S. SOLTANI, K. MORGAN and J. PERAIRE
An upwind unstructured grid cell‐centred scheme for the solution of the compressible Euler and Navier‐Stokes equations in two dimensions is presented. The algorithm employs a…
Abstract
An upwind unstructured grid cell‐centred scheme for the solution of the compressible Euler and Navier‐Stokes equations in two dimensions is presented. The algorithm employs a finite volume formulation. Calculation of the inviscid fluxes is based on the approximate Riemann solver of Roe. Viscous fluxes are obtained from solution gradients computed by a variational recovery procedure. Higher order accuracy is achieved through performing a monotonic linear reconstruction of the solution over each cell. The steady state is obtained by a point implicit time integration of the unsteady equations using local time stepping. For supersonic inviscid flow an alternative space marching algorithm is proposed. This latter approach is applicable to supersonic flow fields containing regions of local subsonic flow. Numerical results are presented to show the performance of the proposed scheme for inviscid and viscous flows.
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R. Hillier, D. Kirk and S. Soltani
The current interest in hypersonic flows is leading to significanteffort both to develop CFD methods and also to provide experimentaldata for their evaluation. In our research we…
Abstract
The current interest in hypersonic flows is leading to significant effort both to develop CFD methods and also to provide experimental data for their evaluation. In our research we attempt to integrateCFD and experiments as closely as possible so much so that most of our experimental model designs are based upon preliminary flow field computations in order to identify likely regions of importance and distribute instrumentation as efficiently as possible. The experiments must also have the CFD requirements clearly in mind. In particular we consider it important to separate evaluation on the numerics (essentially the algorithm) from modelling of the physics (which includes the uncertainties of turbulence modelling) to this end our experiments include laminar studies, for both attached and separated flows, for which the physical equations are known exactly, as well as turbulent flow studies. This paper concentrates mainly on our CFD efforts and presents details of a high resolution solver for viscous flows together with their predictions for a range of problems which are the subject of our current and planned experiments.
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Dheeraj Chandra, Vipul Jain and Felix T.S. Chan
The increasing prevalence of a wide range of infectious diseases, as well as the underwhelming results of vaccination rates that may be traced back to problems with vaccine…
Abstract
Purpose
The increasing prevalence of a wide range of infectious diseases, as well as the underwhelming results of vaccination rates that may be traced back to problems with vaccine procurement and distribution, have brought to the fore the importance of vaccine supply chain (VSC) management in recent years. VSC is the cornerstone of effective vaccination; hence, it is crucial to enhance its performance, particularly in low- and middle-income countries where immunization rates are not satisfactory.
Design/methodology/approach
In this paper, the authors focus on VSC performance improvement of India by proposing supply contracts under demand uncertainty. The authors propose three contracts – wholesale price (WSP), cost sharing (CS) and incentive mechanism (IM) for the government-operated immunization program of India.
Findings
The authors' findings indicate that IM is capable of coordinating the supply chain, whereas the other two contracts are inefficient for the government. To validate the model, it is applied to a real-world scenario of coronavirus disease 2019 (COVID-19) in India, and the findings show that an IM contract improves the overall efficiency of the system by 23.72%.
Originality/value
Previous studies focused mainly on the influenza VSC industry within developed nations. Nonetheless, there exists a dearth of literature pertaining to the examination of supply contracts and their feasibility for immunization programs that are administered by the government and aimed at optimizing societal benefits. The authors' findings can be beneficial to the immunization program of India to optimize their VSC cost.
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Karla M. Acosta, Zahra H. Mohammad, Heyao Yu, Kristen Kirkwood, Kristen Gibson, Jack A. Neal and Sujata A. Sirsat
The purpose of this study was to investigate whether the layout has an effect on cross-contaminations levels at farmers markets.
Abstract
Purpose
The purpose of this study was to investigate whether the layout has an effect on cross-contaminations levels at farmers markets.
Design/methodology/approach
We used social cognitive theory's triadic reciprocity model to investigate how influencing the environment could change the behaviors of farmers’ market consumers and reduce the risk of microbial cross-contamination using a Fluorescent Compound (FC). For this purpose, a 3 × 2 experimental between-subject factorial design was utilized in this study: three farmers market layouts (i.e. U-shaped [U-S], L-shaped [L-S] and square-shaped [S–S]) and two different set-ups per market (i.e. produce and non-produce vendors completely separated, and alternating produce and non-produce vendors). FC was utilized to simulate microbial contamination on the participants (n = 54) hands. The participants were allowed to walk through the layout for 3 min and touch items after which a total of 475 swab samples were processed and recorded for absorbance levels.
Findings
The results indicated that the cross-contamination level of the U-S market was significantly lower (p < 0.001) than those of the L-S and S–S markets. The best market layout and set-up based on the average levels of simulated cross-contamination were the U-S market, particularly with the A set-up, where produce and non-produce booths were scattered.
Originality/value
This study is the first to use the quantification of FC to identify the impact of a farmers’ market layout/design on cross-contamination levels. These results can be used to provide guidance to market managers on layout and design from a safety standpoint to reduce the risk of cross-contamination.
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Oluseyi Julius Adebowale and Justus Ngala Agumba
A significant amount of ozone-depleting chlorofluorocarbons is emitted during the production of building materials. With the world population expected to increase by 21.3% from…
Abstract
Purpose
A significant amount of ozone-depleting chlorofluorocarbons is emitted during the production of building materials. With the world population expected to increase by 21.3% from 2030 to 2050, the demand for construction materials is set to rise, necessitating a shift toward eco-friendly options to preserve the ecosystem. Bamboo emerges as a promising solution to meet sustainable construction goals. This study aims to investigate bamboo’s potential as a sustainable construction material, evaluating its impact on construction productivity and safety.
Design/methodology/approach
A systematic literature review was conducted, using relevant keywords to retrieve journal articles from the Scopus, Web of Science and Google Scholar databases. Articles were screened, and only those meeting the inclusion criteria were reviewed.
Findings
Bamboo offers numerous advantages as a construction material, including cost-effectiveness, abundance and strength, making it a viable alternative to traditional building materials with a reduced environmental impact. However, its widespread acceptance encounters significant challenges. The use of bamboo in construction can both positively and negatively affect productivity and safety in construction organizations.
Practical implications
This study proposes a framework for improvement that construction stakeholders can adopt to enhance bamboo’s utilization in construction while maintaining high productivity and safety standards.
Originality/value
While previous studies have advocated for increased bamboo utilization in construction, this study goes further to explore the implications for productivity and safety in construction.
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Sadia Soltani, Per Vagn Freytag and Susanne Gretzinger
By drawing on previous research on mechanism-based explanations and business-to-business engagement, the purpose of this study is to identify and define mechanisms that enhance…
Abstract
Purpose
By drawing on previous research on mechanism-based explanations and business-to-business engagement, the purpose of this study is to identify and define mechanisms that enhance Internet of Things (IoT) engagement.
Design/methodology/approach
By positioning the study within the paradigm of critical realism (CR), this paper used multiple case study research. This paper applied 12 in-depth, semi-structured interviews, an observation and firm documents as data-gathering tools.
Findings
This paper argues that the higher-level phenomenon (Institutional logic of the IoT ecosystem) leads to a higher-level outcome (IoT engagement). As lower-level situational mechanisms, this paper found IoT readiness and transparency in the ecosystem. Action-formation mechanisms were acknowledged as communication, availability of an IoT interface, and support. Commitment, trust, satisfaction and software maintenance and updates were recognized as transformational mechanisms.
Practical implications
The findings will help managers to understand which mechanisms to focus on when forming engagement strategies for onboarding new actors and strengthening relationships with existing actors. Furthermore, this paper suggests considering the IoT readiness of new actors more critically, as this mechanism was found to be the most crucial one for an early stage of engagement in an IoT ecosystem.
Originality/value
This study helps understand the causal structures behind engagement and enhances the theoretical and practical domain of IoT engagement. In addition, this study demonstrates the value of applying CR for generating knowledge about a phenomenon through causal explanations.
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Behzad Abbasnejad, Sahar Soltani, Amirhossein Karamoozian and Ning Gu
This systematic literature review aims to investigate the application and integration of Industry 4.0 (I4.0) technologies in transportation infrastructure construction projects…
Abstract
Purpose
This systematic literature review aims to investigate the application and integration of Industry 4.0 (I4.0) technologies in transportation infrastructure construction projects focusing on sustainability pillars.
Design/methodology/approach
The study employs a systematic literature review approach, combining qualitative review and quantitative analysis of 142 academic articles published between 2011 and March 2023.
Findings
The findings reveal the dominance of Building Information Modelling (BIM) as a central tool for sustainability assessment, while other technologies such as blockchain and autonomous robotics have received limited attention. The adoption of I4.0 technologies, including Internet of Things (IoT) sensors, Augmented Reality (AR), and Big Data, has been prevalent for data-driven analyses, while Unmanned Aerial Vehicle (UAVs) and 3D printing are mainly being integrated either with BIM or in synergy with Artificial Intelligence (AI). We pinpoint critical challenges including high adoption costs, technical barriers, lack of interoperability, and the absence of standardized sustainability benchmarks.
Originality/value
This research distinguishes itself by not only mapping the current integration of I4.0 technologies but also by advocating for standardization and a synergistic human-technology collaborative approach. It offers tailored strategic pathways for diverse types of transportation infrastructure and different project phases, aiming to significantly enhance operational efficiency and sustainability. The study sets a new agenda for leveraging cutting-edge technologies to meet ambitious future sustainability and efficiency goals, making a compelling case for rethinking how these technologies are applied in the construction sector.
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Muhamad Aizuddin Ibrahim, Wan Mohd Adzim Wan Mohd Zain, Nur Shahirah Mior Shariffuddin, Muaz Azinuddin, Muhammad Nur Hidayat Mohd Salim and Nur Hanifa Zainul
This study investigates how tourists’ local food consumption value, local food experiential value and food culture differences influence food destination image, with food…
Abstract
Purpose
This study investigates how tourists’ local food consumption value, local food experiential value and food culture differences influence food destination image, with food destination attractiveness acting as the mediator. The moderating role of social media influencers is also analysed within this interrelationship.
Design/methodology/approach
This study employed a quantitative research design and purposive sampling to collect data. Partial least square-structural equation modelling (PLS-SEM) was employed to test the research hypotheses, with 312 food tourists participating.
Findings
The results indicate that tourists’ local food consumption value, tourists’ local food experiential value and tourists’ food culture differences positively influence food destination attractiveness, which, in turn, mediates their impact on food destination image. However, the moderating role of social media influencers has a significant but negative effect on the relationship between food destination attractiveness and food destination image.
Practical implications
The research findings indicate that, by considering factors such as overall consumption experiences, cultural differences and social media management, destination stakeholders can capitalise on local food to enhance destination attractiveness and image significantly.
Originality/value
This study provides new insights into the significance of food consumption experiences and their values in tourism while highlighting the critical role of local food culture differences in enhancing each destination’s attractiveness and image. Additionally, it emphasises the subtle influence of social media influencers in promoting destinations, particularly within the context of food tourism.
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Pushpendu Chand and Pradeep Kumar Tarei
Despite IoT’s huge potential, enterprises’ ability to leverage it is their competitive advantage. Thus, competitive differentiation is primarily predicated on leveraging IoT…
Abstract
Purpose
Despite IoT’s huge potential, enterprises’ ability to leverage it is their competitive advantage. Thus, competitive differentiation is primarily predicated on leveraging IoT toward customer needs. To examine the research gap, this study aims to explore the drivers of customer satisfaction and how they are affected by the interaction between IoT capabilities.
Design/methodology/approach
A mixed-method research framework is applied to assess the impact of IoT capabilities on customer satisfaction. Based on the theoretical underpinning of the resource-based view and dynamic capability, the study highlights the importance of IoT capabilities in active resource allocation and effective resource utilization. First, DEMATEL is used capture the interrelationship between IoT capabilities. Further, the impact of each IoT capabilities on customer satisfaction is studied using CoCoSo method.
Findings
The study highlights the importance of IoT capabilities in active resource allocation and effective resource utilization. The findings are enriched through the complementarity of resources in a dynamic business-to-business-to-customer (B2B2C) scenario. The authors expand the IoT capabilities from conventional business-to-business (B2B) or business-to-customer (B2C) scenario to tri-nodal B2B2C relationship triangle.
Practical implications
Based on the findings, the authors offer a business transformation strategy for firms in key areas of customer satisfaction by leveraging IoT. The study can help management prioritize and develop key IoT capabilities to meaningfully increase customer satisfaction metrics.
Originality/value
Building on the dynamic capabilities and resource-based view of the firm, an integrated decision-making research model is proposed. In addition, this study investigates the product and service capabilities unlocked using IoT capabilities. This work can be considered one of the leading attempts to improve customer satisfaction using IoT capabilities from traditional dyadic (B2B or B2C) structure to triadic (B2B2C) framework.
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Samira Baratian and Hamed Fazlollahtabar
This study aims to perform innovation analysis for a product based on market, design and process dimensions. This integrated approach provides sustainability for product design…
Abstract
Purpose
This study aims to perform innovation analysis for a product based on market, design and process dimensions. This integrated approach provides sustainability for product design and development.
Design/methodology/approach
A significant aspect of innovation is investigated to provide energy from the wastes collected in the reverse chain. First, the indicators related to the product opportunity gap were collected and ranked by the structural equation modeling (SEM) method. Indicators with a factor loading above 0.6 are selected and inserted into the proposed mathematical model. The proposed mathematical model was implemented in GAMS 28.2.0 to maximize energy production from waste and minimize the cost of product innovation. A case study on pistachio new packaging process innovation is investigated.
Findings
The results showed that in today’s competitive world where sustainability and the environment are important, the index of converting waste into energy is one of the main indicators of innovation. Consequently, flammability is extracted from the mathematical model as one of the most significant indicators leading to higher energy production with the lowest innovation cost.
Originality/value
New product development (NPD) is significant to sustain market share and satisfy customer needs. Different approaches are proposed to handle NPD, mostly focusing on the customer and design requirements.