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  • Search: subject:"Bayesian best worst method"
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Year of publication
Subject
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Bayesian best-worst method 6 Nachhaltige Entwicklung 4 Sustainable development 4 Lieferkette 3 Multi-criteria analysis 3 Multikriterielle Entscheidungsanalyse 3 Nachhaltigkeit 3 Supply chain 3 Sustainability 3 Bayesian best worst method 2 Digitalisierung 2 Digitization 2 Emerging economies 2 Environmental management 2 Industry 4.0 2 Schwellenländer 2 Umweltmanagement 2 Apparel e-commerce 1 Artificial intelligence 1 Bayesian Best-Worst Method 1 Bayesian best worst method (BWM) 1 Bekleidung 1 Bekleidungsindustrie 1 Blockchain 1 Circular economy 1 Clothing 1 Clothing industry 1 Critical success factors 1 DEMA℡ 1 Data envelopment analysis 1 Data-Envelopment-Analyse 1 Decision 1 Digital technologies 1 E-commerce 1 Electronic Commerce 1 Emerging economy 1 Entscheidung 1 Environmental policy 1 Erfolgsfaktor 1 Erneuerbare Energie 1
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Online availability
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Free 6 CC license 5 Undetermined 4
Type of publication
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Article 10
Type of publication (narrower categories)
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Article in journal 9 Aufsatz in Zeitschrift 9 research-article 1
Language
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English 10
Author
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Bari, A. B. M. Mainul 3 Debnath, Binoy 3 Karmaker, Chitra Lekha 2 Shakur, Md Shihab 2 Afghah, Maryam 1 Agrawal, Rajeev 1 Al Aziz, Ridwan 1 Alipour-Vaezi, Mohammad 1 Amoozad Mahdiraji, Hannan 1 Emroozi, Vahideh Bafandegan 1 Ferdoush, Md. Ruhul 1 Garza-Reyes, Jose Arturo 1 Gölgeci, Ismail 1 Jabbar, Abdul 1 Jamwal, Anbesh 1 Kalpoe, Ruchika 1 Kumari, Sushma 1 Limon, Mohammad Hossain 1 Lo, Huai-Wei 1 Lubaba, Maishat 1 Modares, Azade 1 Modares, Azam 1 Rahman, M. Azizur 1 Razavi, Seyed Mostafa 1 Rezaie, Kamran 1 Roozkhosh, Pardis 1 Sajadi, Seyed Mojtaba 1 Sharifpour Arabi, Hojatallah 1 Sharma, Monica 1 Siao, Zhu 1 Tavakkoli-Moghaddam, Reza 1 Yazdi, Mohammadreza Taghizadeh 1
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Published in...
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Business strategy and the environment 1 Decision analytics journal 1 Emerging markets, finance & trade : a journal of the Society for the Study of Emerging Markets 1 Innovation and green development 1 International journal of business 1 International journal of global business and competitiveness : a journal of Global Institute of Flexible Systems Management 1 Journal of supply chain management science : JSCMS 1 Logistics 1 Supply chain analytics 1 The TQM Journal 1
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Source
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ECONIS (ZBW) 9 Other ZBW resources 1
Showing 1 - 10 of 10
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A Bayesian best-worst approach with blockchain integration for optimizing supply chain efficiency through supplier selection
Modares, Azam; Emroozi, Vahideh Bafandegan; Roozkhosh, … - In: Supply chain analytics 9 (2025), pp. 1-15
amidst uncertainty effectively. Leveraging the Bayesian best-worst method (BWM), optimal weights for evaluating supplier …
Persistent link: https://www.econbiz.de/10015325175
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Exploring the challenges of industry 4.0 adoption in the fmcg sector : implications for resilient supply chain in emerging economy
Shakur, Md Shihab; Lubaba, Maishat; Debnath, Binoy; … - In: Logistics 8 (2024) 1, pp. 1-28
decision-making (MCDM) framework, the Bayesian best worst method (BWM). Results: The findings indicated that “requirement for …
Persistent link: https://www.econbiz.de/10014506703
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Unraveling the challenges of waste-to-energy transition in emerging economies : implications for sustainability
Ferdoush, Md. Ruhul; Al Aziz, Ridwan; Karmaker, Chitra Lekha - In: Innovation and green development 3 (2024) 2, pp. 1-15
The recent geopolitical events, such as the conflict between Russia and Ukraine, have strained the available resources worldwide. In emerging economies like Bangladesh, which is heavily reliant on imported gas, oil, and coal, this has created a severe energy crisis. In response to the energy...
Persistent link: https://www.econbiz.de/10015054119
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A Bayesian Best-Worst approach for assessing the critical success factors in sustainable lean manufacturing
Debnath, Binoy; Shakur, Md Shihab; Bari, A. B. M. Mainul; … - In: Decision analytics journal 6 (2023), pp. 1-14
Best-Worst method (BWM) to evaluate the importance of these CSFs. This study shows that sustainable resource utilization …, and performance and technological cluster, based on the suggestions from the experts. Finally, we employed the Bayesian …
Persistent link: https://www.econbiz.de/10014337166
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Hard dimensions evaluation in sustainable supply chain management for environmentally adaptive and mitigated adverse eco-effect environmental policies
Afghah, Maryam; Sajadi, Seyed Mojtaba; Razavi, Seyed Mostafa - In: Business strategy and the environment 32 (2023) 7, pp. 5044-5067
Persistent link: https://www.econbiz.de/10014442137
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Unlocking circular economy through digital transformation : the role of enabling factors in SMEs
Jamwal, Anbesh; Kumari, Sushma; Agrawal, Rajeev; … - In: International journal of global business and … 19 (2024) 1, pp. 24-36
Persistent link: https://www.econbiz.de/10015188235
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Exploring the role of multiple criteria decision-making in enterprise digital transformation
Lo, Huai-Wei; Siao, Zhu - In: International journal of business 28 (2023) 3, pp. 129-145
Persistent link: https://www.econbiz.de/10014340611
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Proposing a novel data-driven optimization methodology to calculate the insurance premium in the iranian health insurance industry
Alipour-Vaezi, Mohammad; Rezaie, Kamran; … - In: Emerging markets, finance & trade : a journal of the … 59 (2023) 10, pp. 3362-3377
Persistent link: https://www.econbiz.de/10014321102
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Measuring the readiness level for Kaizen projects: a multi-layer Bayesian decision-making framework
Amoozad Mahdiraji, Hannan; Sharifpour Arabi, Hojatallah; … - In: The TQM Journal 36 (2023) 6, pp. 1420-1441
, their importance is cross-examined by the Bayesian best–worst Method (BBWM). The BBWM is one of the most recent multiple …
Persistent link: https://www.econbiz.de/10015356692
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Technology acceptance and return management in apparel e-commerce
Kalpoe, Ruchika - In: Journal of supply chain management science : JSCMS 1 (2020) 3/4, pp. 118-137
Returns management, especially in apparel e-commerce, has gained increased attention due to the ecological and economic implications it imposes. However, research which explores the relationship between (i) reasons which drive customers’ apparel returns and (ii) customer-based instruments...
Persistent link: https://www.econbiz.de/10013447533
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