48,122 research outputs found

    What can AI do for you?

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    Simply put, most organizations do not know how to approach the incorporation of AI into their businesses, and few are knowledgeable enough to understand which concepts are applicable to their business models. Doing nothing and waiting is not an option: Mahidar and Davenport (2018) argue that companies that try to play catch-up will ultimately lose to those who invested and began learning early. But how do we bridge the gap between skepticism and adoption? We propose a toolkit, inclusive of people, processes, and technologies, to help companies with discovery and readiness to start their AI journey. Our toolkit will deliver specific and actionable answers to the operative question: What can AI do for you

    Mobility on Demand in the United States

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    The growth of shared mobility services and enabling technologies, such as smartphone apps, is contributing to the commodification and aggregation of transportation services. This chapter reviews terms and definitions related to Mobility on Demand (MOD) and Mobility as a Service (MaaS), the mobility marketplace, stakeholders, and enablers. This chapter also reviews the U.S. Department of Transportation’s MOD Sandbox Program, including common opportunities and challenges, partnerships, and case studies for employing on-demand mobility pilots and programs. The chapter concludes with a discussion of vehicle automation and on-demand mobility including pilot projects and the potential transformative impacts of shared automated vehicles on parking, land use, and the built environment

    A Testability Analysis Framework for Non-Functional Properties

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    This paper presents background, the basic steps and an example for a testability analysis framework for non-functional properties

    ORGANIZATIONAL TRAINING IN MANUFACTURING FIRMS AND ADVANCED MANUFACTURING TECHNOLOGIES

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    The introduction of new microelectronic technologies in the manufacturing process forces companies to adapt human resource strategy to the changes in the workplace. While this subject has been widely researched from an operations management perspective, research from a human resource management viewpoint has been less frequent. The aim of this article is to gain insight into some of the factors that determine personnel training efforts in companies introducing advanced manufacturing technologies (AMTs.) The study provides empirical evidence from a sector with high rates of technological modernisation.Training, human resources, metal-mechanic sector, companies, Advanced Manufacturing Technologies, AMT.

    Methodology for Designing Decision Support Systems for Visualising and Mitigating Supply Chain Cyber Risk from IoT Technologies

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    This paper proposes a methodology for designing decision support systems for visualising and mitigating the Internet of Things cyber risks. Digital technologies present new cyber risk in the supply chain which are often not visible to companies participating in the supply chains. This study investigates how the Internet of Things cyber risks can be visualised and mitigated in the process of designing business and supply chain strategies. The emerging DSS methodology present new findings on how digital technologies affect business and supply chain systems. Through epistemological analysis, the article derives with a decision support system for visualising supply chain cyber risk from Internet of Things digital technologies. Such methods do not exist at present and this represents the first attempt to devise a decision support system that would enable practitioners to develop a step by step process for visualising, assessing and mitigating the emerging cyber risk from IoT technologies on shared infrastructure in legacy supply chain systems

    Implementation and unification of the ERP system in a global company as a strategic decision for sustainable entrepreneurship

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    This article considered factors connected with the implementation and unification of an ERP (Enterprise Resource Planning) system, and their influence on the sustainable development of global companies. It showed a cognitive model on such impact and gave an example in the form of a case study of a global company listed on the NASDAQ Stock Exchange. The basic strategic objectives of each organization include long-term growth and sustainability. In a growing competitive environment, it is essential to manage the company effectively. This can be achieved provided that the company's organizational structure and operations are properly set from the point of view of the ERP system. The research results were aimed at creating the generalized process of the ERP system's gradual implementation, to make the development of an organization progressive. The paper was focused on describing the implementation and unification of the Enterprise Resource Planning System, in a global company listed on the NASDAQ Stock Exchange. The aim of the paper was to monitor and evaluate, the links between Enterprise Resource Planning and Customer Relationship Management. This process is time consuming and costly. To achieve the aim, the case study was carried out in the form of an expert survey aimed at assessing the impact of the unification and implementation of the ERP system in a global company. The study included methods of systemic analysis, methods of sociological expert survey, a method of qualitative peer review, and a method for a cognitive model. It leads not only to effective management of global companies but enables the monitoring and comparison of Key Performance Indicators and the Net Promoter Score in each country, using the same parameters. The implementation of a unified Enterprise Resource Planning system leads to a significant cost reduction and has a positive impact on the financial indicators reported on the stock exchange. This study highlighted the importance of the implementation of an effective ERP system, to make the development of organizations sustainable.Web of Science108art. no. 291

    BIM adoption and implementation for architectural practices

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    Severe issues about data acquisition and management arise during the design creation and development due to complexity, uncertainty and ambiguity. BIM (Building Information Modelling) is a tool for a team based lean design approach towards improved architectural practice across the supply chain. However, moving from a CAD (Computer Aided Design) approach to BIM (Building Information Modelling) represents a fundamental change for individual disciplines and the construction industry as a whole. Although BIM has been implemented by large practices, it is not widely used by SMEs (Small and Medium Sized Enterprises). Purpose: This paper aims to present a systematic approach for BIM implementation for Architectural SMEs at the organizational level Design/Methodology/Approach: The research is undertaken through a KTP (Knowledge transfer Partnership) project between the University of Salford and John McCall Architects (JMA) a SME based in Liverpool. The overall aim of the KTP is to develop lean design practice through BIM adoption. The BIM implementation approach uses a socio-technical view which does not only consider the implementation of technology but also considers the socio-cultural environment that provides the context for its implementation. The action research oriented qualitative and quantitative research is used for discovery, comparison, and experimentation as it provides �learning by doing�. Findings: The strategic approach to BIM adoption incorporated people, process and technology equally and led to capacity building through the improvements in process, technological infrastructure and upskilling of JMA staff to attain efficiency gains and competitive advantages. Originality/Value: This paper introduces a systematic approach for BIM adoption based on the action research philosophy and demonstrates a roadmap for BIM adoption at the operational level for SME companie
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