Next Article in Journal
Blockchain-Based Wine Supply Chain for the Industry Advancement
Previous Article in Journal
Traffic Efficiency Models for Urban Traffic Management Using Mobile Crowd Sensing: A Survey
Article

Minimizing Macro-Level Uncertainties for Quality Assurance in Reverse Logistics Supply Chains of Demolition Waste

1
UniSA STEM: Circular Economy and Scare Resources (ScaRCE), University of South Australia, Adelaide, SA 5000, Australia
2
Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg 2094, South Africa
3
Australian Research Centre for Interactive and Virtual Environments, University of South Australia, Adelaide, SA 5000, Australia; [email protected]
*
Author to whom correspondence should be addressed.
Academic Editor: Castorina Silva Vieira
Sustainability 2021, 13(23), 13069; https://doi.org/10.3390/su132313069
Received: 17 September 2021 / Revised: 16 November 2021 / Accepted: 16 November 2021 / Published: 25 November 2021
In light of the increasing detrimental effects on sustainability, the reverse logistics supply chain (RLSC) has emerged as one of the remedies in the construction industry, whereby the bulk of demolition waste (DW) is returned into the production cycle. Quality assurance (QA) plays an important role in RLSCs, which needs an information-rich environment enriched with external stakeholders’ influence strategies. However, due to ineffective external stakeholders’ influence, useful information is not available, making macro-level uncertainties for QA. Given this, the current study aimed to identify the macro-level uncertainties for QA in the RLSC of DW. The study used a qualitative approach involving 21 semi-structured interviews representing five external stakeholder categories. The study found the regulatory uncertainties are the root causes that propagate through incentivizing and contractual uncertainties to influence QA in the RLSC. The external stakeholders could employ measures such as ‘reforming regulatory instruments’, ‘employing effective incentivizing schemes’ and ‘active involvement of forward supply chain actors’ to minimize uncertainties at their source. The external and internal stakeholders can use these findings as a roadmap to determine suitable measures to overcome macro-level uncertainties in the RLSC. Furthermore, the study paved an avenue to integrate stakeholder theory and organizational information processing theory (OIPT) in future research. View Full-Text
Keywords: demolition waste; external stakeholders; organizational information processing theory; macro-level uncertainty; quality assurance; reverse logistics supply chains; stakeholder theory demolition waste; external stakeholders; organizational information processing theory; macro-level uncertainty; quality assurance; reverse logistics supply chains; stakeholder theory
Show Figures

Figure 1

MDPI and ACS Style

Wijewickrama, M.K.C.S.; Chileshe, N.; Rameezdeen, R.; Ochoa, J.J. Minimizing Macro-Level Uncertainties for Quality Assurance in Reverse Logistics Supply Chains of Demolition Waste. Sustainability 2021, 13, 13069. https://doi.org/10.3390/su132313069

AMA Style

Wijewickrama MKCS, Chileshe N, Rameezdeen R, Ochoa JJ. Minimizing Macro-Level Uncertainties for Quality Assurance in Reverse Logistics Supply Chains of Demolition Waste. Sustainability. 2021; 13(23):13069. https://doi.org/10.3390/su132313069

Chicago/Turabian Style

Wijewickrama, Madduma K.C.S., Nicholas Chileshe, Raufdeen Rameezdeen, and Jose J. Ochoa 2021. "Minimizing Macro-Level Uncertainties for Quality Assurance in Reverse Logistics Supply Chains of Demolition Waste" Sustainability 13, no. 23: 13069. https://doi.org/10.3390/su132313069

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop