2017
DOI: 10.1016/j.jretconser.2017.07.007
|View full text |Cite
|
Sign up to set email alerts
|

Measuring and improving customer retention at authorised automobile workshops after free services

Abstract: Extensive Literature Review Factor Identification Industry and Field Experts' Judgments Phase-3 Phase-2 Gather Experts' Data on the Basis of 1-4 Scale Calculate the Normalized Initial Relation Matrix (D) Feasibility of DEMATEL, then Calculate Total Relationship Matrix Calculate Sums of Rows/Columns of matrix Set the Threshold Value Construct Network Relationship Map (INRM) Phase-1 Gather Experts' Data on the Basis of 1-9 Scale (pairwise comparison) Calculate the Geometric Mean Matrix Synthesize the Matrix, the… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
24
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 44 publications
(31 citation statements)
references
References 71 publications
0
24
0
Order By: Relevance
“…Multi Criteria Decision Making (MCDM) methods have the inherent capability and potential to support the subjective evaluation of performance criteria and to make the best decisions even from the most conflicting criteria (Gudienė et al 2014;Mortazavi Ravari et al 2016;Kumar et al 2017;Keshavarz Ghorabaee et al 2018). In the real estate business, MCDM methods are employed in a variety of areas including risk investment (Bispinck 2012;Baležentis et al 2012;Padhi et al 2015;Faraji Sabokbar et al 2016), real estate brokerage service evaluation (Ferreira et al 2017), housing attributes (Thériault et al 2003;Pourahmad et al 2015), quality of life (Sabokbar et al 2016;Kaklauskas et al 2018), security, investor behaviour analysis (Bispinck 2012) and location (Haddad et al 2011).…”
Section: Applications Of Multi Criteria Decision Making Methods In Thmentioning
confidence: 99%
See 1 more Smart Citation
“…Multi Criteria Decision Making (MCDM) methods have the inherent capability and potential to support the subjective evaluation of performance criteria and to make the best decisions even from the most conflicting criteria (Gudienė et al 2014;Mortazavi Ravari et al 2016;Kumar et al 2017;Keshavarz Ghorabaee et al 2018). In the real estate business, MCDM methods are employed in a variety of areas including risk investment (Bispinck 2012;Baležentis et al 2012;Padhi et al 2015;Faraji Sabokbar et al 2016), real estate brokerage service evaluation (Ferreira et al 2017), housing attributes (Thériault et al 2003;Pourahmad et al 2015), quality of life (Sabokbar et al 2016;Kaklauskas et al 2018), security, investor behaviour analysis (Bispinck 2012) and location (Haddad et al 2011).…”
Section: Applications Of Multi Criteria Decision Making Methods In Thmentioning
confidence: 99%
“…Due to the convenience of graphs for computation and optimization, the growth of graph theory in literature has been enormous (Wu 2012). This approach helps us to visualise the complex relationships among the criteria easily (Wu 2012;Kumar et al 2017). The DEMATEL method is based on digraphs.…”
Section: Dematel Methodsmentioning
confidence: 99%
“…It is a non-parametric gauge of rank correlation, which defines the connection among the ranks of two factors compared to the companies in question in this research. The Spearman correlation among two values varies (r s is high if observations have the same ranks among the two data sets, and low if observations have different ranks) according to the ranks of the data sets (Kumar et al, 2017). Spearman's rank correlation is extensively used by investigators in diverse domains, such as health survey for England, customer retention in automobile workshops, ecological execution analysis of Chinese industry, etc.…”
Section: Spearman's Rank Correlationmentioning
confidence: 99%
“…Spearman's rank correlation is extensively used by investigators in diverse domains, such as health survey for England, customer retention in automobile workshops, ecological execution analysis of Chinese industry, etc. (Martin and Springate, 2018;Kumar et al, 2017;Bi et al, 2015). The Spearman's rank correlation coefficient is symbolized by 'r s ' and is given by Eq.…”
Section: Spearman's Rank Correlationmentioning
confidence: 99%
“…The matrix set to the link between goal and factors, analyzing the priority and consistency criteria of each factor. Parameter weight is determined through Analytic Hierarchy Process (AHP) (Saaty, 2008) but AHP cannot find contextual relationships in parameters (Kumar et al, 2017). The first step is building a matrix which depicts affiliation goal and factors based on the actors of the online company, balerinabeautyshop.…”
Section: Analyzing Elements Criteria Factors Actors Goals and Altmentioning
confidence: 99%