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PurposeThe architecture, engineering and construction (AEC) industry encounter substantial risks and challenges in its evolution towards sustainable development. International businesses, multinational AEC organisations, technical professionals, project and portfolio management organisations face global connectivity challenges between business units, especially during the outbreak of novel coronavirus pandemic, to manage construction megaprojects (CMPs). That raises the need to manage global connectivity as a main strategic goal of global organisations. This paper aims to investigate barriers to integrating lean construction (LC) practices and integrated project delivery (IPD) on CMPs towards the global integrated delivery (GID) transformative initiatives and develop future of work (FOW) global initiatives in contemporary multinational AEC organisations.Design/methodology/approachA two-stage quantitative and qualitative research approach is adopted. The qualitative research methodology consists of a literature review to appraise barriers to integrating LeanIPD&GID on CMPs. Barriers are arranged into six-factor clusters (FCs), with a conceptualisation of LeanIPD&GID, GID strategy placements and FOW global initiatives with multiple validations. This analysis also involved semi-structured interviews and focus group techniques. Stage two consisted of an empirical questionnaire survey that shaped the foundation of analysis and findings of 230 respondents from 23 countries with extensive cosmopolitan experience in the construction of megaprojects. The survey examined a set of 28 barriers to integrating LeanIPD&GID on CMPs resulting from a detailed analysis of extant literature after validation. Descriptive and inferential statistical tests were exploited for data analysis, percentage scoring analysis, principal component analysis (PCA) and eigenvalues were used to elaborate on clustered factors.FindingsThe research conceptualised LeanIPD&GID principles and proposed GID strategy placements for LeanIPD&GID transformative initiatives and FOW global initiatives. It concluded that the most significant barriers to integration of LeanIPD&GID on CMPs are "lack of mandatory building information modelling (BIM) and LC industry standards and regulations by governments”, "lack of involvement and support of governments”, "high costs of BIM software licenses”, "resistance of industry to change from traditional working practices” and "high initial investment in staff training costs of BIM”. PCA revealed the most significant FCs are "education and knowledge-related barriers”, "project objectives-related barriers” and "attitude-related barriers”. Awareness of BIM in the Middle East and North Africa (MENA) region is higher than LC and LC awareness is higher than IPD knowledge. Whilst BIM adoption in the MENA region is higher than LC;the second is still taking its first steps, whilst IPD has little implementation. LeanBIM is slightly integrated, whilst LeanIPD integration is almost not present.Originality/valueThe research findings, conclusion and recommendation and proposed GID strategy placements for LeanIPD&GID transformative initiatives to integrating LeanIPD&GID on CMPs. This will allow project key stakeholders to place emphasis on tackling LeanIPD&GID barriers identified in this research and commence GID strategies. The study has provided effective practical strategies for enhancing the integration of LeanIPD&GID transformative initiatives on CMPs.
ABSTRACT
Maatskaplike ondernemings is kritieke rolspelers in ekonomiese groei en dienslewering. Hierdie artikel stel 'n instrument voor wat help om die aspekte te identifiseer wat die volhoubaarheid van maatskaplike ondernemings bei'nvloed. Die instrument is gebaseer op 'n raamwerk wat hoě groei-faktore identifiseer en gebruik die "CRISP-DM" (Kruis-industrie standaard proses vir data ontginning) metodologie en wedersydse inligtingsanalise om 'n praktiese hulpmiddel te ontwikkel wat maatskaplike ondernemings se lewensvatbaarheid en volhoubaarheid ondersteun. Die instrument is toegepas op 'n gevallestudie om te toon hoe praktisyns en sake-eienaars dit kan benut. Boonop wys hierdie artikel ook hoe vakkundiges bykomende insigte kan verkry uit data wat voorheen deur 'n ander metodologie ontleed is.Alternate :Social enterprises are critical players in economic growth and service delivery. This article presents a tool that helps to identify the aspects that affect the sustainability of social enterprises. The tool is based on a framework that identifies high-growth factors and that uses the CRISPDM (Cross-industry standard process for data mining) methodology and mutual information analysis to develop a practical tool to support social enterprises' viability and sustainability. The tool was applied to a case study to exemplify how practitioners and business owners could use it. In addition, this article shows how scholars could gain additional insights from data that had been previously analysed using a different methodology.
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Purpose>This study aims to explore the digital divide between students living in metropolitan and non-metropolitan areas in the Antioquia region of Colombia. This is achieved by collecting data about student interactions from the Moodle learning management system (LMS), and subsequently applying supervised machine learning models to infer the gap between students in metropolitan and non-metropolitan areas.Design/methodology/approach>This work uses the well-established Cross-Industry Standard Process for Data Mining methodology, which comprises six phases, viz., problem understanding, data understanding, data preparation, modelling, evaluation and implementation. In this case, student data was collected from the Moodle platform from the Antioquia campus of the UNAD distance learning university.Findings>The digital divide is evident in the classification model when observing differences in variables such as the number of accesses to the LMS, the total time spent and the number of distinct IP addresses used, as well as the number of system modification events.Originality/value>This study provides conclusions regarding the problems students in virtual education may face as a result of the digital divide in Colombia which have become increasingly visible since the implementation of machine learning methodologies on LMS such as Moodle. However, these practices may be replicated in any virtual educational context and furthermore be extended to enable personalisation of various aspects of the Moodle platform to meet the individual needs of students.
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There are many ways to store data in the modern-day including blob storage such as Amazon web service's S3 or Microsoft Azure's Blob Storage, NoSQL database such as columnar, wide column, object orientated, key-value databases and relational databases. When it comes to maintaining relationship-based data, SQL has been the industry standard for decades. In current times COVID-19 has plagued the world as one of the world's fastest growing pandemics. To fight against the spread, vaccines have been administered to millions of individuals. All this information about vaccine administration has to be stored and potentially made available as a "vaccine passport". We propose to use a full stack solution of MySQL, a relational database, and Python to implement a proof-of-concept solution to store, create, update, and maintain information records about the shots administered and who the shots were administered to as a vaccine passport. © 2022 IEEE.
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This paper presents the design of a small size Unmanned Aerial Vehicle (UAV) using the 3DEXPERIENCE software. The process of designing the frame parts involves many methods to ensure the parts can meet the requirements while conforming to safety and industry standards. The design steps start with the selection of materials that can be used for the drone, which are polylactic acid (PLA), acrylonitrile styrene acrylate (ASA), and acrylonitrile butadiene styrene (ABS). The drone frame consists of four main parts, which are the center top cover (50 g), the side top cover (10 g), the middle cover (30 g), and the drone’s arm (80 g). A simulation was carried out to determine the stress, displacement, and weight of the drone’s parts. Additionally, a trade-off study was conducted to finalize the shapes of the parts and the various inputs based on their priorities. The outcome of this new design can be represented in design concepts, which involve the use of the snap hook function to assemble two body parts together, namely the middle cover and the center top cover, without the need of an additional fastener.
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Modern gyroplane performance was evaluated in limited scope on the FAA certified Calidus. There is no current standard for gyroplane performance testing which has resulted in a poor overall understanding of gyroplanes. The Calidus represents the latest in gyroplane design. It was built using aerospace grade materials, streamlined body shapes, and engines with desirable power-to-weight ratios. Flight testing was conducted by adapting classic techniques from the aviation community for fixed wing and rotary wing aircraft. The project evaluated the effectiveness and necessary adaptations of industry standard flight test techniques for conventional aircraft as they relate to gyroplane performance. Local COVID restrictions limited the scope of the project and the following should be viewed as a work in progress. The salient result thus far is a decrease in specific range as altitude increases. This relationship is opposite that of most aircraft who enjoy improved specific range with increasing altitude. © 2021, American Institute of Aeronautics and Astronautics Inc.. All rights reserved.