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Book part
Publication date: 7 November 2024

Issa Hamadou and Umer Suleman

After the financial crisis of 2007–2008, the financial service industry realized that the world’s worst financial catastrophe had been caused by an age of easy money and lax…

Abstract

After the financial crisis of 2007–2008, the financial service industry realized that the world’s worst financial catastrophe had been caused by an age of easy money and lax monitoring. This realization led to pressure on regulators to overhaul the financial system during the Great Depression. Banks were required to make sure they implemented a variety of endogenous risk-minimization mechanisms and assume accountability for verifying the stability of the financial scheme. Innovative financial technology (FinTech) solutions arose in this more regulated environment to address – or, as one would argue, avoid – risks that arose during the financial crisis. The goal of this chapter is to examine the possible challenges and opportunities of incorporating FinTech into Islamic finance. Four services are provided by Islamic FinTech: finance, payments, advisory, and compliance. The traditional financial system is being recolonized by Islamic FinTech. FinTech adoption in Islamic finance could lead to greater financial inclusion, the solution to emergencies like COVID-19, and the achievement of Sustainable Development Goals (SDGs) for a sustainable national economy. However, there could be obstacles associated with this acceptance in the form of risk, investment, and regulatory issues. In order for FinTech companies to be innovative and address social issues that conventional financial institutions fail to address, authorities must provide a market whereby these companies can thrive without having to be acquired by major banks or focus their innovation solely on meeting the demands of these banks. Furthermore, they need to be explicit about the regulations' applicability to FinTech companies, especially with regard to how to strike a balance between being a technology company and a financial institution.

Article
Publication date: 12 August 2024

Maha Shehadeh, H.M. Dawood and Khaled Hussainey

This study aims to examine the relationships between various components of digital financial literacy, namely, awareness, subjective knowledge, experience, the digital legal…

Abstract

Purpose

This study aims to examine the relationships between various components of digital financial literacy, namely, awareness, subjective knowledge, experience, the digital legal framework and skills, and their influence on the adoption of cashless payment systems among university affiliates in Jordan. It also explores the mediating role of gender in this relationship. The study integrates the Theory of Planned Behavior (TPB) and social role theory (SRT).

Design/methodology/approach

This study uses a cross-sectional survey across 34 Jordanian universities. Data from 418 participants were analyzed, focusing on factor analysis to assess the constructs' reliability and validity and to explore the moderating effects.

Findings

The findings illuminate that digital financial awareness, experience and skills are significant catalysts for using cashless payments among the targeted demographic. In contrast, the digital legal framework and subjective financial knowledge did not significantly influence cashless payment use. Additionally, gender differences emerged, highlighting a stronger association between digital financial experience and cashless payment usage for women.

Originality/value

The study's uniqueness stems from its detailed analysis of digital financial literacy's effect on cashless payment adoption in Jordan's academia, incorporating aspects like legal frameworks, awareness, and skills. It innovatively considers gender's moderating role, adding fresh insights into digital finance practices. Using the TPB and SRT, the research connects theory with Jordan's empirical data, suggesting strategies for education and policy. This work advances understanding of digital financial literacy in fostering a more inclusive digital financial system, contributing significantly to digital finance and behavioral economics literature.

Details

International Journal of Accounting & Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1834-7649

Keywords

Book part
Publication date: 8 November 2021

Masudul Hasan Adil, Neeraj R. Hatekar and Taniya Ghosh

One of the most significant changes in monetary economics at the beginning of the twenty-first century has been the virtual disappearance of what was once a dominant focus, the…

Abstract

One of the most significant changes in monetary economics at the beginning of the twenty-first century has been the virtual disappearance of what was once a dominant focus, the role of money in monetary policy, and parallelly, the disappearance of the liquidity preference-money supply (LM) curve. Economists used to consider monetary policy with the help of the LM curve as part of the analytical framework which captures the demand for money. However, the workhorse model of modern monetary theory and policy, the New Keynesian Dynamic Stochastic General Equilibrium (DSGE) framework, only comprises the dynamic investment-savings (IS) curve, the New Keynesian (NK) Phillips curve, and a monetary policy rule. The monetary policy rule is generally known as the Taylor rule. It relates the nominal interest rate to the output-gaps and inflation-gaps, but typically not to either the quantity or the growth rate of money. This change in the modern monetary model reflects how the central banks make monetary policy now. This study provides a detailed discussion on the role of money in monetary policy formulation in the context of the NK and the New Monetarist perspectives. The pros and cons of abandonment of money or the LM curve from monetary policy models have been discussed in detail.

Details

Environmental, Social, and Governance Perspectives on Economic Development in Asia
Type: Book
ISBN: 978-1-80117-594-4

Keywords

Article
Publication date: 20 April 2022

Ahmad Mohammad Ahmad, Sergio Rodriguez Trejo, Mian Atif Hafeez, Nashwan Dawood, Mohamad Kassem and Khalid Kamal Naji

Energy analysis (EA) within a building information modelling (BIM) enables consistent data integration in central repositories and eases information exchange, reducing rework…

Abstract

Purpose

Energy analysis (EA) within a building information modelling (BIM) enables consistent data integration in central repositories and eases information exchange, reducing rework. However, data loss during information exchange from different BIM uses or disciplines is frequent. Therefore, a holistic approach for different BIM uses enables a coherent life cycle information flow. The life cycle information flow drives the reduction of data loss and model rework and enhances the seamless reuse of information. The latter requires a specification of the EA key performance indicators (KPIs) and integrating those in the process.

Design/methodology/approach

The paper presents a set of KPIs extracted from the developed EA process maps and interviews with expert stakeholders. These KPIs stem from the literature review and link to the benefits of EA through industry expert review. The study includes (1) development and validation of EA process maps adjusted to requirements from different stakeholders. (2) KPIs aligned with the EA process map, (3) identification of the drivers that can facilitate life cycle information exchange and (4) opportunities and obstacles for EA within BIM-enabled projects.

Findings

This paper depicts a viable alternative for EA process maps and KPIs in a BIM-enabled AEC design industry. The findings of this paper showcase the need for an EA within BIM with these KPIs integrated for a more effective process conforming to the current Open BIM Alliance guidance and contributing towards sustainable life cycle information flow.

Research limitations/implications

The limitation of the research is the challenge of generalising the developed EA process maps; however, it can be adjusted to fit defined organisational use. The findings deduced from the developed EA process map only show KPIs to have the ability to facilitate adequate information flow during EA.

Practical implications

The AEC industry will benefit from the findings of this primary research as the industry will be able to contrast its process maps and KPIs to those developed in the paper.

Social implications

This paper benefits the societal values in EA for the built environment in the design stages. The subsequent life cycle information flow will help achieve a consistent information set and decarbonised built environment.

Originality/value

The paper offers a practical overview of process maps and KPIs to embed EA into BIM, reducing the information loss and rework needed in the practice of this integration. The applicability of the solution is contrasted by consultation with experts and literature.

Details

Smart and Sustainable Built Environment, vol. 12 no. 3
Type: Research Article
ISSN: 2046-6099

Keywords

Article
Publication date: 16 December 2024

Ram Singh, Aina Rafat and Smriti Srivastava

This study aims to determine the factors that influence payment Fintech application adoption intention among low-income groups in India.

Abstract

Purpose

This study aims to determine the factors that influence payment Fintech application adoption intention among low-income groups in India.

Design/methodology/approach

This study used an expanded technology acceptance model (TAM; covering perceived usefulness, perceived ease of use, social influence, perceived risk and financial literacy), which was tested using 310 low-income respondents in Northern India. The PLS-SEM approach was used to analyse the data.

Findings

The results indicate that perceived usefulness, perceived ease of use, social influence and financial literacy all has a direct positive relationship with the intention to use Fintech. Furthermore, financial literacy was found to be the moderator in moderating the relationship between social influence and intention to use the Fintech app.

Research limitations/implications

This study ameliorates existing research and deepens the authors’ understanding of users’ intentions to use Fintech among low-income groups. The findings of the study help both policymakers and academicians in designing effective strategies for promoting Fintech usage.

Originality/value

This study examines the factors that determine Fintech application adoption, particularly among low-income individuals. The TAM framework was expanded to include perceived risk and financial literacy as two of the factors influencing Fintech adoption. Furthermore, the moderating role of financial literacy on intention to use Fintech app was considered in this study in the context of a developing country such as India.

Details

Journal of Science and Technology Policy Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2053-4620

Keywords

Article
Publication date: 7 June 2024

Hamad Alkasasbeh, Mohammad Salem Oudat, Ibrahim Abu-AlSondos and Loai Alhawamdeh

This study aims to contribute to the scholarly discourse on the future of money, particularly within the context of Islamic principles. The focus is on examining the intricate…

Abstract

Purpose

This study aims to contribute to the scholarly discourse on the future of money, particularly within the context of Islamic principles. The focus is on examining the intricate intersections of financial development, technological advancements and the emerging metaverse. The research intends to explore the holistic framework encompassing regulatory dynamics, technological infrastructure, consumer trust, Sharia compliance and the metaverse.

Design/methodology/approach

The research design incorporates a comprehensive approach, using various elements such as regulatory dynamics, technological infrastructure, consumer trust, Sharia compliance and the metaverse. Data collection involves a questionnaire administered to 318 respondents in the UAE. The methodology uses structural equation modeling – partial least squares (SEM-PLS) to assess the research model and test hypotheses.

Findings

The results from the Smart PLS path analysis indicate noteworthy findings. There are significant impacts of fintech adoption, regulatory environments, technological infrastructure and customer trust on the competitiveness of Fintech solutions. Importantly, Sharia compliance emerges as a crucial contextual filter, influencing the interplay between Sharia compliance, fintech adoption and fintech competitiveness. The study provides theoretical insights by emphasizing the pivotal role of Sharia compliance in the dynamics of fintech adoption.

Originality/value

This study contributes original insights to the existing body of knowledge. By exploring the multifaceted connections between financial development, technological advancements and the metaverse within the Islamic context, the research offers a unique and comprehensive perspective. The emphasis on the holistic framework that considers regulatory dynamics, technological infrastructure, consumer trust and Sharia compliance adds originality to the understanding of factors influencing the competition and sustainability of Islamic fintech solutions in the UAE.

Details

Journal of Islamic Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1759-0833

Keywords

Book part
Publication date: 21 May 2024

Muhammad Shujaat Mubarik and Sharfuddin Ahmed Khan

Digital technologies (DTs) have emerged as a major driving force, transmuting the ways Supply Chains (SCs) are managed. The integration of DTs in supply chain management (SCM)…

Abstract

Digital technologies (DTs) have emerged as a major driving force, transmuting the ways Supply Chains (SCs) are managed. The integration of DTs in supply chain management (SCM), Digital Supply Chain Management (DSCM), has fundamentally reshaped the SCM landscape, offering new opportunities and challenges for organizations. This chapter provides a comprehensive overview of modern DTs and the way they impact modern SCM. This chapter has twofold objectives. First, it illustrates the major changes that DTs have brought to the supply chain landscape, unraveling their multifaceted implications. Second, it offers readers a deeper and comprehensive understanding of the challenges and opportunities arising from the incorporation of DTs into supply chains. By going through the chapter, readers will be able to have a comprehensive grasp of how DTs are reshaping SCM and how organizations can survive and thrive in the digital age. This chapter commences by shedding light on how DTs have and continue to redefine SCM, improving supply chain resilience, visibility, and sustainability in an increasingly complex and interconnected world. It also highlights the role of DTs in enhancing SC visibility, agility, and customer-centricity. Furthermore, this chapter briefly highlights the challenges related to the adoption (pre and post) of DTs in SCM, elucidating on issues related to talent acquisition, data security, and regulatory compliance. It also highlights the ethical and societal implications of this digital transformation, emphasizing the significance of responsible and sustainable practices. This chapter, with the help of three cases, illustrates how the adoption of DTs in SC can impact the various SC performance indicators.

Details

The Theory, Methods and Application of Managing Digital Supply Chains
Type: Book
ISBN: 978-1-80455-968-0

Keywords

Open Access
Article
Publication date: 3 January 2024

Eloy Gil-Cordero, Pablo Ledesma-Chaves, Rocío Arteaga Sánchez and Ari Melo Mariano

The aim of this study is to examine the behavioral intention (BI) to adopt the Coinbase Wallet by Spanish users.

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Abstract

Purpose

The aim of this study is to examine the behavioral intention (BI) to adopt the Coinbase Wallet by Spanish users.

Design/methodology/approach

A survey was administered to individuals residing in Spain between March and April 2021. There were 301 questionnaires analyzed. This research applies a new predictive model based on technology acceptance model (TAM) 2, the unified theory of acceptance and use of technology (UTAUT) model, the theory of perceived risk and the commitment trust theory. A mixed partial least squares structural equation modeling (PLS-SEM)/fuzzy-set qualitative comparative analysis (fsQCA) methodology was employed for the modeling and data analysis.

Findings

The results showed that all the variables proposed have a direct and positive influence on the intention to use a Coinbase Wallet. The findings present clear directions for traders, investors and academics focused on improving their understanding of the characteristics of these markets.

Originality/value

First, this study addresses important concerns relating to the adoption of crypto-wallets during the global pandemic. Second, this research contributes to the existing literature by adding electronic word of mouth (e-WOM), trust, web quality and perceived risk as new drivers of the intention to use the Coinbase Wallet, providing unique and innovative insights. Finally, the study offers a solid methodological contribution by integrating linear (PLS) and nonlinear (fsQCA) techniques, showing that both methodologies provide a better understanding of the problem and a more detailed awareness of the patterns of antecedent factors.

Details

International Journal of Bank Marketing, vol. 42 no. 3
Type: Research Article
ISSN: 0265-2323

Keywords

Article
Publication date: 5 March 2024

Maria Ghannoum, Joseph Assaad, Michel Daaboul and Abdulkader El-Mir

The use of waste polyethylene terephthalate (PET) plastics derived from shredded bottles in concrete is not formalized yet, especially in reinforced members such as beams and…

Abstract

Purpose

The use of waste polyethylene terephthalate (PET) plastics derived from shredded bottles in concrete is not formalized yet, especially in reinforced members such as beams and columns. The disposal of plastic wastes in concrete is a viable alternative to manage those wastes while minimizing the environmental impacts associated to recycling, carbon dioxide emissions and energy consumption.

Design/methodology/approach

This paper evaluates the suitability of 2D deterministic and stochastic finite element (FE) modeling to predict the shear strength behavior of reinforced concrete (RC) beams without stirrups. Different concrete mixtures prepared with 1.5%–4.5% PET additions, by volume, are investigated.

Findings

Test results showed that the deterministic and stochastic FE approaches are accurate to assess the maximum load of RC beams at failure and corresponding midspan deflection. However, the crack patterns observed experimentally during the different stages of loading can only be reproduced using the stochastic FE approach. This later method accounts for the concrete heterogeneity due to PET additions, allowing a statistical simulation of the effect of mechanical properties (i.e. compressive strength, tensile strength and Young’s modulus) on the output FE parameters.

Originality/value

Data presented in this paper can be of interest to civil and structural engineers, aiming to predict the failure mechanisms of RC beams containing plastic wastes, while minimizing the experimental time and resources needed to estimate the variability effect of concrete properties on the performance of such structures.

Details

International Journal of Building Pathology and Adaptation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-4708

Keywords

Open Access
Article
Publication date: 16 December 2021

Heba M. Ezzat

Since the beginning of 2020, economies faced many changes as a result of coronavirus disease 2019 (COVID-19) pandemic. The effect of COVID-19 on the Egyptian Exchange (EGX) is…

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Abstract

Purpose

Since the beginning of 2020, economies faced many changes as a result of coronavirus disease 2019 (COVID-19) pandemic. The effect of COVID-19 on the Egyptian Exchange (EGX) is investigated in this research.

Design/methodology/approach

To explore the impact of COVID-19, three periods were considered: (1) 17 months before the spread of COVID-19 and the start of the lockdown, (2) 17 months after the spread of COVID-19 and the during the lockdown and (3) 34 months comprehending the whole period (before and during COVID-19). Due to the large number of variables that could be considered, dimensionality reduction method, such as the principal component analysis (PCA) is followed. This method helps in determining the most individual stocks contributing to the main EGX index (EGX 30). The PCA, also, addresses the multicollinearity between the variables under investigation. Additionally, a principal component regression (PCR) model is developed to predict the future behavior of the EGX 30.

Findings

The results demonstrate that the first three principal components (PCs) could be considered to explain 89%, 85%, and 88% of data variability at (1) before COVID-19, (2) during COVID-19 and (3) the whole period, respectively. Furthermore, sectors of food and beverage, basic resources and real estate have not been affected by the COVID-19. The resulted Principal Component Regression (PCR) model performs very well. This could be concluded by comparing the observed values of EGX 30 with the predicted ones (R-squared estimated as 0.99).

Originality/value

To the best of our knowledge, no research has been conducted to investigate the effect of the COVID-19 on the EGX following an unsupervised machine learning method.

Details

Journal of Humanities and Applied Social Sciences, vol. 5 no. 5
Type: Research Article
ISSN: 2632-279X

Keywords

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