ORCID Profile
0000-0002-2927-5628
Current Organisations
CSIRO
,
University of New South Wales
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Publisher: IEEE
Date: 07-2018
Publisher: MDPI AG
Date: 27-05-2021
DOI: 10.3390/INFORMATICS8020036
Abstract: The construction industry has dynamic supply chains with multiple suppliers usually engaged in short-term relationships. Government legislation, novel types of payment agreements, conventional information technology solutions, and supply chain management best practices have endeavoured to solve payment-related financial issues in the construction industry, which are mainly caused by the complexities of the construction supply chain. Nevertheless, payment-related issues persist as one of the key challenges in the industry. Applications of blockchain technology–a trusted, distributed data storing mechanism–along with smart contracts are gaining focus as solutions for complex interorganisational processes. A smart contract is a self-executing script that codifies a set of rules or agreements between multiple parties and runs across the blockchain network. This paper identifies the suitability of blockchain and smart contract technologies in solving payment issues in the construction industry. An expert forum of construction industry stakeholders served as the primary data collection method through a structured questionnaire. The key finding of the paper is that blockchain and smart contract powered solutions can significantly mitigate the payment and related financial issues in the construction industry, including partial payments, nonpayments, cost of finance, long payment cycle, retention, and security of payments.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: IEEE
Date: 05-2017
Publisher: IEEE
Date: 03-2021
Publisher: IEEE
Date: 12-2021
Publisher: IEEE
Date: 07-2018
Publisher: IEEE
Date: 10-2018
Publisher: IEEE
Date: 08-2016
Publisher: Association for Computing Machinery (ACM)
Date: 12-03-2015
DOI: 10.1145/2729139
Abstract: Collaborative peer-to-peer (P2P), grid, and cloud computing rely on resource discovery (RD) solutions to aggregate groups of multi-attribute, dynamic, and distributed resources. However, specific characteristics of real-world resources and queries, and their impact on P2P-based RD, are largely unknown. We analyze the characteristics of resources and queries using data from four real-world systems. These characteristics are then used to qualitatively and quantitatively evaluate the fundamental design choices for P2P-based multi-attribute RD. The datasets exhibit several noteworthy features that affect the performance. For ex le, compared to uniform queries, real-world queries are relatively easier to resolve using unstructured, superpeer, and single-attribute-dominated query-based structured P2P solutions, as queries mostly specify only a small subset of the available attributes and large ranges of attribute values. However, all the solutions are prone to significant load balancing issues, as the resources and queries are highly skewed and correlated. The implications of our findings for improving RD solutions are also discussed.
Publisher: IEEE
Date: 05-2018
Publisher: IEEE
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Springer International Publishing
Date: 2018
Publisher: Springer International Publishing
Date: 2020
Publisher: IEEE
Date: 12-2016
DOI: 10.1109/HIPC.2015.36
Publisher: IEEE
Date: 05-2017
Publisher: IEEE
Date: 28-05-2023
Publisher: IEEE
Date: 05-2017
Publisher: Springer International Publishing
Date: 2021
Publisher: ACM
Date: 07-2020
Publisher: IEEE
Date: 04-2019
Publisher: IEEE
Date: 05-2016
Publisher: IEEE
Date: 05-2015
Publisher: IEEE
Date: 12-2018
Publisher: IEEE
Date: 04-2016
Publisher: IEEE
Date: 05-2018
Publisher: University of Moratuwa
Date: 08-11-2019
DOI: 10.31705/WCS.2019.61
Location: Australia
No related grants have been discovered for Dilum Bandara.