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Fuzzy sets
23
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Lieferkette
19
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19
AHP approach
10
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10
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Kant, Ravi
Xu, Zeshui
46
Tavana, Madjid
36
Mahapatra, Siba Sankar
34
Datta, Saurav
28
Hatami-Marbini, Adel
27
Betti, Gianni
24
Dinçer, Hasan
24
Stahlecker, Peter
21
Yüksel, Serhat
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Zavadskas, Edmundas Kazimieras
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Liao, Huchang
19
Gil Lafuente, Ana María
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Huarng, Kun-Huang
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Chen, Xiaohong
17
Kahraman, Cengiz
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Yu, Tiffany Hui-Kuang
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Arnold, Bernhard
16
Tseng, Minglang
16
Azadeh, Mohammad Ali
15
Belhadj, Besma
15
Kumar, Dinesh
15
Saati, Saber
15
Singh, Rajesh K.
15
Spengler, Thomas
15
Zopounidis, Constantin
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Dimitrov, Dinko
14
Emrouznejad, Ali
14
Rommelfanger, Heinrich
14
Giovanis, Eleftherios
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Vinodh, S.
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Kumar, Pradeep
12
Mastroleo, Giovanni
12
Pedrycz, Witold
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Wu, Kuo-Jui
12
Deveci, Muhammet
11
Maiti, Manoranjan
11
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International journal of decision sciences, risk and management
3
International journal of business innovation and research
2
International journal of integrated supply management : IJISM
2
International journal of logistics systems and management
2
Journal of information & knowledge management : JIKM
2
Asia Pacific journal of marketing and logistics
1
Benchmarking : an international journal ; BIJ
1
International journal of business performance and supply chain modelling : IJBPSCM
1
International journal of procurement management
1
International journal of production research
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International journal of six sigma and competitive advantage : IJSSCA
1
Journal of advances in management research : JAMR
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Journal of decision systems
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ECONIS (ZBW)
23
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1
Modelling the supplier selection process enablers using ISM and fuzzy MICMAC approach
Kumar, Sudarshan
;
Gorane, Shrikant
;
Kant, Ravi
- In:
The journal of business & industrial marketing
30
(
2015
)
5
,
pp. 536-551
Persistent link: https://www.econbiz.de/10011339886
Saved in:
2
Selection of best knowledge flow practicing organisation using hybrid fuzzy AHP-VIKOR method
Bhosale, Vishal A.
;
Kant, Ravi
- In:
International journal of decision sciences, risk and …
5
(
2013/14
)
3
,
pp. 234-262
Persistent link: https://www.econbiz.de/10011347008
Saved in:
3
Understanding the knowledge sharing barriers in organisation : a fuzzy AHP approach
Jeenger, Praveen
;
Kant, Ravi
- In:
Journal of information & knowledge management : JIKM
12
(
2013
)
1
,
pp. 1-12
Persistent link: https://www.econbiz.de/10009752121
Saved in:
4
Modelling the SCM enablers : an integrated ISM-fuzzy MICMAC approach
Gorane, S. J.
;
Kant, Ravi
- In:
Asia Pacific journal of marketing and logistics
25
(
2013
)
2
,
pp. 263-286
Persistent link: https://www.econbiz.de/10009752329
Saved in:
5
Decision making in effective supply chain collaboration : a fuzzy AHP approach
Joshi, Kaustubh
;
Kant, Ravi
- In:
International journal of decision sciences, risk and …
4
(
2012
)
3/4
,
pp. 197-216
Persistent link: https://www.econbiz.de/10009760154
Saved in:
6
An integrated ISM fuzzy MICMAC approach for modelling the supply chain knowledge flow enablers
Bhosale, Vishal Ashok
;
Kant, Ravi
- In:
International journal of production research
54
(
2016
)
23/24
,
pp. 7374-7399
Persistent link: https://www.econbiz.de/10011566545
Saved in:
7
Knowledge management adoption in supply chain : identifying critical success factors using fuzzy DEMATEL approach
Patil, Sachin K.
;
Kant, Ravi
- In:
Journal of modelling in management
9
(
2014
)
2
,
pp. 160-178
Persistent link: https://www.econbiz.de/10010413649
Saved in:
8
Predicting the success of knowledge management adoption in supply chain using fuzzy DEMATEL and FMCDM approach
Patil, Sachin K.
;
Kant, Ravi
- In:
International journal of business performance and …
6
(
2014
)
1
,
pp. 75-93
Persistent link: https://www.econbiz.de/10010390795
Saved in:
9
Ranking the barriers of knowledge management adoption in supply chain using fuzzy AHP method
Patil, Sachin K.
;
Kant, Ravi
- In:
International journal of business innovation and research
8
(
2014
)
1
,
pp. 52-75
Persistent link: https://www.econbiz.de/10011290178
Saved in:
10
Supply chain management : modelling the enablers using ISM and fuzzy MICMAC approach
Gorane, S. J.
;
Kant, Ravi
- In:
International journal of logistics systems and management
16
(
2013
)
2
,
pp. 147-166
Persistent link: https://www.econbiz.de/10010222777
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