Gap Analysis Through a Hybrid Method: Critical Systems Heuristics and Best Worst Method

Ramezani, Mohammad; Azar, Adel; Khazaei, Moein

doi:10.1007/978-3-030-89795-6_19

Cited by 6 publications

(5 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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%

See 1 more Smart Citation

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

Taghipour,

Fooladvand,

Khazaei

et al. 2023

Sustainability

View full text Add to dashboard Cite

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.

show abstract

Section: Research Backgroundmentioning

confidence: 99%

“…A study, for the first time, introduced the BWM to evaluate and cluster suppliers, and according to this method, the suppliers were clustered and evaluated based on two capability and tendency criteria [31,32,34]. In this regard, a study was conducted by [35] on a supplier selection framework in the agricultural industry.…”

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

View full text Add to dashboard Cite

show abstract

“…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

View full text Add to dashboard Cite

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.

show abstract

“…Most simple analyses in this field cannot meet business needs, and therefore it is necessary to use newer and more sophisticated methods to extract knowledge [1,18]. A social network is defined as a social structure consisting of individuals or organizations connected [19,20] with one or several types of affiliations such as friendship, kinship, bargaining, information exchange, etc. [12].…”

Section: Introductionmentioning

confidence: 99%

Smart Transportation Behavior through the COVID-19 Pandemic: A Ride-Hailing System in Iran

et al. 2023

View full text Add to dashboard Cite

During the COVID-19 pandemic, significant changes occurred in customer behavior, especially in traffic and urban transmission systems. In this context, there is a need for more scientific research and managerial approaches to develop behavior-based smart transportation solutions to deal with recent changes in customers, drivers, and traffic behaviors, including the volume of traffic and traffic routes. This research has tried to find a comprehensive view of novel travel behavior in different routes using a new social network analysis method. Our research is rooted in graph theory/network analysis and application of centrality concepts in social network analysis, particularly in the ride-hailing transportation systems under monumental competition. In this study, a big city, with near to ten million habitants (Tehran), is considered. All city areas were studied and clustered based on the primary measures of centrality, including degree centrality, Katz centrality, special vector centrality, page rank centrality, proximity centrality, and intermediate centrality. Our data were the trips of this system in Tehran, where the nodes in this network represent Tehran’s districts, and the connection between the two districts indicates the trips made between those two districts. Also, each link’s weight is the number of trips between the two nodes (district). The districts of Tehran were ranked in the smart transportation network based on six criteria: degree centrality, degree centrality of input, degree centrality of output, special vector centrality, hub, and reference points. Finally, according to comprehensive data-driven analysis, the studied company was suggested to create shared value and sustainability through the platform to perform a legitimate system to meet the new challenges. Our proposed system can help managers and governments to develop a behavior-based smart transportation system for big cities.

show abstract

Gap Analysis Through a Hybrid Method: Critical Systems Heuristics and Best Worst Method

Cited by 6 publications

References 27 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

Smart Transportation Behavior through the COVID-19 Pandemic: A Ride-Hailing System in Iran

Contact Info

Product

Resources

About