scholarly journals Assessment of service quality in the hotel industry: use of fuzzy hybrid methodologies

2020 ◽  
Vol 13 (1) ◽  
pp. 40
Author(s):  
Nara Medianeira Stefano ◽  
Izabel Cristina Zattar ◽  
Nelson Casarotto Filho

Considering that, service quality is an abstract and elusive construct because of three characteristics of services: intangibility, heterogeneity, and inseparability of production and consumption. In that way, we define service quality as perceived by the customer. Thus for service providing organizations the interpretation of customer needs is critical. The good performance in services strengthens competitiveness and establish a relationship with the customer, consolidating the brand, communication with the market. In this context, study aimed to assess the services quality in large hotel located in Santa Catarina – Brazil, with participation of 187 guests. We used the SERVQUAL method to collect data on a questionnaire based dimensions of quality. To calculate the expected weights and perception was used FAHP (Fuzzy Analytic Hierarchy Process). As a result, these aspects are presented where the expectation of the guests regarding the service is greater than that found reality, allowing thus the company strategically align its future investments.

Author(s):  
G. Marimuthu ◽  
G. Ramesh

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.


2021 ◽  
Vol 10 (4) ◽  
pp. 255
Author(s):  
Yen-Cheng Chen ◽  
Ching-Sung Lee ◽  
Ya-Chuan Hsu ◽  
Yin-Jui Chen

The main purpose of this study was to investigate the factors that discouraged Taiwan hoteliers from applying for green hotel certification. The analytic hierarchy process (AHP) method was used to perform a weighted analysis that comprehensively identified important hindering factors based on information from hotel industry, government, academic, and consumer representatives. Overall, in order of importance, the five dimensions of hindering factors identified by these experts and scholars were hotel internal environment, consumers’ environmental protection awareness, environmental protection incentive policy, hotel laws and regulations policy, and hotel external environment. Among the 26 examined hindering factor indices, the three highest-weighted indices overall for hoteliers applying for green hotel certification were as follows: environmental protection is not the main consideration of consumers seeking accommodations, lack of support by investment owners (shareholders), and lack of relevant subsidy incentives. The major contribution of this study is that hoteliers can understand important hindering factors associated with applying for green hotel certification; therefore, strategies that can encourage or enhance the green certification of hotels can be proposed to improve corporate image in the hotel industry, implement social responsibility in this industry, and obtain consumers’ approval of and accommodation-willingness for green hotels.


2021 ◽  
Vol 13 (2) ◽  
pp. 809
Author(s):  
Ngoc Thach Pham ◽  
Anh Duc Do ◽  
Quang Vinh Nguyen ◽  
Van Loi Ta ◽  
Thi Thanh Binh Dao ◽  
...  

This study aims to investigate and evaluate factors related to the knowledge management model at universities in Hanoi, Vietnam. Based on the system literature review (SLR) approach, the study follows descriptive and inductive approach results of the document review process. Eight factors were synthesized with the fuzzy analytic hierarchy process (FAHP) to evaluate the priority order. Ten experts from seven universities participated in the survey. The results rank as follows: (1) knowledge sharing factor (this also has the highest best nonfuzzy performance (BNP) and average multiplier weight (GM)); (2) knowledge management with big data systems; (3) knowledge creation; (4) knowledge use; (5) knowledge gathering; (6) leadership; (7) knowledge rating; and (8) knowledge storage. Discussions, conclusions, limitations of the study, and suggestions for future studies are also mentioned in this study.


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