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The topic of human skeletal analysis is a sensitive subject in North America. Laws and regulations surrounding research of human skeletal material make it difficult to use these remains to characterize various populations. Recent technology has the potential to solve this dilemma. Three-dimensional (3D) scanning creates virtual models of this material, and stores the information, allowing future studies on the material. The paper aims to discuss these issues.

To assess the potential of this methodology, the authors compared processing time, accuracy and costs of computer tomography (CT) scanner to the Artec Eva portable 3D surface scanner. Using both methodologies the authors scanned and 3D printed one adult individual. The authors hypothesize that the Artec Eva will create digital replicas of <5 percent error based on Buikstra and Ubelaker standard osteometric measurements. Error was tested by comparing the measurements of the skeletal material to the Artec data, CT data and 3D printed data.

Results show that larger bones recorded by the Artec Eva have <5 percent error of the original specimen while smaller more detailed images have >5 percent error. The CT images are closer to <5 percent accuracy, with few bones still >5 percent error. The Artec Eva scanner is inexpensive in comparison to a CT machine, but takes twice as long to process the Eva’s data. The Artec Eva is sufficient in replication of larger elements, but the CT machine is still a preferable means of skeletal replication, particularly for small elements.

This research paper is unique because it compares two common forms of digitization, which has not been done. The authors believe this paper would be of value to natural history curators and various researchers.

A Digital Twin (DT) is a digital replica of an artefact which is updated on real-time or semi–real-time basis. In 2017, Gartner listed DT as one of the top 10 emerging technologies of the year. Since then, there have been numerous attempts to develop architecture and reference models for DTs, and in some studies, DT construction for real-world case studies is reported. This chapter attempts to provide a contextualised background on DT for smart cities. It also discusses various stakeholders involved in devising and/or employing DTs in a smart city. The chapter concludes with a set of recommendations for the training requirements of final DT users.

This study aims to examine the effectiveness (ad attitude, brand attitude and purchase intention) of celebrity endorsement in the form of explicit vs embedded advertising in the context of different new media (digital and social media).

An online experiment was conducted using a 2 (digital media vs social media) × 2 (explicit vs embedded celebrity endorsement) between-subjects design. Participants (n = 137) were exposed to a fictitious piece of online branded content using celebrity endorsement. Four experimental treatments were generated as the authors manipulated the new media and the explicitness of the celebrity endorsement in the ad piece.

The main result highlights that using social media (vs digital media) enhances celebrity endorsement's indirect influence on purchase intention via the serial mediating role of ad attitude and brand attitude, regardless of the explicitness of the message. In terms of the message format, no differences were observed.

The differential power of using celebrities across different new media to promote brands suggests the importance of interactivity in the context of celebrity endorsement. Additionally, the absence of differences in terms of message formats would show that the presence of the celebrity per se has a powerful effect.

Firms using new media to deliver their brand communication, including celebrity endorsements, can better understand the different capabilities of social media and digital media.

In the context in which empirical research equates new media with social media, this study provides an examination of celebrity endorsement assuming the complexity of the celebrity endorsement ion the current scenario: different types of new media and different types of message formats.

Este estudio tiene como objetivo examinar la efectividad (en términos de actitud a la pieza publicitaria, actitud hacia la marca e intención de compra) del celebrity endorsement en la forma de publicidad explícita versus incrustada en el contexto de diferentes tipos de nuevos medios (medios digitales y redes sociales).

Se llevó a cabo un experimento en línea utilizando un diseño between-subjects de 2 (medios digitales vs. redes sociales) × 2 (apoyo explícito vs. incrustado de celebridades). Los participantes (n = 137) fueron expuestos a una pieza online ficticia de contenido de marca en línea que utilizaba celebrity endorsement. Se generaron cuatro tratamientos experimentales, en los cuales los autores manipularon el uso de nuevos medios y el nivel de explicitación del celebrity endorsement en la pieza publicitaria.

Los resultados principales ponen de manifiesto que el uso de las redes sociales (vs. medios digitales) mejora la influencia indirecta del celebrity endorsement en la intención de compra a través del rol de mediación en serie de la actitud hacia la pieza publicitaria y la actitud hacia la marca, independientemente del nivel de explicitación del mensaje. En cuanto al formato del mensaje, no se observaron diferencias.

El poder diferencial del uso de celebridades en diferentes tipos de medios nuevos para promocionar marcas sugiere la importancia de la interactividad en el contexto del celebrity endorsement. Además, la ausencia de diferencias a nivel del formato del mensaje muestra que la presencia de la celebridad per se tiene un efecto relevante.

Según los resultados de los autores, las empresas que utilizan nuevos medios para su comunicación de marca, incluyendo celebrity endorsements, pueden comprender mejor las diferentes capacidades de las redes sociales y los medios digitales.

En un contexto donde la investigación empírica equipara los nuevos medios con las redes sociales, este estudio proporciona un examen del celebrity endorsement considerando la complejidad de la técnica en el actual escenario: diferentes tipos de nuevos medios y diferentes tipos de formatos de mensajes.

At the turn of 2018 and 2019, a certain era in the history of Polish Internet came to an end. Most of the websites of rural tourism facilities hosted on free servers no longer exist; however, the very phenomenon has significantly distinguished itself in the promotion of rural tourism in Poland. The paper presents archaic websites or rural tourism facilities in Poland as digital cultural heritage assets. Its purpose is to propose attributes potentially indicative of content or phenomenon being part of digital cultural heritage.

In total, 211 websites of rural tourism facilities in Poland, hosted on free servers, were analysed. The study investigated digital artefacts, i.e. only the websites that no longer exist but whose archival copies are found at the Internet Archive (IA).

The structure of most websites of rural tourism facilities was based on tables. None of the websites were responsive. The graphics of 132 websites (65%) were never changed, with the oldest recorded copies dating back to 2001 and the newest ones to 2018. On many websites, components that are relatively rarely found these days were noted, e.g. “marquee”-type “floating” objects or online surveys.

The phenomenon of using free-of-charge hosting services by rural tourism facilities in Poland in the years 2004–2012 is part of the history of Polish Internet and an example of digital cultural heritage. Archaic websites of rural tourism facilities in Poland are digital artefacts but not all of them have cultural values. In total, three groups of attributes are proposed that can be important for determining whether a website, content or phenomenon can be considered digital cultural heritage assets.

Digital twins provide enormous opportunities for smart buildings. However, an up-to-date intellectual landscape to understand and identify the major opportunities of digital twins for smart buildings is still not enough. This study, therefore, performs an up-to-date comprehensive literature review to identify the major opportunities of digital twins for smart buildings.

Scientometric and content analysis are utilised to comprehensively evaluate the intellectual landscape of the general knowledge of digital twins for smart buildings.

The study uncovered 24 opportunities that were further categorised into four major opportunities: efficient building performance (smart “building” environment), efficient building process (smart construction site environment), information efficiency and effective user interactions. The study further identified the limitations of the existing studies and made recommendations for future research in the methodology adopted and the research domain. Five research domains were considered for future research, namely “real-time data acquisition, processing and storage”, “security and privacy issues”, “standardised and domain modelling”, “collaboration between the building industry and the digital twin developers” and “skilled workforce to enable a seamless transition from theory to practice”.

All stakeholders, including practitioners, policymakers and researchers in the field of “architecture, engineering, construction and operations” (AECO), may benefit from the findings of this study by gaining an in-depth understanding of the opportunities of digital twins and their implementation in smart buildings in the AECO industry. The limitations and the possible research directions may serve as guidelines for streamlining the practical adoption and implementation of digital twins for smart buildings.

This study adopted scientometric and content analysis to comprehensively assess the intellectual landscape of relevant literature and identify four major opportunities of digital twins for smart building, to which scholars have given limited attention. Finally, a research direction framework is presented to address the identified limitations of existing studies and help envision the ideal state of digital twins for smart buildings.

The recent outbreak of the coronavirus disease 2019 (COVID-19) pandemic has severely disrupted the operations of global supply chains (SCs) providing an opportunity for decision-makers to rethink and tune their existing strategies. To tackle the impacts caused by such a pandemic, this study aims to examine the contextual relations among the factors influencing supply chain viability (SCV) for achieving long-term Sustainable Development Goals (SDGs).

A decision-aid approach by integrating Pareto analysis, grey theory and total interpretive structural modeling (TISM) has been propounded. The proposed approach examines contextual relations among the factors for SCV for small and medium-sized enterprises (SMEs) in an emerging economy. This study contributes to theory, methodology and practice by exploring a new research problem in the context of the SCV and COVID-19 pandemic and by developing a new decision-aid approach.

The findings reveal that the creation of SC digital twin and transformation of SCs to supply networks would help the policymakers to deal with the “new normal.” Also, SC crowdfunding and policy development for health protocols are critical driving factors influencing SCV.

This research work is perhaps one of few initial attempts to advance the theoretical and practical understanding of SCV and to achieve SDGs in industries following a pandemic risk.

The purpose of this paper is to investigate building information modelling (BIM) integrated Internet of Things (IoT) architectures extensively and provide comparative evaluation of those against deciding parameters pertaining to their characteristics and subsequent applications in construction industry.

This paper identifies BIM-integrated cyber physical system frameworks, specific to project objectives, comprising of sensors working as physical assets and BIM-based virtual models acting as the cyber component , connected via wired or wireless protocols (e.g. WiFi, Zigbee, near-field communication, mobile-to-mobile, Zwave, 3 G, 4 G, long-term evolution, 5 G and low-power wide-area networks) and their potential applications in decision-making, visual management, logistics and supply chain management, smart building system management and structural performance assessment, etc. Such proposed architectures are evaluated against deciding parameters such as availability, reliability, mobility, performance, management, scalability, interoperability and security and privacy to evaluate their respective efficiencies.

This study finds that the underlying aim of planned IoT frameworks is to integrate systems and processes for a better information flow and to initiate shift from silo solutions to a smart ecosystem. The efficiencies of such frameworks are completely subjective to their respective project natures, objectives and requirements.

This study is unique in its nature to identify requirements of an efficient BIM-integrated IoT architecture and provide comprehensive insights about potential applications in construction industry.

The physically-demanding and repetitive nature of construction work often exposes workers to work-related musculoskeletal injuries. Real-time information about the ergonomic consequences of workers' postures can enhance their ability to control or self-manage their exposures. This study proposes a digital twin framework to improve self-management ergonomic exposures through bi-directional mapping between workers' postures and their corresponding virtual replica.

The viability of the proposed approach was demonstrated by implementing the digital twin framework on a simulated floor-framing task. The proposed framework uses wearable sensors to track the kinematics of workers' body segments and communicates the ergonomic risks via an augmented virtual replica within the worker's field of view. Sequence-to-sequence long short-term memory (LSTM) network is employed to adapt the virtual feedback to workers' performance.

Results show promise for reducing ergonomic risks of the construction workforce through improved awareness. The experimental study demonstrates feasibility of the proposed approach for reducing overexertion of the trunk. Performance of the LSTM network improved when trained with augmented data but at a high computational cost.

Suggested actionable feedback is currently based on actual work postures. The study is experimental and will need to be scaled up prior to field deployment.

This study reveals the potentials of digital twins for personalized posture training and sets precedence for further investigations into opportunities offered by digital twins for improving health and wellbeing of the construction workforce.

Digital technologies are widely used for digitization of museum and archival heritage and creation of digital, multimedia and online exhibitions, especially in terms of costume history. Digital exhibitions require historical dress forms which were used in the past for costume presentation. The purpose of this paper is to develop a new method for parametric modeling of the nineteenth century dress forms in accordance with fashionable body shape.

Due to limited number of body measurements in historical sizing tables, it is impossible to redesign the morphology of old fashionable body with high accuracy by means of contemporary CAD. The developed method is based on two sources of information: first, historical sizing tables with body measurements; second, historical corsets. By combining both resources and applying virtual try-on technology, the full anthropometric database about the nineteenth century fashionable body shape has been organized and the parametric model of historical dress form has been generated.

The digital replica of deformable parametric dress form was created automatically in accordance with the historical sizing systems and the corsets construction. The process of reproduction of a historical dress form has been done with high accuracy due to substantial advantages of contemporary software.

This study shows new way of anthropometric data generating from the construction of close-fitting and compression undergarments. The developed method and the new database can be applied for each type of dress forms which were used in the second part of the nineteenth century to generate its digital replica in virtual reality. The new approach is joining the digital technologies and the professional knowledge as an important part of cultural heritage for studying, recreating and presenting historical costume.

Digital twin (DT) is an emerging technology that enables sophisticated interaction between physical objects and their virtual replicas. Although DT has recently gained significant attraction in both industry and academia, there is no systematic understanding of DT from its development history to its different concepts and applications in disparate disciplines. The majority of DT literature focuses on the conceptual development of DT frameworks for a specific implementation area. Hence, this paper provides a state-of-the-art review of DT history, different definitions and models, and six types of key enabling technologies. The review also provides a comprehensive survey of DT applications from two perspectives: (1) applications in four product-lifecycle phases, i.e. product design, manufacturing, operation and maintenance, and recycling and (2) applications in four categorized engineering fields, including aerospace engineering, tunneling and underground engineering, wind engineering and Internet of things (IoT) applications. DT frameworks, characteristic components, key technologies and specific applications are extracted for each DT category in this paper. A comprehensive survey of the DT references reveals the following findings: (1) The majority of existing DT models only involve one-way data transfer from physical entities to virtual models and (2) There is a lack of consideration of the environmental coupling, which results in the inaccurate representation of the virtual components in existing DT models. Thus, this paper highlights the role of environmental factor in DT enabling technologies and in categorized engineering applications. In addition, the review discusses the key challenges and provides future work for constructing DTs of complex engineering systems.