Critical Success Factors for Blockchain Technology Adoption in Freight Transportation Using Fuzzy ANP-Modified TISM Approach

被引:45
作者
Shardeo, Vipulesh [1 ]
Patil, Anchal [1 ]
Madaan, Jitender [1 ]
机构
[1] Indian Inst Technol Delhi, Dept Management Studies, Room 606, New Delhi 110016, Nct Delhi, India
关键词
Freight transportation; Blockchain Technology; fuzzy; Multi-Criteria Decision-Making; Information and Communication Technologies; SUPPLY CHAIN MANAGEMENT; EVALUATION MODEL; ICT ADOPTION; LOGISTICS; DECISION; PERFORMANCE; FRAMEWORK; SELECTION; INDIA; PRIORITIZATION;
D O I
10.1142/S0219622020500376
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The dynamic and uncertain demand forces organizations to provide flexible services in order to fulfill customer demands. Freight transportation, being the key component of the businesses, requires adoption of efficient Information and Communication Technologies which can induce transparent and flexible services. Blockchain Technology (BT) is an emerging technology which has great potential to cater solutions to freight transportation issues. This study identifies different critical success factors of BT adoption in freight transportation. An integrated Fuzzy Analytic Network Process (FANP) is applied to prioritize identified success factors. Further, modified Total Interpretive Structural Modeling (mTISM) is used to represent the interrelationship among different sub-factors. The findings of the study revealed Development Aspects, Customer Services and Technological Aspects as well as Data Transparency, Reliability and Organizational Culture as the most significant factors and sub-factors, respectively. The proposed model will guide freight transport managers to formulate their strategies regarding BT adoption.
引用
收藏
页码:1549 / 1580
页数:32
相关论文
共 89 条
[71]  
Shardeo V., 2020, P INT C IND ENG OP M, P772
[72]   Explaining sustainable supply chain performance using a total interpretive structural modeling approach [J].
Shibin, K. T. ;
Gunasekaran, Angappa ;
Dubey, Rameshwar .
SUSTAINABLE PRODUCTION AND CONSUMPTION, 2017, 12 :104-118
[73]   Competitiveness of Electronics manufacturing industry in India: an ISM fuzzy MICMAC and AHP approach [J].
Singh, Manoj Kumar ;
Kumar, Harish ;
Gupta, M. P. ;
Madaan, Jitendra .
MEASURING BUSINESS EXCELLENCE, 2018, 22 (01) :88-116
[74]  
Sushil, 2017, GLOBAL J FLEXIBLE SY, V18, P331, DOI [10.1007/S40171-017-0167-3/FIGURES/5, DOI 10.1007/S40171-017-0167-3/FIGURES/5, DOI 10.1007/S40171-017-0167-3]
[75]   Incorporating transportation costs into inventory replenishment decisions [J].
Swenseth, SR ;
Godfrey, MR .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2002, 77 (02) :113-130
[76]   A Blockchain Model for Less Container Load Operations in China [J].
Tan, Albert Wee Kwan ;
Zhao, Yifei ;
Halliday, Thomas .
INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS AND SUPPLY CHAIN MANAGEMENT, 2018, 11 (02) :39-53
[77]   Blockchain Technology Implementation in Logistics [J].
Tijan, Edvard ;
Aksentijevic, Sasa ;
Ivanic, Katarina ;
Jardas, Mladen .
SUSTAINABILITY, 2019, 11 (04)
[78]   Analysing the impact of blockchain-technology for operations and supply chain management: An explanatory model drawn from multiple case studies [J].
Toennissen, Stefan ;
Teuteberg, Frank .
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2020, 52
[79]   Operating system selection using fuzzy replacement analysis and analytic hierarchy process [J].
Tolga, E ;
Demircan, ML ;
Kahraman, C .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2005, 97 (01) :89-117
[80]   The impact of the blockchain on the supply chain: a theory-based research framework and a call for action [J].
Treiblmaier, Horst .
SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2018, 23 (06) :545-559