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Mwalukasa, Boniface. (1402). Electronic Payments and the Performance of Tour Operators' Supply Chain in Tanzania Tourism Industry. نشریه علمی دانشگاه سیستان و بلوچستان, 15(2), 257-279. doi: 10.22111/ijbds.2024.48351.2103
Boniface E Mwalukasa. "Electronic Payments and the Performance of Tour Operators' Supply Chain in Tanzania Tourism Industry". نشریه علمی دانشگاه سیستان و بلوچستان, 15, 2, 1402, 257-279. doi: 10.22111/ijbds.2024.48351.2103
Mwalukasa, Boniface. (1402). 'Electronic Payments and the Performance of Tour Operators' Supply Chain in Tanzania Tourism Industry', نشریه علمی دانشگاه سیستان و بلوچستان, 15(2), pp. 257-279. doi: 10.22111/ijbds.2024.48351.2103
Mwalukasa, Boniface. Electronic Payments and the Performance of Tour Operators' Supply Chain in Tanzania Tourism Industry. نشریه علمی دانشگاه سیستان و بلوچستان, 1402; 15(2): 257-279. doi: 10.22111/ijbds.2024.48351.2103

Electronic Payments and the Performance of Tour Operators' Supply Chain in Tanzania Tourism Industry

International Journal of Business and Development Studies
دوره 15، شماره 2، اسفند 2023، صفحه 257-279    اصل مقاله (1.18 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22111/ijbds.2024.48351.2103
نویسنده
Boniface E Mwalukasa*
College of Business Education, Dar es Salaam, Tanzania
چکیده
The number of international visitors in Tanzania has consistently remained around one million since 2012. The current study aimed to investigate the effects of electronic payment in enhancing financial flow on the performance of tour operators' supply chains, guided by the Technology Acceptance Model. A convergent parallel mixed-method design was employed using a sampling frame comprised of 543 tour operators. A sample of 230 respondents was selected using multi-stage sampling. Primary data were collected using a self-administered structured questionnaire and an interview guide. Quantitative data were analysed using descriptive statistics to compute percentages, means of respondents’ answers, and cross-tabulations. Inferential statistics employing Structural Equation Modeling was applied to test hypotheses through IBM SPSS Amos version 20. Qualitative data were thematically analysed using NVivo version 20. The findings revealed that electronic payment positively and significantly influenced tour operators’ supply chain performance. The results of the Structural Equation Modeling using three indicators namely, perceived security, transaction procedures, and regulatory framework, indicate that electronic payment directly influenced tour operators’ supply chain by increasing sales, Return on Assets, and profit. The study recommends that both the government and tour operators invest in modern electronic payment technologies to influence consumers’ purchase decisions, thereby increasing consumers’ spending. Strategic efforts and collaboration between stakeholders, including government bodies, industry regulators, and tour operators, are essential to create a secure, reliable, and trustworthy environment for the success of e - e-payment systems usage.
کلیدواژه‌ها
Electronic Payments؛ Tour Operators؛ Perceived security؛ Regulatory framework؛ Supply chain performance
مراجع
  1. Tigu G, Calareţu B. Supply chain management performance in tourism continental hotels chain case. Amfiteatru Econ. 2013;15(33):103–15.
  2. Sigala M. A supply chain management approach for investigating the role of tour operators on sustainable tourism: the case of TUI. J Clean Prod. 2008;16(15):1589–99.
  3. Arifin M, Ibrahim A, Nur M. Integration of supply chain management and tourism: An empirical study from the hotel industry of Indonesia. Manag Sci Lett. 2019;9(2):261–70.
  4. Klapper L. How digital payments can benefit entrepreneurs. IZA World Labor. 2017;1–9.
  5. WEF. Addressing E-Payment Challenges in Global E-Commerce [Internet]. 2018. Available from: http://www3.weforum.org/docs/WEF_Addressing_E-Payment_Challenges_in_Global_E-Commerce_clean.pdf
  6. Laura LB, Aurora RR. The importance of online payment on Travel and Tourism incomes - A Cross-Country Panel Data Study. Acad Int Sci J. 2019;20(July):199–222.
  7. Zou S, Wu L, Liu H, Turner R, Li X. Mobile Payments in Travel & Tourism: Unlocking The Potential [Internet]. 2019. Available from: https://wttc.org/Portals/0/Documents/Reports/2019/Security_and_Travel_Facilitation_Seamless_Travel_Journey_Mobile_Payments_in_Travel_and_Tourism_Mar_2019.pdf?ver=2021-02-25-182803-757
  8. Chellapalli T, Venkata D, Kumar S. Role Of Customer Perceptions In The Usage Of Electronic Payment Systems. Int J Sci Technol Res. 2020;9(02).
  9. Mohan A. “Impact of E-Payment Systems on Customer Satisfaction.” Int J Res Appl Sci Eng Technol. 2021;9(10):573–81.
  10. Mashayekhi H. Factors influencing adoption of e-payment systems : an empirical study on Iranian customers Factors Influencing Adoption of E-Payment Systems : An Empirical Study on Iranian Customers. Inf Syst E-bus Manag. 2017;(December).
  11. Peng R, Xiong L, Yang Z. Exploring Tourist Adoption of Tourism Mobile Payment: An Empirical Analysis. J Theor Appl Electron Commer Res. 2012;7(1):21–33.
  12. Oney E, Guven GO, Rizvi WH. The determinants of electronic payment systems usage from consumers’ perspective. Econ Res Istraz [Internet]. 2017;30(1):394–415. Available from: http://dx.doi.org/10.1080/1331677X.2017.1305791
  13. Mwenegoha T. The Development of Consumer Protection Laws in Tanzania for Electronic Consumer Contracts The Development of Consumer Protection Laws in Tanzania for Electronic Consumer Contracts A thesis submitted in fulfilment of the requirements for the degree of Doct. Bond University; 2016.
  14. Chang B -y., Magobe MJ, Kim YB. E-commerce applications in the tourism industry : A Tanzania case study. SAfrJBusManage. 2015;46(4):53–64.
  15. Sedoyeka E, Sicilima J. Tanzania National Fibre BroadBand Backbone. Int J Comput ICT Res. 2016;10(1):61–92.
  16. MoFP. National five years development plan 2016/17-2020/21. 2016.
  17. United Republic of Tanzania (URT). The 2022 international visitors’ exit survey report [Internet]. Dodoma; 2022. Available from: file:///E:/papers/e-payment/2022InternationalVisitorsExitSurveyReport.pdf
  18. Bennett JA, Schoeman L. The Tourism System and Major Role-Players Involved. Managing Tourism Services. 3rd ed. Pretoria: Van Schaik Publishers; 2005. 30–62 p.
  19. Gonz´alez-Torres, Rodríguez-S´anchez J-L, Pelechano-barahona E. Managing relationships in the Tourism Supply Chain to overcome epidemic outbreaks : The case of COVID-19 and the hospitality industry in Spain. Int J Hosp Manag. 2020;(January).
  20. Primadineska RW, Jannah SM. Perceived Security and Trust in Electronic Payment Systems: How They Affect the Decision to Use EPS During the COVID-19 Pandemic. J Manaj Bisnis. 2021;12(2).
  21. Dangol S, Kautish S. It Security related issues and challenges in electronic payment system in Nepal : a study from customer ’ s perspective. Res J Dangol, S, Kautish, S (2019) It Secur Relat issues challenges Electron Paym Syst Nepal a study from Cust ’ s Perspect Res J Sci Technol Manag 1(2), 85–103Science, Te. 2019;1(2):85–103.
  22. Kim C, Tao W, Shin N, Kim KS. An empirical study of customers’ perceptions of security and trust in e-payment systems. Electron Commer Res Appl [Internet]. 2010;9(1):84–95. Available from: http://dx.doi.org/10.1016/j.elerap.2009.04.014
  23. Ramli Y. Adopting Digital Payment based on the Features and Benefits provided by the Application. Eur J Bus Manag Res. 2020;5(3):1–6.
  24. Tsiakis T, Sthephanides G. The concept of security and trust in electronic payments. Comput Secur. 2005;24:10–5.
  25. Davis FD. A technology acceptance model for empirically testing new end-user information systems. Cambridge, MA, 17.; 1986.
  26. El Archi Y, Benbba B. The Applications of Technology Acceptance Models in Tourism and Hospitality Research: A Systematic Literature Review. J Environ Manag Tour. 2023;14(2):379–91.
  27. Hasni MJS, Farah MF, Adeel I. The technology acceptance model revisited: empirical evidence from the tourism industry in Pakistan. J Tour Futur. 2022;1–21.
  28. Singh S, Srivastava P. Social media for outbound leisure travel: a framework based on technology acceptance model (TAM). J Tour Futur. 2019;5(1):43–61.
  29. Naeem M, Hameed M, Taha MS. A study of electronic payment system. In: 1st International Symposium on Engineering and Technology (ISETech). ISETech; 2020.
  30. Oyelami LO, Adebiyi SO, Adekunle BS. Electronic payment adoption and consumers’ spending growth: empirical evidence from Nigeria. Futur Bus J. 2020;6(1):0–14.
  31. Kilay AL, Simamora BH, Putra DP. The Influence of E‐Payment and E‐Commerce Services on Supply Chain Performance Implications of Open Innovation and Solutions for the Digitalization of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. J Open Innov Mark Complex. 2022;8:119.
  32. Zandi M, Koropeckyj S, Singh V, Matsiras P. The Impact of Electronic Financial Payments on Economic Growth. SSRN Electron J. 2016;1–31.
  33. Susanto E, Hendrayati H, Rahtomo WR, Prawira MFA. Adoption of Digital Payments for Travelers at Tourism Destinations. African J Hosp Tour Leis. 2022;11(2):741–53.
  34. Lou L, Tian Z, Koh J. Tourist satisfaction enhancement using mobile QR code payment: An empirical investigation. Sustain. 2017;9(7):1–14.
  35. Solat S. Security of Electronic Payment Systems: A Comprehensive Survey [Internet]. Sorbonne Universités, UPMC University of Paris VI; 2017. Available from: http://arxiv.org/abs/1701.04556
  36. Himani. A Study of Consumer perception regarding digital payment system in India. Int J Manag Soc Sci. 2018;6(8):13–23.
  37. World Bank Group. Consumer Protection in the Context of Fast Payments. Focus Note: World Bank Fast Payments Toolkit. 2021.
  38. Saunders M, Lewis P, Thornhill A. Research Methods for Business Students. 5th ed. London: Prentice Hall; 2009. 649 p.
  39. Kayani KK. Impact of ICT on bricks and mortar travel agents and changes in supply chain positioning. 2014.
  40. Al-Adamat A. The impact of information and communication technology on the marketing performance of Jordanian Hotels. (Doctoral dissertation).Queen Margaret University, East Lothian, Scotland.; 2015.
  41. Hesse-Biber SN. Mixed methods research: Merging theory with practice. The Guilford Press. New York: The Guilford Press; 2010. 242 p.
  42. Creswell J. Research design quantitative, qualitative and mixed methods approaches. 4th ed. Night V, editor. Los Angeles: SAGE Publications, Inc.; 2014.
  43. NBS. The 2016 International Visitors ’ Exit Survey Report [Internet]. Dar es Salaam; 2017. Available from: http://www.nbs.go.tz/nbstz/index.php/english/statistics-by-subject/hotels-and-tourism-statistics/956-international-visitors-exit-survey-report-2016
  44. TTB. List of Registered Tanzania Tour Operators [Internet]. 2017 [cited 2017 Sep 10]. Available from: https://www.tanzaniatourism.go.tz/operators/listings/category/tour-operators/P10
  45. Cooper C. Essentials of tourism. 2nd ed. Edinburgh Gate: Pearson Education Limited; 2012.
  46. Gartner WC, Bachri T. Tour operators’ role in the tourism distribution System. J Int Consum Mark. 1994;6(3–4):161–79.
  47. ZATO. Zanzibar Association Of Tour Operators [Internet]. 2018 [cited 2018 Nov 6]. Available from: http://www.zato.or.tz/
  48. Cresswell JW. “Mapping the field of mixed Methods Research.” J Mix Methods Res. 2009;3(2):95–108.
  49. Patton MQ. Qualitative Research & Evaluation Methods [Internet]. 3rd ed. Qualitative Inquiry. Sage Publications, Inc.; 2002. Available from: http://books.google.com/books/about/Qualitative_research_and_evaluation_meth.html?id=FjBw2oi8El4C
  50. Kothari C., Garg G. Research methodology. 3rd ed. New Delhi: New Age International (P) Ltd.; 2014.
  51. Rubin A, Babbie R. Chapter 10: Essential Research Methods for Social Work [Internet]. Essential Research Methods for Social Work. 2008. 362 p. Available from: https://books.google.nl/books?id=cO8lh0omJtMC
  52. Yamane T. Statistics: An Introductory Analysis. 2nd ed. New York: Harper and Row; 1967.
  53. Cohen L, Manion L, Morrison K. Research methods in education. 6th ed. Routledge.: Routledge; 2007.
  54. Saunders B, Sim J, Kingstone T, Baker S, Waterfield J, Bartlam B, et al. Saturation in qualitative research: exploring its conceptualization and operationalization. Qual Quant. 2018;52(4):1893–907.
  55. Krishnaswami O., Ranganatham M. Methodology of Research in Social Sciences. 4th ed. Mumbai: Himalaya Publishing House PVT. LTD; 2010. 126–141 p.
  56. Creswell JW. Research design: Qualitative, quantitative, and mixed methods approaches. 3rd ed. California: Sage Publications, Inc.; 2009.
  57. Kothari CR. Research Methodology: Methods & Techniques. 2nd ed. New Age International (P) Ltd. New Delhi: New Age International (P) Ltd.; 2004. 418 p.
  58. Fink A. eSurvey Handbook. 2nd ed. California 91320: Sage Publications, Inc.; 2003.
  59. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate Data Analysis. Vectors. Pearson Prentice Hall; 2010. 816 p.
  60. Cronbach LJ. Coefficient Alpha and the Internal Structure of Tests. Psychometrika. 1951;16(3):297–334.
  61. Oney E, Guven GO, Rizvi WH. The determinants of electronic payment systems usage from consumers ’ perspective. Econ Res Istraživanja [Internet]. 2017;30(01):1–22. Available from: http://dx.doi.org/10.1080/1331677X.2017.1305791
  62. WTTC. Tanzania travel and tourism economic impact. London; 2019.
  63. WTTC. Mobile payments in travel & tourism: unlocking the potential [Internet]. 2019. Available from: https://www.wttc.org/-/media/files/reports/2019/mobile-payments-in-travel-tourism.pdf
  64. URT. Crime and Traffic Incidents Statistics report. Dar es Salaam; 2017.
  65. Tabachnick BG, Fidell LS. Using multivariate statistics / Barbara G. Tabachnick, Linda S. Fidell. [Internet]. 6th ed. 2014. 1055 p. Available from: https://hollilermalemi.files.wordpress.com/2017/05/using-multivariate-statistics-5th-edition-by-barbara-g-tabachnick-linda-s-fidell.pdf
  66. Pallant J. SPSS. Survival Manual A Step by Step Guide to Data Analys i s using SPSS for Windows third edition [Internet]. New York; 2007. Available from: www.openup.co.uk
  67. Schütz T. Book Review: A Concise Guide to Market Research: The Process, Data and Methods using IBM SPSS Statistics. Vol. 53, International Journal of Market Research. 2011. 563–564 p.
  68. Byrne BM. Structural Equation Modeling with AMOS:Basic Concepts, Applications, and Programming [Internet]. 2nd ed. Vol. 22. New York: Taylor and Francis Group; 2010. 2009 p. Available from: http://www.uta.fi/aktkk/lectures/sem_en/pdf/sem_exercise_v2.4.pdf
  69. Krej M, Strielkowski W, Čabelková I. Factors that influence the success of small and medium enterprises in ICT : a case study from the Czech republic. Bus THeory Pract. 2015;16(2):304–15.
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