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

Q3 Business, Management and Accounting

International Journal of Business Performance and Supply Chain Modelling Pub Date : 2023-01-01 DOI:10.1504/ijbpscm.2023.130457

Noorul Shaiful Fitri Abdul Rahman, Abdelsalam Adam Hamid, Nur Hazwani Karim, Mohammad Khairuddin Othman, Abdelghani Benayoune, Muhammad Subhan Ishak

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引用次数: 1

Abstract

The COVID-19 pandemic, the implementation of the industrial revolution 4.0, the recent fuel price crisis, and the vision of the Sultanate of Oman logistics strategy 2040 are forcing the Omani logistics sector to determine its capability in handling these four issues simultaneously. This study proposes a decision-making model for small and medium logistics enterprises in Oman for analysing numerous potential business strategies by considering the uncertainty of contemporary factors. A hybrid of multiple-criteria decision-making methods, namely, the analytic hierarchy process, fuzzy link-based approach and evidential reasoning approach, were used in this study. It was found that the 'centralised business activities' business strategy is preferable and more essential to be implemented immediately, mainly due to the geographical market positioning reason. This novel study contributes to developing the decision model for the Logistics Enterprises in Oman as a new measurement when dealing with the uncertainty of external factors of the business environment.

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基于不确定性因素的阿曼物流企业VUCA混合理论与决策研究

2019冠状病毒病大流行、工业革命4.0的实施、最近的燃料价格危机以及阿曼苏丹国2040年物流战略的愿景，迫使阿曼物流业确定自己同时处理这四个问题的能力。本研究提出了一个决策模型，为中小型物流企业在阿曼分析众多潜在的商业战略，通过考虑当代因素的不确定性。本研究采用了多准则决策方法，即层次分析法、模糊链接法和证据推理法。研究发现，“集中经营活动”的经营战略更可取，更需要立即实施，这主要是由于地理市场定位的原因。这一新颖的研究有助于发展阿曼物流企业的决策模型，作为处理商业环境外部因素不确定性时的一种新的测量方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Business Performance and Supply Chain Modelling Business, Management and Accounting-Business and International Management

CiteScore

2.00

自引率

0.00%

发文量

期刊介绍： 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.