44 research outputs found

    Model and management indicators in industrial omnichannel (B2B)

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    The COVID-19 pandemic has driven increases in the provision of services through digital channels, even by more traditional companies. An Omnichannel model of service provision poses new management challenges for companies. This research reviews the literature on Omnichannel Management by companies whose clients are other companies (B2B) and classifies the different areas of research to date. The principal finding is that, despite considerable academic interest in Omnichannel management, there have been few studies of Omnichannel in the B2B field. This emphasizes a significant research gap to address. We have also outlined the Research Agenda to highlight future lines of research

    Why and How do Large-scale Organizations Operationalize DevOps

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    An essential part of organizational efforts is to provide products to customers. To sustain competitive positions on existing markets, and to expand into new markets, firms utilize and continuously optimize approaches to efficiently provide effective products. Meanwhile, applying agile practices is a commoditized way for organizations to better adapt to changes during the development of their products. For bringing products to customers, more than their development is required. Typically, multiple organizational functions, all with individual goals and practices, are included in the development and delivery of products. This is often associated with friction points between those functions, and hinders the optimization of effectiveness and efficiency in providing products to customers. In retrospective, not all firms were able to recalibrate themselves and find back to former success after they had once missed to (again) innovate by timely addressing changes on their existing markets, discovering unmet or changed customer needs, and providing new products that bring together emerging technology with evolving customer demands. This potential threat now appears to be omnipresent with the ongoing proliferation of digitalization through the practical world of all of us. The emerging phenomenon of DevOps, a portmanteau word of “development” and “operations”, describes approaches to streamline development and delivery of products across organizational functions, to efficiently provide effective products, and to enable organizational digitalization efforts. This dissertation sheds light on reasoning, configurational factors, and dynamics behind DevOps implementations in large-scale. The composition of four independent yet interrelated scientific papers, the cornerstones of this dissertation, answers why and how large-scale organizations operationalize DevOps. In sum, this dissertation adds systematic and foundational knowledge, presents new applications and nuanced concretizations of scientific empiric approaches, connects allied but distinct research communities, and provides guidance for practitioners acting in this timely, relevant and interesting domain

    Sistemas de informação na indústria 4.0 : mecanismos de apoio à transferência de dados para conhecimento em ambientes Lean

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    The paradigm that presently emerges in the organizational context, known as Industry 4.0 (I4.0) or Fourth Industrial Revolution, promises to bring principles of connectivity and flexibility to the companies that embrace it. Industry 4.0 enhances the efficiency in adapting in real time to the customers’ requirements, through the establishment of an intelligent shop floor capable of answering in a flexible and customized way to market changes. However, during the last three decades, it is known that the adoption of the Lean philosophy was absorbed by the industrial environment, with results that proved to be exuberant, considering the simplicity of the tools. In this way, the I4.0 implementation must be prepared to preserve the existing manufacturing systems, proceeding, whenever possible, to upgrade them on a Lean excellence basis. It is said that information systems will be decisive in the foundation of the I4.0 paradigm. Of these, MES systems, with greater connection to the shop floor, will tend to be aligned with existing practices, contributing, through their connectivity, to the introduction of knowledge management practices and data visualization mechanisms. In the specification and architecture phase of these systems, understanding the processes will be crucial. Thus, their documentation is an organizational pillar, with BPMN and UML being able to guide it. However, and in addition to its usefulness in the processes’ mapping, BPMN is also likely to be applied in capturing tacit knowledge, which can be a foundation for the constitution of knowledge repositories, impacting organizational excellence. It is in this context that the present work is implanted, aiming at the creation of guidelines and mechanisms that facilitate the implementation of I4.0 strategies in Lean industrial environments. The adopted methodology first went through an exhaustive literature review, in order to find possible bilateral effects between I4.0 technologies and lean tools. Then, the development of some applications aligned with the I4.0 paradigm, as a technological engine, and the Lean philosophy, as a tool for eliminating waste and / or creating value, was contemplated. From the various development experiences in an industrial context and considering the evidence reported in the literature, this study proposes a Lean 4.0 framework oriented to the shop floor.O paradigma que atualmente emerge no contexto organizacional, conhecido como Indústria 4.0 (I4.0) ou Quarta Revolução Industrial, promete trazer princípios de conectividade e flexibilidade às empresas que a adotam. A Indústria 4.0 potencia a eficácia no ajuste em tempo real aos requisitos dos clientes, através da constituição de um chão de fábrica inteligente e capaz de responder de forma flexível e customizada às mudanças do mercado. Contudo, durante as últimas três décadas, sabe-se que a adoção da filosofia Lean foi absorvida pelo meio industrial, com resultados que se demonstraram exuberantes, tendo em conta a simplicidade das ferramentas. Deste modo, a implementação I4.0 deve ser feita no sentido da preservação dos sistemas de manufatura já existentes, procedendo, desde que possível, ao seu upgrade numa base de excelência Lean. Conta-se que os sistemas de informação serão decisivos na fundação do paradigma I4.0. Destes, os sistemas MES, com maior conexão ao chão de fábrica, tenderão a ser alinhados com as práticas já existentes, contribuindo, através da sua conectividade, para a introdução de práticas de gestão do conhecimento e mecanismos de visualização de dados. Na fase de especificação e arquitetura destes sistemas, o entendimento dos processos será crucial. Assim, a documentação dos mesmos é um pilar organizacional, estando o BPMN e a UML capazes de a orientar. Porém, e a somar à sua utilidade na ilustração de processos, o BPMN está igualmente passível de ser aplicado na captação de conhecimento tácito, o que por si pode ser uma base para a constituição de repositórios de conhecimento, contribuindo para a excelência organizacional. É neste contexto que o presente trabalho se insere, tendo como objetivo a criação de linhas orientadoras e mecanismos que facilitem a implementação de estratégias I4.0 em ambientes industriais Lean. A metodologia adotada passou, primeiramente, por uma exaustiva revisão da literatura, por forma a encontrar possíveis efeitos bilaterais entre tecnologias I4.0 e ferramentas lean. De seguida, contemplou-se o desenvolvimento de alguns aplicativos alinhados ao paradigma I4.0, enquanto motor tecnológico, e à filosofia Lean, enquanto ferramenta de eliminação de desperdícios e/ou criação de valor. Das diversas experiências de desenvolvimento em contexto industrial e considerando as evidências reportadas na literatura o presente estudo propõe uma framework Lean 4.0 orientado ao chão de fábrica.Mestrado em Engenharia e Gestão Industria

    Tradition and Innovation in Construction Project Management

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    This book is a reprint of the Special Issue 'Tradition and Innovation in Construction Project Management' that was published in the journal Buildings

    External knowledge sourcing from startups:An analysis of the pre-collaboration phase

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    As digitalization has caused major changes within various traditional industries, firms are forced to explore new technological paths and access knowledge beyond their boundaries. This dissertation focuses on knowledge provided by startups. Besides introducing search approaches and successful search strategies to identify startups, this work also provides insights into how corporations may become attractive partners for startups. In addition, the quality of startup ideas is compared with ideas originating from established suppliers. Finally, this dissertation examines the implications of engaging with startups

    Industry 4.0

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    This book shows a vision of the present and future of Industry 4.0 and identifies and examines the most pressing research issue in Industry 4.0. Containing the contributions of leading researchers and academics, this book includes recent publications in key areas of interest, for example: a review on the Industry 4.0: What is the Industry 4.0, the pillars of Industry 4.0, current and future trends, technologies, taxonomy, and some case studies (A.U.T.O 4.0, stabilization of digitized process). This book also provides an essential tool in the process of migration to Industry 4.0. The book is suitable as a text for graduate students and professionals in the industrial sector and general engineering areas. The book is organized into two sections: 1. Reviews 2. Case Studies Industry 4.0 is likely to play an important role in the future society. This book is a good reference on Industry 4.0 and includes some case studies. Each chapter is written by expert researchers in the sector, and the topics are broad; from the concept or definition of Industry 4.0 to a future society 5.0

    Industry 4.0

    Get PDF
    This book shows a vision of the present and future of Industry 4.0 and identifies and examines the most pressing research issue in Industry 4.0. Containing the contributions of leading researchers and academics, this book includes recent publications in key areas of interest, for example: a review on the Industry 4.0: What is the Industry 4.0, the pillars of Industry 4.0, current and future trends, technologies, taxonomy, and some case studies (A.U.T.O 4.0, stabilization of digitized process). This book also provides an essential tool in the process of migration to Industry 4.0. The book is suitable as a text for graduate students and professionals in the industrial sector and general engineering areas. The book is organized into two sections: 1. Reviews 2. Case Studies Industry 4.0 is likely to play an important role in the future society. This book is a good reference on Industry 4.0 and includes some case studies. Each chapter is written by expert researchers in the sector, and the topics are broad; from the concept or definition of Industry 4.0 to a future society 5.0

    Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

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    Leveraging Dynamic Capabilities for Digital Platform Innovation in the Private Equity Industry

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    Purpose: Digital platforms have out-spun as a powerful tool of digital innovation in today’s competitive business environment. It is reported to disrupt nearly all industries – and to be an enabler of value creation and co-creation between both companies and industries. This master thesis was conducted with the purpose of building an understanding of how a private equity firm can leverage its dynamic capabilities to build and govern a digital platform. Although prior research argues the private equity industry to be a traditional industry with a more conservative approach to digital transformation, it is nevertheless bound to a shift toward digital innovations, such as digital platforms. Methodology: This master thesis followed a qualitative research method with semi-structured interviews. The research objectives are carried out with an in-depth investigation of the dynamic capabilities theory in conjunction with the four phases of the platform lifecycles. Results and analysis: The results and analysis found that through the dynamic capabilities of sensing, seizing, and transforming, the private equity firm was able to build, govern, and expand its digital platform regardless of its nearly non-existing experience in this field. This study demonstrates that when combined with the four phases of a digital platform life cycle, the theory of dynamic capabilities serves as a valuable framework for companies looking to broaden their exposure to new technological opportunities. The dynamic capabilities theory is beneficial for accelerating and capturing value through digital innovation. Based on the findings in this master thesis, it can be used as an enabler for sustaining competitive advantage
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