Big Data in the Banking Sector from a Transactional Cost Theory (TCT) Perspective—The Case of Top Lebanese Banks

Charbel Chedrawi (), Yara Atallah and Souheir Osta
Additional contact information
Charbel Chedrawi: Saint Joseph University
Yara Atallah: Saint Joseph University
Souheir Osta: Saint Joseph University

A chapter in ICT for an Inclusive World, 2020, pp 391-405 from Springer

Abstract: Abstract The Voluminous data are being exchanged during banking transactions internally and externally. In the current information era, big data can help firms reveal hidden information and achieve competitive advantages, translating into higher productivity, lower operating costs, and a greater supply curve shift. In fact, the integration of big data analytics in the banking operations in England and Singapore enhanced customer services’ efficiency, reduced transaction costs, increased number of users, and boosted demand. This article discusses challenges and role of Big Data in the banking sector through the transaction cost theory approach of Williamson [1]. Following a qualitative approach, this paper reveals the actions currently undertaken by the two leading banks in the Lebanese market in order to optimize big data integration in their internal and external transactions.

Keywords: Big data; Transactions cost theory; Banking sector; Lebanon (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-34269-2_27

Ordering information: This item can be ordered from
http://www.springer.com/9783030342692

DOI: 10.1007/978-3-030-34269-2_27

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().