Mahmoud Yazdani, Hamidreza Paseh and Mostafa Sharifzadeh
– The purpose of this paper is to find a convenient contact detection algorithm in order to apply in distinct element simulation.
Abstract
Purpose
The purpose of this paper is to find a convenient contact detection algorithm in order to apply in distinct element simulation.
Design/methodology/approach
Taking the most computation effort, the performance of the contact detection algorithm highly affects the running time. The algorithms investigated in this study consist of Incremental Sort-and-Update (ISU) and Double-Ended Spatial Sorting (DESS). These algorithms are based on bounding boxes, which makes the algorithm independent of blocks shapes. ISU and DESS algorithms contain sorting and updating phases. To compare the algorithms, they were implemented in identical examples of rock engineering problems with varying parameters.
Findings
The results show that the ISU algorithm gives lower running time and shows better performance when blocks are unevenly distributed in both axes. The conventional ISU merges the sorting and updating phases in its naïve implementation. In this paper, a new computational technique is proposed based on parallelization in order to effectively improve the ISU algorithm and decrease the running time of numerical analysis in large-scale rock mass projects.
Originality/value
In this approach, the sorting and updating phases are separated by minor changes in the algorithm. This tends to a minimal overhead of running time and a little extra memory usage and then the parallelization of phases can be applied. On the other hand, the time consumed by the updating phase of ISU algorithm is about 30 percent of the total time, which makes the parallelization justifiable. Here, according to the results for the large-scale problems, this improved technique can increase the performance of the ISU algorithm up to 20 percent.
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Nima Gerami Seresht, Rodolfo Lourenzutti, Ahmad Salah and Aminah Robinson Fayek
Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and…
Abstract
Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.
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Sulemana Bankuoru Egala, Dorcas Boateng and Samuel Aboagye Mensah
In this paper, the authors investigated the impact of quality digital banking services delivered during the COVID-19 pandemic on customers' satisfaction and retention intentions.
Abstract
Purpose
In this paper, the authors investigated the impact of quality digital banking services delivered during the COVID-19 pandemic on customers' satisfaction and retention intentions.
Design/methodology/approach
This study combined constructs drawn from the E-S-QUAL and BSQ models to measure the impact of digital banking services on subscribers of digital banking services in Ghana. The study utilized structural equation modeling with partial least squares (PLS-SEM) to analyze 395 responses.
Findings
Results revealed a significant direct effect between digital banking services satisfaction and customer retention decision. The results also revealed that digital banking services quality dimensions such as ease of use, efficiency, privacy/security and reliability impact customers' satisfaction and retention intentions.
Research limitations/implications
Digital banking service portfolios and their quality dimensions vary among banks. This offers an opportunity for banking institutions and other non-bank financial service providers to be wary of the impact of quality service delivery on customers' decisions. This paper makes significant theoretical contributions and practical implications on the relevance of quality digital banking services in customers' retention strategies for competitive advantage.
Originality/value
This study has underlined the significance of quality digital banking services in developing countries. The study underscored the need for banking and non-bank financial institutions to embrace the much-anticipated quality service demanded by customers and the need for continuous service improvement relative to the growing deployment of financial technologies.
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Mohanad Kamil Buniya, Ibrahim Yahaya Wuni, Omar Sedeeq Yousif and M.K.S. Al-Mhdawi
Safety program initiatives in the construction industry remain below the desired level, especially in developing countries, and the reasons for low adoption are not well…
Abstract
Purpose
Safety program initiatives in the construction industry remain below the desired level, especially in developing countries, and the reasons for low adoption are not well established. This study aims to investigate and quantify the impact levels of the key barriers to safety program initiatives in the construction industry in Iraq.
Design/methodology/approach
The study used a multi-method research design to assess the barriers to safety program initiatives in the construction industry in Iraq. Initially, a comprehensive literature review was conducted to identify potential barriers. Following this, semi-structured interviews with construction professionals were conducted to gather in-depth insights. Thematic analysis was then applied to analyze the results of these interviews. Subsequently, a questionnaire survey was developed based on the findings from the literature review and interviews to quantitatively measure the impact of the identified barriers among a broader group of construction professionals. Finally, a fuzzy synthetic evaluation (FSE) was used to assess the overall impact of these barriers comprehensively.
Findings
The results showed that the top three key barriers to the implementation of construction safety programs in Iraq include tight project schedules, inadequate commitment to safety and the lack of safety rules and policies. A FSE indicated that each group of barriers, including unsupportive industry norms, poor safety awareness, an unconducive work climate and poor governance, significantly hinders safety program implementation in the Iraqi construction industry.
Research limitations/implications
The study was conducted in the construction industry of Iraq, specifically focusing on Baghdad, Anbar, Basra and Erbil governorates, as these cities are prominent within the country. In addition, this research exclusively captured the perspectives of construction consultants, contractors and clients.
Practical implications
The findings suggest that improving supportive and safety-aware industry norms, increasing safety awareness, generating a safe work climate and culture and improving safety governance can significantly influence the widespread adoption of safety programs in the construction industry. To the best of the authors’ knowledge, this constitutes the first study to quantify the impact levels of barriers to construction safety program initiatives in developing countries. It provides additional insight to promote a safer construction industry. Moreover, the findings can notably be used by construction practitioners and policymakers to develop and successfully implement safety programs in construction.
Originality/value
This study aims to develop an assessment model for identifying the primary barriers to safety program initiatives within the construction industry of developing countries, exploring deeper into the barriers that impede the adoption of safety programs in construction, and providing valuable insights that could serve as a foundation for crafting strategies to enhance safety program initiatives within the industry.
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Maria Isabel Roque and Maria João Forte
Iranian history, with roots in the oldest civilizations in western Asia, has provided significant heritage, both tangible and intangible, allowing the country to be considered as…
Abstract
Iranian history, with roots in the oldest civilizations in western Asia, has provided significant heritage, both tangible and intangible, allowing the country to be considered as a major cultural tourism destination for both nationals and foreigners. The focus on Iranian history and heritage aims to confirm the country’s potential for attracting international tourists, while a negative image prevails abroad of a radical theocratic regime with a hostile internal political environment, alongside the instable geopolitical situation of the region. However, the changing political situation, now more secure and safe, allows an attempt to remove these prejudices, which may be achieved through the promotion of heritage and cultural tourism.
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A. John William, M. Suresh and Nagamani Subramanian
Small and medium-sized enterprises (SMEs) are a major source of employment and revenue growth in developing nations like India, but they also face challenges from resource…
Abstract
Purpose
Small and medium-sized enterprises (SMEs) are a major source of employment and revenue growth in developing nations like India, but they also face challenges from resource shortages, shifting consumer demand and heightened competition. This research aims to discover the aspects that enhance SMEs' competitiveness and performance.
Design/methodology/approach
By analyzing literature and consulting experts, 10 factors that boost a firm's competitiveness were identified. The total interpretive structural modeling (TISM) method was then used to determine their interaction and structural hierarchy. Neutrosophic-MICMAC analysis was employed to assess the driving-dependence power of each factor.
Findings
The study discovered that the factor, namely “entrepreneurial orientation,” was found to be a significant one. “Manufacturing strategy” was found to be extremely dependent on the remaining competitive advantage factors.
Research limitations/implications
This SME-focused framework can be adopted by large businesses to enhance organizational performance by focusing on critical factors. The study depends on experts' judgment, which might be biased. Findings will assist SMEs in identifying significant factors influencing competitive advantage and relationships, increasing awareness of factors contributing to competitive edge.
Practical implications
The results of the research may encourage SME sector managers and practitioners to prioritize the factors that contribute to a firm's competitive advantage.
Originality/value
The majority of research on SME competitive advantage focuses on individual aspects. To add to the body of knowledge on the subject, this study applies the TISM technique to Indian SMEs to identify the contextual interactions among factors that increase long-term competitiveness.
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Ashish Dwivedi, Jitender Madaan, Ernesto D.R. Santibanez Gonzalez and Md. Abdul Moktadir
The execution of product recovery strategies and the definition of an adequate system to manage its performance are crucial to move toward the employment of a successful circular…
Abstract
Purpose
The execution of product recovery strategies and the definition of an adequate system to manage its performance are crucial to move toward the employment of a successful circular economy (CE) concept. Defining strategies for the efficient management of product recovery requires product data that is difficult to obtain, making it harder to handle. However, efficient product recovery management can play a key role in shifting companies from a linear economy model to a more sustainable CE model, providing economic benefits and increasing customer satisfaction by recovering and adding value to the discarded product. Therefore, this study aims to provide better models to support decision-making and to evaluate product recovery performance.
Design/methodology/approach
The present study highlights a comprehensive two-stage decision approach to identify and examine the relevant key performance indicators (KPIs) for performance improvement of an information facilitated product recovery system (IFPRS) in a CE context. In the first phase, a structural equation modeling (SEM) methodology is adopted to categorize the KPIs by employing exploratory factor analysis and measurement of the model fit is obtained using the confirmatory factor analysis. Further, in the second phase, the KPIs are ranked and prioritized on the basis of expert’s recommendations adopting fuzzy-technique for order of preference by similarity to ideal solution (FTOPSIS).
Findings
Empirical investigation is conducted by compiling data from an association of six decision-makers (DMs) and two DMs from a respective prospect. The results highlight that “Technology Capacity” is ranked as the highest and is the most prominent KPI for successful employment of IFPRS practices. The results of the study would benefit policy makers and company directors in the selection of KPIs based on their importance in a context of high competition and greater pressure to adopt sustainable practices in the management of their companies.
Originality/value
As far as the authors know, no study has been performed till date to identify and construct a structural KPIs model for IFPRS performance improvement in the context of CE. The paper, therefore, proposes a two-phase SEM-TOPSIS technique to measure the impact of KPIs which is a new integration in the existing literature. The results of the study would benefit policy makers and company directors in the selection of KPIs based on their importance in a context of high competition and greater pressure to adopt sustainable practices in managing their organizations.
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Akram Mahmoud Al-jazzazi and Parves Sultan
The purpose of this paper is to review some of the key studies that are published in the last three decades on banking service quality with particular attention to the Middle…
Abstract
Purpose
The purpose of this paper is to review some of the key studies that are published in the last three decades on banking service quality with particular attention to the Middle Eastern countries, and provide some future research directions.
Design/methodology/approach
Literature review.
Findings
The review generated 11 research questions related to Islamic and conventional banking services in the Middle Eastern countries.
Research limitations/implications
This paper reviews leading, current studies on conventional and Islamic banking in the Middle East, and provides future research directions for scholars and practitioners alike. Future research should address each of the research questions as identified in this paper with empirical data/evidence.
Practical implications
This paper reviews leading, current studies on conventional and Islamic banking in the Middle East and provides future directions of research for scholars and practitioners alike. Future research should address each of the research questions the authors identify with empirical data and scientific evidence.
Originality/value
This paper would be useful for guiding the development and resolution of researchers’ and practitioners’ research questions and could help to strengthen the banking industry in Middle Eastern countries.
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Chandresh Kumbhani and Ravi Kant
Strategic integration of enablers and the realization of drone delivery benefits emerge as essential strategies for business organizations to enhance operational efficiency and…
Abstract
Purpose
Strategic integration of enablers and the realization of drone delivery benefits emerge as essential strategies for business organizations to enhance operational efficiency and stay competitive in last-mile logistics. This paper aims to explore the benefits of drone-based last-mile delivery in the Indian logistic sector by providing a framework for ranking drone delivery benefits (DDBs) due to the adoption of its enablers.
Design/methodology/approach
This study proposes a novel hybrid framework applied in the Indian logistic sector by integrating a sentence boundary extraction algorithm for extracting benefits from literature, a spherical fuzzy analytical hierarchy process (SF-AHP) for evaluating primary enablers, unsupervised fuzzy C-means clustering (FCM) for clustering benefits and a spherical combined compromised solution (SF-CoCoSo) for ranking benefits with respect to primary enablers.
Findings
The results reveal that technological and infrastructure enablers (TIE), government and legislation enablers (GLE) and operational and service quality enablers (OSE) are the most significant enablers for drone implementation in logistics. Top-ranked benefits increase the efficiency of last-mile delivery (DDB10), foster supply chain management and logistic sustainability (DDB16) and increase delivery access to rural area and vulnerable people (DDB17).
Practical implications
This research assists scholars, entrepreneurs and policymakers in the sustainable deployment of drone delivery in the logistics sector. This study facilitates the use of drones in delivery services and provides a foundation for all stakeholders in logistics.
Originality/value
The assessments involve considering judgment from a highly knowledgeable and experienced group in India, characterized by a large volume of inputs and a high level of expertise.