Leicester Castle Business School

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Browsing Leicester Castle Business School by Author "Abbasi Kamardi, A.A."

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    Analyzing Voice of Customers by a Hybrid Fuzzy Decision Making Approach In a Developing Country Automotive Market
    (Emerald, 2020-08-31) Amoozad Mahdiraji, Hannan; Hafeez, K.; Kord, H.R.; Abbasi Kamardi, A.A.
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    Marketing Strategies Evaluation based on Big Data Analysis: A Clustering-MCDM Approach
    (Taylor and Francis, 2019-09-03) Amoozad Mahdiraji, Hannan; Kazeminia, A.A.; Zavadskas, E.K.; Abbasi Kamardi, A.A.
    Nowadays, a huge amount of data is generated due to rapid Information and Communication Technology development. In this paper, a digital banking strategy has been suggested applying these big data for Iranian banking industry. This strategy would guide Iranian banks to analyse and distinguish customers’ needs to offer services proportionate to their manner. In this research, the balances of more than 2,600,000 accounts over 400 weeks are computed in a bank. These accounts are clustered based on justified RFM parameters containing maximum balances, the most number of maximum balances and the last week number with the maximum balance using k-means method. Subsequently, the clusters are prioritised employing Best Worst Method- COmplex PRoportional ASsessment methods considering the diverse inner value of each cluster. The accounts are classified into six clusters. The experts named the clusters as special, loyal, silver- high interaction, silverlow interaction, bronze, averted- low interaction. silver-low interaction cluster and loyal cluster are picked in order by experts and BWM-COPRAS as the most influential clusters and the digital banking strategy is developed for them. RFM parameters are modelled for customers’ accounts singly. The aggregation of the separate accounts of a customer should be considered.
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    Optimal strategic alliance in multi‐echelon supply chains with open innovation
    (Wiley, 2020-06-04) Tavana, Madjid; Amoozad Mahdiraji, Hannan; Beheshti, Moein; Abbasi Kamardi, A.A.
    We propose a game‐theoretic approach to examine several possible coalition strategies in a four‐echelon supply chain consisting of a supplier, manufacturer, wholesaler, and retailer. A solitude model is used to probe the role of learning in quality improvements, and experimental design is conducted to evaluate all possible supply chain coalition strategies between echelons. The novelty of this study is the comprehensive evaluation of knowledge‐sharing strategies in collaborative supply chains. The results confirm that the Delta model with a coalition among a supplier, manufacturer, and retailer is the best strategy.
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    A product-technology portfolio alignment approach for food industry: a multi-criteria decision making with z-numbers
    (Emerald, 2020-06-03) Mokhtarzadeh, Nima; Amoozad Mahdiraji, Hannan; Soltani, A.,; Abbasi Kamardi, A.A.; Jafari-Sadeghi, V.
    Purpose: To design a novel hybrid approach to illustrate a reciprocal alignment to integrate future products and technologies. This mixed qualitative-quantitative method aims to optimize the final product portfolio and production technologies alignment in the food industry. Design/methodology/approach: A list of products and technologies is extracted and evaluated by experts employing Market Attractiveness and Ease of Implementations Matrix (MA-EI) for products and attractiveness and technological Capability Matrix (A-C) for technologies. Weights of high-scored alternatives are attained applying the Z-number extension of Best Worst Method (ZBWM). After the product-technology matrix is formed and the alignment scores of each pair are determined by experts. Subsequently, final scores are computed, and a framework is proposed by electing high-ranked products and technology of each cluster to form the aligned product and technology portfolios of a food and hygiene industry company. Findings: By employing an uncertain multicriteria decision-making approach besides product and technology matrices in a food industry corporation, among 40 technology and product, 13 products by 6 technologies are proposed. Thus, only six technology are necessary to manufacture the highly important and effective products. Originality/value: The combination of product and technology analysis matrixes with an uncertain decision-making approach is considered as a novel approach in this research. Moreover, the distinctness between the present study and other researches is the concurrent unified aspect of product portfolio and technology optimization and its implementation in the planning discussion, especially in the food industry.