International Journal of Business Performance and Supply Chain Modelling

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594

历年发表同类期刊

ISSN：

print: 1758-9401
on-line: 1758-941X

研究领域：

Business, Management and Accounting-Business and International Management

Gold OA文章占比：

0.00%

原创研究文献占比：

0.00%

SCI收录类型：

Scopus (CiteScore)

期刊介绍英文：

IJBPSCM covers original, high-quality and cutting-edge research on all aspects of supply chain modelling, aiming at bridging the gap between theory and practice with applications analysing the real situation to improve business performance. Topics covered include Business performance modelling, strategy Vendor/supplier selection, supplier development, purchasing management Supply chain management (SCM), green supply chain modelling Reverse logistics, closed loop/knowledge-based supply chains, 3PL/4PL Sustainable/quality based/agile/leagile/intelligent SCM Supply chain performance/optimisation/risk/decision making/support systems AI, information sharing in SCM, systems approach to SCM Coordinated/global/flexible SCM, risk mitigation strategies Stochastic supply chain games IT-enabled SCM, fuzzy modelling, data mining Supply chain network management, modelling/simulation, implementation Training/education, information security, RFID Supply chain analysis, transportation decisions, vehicle routing, bullwhip effect Logistics in disaster management Cross-country comparison.

CiteScore：

CiteScore	SJR	SNIP	CiteScore排名
2.0	0.283	0.457	学科排名百分位大类：Business, Management and Accounting 小类：Business and International Management 281 / 443 36% 大类：Business, Management and Accounting 小类：Strategy and Management 310 / 478 35% 大类：Decision Sciences 小类：Management Science and Operations Research 139 / 207 33%

发文信息

历年影响因子

历年发表

2012年	19
2013年	20
2014年	23
2015年	20
2016年	21
2017年	33
2018年	19
2019年	20
2020年	33
2021年	35
2022年	22

投稿信息

出版国家(地区)：

United Kingdom

出版商：

Inderscience Publishers

PubMed链接：

http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1758-9401%5BISSN%5D

International Journal of Business Performance and Supply Chain Modelling - 最新文献

A proposed hybrid VUCA theory and decision making for logistics enterprises in Oman due to uncertainty contemporary factors

Pub Date : 2023-01-01 DOI: 10.1504/ijbpscm.2023.10055633 A. Benayoune, M. Othman, Nur Hazwani Karim, A. Hamid, Noorul Shaiful Fitri Abdul Rahman, M. S. Ishak

Drivers and barriers of digital transformation - an empirical study on the example of Hungarian companies

Pub Date : 2023-01-01 DOI: 10.1504/ijbpscm.2023.133643 Nikoletta Kaszás, Ildikó Ernszt, Bálint Jakab

Selection of ideal supplier in e-procurement for manufacturing industry using intuitionistic fuzzy AHP

Pub Date : 2023-01-01 DOI: 10.1504/ijbpscm.2023.130484 M. Deepika

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