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1 – 5 of 5Mahdi Salari, Milad Ghanbari, Martin Skitmore and Majid Alipour
This paper aims to create a comprehensive framework for selecting alternative materials in construction projects, integrating building information modeling (BIM) and the particle…
Abstract
Purpose
This paper aims to create a comprehensive framework for selecting alternative materials in construction projects, integrating building information modeling (BIM) and the particle swarm optimization (PSO) algorithm. Materials comprise 60%–65% of the total project cost, and current methods require significant time and human resources.
Design/methodology/approach
A prototype framework is developed that considers multiple criteria to optimize the material selection process, addressing the significant investment of time and resources required in current methods. The study uses surveys and interviews with construction professionals to collect primary data on alternative materials selection.
Findings
The results show that integrating BIM and the PSO algorithm improves cost optimization and material selection outcomes.
Originality/value
This comprehensive tool enhances decision-making capabilities and resource utilization, improving project outcomes and resource utilization. It offers a systematic approach to evaluating and selecting materials, making it a valuable resource for construction professionals.
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Mohammed Dauda Goni, Abdulqudus Bola Aroyehun, Shariza Abdul Razak, Wuyeh Drammeh and Muhammad Adamu Abbas
This study aims to assess the household food insecurity in Malaysia during the initial phase of the movement control order (MCO) to provide insights into the prevalence and…
Abstract
Purpose
This study aims to assess the household food insecurity in Malaysia during the initial phase of the movement control order (MCO) to provide insights into the prevalence and predictors of food insecurity in this context.
Design/methodology/approach
The research used an online cross-sectional survey between March 28 and April 28, 2020. The study collected data from the Radimer/Cornell Hunger Scale and a food insecurity instrument. Analytical tools included chi-square and logistic regression models.
Findings
Of the 411 participating households, 54.3% were food-secure, while 45.7% experienced varying food insecurity. Among these, 29.9% reported mild hunger-associated food insecurity, 8.5% experienced individual food insecurity and 7.3% reported child hunger. The study identified predictors for food insecurity, including household income, as those with total income of < RM 2,300 had 13 times greater odds (odds ratio [OR] 13.8; confidence interval [CI] 5.9–32.1; p < 0.001) than those with income of RM 5,600, marital status as divorced (OR 4.4; 95% CI 1.0–19.9; p-value = 0.05) or married (OR 1.04; 95% CI 0.52–2.1) compared to those who are single. Self-employed respondents had three times greater odds of living in a household experiencing food insecurity (OR 3.58; 95% CI 1.6–7.7; p-value = 0.001) than those in the private sector (OR 1.48; 95% CI 0.85–2.61) or experiencing job loss (OR 1.39; 95% CI 0.62–3.1) compared with those who reported being in full-time government employment.
Research limitations/implications
This study acknowledged limitations, such as not considering various dimensions of food insecurity, such as coping strategies, nutritional support, diet quality and well-being, due to the complexity of the issue.
Practical implications
The study underscores the importance of targeted support for vulnerable groups and fostering collaborative efforts to address household food insecurity during crises like the MCOs.
Social implications
The research offers insights into how to address household food insecurity and its impact on society.
Originality/value
It identifies predictors, quantifies increased odds and emphasizes the necessity of targeted policies and collaborative approaches for fostering resilient recovery and promoting well-being in vulnerable populations.
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Norhidayah Pauzi, Asbah Razali, Saadan Man, Syed Mohd Jeffri Syed Jaafar and Mohd Hafiz Jamaludin
This study aims to examine attitude, perceived behavioral and religiosity that influence Muslim consumers’ intention in patronizing at food premises with halal logo.
Abstract
Purpose
This study aims to examine attitude, perceived behavioral and religiosity that influence Muslim consumers’ intention in patronizing at food premises with halal logo.
Design/methodology/approach
The data were collected from 450 respondents on random sampling basis. Quantitative analysis was conducted using SEM SMARTPLS version 3.3.
Findings
Based on the findings gathered using PLS analysis with n = 450, it was indicated that attitude, perceived behavioral control and religiosity significantly influence Muslim consumers’ intention on patronizing at food premise with halal logo.
Research limitations/implications
The data collection for the present study was limited to the respondents in Kuala Lumpur among Muslim consumers, and limited to 450 sample sizes.
Practical implications
The presence of halal logo should be crucial in attracting consumers due to the comprehensive meaning it brings.
Social implications
In the context of food premises, the results of the research suggest that the halal logo shown by the food premise seems to operate significantly in attracting Muslim consumers toward the food premises. Muslim consumers need to be nourished by proper Islamic teachings and have a good understanding of halal principle.
Originality/value
The halal logo of food premise concerns the Muslims. Muslim consumers are relying on surrogates in selecting the alternatives for packaged goods in Islamic marketing literature. However, it is little known how Muslims use indicators to select food premises when there is no halal logo.
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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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Biswajit Behera, Rajeev Kumar Panda, Binita Tiwari and Akriti Chaubey
The study aims to develop a hierarchical model for innovative work behaviour (IWB) that can capture the complex associations among the factors contributing to IWB within the…
Abstract
Purpose
The study aims to develop a hierarchical model for innovative work behaviour (IWB) that can capture the complex associations among the factors contributing to IWB within the information technology (IT) sector. To accomplish this, the authors rely on an abductive approach using a graph theoretic model, often called interpretive structural modelling (ISM).
Design/methodology/approach
After conducting an in-depth literature review and using the Delphi method, the authors identified 12 factors (11 enablers and IWB as an outcome). The authors collected data through the Delphi approach by sending the questionnaire to 11 experts from academia and the IT sector who have extensive experience and knowledge relevant to the study. The authors then used the ISM method to analyse the relationships among these factors and understand their driving forces.
Findings
Based on the ISM model and the Matrice d'Impacts Croisés Multiplication Appliquée à un Classement analysis, the authors have identified that inclusive leadership, proactive personality and knowledge creation ability are the variables with strong driving power but weak dependence. Conversely, IWB has strong dependence but weak driving power. These findings suggest that to foster IWB, the organisation should prioritise inclusive leadership, proactive personality and knowledge-creation ability to succeed in challenging times. The study’s findings contribute to the social exchange theory, which explains IWB in a dynamic setting. Additionally, the study helps address the significant concerns that most IT companies face during times of crisis.
Practical implications
The study provides valuable guidance for managers and policymakers who are grappling with the challenges of improving IWB in the IT sector. This study is particularly relevant as the industry is currently navigating an economic recession and facing intense competition from other tech companies launching new products and services.
Originality/value
This research holds great significance for top executives, line managers and policymakers in the IT industry. It sheds light on the relevance and importance of various factors facilitating millennials' IWB.
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