2018
DOI: 10.1108/jm2-01-2018-0006
|View full text |Cite
|
Sign up to set email alerts
|

Modelling the barriers to online banking in the Indian scenario: an ISM approach

Abstract: Purpose Online banking, a phenomenon widely adopted and appreciated in developing and developed countries, is becoming an essential part of the lives of people from all walks of life, but there exist a good fraction of customers resisting these services. Therefore, the purpose of this paper is to identify the barriers generating resistance to online banking. The special focus of the paper is to explore resistance among bank customers who already have valid contracts for online banking but still prefer to appro… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
12
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 20 publications
(14 citation statements)
references
References 41 publications
(51 reference statements)
1
12
0
Order By: Relevance
“…Jharkaria and Shankar (2005) applied ISM to understand the various barriers in IT-enablement of supply chain and their mutual interrelation. Katiyar and Badola (2018) applied ISM to investigate the interrelationships among the barriers to online banking. Formulating hierarchical relationship through ISM involves following steps: Step 1— This step involves identifying and describing the factors that either push tourism industry towards digitalization or get impacted by digitalization in the tourism industry. Step 2— It involves development of self-structural interaction matrix (SSIM).…”
Section: Framework For Digitalization In Tourism Industry Through Intmentioning
confidence: 99%
See 1 more Smart Citation
“…Jharkaria and Shankar (2005) applied ISM to understand the various barriers in IT-enablement of supply chain and their mutual interrelation. Katiyar and Badola (2018) applied ISM to investigate the interrelationships among the barriers to online banking. Formulating hierarchical relationship through ISM involves following steps: Step 1— This step involves identifying and describing the factors that either push tourism industry towards digitalization or get impacted by digitalization in the tourism industry. Step 2— It involves development of self-structural interaction matrix (SSIM).…”
Section: Framework For Digitalization In Tourism Industry Through Intmentioning
confidence: 99%
“…Jharkaria and Shankar (2005) applied ISM to understand the various barriers in IT-enablement of supply chain and their mutual interrelation. Katiyar and Badola (2018) applied ISM to investigate the interrelationships among the barriers to online banking. Formulating hierarchical relationship through ISM involves following steps:…”
Section: Framework For Digitalization In Tourism Industry Through Intmentioning
confidence: 99%
“…ISM was initially used in the field of supply chain and operations management, where the researchers used it to identify and model the interrelations between the enablers in different types of supply chains or modelled risks in global supply chains (Mandal and Deshmukh, 1994; Ravi et al , 2005; Nishant Faisal et al , 2006; Gorane and Ravikanth, 2013). Over the past few years, its applications have extended to encompass other functional areas, including healthcare (Kumar and Sharma, 2018; Patri and Suresh, 2018), food (Sagheer et al , 2009), banking (Chatterjee and Dhaigude, 2018; Katiyar and Badola, 2018) and the hotel industry (Sarmah and Rahman, 2018), to name a few. Mahajan et al (2014) demonstrate the technique to evaluate the factors affecting quality of management education in India.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Many authors have used this method as per the requirement. Katiyar and Badola (2018) used ISM application to discuss the barriers of online banking services and established the interaction among them barriers. Tripathi and Singh (2018) discussed the barriers to women entrepreneur using the ISM approach.…”
Section: Application Of Ismmentioning
confidence: 99%
“…The MICMAC analysis is a cross-impact matrix multiplication applied to classification. The prime objective is to analyze the driving power and dependence power of the enablers (Katiyar and Badola, 2018;Mathiyazhagan et al, 2013;Tripathi and Singh, 2018). There are different criteria, which have to be classified into four quadrants, namely, autonomous, dependent, linkage/moderator and independent/driver based on their driving power and dependence (Thakkar et al, 2008).…”
Section: Micmac Analysismentioning
confidence: 99%