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This study aims to create a classification system enabling users of 3D virtualization software to intuitively perceive the drapability of fabrics.

1,001 fabrics were used, and thickness, bending property, and tensile strength were identified as main mechanical properties influencing drapability; they have been set as independent variables in the model established to predict drape coefficient.

A system to classify fabrics into eight groups by drapability was suggested by a cluster analysis, and a multinomial logistic regression analysis was used to set a model that allows users to predict which group a fabric belongs to from its mechanical properties.

This paper provided basic materials for the construction of a virtual clothing simulation system, which is believed to contribute to cost and time savings in decision-making by reducing the number of trials and errors required by the conventional approach.

The purpose of this study is to investigate whether online apparel shoppers' adoption of product virtualization technologies is facilitated more by hedonic motivations than functional motivations due to the hedonic nature of the product virtualization technologies.

In addition to the focus group interview, two separate online surveys with links to a stimulus web site containing one of the two product virtualization technologies was conducted to a national online shopper sample. The data were analyzed using structural equation modeling by comparing the structural coefficients of hedonic and functional motivations on the attitude toward using the product virtualization technologies. The linear combination of functional and hedonic roles of each technology was examined using discriminant function analysis to see if the results were consistent.

The results showed that the hedonic motivation had a stronger positive relationship than functional motivations with the attitude toward using product virtualization technologies. The empirical findings of this study confirm our proposition that perceived entertainment value is a stronger determinant of attitude toward using product virtualization technologies than perceived usefulness.

The findings of the paper support the idea that the direction of technology acceptance model related research should be drawn by the (functional or hedonic) purpose of the technology/system. Based on the current findings, it seems likely that the predictive importance of the hedonic or functional benefits on attitude toward using a particular technology/system will depend, to a large extent, on the primary purpose of the system/technology.

The COVID-19 virus outbreak began in December 2019 and rapidly spread to every continent on Earth. The analysts have predicted that COVID-19 and other similar pandemics will continue in the coming decade and badly affect offline businesses. As a result, the offline platform is also shifting to the online platform and online demands are increasing daily. The traditional two-dimensional E-Commerce websites are designed to provide simple, browser-based interfaces to allow users to access available products and services. Whilst virtual representations are an essential consideration in establishing trust, most virtual representation sites fall short in mimicking real-life human representation. This paper aims to focus on three-dimensional (3D) E-Commerce technology that presents how virtual reality (VR) and augmented reality (AR) can help deal with limitations and improve E-Commerce operations. It is built as an internet-only tool, a person-centred shopping assistant created following user-centred design principles to be used on various computing platforms, including desktop and mobile devices. The paper shows how VR and AR can offer more precise product information in 3D E-Commerce environments. The virtual store experience is also enhanced by an AR assistant that helps the users by giving them all the required information in audio form or using its avatar.

Implementation of VR and AR in E-Commerce will increase customer satisfaction. Sub hypothesis – to study the implementation of VR in E-Commerce. To study the implementation of AR in E-Commerce. To study the inclusion of E-Commerce sites in an open-world game. To study the customer satisfaction of users using VR stores.

The scope of work is concentrated on the urban Indian market especially targeting the country’s youth who are already or ready to indulge in VR such as video games, cinema and other activities (Mattsson and Barkman, 2019). This demography is more open to learning and using VR. The primary segment of E-Commerce that we are concentrating upon is fashion. Here, the regular user needs to have more immersed knowledge about the product rather than just the written information like how would they look in a dress or will the size available on the website fit me or not.

A perfect system does not exist in the world. A terrible disease has landed on the planet. Very soon, it will be impossible to escape from this current situation. The effects of this plague have been felt in every sector of the world. The researchers also claim that physical stores will continue to exist. There will never be anything that replaces the ability to hold and use products or have personal face-to-face interactions with retail professionals. For the time being, brick-and-mortar retail is having a difficult time, but immersive technology is starting to be used to enhance the in-store experience. The good news is that this should help retailers increase their chances of survival. However, the melody of 3D E-Commerce is it would help out the in-store experience.

This chapter discusses the profound and influential impact the construction industry has on the national economy, together with the huge negative effect it has on the environment. It argues that by adopting smart and industrialised prefabrication (SAIP), the Australian construction industry, and the construction industry globally, is well positioned to leverage the circular economy to advance future industries with less impact on our natural environment. It discusses aspects of the application of digital technologies, specifically building information modelling, virtualisation, augmented and virtual reality and 3D printing, coupled with reverse logistics as a proponent for advancing the circular economy through smart, digitally enabled, industrialised prefabrication. It further postulates a framework for SAIP for the circular economy.

The case depicts an opportunity for undergraduate and postgraduate students to be exposed to the basic digitization of supply chain management, technology adoption, change management and cost-benefit analysis concepts. The study aims to encourage them to use the data given in the case and exhibits to compare and contrast physical and digital supply chains (SC); design the digitized version of the traditional SC; examine the nitty-gritty of technology adoption in the SC context; develop the change management plans for the successful adoption and implementation of SC digitization; design the risk register and Explore the business process management; and conduct the return on investment analysis.

Amber Yen, Chief Operating Officer Apparel Sourcing at Ransys Partners Ltd (RSL), was presented with the task of reducing physical sample production cost and time without impeding order pipeline. RSL was experiencing significant capacity constrain during the COVID-19 crisis, failing to deliver physical samples to international brands. To win large export orders, RSL had to adopt a new innovative way to reduce the sample approval process while meeting customer requirements. Ms Yen wanted to convert the entire sample approval process into a digital mode. She was facing multiple challenges related to the design, implementation and adoption of the digital sample approval process to coordinate the entire SC. She had limited time and was grappling with other impending constraints such as increasing cost, intense competition, demanding customers, shortage of labor due to COVID-19, reducing the bottom line. It was her time to test the idiom “necessity is the mother of innovation”.

The target audience for this case is management or business school students. This case can be used to teach digitization of SC, operations management, organization behavior, digitization of enterprises, IT for business, new service development, supplier management technology adoption, and change management in management or business schools.

Teaching notes are available for educators only.

CSS 9: Operations and Logistics.

The current technique used to measure construction is the conventional total station method. However, the conventional method is time-consuming and could not be used to create a photo-realistic three-dimensional (3D) model of an object. Furthermore, the Canseleri building is located at a slope. The paper aims to discuss this issue.

The aim of this study is to assess the geometric accuracy of a 3D model using unmanned aerial vehicle (UAV) images. There are two objectives in this study. The first is to construct a 3D model of the Canseleri building using UAV images. The second objective is to validate the 3D model of the Canseleri building based on actual measurements.

The close-range photogrammetry method, using the UAV platform, was able to produce a 3D building model. The results show that the errors between the actual measurement and the generated 3D model were less than 4 cm. The accuracy of the 3D model achieved in this study was about 0.015 m, compared to total station measurements.

Accuracy assessment was done by comparing the estimated measurement of the 3D model with the direct measurement. The differences between the measured values with actual values could be compared. Based on this study, the 3D building model gave a reliable accuracy for specific applications.

The purpose of this paper is to investigate the potential integration of deep learning (DL) and digital twins (DT), referred to as (DDT), to facilitate Construction 4.0 through an exploratory analysis.

A mixed approach involving qualitative and quantitative analysis was applied to collect data from global industry experts via interviews, focus groups and a questionnaire survey, with an emphasis on the practicality and interoperability of DDT with decision-support capabilities for process optimization.

Based on the analysis of results, a conceptual model of the framework has been developed. The research findings validate that DL integrated DT model facilitating Construction 4.0 will incorporate cognitive abilities to detect complex and unpredictable actions and reasoning about dynamic process optimization strategies to support decision-making.

The DL integrated DT model will establish an interoperable functionality and develop typologies of models described for autonomous real-time interpretation and decision-making support of complex building systems development based on cognitive capabilities of DT.

The research explores how the technologies work collaboratively to integrate data from different environments in real-time through the interplay of the optimization and simulation during planning and construction. The framework model is a step for the next level of DT involving process automation and control towards Construction 4.0 to be implemented for different phases of the project lifecycle (design–planning–construction).

The evolving visitors' expectations and the unfolding digital transformation compel rethinking on the service offering of museums and cultural institutions. Although digitalization and people-centeredness are widely exploited to enhance the visiting experience, there is limited evidence of their implications on organizational attractiveness. The article investigates this issue, examining the service attributes that entice visitors.

The study collected secondary data from the latest census study by the Italian Institute of Statistics on museums and cultural institutions. Two hierarchical regression models have been run on a sample of large publicly owned organizations (n = 312) to identify the service factors that were most effective in attracting Italian and foreign visitors.

Museums and cultural institutions undergoing a digital transformation were more effective in attracting visitors. The delivery of virtual tours and online events captivated the Italian audience. Foreigners appreciated the opportunity to use applications augmenting the on-site visit.

Digitalization and people-centeredness improve the attractiveness of museums and cultural institutions. Using digital channels to engage visitors fosters their desire to interact with cultural heritage. Furthermore, digitalization enriches the on-site visit, expanding conventional services with virtuality. However, the adverse effects on cultural heritage should be carefully handled.

This study highlights the service attributes that add to the attractiveness of museums and cultural institutions, enabling them to engage visitors and improve the visiting experience.

In the last decade, cloud manufacturing (CMfg) has attracted considerable attention from academia and industry worldwide. It is widely accepted that the design and analysis of cloud manufacturing architecture (CMfg-A) are the basis for developing and applying CMfg systems. However, in existing studies, analysis of the status, development process and internal characteristics of CMfg-A is lacking, hindering an understanding of the research hotspots and development trends of CMfg-A. Meanwhile, effective guidance is lacking on the construction of superior CMfg-As. The purpose of this paper is to review the relevant research on CMfg-A via identification of the main layers, elements, relationships, structure and functions of CMfg-A to provide valuable information to scholars and practitioners for further research on key CMfg-A technologies and the construction of CMfg systems with superior performance.

This study systematically reviews the relevant research on CMfg-A across transformation process to internal characteristics by integrating quantitative and qualitative methods. First, the split and reorganization method is used to recognize the main layers of CMfg-A. Then, the transformation process of six main layers is analysed through retrospective analysis, and the similarities and differences in CMfg-A are obtained. Subsequently, based on systematic theory, the elements, relationships, structure and functions of CMfg-A are inductively studied. A 3D printing architecture design case is conducted to discuss the weakness of the previous architecture and demonstrate how to improve it. Finally, the primary current trends and future opportunities are presented.

By analyzing the transformation process of CMfg-A, this study finds that CMfg-A resources are developing from tangible resources into intangible resources and intelligent resources. CMfg-A technology is developing from traditional cloud computing-based technology towards advanced manufacturing technology, and CMfg-A application scope is gradually expanding from traditional manufacturing industry to emerging manufacturing industry. In addition, by analyzing the elements, relationships, structure and functions of CMfg-A, this study finds that CMfg-A is undergoing a new generation of transformation, with trends of integrated development, intelligent development, innovative development and green development. Case study shows that the analysis of the development trend and internal characteristics of the architecture facilitates the design of a more effective architecture.

This paper predominantly focuses on journal articles and some key conference papers published in English and Chinese. The reason for considering Chinese articles is that CMfg was proposed by the Chinese and a lot of Chinese CMfg-A articles have been published in recent years. CMfg is suitable for the development of China’s manufacturing industry because of China’s intelligent manufacturing environment. It is believed that this research has reached a reliable comprehensiveness that can help scholars and practitioners establish new research directions and evaluate their work in CMfg-A.

Prior studies ignore the identification and analysis of development process and internal characteristics for the current development of CMfg-A, including the main layers identification of different CMfg-As and the transformation process analysis of these main layers, and in-depth analysis of the inner essence of CMfg-A (such as its elements, relationships, structure and functions). This study addresses these limitations and provides a comprehensive literature review.