P: ISSN No. 0976-8602 RNI No.  UPENG/2012/42622 VOL.- XIII , ISSUE- IV October  - 2024
E: ISSN No. 2349-9443 Asian Resonance

An Exploratory Approach To Contextualizing The Influence Of Blockchain Technology On The Corporate Governance Practices Of The Indian Commercial Banks

Paper Id :  19438   Submission Date :  2024-10-12   Acceptance Date :  2024-10-24   Publication Date :  2024-10-25
This is an open-access research paper/article distributed under the terms of the Creative Commons Attribution 4.0 International, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
For verification of this paper, please visit on http://www.socialresearchfoundation.com/resonance.php#8
Shraddha Thakur
Research Scholar
Commerce
University Of Lucknow
Lucknow,Uttar Pradesh, India
Arvind Kumar
Senior Professor
Commerce
University Of Lucknow
Lucknow, Uttar Pradesh, India
Abstract

The study explores the transformative impact of blockchain technology on corporate governance practices in Indian commercial banks. With the rapid evolution of financial systems, blockchain emerges as a pivotal tool for enhancing transparency, security, and accountability. By leveraging decentralized ledgers and real-time data sharing, blockchain can mitigate risks, improve decision-making, and streamline governance frameworks. The study adopts an exploratory approach to examine how blockchain adoption reshapes traditional governance structures, addressing challenges such as fraud, data manipulation, and inefficient processes. Findings highlight blockchain’s potential to enhance stakeholder trust, regulatory compliance, and operational efficiency. The study recommends a strategic roadmap for Indian banks to integrate blockchain, fostering robust governance and sustainable financial performance.

Keywords Block Chain Technology, Banking Industry, Corporate Governance, Financial Performance, Digital Transformation.
Introduction

Our society has recently witnessed the emergence of an innovative wave of disruptive technologies spread across several industries branded as "Industry 4.0" (Hou et al., 2020; Chang et al., 2019). The notion of Industry 4.0 was first constrained to the manufacturing industry (Skilton and Hovsepian, 2017). Many production units have boosted their capacity and performance by implementing Industry 4.0 disruptive technologies (Büchi et al., 2020; Szalavetz, 2019). In addition to manufacturing firms, several service-based companies ranging from telecommunications to banking are anticipating benefits from Industry 4.0 digital technology (Kohtamaki et al., 2020; Frank et al., 2019). In today's world, the service business is the most important. In current scenario, service industry accounted for the largest share in world’s GDP. These service sector companies are currently introducing or evaluating these technologies with the intent to improve their ability to conduct their business. The industry 4.0 revolution encompasses a wide range of technologies, including cloud computing, 3D printing, the Internet of Things (IoT), and Cyber Physical Systems (CPS), as well as Artificial Intelligence (AI) and blockchain (Chang et al., 2020c). The advantage of these disruptive technologies is their capacity to self-learn, be secure, and forecast in dynamic environments.

In financial industry, there is always a challenge while running the operation of business- security which can be solve with the deployment of Internet of Things (IOT) in their operation of business (Mani and Chouk, 2018). Furthermore, from that, CPS has enabled real-time service capabilities such as automated teller machines (ATM) and mobile financial services (Gai et al., 2017).  The Machine learning, one of the AI technologies, assists banks in serving clients promptly and compliance with laws.

Banks and financial institutions are seen as the lifeblood of contemporary society, serving as a catalyst for encouraging and sustaining economic growth in emerging nations such as India (Iqbal and Sami, 2017; Disyatat, 2004). The Indian banking system is dealing with concerns such as rising operational expenses, an increase in the number of fraudulent transactions, and issues with certifying transparency (Kumar and Prakash, 2018; Jayadev et al., 2017). To minimise fraud and finish transactions rapidly, the financial system must investigate resilient technology (Sunder et al., 2019; Repousis et al., 2019). Furthermore, the system must provide operational cost efficiency and transparency for its clients and regulators (Altankhuyag, 2019; Ray, 2016; Dong et al., 2014). To that purpose, the banking sector has implemented several platforms powered by technology to improve banking activity performance (Palmi'e et al., 2020). Blockchain offers the potential to eliminate middlemen, boosting transaction transparency and traceability by optimising, simplifying, and strengthening traditional banking business operations (Frizzo-Barker et al., 2019; Hassani et al., 2018; Hyvarinen et al., 2017).

For understanding the technological development in the Indian Banking Industry in the span of time has been provided Chart No.1 and it demonstrated that how Indian banking sector transform their business operations from banking operation to e-banking operations.

Chart No.1: Technological Development in Indian Banking Sector


Corporate governance is officially a collection of laws, regulations, and processes that govern, control, and regulate a company. According to Singh et al. (2020), blockchain technology may have an influence on the organization's corporate governance standards. Furthermore, it was discovered a favourable influence of blockchain on corporate governance and corporate performance of Iranian enterprises (Alahdal et al., 2020; Ronaghi, 2022). This shows that blockchain technology, through connection, crowdsourcing, and collaboration, may make it simpler to do away with agents who operate as intermediaries in corporate governance. In order to defend the interests of their stakeholders, a company must ensure that their data is secure and free from theft or the risk of being hacked; hence, cybersecurity assists a company in protecting its systems, programmes, networks, data, and transactions against any type of digital assault. As a result, in order to improve a firm's cybersecurity, it is critical for management to use a technology that boosts cybersecurity. Adopting blockchain into a company's corporate governance structure would not only increase the security of the company's data, but it will also ease transactions and straightened up their records because it has been proven to be efficient.

Blockchain technology introduces a novel approach for developing a governance model based on smart contracts and trust management. Smart contracts are computer protocols negotiated between buyers and sellers in lines of code and presented on a decentralised blockchain network. Blockchain eliminates fraudulent transactions while also ensuring the integrity of principal agent relationships (Kaal, 2020). The corporate governance goals might be a good guide for re-understanding financial legislation and changing public policies to conform with blockchain technology (Akgiray 2019).

Objective of study

The primary objective of the study to evaluate the effectiveness of corporate governance effectiveness with the application of blockchain technology in banking sector. In this broader framework, the following are the specific objectives of the study: 

  1. To explore the technological innovation in the banking sector.
  2. To study the relationship between fraud detection with the introduction of blockchain technology in the Indian banking sector.
  3. To identify the areas where there is scope for improvement and offer suggestions which are based on findings of the study.
Review of Literature

(2023) Hashem, R. E. E. D. R., Mubarak, A. R. I., & Abu-Musa, A. A. E. S. entitled “The impact of blockchain technology on audit process quality: An empirical study on the banking sector.” The study aims to evaluate the relationship between blockchain and audit process quality of Egyptian banking sector. The empirical study also found a strong correlation between blockchain technology and audit process quality of the banking sector. The findings highlight the necessity for the creation of new audit standards and a set of laws that are clear and consistent so that auditors can integrate technology and improve audit procedures.

(2023) Sachitra, V., & Dayaratna, D. entitled “Examine the Feasibility of Implementing Blockchain Technology in the Sri Lankan Banking System”. The study revealed that Blockchain technology is viable to use for shared KYC, trade finance, and Central Bank Digital Currency (CBDC). The most pressing issues in using Blockchain technology were interoperability issues, governmental restrictions, and ignorance. The existence of Fin Tech firms, the regulator's mindset, the collaboration of banks, consumers' attitudes, and the competence of the financial system also served as catalysts for such an adoption.

(2022) Eghe-Ikhurhe, G. O., & Bonsu-Assibey, M. O. entitled “The effects of blockchain technology on corporate governance: Evidence from emerging economy.” The findings of the study witnessed that blockchain technology has a favourable influence on corporate governance, implying the elimination of agents as middlemen in corporate governance via code and peer networking. The adoption of blockchain technology is seen to have the potency to strengthen regulatory processes, improve transparency, enable the identification and avoidance of data manipulation, and provides a stronger foundation for good corporate governance.

(2021) Khalil, M., Khawaja, K. F., & Sarfraz, M. entitled “The adoption of blockchain technology in the financial sector during the era of fourth industrial revolution: A moderated mediated model”. The findings show that digital business strategy is favourably associated to business process innovation and company financial performance. Blockchain adoption mediates the interaction between digital company strategy, business process innovation, and financial performance. Information technology alignment serves as a bridge between Blockchain adoption and process innovation.

(2021) Kabir, M. R., & Islam, M. A. The paper entitled “Behavioural intention to adopt blockchain technology in Bangladeshi banking companies” The study attempts to understand the variables influencing the banking industry's desire to adopt blockchain. The study find that two internal characteristics named perceived utility and ease of use are determined to be crucial in characterising the intention to embrace blockchain. However, two additional external factors, social influence and trust are examined. Trust is determined to be important, although social influence is not statistically significant.

(2020) Kulkarni, M., & Patil, K. entitled “Block Chain Technology Adoption for Banking Services-Model based on Technology-Organization-Environment theory.” The study viewed that Blockchain technology can enable novel business solutions by allowing asset tracking, data storage in append-only databases, consensus based on distributed ledger systems, cross-border payments and remittances, and digital identification. Understanding BCT adoption in Indian banks is critical to function as a practical solution for banking and financial services. It is determined that perceived compatibility, perceived cost, relative benefit, perceived security, learning culture, top management, competitive pressure, government policies, and customer preparedness are major factors influencing BCT adoption in banking services.

RESEARCH GAP

After getting through numerous study there is considerable scope for the present study. Thus, it is evident from the above literature that the previous research provides modest insights on the corporate governance effectiveness with the introduction of blockchain technology. In fact, the fast developing and unpredictable character of technology breakthroughs is perceived to clash with more traditional methods to governance that are largely hierarchical, i.e., top-down and less self-regulated So far, research efforts appear to have focused on the creation and management of disruptive technologies, with little attention made to the design and efficacy of existing corporate governance and accounting procedures. Further no study has been witnessed the corporate governance effectiveness with the introduction of blockchain in Indian banking sector which was a new concept for Indian economy.

Methodology

Research Design: The study is exploratory in nature. The five-point scale applied in this study was further categorized into three categories: high, moderate, and low scales. Scores more than 3.67 is viewed as high; scores less than 2.33 is viewed as low; while those between low and high scores are considered moderate (Sassenberg et al.,2009)Once the development of the questionnaire lists, the questions were assessed, sorted, coded, and the responses were entered into the statistical software for social sciences (SPSS). Results of the statistical analysis will be presented in the research according to a subset of the questionnaire list questions.

Sampling

Data Collection: The study relies on obtaining preliminary data from the study sample via the questionnaire list method, whether distributed via electronic accounts distributed via the internet or through personal interviews, in order to identify the study sample’s opinions and trends on the extent to which the digital transformation towards the application of blockchain technology in the Indian banking industry contributes to improving the effectiveness of corporate governance.The field study community includes research scholar, financial managers, accounting professional and financial analyst.

Sampling Technique: The judgemental sampling techniques have been employed in the present study.

Tools Used The study employed the two-sample t-test and regression tool used to analyse the result of study.
Statistics Used in the Study

The study employed the arithmetic mean, standard deviation and cronbach alpha.

Analysis

With the objective to ensure that the research sample is as representative of the community as possible, the field study population has been split into three distinct groups, with each group given a relative weight. Therefore, the various groups received a total of 200 questionnaire lists. The Table 1 summarises the total count of questionnaire has been distributed and total count of correct questionnaire has been used for the purpose of study.


The Table No. 2 represents that majority of the respondent were male 54.37% while female represents the 45.62%. The above Table also explains that majority of the respondent were age between 31-40. The Table No. 2 depict that the majority of the educational qualification of the respondent comprises Master degree (50.62%) while Ph.D degree comprises 46.25% and graduation degree hold by respondent 0.031%. Thus, it was concluded that the respondent has the sufficient knowledge in relation to the purpose of study.


The Table 3. summarizes the descriptive statistics of the questionnaire list’s replies to the questions about the effectiveness of corporate governance with the adoption of blockchain technology in the Indian banking sector. It is observed from the above-mentioned Table that the value of the weighted averages for the answers to corporate governance effectiveness questions ranged between 3.20 and 4.82. This suggests that the sample categories generally agree that the adoption of blockchain technology will be improve the corporate governance practices of the Indian commercial bank.

Result and Discussion

Testing Of Hypothesis

H0There is no significant association between corporate governance effectiveness and blockchain technology.

H1: There is a significant association between corporate governance effectiveness and blockchain technology

To test the main hypothesis, a Test (T) of a single sample relied on the One Sample T-Test and explains. The following table shows the results of the Test (T) for the hypothesis:

Table 4: Result of one sample t-test

Construct

Mean

t-value

Standard Deviation

Significance Value

Corporate Governance Effectiveness

 

4.5680

 

-589.919

 

0.4876

 

0.000

Source: Outputs of the Statistical Program Package for Social Sciences (SPSS)

The Table No. 4 depicted the one sample t-test to statistically analyse that blockchain technology adoption will improve the corporate governance in the Indian banking industry. It is observed from the Table No.2 that mean value in relation to responses from targeted sample survey is recorded at 4.5680 which indicated that majority of sample categories are satisfied that blockchain technology will improve the corporate governance practises of the Indian banking industry. On the other hand, the above-mentioned table also discloses that t-value and arrived at -589.19 while p-value is recorded at 0.000 which indicates that there is strong evidence to reject null hypothesis and accept alternate hypothesis. Thus, it is found that the adoption of blockchain technology will improve the corporate governance practises of the Indian Bank Industry.

For testing the sub hypothesis, the simple linear regression has been used to find the association between adoption of blockchain technology and fraud detection at an early stage.

H01.1: There is no significant association between adoption of blockchain technology and fraud detection at an early stage.

H11.1: There is a significant association between adoption of blockchain technology and fraud detection at an early stage.

Table No.5: Linear Regression Model Summaryb

Model

R

R-Square

Adjusted

R-Square

Standard Eror of Estimate

1

0.994

0.986

0.985

0.10389

a.      Predictors: (Constant), Blockchain technology

b.      Dependent Variable: detection of fraud at an early stage

Source: Outputs of the Statistical Program Package for Social Sciences (SPSS)

Table No.6: Results of ANOVAb

Model

 

Sum of Square

Df

Mean Square

F

Significance Level

1.

Regression

67.996

6

11.444

7.472

.000

 

Residual

4.191

74

0.59

 

 

 

Total

72.187

80

 

 

 

a.      Predictors: (Constant), Blockchain technology

b.      Dependent Variable: detection of fraud at an early stage

Source: Outputs of the Statistical Program Package for Social Sciences (SPSS)

Table No.7: Linear Regression Coefficienta

Model

 

Unstandardized Coefficient

Standardized Coefficients

 

 

B

Standard Eror

Beta

T

Significance

1

(Constant)

2.375

0.342

 

14.1392.867

0.000

 

Blockchain technology

0.351

0.63

0.604

2.867

 

a. Predictors: (Constant), Blockchain technology

Dependent Variable: detection of fraud at an early stage

Source: Outputs of the Statistical Program Package for Social Sciences (SPSS)

The model summary above shows the extent at which the Blockchain technology will detect the fraudulent practises at early stage. The coefficient of determination (R² =0.986) shows that 98.5% accounted for detection of fraudulent practises with the integration of blockchain in the banking operations. This result is statistically significant because the p-value of the result (0.000) is less than 0.5 level of significance used for this study. This indicates that blockchain technology will help to detect fraudulent practises at early stage and bank further take effective measure to safeguard the fraud scam.

The ANOVA value F of (3.52) while the calculated F value is (7.472), at the degree of freedom of 73 shows that blockchain technology has a positive and significant impact on detection of fraudulent practises since the F calculated value is greater than the F table value.

The model further signifies that for an adoption of the blockchain technology into banking practice, detection of fraud at an early stage is certain. This means that even when cybercriminals are hacking bank accounts to swindle funds fraudulently, they can’t break into blockchain database without bank’s prior consent through the development of complex security system. The efficient rate of detection of fraud at an early stage will be increased by 0.351. Therefore, the null hypothesis is rejected while the alternative hypothesis was accepted.

Findings

Based on data analysis and interpretation, the following findings of the study has been drawn:

  1. The results of the main hypothesis test shows that most respondents agree that blockchain technology would improve the practice of corporate governance in the banking industry. It is anticipated that implementing blockchain technology in business facilities would increase information transparency and enhance the efficacy of corporate governance. All participants have rapid access to information on the company's financial and non-financial aspects, as well as stakeholders' awareness of it, thanks to the openness of all transactions. Additionally, it increases the effectiveness of financial markets by providing reliable information that enables them to operate as mechanisms for the best possible distribution of wealth, its speed of availability, and its potential for fair gain. Enhancing the communication channel between investors and management by providing prompt and instantaneous access to information increases investors' faith in the company's leadership.
  2. The results of the sub- hypothesis test shows that most respondents agree blockchain technology would the fraud at an early stage. As the blockchain technology’s records are protected through encryption. Each network user has a private key, which serves as a unique digital signature and is linked to the transactions they complete. If a record is changed, the peer network will immediately be alerted and the signature will become invalid. Alerting others in advance is essential to preventing further damage. It was found that there was a steady increase in the number of fraud cases in India. This can be linked to an expansion in bank products, the majority of which comprised an electronic foundation. However, implementation of the blockchain technology in their banking operations, can reduce the fraud scams cases to almost zero. Banks that have a high index report of fraud cases stand with the greatest advantage if they implement this technology.
Conclusion

The integration of blockchain technology in banking operations has been identified as an important milestone in the digital transformation of banking operations, with the expectation to make banking operations more financially viable and robust. The research investigates how blockchain can enhance corporate governance in the banking industry. This study discloses the core characteristics of blockchain that may be implemented by bank management to scale up corporate governance. As a result, this research broadens the scope of identifying methods that would improve corporate governance, such as record openness, early identification of fraud scams, and lessening the risk of profit management and accounting manipulation in the banking industry. As a result, banks that have identified which areas of their shortcomings may be addressed by blockchain must invest in this technology in order to strengthen client loyalty. Thus, it is concluded that blockchain technology should be adopted by banks for improving the practises of corporate governance and to exterminate financial scams held which made a bank has to bear heavy losses.

Suggestions for the future Study Based on finding and conclusion of study, the following suggestion has been drawn:
1. Government agencies should investigate how blockchain technology can be implemented in the Indian Commercial banks effectively.
2. The Indian government should create a robust database system to detect a financial fraud scam.
3. Banks should provide workshop to employees to integrate the operation of blockchain technology in their daily operations of the banking system.
4. Banks must be adaptable in their adoption of blockchain technology and services thereby accommodate rapidly evolving technological business models and meet the expectations from customers.
5. The RBI should monitors the prevalence of cyber-attacks and take appropriate measures for strengthening the cybersecurity system.
Limitation of the Study 1. The reluctant nature of interviewee to present relevant documents and records to counter verifying the responses.
2. The sources of primary data collection rely on the information gathered through survey, observation, and personal interviews, which may be subject to bias.
3. The concept of blockchain technology is the new concept which poses a challenge to get the questionnaire filled from the respondents as the response rate was very low.
References
  1. Akgiray, V. (2019). The potential for blockchain technology in corporate governance. In OECD Corporate Governance Working Papers No. 21. https://doi.org/10.1787/ef4eba4c-en.
  2. Al-ahdal, W. M., Alsamhi, M. H., Tabash, M. I., & Farhan, N. H. (2020). The impact ofcorporate governance on financial performance of Indian and GCC listed firms:An empirical investigation. Research in International Business and Finance, 51,101083. https://doi.org/10.1016/j.ribaf.2019.101083
  3. Altankhuyag, D., 2019. Impact of Banking Supervision on the Cost-Efficiency of Banks: a Study of Five Developing Asian Countries. Asian Economic and Financial Review 9 (2), 213–231. https://doi.org/10.18488/journal.aefr.2019.92.213.231.
  4. Büchi, G., Cugno, M., & Castagnoli, R. (2020). Smart factory performance and Industry 4.0. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2019.119790.
  5. Chang, S.E., Chen, Y.C., Lu, M.F. (2019). Supply chain re-engineering using blockchain technology: a case of smart contract based tracking process. Technological Forecasting and Social Change 144, 1–11. https://doi.org/10.1016/j.techfore.2019.03.015
  6. Chang, V., Wang, Y., Wills, G., (2020). Research investigations on the use or non-use of hearing aids in the smart cities. Technological Forecasting and Social Change. https://doi.org/10.1108/imds-08-2018-0365
  7. Disyatat, P., 2004. Currency crises and the real economy: the role of banks. Eur. Econ. Rev. 48 (1), 75–90. https://doi.org/10.1016/S0014-2921(02)00238-6
  8. Dong, Y., Hamilton, R., Tippett, M., 2014. Cost efficiency of the Chinese banking sector: a comparison of stochastic frontier analysis and data envelopment analysis. Econ. Model. 36, 298–308. https://dx.doi.org/10.2139/ssrn.2341056
  9. Eghe-Ikhurhe, G. O., & Bonsu-Assibey, M. O. (2022). The effects of blockchain technology on corporate governance: evidence from emerging economy. Management dynamics in the knowledge economy, 10(3), 239-250. https://doi.org/10.2478/mdke-2022-0016
  10. Frank, A.G., Mendes, G.H., Ayala, N.F., Ghezzi, A., 2019. Servitization and Industry 4.0 convergence in the digital transformation of product firms: a business model innovation perspective. Technol. Forecast. Soc. Change 141, 341–351. https://doi.org/10.1016/j.techfore.2019.01.014
  11. Frizzo-Barker, J., Chow-White, P.A., Adams, P.R., Mentanko, J., Ha, D., Green, S., 2019. Blockchain as a disruptive technology for business: a systematic review. Int. J. Inf. Manage. https://doi.org/10.1016/j.ijinfomgt.2019.10.014.
  12. Gai, K., Qiu, M., Zhao, H., Sun, X., 2017. Resource management in sustainable cyberphysical systems using heterogeneous cloud computing. IEEE Transactions on Sustainable Computing 3 (2), 60–72. DOI 10.1109/TSUSC.2017.2723954
  13. Hashem, R. E. E. D. R., Mubarak, A. R. I., & Abu-Musa, A. A. E. S. (2023). The impact of blockchain technology on audit process quality: an empirical study on the banking sector. International Journal of Auditing and Accounting Studies, 5(1), 87-118. https://doi.org/ 10.47509/IJAAS.2023.v05i01.04
  14. Hassani, H., Huang, X., Silva, E., 2018. Banking with blockchain-ed big data. Journal of Management Analytics 5 (4), 256–275. DOI:10.1080/23270012.2018.1528900
  15. Hou, J., Wang, C., Luo, S., 2020. How to improve the competiveness of distributed energy resources in China with blockchain technology. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2019.119744.
  16. Hou, J., Wang, C., Luo, S., 2020. How to improve the competiveness of distributed energy resources in China with blockchain technology. Technological Forecasting and Social Change https://doi.org/10.1016/j.techfore.2019.119744.
  17. Hyv¨ arinen, H., Risius, M., Friis, G., 2017. A blockchain-based approach towards overcoming financial fraud in public sector services. Business & Information Systems Engineering 59 (6), 441–456. https://doi.org/10.1007/s12599-017-0502-4
  18. Iqbal, B.A., Sami, S., 2017. Role of banks in financial inclusion in India. Contaduría y administracion ´ 62 (2), 644–656. DOI: 10.1016/j.cya.2017.01.007
  19. Jayadev, M., Singh, H., Kumar, P., 2017. Small finance banks: challenges. IIMB Management Review 29 (4), 311–325. https://doi.org/10.1016/j.iimb.2017.10.001
  20. Kaal, W. A. (2020). Digital asset market evolution. J. Corp. L., 46, 909.
  21. Kabir, M. R., & Islam, M. A. 2021. Behavioural intention to adopt blockchain technology in Bangladeshi banking companies. In AIP Conference Proceedings (Vol. 2347, No. 1). AIP Publishing. https://doi.org/10.1063/5.0051654
  22. Khalil, M., Khawaja, K. F., & Sarfraz, M. 2021. The adoption of blockchain technology in the financial sector during the era of fourth industrial revolution: a moderated mediated model. Quality & Quantity, 1-18. https://doi.org/10.1007/s11135-021-01229-0
  23. Kohtamaki, ¨ M., Parida, V., Patel, P.C., Gebauer, H., 2020. The relationship between digitalization and servitization: the role of servitization in capturing the financial potential of digitalization. Technol. Forecast. Soc. Change. https://doi.org/10.1016/j.techfore.2019.119804
  24. Kulkarni, M., & Patil, K. (2020, March). Block Chain Technology Adoption for Banking Services-Model based on Technology-Organization-Environment theory. In Proceedings of the International Conference on Innovative Computing & Communications (ICICC). DOI:10.2139/ssrn.3563101
  25. Kumar, K., Prakash, A., 2018. Developing a framework for assessing sustainable banking performance of the Indian banking sector. Social Responsibility Journal. https://doi.org/10.1108/SRJ-07-2018-0162
  26. Mani, Z., Chouk, I., 2018. Consumer resistance to innovation in services: challenges and barriers in the Internet of Things era. Journal of Product Innovation Management 35 (5), 780–807. https://doi.org/10.1111/jpim.12463
  27. Palmi´e, M., Wincent, J., Parida, V., Caglar, U., 2020. The evolution of the financial technology ecosystem: an introduction and agenda for future research on disruptive innovations in ecosystems. Technol. Forecast. Soc. Change. https://doi.org/10.1016/j.techfore.2019.119779
  28. Ray, S., 2016. Cost efficiency in an Indian bank branch network: a centralized resource allocation model. Omega (Westport) 65, 69–81. https://doi.org/10.1016/j.omega.2015.12.009
  29. Repousis, S., Lois, P., Veli, V., 2019. An investigation of the fraud risk and fraud scheme methods in Greek commercial banks. Journal of Money Laundering Control 22 (1), 53–61.  https://doi.org/10.1108/JMLC-11-2017-0065
  30. Ronaghi, M. H. (2022). Contextualizing the impact of blockchain technology on the performance of new firms: The role of corporate governance as an intermediate outcome. The Journal of High Technology Management Research, 33(2), 100438. https://doi.org/10.1016/j.hitech.2022.100438
  31. Sachitra, V., & Dayaratna, D. (2023). Examine the Feasibility of Implementing Blockchain Technology in the Sri Lankan Banking System. Asian Journal of Advanced Research and Reports, 17(9), 115-125. DOI:10.9734/ajarr/2023/v17i9524
  32. Skilton, M., Hovsepian, F., 2017. The 4th industrial revolution: Responding to the impact of artificial intelligence on business. Springer International Publishing, AG, Cham. DOI:10.1007/978-3-319-62479-2.
  33. Sunder, M.V., Ganesh, L.S., Marathe, R.R., 2019. Lean Six Sigma in consumer banking–an empirical inquiry. International Journal of Quality & Reliability Management. https://doi.org/10.1108/IJQRM-01-2019-0012.
Szalavetz, A., 2019. Industry 4.0 and capability development in manufacturing subsidiaries. Technological Forecasting and Social Change.145, 384–395. DOI:10.1016/j.techfore.2018.06.027