Modeling Strategic Partnerships Using the E3value Ontology

Author(s):  
Carol Kort ◽  
Jaap Gordijn

The banking industry is subject to a wave of consolidation taking the form of mergers but also the formation of strategic partnerships. In this chapter, we present how such a partnership can be assessed using the e3value ontology. This ontology allows us to model networks of enterprises and partnerships, exchanging things of economic with each other. To adequately model strategic partnerships, the e3value ontology has been extended to represent investment arrangements and outsourcing constructs. All this is explained using an industry-strength case banking study.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Haitham Mohamed Elsaid

Purpose This paper aims to provide a review of literature directions regarding the potential impact of fintech operators on the financial services market globally. This paper reviews the literature to identify possible benefits or challenges that fintech firms can have for the traditional banking system. Design/methodology/approach This paper is based on a review of published research papers related to fintech and digital finance. The Scopus database, SSRN database and google scholar were used to find relevant research papers. The final sample included impactful papers about the effect of fintech activities on the banking and financial services industry. Findings The current paper indicated that while fintech firms would take some market share away from banks, it is not expected that fintech firms would substitute banks. However, banks are required to accelerate their adoption of innovations and advanced technology to compete with fintech firms. It is also proposed that strategic partnerships and cooperation could happen between banks and fintech companies in a way that benefits both sides. Originality/value The present paper adds to the understanding of the effect of the fintech firms’ growth on the banking industry in light of the emerging opportunities and threats for the financial sector. The paper also provides guidance for fruitful research on the impact of fintech activities on social and economic welfare in the future.


2017 ◽  
Author(s):  
Maria Michailidis ◽  
Evie Michailidis

Liquidity ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 32-41
Author(s):  
Amrizal Amrizal

Banking industry is very tight competition in all aspects. Results review from some literatures: journals and empirical data indicates that the banking industry has been applied information technology in order to provide excellent service to customers in the form of electronic transactions such as ATM, sms banking, e-commerce and so forth. Based on Bank Indonesia reports, the type of electronic transaction has been growing very rapidly between the transaction and Bilyetgiro Elekteronik Checks, ATM, Credit Card, Account Card Based (ATM and Debit Cards), Electronic Money, Delivery Chanel and RTGS. Those above transactions are relating to the Technology Information System and Integrated System. Integrated system is the combination of Hardskill which focus on knowledge and more to the integrity softskill (shidiq, trustworthy, tablig, fathonah). Islamic banks are ready to face competition both nationally and internationally, primarily face competition from the aspect of Integrated Systems. Bank Syariah Mandiri (BSM) developed e-banking features on an ongoing basis, among others


2018 ◽  
Vol 6 (1) ◽  
pp. 133-153
Author(s):  
Toufan Aldian Syah

Banking industry has a very important role in economic development in a country. Indonesia, which is the largest Muslim country in the world, certainly has the prospect of the development of Sharia Banking Industry is very good in the future. However, the development of Sharia Bank has been slowing down in recent years and the profitability of sharia comercial banking is still below the ideal value. This study aims to determine the internal factors and external factors that affect the profitability of Sharia Bank in the year of January 2012 until August 2017. The variables used in this study are ROA, Inflation, NPF, and BOPO. The data used is aggregate data of all Sharia Commercial Banks recorded at Bank Indonesia. Measurement of Statistic Description, F-Test, T-Test, Correlation Coefficient, Coefficient of Determination and Multiple Linear Regression using IBM SPSS 21 software. The results showed that significant negative effect of BI rate, NPF and BOPO was found, while Inflation variable showed negative but not significant. Overall, the above variables affect the ROA of 87.7%, while 12.3% is likely to be influenced by other factors.


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