International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12
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 Volume 11, Issue 1 (January 2024), Pages: 10-19

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 Review Paper

A review of recent advances in Internet of Things-based customer relationship management to improve customer satisfaction and loyalty in the airline industry

 Author(s): 

 Hussain Almansour 1, 2, *, Suhuai Luo 1, Yuqing Lin 1

 Affiliation(s):

 1School of Information and Physical Sciences, College of Engineering Science and Environment, University of Newcastle, Callaghan, Australia
 2Department of Management and Information Systems, College of Business Administration, University of Ha'il, Ha’il, Saudi Arabia

 Full text

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0009-0002-5713-8513

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2024.01.002

 Abstract

Airlines use strategies to build and keep profitable, loyal customers through customer relationship management (CRM). However, as customer needs change, CRM systems must also change. With the Internet of Things (IoT) offering new ways to improve how customers experience services, airlines are combining IoT with their CRM systems. The connections airlines have with partners, airports, hotels, and banks can help meet these changing customer needs. However, past studies have not fully looked into how IoT-enhanced CRM helps make customers more satisfied and loyal or how airlines' connections with others play a part. Therefore, this study looks into how IoT-enhanced CRM is improving customer satisfaction and loyalty in airlines. It also examines how airlines' connections with others can support the relationship between IoT-enhanced CRM and customer satisfaction and loyalty. The study suggests a model and makes suggestions about the importance of IoT-enhanced CRM in making customers more satisfied and loyal. It also outlines how to test these suggestions and suggests directions for future research.

 © 2023 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Airlines industry, Customer satisfaction, Customer loyalty, Customer relationship management, Internet of Things

 Article history

 Received 25 July 2023, Received in revised form 3 December 2023, Accepted 13 December 2023

 Acknowledgment 

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Almansour H, Luo S, and Lin Y (2024). A review of recent advances in Internet of Things-based customer relationship management to improve customer satisfaction and loyalty in the airline industry. International Journal of Advanced and Applied Sciences, 11(1): 10-19

 Permanent Link to this page

 Figures

 Fig. 1

 Tables

 Table 1 Table 2 Table 3 

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 References (53)

  1. Abu Ghazaleh M and Zabadi AM (2020). Promoting a revamped CRM through internet of things and big data: An AHP-based evaluation. International Journal of Organizational Analysis, 28(1): 66-91. https://doi.org/10.1108/IJOA-12-2018-1602   [Google Scholar]
  2. Amankwah‐Amoah J and Debrah YA (2011). The evolution of alliances in the global airline industry: A review of the African experience. Thunderbird International Business Review, 53(1): 37-50. https://doi.org/10.1002/tie.20388   [Google Scholar]
  3. Archer S (2007). Financial and external reporting research: The broadening corporate governance challenge: A comment. Accounting and Business Research, 37(1): 55-58. https://doi.org/10.1080/00014788.2007.9730058   [Google Scholar]
  4. Aytaç K and Korçak Ö (2021). IoT based intelligence for proactive waste management in quick service restaurants. Journal of Cleaner Production, 284: 125401. https://doi.org/10.1016/j.jclepro.2020.125401   [Google Scholar]
  5. Bajaj P, Anwar I, and Saleem I (2022). An impact of adoption of Internet of Things (IoT) on customer relationship management (CRM) in banking sector of India. In: Gurinder S, Maurya A, and Goel R (Eds.), Integrating new technologies in international business: Opportunities and challenges. CRC Press, Taylor and Francis, Abingdon, UK. https://doi.org/10.1201/9781003130352-2   [Google Scholar]
  6. Bhatia M and Ahanger TA (2021). Intelligent decision-making in smart food industry: Quality perspective. Pervasive and Mobile Computing, 72: 101304. https://doi.org/10.1016/j.pmcj.2020.101304   [Google Scholar]
  7. Bingemer S (2018). Back to the future with IATA NDC? Critical turning points in the history of airline distribution. Journal of Tourism Futures, 4(3): 205-217. https://doi.org/10.1108/JTF-05-2018-0032   [Google Scholar]
  8. Burak MF and Küsbeci P (2023). Internet of things and aviation: A bibliometric and visualization analysis. Kybernetes. https://doi.org/10.1108/K-04-2023-0664   [Google Scholar]
  9. Çiftçi ME and Özkır V (2020). Optimising flight connection times in airline bank structure through Simulated Annealing and Tabu Search algorithms. Journal of Air Transport Management, 87: 101858. https://doi.org/10.1016/j.jairtraman.2020.101858   [Google Scholar]
  10. Eskerod P, Hollensen S, Morales-Contreras MF, and Arteaga-Ortiz J (2019). Drivers for pursuing sustainability through IoT technology within high-end hotels-An exploratory study. Sustainability, 11(19): 5372. https://doi.org/10.3390/su11195372   [Google Scholar]
  11. Haass R, Dittmer P, Veigt M, and Lütjen M (2015). Reducing food losses and carbon emission by using autonomous control–A simulation study of the intelligent container. International Journal of Production Economics, 164: 400-408. https://doi.org/10.1016/j.ijpe.2014.12.013   [Google Scholar]
  12. Hammoud GA, Tawfik HF, and Fahmy RS (2018). Development of airlines’ distribution capabilities. Journal of Tourism and Hospitality Management, 6(1): 66-80. https://doi.org/10.15640/jthm.v6n1a7   [Google Scholar]
  13. Hao F and Chon KKS (2022). Contactless service in hospitality: Bridging customer equity, experience, delight, satisfaction, and trust. International Journal of Contemporary Hospitality Management, 34(1): 113-134. https://doi.org/10.1108/IJCHM-05-2021-0559   [Google Scholar]
  14. He Y (2020). Study on practical IoT applications in civil aviation industry. In the 6th International Conference on Artificial Intelligence and Security, Springer, Hohhot, China, Part II, 6: 160-169. https://doi.org/10.1007/978-981-15-8086-4_15   [Google Scholar]
  15. Heale R and Forbes D (2013). Understanding triangulation in research. Evidence-Based Nursing, 16(4): 98-98. https://doi.org/10.1136/eb-2013-101494   [Google Scholar] PMid:23943076
  16. Henseler J, Ringle CM, and Sarstedt M (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43: 115-135. https://doi.org/10.1007/s11747-014-0403-8   [Google Scholar]
  17. Jamshed S (2014). Qualitative research method-interviewing and observation. Journal of Basic and Clinical Pharmacy, 5(4): 87-88. https://doi.org/10.4103/0976-0105.141942   [Google Scholar] PMid:25316987 PMCid:PMC4194943
  18. Keivanpour S and Kadi DA (2019). The effect of “Internet of Things” on aircraft spare parts inventory management. IFAC-Papers Online, 52(13): 2343-2347. https://doi.org/10.1016/j.ifacol.2019.11.556   [Google Scholar]
  19. Khan N and Efthymiou M (2021). The use of biometric technology at airports: The case of customs and border protection (CBP). International Journal of Information Management Data Insights, 1(2): 100049. https://doi.org/10.1016/j.jjimei.2021.100049   [Google Scholar]
  20. Kim T, Jo H, Yhee Y, and Koo C (2022). Robots, artificial intelligence, and service automation (RAISA) in hospitality: Sentiment analysis of YouTube streaming data. Electronic Markets, 32(1): 259-275. https://doi.org/10.1007/s12525-021-00514-y   [Google Scholar]
  21. Kumar V and Reinartz W (2018). Customer relationship management. Springer, Berlin, Germany. https://doi.org/10.1007/978-3-662-55381-7   [Google Scholar]
  22. Lazzarini SG (2007). The impact of membership in competing alliance constellations: Evidence on the operational performance of global airlines. Strategic Management Journal, 28(4): 345-367. https://doi.org/10.1002/smj.587   [Google Scholar]
  23. Lien CH, Hsu MK, Shang JZ, and Wang SW (2021). Self-service technology adoption by air passengers: A case study of fast air travel services in Taiwan. The Service Industries Journal, 41(9-10): 671-695. https://doi.org/10.1080/02642069.2019.1569634   [Google Scholar]
  24. Lim J (2021). How blockchain and IoT-based decentralized system solves ULD rental problem of airlines. Archives of Business Research, 9(10): 331-344. https://doi.org/10.14738/abr.910.11164   [Google Scholar]
  25. Mokha AK and Kumar P (2022). Examining the interconnections between E-CRM, customer experience, customer satisfaction and customer loyalty: A mediation approach. Journal of Electronic Commerce in Organizations, 20(1): 1-21. https://doi.org/10.4018/JECO.292474   [Google Scholar]
  26. Moro S, Lopes RJ, Esmerado J, and Botelho M (2020). Service quality in airport hotel chains through the lens of online reviewers. Journal of Retailing and Consumer Services, 56: 102193. https://doi.org/10.1016/j.jretconser.2020.102193   [Google Scholar]
  27. Nguyen B and Simkin L (2017). The internet of things (IoT) and marketing: The state of play, future trends and the implications for marketing. Journal of Marketing Management, 33(1-2): 1-6. https://doi.org/10.1080/0267257X.2016.1257542   [Google Scholar]
  28. Ordóñez MD, Gómez A, Ruiz M, Ortells JM, Niemi-Hugaerts H, Juiz C, and Butler TA (2020). IoT technologies and applications in tourism and travel industries. In: Vermesan O and Bacquet J (Eds.), Internet of things–The call of the edge: 341-360. 1st Edition, River Publishers, New York, USA. https://doi.org/10.1201/9781003338611-8   [Google Scholar]
  29. Pappas N, Caputo A, Pellegrini MM, Marzi G, and Michopoulou E (2021). The complexity of decision-making processes and IoT adoption in accommodation SMEs. Journal of Business Research, 131: 573-583. https://doi.org/10.1016/j.jbusres.2021.01.010   [Google Scholar]
  30. Pelet JÉ, Lick E, and Taieb B (2021). The internet of things in upscale hotels: Its impact on guests’ sensory experiences and behavior. International Journal of Contemporary Hospitality Management, 33(11): 4035-4056. https://doi.org/10.1108/IJCHM-02-2021-0226   [Google Scholar]
  31. Pillai RG and Devrakhyani P (2020). A data driven approach for customer relationship management for airlines with Internet of Things and artificial intelligence. In: Sharma SK, Dwivedi YK, Metri B, and Rana NP (Eds.), The re-imagining diffusion and adoption of information technology and systems: A continuing conversation: IFIP WG 8.6 international conference on transfer and diffusion of IT: 657-672. Springer International Publishing, Tiruchirappalli, India. https://doi.org/10.1007/978-3-030-64849-7_58   [Google Scholar]
  32. Rapp R (2000). Customer relationship marketing in the airline industry. In: Hennig-Thurau T and Hansen U (Eds.), Relationship marketing: Gaining competitive advantage through customer satisfaction and customer retention: 317-331. Springer, Berlin, Germany. https://doi.org/10.1007/978-3-662-09745-8_18   [Google Scholar]
  33. Raynes C and Tsui KWH (2019). Review of airline-within-airline strategy: Case studies of the Singapore airlines group and Qantas group. Case Studies on Transport Policy, 7(1): 150-165. https://doi.org/10.1016/j.cstp.2018.12.008   [Google Scholar] PMid:32501419 PMCid:PMC7148671
  34. Rejeb A, Keogh JG, and Treiblmaier H (2019). Leveraging the Internet of Things and blockchain technology in supply chain management. Future Internet, 11(7): 161. https://doi.org/10.3390/fi11070161   [Google Scholar]
  35. Sarstedt M, Ringle CM, Smith D, Reams R, and Hair JF (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business Strategy, 5(1): 105-115. https://doi.org/10.1016/j.jfbs.2014.01.002   [Google Scholar]
  36. Sharma S, Rishi OP, and Sharma A (2021). IoTeST: IoT-enabled smart tourism-Shaping the future of tourism. In: Rathore VS, Dey N, Piuri V, Babo R, Polkowski Z, and Tavares JMRS (Eds.), Rising threats in expert applications and solutions: Advances in intelligent systems and computing: 569-576. Volume 1187, Springer, Singapore, Singapore. https://doi.org/10.1007/978-981-15-6014-9_67   [Google Scholar]
  37. Shoukry A and Aldeek F (2020). Attributes prediction from IoT consumer reviews in the hotel sectors using conventional neural network: Deep learning techniques. Electronic Commerce Research, 20: 223-240. https://doi.org/10.1007/s10660-019-09373-4   [Google Scholar]
  38. Singh A, Singh HP, Alam F, and Agrawal V (2022). Role of education, training, and e-learning in sustainable employment generation and social empowerment in Saudi Arabia. Sustainability, 14(14): 8822. https://doi.org/10.3390/su14148822   [Google Scholar]
  39. Singh HP and Alhamad IA (2021). Deciphering key factors impacting online hotel ratings through the lens of two-factor theory: A case of hotels in the Makkah city of Saudi Arabia. International Transaction Journal of Engineering, Management, and Applied Sciences and Technologies, 12(8): 1-12.   [Google Scholar]
  40. Singh HP and Alodaynan A (2023). The role of educational technology in developing the cognitive and communicative skills of university students: A Saudi Arabian case. International Journal of Advanced and Applied Sciences, 10(7): 157-164. https://doi.org/10.21833/ijaas.2023.07.017   [Google Scholar]
  41. Stergiou C, Psannis KE, Kim BG, and Gupta B (2018). Secure integration of IoT and cloud computing. Future Generation Computer Systems, 78: 964-975. https://doi.org/10.1016/j.future.2016.11.031   [Google Scholar]
  42. Steven AB, Dong Y, and Dresner M (2012). Linkages between customer service, customer satisfaction and performance in the airline industry: Investigation of non-linearities and moderating effects. Transportation Research Part E: Logistics and Transportation Review, 48(4): 743-754. https://doi.org/10.1016/j.tre.2011.12.006   [Google Scholar]
  43. Tang H and Zhang H (2022). Study on IoT big data direction in civil aviation. In the International Conference on Artificial Intelligence and Security, Springer International Publishing, Qinghai, China: 300-309. https://doi.org/10.1007/978-3-031-06788-4_26   [Google Scholar]
  44. Tsang YP, Wu CH, Lam HY, Choy KL, and Ho GT (2021). Integrating Internet of Things and multi-temperature delivery planning for perishable food e-commerce logistics: A model and application. International Journal of Production Research, 59(5): 1534-1556. https://doi.org/10.1080/00207543.2020.1841315   [Google Scholar]
  45. Uncles MD, Dowling GR, and Hammond K (2003). Customer loyalty and customer loyalty programs. Journal of Consumer Marketing, 20(4): 294-316. https://doi.org/10.1108/07363760310483676   [Google Scholar]
  46. Ushakov D, Dudukalov E, Kozlova E, and Shatila K (2022). The Internet of Things impact on smart public transportation. Transportation Research Procedia, 63: 2392-2400. https://doi.org/10.1016/j.trpro.2022.06.275   [Google Scholar]
  47. Wang SW (2014). Do global airline alliances influence the passenger's purchase decision? Journal of Air Transport Management, 37: 53-59. https://doi.org/10.1016/j.jairtraman.2014.02.003   [Google Scholar]
  48. Wang SW and Hsu MK (2016). Airline co-branded credit cards-An application of the theory of planned behavior. Journal of Air Transport Management, 55: 245-254. https://doi.org/10.1016/j.jairtraman.2016.06.007   [Google Scholar]
  49. Yerpude S and Singhal TK (2018). Internet of things based customer relationship management: A research perspective. International Journal of Engineering and Technology, 7(2.7): 444-450. https://doi.org/10.14419/ijet.v7i2.7.10860   [Google Scholar]
  50. Zhang H (2020). Study on IoT solutions in smart airports. In the 6th International Conference on Artificial Intelligence and Security, Springer, Hohhot, China, 6: 170-179. https://doi.org/10.1007/978-981-15-8086-4_16   [Google Scholar]
  51. Zhang X and Yue WT (2019). Transformative value of the Internet of Things and pricing decisions. Electronic Commerce Research and Applications, 34: 100825. https://doi.org/10.1016/j.elerap.2019.100825   [Google Scholar]
  52. Zidi H, Hamani N, Laajili C, and Benaissa M (2022). A reconfiguration approach for a supply chain tracking platform. International Journal of Shipping and Transport Logistics, 14(1-2): 94-113. https://doi.org/10.1504/IJSTL.2022.120675   [Google Scholar]
  53. Zou L and Chen X (2017). The effect of code-sharing alliances on airline profitability. Journal of Air Transport Management, 58: 50-57. https://doi.org/10.1016/j.jairtraman.2016.09.006   [Google Scholar]