A list of websites and reading materials on strategy & complexity

The list has been developed based on a broad interpretation of the subject of ‘strategy & complexity’. Resources will therefore more, or less directly relate to ‘being strategic in the face of complexity’. Many of the articles and reports referred to in the attached bibliography can be accessed and downloaded from the internet. Most books can be found at amazon.com where you will often find a number of book reviews and summaries as well. Sometimes, reading the reviews will suffice and will give you the essence of the contents of the book after which you do not need to buy it. If the book looks interesting enough, buying options are easy

COMPETITIVE DYNAMICS IN ELECTRONIC NETWORKS - ACHIEVING COMPETITIVENESS THROUGH INTERORGANIZATIONAL SYSTEMS

Many dramatic and potentially powerful uses of information technology involveinterorganizational systems (IOS). These systems, defined as distributed computing systems thatsupport shared processes between firms, have become fundamental to business operations,spanning multiple activities in value/supply chains. They have opened avenues to unprecedentedcollaborative linkages between firms. As IOS-mediated relational networks are rapidly evolving,roles of IOS have progressively changed beyond those of efficiency and power functions.To fully appreciate modern roles of IOS in e-business, this dissertation addresses two keyresearch questions: (1) How do firms achieve competitiveness through IOS? (2) How do IOSinfluence competitive behaviors of the competing firms in intertwined electronic networks? Itdoes so by integrating three research streams – social network analysis, interorganizationalsystems, and competitive dynamics – into a model of competitive dynamics in electronicnetworks. This study focuses on the paired relationships between the three constructs of networkstructure, IOS use, and competitive action, and empirically investigates nine general hypotheses.Data collection focuses on second-hand data in the automotive industry. A total of 805collaborative relationships, 106 IOS technologies and applications, and 305 competitive actionsinvolving nine major automakers are collected. Data sources include databases, major tradepublications, Web sites, and industry indices. Data analysis includes network analysis, ANOVAtest, and correlation.Empirical results support the general contention that network structure and IOS use coevolveand influence competitive action. Building on these results, a framework characterizingIOS\u27s roles in achieving firm competitiveness is concluded and advanced. This dissertation broadens our view of IOS\u27s roles in e-business. It contributes to IS/IOS theory, methodology, and practice. First, this study examines IOS-mediated networks inmultiple levels, including firm-level, pair-level, and network-level. It provides new theoreticalconceptualizations of IOS\u27s roles. Second, this study advances a new IT value measureaddressing limitations of the traditional measures. Third, it introduces a novel, usefulmethodology for data collection. Fourth, results from this study can guide a firm\u27s e-businessinitiatives for using IOS as powerful tools for achieving firm competitiveness

A STUDY ON CLASSIFICATION OF FACILITY ELEMENTS FOR SUPPORTING PROJECT DEFINITION OF URBAN RENEWAL MEGA PROJECT USING MORPHOLOGICAL BOX METHOD

Urban renewal mega projects consisting of a number of individual projects should be approached from the program level. BIM (Building Information Modeling) can feed information from product models of individual facilities to program management. In order to this end, the projects that are parts of a program have broken down with consistent and integrated manner towards program management. This breakdown including project relations is expressed as PBS (Project Breakdown Structure). Facility breakdown structure that the usage of facility and spatial hierarchy is contemplated was built with morphological box method. Morphological box methods, means to discover and devise morphologies of unbiased, useful and new idea, has extended widely its range of application from space engineering to civil engineering design and architectural design. Data process modeling was designed which is applicable both to geographic information reflecting spatial hierarchy and applicable to BIM reflecting facility breakdown structure. Information on facilities classified according to it is used for economic feasibility analysis on pre-design phase, management in construction phase and facility management in maintenance phase as required. This paper presents a method to define the spatial hierarchy of facilities to support managing urban renewal mega projects at the program level. In order to this end, the project should be classifiedwith a consistent breakdown facility

Software engineering risk management : a method, improvement framework, and empirical evaluation

This dissertation presents a method for software risk management, its improvement framework, and results from its empirical evaluations. More specifically, our objectives were: Develop a comprehensive, theoretically sound, and practical method for software engineering risk management. Develop a framework and supporting software tools for the continuous improvement of software engineering risk management and for improving knowledge about risks. Evaluate the method in practice to provide information on its feasibility, effectiveness, advantages and disadvantages, and to improve it. Although risk management has been considered an important issue in software development and significant contributions to risk management have been made over the past decade, risk management is rarely actively and explicitly applied in practice. Furthermore, most risk management approaches in software engineering use simplistic approaches and fail to account for the biases common in risk perception. We have developed a method, called Riskit, that complements existing risk management approaches by supporting qualitative and structured analysis of risks through a graphical modeling formalism. The method supports multiple stakeholder views to risks by considering their potential utility losses. The Riskit method is comprehensive, i.e., it supports all aspects of risk analysis and risk management planning in a software development project. We propose that our method has a sound theoretical foundation, avoids common biases in risk evaluations, and results in a more thorough understanding of the risks than traditional approaches. Associated with the method, we have also developed a risk management improvement framework that supports continuous, systematic improvement of the risk management process. The improvement framework is based on the Quality Improvement Paradigm, and is supported by the eRiskit application. The eRiskit application supports the management of risks while simultaneously acting as a risk management repository that captures risk management data for improvement purposes. The eRiskit application also acted as a proof of concept for the correctness of the underlying concepts in the Riskit method. We have validated the feasibility and effectiveness of the Riskit method in a series of empirical studies. The empirical studies were designed to provide characterization information and feedback on the method, as well as to act as initial validation of the method. The empirical evaluations showed that the method is feasible in industrial context and it seemed to improve participants' confidence in risk management results. In addition, our research indicates that industry needs sound, systematic, yet cost effective methods for risk management, a common and customized approach to improve communications within an organization, and support and enforcement of the common approach.reviewe

Data Mining; A Conceptual Overview

This tutorial provides an overview of the data mining process. The tutorial also provides a basic understanding of how to plan, evaluate and successfully refine a data mining project, particularly in terms of model building and model evaluation. Methodological considerations are discussed and illustrated. After explaining the nature of data mining and its importance in business, the tutorial describes the underlying machine learning and statistical techniques involved. It describes the CRISP-DM standard now being used in industry as the standard for a technology-neutral data mining process model. The paper concludes with a major illustration of the data mining process methodology and the unsolved problems that offer opportunities for research. The approach is both practical and conceptually sound in order to be useful to both academics and practitioners

Knowledge visualizations: a tool to achieve optimized operational decision making and data integration

The overabundance of data created by modern information systems (IS) has led to a breakdown in cognitive decision-making. Without authoritative source data, commanders’ decision-making processes are hindered as they attempt to paint an accurate shared operational picture (SOP). Further impeding the decision-making process is the lack of proper interface interaction to provide a visualization that aids in the extraction of the most relevant and accurate data. Utilizing the DSS to present visualizations based on OLAP cube integrated data allow decision-makers to rapidly glean information and build their situation awareness (SA). This yields a competitive advantage to the organization while in garrison or in combat. Additionally, OLAP cube data integration enables analysis to be performed on an organization’s data-flows. This analysis is used to identify the critical path of data throughout the organization. Linking a decision-maker to the authoritative data along this critical path eliminates the many decision layers in a hierarchal command structure that can introduce latency or error into the decision-making process. Furthermore, the organization has an integrated SOP from which to rapidly build SA, and make effective and efficient decisions.http://archive.org/details/knowledgevisuali1094545877Outstanding ThesisOutstanding ThesisMajor, United States Marine CorpsCaptain, United States Marine CorpsApproved for public release; distribution is unlimited

Data mining and cluster organisations : the case of PortugalFoods

Even though the concept of clusters received a considerable amount of attention, the literature dedicated to cluster organisations is still very scarce. On the other hand, the widely applicability of data mining to several industries, along with the benefits that it might bring to any organisation, have been the subject of various articles throughout the years. This dissertation intends to assess how could cluster organisations benefit from the application of data mining on the type of services they provide. Through the empirical study of a Portuguese cluster organisation – PortugalFoods – I analysed if data mining represents an opportunity for these governance bodies, particularly if applied as a new support tool on their market intelligence services. Supported by CRISP-DM methodology, and based on data provided by Mintel’s databases, a prototype data mining project was developed. The findings of this study indicate that data mining could enhance PortugalFoods’ market intelligence services, as well as their role as producers and disseminators of knowledge. Yet, challenges were also detected, due to the existence of several data’s problems, which could jeopardize the future replication of this process

Approximating Interfacial Adhesion Energies of Thermal Barrier Coatings

This Ph.D. dissertation is centered on approximating the interfacial adhesion energies of a thermal barrier coating (TBC) within a density functional theory (DFT) framework. The strategy is to develop and validate a computational protocol to study systems which enhance the interfacial adhesion of the thermally grown oxide (TGO) to the Ni (100) substrate. The open source DFT code known as DACAPO, supported through the Technical University of Denmark, was used in this study. The investigation begins with reproducing the model system (SiO2/Ni Complex) energetic values in the DACAPO DFT platform. These results are compared to earlier work which was carried out using the VASP (Vienna AB Initio Simulation Package) platform. The variables investigated in this study included: TGO thickness (since this species grows over time in the field), TGO phase (alpha and beta), lattice mis-match, and thermal expansion stressors. The results from this study highlight a potentially new TGO base material which does not exhibit the shift in electron density (as seen in currently used Al2O3) and provides a more stable TGO network within the thermal barrier coating (TBC). Finally, the protocol mapped out in this investigation can be applied quickly to screen alternative materials in the design of a new TBC system