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1 – 7 of 7Adnène Sghaier and Taher Hamza
This study investigates the relationship between CEO power and the risk profile (RP) of acquiring banks through mergers and acquisitions (M&A) transactions.
Abstract
Purpose
This study investigates the relationship between CEO power and the risk profile (RP) of acquiring banks through mergers and acquisitions (M&A) transactions.
Design/methodology/approach
The analysis is based on 214 transactions between 2010 and 2022 involving European Union-based acquirers. To assess the impact of M&A on the acquiring bank’s RP, we compare changes in the acquirer’s RP to control banks. We use linear regression with two-stage least squares instrumental variables (2SLS-IV) to examine the effect of CEO power on changes in merger-related risk.
Findings
The findings suggest that CEO power reduces the RP of the acquiring bank. Specifically, CEOs who hold both the CEO and board chair positions tend to take fewer risks. Additionally, CEOs with high ownership, CEO pay and extensive experience (measured by tenure and acquisition experience) decrease the RP. However, prestige power is positively correlated with an increase in RPs.
Practical implications
This research examines CEO influence on bank risk post-mergers, providing insights into governance, risk and strategic choices. The findings can guide banks in CEO selection and governance to mitigate M&A risks, improving risk management and decision-making in the financial sector.
Originality/value
This study is the first empirical investigation introducing diverse executive power metrics to analyze the link between executive power and risk-taking in the European banking sector, with a specific emphasis on the impact on M&A as critical investment choices.
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Mohammad Dulal Miah, Norizan Mohd. Kassim, Mohammad Zain and Mohammad Usman
Commercial banks are the catalysts for meeting the financing needs of small and medium enterprises (SMEs). However, not all commercial banks are equally attractive to SMEs because…
Abstract
Purpose
Commercial banks are the catalysts for meeting the financing needs of small and medium enterprises (SMEs). However, not all commercial banks are equally attractive to SMEs because of differences in banking services’ key attributes. Moreover, customers’ preferences vary between Islamic and conventional banks. This paper aims to identify factors motivating SMEs to establish business ties with banks in Oman.
Design/methodology/approach
The authors collected data from 217 SMEs through a questionnaire survey. The data were analyzed using a t-test and structural equation modeling (SEM). In addition, the research applies the theory of planned behavior as a theoretical framework.
Findings
The t-test results show that SMEs place greater emphasis on electronic banking, convenient locations, religious beliefs and favorable terms and conditions. The results from the SEM analysis show that the SMEs in Oman consider attractive packages, including favorable rates, transaction processing time, fees and the availability of technology-enabled services, when choosing a bank. Moreover, customers who are aware of Islamic banking products are optimistic about the future of Shariah-based banking.
Originality/value
As a Muslim-majority country, Oman lags behind its Gulf Cooperative Council peers in terms of the development of the Islamic banking system. For the success of this mode of financing, it is essential to know which factors SMEs prioritize to establish ties with Islamic banks. Hence, the research is expected to provide new information for bank management to devise financial products attractive to investors.
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Mornay Roberts-Lombard and Daniël Johannes Petzer
The purpose of this study is to investigate possible drivers of loyalty amongst Islamic banking customers in Gauteng, South Africa. We ponder the relationships of service fairness…
Abstract
Purpose
The purpose of this study is to investigate possible drivers of loyalty amongst Islamic banking customers in Gauteng, South Africa. We ponder the relationships of service fairness (a secondorder reflective construct) with perceived value, satisfaction, and loyalty.
Design/methodology/approach
Data were obtained from Islamic banking customers in South Africa using interview-administered questionnaires. A total of 350 responses were perceived as being suitable for data analysis. The measurement and structural models were measured through structural equation modelling.
Findings
Service fairness and perceived value were found to be important drivers of loyalty within this context.
Research limitations/implications
This study demonstrates that service fairness and perceived value are precursors to the future loyalty intentions of Islamic banking customers. As such, they should be nurtured as key elements of the relationship building process.
Practical implications
The study guides South African Islamic banks and South African banks with Islamic windows to better understand how service fairness (interactional, procedural and distributive) fosters satisfaction, perceived value and loyalty (attitudinal and behavioural).
Originality/value
Enhancing comprehension of the relationship between service fairness and customer loyalty, with satisfaction and perceived value playing intermediary roles, represents an unexplored avenue in academic research within the context of Islamic banking in an emerging African market.
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Solomon Oyebisi, Mahaad Issa Shammas, Hilary Owamah and Samuel Oladeji
The purpose of this study is to forecast the mechanical properties of ternary blended concrete (TBC) modified with oyster shell powder (OSP) and shea nutshell ash (SNA) using deep…
Abstract
Purpose
The purpose of this study is to forecast the mechanical properties of ternary blended concrete (TBC) modified with oyster shell powder (OSP) and shea nutshell ash (SNA) using deep neural network (DNN) models.
Design/methodology/approach
DNN models with three hidden layers, each layer containing 5–30 nodes, were used to predict the target variables (compressive strength [CS], flexural strength [FS] and split tensile strength [STS]) for the eight input variables of concrete classes 25 and 30 MPa. The concrete samples were cured for 3–120 days. Levenberg−Marquardt's backpropagation learning technique trained the networks, and the model's precision was confirmed using the experimental data set.
Findings
The DNN model with a 25-node structure yielded a strong relation for training, validating and testing the input and output variables with the lowest mean squared error (MSE) and the highest correlation coefficient (R) values of 0.0099 and 99.91% for CS and 0.010 and 98.42% for FS compared to other architectures. However, the DNN model with a 20-node architecture yielded a strong correlation for STS, with the lowest MSE and the highest R values of 0.013 and 97.26%. Strong relationships were found between the developed models and raw experimental data sets, with R2 values of 99.58%, 97.85% and 97.58% for CS, FS and STS, respectively.
Originality/value
To the best of the authors’ knowledge, this novel research establishes the prospects of replacing SNA and OSP with Portland limestone cement (PLC) to produce TBC. In addition, predicting the CS, FS and STS of TBC modified with OSP and SNA using DNN models is original, optimizing the time, cost and quality of concrete.
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Anshuman Kumar, Chandramani Upadhyay, Ram Subbiah and Dusanapudi Siva Nagaraju
This paper aims to investigate the influence of “BroncoCut-X” (copper core-ZnCu50 coating) electrode on the machining of Ti-3Al-2.5V in view of its extensive use in aerospace and…
Abstract
Purpose
This paper aims to investigate the influence of “BroncoCut-X” (copper core-ZnCu50 coating) electrode on the machining of Ti-3Al-2.5V in view of its extensive use in aerospace and medical applications. The machining parameters are selected as Spark-off Time (SToff), Spark-on Time (STon), Wire-speed (Sw), Wire-Tension (WT) and Servo-Voltage (Sv) to explore the machining outcomes. The response characteristics are measured in terms of material removal rate (MRR), average kerf width (KW) and average-surface roughness (SA).
Design/methodology/approach
Taguchi’s approach is used to design the experiment. The “AC Progress V2 high precision CNC-WEDM” is used to conduct the experiments with ϕ 0.25 mm diameter wire electrode. The machining performance characteristics are examined using main effect plots and analysis of variance. The grey-relation analysis and fuzzy interference system techniques have been developed to combine (called grey-fuzzy reasoning grade) the experimental response while Rao-Algorithm is used to calculate the optimal performance.
Findings
The hybrid optimization result is obtained as SToff = 50µs, STon = 105µs, Sw = 7 m/min, WT = 12N and Sv=20V. Additionally, the result is compared with the firefly algorithm and improved gray-wolf optimizer to check the efficacy of the intended approach. The confirmatory test has been further conducted to verify optimization results and recorded 8.14% overall machinability enhancement. Moreover, the scanning electron microscopy analysis further demonstrated effectiveness in the WEDMed surface with a maximum 4.32 µm recast layer.
Originality/value
The adopted methodology helped to attain the highest machinability level. To the best of the authors’ knowledge, this work is the first investigation within the considered parametric range and adopted optimization technique for Ti-3Al-2.5V using the wire-electro discharge machining.
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Assunta Di Vaio, Anum Zaffar and Meghna Chhabra
The aim of this study is to review the literature on how intellectual capital (IC) contributes to the decarbonization efforts of firms. It explores how carbon accounting can…
Abstract
Purpose
The aim of this study is to review the literature on how intellectual capital (IC) contributes to the decarbonization efforts of firms. It explores how carbon accounting can measure the components of IC in decarbonization efforts to balance profitability with environmental and social goals, particularly in promoting decent work and economic growth (Sustainable Development Goal [SDG] 8 and its targets [2, 5, 6, 8]). Moreover, it emphasises the importance of multi-stakeholder partnerships for sharing knowledge, expertise, technology, and financial resources (SDG17-Target 17.G) to meet SDG8.
Design/methodology/approach
As a consolidated methodological approach, a systematic literature review (SLR) was used in this study to fill the existing research gaps in sustainability accounting. To consolidate and clarify scholarly research on IC towards decarbonization, 149 English articles published in the Scopus database and Google Scholar between 1990 and 2024 were reviewed.
Findings
The results highlight that the current research does not sufficiently cover the intersection of carbon accounting and IC in the analysis of decarbonization practices. Stakeholders and regulatory bodies are increasingly pressuring firms to implement development-focused policies in line with SDG8 and its targets, requiring the integration of IC and its measures in decarbonization processes, supported by SDG17-Target 17.G. This integration is useful for creating business models that balance profitability and social and environmental responsibilities.
Originality/value
The integration of social dimension to design sustainable business models for emission reduction and provide a decent work environment by focusing on SDG17-Target 17.G has rarely been investigated in terms of theory and practice. Through carbon accounting, IC can be a key source of SDG8-Targets 8.[2, 5, 6, 8] and SDG17-Target 17.G. Historically, these major issues are not easily aligned with accounting research or decarbonization processes.
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James Guthrie, Francesca Manes-Rossi, Rebecca Levy Orelli and Vincenzo Sforza
This paper undertakes a structured literature review to analyse the literature on performance management and measurement (PMM) in universities over the last four decades. Over…
Abstract
Purpose
This paper undertakes a structured literature review to analyse the literature on performance management and measurement (PMM) in universities over the last four decades. Over that time, PMM has emerged as an influential force in universities that impacts their operations and redefines their identity.
Design/methodology/approach
A structured literature review approach was used to analyse a sample of articles on PMM research from a broad range of disciplines over four decades. This was undertaken to understand the impacts of PMM practices on universities, highlight changes over time and point to avenues for future research.
Findings
The analysis highlights the fact that research on PMM in universities has grown significantly over the 40 years studied. We provide an overview of published articles over four decades regarding content, themes, theories, methods and impacts. We provide an empirical basis for discussing past, present and future university PMM research. The future research avenues offer multiple provocations for scholars and policymakers, for instance, PMM implementation strategies and relationships with various government programs and external evaluation and the role of different actors, particularly academics, in shaping PMM systems.
Originality/value
Unlike a traditional literature review, the structured literature review method can develop insights into how the field has changed over time and highlight possible future research. The sample for this literature review differs from previous reviews in covering a broad range of disciplines, including accounting.
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