Explicating dynamic capabilities for corporate sustainability

Purpose – Differences in corporate commitments to sustainability have attracted increasing attentions of both researchers and practitioners. However, reasons behind such differences still lack a generic theorization. We propose that one source of these differences lies in the development and application of what we refer to as dynamic capabilities for corporate sustainability within the firm. Drawing on the dynamic capabilities view, the objective of this paper is to examine the fundamental role of dynamic capabilities in corporate sustainable development. Design/methodology/approach – The research developed a framework of dynamic capabilities for corporate sustainability and used the approach of content analysis to verify the framework based on the CSR reports of UK leading companies. Findings – The research demonstrates that the dynamic capabilities for corporate sustainability enable firms to monitor the emerging sustainability needs of various stakeholders, seize sustainable development opportunities from the rapidly changing stakeholders’ expectations, and reconfigure existing functional capabilities for corporate sustainability. Practical implications – The framework of dynamic capabilities for corporate sustainability developed in this paper may be used by practitioners to better understand firms’ status in the corporate sustainable development, identify areas of improvement, and more effectively overcome emerging sustainability challenges. Originality/value – This study makes an early attempt to extend the dynamic capabilities perspective to the area of corporate sustainable development.

Interactively developed capabilities:evidence from dyadic servitization relationships

Purpose – The paper challenges the focal firm perspective of much resource/capability research, identifying how a dyadic perspective facilitates identification of capabilities required for servitization. Design/methodology/approach – Exploratory study consisting of seven dyadic relationships in five sectors. Findings – An additional dimension of capabilities should be recognised; whether they are developed independently or interactively (with another actor). The following examples of interactively developed capabilities are identified: knowledge development, where partners interactively communicate to understand capabilities; service enablement, manufacturers work with suppliers and customers to support delivery of new services; service development, partners interact to optimise performance of existing services; risk management, customers work with manufacturers to manage risks of product acquisition/operation. Six propositions were developed to articulate these findings. Research implications/limitations – Interactively developed capabilities are created when two or more actors interact to create value. Interactively developed capabilities do not just reside within one firm and, therefore, cannot be a source of competitive advantage for one firm alone. Many of the capabilities required for servitization are interactive, yet have received little research attention. The study does not provide an exhaustive list of interactively developed capabilities, but demonstrates their existence in manufacturer/supplier and manufacturer/customer dyads. Practical implications – Manufacturers need to understand how to develop capabilities interactively to create competitive advantage and value and identify other actors with whom these capabilities can be developed. Originality/value – Previous research has focused on relational capabilities within a focal firm. This study extends existing theories to include interactively developed capabilities. The paper proposes that interactivity is a key dimension of actors’ complementary capabilities.

Menedzsmentképességek és döntéshozatali közelítésmódok longitudinális elemzése a versenyképesség-kutatások alapján (Longitudinal analysis of management capabilities and decision making approaches based on the competitiveness researches)

Számos korábbi kutatás – köztük a szerzők korábbi vizsgálatai is – azt mutatja, hogy a menedzsmentképességek és a vállalatok versenyképessége között pozitív kapcsolat áll fenn, a jobban teljesítő és a proaktívabb vállalatok rendre felkészültebb, jobb vezetői képességekkel bíró, kockázatvállalóbb vezetőkkel rendelkeznek. Az is megfigyelhető, hogy az ebből a nézőpontból sikeresebben működő vállalatok döntéseiben az átlagosnál is erősebben érvényesül a racionális közelítésmód, melynek alkalmazásával a menedzserek az optimális cselekvési alternatíva kiválasztására törekszenek. A cikkben a szerzők az elmúlt 15 év versenyképességi kutatásainak tapasztalatait összegzik, kiemelt hangsúlyt helyezve a legfrissebb felmérés eredményeire. ________________ The article summarizes the main findings of the Competitiveness Research Program with respect to the skills and capabilities of the Hungarian managers and the decision making approaches they use during their work. The results of the four surveys conducted in 1996, 1999, 2004 and 2009 are fairly stable over time: practice minded behavior, professional expertise, and problem solving skills are on the top of the list of the most developed skills of the Hungarian executives. The rational approach is the most popular among the most widespread decision making models in the authors’ sample which is rather alarming since the present turbulent economic environment may demand more adaptive and intuitive approaches.

A behavior based approach to virus detection

Fast spreading unknown viruses have caused major damage on computer systems upon their initial release. Current detection methods have lacked capabilities to detect unknown viruses quickly enough to avoid mass spreading and damage. This dissertation has presented a behavior based approach to detecting known and unknown viruses based on their attempt to replicate. Replication is the qualifying fundamental characteristic of a virus and is consistently present in all viruses making this approach applicable to viruses belonging to many classes and executing under several conditions. A form of replication called self-reference replication, (SR-replication), has been formalized as one main type of replication which specifically replicates by modifying or creating other files on a system to include the virus itself. This replication type was used to detect viruses attempting replication by referencing themselves which is a necessary step to successfully replicate files. The approach does not require a priori knowledge about known viruses. Detection was accomplished at runtime by monitoring currently executing processes attempting to replicate. Two implementation prototypes of the detection approach called SRRAT were created and tested on the Microsoft Windows operating systems focusing on the tracking of user mode Win32 API system calls and Kernel mode system services. The research results showed SR-replication capable of distinguishing between file infecting viruses and benign processes with little or no false positives and false negatives. ^

Information systems to support decision-making in *construction owner organizations: A data warehousing approach

Construction organizations typically deal with large volumes of project data containing valuable information. It is found that these organizations do not use these data effectively for planning and decision-making. There are two reasons. First, the information systems in construction organizations are designed to support day-to-day construction operations. The data stored in these systems are often non-validated, non-integrated and are available in a format that makes it difficult for decision makers to use in order to make timely decisions. Second, the organizational structure and the IT infrastructure are often not compatible with the information systems thereby resulting in higher operational costs and lower productivity. These two issues have been investigated in this research with the objective of developing systems that are structured for effective decision-making. ^ A framework was developed to guide storage and retrieval of validated and integrated data for timely decision-making and to enable construction organizations to redesign their organizational structure and IT infrastructure matched with information system capabilities. The research was focused on construction owner organizations that were continuously involved in multiple construction projects. Action research and Data warehousing techniques were used to develop the framework. ^ One hundred and sixty-three construction owner organizations were surveyed in order to assess their data needs, data management practices and extent of use of information systems in planning and decision-making. For in-depth analysis, Miami-Dade Transit (MDT) was selected which is in-charge of all transportation-related construction projects in the Miami-Dade county. A functional model and a prototype system were developed to test the framework. The results revealed significant improvements in data management and decision-support operations that were examined through various qualitative (ease in data access, data quality, response time, productivity improvement, etc.) and quantitative (time savings and operational cost savings) measures. The research results were first validated by MDT and then by a representative group of twenty construction owner organizations involved in various types of construction projects. ^

A self -testing approach for autonomic software

As researchers and practitioners move towards a vision of software systems that configure, optimize, protect, and heal themselves, they must also consider the implications of such self-management activities on software reliability. Autonomic computing (AC) describes a new generation of software systems that are characterized by dynamically adaptive self-management features. During dynamic adaptation, autonomic systems modify their own structure and/or behavior in response to environmental changes. Adaptation can result in new system configurations and capabilities, which need to be validated at runtime to prevent costly system failures. However, although the pioneers of AC recognize that validating autonomic systems is critical to the success of the paradigm, the architectural blueprint for AC does not provide a workflow or supporting design models for runtime testing. ^ This dissertation presents a novel approach for seamlessly integrating runtime testing into autonomic software. The approach introduces an implicit self-test feature into autonomic software by tailoring the existing self-management infrastructure to runtime testing. Autonomic self-testing facilitates activities such as test execution, code coverage analysis, timed test performance, and post-test evaluation. In addition, the approach is supported by automated testing tools, and a detailed design methodology. A case study that incorporates self-testing into three autonomic applications is also presented. The findings of the study reveal that autonomic self-testing provides a flexible approach for building safe, reliable autonomic software, while limiting the development and performance overhead through software reuse. ^

Information systems to support decision-making in construction owner organizations : a data warehousing approach

Construction organizations typically deal with large volumes of project data containing valuable information. It is found that these organizations do not use these data effectively for planning and decision-making. There are two reasons. First, the information systems in construction organizations are designed to support day-to-day construction operations. The data stored in these systems are often non-validated, nonintegrated and are available in a format that makes it difficult for decision makers to use in order to make timely decisions. Second, the organizational structure and the IT infrastructure are often not compatible with the information systems thereby resulting in higher operational costs and lower productivity. These two issues have been investigated in this research with the objective of developing systems that are structured for effective decision-making. A framework was developed to guide storage and retrieval of validated and integrated data for timely decision-making and to enable construction organizations to redesign their organizational structure and IT infrastructure matched with information system capabilities. The research was focused on construction owner organizations that were continuously involved in multiple construction projects. Action research and Data warehousing techniques were used to develop the framework. One hundred and sixty-three construction owner organizations were surveyed in order to assess their data needs, data management practices and extent of use of information systems in planning and decision-making. For in-depth analysis, Miami-Dade Transit (MDT) was selected which is in-charge of all transportation-related construction projects in the Miami-Dade county. A functional model and a prototype system were developed to test the framework. The results revealed significant improvements in data management and decision-support operations that were examined through various qualitative (ease in data access, data quality, response time, productivity improvement, etc.) and quantitative (time savings and operational cost savings) measures. The research results were first validated by MDT and then by a representative group of twenty construction owner organizations involved in various types of construction projects.

A Behavior Based Approach to Virus Detection

Fast spreading unknown viruses have caused major damage on computer systems upon their initial release. Current detection methods have lacked capabilities to detect unknown virus quickly enough to avoid mass spreading and damage. This dissertation has presented a behavior based approach to detecting known and unknown viruses based on their attempt to replicate. Replication is the qualifying fundamental characteristic of a virus and is consistently present in all viruses making this approach applicable to viruses belonging to many classes and executing under several conditions. A form of replication called self-reference replication, (SR-replication), has been formalized as one main type of replication which specifically replicates by modifying or creating other files on a system to include the virus itself. This replication type was used to detect viruses attempting replication by referencing themselves which is a necessary step to successfully replicate files. The approach does not require a priori knowledge about known viruses. Detection was accomplished at runtime by monitoring currently executing processes attempting to replicate. Two implementation prototypes of the detection approach called SRRAT were created and tested on the Microsoft Windows operating systems focusing on the tracking of user mode Win32 API system calls and Kernel mode system services. The research results showed SR-replication capable of distinguishing between file infecting viruses and benign processes with little or no false positives and false negatives.

Empowering development: capabilities and Latin American critical traditions

This thesis theoretically and critically examines the move towards people-centred approaches to development. It offers a critical examination of the work of Amartya Sen using theoretical resources emerging from Latin American traditions. Amartya Sen’s calls to understand Development as Freedom (1999) have significantly influenced mainstream development thinking and practice, constituting the clearest example of people-centred approaches to development today. Overcoming the limitations of previous state-centred notions of development articulated around ideas of economic growth, in Sen’s Capability Approach (CA) development is seen as a process of expanding the real freedoms that people enjoy. In this understanding, the agency of development shifts from the state to individuals and the analytic focus moves from economic growth to individual capabilities. In this manner, this framework is structured towards the central goal of empowerment, wherein the expansion of capabilities is seen both as the means and end of development. Since its inception, the widespread support for the CA has allowed for the expansion of ethical considerations within mainstream development thinking. Even while the remarkable advances offered by Sen’s work should be praised, this thesis argues that these have come with new limitations. These limitations stem from, what is termed here, a “Paradox of Empowerment” that effectively encloses Sen’s approach within Western notions of development. While Sen’s approach is poised to provide a theoretical framework that is built on the expansion of freedom and individual agency, there is little agency here to move beyond the ideas of development fundamentally linked to liberal democracies and market economies. This thesis engages with several critical traditions from Latin America, recovering their often undervalued insights for development thinking. Crucially, this engagement provides the critical framework to illustrate the aforementioned paradox and explore multiple dimensions of empowerment central for contemporary development thinking and practice. In this, the thesis engages Sen’s work with the Liberation Theology of Gustavo Gutierrez, with Paulo Freire’s Critical Pedagogy and with the contemporary discussions of ‘Buen Vivir’ associated with Indigenous philosophies of the Andean region. Throughout its chapters,it uncovers the conceptual baggage within the Paradox of Empowerment in Sen’s work and examines the ethical challenges and boundaries of this approach in relation to the collective dimension of development processes, the possibilities for structural transformation and concerns for sustainability. Progressively engaging the different dimensions of this paradox, this thesis advances the recovery of the transformative potential of the ideas of empowerment for development.

Big Data Analytics for Earth Sciences: the EarthServer approach

Big Data Analytics is an emerging field since massive storage and computing capabilities have been made available by advanced e-infrastructures. Earth and Environmental sciences are likely to benefit from Big Data Analytics techniques supporting the processing of the large number of Earth Observation datasets currently acquired and generated through observations and simulations. However, Earth Science data and applications present specificities in terms of relevance of the geospatial information, wide heterogeneity of data models and formats, and complexity of processing. Therefore, Big Earth Data Analytics requires specifically tailored techniques and tools. The EarthServer Big Earth Data Analytics engine offers a solution for coverage-type datasets, built around a high performance array database technology, and the adoption and enhancement of standards for service interaction (OGC WCS and WCPS). The EarthServer solution, led by the collection of requirements from scientific communities and international initiatives, provides a holistic approach that ranges from query languages and scalability up to mobile access and visualization. The result is demonstrated and validated through the development of lighthouse applications in the Marine, Geology, Atmospheric, Planetary and Cryospheric science domains.

Big Data Analytics for Earth Sciences: the EarthServer approach

Big Data Analytics is an emerging field since massive storage and computing capabilities have been made available by advanced e-infrastructures. Earth and Environmental sciences are likely to benefit from Big Data Analytics techniques supporting the processing of the large number of Earth Observation datasets currently acquired and generated through observations and simulations. However, Earth Science data and applications present specificities in terms of relevance of the geospatial information, wide heterogeneity of data models and formats, and complexity of processing. Therefore, Big Earth Data Analytics requires specifically tailored techniques and tools. The EarthServer Big Earth Data Analytics engine offers a solution for coverage-type datasets, built around a high performance array database technology, and the adoption and enhancement of standards for service interaction (OGC WCS and WCPS). The EarthServer solution, led by the collection of requirements from scientific communities and international initiatives, provides a holistic approach that ranges from query languages and scalability up to mobile access and visualization. The result is demonstrated and validated through the development of lighthouse applications in the Marine, Geology, Atmospheric, Planetary and Cryospheric science domains.

A Two-Stage Online Approach for Collaborative Multi-Agent Planning under Uncertainty

In a team of multiple agents, the pursuance of a common goal is a defining characteristic. Since agents may have different capabilities, and effects of actions may be uncertain, a common goal can generally only be achieved through a careful cooperation between the different agents. In this work, we propose a novel two-stage planner that combines online planning at both team level and individual level through a subgoal delegation scheme. The proposal brings the advantages of online planning approaches to the multi-agent setting. A number of modifications are made to a classical UCT approximate algorithm to (i) adapt it to the application domains considered, (ii) reduce the branching factor in the underlying search process, and (iii) effectively manage uncertain information of action effects by using information fusion mechanisms. The proposed online multi-agent planner reduces the cost of planning and decreases the temporal cost of reaching a goal, while significantly increasing the chance of success of achieving the common goal. 

A three dimensional finite volume approach to the thermo-mechanical modelling of the shape casting of metals

This paper presents a three dimensional, thermos-mechanical modelling approach to the cooling and solidification phases associated with the shape casting of metals ei. Die, sand and investment casting. Novel vortex-based Finite Volume (FV) methods are described and employed with regard to the small strain, non-linear Computational Solid Mechanics (CSM) capabilities required to model shape casting. The CSM capabilities include the non-linear material phenomena of creep and thermo-elasto-visco-plasticity at high temperatures and thermo-elasto-visco-plasticity at low temperatures and also multi body deformable contact with which can occur between the metal casting of the mould. The vortex-based FV methods, which can be readily applied to unstructured meshes, are included within a comprehensive FV modelling framework, PHYSICA. The additional heat transfer, by conduction and convection, filling, porosity and solidification algorithms existing within PHYSICA for the complete modelling of all shape casting process employ cell-centred FV methods. The termo-mechanical coupling is performed in a staggered incremental fashion, which addresses the possible gap formation between the component and the mould, and is ultimately validated against a variety of shape casting benchmarks.

Building capacity in the parliaments of Jordan and Morocco : an institutional approach

This thesis examines the parliaments of Jordan and Morocco within an institutional approach. Previous studies of the Middle East and North Africa [MENA] parliaments tended to identify some trends, but most were concerned with the governments’ behaviour rather than examining the extent to which these institutions were working and what their capacity was. This thesis takes an institutional approach as the context for assessing the role of these parliaments, considering in particular their committees and administrative systems. The study emphasizes capacity building to complement the institutional approach adopted. Taking an institutional approach and considering capacity building in the two parliaments the dynamics of environmental factors, the constraints on committees, and administrative capabilities are examined. With this approach, it is possible to identify factors that shaped the current work of the two parliaments ranging from the environment, regulations, political system, and the economic and social identities that may influence the way these parliaments operate. This approach also reveals some of the strengths and weaknesses of the parliamentary practices and the administrative supporting services undertaken, including an explanation of how these parliaments are operating under their respective governing systems. This research offers an empirical study of the chosen parliaments by acknowledging the current levels of capacity and trying to contextualise their identities and capabilities. The findings demonstrate that the institutional approach and capacity building in the two parliaments is highly influenced by a variety of arrangements of legislatures along with the environmental factors affecting the two parliaments’ way of work. This research contributes to institutional and capacity building studies, particularly on the development of parliamentary institutions in the MENA region. This approach recommends the need to undertake further case studies involving other parliaments in the MENA region particularly those accommodating the political transformation towards a new era of vibrant new democracies, not only by rearranging institutional structures, practices and support, but also through cognitive, discursive, and social participation in the two countries’ most prominent institutions – their parliaments.

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.