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Journal of Information and Optimization Sciences cover

Journal of Information and Optimization Sciences

(Since 1980)
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Journal of Information and Optimization Sciences
Open Access Research Article

Application of robotic process automation in customer satisfaction at toll plazas

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pp. 1685–1694Vol. 44Issue 8November 2023DOI: 10.47974/JIOS-1484XML
Published Online:
13 Jan 2024
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1484
Pages:
1685–1694

Abstract

Background: Digitalization is widely spreaded in all over the world and Robotic Process Automation is one the main component in future technology. It is a new technique which is used to copy actions of human being who is interacting with the digital system. Now a days RPA is being adopted by number of service providers, toll plazas are one of them. Operations at toll plazas are conducting through RPA in form of fastag. Objectives: The paper aims to analyses satisfaction level of customers at toll plazas. As increasing traffic creates a lot of difficulties faced by customers such as wastage of time in long ques, improper service at toll plazas, no response from the employees, lack of knowledge among toll plaza staff. To eliminate this kind of problem new technique is implemented as fastag. Methodology: This conceptual research was based on both the primary and the secondary data. The methodology which is used, is a way which includes systematic and effective evaluation of numerous factors which creates dissatisfaction among customers of toll plazas. Findings: With the help of adequate samples results and findings it has been observed by the researcher that after implementing Robotic Process Automation at toll plazas customers are being satisfied by the performance of toll plazas and their employees. Conclusion: Robotic Process Automation is becoming mandatory to do business operations at toll plazas, as bots can do multiple tasks within a very short span of time. As after introduce this technique to toll plazas quality of service is getting improved, customers are satisfied and getting 24*7 access to their systems.

Keywords

Robotic process automationToll plazaCritical evaluationFastag

Subject Classifications

55M30

References

[1] Akshay. N et al, A study on Passenger’s Satisfaction Using Fastag with Special Reference to Coimbatore City, International Journal of Research and Development. Vol 6, Issue 4, ISSN 2455-7838. 
[2] Dini Dwi Wulandary et al, Investigating Customer Satisfaction of the Bakauheni- Palembang Toll Road, Jambura Science of Management, Vol 4, ISSN 2655-3651.
[3] Ian Lerche. Epidemic evolution: Source, lock-down and removal modifications to the SIR model, Journal of Statistics and Management Systems, 25:8, 1767-1780 (2022), DOI: 10.1080/09720510.2021.1972622.
[4] Osman Kamari & Morad Alizadeh. The type 2 extended exponentiated family of distributions, Journal of Statistics and Management Systems, 25:8, 1735-1749 (2022), DOI: 10.1080/09720510.2021.2011115.
[5] Satya Srikanth P et al, International; Journal of Computer Science and Mobile Computing, Vol. 5 Issue 8, p.g 247-253 (August- 2016).
[6] Shirina, S., Sharma, R., Agarwal, R. N., & Sao, A., Factors affecting employee engagement in higher education institution-An empirical study in NCR. Journal of Information and Optimization Sciences, 43(7), 1779-1800 (2022).
[7] Sofia Khan, R. K. Tailor, Ranu Pareek, Rashmi Gujrati & Hayri Uygun. Application of Robotic Process Automation in education sector, Journal of Information and Optimization Sciences, 43:7, 1815- 1834 (2022), DOI: 10.1080/02522667.2022.2128534.
[8] Lin, Y., Wang, P. & Ma, M. Intelligent transportation system (its): Concept, challenge and opportunity. In 2017 IEEE 3rd international conference on big data security on cloud (bigdatasecurity), ieee international conference on high performance and smart computing (hpsc), and IEEE international conference on intelligent data and security (ids), 167–172 (IEEE, 2017).
[9] Marsden, G. & Reardon, L. Questions of governance: Rethinking the study of transportation policy. Transp. Res. Part A:Policy Pract. 101, 238–251 (2017). 
[10] Sun, L. & Yin, Y. Discovering themes and trends in transportation research using topic modeling. Transp. Res. Part C: Emerg. Technol. 77, 49–66 (2017).
[11] Tailor, R., Pareek, R. & Khang, A. Robot process automation in blockchain. In The Data-Driven Blockchain Ecosystem,113–125 (CRC Press, 2022)
[12] Sheenam Naaz et al, An Artificial Intelligence Based Toll Collection System, ICIDSSD2020, February 27-28, New Delhi.
[13] Sudheer Kumar Nagothu, Automated Toll Collection System Using GPS and GPRS, International Conference on Communication and Signal Processing.
[14] Herry T. Zuna et al, Analyzing Service Quality of Toll Road and its Relation with customer Satisfaction in Indonesia using Multivariate Analysis, International Conference on Quality in Research, ISSN 1411-1284.
[15] Ministry of Road Transport and Highways, India (MORTH).

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