Enablers for digital supply chain transformation in the service industry
被引:5
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作者:
Alzarooni, Arwa Mohamed
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机构:
Univ Sharjah, Ind Engn & Engn Management, Sharjah, U Arab EmiratesUniv Sharjah, Ind Engn & Engn Management, Sharjah, U Arab Emirates
Alzarooni, Arwa Mohamed
[1
]
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Khan, Sharfuddin Ahmed
[2
]
Gunasekaran, Angappa
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机构:
Penn State Harrisburg, Sch Business Adm, E355 Olmsted Bldg,777 West Harrisburg Pike, Middletown, PA 17057 USAUniv Sharjah, Ind Engn & Engn Management, Sharjah, U Arab Emirates
Gunasekaran, Angappa
[3
]
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Mubarik, Muhammad Shujaat
[4
]
机构:
[1] Univ Sharjah, Ind Engn & Engn Management, Sharjah, U Arab Emirates
[2] Univ Regina, Ind Syst Engn, 3737 Wascana Pkwy, Regina, SK S4S 0A2, Canada
[3] Penn State Harrisburg, Sch Business Adm, E355 Olmsted Bldg,777 West Harrisburg Pike, Middletown, PA 17057 USA
[4] Inst Business Management IoBM, Coll Business Management, Karachi 75190, Pakistan
Digital supply chain;
Service sector;
MCDM;
Interpretive structural modelling;
DEMATEL;
Enablers;
Digital transformation;
DEMATEL;
ISM;
IMPLEMENTATION;
DIGITIZATION;
MANAGEMENT;
D O I:
10.1007/s10479-022-05047-x
中图分类号:
C93 [管理学];
O22 [运筹学];
学科分类号:
070105 ;
12 ;
1201 ;
1202 ;
120202 ;
摘要:
Businesses across the globe are adopting digital supply chain (DSC) management parameters to attain supply chain resilience, flexibility and efficiency together. Interestingly, in some cases, businesses claim that the adoption of DSC has proven to be counter-productive. We argue that such firms faced issues because of their poor/lack of readiness to adopt DSC. The readiness for DSC includes identification of DSC enablers and development of a strategy to capitalize on them. Against this backdrop, the objective of the present study is to identify the enablers of DSC from the literature, validate them with help of experts and explore the contextual relationship between them. The list of enablers highlighted in this study can be used in the future, as a guideline to evaluating the service organisations' readiness to adopt the DSC. The study adopts a threefold approach. In the first step, DSC enablers are identified from the literature. In the second step, the Interpretive structural model is developed using the expert opinion of 17 professionals from different service sector organisations in the United Arab Emirates, selected using the defined criterion. In the third step, decision-making trial and evaluation laboratory is employed to prioritise and find interrelationships among identified enablers. The results revealed that "smart warehousing" is the most influential enabler with high driving power and weak dependence power. Similarly, "Intelligence" and "Real-time" are operative enablers in the transformation process of DSC and have strong driving power and dependence power. The findings of this study can help organisations and decision-makers to focus on specific DSC transformation enablers, to transform their traditional supply chain to DSC.
机构:
Southwestern Univ Finance & Econ, Sch Int Business, Chengdu, Peoples R ChinaSouthwestern Univ Finance & Econ, Sch Int Business, Chengdu, Peoples R China
Gao, Di
Wang, Zhiyu
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机构:
Southwestern Univ Finance & Econ, Sch Int Business, Chengdu, Peoples R ChinaSouthwestern Univ Finance & Econ, Sch Int Business, Chengdu, Peoples R China
Wang, Zhiyu
Zhang, Wan
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机构:
China West Normal Univ, Business Sch, 1 Shidai Rd, Nanchong 637009, Peoples R ChinaSouthwestern Univ Finance & Econ, Sch Int Business, Chengdu, Peoples R China
机构:
Univ Wollongong, Sch Business, Dubai Knowledge Pk, Dubai, U Arab Emirates
Univ Wollongong, Sch Business, Dubai Knowledge Pk,POB 20183, Dubai, U Arab EmiratesUniv Wollongong, Sch Business, Dubai Knowledge Pk, Dubai, U Arab Emirates
Sundarakani, Balan
Manikas, Ioannis
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机构:
Czech Univ Life Sci Prague CZU, Fac Agrobiol Food & Nat Resources, Prague, Czech RepublicUniv Wollongong, Sch Business, Dubai Knowledge Pk, Dubai, U Arab Emirates
Manikas, Ioannis
Gunasekaran, Angappa
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机构:
Penn State Univ, Sch Business Adm, Supply Chain Management, Middletown, PA USAUniv Wollongong, Sch Business, Dubai Knowledge Pk, Dubai, U Arab Emirates