Determining the antecedents of dynamic supply chain capabilities

Purpose The purpose of this paper is to determine the antecedents of dynamic supply chain capabilities (DSCCs). The authors test entrepreneurial orientation (EO) and supply chain learning orientation (SCLO) as two antecedents of DSCCs. Design/methodology/approach The paper uses structural equation modelling to test a hypothetical model. Data are gathered from a survey of 275 operations managers in Pakistan’s turbulent manufacturing industry. Findings The findings suggest that the weaker direct effects of EO, in comparison to the indirect effects, indicate that an SCLO mediates the relationship between EO and DSCCs. Research limitations/implications It is widely accepted that firms do not compete with each other, instead, it is end-to-end supply chains that fight for market dominance. Many scholars use the dynamic capabilities view to understand supply chain level competition. However, the dynamic capabilities view is firm-centric in its examination of how companies transform internal resources to compete in the external environment. The theoretical contribution of this paper is a roadmap of how to build dynamic, supply-chain level and capabilities by determining the key antecedents. This paper explains that DSCCs emerge when buyers and suppliers share strategic orientations. Firms with an EO and the ability to learn with supply chain partners are well-positioned to develop DSCCs. This provides a new angle to theory testing by indicating that dynamic capabilities are enabled by an EO and an ability to learn with supply chain partners. Practical implications Managers are given the building blocks of DSCCs, starting with fostering an entrepreneurially-oriented mindset in the company and then learning with supply chain partners. Entrepreneurially-oriented managers are encouraged to take risks and co-develop innovative ideas with suppliers during the supply chain learning process. Originality/value This study is one of the earliest efforts to determine the strategic orientations that antecede the emergence of DSCCs

Security Management Framework for the Internet of Things

The increase in the design and development of wireless communication technologies offers multiple opportunities for the management and control of cyber-physical systems with connections between smart and autonomous devices, which provide the delivery of simplified data through the use of cloud computing. Given this relationship with the Internet of Things (IoT), it established the concept of pervasive computing that allows any object to communicate with services, sensors, people, and objects without human intervention. However, the rapid growth of connectivity with smart applications through autonomous systems connected to the internet has allowed the exposure of numerous vulnerabilities in IoT systems by malicious users. This dissertation developed a novel ontology-based cybersecurity framework to improve security in IoT systems using an ontological analysis to adapt appropriate security services addressed to threats. The composition of this proposal explores two approaches: (1) design time, which offers a dynamic method to build security services through the application of a methodology directed to models considering existing business processes; and (2) execution time, which involves monitoring the IoT environment, classifying vulnerabilities and threats, and acting in the environment, ensuring the correct adaptation of existing services. The validation approach was used to demonstrate the feasibility of implementing the proposed cybersecurity framework. It implies the evaluation of the ontology to offer a qualitative evaluation based on the analysis of several criteria and also a proof of concept implemented and tested using specific industrial scenarios. This dissertation has been verified by adopting a methodology that follows the acceptance in the research community through technical validation in the application of the concept in an industrial setting.O aumento no projeto e desenvolvimento de tecnologias de comunicação sem fio oferece múltiplas oportunidades para a gestão e controle de sistemas ciber-físicos com conexões entre dispositivos inteligentes e autônomos, os quais proporcionam a entrega de dados simplificados através do uso da computação em nuvem. Diante dessa relação com a Internet das Coisas (IoT) estabeleceu-se o conceito de computação pervasiva que permite que qualquer objeto possa comunicar com os serviços, sensores, pessoas e objetos sem intervenção humana. Entretanto, o rápido crescimento da conectividade com as aplicações inteligentes através de sistemas autônomos conectados com a internet permitiu a exposição de inúmeras vulnerabilidades dos sistemas IoT para usuários maliciosos. Esta dissertação desenvolveu um novo framework de cibersegurança baseada em ontologia para melhorar a segurança em sistemas IoT usando uma análise ontológica para a adaptação de serviços de segurança apropriados endereçados para as ameaças. A composição dessa proposta explora duas abordagens: (1) tempo de projeto, o qual oferece um método dinâmico para construir serviços de segurança através da aplicação de uma metodologia dirigida a modelos, considerando processos empresariais existentes; e (2) tempo de execução, o qual envolve o monitoramento do ambiente IoT, a classificação de vulnerabilidades e ameaças, e a atuação no ambiente garantindo a correta adaptação dos serviços existentes. Duas abordagens de validação foram utilizadas para demonstrar a viabilidade da implementação do framework de cibersegurança proposto. Isto implica na avaliação da ontologia para oferecer uma avaliação qualitativa baseada na análise de diversos critérios e também uma prova de conceito implementada e testada usando cenários específicos. Esta dissertação foi validada adotando uma metodologia que segue a validação na comunidade científica através da validação técnica na aplicação do nosso conceito em um cenário industrial

Design and implementation of an autonomous, proactive, and reactive software infrastructure to help improving the management level of projects

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de ComputadoresOver the years, collaboration between humans and organizations have been increasing and becoming vital to face new challenges and achieve the greatest common goals. The development of new technologies and internet capabilities promoted the emergence of new collaboration types, i.e., collaboration using software connected through internet (Collaborative Workspaces software). The use of the internet amplifies the range of action and the speed of communication among the actors involved in a collaboration. The collaboration amongst organizations is project-oriented (the common goal is to deal with projects) where several actors involved in the collaboration share their knowledge with each other. These actors are, indeed, the knowledge holders and the system which supports the collaboration has to collect and assess the knowledge from them. For this reason, this thesis aims to design and implement a software infrastructure to capture and capitalize the knowledge created over several projects. Such software is human-centered and has an autonomous, proactive and reactive behaviour to handle all users‟ needs. This software promotes its own continuous learning by analysing humans‟ behaviour over several projects, extracting information from that behaviour, and having Context-awareness. Additionally, it relies on Data mining technologies and semantic services, in order to provide a continuous monitoring of the whole project during its life cycle. The software developed is called “Companion” and has been assessed as a part of the CoSpaces Integrated Project

Context-Aware and Adaptable eLearning Systems

The full text file attached to this record contains a copy of the thesis without the authors publications attached. The list of publications that are attached to the complete thesis can be found on pages 6-7 in the thesis.This thesis proposed solutions to some shortcomings to current eLearning architectures. The proposed DeLC architecture supports context-aware and adaptable provision of eLearning services and electronic content. The architecture is fully distributed and integrates service-oriented development with agent technology. Central to this architecture is that a node is our unit of computation (known as eLearning node) which can have purely service-oriented architecture, agent-oriented architecture or mixed architecture. Three eLeaerning Nodes have been implemented in order to demonstrate the vitality of the DeLC concept. The Mobile eLearning Node uses a three-level communication network, called InfoStations network, supporting mobile service provision. The services, displayed on this node, are to be aware of its context, gather required learning material and adapted to the learner request. This is supported trough a multi-layered hybrid (service- and agent-oriented) architecture whose kernel is implemented as middleware. For testing of the middleware a simulation environment has been developed. In addition, the DeLC development approach is proposed. The second eLearning node has been implemented as Education Portal. The architecture of this node is poorly service-oriented and it adopts a client-server architecture. In the education portal, there are incorporated education services and system services, called engines. The electronic content is kept in Digital Libraries. Furthermore, in order to facilitate content creators in DeLC, the environment Selbo2 was developed. The environment allows for creating new content, editing available content, as well as generating educational units out of preexisting standardized elements. In the last two years, the portal is used in actual education at the Faculty of Mathematics and Informatics, University of Plovdiv. The third eLearning node, known as Agent Village, exhibits a purely agent-oriented architecture. The purpose of this node is to provide intelligent assistance to the services deployed on the Education Pportal. Currently, two kinds of assistants are implemented in the node - eTesting Assistants and Refactoring eLearning Environment (ReLE). A more complex architecture, known as Education Cluster, is presented in this thesis as well. The Education Cluster incorporates two eLearning nodes, namely the Education Portal and the Agent Village. eLearning services and intelligent agents interact in the cluster