Analyzing the interaction of critical factors of supplier development using Interpretive Structural Modeling—an empirical study

2008 ◽  
Vol 43 (11-12) ◽  
pp. 1081-1093 ◽  
Author(s):  
S. Chidambaranathan ◽  
C. Muralidharan ◽  
S. G. Deshmukh
2021 ◽  
Vol 29 (1) ◽  
pp. 88-111
Author(s):  
Zericho Marak ◽  
◽  
Deepa Pillai ◽  

Purpose: The present study aims to identify the critical factors of supply chain finance and the interrelationship between the factors using interpretive structural modeling. Methodology: Factors of supply chain finance were identified from the literature and experts from both industry and academia were consulted to assess the contextual relationships between the factors. Then, we applied interpretive structural modeling to examine the interrelationships between these factors and find out the critical factors. Findings: The model outcome indicates information sharing and workforce to be the most influential factors, followed by the automation of trade and financial attractiveness. Originality/value: Previous literature identified various factors that influence supply chain finance. However, studies showing interrelationships between these factors are lacking. This study is unique in the field as it applies total interpretive structural modeling for assessing the factors that affect supply chain finance. Our model will aid practitioners’ decision-making and the adoption of supply chain finance by providing a necessary framework.


2013 ◽  
Vol 40 ◽  
pp. 1-8 ◽  
Author(s):  
Qian Shi ◽  
Jian Zuo ◽  
Rui Huang ◽  
Jing Huang ◽  
Stephen Pullen

2021 ◽  
Vol 13 (13) ◽  
pp. 7245
Author(s):  
Beniamino Murgante ◽  
Mohammad Eskandari Sani ◽  
Sara Pishgahi ◽  
Moslem Zarghamfard ◽  
Fatemeh Kahaki

The Lut desert is one of the largest and most attractive deserts in Iran. The value of desert tourism remains unclear for Iran’s economy and has only recently been taken into consideration by the authorities, although its true national and international value remains unclear. This study was aimed at investigating the factors that influence tourism development in the Lut desert. Data collected through the purposive sampling method was analyzed using Interpretive Structural Modeling and the MICMAC Analysis. According to the results, cost-effective travel expenses, security, and safety provided in the desert, together with appropriate media advertising and illustration of the Lut desert (branding) are the leading factors that influence tourism in the Lut desert in Iran. This paper highlighted the importance of desert tourism, especially in this region.


2012 ◽  
Vol 140 (1) ◽  
pp. 204-211 ◽  
Author(s):  
Kannan Govindan ◽  
Murugesan Palaniappan ◽  
Qinghua Zhu ◽  
Devika Kannan

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