Essays on Managing Knowledge and Work Related Wellbeing

This study explores the relationship between Intellectual Capital and Maintenance of Work Ability. Intellectual Capital is the central framework for analysing the increasing knowledge-intensiveness of business life. It is characteristic of Intellectual Capital that the intersection of human capital, internal structures and external structures is essential. Maintenance of Work Ability, on the other hand, has been the leading paradigm for Finnish occupational health and safety activities since the late 1980s. It is also a holistic approach that emphasises the interdependence of competence, work community, work environment and health as the key to work-related wellbeing. This thesis consists of five essays that scrutinise the focal phenomena both theoretically and empirically. The conceptual model that results from the first research essay provides a general framework for the whole thesis. The case study in the second essay supports a division of intangible assets into generative and commercially exploitable intangibles introduced in the first essay and further into the primary and secondary dimension of generative intangibles. Further scrutiny of the interaction of generative intangible assets in essay three reveals that employees’ wellbeing enhances the readiness to contribute to the knowledge creation process. The fourth essay shows that the MWA framework could benefit knowledge-intensive work but this would require a different approach than has been commonly adopted in Finland. In essay five, deeper analysis of the MWA framework shows that its potential results from comprehensive support of the functioning of an organisation. The general conclusion of this thesis is that organisations must take care of their employees’ wellbeing in order to secure innovativeness that is the key to surviving in today’s competitive business environment.

Knowledge Sharing in Multinational Corporations - A Social Captal Perspective (summary section only)

Multinational corporations (MNCs) are commonly perceived as networks of differentiated units, dependent for their competitive edge on the sharing of different kinds of internal resources. This ‘differentiated network’ view of the MNC strongly emphasizes the crucial role of interunit knowledge sharing, the topic of this thesis. The five essays presented here contribute to the research on interunit knowledge sharing in MNCs by focusing on the roles played by language, identity, and feedback seeking in the knowledge sharing process. While these factors have occasionally been brought up in previous research as potentially relevant for interunit knowledge sharing, they have so far been subject to limited empirical examination – an important omission which this thesis is an effort to redress. Furthermore, the treatment of the topic is anchored in a theoretical framework based on social capital. This perspective contributes to MNC research by providing a comprehensive framework for examining the significance of social relationships in interunit interaction. The findings can be summarized in two main points. Firstly, language skills and shared identity appear to promote the accumulation of interunit social capital. Secondly, high levels of interunit social capital seem to promote interunit knowledge sharing and feedback seeking. These observations raise a number of both theoretical and practical issues of considerable relevance for MNC management.

Becoming to Know: Essays on Extended Epistemology of Knowledge Creation

This qualitative, explorative study, which comprises four essays, focuses on knowledge management (KM). It seeks to answer the question: How can the knowledge creation theory of KM benefit from social learning theories? While studying the five development phases of knowledge creation theory of KM through 1995-2008 and applying some social learning theories in essays, the concepts of knowing, learning and becoming have emerged. Drawing on these three concepts and on becoming ontology and extended epistemology as research philosophies the study suggests the ‘becoming epistemology’ concept and develops the ‘becoming to know’ framework. The framework proposes becoming as phronesis of dialectic interactions between learning and knowing. It shows how becoming to know evolves as an interplay between concrete experience and logical thinking in the present and in a living context. The proposed framework could be considered a contribution to the current development phase of the knowledge creation theory of KM because it illustrates how ontological and epistemological knowledge spirals come together, which is the essence of the knowledge creation theory of KM.

Framework for enabling highly available distributed applications for utility computing

The move towards IT outsourcing is the first step towards an environment where compute infrastructure is treated as a service. In utility computing this IT service has to honor Service Level Agreements (SLA) in order to meet the desired Quality of Service (QoS) guarantees. Such an environment requires reliable services in order to maximize the utilization of the resources and to decrease the Total Cost of Ownership (TCO). Such reliability cannot come at the cost of resource duplication, since it increases the TCO of the data center and hence the cost per compute unit. We, in this paper, look into aspects of projecting impact of hardware failures on the SLAs and techniques required to take proactive recovery steps in case of a predicted failure. By maintaining health vectors of all hardware and system resources, we predict the failure probability of resources based on observed hardware errors/failure events, at runtime. This inturn influences an availability aware middleware to take proactive action (even before the application is affected in case the system and the application have low recoverability). The proposed framework has been prototyped on a system running HP-UX. Our offline analysis of the prediction system on hardware error logs indicate no more than 10% false positives. This work to the best of our knowledge is the first of its kind to perform an end-to-end analysis of the impact of a hardware fault on application SLAs, in a live system.

Voltage and Temperature Aware Statistical Leakage Analysis Framework Using Artificial Neural Networks

Artificial neural networks (ANNs) have shown great promise in modeling circuit parameters for computer aided design applications. Leakage currents, which depend on process parameters, supply voltage and temperature can be modeled accurately with ANNs. However, the complex nature of the ANN model, with the standard sigmoidal activation functions, does not allow analytical expressions for its mean and variance. We propose the use of a new activation function that allows us to derive an analytical expression for the mean and a semi-analytical expression for the variance of the ANN-based leakage model. To the best of our knowledge this is the first result in this direction. Our neural network model also includes the voltage and temperature as input parameters, thereby enabling voltage and temperature aware statistical leakage analysis (SLA). All existing SLA frameworks are closely tied to the exponential polynomial leakage model and hence fail to work with sophisticated ANN models. In this paper, we also set up an SLA framework that can efficiently work with these ANN models. Results show that the cumulative distribution function of leakage current of ISCAS'85 circuits can be predicted accurately with the error in mean and standard deviation, compared to Monte Carlo-based simulations, being less than 1% and 2% respectively across a range of voltage and temperature values.

Representation of evidence: An approach to uncertainty handling in knowledge-based systems

Many knowledge based systems (KBS) transform a situation information into an appropriate decision using an in built knowledge base. As the knowledge in real world situation is often uncertain, the degree of truth of a proposition provides a measure of uncertainty in the underlying knowledge. This uncertainty can be evaluated by collecting `evidence' about the truth or falsehood of the proposition from multiple sources. In this paper we propose a simple framework for representing uncertainty in using the notion of an evidence space.

Synthesis, Structure, and Magnetic Properties of a New Eight-Connected Metal-Organic Framework (MOF) based on Co-4 Clusters

A hydrothermal reaction of cobalt nitrate, 4,4'-oxybis(benzoic acid) (OBA), 1,2,4-triazole, and NaOH gave rise to a deep purple colored compound Co-4(triazolate)(2)(OBA)(3)], I, possessing Co-4 clusters. The Co-4 clusters are connected together through the tirazolate moieties forming a two-dimensional layer that closely resembles the TiS2 layer. The layers are pillared by the OBA units forming the three-dimensional structure. To the best of our knowledge, this is the first observation of a pillared TiS2 layer in a metal-organic framework compound. Magnetic studies in the temperature range 1.8-300 K indicate strong antiferromagetic interactions for Co-4 clusters. The structure as well as the magnetic behavior of the present compound has been compared with the previously reported related compound Co-2(mu 3-OH)(mu(2)-H2O)(pyrazine)(OBA)(OBAH)] prepared using pyrazine as the linker between the Co-4 clusters.

On-Chip Memory Architecture Exploration Framework for DSP Processor-Based Embedded System on Chip

Today's SoCs are complex designs with multiple embedded processors, memory subsystems, and application specific peripherals. The memory architecture of embedded SoCs strongly influences the power and performance of the entire system. Further, the memory subsystem constitutes a major part (typically up to 70%) of the silicon area for the current day SoC. In this article, we address the on-chip memory architecture exploration for DSP processors which are organized as multiple memory banks, where banks can be single/dual ported with non-uniform bank sizes. In this paper we propose two different methods for physical memory architecture exploration and identify the strengths and applicability of these methods in a systematic way. Both methods address the memory architecture exploration for a given target application by considering the application's data access characteristics and generates a set of Pareto-optimal design points that are interesting from a power, performance and VLSI area perspective. To the best of our knowledge, this is the first comprehensive work on memory space exploration at physical memory level that integrates data layout and memory exploration to address the system objectives from both hardware design and application software development perspective. Further we propose an automatic framework that explores the design space identifying 100's of Pareto-optimal design points within a few hours of running on a standard desktop configuration.

Joint pitch-analysis formant-synthesis framework for CS recovery of speech

A joint analysis-synthesis framework is developed for the compressive sensing (CS) recovery of speech signals. The signal is assumed to be sparse in the residual domain with the linear prediction filter used as the sparse transformation. Importantly this transform is not known apriori, since estimating the predictor filter requires the knowledge of the signal. Two prediction filters, one comb filter for pitch and another all pole formant filter are needed to induce maximum sparsity. An iterative method is proposed for the estimation of both the prediction filters and the signal itself. Formant prediction filter is used as the synthesis transform, while the pitch filter is used to model the periodicity in the residual excitation signal, in the analysis mode. Significant improvement in the LLR measure is seen over the previously reported formant filter estimation.

Shape-function-relationship (SFR) framework for semantic interoperability of product model

The problem of semantic interoperability arises while integrating applications in different task domains across the product life cycle. A new shape-function-relationship (SFR) framework is proposed as a taxonomy based on which an ontology is developed. Ontology based on the SFR framework, that captures explicit definition of terminology and knowledge relationships in terms of shape, function and relationship descriptors, offers an attractive approach for solving semantic interoperability issue. Since all instances of terms are based on single taxonomy with a formal classification, mapping of terms requires a simple check on the attributes used in the classification. As a preliminary study, the framework is used to develop ontology of terms used in the aero-engine domain and the ontology is used to resolve the semantic interoperability problem in the integration of design and maintenance. Since the framework allows a single term to have multiple classifications, handling context dependent usage of terms becomes possible. Automating the classification of terms and establishing the completeness of the classification scheme are being addressed presently.

An exploration framework to identify and track movement of cloud systems

We describe a framework to explore and visualize the movement of cloud systems. Using techniques from computational topology and computer vision, our framework allows the user to study this movement at various scales in space and time. Such movements could have large temporal and spatial scales such as the Madden Julian Oscillation (MJO), which has a spatial scale ranging from 1000 km to 10000 km and time of oscillation of around 40 days. Embedded within these larger scale oscillations are a hierarchy of cloud clusters which could have smaller spatial and temporal scales such as the Nakazawa cloud clusters. These smaller cloud clusters, while being part of the equatorial MJO, sometimes move at speeds different from the larger scale and in a direction opposite to that of the MJO envelope. Hitherto, one could only speculate about such movements by selectively analysing data and a priori knowledge of such systems. Our framework automatically delineates such cloud clusters and does not depend on the prior experience of the user to define cloud clusters. Analysis using our framework also shows that most tropical systems such as cyclones also contain multi-scale interactions between clouds and cloud systems. We show the effectiveness of our framework to track organized cloud system during one such rainfall event which happened at Mumbai, India in July 2005 and for cyclone Aila which occurred in Bay of Bengal during May 2009.

O perfil dos gerentes de projetos do Centro de Informática da Câmara dos Deputados baseado nas competências de conhecimento, desempenho e pessoais do Framework de Desenvolvimento de Competências do Gerente de Projeto

Habilidades interpessoais é uma das especializações necessárias ao gerenciamento de projetos. O planejamento estratégico da Câmara dos Deputados e o do Centro de Informática apontam a tendência para a gestão, tais como gestão de projetos, de processos, de pessoas, por exemplo. Assim como cada projeto é único, cada pessoa é única, com talentos, mas também com necessidade de desenvolvimento de algumas competências e habilidades e mudança de atitudes. Este trabalho visa a identificar o perfil dos gerentes de projetos do Centro de Informática da Câmara dos Deputados baseado nas competências de conhecimento, desempenho e pessoais do Framework de Desenvolvimento de Competências do Gerente de Projeto.

O ZEP Framework: um framework para a criação de métodos para envolvimento de stakeholders no desenvolvimento de soluções de software.

A especificação dos requisitos de software pressupõe que se conheçam os requisitos do sistema do que será parte. Os requisitos do sistema, por sua vez, pressupõem o conhecimento do negócio (business) onde o sistema será utilizado. Para que estes conhecimentos sejam obtidos é importante o envolvimento dos stakeholders tanto no nível de sistema quanto no nível de negócio. As literaturas sobre Engenharia de Requisitos, Engenharia de Software e Engenharia de Sistemas concordam que o envolvimento dos stakeholders é fundamental. O tratamento dispensado ao assunto, no entanto, é pequeno, dada a importância do tema. Esta dissertação, utilizando conceitos da Engenharia de Métodos Situacionais e de Design Science, apresenta o ZEP Framework, um artefato, produzido com o software EPF Composer, que permite a criação de métodos para envolver o stakeholder. Estes métodos, para serem criados, devem levar em consideração as peculiaridades da organização, dos recursos disponíveis e do projeto em si. São apresentados, ainda, alguns cenários, na área de Turismo, como exemplos da utilização do framework.

The EBM-DPSER conceptual model: integrating ecosystem services into the DPSIR framework

There is a pressing need to integrate biophysical and human dimensions science to better inform holistic ecosystem management supporting the transition from single species or single-sector management to multi-sector ecosystem-based management. Ecosystem-based management should focus upon ecosystem services, since they reflect societal goals, values, desires, and benefits. The inclusion of ecosystem services into holistic management strategies improves management by better capturing the diversity of positive and negative human-natural interactions and making explicit the benefits to society. To facilitate this inclusion, we propose a conceptual model that merges the broadly applied Driver, Pressure, State, Impact, and Response (DPSIR) conceptual model with ecosystem services yielding a Driver, Pressure, State, Ecosystem service, and Response (EBM-DPSER) conceptual model. The impact module in traditional DPSIR models focuses attention upon negative anthropomorphic impacts on the ecosystem; by replacing impacts with ecosystem services the EBM-DPSER model incorporates not only negative, but also positive changes in the ecosystem. Responses occur as a result of changes in ecosystem services and include inter alia management actions directed at proactively altering human population or individual behavior and infrastructure to meet societal goals. The EBM-DPSER conceptual model was applied to the Florida Keys and Dry Tortugas marine ecosystem as a case study to illustrate how it can inform management decisions. This case study captures our system-level understanding and results in a more holistic representation of ecosystem and human society interactions, thus improving our ability to identify trade-offs. The EBM-DPSER model should be a useful operational tool for implementing EBM, in that it fully integrates our knowledge of all ecosystem components while focusing management attention upon those aspects of the ecosystem most important to human society and does so within a framework already familiar to resource managers.