International Journal of

ADVANCED AND APPLIED SCIENCES

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

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 Volume 9, Issue 10 (October 2022), Pages: 135-148

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 Original Research Paper

 An integrated fuzzy AHP and fuzzy TOPSIS approach in the hotel industry

 Author(s): Nguyen Quang Vinh 1, Quang Hung Do 2, *, Luc Manh Hien 1

 Affiliation(s):

 1Faculty of Business Administration, University of Labour Social Affairs, Hanoi, Vietnam
 2Faculty of Information Technology, University of Transport Technology, Hanoi, Vietnam

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-8937-5102

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2022.10.017

 Abstract:

In the context of the COVID-19 epidemic, the turnover intention rate is increasing day by day. The objective of this study is to identify the main factors influencing turnover intention in the Vietnam hospitality industry. The study utilizes the fuzzy AHP and fuzzy TOPSIS model to evaluate the dimensions of the hotel employee turnover intention model. The performance evaluation for employee turnover intention includes Work Itself, Supervision, Coworkers relationships, Salary and Benefit, Career Opportunities, Job Stress, Perceived Risk, and Job Insecurity. These dimensions generate a final evaluation for ranking priority among the employee turnover intention of the proposed model. The importance level of dimensions is evaluated by 17 experts, and decision-making is processed through the fuzzy concept and fuzzy environment. From the critical fuzzy AHP and fuzzy TOPSIS analysis results, the study shows that the most important dimensions of employee turnover intention in the hotel industry model are Salary and Benefit. Moreover, the results indicate that the least important dimensions are the Co-workers' Relationship, Supervision, and Career Opportunities. The second group dimensions that impact employee turnover in the context of the COVID-19 epidemic are Work Itself, Job Stress Perceived Risk, and Job Insecurity. Moreover, this study’s results show that three-star hotels have the highest value of turnover intention; the second is the Four and Five-star hotels, and the third is the Below three-star hotels. The results of the study will help businesses in the fields of hospitality have a more comprehensive view of human resource management activities. Especially, this study provides implications for hotel managers in understanding employee behavior and their turnover intention during the context of the COVID-19 epidemic based on the eight proposed dimensions.

 © 2022 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: Fuzzy AHP, Fuzzy TOPSIS, Employee turnover, Hotel industry

 Article History: Received 1 April 2022, Received in revised form 8 July 2022, Accepted 14 July 2022

 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:

 Vinh NQ, Do QH, and Hien LM (2022). An integrated fuzzy AHP and fuzzy TOPSIS approach in the hotel industry. International Journal of Advanced and Applied Sciences, 9(10): 135-148

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 Figures

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 Tables

 Table 1 Table 2 Table 3 Table 4 Table 5 Table 6 Table 7 Table 8 Table 9 Table 10 Table 11 Table 12 Table 13 Table 14 Table 15 Table 16

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 References (52)

  1. Akova O, Cetin G, and Cifci İ (2015). The relation between demographic factors and the turnover intention in pre-opening hotel businesses. Procedia-Social and Behavioral Sciences, 207: 377-384. https://doi.org/10.1016/j.sbspro.2015.10.177   [Google Scholar]
  2. Ali A, Abbas L, Shafiq M, Bashir AK, Afzal MK, Liaqat HB, Siddiqi MH, and Kwak KS (2019). Hybrid fuzzy logic scheme for efficient channel utilization in cognitive radio networks. IEEE Access, 7: 24463-24476. https://doi.org/10.1109/ACCESS.2019.2900233   [Google Scholar]
  3. Amin Z and Akbar KP (2013). Analysis of psychological well-being and turnover intentions of hotel employees: An empirical study. International Journal of Innovation and Applied Studies, 3(3): 662-671.   [Google Scholar]
  4. Ariza-Montes A, Hernández-Perlines F, Han H, and Law R (2019). Human dimension of the hospitality industry: Working conditions and psychological well-being among European servers. Journal of Hospitality and Tourism Management, 41: 138-147. https://doi.org/10.1016/j.jhtm.2019.10.013   [Google Scholar]
  5. Aykan E (2014). Effects of perceived psychological contract breach on turnover intention: Intermediary role of loneliness perception of employees. Procedia-Social and Behavioral Sciences, 150: 413-419. https://doi.org/10.1016/j.sbspro.2014.09.040   [Google Scholar]
  6. Belete AK (2018). Turnover intention influencing factors of employees: An empirical work review. Journal of Entrepreneurship and Organization Management, 7(3): 1-7.   [Google Scholar]
  7. Çalık A (2021). A novel Pythagorean fuzzy AHP and fuzzy TOPSIS methodology for green supplier selection in the Industry 4.0 era. Soft Computing, 25(3): 2253-2265. https://doi.org/10.1007/s00500-020-05294-9   [Google Scholar]
  8. Chen CT (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114(1): 1-9. https://doi.org/10.1016/S0165-0114(97)00377-1   [Google Scholar]
  9. Chen MF and Tzeng GH (2004). Combining grey relation and TOPSIS concepts for selecting an expatriate host country. Mathematical and Computer Modelling, 40(13): 1473-1490. https://doi.org/10.1016/j.mcm.2005.01.006   [Google Scholar]
  10. Chen X, Cheng ZF, and Kim GB (2020). Make it memorable: Tourism experience, fun, recommendation and revisit intentions of Chinese outbound tourists. Sustainability, 12(5): 1904. https://doi.org/10.3390/su12051904   [Google Scholar]
  11. Cho YJ and Lewis GB (2012). Turnover intention and turnover behavior: Implications for retaining federal employees. Review of Public Personnel Administration, 32(1): 4-23. https://doi.org/10.1177/0734371X11408701   [Google Scholar]
  12. Darvishmotevali M and Ali F (2020). Job insecurity, subjective well-being and job performance: The moderating role of psychological capital. International Journal of Hospitality Management, 87: 102462. https://doi.org/10.1016/j.ijhm.2020.102462   [Google Scholar]
  13. Emiroğlu BD, Akova O, and Tanrıverdi H (2015). The relationship between turnover intention and demographic factors in hotel businesses: A study at five star hotels in Istanbul. Procedia-Social and Behavioral Sciences, 207: 385-397. https://doi.org/10.1016/j.sbspro.2015.10.108   [Google Scholar]
  14. Goyal S, Garg D, and Luthra S (2021). Sustainable production and consumption: Analysing barriers and solutions for maintaining green tomorrow by using fuzzy-AHP–fuzzy-TOPSIS hybrid framework. Environment, Development and Sustainability, 23(11): 16934-16980. https://doi.org/10.1007/s10668-021-01357-5   [Google Scholar]
  15. Gumus AT (2009). Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology. Expert Systems with Applications, 36(2): 4067-4074. https://doi.org/10.1016/j.eswa.2008.03.013   [Google Scholar]
  16. Haldorai K, Kim WG, Pillai SG, Park TE, and Balasubramanian K (2019). Factors affecting hotel employees’ attrition and turnover: Application of pull-push-mooring framework. International Journal of Hospitality Management, 83: 46-55. https://doi.org/10.1016/j.ijhm.2019.04.003   [Google Scholar]
  17. Hassanzadeh MR and Valmohammadi C (2021). Evaluation and ranking of the banks and financial institutes using fuzzy AHP and TOPSIS techniques. International Journal of Operational Research, 40(3): 297-317. https://doi.org/10.1504/IJOR.2021.114301   [Google Scholar]
  18. Hemdi MA and Nasurdin AM (2006). Predicting turnover intentions of hotel employees: The influence of employee development human resource management practices and trust in organization. Gadjah Mada International Journal of Business, 8(1): 21-42. https://doi.org/10.22146/gamaijb.5625   [Google Scholar]
  19. Hsieh AT, Yen CH, and Chin KC (2004). Participative customers as partial employees and service provider workload. International Journal of Service Industry Management, 15(2): 187-199. https://doi.org/10.1108/09564230410532501   [Google Scholar]
  20. Jung HS, Jung YS, and Yoon HH (2021). COVID-19: The effects of job insecurity on the job engagement and turnover intent of deluxe hotel employees and the moderating role of generational characteristics. International Journal of Hospitality Management, 92: 102703. https://doi.org/10.1016/j.ijhm.2020.102703   [Google Scholar] PMid:33041428 PMCid:PMC7538393
  21. Kahraman C, Öztayşi B, Sarı İU, and Turanoğlu E (2014). Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowledge-Based Systems, 59: 48-57. https://doi.org/10.1016/j.knosys.2014.02.001   [Google Scholar]
  22. Karatepe OM, Rezapouraghdam H, and Hassannia R (2020). Job insecurity, work engagement and their effects on hotel employees’ non-green and nonattendance behaviors. International Journal of Hospitality Management, 87: 102472. https://doi.org/10.1016/j.ijhm.2020.102472   [Google Scholar]
  23. Khan N, Hassan AU, Fahad S, and Naushad M (2020). Factors affecting tourism industry and its impacts on global economy of the world. https://doi.org/10.2139/ssrn.3559353   [Google Scholar]
  24. Kitchenham B, Brereton OP, Budgen D, Turner M, Bailey J, and Linkman S (2009). Systematic literature reviews in software engineering: A systematic literature review. Information and Software Technology, 51(1): 7-15. https://doi.org/10.1016/j.infsof.2008.09.009   [Google Scholar]
  25. Koo B, Curtis C, and Ryan B (2021). Examining the impact of artificial intelligence on hotel employees through job insecurity perspectives. International Journal of Hospitality Management, 95: 102763. https://doi.org/10.1016/j.ijhm.2020.102763   [Google Scholar]
  26. Kulachai W and Amaraphibal A (2017). Developing a causal model of turnover intention of police officers in the eastern region of Thailand. International Journal of Arts and Sciences, 10(1): 473-486.   [Google Scholar]
  27. Labrague LJ, Gloe D, McEnroe DM, Konstantinos K, and Colet P (2018). Factors influencing turnover intention among registered nurses in Samar Philippines. Applied Nursing Research, 39: 200-206. https://doi.org/10.1016/j.apnr.2017.11.027   [Google Scholar] PMid:29422159
  28. Li C, Ashraf SF, Shahzad F, Bashir I, Murad M, Syed N, and Riaz M (2020). Influence of knowledge management practices on entrepreneurial and organizational performance: A mediated-moderation model. Frontiers in Psychology, 11: 577106. https://doi.org/10.3389/fpsyg.2020.577106   [Google Scholar] PMid:33343453 PMCid:PMC7744290
  29. Li JJ, Bonn MA, and Ye BH (2019). Hotel employee's artificial intelligence and robotics awareness and its impact on turnover intention: The moderating roles of perceived organizational support and competitive psychological climate. Tourism Management, 73: 172-181. https://doi.org/10.1016/j.tourman.2019.02.006   [Google Scholar]
  30. Li JJ, Kim WG, and Zhao XR (2017). Multilevel model of management support and casino employee turnover intention. Tourism Management, 59: 193-204. https://doi.org/10.1016/j.tourman.2016.08.006   [Google Scholar]
  31. Limyothin P and Trichun C (2012). The structural equation model of factors influencing the hotel staff in Thailand's intention to quit. International Journal of Human Resource Studies, 2(3): 22-35. https://doi.org/10.5296/ijhrs.v2i3.2078   [Google Scholar]
  32. Lyu HM, Zhou WH, Shen SL, and Zhou AN (2020). Inundation risk assessment of metro system using AHP and TFN-AHP in Shenzhen. Sustainable Cities and Society, 56: 102103. https://doi.org/10.1016/j.scs.2020.102103   [Google Scholar]
  33. Mittal S and Dhar RL (2016). Effect of green transformational leadership on green creativity: A study of tourist hotels. Tourism Management, 57: 118-127. https://doi.org/10.1016/j.tourman.2016.05.007   [Google Scholar]
  34. Mohamed LM (2016). Assessing the effects of transformational leadership: A study on Egyptian hotel employees. Journal of Hospitality and Tourism Management, 27: 49-59. https://doi.org/10.1016/j.jhtm.2016.04.001   [Google Scholar]
  35. Murata K, Wakabayashi K, and Watanabe A (2014). Study on and instrument to assess knowledge supply chain systems using advanced Kaizen activity in SMEs. Supply Chain Forum: An International Journal, 15(2): 20-32. https://doi.org/10.1080/16258312.2014.11517339   [Google Scholar]
  36. Nădăban S, Dzitac S, and Dzitac I (2016). Fuzzy TOPSIS: A general view. Procedia Computer Science, 91: 823-831. https://doi.org/10.1016/j.procs.2016.07.088   [Google Scholar]
  37. Park J and Gursoy D (2012). Generation effects on work engagement among US hotel employees. International Journal of Hospitality Management, 31(4): 1195-1202. https://doi.org/10.1016/j.ijhm.2012.02.007   [Google Scholar]
  38. Park J and Min HK (2020). Turnover intention in the hospitality industry: A meta-analysis. International Journal of Hospitality Management, 90: 102599. https://doi.org/10.1016/j.ijhm.2020.102599   [Google Scholar]
  39. Peng X, Lee S, and Lu Z (2020). Employees' perceived job performance, organizational identification, and pro-environmental behaviors in the hotel industry. International Journal of Hospitality Management, 90: 102632. https://doi.org/10.1016/j.ijhm.2020.102632   [Google Scholar]
  40. Pramanik D, Haldar A, Mondal SC, Naskar SK, and Ray A (2017). Resilient supplier selection using AHP-TOPSIS-QFD under a fuzzy environment. International Journal of Management Science and Engineering Management, 12(1): 45-54. https://doi.org/10.1080/17509653.2015.1101719   [Google Scholar]
  41. Presti AL and Nonnis M (2012). Moderated effects of job insecurity on work engagement and distress. Testing, Psychometrics, Methodology in Applied Psychology, 19(2): 97-113.   [Google Scholar]
  42. Rasheed MI, Okumus F, Weng Q, Hameed Z, and Nawaz MS (2020). Career adaptability and employee turnover intentions: The role of perceived career opportunities and orientation to happiness in the hospitality industry. Journal of Hospitality and Tourism Management, 44: 98-107. https://doi.org/10.1016/j.jhtm.2020.05.006   [Google Scholar]
  43. Saaty TL and Vargas LG (1980). Hierarchical analysis of behavior in competition: Prediction in chess. Behavioral Science, 25(3): 180-191. https://doi.org/10.1002/bs.3830250303   [Google Scholar]
  44. Shaw K, Shankar R, Yadav SS, and Thakur LS (2012). Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain. Expert Systems with Applications, 39(9): 8182-8192. https://doi.org/10.1016/j.eswa.2012.01.149   [Google Scholar]
  45. Sirisawat P and Kiatcharoenpol T (2018). Fuzzy AHP-TOPSIS approaches to prioritizing solutions for reverse logistics barriers. Computers and Industrial Engineering, 117: 303-318. https://doi.org/10.1016/j.cie.2018.01.015   [Google Scholar]
  46. Stamolampros P, Korfiatis N, Chalvatzis K, and Buhalis D (2019). Job satisfaction and employee turnover determinants in high contact services: Insights from employees’ online reviews. Tourism Management, 75: 130-147. https://doi.org/10.1016/j.tourman.2019.04.030   [Google Scholar]
  47. Sun CC (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Systems with Applications, 37(12): 7745-7754. https://doi.org/10.1016/j.eswa.2010.04.066   [Google Scholar]
  48. Sun S, Lee PC, Law R, and Hyun SS (2020). An investigation of the moderating effects of current job position level and hotel work experience between technology readiness and technology acceptance. International Journal of Hospitality Management, 90: 102633. https://doi.org/10.1016/j.ijhm.2020.102633   [Google Scholar]
  49. Wang C, Xu J, Zhang TC, and Li QM (2020). Effects of professional identity on turnover intention in China's hotel employees: The mediating role of employee engagement and job satisfaction. Journal of Hospitality and Tourism Management, 45: 10-22. https://doi.org/10.1016/j.jhtm.2020.07.002   [Google Scholar]
  50. Yaghoobi T (2018). Prioritizing key success factors of software projects using fuzzy AHP. Journal of Software: Evolution and Process, 30(1): e1891. https://doi.org/10.1002/smr.1891   [Google Scholar]
  51. Yang JT, Wan CS, and Fu YJ (2012). Qualitative examination of employee turnover and retention strategies in international tourist hotels in Taiwan. International Journal of Hospitality Management, 31(3): 837-848. https://doi.org/10.1016/j.ijhm.2011.10.001   [Google Scholar]
  52. Zadeh LA (1965). Electrical engineering at the crossroads. IEEE Transactions on Education, 8(2): 30-33. https://doi.org/10.1109/TE.1965.4321890   [Google Scholar]