parametric Models of Historic Masonry Vaulted Structures Strengthened by Fiber-Reinforced Composite Materials

Historic vaulted masonry structures often need strengthening interventions that can effectively improve their structural performance, especially during seismic events, and at the same time respect the existing setting and the modern conservation requirements. In this context, the use of innovative materials such as fiber-reinforced composite materials has been shown as an effective solution that can satisfy both aspects. This work aims to provide insight into the computational modeling of a full-scale masonry vault strengthened by fiber-reinforced composite materials and analyze the influence of the arrangement of the reinforcement on the efficiency of the intervention. At first, a parametric model of a cross vault focusing on a realistic representation of its micro-geometry is proposed. Then numerical modeling, simulating the pushover analyses, of several barrel vaults reinforced with different reinforcement configurations is performed. Finally, the results are collected and discussed in terms of force-displacement curves obtained for each proposed configuration.

Knowledge-based Chord Embeddings

This thesis develops AI methods as a contribution to computational musicology, an interdisciplinary field that studies music with computers. In systematic musicology a composition is defined as the combination of harmony, melody and rhythm. According to de La Borde, harmony alone "merits the name of composition". This thesis focuses on analysing the harmony from a computational perspective. We concentrate on symbolic music representation and address the problem of formally representing chord progressions in western music compositions. Informally, chords are sets of pitches played simultaneously, and chord progressions constitute the harmony of a composition. Our approach combines ML techniques with knowledge-based techniques. We design and implement the Modal Harmony ontology (MHO), using OWL. It formalises one of the most important theories in western music: the Modal Harmony Theory. We propose and experiment with different types of embedding methods to encode chords, inspired by NLP and adapted to the music domain, using both statistical (extensional) knowledge by relying on a huge dataset of chord annotations (ChoCo), intensional knowledge by relying on MHO and a combination of the two. The methods are evaluated on two musicologically relevant tasks: chord classification and music structure segmentation. The former is verified by comparing the results of the Odd One Out algorithm to the classification obtained with MHO. Good performances (accuracy: 0.86) are achieved. We feed a RNN for the latter, using our embeddings. Results show that the best performance (F1: 0.6) is achieved with embeddings that combine both approaches. Our method outpeforms the state of the art (F1 = 0.42) for symbolic music structure segmentation. It is worth noticing that embeddings based only on MHO almost equal the best performance (F1 = 0.58). We remark that those embeddings only require the ontology as an input as opposed to other approaches that rely on large datasets.

Intellectual capital management in international and Russian software companies

The importance of the company’s intellectual capital (IC) increased during the last decades due to knowledge-based economy development. Despite the clear understanding of the IC importance, researchers agree on the fact that many difficulties in management of intangibles still exist from the both theoretical and practical points of view. The goal of the study is to conduct a comparison of IC management approaches used in international and Russian software companies. To carry out a proper comparison and identify similarities and differences, software firms are explored from the point of view of IC, and then be compared in the context of international and Russian sectors. At the end of the study, current IC management findings in international and Russian software companies are presented, and comparison of IC management is done. It was investigated from the comparison that international and Russian software companies have similarities and few principal differences in several IC management areas. The comparison of IC management approaches between international and Russian software companies provide helpful information to both, researchers and practitioners.

Safer sex choices among African-American college women

The purpose of this dissertation was to explore and describe the factors that influence the safer sex choices of African-American college women. The pandemic of HIV and the prevalence of other sexually transmitted diseases has disproportionately affected African-American females. As young women enter college they are faced with a myriad of choices. Unprotected sexual exploration is one choice that can lead to deadly consequences. This dissertation explores, through in-depth interviews, the factors associated with the decision to practice or not practice safe sex. ^ The first study describes the factors associated with increased sexual risk taking among African-American college women. Sexual risk taking or sex without a condom was found to be more likely when issues of self or partner pleasure were raised. Participants were also likely to have sexual intercourse without a condom if they desired a long term relationship with their partner. ^ The second study examined safe sex decision making processes among a group of African-American college women. Women were found to employ both emotional and philosophical strategies to determine their safe sex behavior. These strategies range from assessing a partner's physical capabilities and appearance to length of the dating relationship. ^ The third study explores the association between knowledge and risk perception as predictors for safer sex behaviors. Knowledge of HIV/AIDS and other STDs was not found to be a determinant of safer sex behavior. Perception of personal risk was also not highly correlated with consistent safer sex behavior. ^ These studies demonstrate the need for risk-based safer sex education and intervention programs. The current climate of knowledge-based program development insures that women will continue to predicate their decision to practice safer sex on their limited perception and understanding of the risks associated with unprotected sexual behavior. Further study into the emotional and philosophical determinants of sexual behavior is necessary for the realistic design of applicable and meaningful interventions. ^

Proceso de expansión urbana, actores y desigualdades

Este artículo busca analizar el proceso de expansión urbana de la ciudad de San Carlos de Bariloche, desde un enfoque de la especialidad y la temporalidad, con miras a comprender, desde sus lógicas de crecimiento, el actual contexto de profunda desigualdad urbana. Los distintos actores hegemónicos, los cuales fueron cambiando a lo largo del tiempo, han marcado el pulso de la urbanización, la expansión del ejido municipal y la aprobación de los loteos que contribuyeron a un crecimiento acelerado, descontrolado y especulativo. Entre ellos se destaca el Estado que desde distintas esferas instituciones, jurisdiccionales y funcionales, ostenta con determinado protagonismo su rol doble como agente y árbitro. Este estudio se ha realizado a partir de un profundo rastreo y análisis de fuentes documentales, muchas inéditas, vinculadas al desarrollo urbano barilochense, desde su fundación en 1902 hasta 2010. Así, con rupturas y continuidades, el crecimiento de esta ciudad media da cuenta de la notable importancia del estudio de los factores que definen modelos de desarrollo urbanos para comprender la complejidad del mosaico urbano actual y su posible mejoramiento.