Carrasco, R. A., Sánchez-Fernández, J., Muñoz-Leiva, F., Francisca
Blasco, M., & Herrera-Viedma, E. (2017). Evaluation of the hotels
e-services quality under the user’s experience. Soft Computing, 21(4), 995-1011
For library access / research help in a similar topic: anyangoceline19@gmail.com
ABSTRACT
While the SERVQUAL scale has metwith greater
success than other initiatives in the Internet context, the various
adaptations and changes made to themeasurement scales
often make it difficult to compare results over time; a key
aspect that companies must take into account when implementing
theirmarket-oriented strategies. Evenwhen the time
horizons are the same, it is often impossible to aggregate the
results if different types of surveys and measurement scales
are used; a practice which is, at the same time, customary.
Moreover, the wide range of data collection methodologies
and measurement scales used by different companies in the
same market prevents comparing the results of surveys to
evaluate service quality. In this paper, we present a linguistic
multi-criteria decision-making model for aggregating these
heterogeneous questionnaires with opinions about quality of
the e-service offered by the hotels through several websites
taking into account the experience on WWW of such users.
The study found that all the scales have been slightly better
evaluated for Travel 2.0 websites in general that for the studied
hotel and established a ranking depending on the website
from best to worst score on all SERVQUAL scales: hotel Tripadvisor
webpage, hotel Facebook profile and official hotel
blog.
REFERENCES
Alonso S,Cabrerizo FJ,Chiclana F,Herrera F, Herrera-ViedmaE(2009)
Group decision-making with incomplete fuzzy linguistic preference
relations. Int J Intell Syst 24(2):201–222
Brasil RMN, García FC, Antonialli LM (2006) Qualidade percebida
em serviços: o caso dos clientes de correspondentes bancários da
Caixa Econômica Federal. Anais ENAMPAD, Brasil
Cabrerizo FJ, Herrera-Viedma E, Pedrycz W (2013) A method based
on PSO and granular computing of linguistic information to solve
group decision making problems defined in heterogeneous contexts.
Eur J Oper Res 230(3):624–633
Carrasco RA, Villar P, Hornos MJ, Herrera-Viedma E (2012) A linguistic
multicriteria decision making model applied to hotel service
quality. Int J Intell Syst 27:704–731
Carrillat FA, Jaramillo F, Mulki JP (2007) The validity of the
SERVQUAL and SERVPERF scales: a meta-analytic view of 17
years of research across five continents. Int J Serv Ind Manag
18(5):472–490
Chang-ping H, Sheng-li D (2006) Elements and models analysis of
website information architecture based on user experience. Inf Sci
3:321–325
Chiou HK, Tzeng GH, Cheng DC (2005) Evaluating sustainable fishing
development strategies using fuzzy MCDM approach. Omega
33:223–234
Connolly DJ,OlsenMD,MooreRG(1995) The Internet as a distribution
channel. Cornell Hotel Restaur Adm Q 39(4):42–54
Cristobal E, Flavián C, Guinaliu M (2007) Perceived e-service quality
(PeSQ):measurement validation and effects on consumer satisfaction
and web site loyalty. Manag Serv Qual 17(3):317–340
Cronin JJ, BradyMK, HultGTM(2000) Assessing the effects of quality,
value, and customer satisfaction on consumer behavioral intentions
in service environment. J Retail 76(2):193–218
Delgado M, Verdegay JL, Vila MA (1993) On aggregation operations
of linguistic labels. Int J Intell Syst 8:351–370
Deng W, Pei W (2009) Fuzzy neural based importance-performance
analysis for determining critical service attributes. Expert Syst
Appl 36(2):3774–3784
Gefen D (2002) Customer loyalty in E-commerce. J Assoc Inf Syst
3:27–51
González ME, Dentiste MR, Rhonda MW (2008) An alternative
approach in service quality: an e-banking case study. Qual Manag
J 15(1):41
Grönroos C (1996) Relationshipmarketing: strategic and tactical implications.
Manag Decis 34(3):5–14
Han SL, Baek S (2004) Antecedents and consequences of service quality
in online banking: an application of the SERVQUAL instrument.
Adv Consum Res 31:208–214
Herrera F, Herrera-Viedma E (2000) Linguistic decision analysis: steps
for solving decision problems under linguistic information. Fuzzy
Sets Syst 115(10):67–82
Herrera F, Martínez L (2000) A 2-tuple fuzzy linguistic representation
model for computing with words. IEEE Trans Fuzzy Syst
8(6):746–752
Herrera F, Herrera-Viedma E, Verdegay JL (1996) Direct approach
processes in group decision making using linguistic OWA operators.
Fuzzy Sets Syst 79:175–190
Herrera F, Alonso S, Chiclana F, Herrera-Viedma E (2009) Computing
with words in decision making: foundations, trends and prospects.
Fuzzy Optim Decis Mak 8(4):337–364
Herrera-Viedma E, Herrera F, Martínez L, Herrera JC, LópezAG(2004)
Incorporating filtering techniques in a fuzzy linguistic multi-agent
model for information gathering on the web. Fuzzy Sets Syst
148:61–83
HotelBotanico (2013) Official webpage of the hotel Botánico located
in Tenerife, Spain. http://www.hotelbotanico.com
HotelBotanicoBlog (2013) Official blog of the hotel Botánico located
in Tenerife, Spain. http://www.hotelbotanico.com/blog
HotelBotanicoFacebook (2013) Faceebook blog of the hotel Botánico
located in Tenerife, Spain. http://www.hotelbotanico.com/blog
HotelBotanicoTripadvisor (2013) Tripadvisor blog of the hotel
Botánico. http://www.tripadvisor.es/hotelbotanico
Hsu TH, Chang KC, Pan FC (2004) Service quality evaluation in
Taiwan’s international chain hotels using fuzzy MCDM. In: Proceedings
of 17th international conference on multiple criteria
decision making. Whistler British Columbia, Canada, pp 1–10
Huang TT, HuangWT (2005) Using statistical data and signed distance
of fuzzy aggregate evaluation method on application of measuring
service quality of hotel. Int J Inf Manag Sci 16(3):17–35
Janda S, Trocchia PJ, Gwinner KP (2002) Consumer perceptions of
Internet retail service quality. Int J Serv Ind Manag 13(5):412–431
Jun M, Cai S (2001) The key determinants of Internet banking service
quality: a content analysis. Int J Bank Mark 19(7):276–291
Kang GD, James J (2004) Service quality dimensions: an examination
of Gronroos’s service quality model. Manag Serv Qual 12(4):266–
277
Khan MS, Mahapatra SS (2009) Service quality evaluation in internet
banking: an empirical study in India. Int J Indian Cult Bus Manag
2(1):30–46
Kohli AK, Jaworski BJ (1990) Market orientation: the construct,
research propositions and managerial implications. J Mark 54:1–
18
Ladhari R (2009) A review of twenty years of SERVQUAL research.
Int J Qual Serv Sci 1(2):172–198
Lew P, Olsina L, Zhang L (2010) Quality, quality in use, actual usability
and user experience as key drivers for web application evaluation.
LCNS 6189:218–232
LikertR(1931)Atechnique for the measurement of attitudes. Columbia
University Press, New York Archives of Psychology
Loiacono ET,WatsonRT, GoodhueDL(2000)Webqual: awebsite quality
instrument, working paper 2000–126-0, University of Georgia
Loiacono ET, Watson RT, Goodhue DL (2007) WebQual: an instrument
for consumer evaluation of web sites. Int J Electron Commer
11(3):51–87
McIver JP, Carmines EG (1981) Unidimensional scaling. Sage, Newbury
Park, CA
Narver JC, Slater SF (1990) The effect of a market orientation on business
profitability. J Mark 54:20–35
Novak TP, Hoffman DL, Yung Y (2000) Measuring the customer experience
in online environments: a structural modeling approach.
Mark Sci 19(1):22–24
Parasuraman A, Zeithaml VA, Berry LL (1985) A conceptual model
of service quality and its implications for future research. J Mark
49(Fall):41–50
Parasuraman A, Zeithaml VA, Berry LL (1988) SERVQUAL: a
multiple-item scale for measuring consumer perceptions of service
quality. J Retail 64:12–40
Parasuraman A, Zeithaml VA, Malhotra A (2005) E-S-QUAL: a
multiple-item scale for assessing electronic service quality. J Serv
Res 7(3):213–233
Saleh F, Ryan C (1991) Analysing service quality in the hospitality
industry using the SERVQUAL model. Serv Ind J 11(3):324–345
Su LT (2003)Acomprehensive and systematicmodel of user evaluation
of web search engines: II. and evaluation by undergraduates. J Am
Soc Inf 54:1193–1223
Su LT (2010) User experience evaluation methods: current state and
development needs. In: 6th Nordic conference on human-computer
interaction: extending boundaries, pp 521–530
Wu YL, Tao YH, Yang PC (2012) Learning from the past and present:
measuring Internet banking service quality. Serv Ind J 32(3):477–
497
Yager RR (1995) An approach to ordinal decision making. Int J Approx
Reason 12:237–261
Yang Z, JunM, PetersonR(2004) Measuring customer perceived online
service quality scale development and managerial implications. Int
J Oper Prod Manag 24(11):1149–1174
Yoon S, Suh H (2004) Ensuring IT consulting SERVQUAL and user
satisfaction: amodifiedmeasurement tool. Inf Syst Front 6(4):341–
351
Zadeh LA (1975) The concept of a linguistic variable and its applications
to approximate reasoning, Pt I. Inf Sci 8:199–249 Pt
II, Information Sciences 8:301–357. Pt III, Information Sciences
9:43–80
Zeithaml VA, Parasuraman A, Malhotra A (2000) e-service quality:
definition, dimensions and conceptual model.Working paper.Marketing
Science Institute, Cambridge, MA
Zeithaml VA, Parasuraman A, Malhotra A (2002) Service quality delivery
through web sites: a critical reviewof extant knowledge. J Acad
Mark Sci 30(4):362–375
Zhou T, Zhang S, Ji B (2010) Exploring the effect of online banking
service quality on users’ continuance usage. In: 2nd international
conference on e-business and information system security
(EBISS), pp 1–4
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