Using a hybrid method to evaluate service innovation in the hotel industry

College

Gokongwei College of Engineering

Department/Unit

Industrial Engineering

Document Type

Article

Source Title

Applied Soft Computing Journal

Volume

28

First Page

411

Last Page

421

Publication Date

1-1-2015

Abstract

This study develops a hybrid method to improve selection decision making in service innovation. Because criteria for customer perceptions tend to be vague and conflicting, the process of evaluating perceptions (qualitative scale) and operational data (quantitative scale) should be combined. This study proposes the concomitant evaluation of qualitative and quantitative scales using a hybrid approach that combines fuzzy set theory, a discrete multi-criteria method based on prospect theory (known as TODIM in Portuguese) and the non-addictive Choquet integral. The study assumes that the criteria possess interdependent relationships. The advantages of the proposed hybrid approach, which exhibits a hierarchical structure, have been demonstrated throughout the hot spring hotel industry. The proposed method demonstrates that it can be extremely useful for recommending operational alternatives because it clearly identifies the main criteria of the expressed alternatives. The results indicate that the approach easily and effectively accommodates criteria with gain and loss functions and can help practitioners improve their performance and reduce overall service innovation risks. © 2014 Elsevier B.V. All rights reserved.

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Digitial Object Identifier (DOI)

10.1016/j.asoc.2014.11.048

Disciplines

Hospitality Administration and Management | Operations Research, Systems Engineering and Industrial Engineering

Keywords

Hotel management—Evaluation; Choquet theory; Fuzzy sets

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