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Available. Open Access. Open Access
Article
Publication date: 13 July 2022

Jiqian Dong, Sikai Chen, Mohammad Miralinaghi, Tiantian Chen and Samuel Labi

Perception has been identified as the main cause underlying most autonomous vehicle related accidents. As the key technology in perception, deep learning (DL) based computer…

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Abstract

Purpose

Perception has been identified as the main cause underlying most autonomous vehicle related accidents. As the key technology in perception, deep learning (DL) based computer vision models are generally considered to be black boxes due to poor interpretability. These have exacerbated user distrust and further forestalled their widespread deployment in practical usage. This paper aims to develop explainable DL models for autonomous driving by jointly predicting potential driving actions with corresponding explanations. The explainable DL models can not only boost user trust in autonomy but also serve as a diagnostic approach to identify any model deficiencies or limitations during the system development phase.

Design/methodology/approach

This paper proposes an explainable end-to-end autonomous driving system based on “Transformer,” a state-of-the-art self-attention (SA) based model. The model maps visual features from images collected by onboard cameras to guide potential driving actions with corresponding explanations, and aims to achieve soft attention over the image’s global features.

Findings

The results demonstrate the efficacy of the proposed model as it exhibits superior performance (in terms of correct prediction of actions and explanations) compared to the benchmark model by a significant margin with much lower computational cost on a public data set (BDD-OIA). From the ablation studies, the proposed SA module also outperforms other attention mechanisms in feature fusion and can generate meaningful representations for downstream prediction.

Originality/value

In the contexts of situational awareness and driver assistance, the proposed model can perform as a driving alarm system for both human-driven vehicles and autonomous vehicles because it is capable of quickly understanding/characterizing the environment and identifying any infeasible driving actions. In addition, the extra explanation head of the proposed model provides an extra channel for sanity checks to guarantee that the model learns the ideal causal relationships. This provision is critical in the development of autonomous systems.

Details

Journal of Intelligent and Connected Vehicles, vol. 5 no. 3
Type: Research Article
ISSN: 2399-9802

Keywords

Available. Content available
Book part
Publication date: 28 May 2024

Free Access. Free Access

Abstract

Details

Contemporary Issues in International Trade
Type: Book
ISBN: 978-1-83797-321-7

Available. Content available
Book part
Publication date: 30 September 2020

Abstract

Details

Big Data Analytics and Intelligence: A Perspective for Health Care
Type: Book
ISBN: 978-1-83909-099-8

Available. Open Access. Open Access
Article
Publication date: 11 February 2022

Oluseyi Julius Adebowale and Justus Ngala Agumba

Labour productivity in construction has fallen behind other industries in most of the world and has declined continuously for decades. Although several scholarly research projects…

3938

Abstract

Purpose

Labour productivity in construction has fallen behind other industries in most of the world and has declined continuously for decades. Although several scholarly research projects have been conducted to salvage the prevalent low labour productivity in construction, contractors in the construction industry have continued to grapple with the devastating impact of low productivity. The purpose of this study is to determine key areas of focus necessary to promote productivity growth in construction.

Design/methodology/approach

Bibliometric and scientometric assessments were conducted to map the existing construction labour productivity (CLP) studies and establish key focus areas in the research domain. The keywords “Construction Productivity” OR “Construction Labour Productivity” OR “Construction Labor Productivity” OR “Construction Worker Productivity”.

Findings

Emerging trends in the CLP research field are reported. The study also determined the most productive authors and collaboration among authors, most productive journals, most active regions and publications with the highest impact in CLP research.

Research limitations/implications

Documents published in the Scopus database were considered for analysis because of the wider coverage of the database. Journal and conference articles written in English language represent the inclusion criteria, while articles in press, review, book chapters, editorial, erratum, note, short survey and data paper were excluded from analysis. The study is also limited to documents published from 2012 to 2021.

Practical implications

The study brought to the awareness of the industry practitioners and other construction stakeholders, the key knowledge areas that are critical to promoting productivity growth in construction.

Originality/value

Except bibliometric analysis, previous research studies have used different approaches to investigate productivity in construction. The study presented future research directions through the emerging knowledge areas identified in the study.

Details

International Journal of Productivity and Performance Management, vol. 72 no. 7
Type: Research Article
ISSN: 1741-0401

Keywords

Available. Content available
Book part
Publication date: 5 March 2025

Free Access. Free Access

Abstract

Details

The Multilateralism of the New Development Bank on the Sustainable Economic Growth in BRICS Nations and Beyond
Type: Book
ISBN: 978-1-83662-293-2

Available. Content available
Article
Publication date: 3 May 2021

Gary Winship

234

Abstract

Details

Therapeutic Communities: The International Journal of Therapeutic Communities, vol. 42 no. 1
Type: Research Article
ISSN: 0964-1866

Available. Content available
Book part
Publication date: 7 June 2024

Free Access. Free Access

Abstract

Details

Including Voices
Type: Book
ISBN: 978-1-83797-720-8

Available. Open Access. Open Access
Article
Publication date: 4 January 2021

Sherin Kunhibava, Zakariya Mustapha, Aishath Muneeza, Auwal Adam Sa'ad and Mohammad Ershadul Karim

This paper aims to explore issues arising from ṣukūk (Islamic bonds) on blockchain, including Sharīʾah (Islamic law) and legal matters.

6536

Abstract

Purpose

This paper aims to explore issues arising from ṣukūk (Islamic bonds) on blockchain, including Sharīʾah (Islamic law) and legal matters.

Design/methodology/approach

A qualitative methodology is used in conducting this research where relevant literature on ṣukūk was reviewed. Through a doctrinal approach, the paper presents analyses on the practice of ṣukūk and ṣukūk on blockchain by discussing its legal, Sharīʾah and regulatory issues. This culminates in a conceptual analysis of blockchain ṣukūk and its peculiar challenges.

Findings

This paper reveals that digitizing ṣukūk issuance through blockchain remedies certain inefficiencies associated with ṣukūk transactions. Indeed, structuring ṣukūk on a blockchain platform can increase transparency of underlying ṣukūk assets and cash flows in addition to reducing costs and the number of intermediaries in ṣukūk transactions. The paper likewise brings to light legal, regulatory, Sharīʾah and cyber risks associated with ṣukūk on blockchain that confront investors, practitioners and regulators. This calls for deeper collaboration in research among Sharīʾah scholars, lawyers, regulators and information technology experts.

Research limitations/implications

As a pioneering subject, the paper notes the prospects of blockchain ṣukūk and the current dearth of literature on it. The paper would assist relevant Islamic capital market entities and authorities to determine the potential and impact of blockchain ṣukūk in their respective businesses and the financial system.

Practical implications

Blockchain ṣukūk will assist in addressing issues inherent in classical ṣukūk and in paving the way to innovative solutions that will facilitate and enhance the quality of ṣukūk transactions. For that, ṣukūk would require appropriate regulatory technology to address its governance and regulation peculiarities.

Originality/value

Integrating ṣukūk with blockchain technology will add value to it. The paper advances the idea that blockchain ṣukūk revolutionises ṣukūk and enhances its practice against known inadequacies.

Details

ISRA International Journal of Islamic Finance, vol. 13 no. 1
Type: Research Article
ISSN: 0128-1976

Keywords

Available. Open Access. Open Access
Article
Publication date: 25 November 2024

Francisco Muñoz-Leiva, Doaa Herzallah, Ismael Ramón Sánchez-Borrego and Francisco Liébana-Cabanillas

This study examines the role of logotypes in advertising effectiveness on s-commerce platforms by analyzing the visual attention paid by the consumer to fashion branding �…

258

Abstract

Purpose

This study examines the role of logotypes in advertising effectiveness on s-commerce platforms by analyzing the visual attention paid by the consumer to fashion branding – wordmarks or combination marks – and their subsequent recall.

Design/methodology/approach

The study examines the main areas of visual representation of the brand (VRB) on the Instagram network and the user’s corresponding areas of interest on a mobile-device screen. Attention and recall of the VRB are assessed in light of different classification variables (users’ gender, age and level of experience in s-commerce tools) to better understand how VRB may be leveraged by fashion retailers to encourage purchasing behavior. To achieve this objective, a mixed experiment design based on the eye-tracking methodology and a self-administered questionnaire is carried out.

Findings

The results indicate that visual attention, gender, age and s-commerce experience all contribute to determining users’ recall of the brand logo to which they are exposed on-screen. By considering the different s-commerce user profiles that exhibit different visualization behaviors, fashion retailers will be better placed to improve their online advertising campaigns and, ultimately, increase brand sales. The findings also point to promising future research directions on the effectiveness of branding strategies.

Originality/value

This highly innovative study provides in-depth insights into advertising effectiveness in terms of attention and recall, according to the main types of VRB for two specific s-commerce tools used by a high-street fashion brand, namely, its profile on Instagram Shop and its profile on Instagram Stories.

Details

European Journal of Management and Business Economics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2444-8451

Keywords

Available. Open Access. Open Access
Article
Publication date: 13 October 2022

Tinyiko Vivian Dube and Lorette Jacobs

This paper aimed to determine the extent to which academic libraries and information services were extended due to the emergence of COVID-19 in the Gauteng Province, South Africa.

6275

Abstract

Purpose

This paper aimed to determine the extent to which academic libraries and information services were extended due to the emergence of COVID-19 in the Gauteng Province, South Africa.

Design/methodology/approach

Founded on a pragmatism paradigm, the sequential explanatory research design was adopted to engage with participants and respondents on their experience of library services extensions to support users during the COVID-19 pandemic. Data were collected using online questionnaires and interviews. Cluster and purposive sampling were used and data for the quantitative part were analyzed using the Statistical Package for the Social Sciences (SPSS), whilst qualitative data were analyzed manually.

Findings

Findings revealed that academic libraries operating in a higher education environment provided extensive support to remote users during the COVID-19 pandemic. This was done through the utilization of a variety of technology utilization, ranging from traditional e-mail support to the use of technology related to Artificial Intelligence such as the BOTsa, which is a Chatbot aimed to assist users in receiving speedy responses to library-related inquiries.

Originality/value

This study is unique in that it focuses on academic libraries that operate in higher education environments where support for achieving academic endeavors becomes imperative to ensure the smooth execution of teaching and learning activities within the restrictions put in place due to the COVID-19 pandemic. Adaptions and improvements to academic library services during and post-COVID-19 era were successful in ensuring that remote users could obtain similar services and access to information as was the case before the outbreak of the COVID-19 pandemic.

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