scholarly journals Big Data & Analytics as a sustainable Customer Loyalty Instrument in Banking and Finance

2019 ◽  
Vol 3 (4) ◽  
pp. 74-88 ◽  
Author(s):  
C. Giebe ◽  
L. Hammerström ◽  
D. Zwerenz
Keyword(s):  
Big Data ◽  
Customer Loyalty ◽  
Banking Sector ◽  
Big Data Analytics ◽  
Strong Relationship ◽  
Business Coaching ◽  
Banking Services ◽  
Banking And Finance ◽  
Customer Information ◽  
Corporate Social

The performance of the banking sector depends on the ability of a range of banking products to meet customer needs in a timely and complete manner. Due to the specific features of the banking sector, technological capabilities to accumulate a massive pool of customer information about banking services, the German banking sector has more capacity than other industries to launch and sell banking services that will be in high demand among users. The author points out that innovative methods and solutions were developed on the basis of mathematical and statistical models. It is stated that a progressive tool for providing customer-oriented services and products, in the banking sector, is currently defined as “Big Data & Analytics”. The main purpose of the study is to identify the peculiarities of the use in the banking practice of the analytical tool “Big Data & Analytics” and the functional ability of this tool to ensure stable customer loyalty in the course of using banking services. The study empirically confirmed (based on a survey conducted in the fall of 2019) and theoretically proved that there is a strong relationship between the use of the Big Data & Analytics tool and the provision of key principles of customer loyalty in the following areas of the banking sector: advice to clients by banking employees systems must be objective and comprehensive, be individualized and be provided in a timely and comprehensive manner. Emphasis is placed on the need for further research on the effectiveness of internal and external business coaching, which is particularly relevant in the context of a total digital transformation of all spheres of society and entrepreneurship. Keywords: big data and analytics, corporate social responsibility, customer loyalty tool, business ethics.

Challenges and Issues in E-Banking Services and Operations in Developing Countries

2016 ◽  
pp. 237-281
Author(s):  
Preeti Rana ◽  
Durgesh Pandey
Keyword(s):  
Developing Countries ◽  
Banking Sector ◽  
New Technologies ◽  
New Technology ◽  
Banking Services ◽  
Banking And Finance ◽  
Banking Service ◽  
Wide Range ◽  
The World ◽  
Recent Developments

In recent years we have seen a number of changes in banking sector of India. Main objective of banks is to create more value for customers; that is why most of the banks have begun to take an innovative approach for this purpose. In the world of banking and finance, nothing stands still. Now a day's banking activities is not limited to deposit and lending money to customers Apart from traditional business, banks provide a wide range of services to satisfy the needs of all types of customers whether it is financial or non-financial needs from the smallest account holder to the largest company and in some cases of non-customers. As a result of recent developments, the entire banking industry has restructured and new technologies are also introduced to make it competitive. Revolution of Information Technology has made it possible to provide ease and flexibility in operations to customers thus making life simpler and easier so bank can provide a variety of products and services to the customers. The E-Banking process has changed the way of working of banks across the world. In the chapter, the author reviews the literature on “The issues and challenges of e-banking service operation” what is the perception of people towards E-Banking in different developing countries?” As E-Banking is an emerging concept in the field of commerce and banking. This paper furnishes the study of E-banking in developing countries through an analysis of content & existing literature that focused on developing countries. The main purpose of the study is to present the current level of research on E-banking in developing countries. Electronic banking (e-banking) is the new technology in banking environment that allows the bank customers to do banking activities at any time and from any place.

Big data and Internet of Things (IoT) technologies in Omani banks: a case study

foresight ◽  
2017 ◽  
Vol 19 (4) ◽  
pp. 409-420 ◽  
Author(s):  
Stuti Saxena ◽  
Tariq Ali Said Mansour Al-Tamimi
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Banking Sector ◽  
Big Data Analytics ◽  
It Infrastructure ◽  
Major Step ◽  
Content Type ◽  
External Data ◽  
Security Infrastructure

Purpose The purpose of this paper is to underline the significance of invoking Big Data and Internet of Things (IoT) technologies in Omani Banks. Opportunities and challenges are also being discussed in the case study. Design/methodology/approach Four Omani banks representative of local, international, Islamic and specialized banks are being studied in terms of their social networking presence on Facebook and their e-banking facilities. Also, impetus is laid upon the aggregation of internal data and vast amounts of semi-structured external data from public sources, including social media. Findings The case study shows that Big Data analytics and IoT technologies may be utilized by the Omani banks for facilitating them in “forecasting” and “nowcasting”. Besides, customers may be better managed with better and efficient services. However, there are challenges in tapping these technologies such as security, infrastructure, regulatory norms, etc. Practical implications Banks in Oman need to appreciate the utility of Big Data and IoT technologies, and for this, a robust IT infrastructure should be institutionalized. Originality/value The case study is a major step in integrating Big Data and IoT technologies in Omani banks across four variants of national, international, Islamic and specialized banks. This is the first study where such integration has been emphasized in the Omani banking sector.

scholarly journals Impact of Big Data Analytics on Banking Sector: Learning for Indian Banks

2015 ◽  
Vol 50 ◽  
pp. 643-652 ◽  
Author(s):  
Utkarsh Srivastava ◽  
Santosh Gopalkrishnan
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Banking Sector ◽  
Big Data Analytics ◽  
Indian Banks

Effect of big data analytics on improvement of corporate social/green performance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bibhu Prasad Mishra ◽  
Bibhuti Bhusan Biswal ◽  
Ajay Kumar Behera ◽  
Harish Chandra Das
Keyword(s):  
Big Data ◽  
Corporate Culture ◽  
Data Analytics ◽  
Corporate Social Performance ◽  
Big Data Analytics ◽  
Equation Modeling ◽  
Content Type ◽  
Green Performance ◽  
Corporate Social ◽  
Control Direction

Purpose In spite of the fact that literature shows that big data analytics (BDA) pass on a distinct corporate ability, little is thought about their performance impacts, specifically logical conditions. Establishing this research in the dynamic capability view (DCV) and corporate culture and dependent on an sample of 310 Indian production industries, the purpose of this paper is to experimentally study the impacts of BDA on corporate social performance (CSP) and corporate green performance (CGP) using variance-based structural equation modeling (for example, PLS). Design/methodology/approach A questionnaire was used to accumulate data sets to examine research hypothesis. The authors pre-examined the survey with six scholastics and six directors from production firms in India. With the help of their sources of data, the authors have adjusted their wordings to improve the transparency and guarantee that length of the survey is accurate. Finally, the questionnaire was prepared for definite data collection. Findings The authors conclude that BDA has noteworthy effect on CSP/CGP. Notwithstanding, the authors did not find proof for directing role of flexible direction and control direction in the connections among BDA and CSP/CGP. This research offers a more nuanced comprehension of the performance ramifications of BDA, and in this way, it is tending to the critical inquiries of how and when BDA can improve in supply chains. Originality/value This investigation makes helpful commitments to the BDA research and its effect on CSP/CGP. To the authors’ best of information, this is the first hypothesis-focused approach to clarify the effect of BDA on ecological and social supportability. Second, this investigation likewise gives empirical proof that BDA impact on CSP/CGP and is free of flexible or control direction of the industry.

scholarly journals Big Data Analytics on Banking Sector

2020 ◽  
Vol 05 (05) ◽  
pp. 113-116
Author(s):  
Yuvraj Chhikara ◽  
Chetan Agarwal ◽  
Sandeep Esap ◽  
Dr. H.S Guruprasad
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Banking Sector ◽  
Big Data Analytics

scholarly journals Service Quality, Customer Satisfaction and Loyalty: An Empirical Analysis of Banking Sector in Pakistan

2012 ◽  
Vol 4 (4) ◽  
pp. 159-167 ◽  
Author(s):  
Mohsin Zafar ◽  
Aasia Asif . ◽  
Ahmed Imran Hunjra . ◽  
H. Mushtaq Ahmad .
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Customer Loyalty ◽  
Banking Sector ◽  
Banking Services ◽  
Banking Relationships ◽  
Conflict Handling ◽  
The Impact ◽  
Customer Satisfaction And Loyalty

The basic aim of this study is to explore most common constructs for quality of banking services, which influence customer satisfaction and examine the impact of customer satisfaction on customer loyalty in the context of banking relationships. The questionnaire was used to collect the data from 192 valid respondents by convenience sampling method. SPSS was used to analyze the data and AMOS was used to test the model. The results of the study show that there is a positive and significant link between customer satisfaction and constructs of service quality like tangibility, reliability, competence conflict handling and further study inferred that customer satisfaction is positively significant related to customer loyalty.

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