Determinants of revenue management framework as enablers for cloud & e-commerce hospitality management

Bernardo P. de Bastos

Article ID: 2486
Vol 4, Issue 2, 2023
DOI: https://doi.org/10.54517/st.v4i2.2486
Received: 25 September 2023; Accepted: 12 October 2023; Available online: 10 November 2023; Issue release: 30 December 2023

VIEWS - 796 (Abstract)

Download PDF

Abstract

The digital landscape’s impact on hospitality, driven by new online practices, has heightened the importance of loyalty programs. This essay explores the fusion of e-commerce with hotel management, utilizing cloud-based practices to handle electronic commerce data. Through a review of existing literature and on-site observations, it uncovers evolving managerial techniques and data warehousing for predictive modeling. The manuscript investigates how Revenue Management Artificial Intelligence (RM AI) influences Hospitality Supply Chain Management (SCM) sustainability. Findings reveal a positive impact on sustainability but stress the need for customized AI solutions for each hotel.


Keywords

e-commerce; cloud management; hotel management; revenue management; supply chain management


References

1. Alrawadieh Z, Alrawadieh Z, Cetin G. Digital transformation and revenue management: Evidence from the hotel industry. Tourism Economics. 2020; 27(2): 328-345. doi: 10.1177/1354816620901928

2. Altin M, Schwartz Z, Uysal M. “Where you do it” matters: The impact of hotels’ revenue-management implementation strategies on performance. International Journal of Hospitality Management. 2017; 67: 46-52. doi: 10.1016/j.ijhm.2017.08.001

3. Cooper WL. Asymptotic Behavior of an Allocation Policy for Revenue Management. Operations Research. 2002; 50(4): 720-727. doi: 10.1287/opre.50.4.720.2855

4. Denizci Guillet B. An evolutionary analysis of revenue management research in hospitality and tourism. International Journal of Contemporary Hospitality Management. 2020; 32(2): 560-587. doi: 10.1108/ijchm-06-2019-0515

5. de Bastos BP. Contribution of hotels’ revenue management for supply chain sustainability. Journal of Revenue and Pricing Management. 2022; 22(4): 294-305. doi: 10.1057/s41272-022-00380-z

6. Noone BM, McGuire KA, Rohlfs KV. Social media meets hotel revenue management: Opportunities, issues and unanswered questions. Journal of Revenue and Pricing Management. 2011; 10(4): 293-305. doi: 10.1057/rpm.2011.12

7. Yeoman IS, McMahon-Beattie U. The turning points of revenue management: a brief history of future evolution. Journal of Tourism Futures. 2017; 3(1): 66-72. doi: 10.1108/jtf-11-2016-0040

8. Zhang D, Weatherford L. Dynamic Pricing for Network Revenue Management: A New Approach and Application in the Hotel Industry. INFORMS Journal on Computing. 2017; 29(1): 18-35. doi: 10.1287/ijoc.2016.0713

9. Go H, Kang M, Suh SC. Machine learning of robots in tourism and hospitality: interactive technology acceptance model (iTAM) – cutting edge. Tourism Review. 2020; 75(4): 625-636. doi: 10.1108/tr-02-2019-0062

10. Rentzsch P, Witten D, Cooper GM, et al. CADD: predicting the deleteriousness of variants throughout the human genome. Nucleic Acids Research. 2018; 47(D1): D886-D894. doi: 10.1093/nar/gky1016

11. Weiss K, Khoshgoftaar TM, Wang D. A survey of transfer learning. Journal of Big Data. 2016; 3(1). doi: 10.1186/s40537-016-0043-6

12. Duan Y, Edwards JS, Dwivedi YK. Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management. 2019; 48: 63-71. doi: 10.1016/j.ijinfomgt.2019.01.021

13. Martín-Gómez A, Aguayo-González F, Luque A. A holonic framework for managing the sustainable supply chain in emerging economies with smart connected metabolism. Resources, Conservation and Recycling. 2019; 141: 219-232. doi: 10.1016/j.resconrec.2018.10.035

14. Cai R, Leung XY. Mindset matters in purchasing online food deliveries during the pandemic: The application of construal level and regulatory focus theories. International Journal of Hospitality Management. 2020; 91: 102677. doi: 10.1016/j.ijhm.2020.102677

15. Nagy B, Gabor MR, Bacoș IB, et al. Google and Apple mobility data as predictors for European tourism during the COVID-19 pandemic: A neural network approach. Equilibrium Quarterly Journal of Economics and Economic Policy. 2023; 18(2): 419-459. doi: 10.24136/eq.2023.013

16. Ginanneschi M. The Impact of E-Commerce on Hotel Management: Evidences from a Sample of Tuscan Hotels. Almatourism - Journal of Tourism, Culture and Territorial Development. 2014; 10: 88-108. doi: 10.6092/ISSN.2036-5195/4775

17. Dávid LD, Dadkhah M. Artificial intelligence in the tourism sector: Its sustainability and innovation potential. Equilibrium Quarterly Journal of Economics and Economic Policy. 2023; 18(3): 609-613. doi: 10.24136/eq.2023.019

18. Troisi O, Visvizi A, Grimaldi M. Digitalizing business models in hospitality ecosystems: toward data-driven innovation. European Journal of Innovation Management. 2023; 26(7): 242-277. doi: 10.1108/ejim-09-2022-0540

19. Huang MH, Rust RT. Artificial Intelligence in Service. Journal of Service Research. 2018; 21(2): 155-172. doi: 10.1177/1094670517752459

20. Lu VN, Wirtz J, Kunz WH, et al. Service robots, customers and service employees: what can we learn from the academic literature and where are the gaps? Journal of Service Theory and Practice. 2020; 30(3): 361-391. doi: 10.1108/jstp-04-2019-0088

21. Zhou J, Li P, Zhou Y, et al. Toward New-Generation Intelligent Manufacturing. Engineering. 2018; 4(1): 11-20. doi: 10.1016/j.eng.2018.01.002

22. Aizenberg E, van den Hoven J. Designing for human rights in AI. Big Data & Society. 2020; 7(2): 205395172094956. doi: 10.1177/2053951720949566

23. Barlette Y, Jaouen A, Baillette P. Bring Your Own Device (BYOD) as reversed IT adoption: Insights into managers’ coping strategies. International Journal of Information Management. 2021; 56: 102212. doi: 10.1016/j.ijinfomgt.2020.102212

24. Font X, English R, Gkritzali A, et al. Value co-creation in sustainable tourism: A service-dominant logic approach. Tourism Management. 2021; 82: 104200. doi: 10.1016/j.tourman.2020.104200

25. Cross RG, Higbie JA, Cross DQ. Revenue Management’s Renaissance. Cornell Hospitality Quarterly. 2008; 50(1): 56-81. doi: 10.1177/1938965508328716

26. Forgacs G, Dimanche F. Revenue challenges for hotels in the sharing economy: facing the Airbnb menace. Journal of Revenue and Pricing Management. 2016; 15(6): 509-515. doi: 10.1057/s41272-016-0071-z

27. Rodríguez-Algeciras A, Talón-Ballestero P. An empirical analysis of the effectiveness of hotel Revenue Management in five-star hotels in Barcelona, Spain. Journal of Hospitality and Tourism Management. 2017; 32: 24-34. doi: 10.1016/j.jhtm.2017.04.004

28. Heo CY, Lee S. Application of revenue management practices to the theme park industry. International Journal of Hospitality Management. 2009; 28(3): 446-453. doi: 10.1016/j.ijhm.2009.02.001

29. Wirtz J, Kimes SE, Theng JHP, et al. Revenue management: Resolving potential customer conflicts. Journal of Revenue and Pricing Management. 2003; 2(3): 216-226. doi: 10.1057/palgrave.rpm.5170068

30. Bienhaus F, Haddud A. Procurement 4.0: factors influencing the digitisation of procurement and supply chains. Business Process Management Journal. 2018; 24(4): 965-984. doi: 10.1108/bpmj-06-2017-0139

31. Toorajipour R, Sohrabpour V, Nazarpour A, et al. Artificial intelligence in supply chain management: A systematic literature review. Journal of Business Research. 2021; 122: 502-517. doi: 10.1016/j.jbusres.2020.09.009

32. Guo X, Ling L, Dong Y, et al. Cooperation contract in tourism supply chains: the optimal pricing strategy of hotels for cooperative third party strategic websites. Annals of Tourism Research. 2013; 41: 20-41. doi: 10.1016/j.annals.2012.11.009

33. Shee H, Miah SJ, Fairfield L, et al. The impact of cloud-enabled process integration on supply chain performance and firm sustainability: the moderating role of top management. Supply Chain Management: An International Journal. 2018; 23(6): 500-517. doi: 10.1108/scm-09-2017-0309

34. Kimes SE. The future of hotel revenue management. Journal of Revenue and Pricing Management. 2011; 10(1): 62-72. doi: 10.1057/rpm.2010.47

35. Abrate G, Viglia G. Strategic and tactical price decisions in hotel revenue management. Tourism Management. 2016; 55: 123-132. doi: 10.1016/j.tourman.2016.02.006

36. Abrate G, Nicolau JL, Viglia G. The impact of dynamic price variability on revenue maximization. Tourism Management. 2019; 74: 224-233. doi: 10.1016/j.tourman.2019.03.013

37. Ye F, Lu M, Li Y. Optimal overbooking decision for a “Hotel + OTA” dual‐channel supply chain. International Transactions in Operational Research. 2017; 26(3): 999-1024. doi: 10.1111/itor.12486

38. Lado-Sestayo R, Vivel-Búa M, Otero-González L. Determinants of TRevPAR: hotel, management and tourist destination. International Journal of Contemporary Hospitality Management. 2017; 29(12): 3138-3156. doi: 10.1108/ijchm-03-2016-0151

39. Wang D, Zha Y, Bi G, et al. A Meta-analysis of Satisfaction-Loyalty Relationship in E-Commerce: Sample and Measurement Characteristics as Moderators. Wireless Personal Communications. 2018; 103(1): 941-962. doi: 10.1007/s11277-018-5488-9

40. Lorna Wang X, Bowie D. Revenue management: the impact on business‐to‐business relationships. Journal of Services Marketing. 2009; 23(1): 31-41. doi: 10.1108/08876040910933075

41. Ivanov S. Hotel Revenue Management - From Theory to Practice. Varna: Zangador Ltd; 2014.

42. Ghose A, Ipeirotis PG, Li B. Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue. Management Science. 2014; 60(7): 1632-1654. doi: 10.1287/mnsc.2013.1828

43. Zhong Y, Guo F, Wang Z, et al. Coordination Analysis of Revenue Sharing in E-Commerce Logistics Service Supply Chain With Cooperative Distribution. SAGE Open. 2019; 9(3): 215824401987053. doi: 10.1177/2158244019870536

44. Alelaiwi A. A collaborative resource management for big IoT data processing in Cloud. Cluster Computing. 2017; 20(2): 1791-1799. doi: 10.1007/s10586-017-0839-y

45. Huang J, Li S, Chen Y. Revenue-optimal task scheduling and resource management for IoT batch jobs in mobile edge computing. Peer-to-Peer Networking and Applications. 2020; 13(5): 1776-1787. doi: 10.1007/s12083-020-00880-y

46. Stauffer JM, Megahed A, Sriskandarajah C. Elasticity management for capacity planning in software as a service cloud computing. IISE Transactions. 2020; 53(4): 407-424. doi: 10.1080/24725854.2020.1810368

47. Wagner Mainardes E, de Almeida CM, de-Oliveira M. e-Commerce: an analysis of the factors that antecede purchase intentions in an emerging market. Journal of International Consumer Marketing. 2019; 31(5): 447-468. doi: 10.1080/08961530.2019.1605643

48. Hua N, Hight S, Wei W, et al. The power of e-commerce. International Journal of Contemporary Hospitality Management. 2019; 31(4): 1906-1923. doi: 10.1108/ijchm-02-2018-0168

49. Ramírez-Correa PE, Grandón EE, Arenas-Gaitán J. Assessing differences in customers’ personal disposition to e-commerce. Industrial Management & Data Systems. 2019; 119(4): 792-820. doi: 10.1108/imds-07-2018-0280

50. Lee YJ, Ha S, Johnson Z. Antecedents and consequences of flow state in e-commerce. Journal of Consumer Marketing. 2019; 36(2): 264-275. doi: 10.1108/jcm-10-2015-1579

51. Capó Parrilla J, Riera Font A, Rosselló Nadal J. Accommodation determinants of seasonal patterns. Annals of Tourism Research. 2007; 34(2): 422-436. doi: 10.1016/j.annals.2006.10.002

52. Dospinescu O, Dospinescu N, Bostan I. Determinants of e-commerce satisfaction: a comparative study between Romania and Moldova. Kybernetes. 2021; 51(13): 1-17. doi: 10.1108/k-03-2021-0197

53. Sainaghi R. RevPAR determinants of individual hotels. International Journal of Contemporary Hospitality Management. 2011; 23(3): 297-311. doi: 10.1108/09596111111122497

54. Yang Z, Cai J. Do regional factors matter? Determinants of hotel industry performance in China. Tourism Management. 2016; 52: 242-253. doi: 10.1016/j.tourman.2015.06.024

55. Lei Y, Jasin S. Real-Time Dynamic Pricing for Revenue Management with Reusable Resources, Advance Reservation, and Deterministic Service Time Requirements. Operations Research. 2020; 68(3): 676-685. doi: 10.1287/opre.2019.1906

56. Dwivedi YK, Ismagilova E, Hughes DL, et al. Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management. 2021; 59: 102168. doi: 10.1016/j.ijinfomgt.2020.102168

57. Kim WG, Park SA. Social media review rating versus traditional customer satisfaction. International Journal of Contemporary Hospitality Management. 2017; 29(2): 784-802. doi: 10.1108/ijchm-11-2015-0627

58. Yadav M, Rahman Z. The influence of social media marketing activities on customer loyalty. Benchmarking: An International Journal. 2018; 25(9): 3882-3905. doi: 10.1108/bij-05-2017-0092

59. Maenhaut PJ, Volckaert B, Ongenae V, et al. Resource Management in a Containerized Cloud: Status and Challenges. Journal of Network and Systems Management. 2019; 28(2): 197-246. doi: 10.1007/s10922-019-09504-0

60. Zhang H, Chen G, Li X. Resource Management in Cloud Computing with Optimal Pricing Policies. Computer Systems Science and Engineering. 2019; 34(4): 249-254. doi: 10.32604/csse.2019.34.249

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Bernardo P. de Bastos

License URL: https://creativecommons.org/licenses/by/4.0/


This site is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).