Knowledge-based risk management: Survey on Brazilian software development enterprises

A risks management, carried on in an effective way, leads the software development to success and may influence on the organization. The knowledge takes part of such a process as a way to help taking decisions. This research aimed to analyze the use of Knowledge Management techniques to the Risk Management in software projects development and the possible influence on the enterprise revenue. It had, as its main studying subject, Brazilian incubated and graduated software developing enterprises. The chosen research method was the Survey type. Multivariate statistical methods were used for the treatment and analysis of the obtained results, this way identifying the most significant factors, that is, enterprise's achievement constraining factors and those outcome achievement ones. Among the latter we highlight the knowledge methodology, the time of existence of the enterprise, the amount of employees and the knowledge externalization. The results encourage contributing actions to the increasing of financial revenue. © 2013 Springer-Verlag.

Mixed methodology to analyze the relationship between maturity of environmental management and the adoption of green supply chain management in Brazil

The aim of this research is to verify the relationship between the maturity levels of environmental management and the adoption of green supply chain management (GSCM) practices by electro-electronic companies in Brazil. In this work a two-phase research was conducted, with one quantitative and the other qualitative. The quantitative phase aimed to test whether a relationship between the maturity levels of environmental management and GSCM exists, while the qualitative phase tried to detail the characteristics of this relationship. The quantitative phase was conducted through a survey with 100 Brazilian electro-electronic companies and the collected data were processed using Structural Equation Modeling. For the qualitative phase, a multiple case study was conducted with three companies located in Brazil. The results indicate that: (1) The main hypothesis was confirmed and considered statistically valid, indicating that, indeed, the maturity level of environmental management influences the adoption of GSCM practices; (2) a coevolution tends to occur between the environmental maturity and the GSCM practices; that is, the more developed is the company's environmental management, more complex GSCM practices are adopted; and (3) the GSCM internal practices tend to present a greater relative adoption than the external practices; these external practices of GSCM tend to be adopted when the company is inserted in a higher environmental stage and/or operates under a scenario of stronger normative environmental pressure. By the way, this is the first research mixing survey and case studies on GSCM in Brazil. (C) 2014 Elsevier B.V. All rights reserved.

Analysis of the interplay between knowledge and performance management in industrial clusters

The concept of industrial clustering has been studied in-depth by policy makers and researchers from many fields, mainly due to the competitive advantages it may bring to regional economies. Companies often take part in collaborative initiatives with local partners while also taking advantage of knowledge spillovers to benefit from locating in a cluster. Thus, Knowledge Management (KM) and Performance Management (PM) have become relevant topics for policy makers and cluster associations when undertaking collaborative initiatives. Taking this into account, this paper aims to explore the interplay between both topics using a case study conducted in a collaborative network formed within a cluster. The results show that KM should be acknowledged as a formal area of cluster management so that PM practices can support knowledge-oriented initiatives and therefore make better use of the new knowledge created. Furthermore, tacit and explicit knowledge resulting from PM practices needs to be stored and disseminated throughout the cluster as a way of improving managerial practices and regional strategic direction. Knowledge Management Research & Practice (2012) 10, 368-379. doi:10.1057/kmrp.2012.23

Outsourcing and acquisition models comparison related to IT supplier selection decision analysis

This paper presents a comparison of acquisition models related to decision analysis of IT supplier selection. The main standards are: Capability Maturity Model Integration for Acquisition (CMMI-ACQ), ISO / IEC 12207 Information Technology / Software Life Cycle Processes, IEEE 1062 Recommended Practice for Software Acquisition, the IT Infrastructure Library (ITIL) and the Project Management Body of Knowledge (PMBOK) guide. The objective of this paper is to compare the previous models to find the advantages and disadvantages of them for the future development of a decision model for IT supplier selection.

An architectural model for software testing lesson learned systems

Software testing is a key aspect of software reliability and quality assurance in a context where software development constantly has to overcome mammoth challenges in a continuously changing environment. One of the characteristics of software testing is that it has a large intellectual capital component and can thus benefit from the use of the experience gained from past projects. Software testing can, then, potentially benefit from solutions provided by the knowledge management discipline. There are in fact a number of proposals concerning effective knowledge management related to several software engineering processes. Objective: We defend the use of a lesson learned system for software testing. The reason is that such a system is an effective knowledge management resource enabling testers and managers to take advantage of the experience locked away in the brains of the testers. To do this, the experience has to be gathered, disseminated and reused. Method: After analyzing the proposals for managing software testing experience, significant weaknesses have been detected in the current systems of this type. The architectural model proposed here for lesson learned systems is designed to try to avoid these weaknesses. This model (i) defines the structure of the software testing lessons learned; (ii) sets up procedures for lesson learned management; and (iii) supports the design of software tools to manage the lessons learned. Results: A different approach, based on the management of the lessons learned that software testing engineers gather from everyday experience, with two basic goals: usefulness and applicability. Conclusion: The architectural model proposed here lays the groundwork to overcome the obstacles to sharing and reusing experience gained in the software testing and test management. As such, it provides guidance for developing software testing lesson learned systems.

An integrated framework for office information systems design and management

Information Technologies are complex and this is true even in the smallest piece of equipment. But this kind of complexity is nothing comparejwith the one that arises when this technology interact with society. Office Automation has been traditionally considered as a technical field but there is no way to find solutions from a technical point of view when the problems are primarily social in their origin. Technology management has to change its focus from a pure technical perspective to a sociotechnical point of view. To facilitate this change, we propose a model that allows a better understanding between the managerial and the technical world, offering a coherent, complete and integrated perspective of both. The base for this model is an unfolding of the complexity found in information Technologies and a matching of these complexities with several levels considered within the Office, Office Automation and Human Factors dimensions. Each one of these domains is studied trough a set of distinctions that create a new and powerful understanding of its reality. Using this model we build up a map of Office Automation to be use^not only by managers but also by technicians because the primaty advantage of such a framework is that it allows a comprehensive evaluation of technology without requhing extensive technical knowledge. Thus, the model can be seen as principle for design and diagnosis of Office Automation and as a common reference for managers and specialist avoiding the severe limitations arising from the language used by the last

KATS: A Knowledge Acquisition Tool Based on Electronic Document Processing

This paper describes a particular knowledge acquisition tool for the construction and maintenance of the knowledge model of an intelligent system for emergency management in the field of hydrology. This tool has been developed following an innovative approach directed to end-users non familiarized in computer oriented terminology. According to this approach, the tool is conceived as a document processor specialized in a particular domain (hydrology) in such a way that the whole knowledge model is viewed by the user as an electronic document. The paper first describes the characteristics of the knowledge model of the intelligent system and summarizes the problems that we found during the development and maintenance of such type of model. Then, the paper describes the KATS tool, a software application that we have designed to help in this task to be used by users who are not experts in computer programming. Finally, the paper shows a comparison between KATS and other approaches for knowledge acquisition.

Marco de Gobernanza de TI para empresas PyMEs – SMEsITGF

La tecnología de la información y su utilización en las empresas ha sido y es un elemento de debate ya que las organizaciones cuentan con grandes éxitos y grandes fracasos. Gran parte de estos últimos asociados a una falta de visión estratégica integral en relación a la utilización de TI en la organización lo que ha dado lugar al área del conocimiento llamada Gobernanza de TI y a la publicación de numerosos marcos y estándares. Un campo sensible y económicamente muy importante tanto para Uruguay como a nivel mundial son las empresas medianas y pequeñas (PyMEs), las que no logran aplicar de manera efectiva los marcos y estándares, es por esta razón que el objetivo final de esta tesis es el de construir un marco que permita a las PyMEs incorporar un marco efectivo para gobernar y gestionar TI adecuadamente obteniendo el valor esperado de las inversiones realizadas. Para alcanzar este objetivo general se ha realizado un estudio de campo que permita conocer la situación de la gobernanza y la gestión de TI en PyMEs del Uruguay; a partir de este estudio se pudo analizar cuáles son los factores más significativos que no permiten la correcta aplicación de buenas prácticas de gobernanza de TI en éstas empresas. Los resultados encontrados llevaron a la construcción de un marco de gobernanza de TI con foco en PyMEs, a la definición de un modelo de madurez asociado al marco y a una guía de implantación. En el marco de gobernanza propuesto, compatible con el estándar ISO/IEC 38500:2008, se han fortalecido los procesos que, por las características propias de las PyMEs presentan debilidades estructurales y se han reducido o eliminado aquellos que por las mismas razones no son aplicables a este tipo de organización. Finalmente se validaron los resultados en un entorno empresarial definiendo un estudio de caso. Los resultados obtenidos con una mejora porcentual consolidada del 46% en el conjunto de indicadores definidos llevan a considerar que la aplicación del marco fue exitosa. Por ser un estudio de caso único, los resultados no deben ser generalizados y una oportunidad de trabajo futuro es replicar el mismo estudio en otras empresas. ABSTRACT Information technology (IT) and its use in the enterprise context is a discussion element because organizations have numerous successes and failures using it. Most of the IT failed projects have a lack of integral strategic vision in relation with IT use in the organization. This fact has resulted in the IT Governance (ITG) area of knowledge. A large number of standards and frameworks have been published in relation with it. Small and medium enterprises (SMEs) are an important and sensible field in all economies around the world, particularly in Uruguay, an underdeveloped country of South America. Commonly, SMEs cannot apply successfully ITG frameworks because of the intrinsic complexity or because a lack of knowledge and culture respect this field, so the objective of this thesis is build a framework that allows SMEs to incorporate an effective framework to govern and manage IT properly, helping enterprises get the expected value of its IT investments. In a first place, has been conducted a field study to know the quality of actual practices relatively to the ITG and IG management in Uruguayan SMEs. With the obtained results in the study we can make a diagnostic of the most significant factors that prevent the proper application of good IT governance practices in these companies. The obtained results were the inputs to the definition of a IT governance framework with focus in SMEs, a maturity model associated with it and a implementation guide. The proposed framework is ISO/IEC 38500 standard compatible always with an SME vision so, sensible and weak processes have been strengthened and other ones have been eliminated because have no application in these type of organization. Finally the results were validated in a business environment by defining a case study. The results obtained with a consolidated percentage improvement of 46% in the defined set of indicators suggest that the implementation of the framework was successful. As a single case study, the results should not be generalized and an opportunity for future work is to replicate the same study in other companies.

Manutenção de sistemas produtivos: um estudo sobre a gestão da disponibilidade de equipamentos.

Este trabalho traduz um estudo de casos, que procura pesquisar e sistematizar o conhecimento sobre a gestão do estado dos equipamentos para atender às suas funções produtivas, isto é, uma gestão orientada para resultados. A função manutenção tem sido considerada como aquela que agrega conhecimentos e atividades para assegurar a disponibilidade operacional dos sistemas produtivos, dentro de padrões de desempenho antecipadamente especificados, ao menor custo possível e atendendo a requisitos pertinentes de segurança. Nesse contexto, pretende-se caracterizar de que modo abordagens ou políticas, adotadas por empresas selecionadas, que requerem o exercício da função manutenção, se vinculam a indicadores de disponibilidade. Ao longo do trabalho, a disponibilidade é tratada como um \"indicador de resultado\" das atividades de manutenção. Transparece da literatura que a análise da tendência desse indicador deve orientar as tomadas de decisão referentes às ações sobre o equipamento. Desse modo, compete verificar se, e como, é feito o vínculo entre esse indicador e decisões relativas à manutenção, sem perder de vista a produtividade da empresa. Assim, descreve-se o contexto em que se inserem a manutenção e a disponibilidade e são identificados elementos que, interferindo na disponibilidade, permitem desdobrá-la e associá-la a uma estrutura analítica que auxilie o levantamento e encaminhamento de análises sobre os dados obtidos no campo, para melhor percepção do tratamento dado à disponibilidade. Para possibilitar o encaminhamento do estudo de casos e a definição das proposições de pesquisa, a função manutenção é associada a um processo, em que se usa o indicador de disponibilidade como feedback, para a otimização do próprio processo de operação da função manutenção, bem como da especificação dos recursos de entrada desse processo. Três proposições são estruturadas e verificadas em quatro empresas que tipificam dois grupos distintos de operações, focalizando o tratamento dado à disponibilidade, e, no seu âmbito, o tratamento de compromissos de gestão e do estudo do ciclo de vida do equipamento. Para possibilitar uma avaliação objetiva das variáveis das proposições da pesquisa, que são de natureza essencialmente qualitativa, encontrou-se, no Capability Maturity Model (CMM), um modelo conceitual que, por suas características evolutivas, forneceu inspiração para estruturar o necessário instrumento de avaliação. A conclusão da pesquisa revela que as proposições de estudo não se confirmaram de forma plena, apontando sensível diferença de seu atendimento quando se faz a comparação entre os dois grupos de empresas, deixando, assim, um espaço em aberto para novas pesquisas.

Knowledge maintenance and the frame problem

Knowledge maintenance is a major challenge for both knowledge management and the Semantic Web. Operating over the Semantic Web, there will be a network of collaborating agents, each with their own ontologies or knowledge bases. Change in the knowledge state of one agent may need to be propagated across a number of agents and their associated ontologies. The challenge is to decide how to propagate a change of knowledge state. The effects of a change in knowledge state cannot be known in advance, and so an agent cannot know who should be informed unless it adopts a simple ‘tell everyone – everything’ strategy. This situation is highly reminiscent of the classic Frame Problem in AI. We argue that for agent-based technologies to succeed, far greater attention must be given to creating an appropriate model for knowledge update. In a closed system, simple strategies are possible (e.g. ‘sleeping dog’ or ‘cheap test’ or even complete checking). However, in an open system where cause and effect are unpredictable, a coherent cost-benefit based model of agent interaction is essential. Otherwise, the effectiveness of every act of knowledge update/maintenance is brought into question.

PCIM:a project control and inhibiting‐factors management model

In construction projects, the aim of project control is to ensure projects finish on time, within budget, and achieve other project objectives. During the last few decades, numerous project control methods have been developed and adopted by project managers in practice. However, many existing methods focus on describing what the processes and tasks of project control are; not on how these tasks should be conducted. There is also a potential gap between principles that underly these methods and project control practice. As a result, time and cost overruns are still common in construction projects, partly attributable to deficiencies of existing project control methods and difficulties in implementing them. This paper describes a new project cost and time control model, the project control and inhibiting factors management (PCIM) model, developed through a study involving extensive interaction with construction practitioners in the UK, which better reflects the real needs of project managers. A set of good practice checklist is also developed to facilitate implementation of the model. © 2013 American Society of Civil Engineers.

Learning sentiment classification model from labeled features

We propose a novel framework where an initial classifier is learned by incorporating prior information extracted from an existing sentiment lexicon. Preferences on expectations of sentiment labels of those lexicon words are expressed using generalized expectation criteria. Documents classified with high confidence are then used as pseudo-labeled examples for automatical domain-specific feature acquisition. The word-class distributions of such self-learned features are estimated from the pseudo-labeled examples and are used to train another classifier by constraining the model's predictions on unlabeled instances. Experiments on both the movie review data and the multi-domain sentiment dataset show that our approach attains comparable or better performance than exiting weakly-supervised sentiment classification methods despite using no labeled documents.

Joint sentiment/topic model for sentiment analysis

Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. This paper proposes a novel probabilistic modeling framework based on Latent Dirichlet Allocation (LDA), called joint sentiment/topic model (JST), which detects sentiment and topic simultaneously from text. Unlike other machine learning approaches to sentiment classification which often require labeled corpora for classifier training, the proposed JST model is fully unsupervised. The model has been evaluated on the movie review dataset to classify the review sentiment polarity and minimum prior information have also been explored to further improve the sentiment classification accuracy. Preliminary experiments have shown promising results achieved by JST.

Knowledge elicitation supported by simulation

The work reported in this paper is part of a project simulating maintenance operations in an automotive engine production facility. The decisions made by the people in charge of these operations form a crucial element of this simulation. Eliciting this knowledge is problematic. One approach is to use the simulation model as part of the knowledge elicitation process. This paper reports on the experience so far with using a simulation model to support knowledge management in this way. Issues are discussed regarding the data available, the use of the model, and the elicitation process itself.

Knowledge workers and their relationships with organisations

The programme of research examines knowledge workers, their relationships with organisations, and perceptions of management practices through the development of a theoretical model and knowledge worker archetypes. Knowledge worker and non-knowledge worker archetypes were established through an analysis of the extant literature. After an exploratory study of knowledge workers in a small software development company the archetypes were refined to include occupational classification data and the findings from Study 1. The Knowledge Worker Characteristics Model (KWCM) was developed as a theoretical framework in order to analyse differences between the two archetypes within the IT sector. The KWCM comprises of the variables within the job characteristics model, creativity, goal orientation, identification and commitment. In Study 2, a global web based survey was conducted. There were insufficient non-knowledge worker responses and therefore a cluster analysis was conducted to interrogate the archetypes further. This demonstrated, unexpectedly, that that there were marked differences within the knowledge worker archetypes suggesting the need to granulate the archetype further. The theoretical framework and the archetypes were revised (as programmers and web developers) and the research study was refocused to examine occupational differences within knowledge work. Findings from Study 2 identified that there were significant differences between the archetypes in relation to the KWCM. 19 semi-structured interviews were conducted in Study 3 in order to deepen the analysis using qualitative data and to examine perceptions of people management practices. The findings from both studies demonstrate that there were significant differences between the two groups but also that job challenge, problem solving, intrinsic reward and team identification were of importance to both groups of knowledge workers. This thesis presents an examination of knowledge workers’ perceptions of work, organisations and people management practices in the granulation and differentiation of occupational archetypes.