Impact of Self Service Technology on Customer Behavioral Intention: Case of Intercity Railway Service in Sri Lanka

1
Nipuni Sashanka Perera
Nipuni Sashanka Perera
2
Perera. K.N. S
Perera. K.N. S
3
Packeer.T. A
Packeer.T. A
4
Shilpa.Y
Shilpa.Y
5
Rupasinghe. U.M
Rupasinghe. U.M
6
Kahandawaarachchi. C
Kahandawaarachchi. C

Send Message

To: Author

GJMBR Volume 19 Issue E7

Article Fingerprint

ReserarchID

4QT57

Impact of Self Service Technology on Customer Behavioral Intention: Case of Intercity Railway Service in Sri Lanka Banner
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

The underperforming railway transportation in Sri Lanka is still running on ticket reservation techniques. Sri Lanka, the public transportation sector is yet to realizes the usefulness of self-service technologies. Since the majority of the industries moved forward with self-service technologies and, Sri Lankan customers are already familiar with these types of smart technologies, we expect customer behaviour toward railway self-service technologies will also become more positive. Existing processes are consisting of lots of non-value adding and waste activities. To solve these problems, researchers trying to explore the customer behavioural intention toward a railway self-service ticketing system and design a national framework for the Sri Lanka intercity railway. Through that Sri Lanka Railways can reduce issues related to the current process. For that researcher using exploratory research design and inductive approach and both quantitative and qualitative data gathering methodologies used to gather information. Purposive sampling method using to identify participants for the questionnaire.

16 Cites in Articles

References

  1. Mazhar Abbas (2014). Challenges in Implementation of TVM (Ticket Vending Machine) in Developing Countries for Mass Transport System: A Study of Human Behavior while Interacting with Ticket Vending Machine-TVM.
  2. J Ainin Sulaiman (2008). E-Ticketing as a New Way of Buying Tickets: Malaysian Perceptions.
  3. M David Wanless (1989). Automatic ticketing on London underground.
  4. H Guangming Xua (2018). Itinerary choice and advance ticket booking for high-speedrailway network services.
  5. G Jakubauskas (2006). Improvement of urban passenger transport ticketing systems by deploying intelligent transport systems.
  6. Jesús Manuel López-Bonilla,L,-B (2015). Selfconsciousness profiles in the acceptance of airline e-ticketing services.
  7. M Jasmin,S (2016). Automatic Vending Machine Prototype Model.
  8. J Machiel,P Reinders,. (2008). Consequences of Forcing Consumers to Use Technology-Based Self-Service.
  9. Per-Einar Binder,Elisabeth Schanche,Helge Holgersen,Geir Nielsen,Aslak Hjeltnes,Signe Stige,Marius Veseth,Christian Moltu (1995). Why do we need qualitative research on psychological treatments? The case for discovery, reflexivity, critique, receptivity, and evocation.
  10. Norazah Mohd,Suki,N (2017). Flight ticket booking app on mobile devices: Examining the determinants of individual intention to use.
  11. F Oyelade 0 (2009). Development of a Mobile Airline Reservation System.
  12. A Parag Chatterjee (2014). Smart Computing Applications in Railway Systems -A case study in Indian Railways Passenger Reservation System.
  13. Paula Fraga-Lamas,Tiago Fernández-Caramés,Luis Castedo (2017). Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways.
  14. M Puhe (2014). Integrated urban e-ticketing schemes -conflicting objectives of corresponding stakeholders.
  15. S Shirish C Srivastava (2007). Modernization of passenger reservation system: Indian Railways' dilemm.
  16. Tae-Hong Ahn,T (2011). Factors influencing online flight ticket purchasing.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Nipuni Sashanka Perera. 2019. \u201cImpact of Self Service Technology on Customer Behavioral Intention: Case of Intercity Railway Service in Sri Lanka\u201d. Global Journal of Management and Business Research - E: Marketing GJMBR-E Volume 19 (GJMBR Volume 19 Issue E7): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

Keywords
Classification
GJMBR-E Classification: JEL Code: M37
Version of record

v1.2

Issue date

December 10, 2019

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

Read in 3D

The methods for personal identification and authentication are no exception.

Article Matrices
Total Views: 2522
Total Downloads: 1219
2026 Trends
Research Identity (RIN)
Related Research

Published Article

The underperforming railway transportation in Sri Lanka is still running on ticket reservation techniques. Sri Lanka, the public transportation sector is yet to realizes the usefulness of self-service technologies. Since the majority of the industries moved forward with self-service technologies and, Sri Lankan customers are already familiar with these types of smart technologies, we expect customer behaviour toward railway self-service technologies will also become more positive. Existing processes are consisting of lots of non-value adding and waste activities. To solve these problems, researchers trying to explore the customer behavioural intention toward a railway self-service ticketing system and design a national framework for the Sri Lanka intercity railway. Through that Sri Lanka Railways can reduce issues related to the current process. For that researcher using exploratory research design and inductive approach and both quantitative and qualitative data gathering methodologies used to gather information. Purposive sampling method using to identify participants for the questionnaire.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]
×

This Page is Under Development

We are currently updating this article page for a better experience.

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Impact of Self Service Technology on Customer Behavioral Intention: Case of Intercity Railway Service in Sri Lanka

Perera. K.N. S
Perera. K.N. S
Packeer.T. A
Packeer.T. A
Shilpa.Y
Shilpa.Y
Rupasinghe. U.M
Rupasinghe. U.M
Kahandawaarachchi. C
Kahandawaarachchi. C

Research Journals