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1 – 10 of over 11000
Article
Publication date: 27 February 2024

Shefali Arora, Ruchi Mittal, Avinash K. Shrivastava and Shivani Bali

Deep learning (DL) is on the rise because it can make predictions and judgments based on data that is unseen. Blockchain technologies are being combined with DL frameworks in…

Abstract

Purpose

Deep learning (DL) is on the rise because it can make predictions and judgments based on data that is unseen. Blockchain technologies are being combined with DL frameworks in various industries to provide a safe and effective infrastructure. The review comprises literature that lists the most recent techniques used in the aforementioned application sectors. We examine the current research trends across several fields and evaluate the literature in terms of its advantages and disadvantages.

Design/methodology/approach

The integration of blockchain and DL has been explored in several application domains for the past five years (2018–2023). Our research is guided by five research questions, and based on these questions, we concentrate on key application domains such as the usage of Internet of Things (IoT) in several applications, healthcare and cryptocurrency price prediction. We have analyzed the main challenges and possibilities concerning blockchain technologies. We have discussed the methodologies used in the pertinent publications in these areas and contrasted the research trends during the previous five years. Additionally, we provide a comparison of the widely used blockchain frameworks that are used to create blockchain-based DL frameworks.

Findings

By responding to five research objectives, the study highlights and assesses the effectiveness of already published works using blockchain and DL. Our findings indicate that IoT applications, such as their use in smart cities and cars, healthcare and cryptocurrency, are the key areas of research. The primary focus of current research is the enhancement of existing systems, with data analysis, storage and sharing via decentralized systems being the main motivation for this integration. Amongst the various frameworks employed, Ethereum and Hyperledger are popular among researchers in the domain of IoT and healthcare, whereas Bitcoin is popular for research on cryptocurrency.

Originality/value

There is a lack of literature that summarizes the state-of-the-art methods incorporating blockchain and DL in popular domains such as healthcare, IoT and cryptocurrency price prediction. We analyze the existing research done in the past five years (2018–2023) to review the issues and emerging trends.

Details

International Journal of Quality & Reliability Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 23 August 2022

Mohammad Nafe Assafi, Md. Mehrab Hossain, Nicholas Chileshe and Shuvo Dip Datta

As a developing nation, Bangladesh still has scarce technological applications in the construction sector, which results in construction delays. This paper aims to propose a…

Abstract

Purpose

As a developing nation, Bangladesh still has scarce technological applications in the construction sector, which results in construction delays. This paper aims to propose a framework that will diminish manual labor, reduce human error and apply four-dimensional (4D) building information modeling (BIM)-based solutions to mitigate and prevent construction project delays.

Design/methodology/approach

First, a systematic literature review was conducted on analyzing the construction delay scenario in the context of Bangladesh and other countries. Next, a 4D BIM-based framework was developed using Autodesk Navisworks Manage. Finally, it was used to run on-site simulations on an ongoing construction project which faced delays because of design errors and inefficient planning.

Findings

Affirmative results were found from applying these methods through real-time project simulation. The current status of the project and the status after using BIM technology were compared. It was observed that during both the preconstruction and execution phases, the application of 4D BIM could reduce the delay posed by design error and inefficient planning.

Practical implications

The project manager and the design engineers can use these frameworks to review their projects. For the design engineers, the preconstruction phase portion of the framework will help identify the probable errors in the design. For the project managers, keeping track of time using the execution phase portion of the framework will be resourceful.

Originality/value

To the best of the authors’ knowledge, this study is the first to assess the significant delay factors endemic in Bangladesh and develop a BIM-based technological solution. This study is solely dedicated to reforming the construction techniques in Bangladesh through the application of 4D BIM technology.

Details

Construction Innovation , vol. 23 no. 5
Type: Research Article
ISSN: 1471-4175

Keywords

Article
Publication date: 20 November 2023

Gabriel Bertholdo Vargas, Jefferson de Oliveira Gomes and Rolando Vargas Vallejos

The purpose of this paper is to present a practical data-based framework for the prioritization of investment in manufacturing technologies, methods and tools, and to demonstrate…

Abstract

Purpose

The purpose of this paper is to present a practical data-based framework for the prioritization of investment in manufacturing technologies, methods and tools, and to demonstrate its applicability and practical relevance through two case studies of manufacturing firms of different industrial segments.

Design/methodology/approach

The proposed framework is based on network theory applied on technology adoption. For this, the database of Industry 4.0 maturity assessments of SENAI was used to develop data visualization tools named “Technology Networks”. Thus, this study is descriptive research with correlational design. Besides, the framework was applied in two companies and semi-structured interviews were carried out with domain experts.

Findings

The technology networks highlight the technological adoption patterns of six industrial segments, by considering the answers of 863 Brazilian companies. In general, less sophisticated technologies were positioned in the center of the networks, which facilitates the visualization of adoption paths. Moreover, the networks presented a well-balanced adoption scenario of Industry 4.0 related technologies and lean manufacturing methods and tools.

Research limitations/implications

Since the database was not built under an experimental design, it is not expected to make statistical inferences about the variables. Furthermore, the decision to use an available database prevented the editing or inclusion of technologies. Besides, it is estimated that the technology networks given have few years for obsolescence due to the fast pace of technological development.

Practical implications

The framework is a tool that may be used by practicing manufacturing managers and entrepreneurs for taking assertive decisions regarding the adoption of manufacturing technologies, methods and tools. The proposition of using network theory to support decision making on this topic may lead to further studies, developments and adaptations of the framework.

Originality/value

This paper addresses the topics of lean manufacturing and Industry 4.0 in an unprecedented way, by quantifying the adoption of its technologies, methods and tools and presenting it in network visualizations. The main value of this paper is the comprehensive framework that applies the technology networks for supporting decision making regarding technology adoption.

Details

Journal of Manufacturing Technology Management, vol. 35 no. 1
Type: Research Article
ISSN: 1741-038X

Keywords

Open Access
Article
Publication date: 12 December 2023

Laura Lucantoni, Sara Antomarioni, Filippo Emanuele Ciarapica and Maurizio Bevilacqua

The Overall Equipment Effectiveness (OEE) is considered a standard for measuring equipment productivity in terms of efficiency. Still, Artificial Intelligence solutions are rarely…

Abstract

Purpose

The Overall Equipment Effectiveness (OEE) is considered a standard for measuring equipment productivity in terms of efficiency. Still, Artificial Intelligence solutions are rarely used for analyzing OEE results and identifying corrective actions. Therefore, the approach proposed in this paper aims to provide a new rule-based Machine Learning (ML) framework for OEE enhancement and the selection of improvement actions.

Design/methodology/approach

Association Rules (ARs) are used as a rule-based ML method for extracting knowledge from huge data. First, the dominant loss class is identified and traditional methodologies are used with ARs for anomaly classification and prioritization. Once selected priority anomalies, a detailed analysis is conducted to investigate their influence on the OEE loss factors using ARs and Network Analysis (NA). Then, a Deming Cycle is used as a roadmap for applying the proposed methodology, testing and implementing proactive actions by monitoring the OEE variation.

Findings

The method proposed in this work has also been tested in an automotive company for framework validation and impact measuring. In particular, results highlighted that the rule-based ML methodology for OEE improvement addressed seven anomalies within a year through appropriate proactive actions: on average, each action has ensured an OEE gain of 5.4%.

Originality/value

The originality is related to the dual application of association rules in two different ways for extracting knowledge from the overall OEE. In particular, the co-occurrences of priority anomalies and their impact on asset Availability, Performance and Quality are investigated.

Details

International Journal of Quality & Reliability Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 7 February 2024

Madhavi Prashant Patil and Ombretta Romice

In urban studies, understanding how individuals perceive density is a complex challenge due to the subjective nature of this perception, which is influenced by sociocultural…

30

Abstract

Purpose

In urban studies, understanding how individuals perceive density is a complex challenge due to the subjective nature of this perception, which is influenced by sociocultural, personal and environmental factors. This study addresses these complexities by proposing a systematic framework for comprehending how people perceive density within urban contexts.

Design/methodology/approach

The methodology for developing the framework involved a systematic review of existing literature on the perception of density and related concepts, followed by integrating insights from empirical investigations. The framework designed through this process overcomes the limitations identified in previous research and provides a comprehensive guide for studying perceived density in urban environments.

Findings

The successful application of the framework on case studies in Glasgow and international settings enabled the identification of 20 critical spatial factors (buildings, public realm and urban massing) influencing density perception. The research provided insights into the subjective nature of density perception and the impact that spatial characters of urban form play, demonstrating the framework's effectiveness in understanding the impact of urban form, which is the realm of design and planning professions, on individual experiences.

Originality/value

The paper's originality lies in its comprehensive synthesis of the existing knowledge on the perception of density, the development of a user-responsive framework adaptable to future research and its application in case studies of different natures to identify recurrent links between urban form and user-specific constructs.

Details

Archnet-IJAR: International Journal of Architectural Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2631-6862

Keywords

Article
Publication date: 22 January 2024

Yanhui Du, Jingfeng Yuan, ShouQing Wang, Yan Liu and Ningshuang Zeng

The information used for supervision by regulatory departments in public-private partnership (PPP) projects is primarily transmitted and processed by the PPP implementation…

89

Abstract

Purpose

The information used for supervision by regulatory departments in public-private partnership (PPP) projects is primarily transmitted and processed by the PPP implementation department, which negatively impacts the information quality, leading to information asymmetry and undermining the overall effectiveness of supervision. This study aims to explore how to use blockchain to anchor the information used for supervision in PPP projects to the original information, to strengthen the oversight.

Design/methodology/approach

This paper adopts the principles of design science research (DSR) to design a conceptual framework that systematically organizes information along the information dissemination chain, ensuring the reliable anchoring of original information. Two-stage interviews involving experts from academia and industry are conducted, serving as formative and summative evaluations to guide the design.

Findings

The framework establishes a weak-centralized information organizing mode, including the design of governance community and on-chain and off-chain governance mechanisms. Feedback from experts is collected via interviews and the designed framework is thought to improve information used for supervision. Constructive suggestions are also collected and analyzed for further development.

Originality/value

This paper provides a novel example exploring the inspirations blockchain can bring to project governance, like exercising caution regarding the disorderly expansion of public sector authority in addressing information disadvantages and how to leverage blockchain to achieve this. Technical details conveyed by the framework deepen understanding of how blockchain benefits and the challenges faced in successful implementation for practitioners and policymakers. The targeted evaluation serves as rigorous validation, guiding experts to provide reliable feedback and richer insights by offering them a more cognitively convenient scenario.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 15 August 2022

Gokhan Kazar, Ugur Mutlu and Onur Behzat Tokdemir

Cost overruns remain a persistent problem in the construction industry. Although various cost management strategies have been implemented, innovative approaches are still…

Abstract

Purpose

Cost overruns remain a persistent problem in the construction industry. Although various cost management strategies have been implemented, innovative approaches are still required. Therefore, the authors attempted to introduce and test a new cost management strategy for the construction industry.

Design/methodology/approach

Zero-based budgeting (ZBB) is one such method whose effectiveness has been proven in different industries over many years. Therefore, the authors initially developed two different frameworks related to the integration of ZBB into a multinational construction contractor and the application process of ZBB for a construction project in this study. Then, the effectiveness and feasibility of the proposed frameworks are tested via an actual field study in a mega construction project.

Findings

The results show savings of 0.81% of the total project budget and 4.74% of the focused cost items by following the ZBB framework compared to the traditionally estimated project budget. The feedback received from the employees in the construction company shows that ZBB could be efficiently implemented during ongoing construction projects.

Research limitations/implications

The authors believe that implementing new cost management strategies such as ZBB will open doors to deal with the complex cost overrun issues and improve construction cost performances.

Originality/value

This manuscript is the first actual application of the ZBB cost management approach in the construction industry.

Details

Engineering, Construction and Architectural Management, vol. 30 no. 10
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 28 September 2022

Angeliki Kylili, Phoebe-Zoe Georgali, Petros Christou and Paris Fokaides

The built environment is taking enormous leaps towards its digitalization. Computer-aided tools such as building information modeling (BIM) are found in the forefront of this…

428

Abstract

Purpose

The built environment is taking enormous leaps towards its digitalization. Computer-aided tools such as building information modeling (BIM) are found in the forefront of this evolution, playing a critical role in creating the foundations for the upcoming development of smart low-carbon cities. However, the potential of BIM is still untapped – links will need to be created among the available and forthcoming methodologies under one integral operational system. The purpose of this paper is to present an integrated BIM-based life cycle-oriented framework for achieving sustainable constructions at the pre-construction phase. The developed framework represents an example of the approaches that the construction industry will need to adopt to integrate the different tools under an integrated smart city context.

Design/methodology/approach

The methodological approach follows the development of four same-volume different-configuration three-dimensional BIM designs, which are coupled with life cycle assessment (LCA) tools for establishing sustainable building design.

Findings

The results of this paper indicated that the choice of building design and shape can play a significant role in reducing the embodied energy and embodied carbon of buildings, achieving a reduction of up to 15% compared to a reference building of same volume and gross floor area.

Originality/value

The originality of this paper is found in its approach application by coupling three-dimensional BIM models with LCA data, the use of reinforcement detailing in an nD BIM study and the employment of country-specific LCA databases.

Details

Construction Innovation , vol. 24 no. 2
Type: Research Article
ISSN: 1471-4175

Keywords

Open Access
Article
Publication date: 2 August 2023

Armaghan Chizaryfard, Yulia Lapko and Paolo Trucco

This study advocates the importance of taking an evolutionary perspective in the strategic configuration of closed-loop supply chains (CLSC) in the transition to a circular…

1188

Abstract

Purpose

This study advocates the importance of taking an evolutionary perspective in the strategic configuration of closed-loop supply chains (CLSC) in the transition to a circular economy. Building on the supply chain management and industrial dynamics research domains, an evolutionary analytical framework was developed and applied in the empirical context of the ongoing industrial transition to e-mobility.

Design/methodology/approach

This study is designed as an in-depth exploratory case study to capture the multi-layer dynamic complexities and their interplay in CSLC development. The empirical investigation was based on two-year interactions between the authors and various departments in a leading European heavy vehicle manufacturer. The proposed evolutionary analytical framework was used for investigating the dynamics of four CLSC configurations through ten possible trajectories.

Findings

The findings demonstrate that the evolution of each CLSC configuration comes with multiple challenges and requirements and point out the necessity for the co-development of technologies, product design and production, and infrastructure through long-term relationships among key supply chain actors. However, this evolutionary journey is associated with multiple dilemmas caused by uncertainties in the market and technology developments. All these factors were properly captured and critically analyzed, along with their interactions, thanks to the constructs included in the proposed evolutionary analytical framework.

Research limitations/implications

The proposed evolutionary framework is applicable for examination of SC transformation in the context of market and technology development, and is particularly relevant for transitioning from linear SC to CLSC. The framework offers a single actor perspective, as it does not directly tackle dynamics and effects of actions taken by SC actors.

Practical implications

The developed framework can support SC managers in identifying, framing, and comparing alternative strategies for CLSC configuration in the transition process.

Originality/value

This study proposes the framework for understanding and guiding the evolutionary process of CLSC development. Its uniqueness lies in the integration of concepts from innovation and evolutionary theories coming from industrial dynamics and SCM literature streams.

Details

The International Journal of Logistics Management, vol. 34 no. 7
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 20 April 2023

Susan Dun and Hatim Rachdi

This paper aims to evaluate the FIFA requirement that World Cup host nations make alcohol available at World Cup stadia because of its sponsorship agreement with Anheuser-Busch…

Abstract

Purpose

This paper aims to evaluate the FIFA requirement that World Cup host nations make alcohol available at World Cup stadia because of its sponsorship agreement with Anheuser-Busch. This paper suggests a framework that FIFA should use in evaluating potential host nations to address the ethical implications of alcohol at the World Cup, especially considering the recent Qatar 2022 World Cup, the first to be held in an Islamic Country.

Design/methodology/approach

Using historical analysis of recent World Cups and guided by the Culture-Centered Approach (Dutta, 2008) and stakeholder analysis literature, this paper examines the ethical dilemmas host nations have faced because of FIFA’s insistence on alcohol sales at World Cup stadia.

Findings

The analysis suggests that a three-step process of host country assessment, stakeholder mapping and negotiation would enable the discovery of potential ethical conflicts and thus their negotiation to mitigate the ethical conflicts FIFA’s preexisting sponsorship agreements create for some World Cup host nations, especially Islamic countries.

Research limitations/implications

While the framework is conceptual and has not been tested, the components from which the authors draw are well established. The application to mega events sports hosting negotiations is an original contribution. The interdisciplinary nature of the framework also provides a contribution to the research field.

Practical implications

Application of the framework would enable FIFA and host countries to negotiate mutually agreeable conditions and avoid placing host nations in ethically compromising situations, which is especially timely as FIFA expands into Islamic countries. Its utilization would provide a Halal environment for World Cups hosted in Islamic and perhaps other, countries.

Social implications

FIFA’s commitment to alcohol at World Cups should be questioned. FIFA should not expand this dangerous practice of associating sports with alcohol. Female fans may feel safer, as occurred in Qatar 2022.

Originality/value

This paper's framework uniquely combines communication and strategic management literature and applies it to mega sports events in an original way that would lead to more ethical and culturally contextualized World Cups rather than reifying the alcohol–sport nexus.

Details

Journal of Islamic Marketing, vol. 15 no. 1
Type: Research Article
ISSN: 1759-0833

Keywords

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