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Blockchain (BC) has recently gained attention from educational organizations as a reliable and trustworthy technology for storing crucial data. This study aims to explore the factors that influence the students’ intention to use BC to host an automated reward system that is based on objective criteria of students’ performance and activities. Predefined smart contracts would guarantee unbiased judgements and fair rewards.

A mixed method approach is used. Based on an iterative rounds of Delphi approach along with a comprehensive literature review, this research proposed an extended Unified Theory of Acceptance and Use of Technology model. The model hypotheses relate performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), perceived innovativeness (PI), trust (TR), perceived security and privacy (S&P), complexity (CX) and enjoyment (EN) to students behavioural intention to use the reward system. The study tests the hypotheses using survey data from 138 students who are familiar with BC technology and its applications. The data analysis is performed using partial least squares-structural equation modelling method.

The analysis revealed that PE, EE, PI, TR and EN positively affect students’ intention to use the BC rewarding system, while CX negatively impacts it. Conversely, FC and, interestingly, S&P, which showed a significant influence on trust, were found to be insignificant in influencing students’ intention to use the system.

This study significantly contributes to the educational technology field by addressing research gaps regarding the adoption and acceptance of BC technology in academia. Firstly, it proposes a basic form of a student reward system. Secondly, it introduces an empirically validated model of students’ adoption, pinpointing factors influencing their readiness to embrace a BC reward system and providing practical implementation insights.

This conceptual paper articulates an analytical framework, which collectively borrows from the concepts of Sectoral, National and Technological Innovation Systems, for examining the prospects for the emergence of renewable energy industries in a given country. In order to examine the dynamics within the national energy system under consideration, a list of system functions has also been compiled from the literature. It is believed that the adoption of such a functions approach has the potential to enhance our understanding of the process of, and drivers behind, the emergence and transformation of energy innovation systems. Towards the end of this paper, other theoretical concepts are acknowledged as also relevant for investigating the potential establishment of renewable energy industries. While every theoretical approach has its strengths and weaknesses, an effort has been made in this paper to justify the adoption of a suitable framework that is based on the systems of innovation approach.

This paper aims to investigate numerically the turbulent flow characteristics over a backward facing step. Different turbulence models with hybrid computational grid have been used to study the detached flow structure in this case. Comparison between the numerical results and the available experiment data is carried out in the present study. The results of the different turbulence models were in a good agreement with the experimental results. The numerical results also concluded that the k-kl-ω turbulence model gave favorable results compared with the experiment.

It is very important to study the flow characteristics of detached flows. Therefore, the current study investigates numerically the flow characteristics in backward facing step by using two-, three- and seven-equation turbulence models in the finite volume code ANSYS Fluent. In addition, hybrid grid has been used to improve the capability of the unstructured mesh elements for predicting the flow separation in this case. Comparison between the different turbulence models and the available experimental data was done to find the most suitable turbulence model for simulating such cases of detached flows.

The present numerical simulations with the different turbulence models predicted efficiently the flow characteristics over the backward facing step. The transition k-kl-ω gave the best acceptable results compared with experimental data. This is a good concluded remark in the fields of fluid mechanics and hydrodynamics because the phenomenon of flow separation is not easy to be predicted numerically and can affect greatly on the predicted drag of moving bodies in many engineering applications.

The CFD results of using different turbulence models have been validated with the experimental work, and the results of k-kl-ω proven acceptable with flow characteristics. The results of the current study conclude that the use of k-kl-ω turbulence model will contribute towards a more efficient utilization in the fields of fluid mechanics and hydrodynamics.

The use of recycled coarse aggregate in concrete structures promotes environmental sustainability; however, performance of these structures might be negatively impacted when it is used as a replacement to traditional aggregate. This paper aims to simulate recycled concrete beams strengthened with carbon fiber-reinforced polymer (CFRP), to advance the modeling and use of recycled concrete structures.

To investigate the performance of beams with recycled coarse aggregate concrete (RCAC), finite element models (FEMs) were developed to simulate 12 preloaded RCAC beams, strengthened with two CFRP strengthening schemes. Details of the modeling are provided including the material models, boundary conditions, applied loads, analysis solver, mesh analysis and computational efficiency.

Using FEM, a parametric study was carried out to assess the influence of CFRP thickness on the strengthening efficiency. The FEM provided results in good agreement with those from the experiments with differences and standard deviation not exceeding 11.1% and 3.1%, respectively. It was found that increasing the CFRP laminate thickness improved the load-carrying capacity of the strengthened beams.

The developed models simulate the preloading and loading up to failure with/without CFRP strengthening for the investigated beams. Moreover, the models were validated against the experimental results of 12 beams in terms of crack pattern as well as load, deflection and strain.

The purpose of this paper is to address the following questions: how do consumers construct meaning around their inconspicuous luxury fashion experiences? What desires do inconspicuous consumers strive to fulfill? What sentiments do they associate with their inconspicuous luxury fashion consumption?

This exploratory research begins with a netnographic study of 11 online luxury blogs followed by in-depth interviews and home observations of ten luxury consumers with inconspicuous preferences in Dubai.

Inconspicuous choices are not simply for associative or dissociative motivations but several symbolic consumption schemas come into play. A typology of inconspicuous luxury fashion consumers has emerged: fashion influencers, trendsetters, fashion followers, and luxe conservatives.

The findings have potential to yield important managerial implications for fashion retailers and brand communications. The typology of inconspicuous consumers provides a basis for developing a more targeted relationship marketing program for luxury fashion brands.

This research advances luxury knowledge in fashion and consumer behavior research by unveiling how consumers construct meanings around their inconspicuous consumption. The typology developed in this study marks the starting point for further extensions to explore the complexities of inconspicuous luxury consumers, which are grounded in the roles they take on in society, how they plan their luxury consumption journey and how they eventually use these possessions for self-identification and communication to others.

This study aimed to investigate the lesbian, gay, bisexual, transgender and queer (LGBTQ) hotel selection criteria.

A thematic analysis was performed to explore 104 LGBTQ traveler comments based on TripAdvisor's top five LGBTQ hotels in Thailand.

The results indicated that tangible and intangible hotel attributes influence the LGBTQ community's hotel selection.

The results emphasize the need for hoteliers to understand the diversity of the LGBTQ community's hotel selection criteria and adjust or adopt different marketing strategies to engage and attract LGBTQ travelers.

This study contributes to the tourism literature by showing the importance of recognizing the LGBTQ community's hotel selection criteria and providing recommendations to improve product quality and services of hotels.

The purpose of this paper is first to examine the effect of client-led and contractor-led supply chain initiatives on project performance in the Indian construction industry and second to assess how the client-led supply chain initiatives complement the contractor-led supply chain initiatives.

In this study, the effects of the client-led supply chain initiatives (reward power and competence trust of the construction clients) and the contractor-led supply chain initiatives (contractor integration and calculative commitment of the contractor) on project performance in construction projects are examined. The data were collected from 346 construction professionals working in Indian construction projects using purposive sampling. The proposed hypotheses were tested using structural equation modeling.

The contractor-led supply chain initiatives, in the form of contractor integration and the calculative relationship commitment of a contractor, were found to be strong mediators, indirectly affecting the project performance. On the other hand, the client-led supply chain initiatives, in the form of the reward power of the client and the competence trust of the client, directly influence the project performance.

This study reports the inevitable bias on the part of participants, who responded to the survey either in the capacity of client or contractor, although they might have executed projects in both capacities. Future studies could benefit from the use of objective data instead of behavioral data.

This study helps construction firms understand how to demarcate the client and contractor roles in the construction supply chain to improve the project performance.

The originality of this study lies in its investigation of the influence of client-led supply chain initiatives and contractor-led supply chain initiatives on project performance.

Aimed at the complex failure modes of composite pi joint, the material elastic modulus degradation method was applied to simulate the progressive failure procedure. A three-dimensional finite element model of one type composite pi joint was established based on the commercial finite element software Abaqus. Two progressive failure analysis subroutines considering both the composite laminates and adhesive failures were developed within Abaqus/Standard. One of them is based on Hashin three-dimensional failure criteria and Ye-delamination criterion to distinguish five failure modes of composite laminates: fiber breakage, fiber buckling, matrix tensile cracking, matrix compression, and delamination failure. The other is based on Tsai-Wu criterion to discriminate the composite failure. Additionally, an elastic-perfectly plastic material model was applied in the subroutines to simulate the adhesive failure. The established pi joint model was analyzed under given increasing tensile loads. The numerical results show that the proposed method is effective in predicting initial failure position, initial failure load, final failure load and failure modes for the present composite pi joint.

Mauritius is a Small Island Development State (SIDS) with limited resources, and it has been witnessed that many containers used for storing household and industrial products are made from plastic. When discarded as waste, those plastic containers pose a serious environmental and economic challenge for Mauritius. Moreover, landfill space is getting increasingly scarce, and plastic waste is contaminating both land and water. Therefore, it is of the utmost necessity to develop solutions for Mauritius' plastic wastes. Due to its abundance and accessibility, plastic waste is a promising material for recycling and energy production. One potential solution is the use of machine learning and artificial intelligence (AI) to predict household plastic consumption, allowing policymakers to design effective strategies and initiatives to reduce plastic waste. Such information is a critical component to be able to efficiently plan for the collection and routing of trucks when collecting recyclable plastics. The development of new strategies for the recycling of plastic waste and development of new industry can address the import and export potential of the country to achieve self-sustainability as well as contribute to reduction in plastic pollution and amount of waste landfilled. These plastics can thereafter be used effectively for recycling and for the making of 3D printing filaments which fall under the SDGs 9 (Industry, Innovation and Infrastructure) and 12 (Responsible consumption and production).

This paper aims to demonstrate the effectiveness of a fault-tolerant flight control method by using simple adaptive control (SAC) with PID controller.

Numerical simulations and flight tests are executed for pitch angle and roll angle control of research aircraft MuPAL-α under the following fault cases: sudden reduction in aileron effectiveness, sudden reduction in elevator effectiveness and loss of longitudinal static stability.

The simulations and flight tests reveal the effectiveness of the proposed SAC with PID controller as a fault-tolerant flight controller.

This research includes implications for the development of vehicles’ robustness.

This study proposes novel SAC-based flight controller and actually demonstrates the effectiveness by flight test.