Creating shared value to redesigning IT-service products using SYRCS; Diagnosing and tackling complex problems

Khazaei, Moein; Ramezani, Mohammad; Padash, Amin; DeTombe, Dorien

doi:10.1007/s10257-021-00525-4

Cited by 8 publications

(3 citation statements)

References 66 publications

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“…It is critical to select a supplier to make strategic cooperative relationships, because doing so develops the supply chain and increases the efficiency and effectiveness of organizations [7,28]. Strategically selecting a supplier is an MCDM problem that must be able to make value for both parties [21,29,30]. Therefore, a more efficient approach is necessary for supplier management and one of the most effective ways to solve this problem was through dividing suppliers [9,31,32].…”

Section: Research Backgroundmentioning

confidence: 99%

Criteria Clustering and Supplier Segmentation Based on Sustainable Shared Value Using BWM and PROMETHEE

Taghipour,

Fooladvand,

Khazaei

et al. 2023

Sustainability

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With the advent of healthy visions, two of the trends that have become extremely important in the supply chain in recent decades are corporate social responsibility (CSR) and sustainability, which have affected the activities of buyers and suppliers. The next trend that is emerging is the vision of creating shared value (CSV), which wants to move the supply chain toward solving social problems in a completely strategic way. This research intends to develop a step-by-step framework for evaluating and segmenting suppliers based on CSV criteria in the supply chain. In the first stage, the criteria for creating sustainable shared value (CSSV) are obtained through existing activities in the field of CSR. The obtained criteria are then divided into two categories, strategic and critical, and then the weight of each criterion is obtained using the best–worst method (BWM). In the next step, based on the Kraljic model, the suppliers are divided into four clusters using the preference ranking organization method for enrichment evaluation (PROMETHEE) technique. This framework helps the buyer to conclude and select purchasing decisions and relationships with suppliers through the lenses of CSV and sustainability.

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Section: Research Backgroundmentioning

confidence: 99%

Criteria Clustering and Supplier Segmentation Based on Sustainable Shared Value Using BWM and PROMETHEE

Taghipour,

Fooladvand,

Khazaei

et al. 2023

Sustainability

Self Cite

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“…This word is placed in front of the word legal entity which may be a legal entity of public law such as the government or a legal entity of private law such as a commercial company with a non-commercial entity. In general, banks and financial institutions have two tasks: first, they provide means of payment between individuals and the economy [17], and enable the transfer of funds from the lender to the borrower, that is, households, institutions, and the government [29]. The second task is financial intermediation, which helps to bridge the gap between lenders and borrowers by creating a financial market.…”

Section: Theoretical Foundations and Research Backgroundmentioning

confidence: 99%

Evaluating the performance of machine learning algorithms in predicting the best bank customers

Mohammad,

Fatemeh,

Amir

et al. 2023

AUCMCS

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The best customer refers to the potential interaction of customers with the company during certain time periods. When companies understand the best customer and realize that the best customer can provide customized services for different customers, then they will achieve effective customer relationship management. This research is focused on the banking industry and systematically integrates data mining techniques and management topics to analyze the best customers. This study first uses the fuzzy hierarchical analysis method to weight the existing variables and then examines the DFMT model as an input to the k-means technique for clustering customers based on the desired criteria in the DFMT model. By using the proposed scoring model, it starts forming a customer value pyramid and categorizes customers into 4 value spectrums. Finally, in order to analyze the classes obtained from the customer value pyramid and implement the learning process from the available data, it uses the tenor classification techniques of decision tree, support vector machines and random forest along with the six characteristics and among They introduce the most appropriate model-characteristic based on available criteria.

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“…More attention has been paid to cost issues and product quality [16]. If organizations concentrate on supplier selection and purchasing strategies based on cost minimization [17], they will lose long-standing opportunities [18] for effective communication with society, and they may lose their competitive advantages [9,19]. In general, it can be said that adopting purchasing strategies that pursue other aims along with cost reductions can have an active role in long-term [20] and multi-aspect communication with suppliers [21] and especially provide a new opportunity to address social issues to create novel competitive advantages [19,22].…”

Section: Introductionmentioning

confidence: 99%

Creating Shared Value and Strategic Corporate Social Responsibility through Outsourcing within Supply Chain Management

et al. 2022

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One way to develop local clusters is to strengthen those clusters by using outsourcing to conduct strategic social responsibility, or in other words, to create shared value, which is a win-win strategy for the buyer, supplier, and society and the best and most viable alternative to traditional corporate social responsibilities. In the leading research, a model for decision-making within the supply chain has been developed for purchasing based on shared value creation, long-term relationship management, and purchasing strategies. The research consists of two strategic mathematical models, using goal programming, and then is solved by a meta-heuristic algorithm. Potential outsourcing companies are assessed and then clustered according to their geographic locations in the decision-making process. One (or several) cluster(s) was selected among clusters based on knowledge and relationship criteria. Besides, in the primary mathematical model, the orders in different periods and the selection of suppliers are determined. In this model, in addition to optimizing the cost, the dispersion of purchases from suppliers is maximized to increase relationships and strengthen all members of the cluster. Maximizing the distribution by converting a secondary objective function to goal-programming variables transforms the multi-objective model into a single-objective model. In addition to economic benefits for buyers and suppliers, this purchasing plan concentrates on strengthening the local industrial cluster, fostering employment and ease of recruitment for human resources, accessing more infrastructures and technical support facilities, developing an education system in the region, and assisting knowledge-based enterprises with development.

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Creating shared value to redesigning IT-service products using SYRCS; Diagnosing and tackling complex problems

Cited by 8 publications

References 66 publications

Criteria Clustering and Supplier Segmentation Based on Sustainable Shared Value Using BWM and PROMETHEE

Criteria Clustering and Supplier Segmentation Based on Sustainable Shared Value Using BWM and PROMETHEE

Evaluating the performance of machine learning algorithms in predicting the best bank customers

Creating Shared Value and Strategic Corporate Social Responsibility through Outsourcing within Supply Chain Management

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