PMID- 37995484
OWN - NLM
STAT- MEDLINE
DCOM- 20240104
LR  - 20240104
IS  - 1095-8630 (Electronic)
IS  - 0301-4797 (Linking)
VI  - 350
DP  - 2024 Jan 15
TI  - Managing open loop water resource value chain through IoT focused decision and 
      information integration (DII) modelling using fuzzy MCDM approach.
PG  - 119609
LID - S0301-4797(23)02397-6 [pii]
LID - 10.1016/j.jenvman.2023.119609 [doi]
AB  - Water is a limited and invaluable resource that is essential for human survival. 
      Negligence and unregulated water use have brought about a global water crisis. 
      Proper management with a relevant decision and information integration approach 
      can aid water to continue as a renewable resource. The water and wastewater 
      industry must shift from outmoded, inefficient techniques to more sustainable, 
      data-driven solutions to address water concerns and improve public health. The 
      Internet of Things (IoT) has emerged as an innovative strategy for decision and 
      information integration to drive an open-loop Water Value Chain (WVC) 
      efficiently. The IoT-driven network allows objects to connect and communicate, 
      gather data in real-time, analyze data and develop reasonable decision - making 
      insights instantaneously. This study aims to find the enablers of IoT for an 
      open-loop WVC. It examines 25 factors for IoT implementation in the open-loop 
      WVC. The 25 factors are clustered into seven enablers using Principal Component 
      Analysis (PCA). These principal components are analyzed by employing a 
      Multi-Criteria Decision Making (MCDM) approach, i.e., the Fuzzy Decision-Making 
      Trial and Evaluation Laboratory (DEMATEL), which helps to find the cause-effect 
      relationship to prioritize the enablers. The fuzzy set theory is used to address 
      the uncertainty and vagueness in experts' opinions and data deficiency problems. 
      The study reveals that the Ecosystem of an IoT network, IoT network configuration 
      and adaptation and data mobility in an IoT network are the most prominent 
      enablers to consider for the implementation of IoT in an open loop WVC. The study 
      may be helpful for regulatory agencies and enterprises in water distribution and 
      processing for identifying and prioritizing the potential enablers of IoT in an 
      open-loop WVC.
CI  - Copyright (c) 2023 Elsevier Ltd. All rights reserved.
FAU - Narang, Dheeraj
AU  - Narang D
AD  - Department of Management Studies, Indian Institute of Technology Delhi, 
      Vishwakarma Bhavan, Saheed Jeet Singh Marg, Hauz Khas, New Delhi, 110016, India. 
      Electronic address: u4_dheeraj277@yahoo.in.
FAU - Madaan, Jitender
AU  - Madaan J
AD  - Department of Management Studies, Indian Institute of Technology Delhi, 
      Vishwakarma Bhavan, Saheed Jeet Singh Marg, Hauz Khas, New Delhi, 110016, India. 
      Electronic address: jmadaan@dms.iitd.ac.in.
FAU - Chan, Felix T S
AU  - Chan FTS
AD  - Department of Decision Sciences, School of Business, Macau University of Science 
      and Technology, Avenida Wai Long, Taipa, Macau. Electronic address: 
      tschan@must.edu.mo.
FAU - Chungcharoen, Ekachidd
AU  - Chungcharoen E
AD  - Thammasat Business School, Department of Operations Management, Thammasat 
      University, Bangkok, 10200, Thailand. Electronic address: 
      echungch@alpha.tu.ac.th.
LA  - eng
PT  - Journal Article
DEP - 20231122
PL  - England
TA  - J Environ Manage
JT  - Journal of environmental management
JID - 0401664
RN  - 059QF0KO0R (Water)
SB  - IM
MH  - Humans
MH  - *Internet of Things
MH  - Uncertainty
MH  - Water
MH  - Water Resources
OTO - NOTNLM
OT  - Fuzzy DEMATEL
OT  - Internet of things (IoT)
OT  - Principal component analysis (PCA)
OT  - Water network
OT  - Water resource value chain
COIS- Declaration of competing interest The authors declare the following financial 
      interests/personal relationships which may be considered as potential competing 
      interests: Prof. Felix T. S. Chan reports financial support was provided by the 
      work described in this paper was substantially supported by grants from Macau 
      University of Science and Technology Faculty Research Grants (FRG) under grant 
      number FRG-22-108-MSB. Prof. Felix T. S. Chan reports financial support was 
      provided by The National Natural Science Foundation of China (NSFC) under grant 
      number 71971143,. Prof. Felix T. S. Chan reports financial support was provided 
      by The Macau Foundation Fund (MFP) under grant number MF-23-008-R. Prof. Felix T. 
      S. Chan reports a relationship with Macau University of Science and Technology 
      School of Business that includes: employment and funding grants.
EDAT- 2023/11/24 00:42
MHDA- 2023/12/11 12:42
CRDT- 2023/11/23 18:07
PHST- 2023/08/22 00:00 [received]
PHST- 2023/10/30 00:00 [revised]
PHST- 2023/11/11 00:00 [accepted]
PHST- 2023/12/11 12:42 [medline]
PHST- 2023/11/24 00:42 [pubmed]
PHST- 2023/11/23 18:07 [entrez]
AID - S0301-4797(23)02397-6 [pii]
AID - 10.1016/j.jenvman.2023.119609 [doi]
PST - ppublish
SO  - J Environ Manage. 2024 Jan 15;350:119609. doi: 10.1016/j.jenvman.2023.119609. 
      Epub 2023 Nov 22.