A Fuzzy Linguistic Extended LibQUAL+ Model to Assess Service Quality in Academic Libraries

Cabrerizo, Francisco Javier; Gijón, Javier López; Martínez, María Angeles Aláez; Morente-Molinera, Juan Antonio; Herrera‐Viedma, Enrique

doi:10.1142/s0219622015500406

Cited by 15 publications

(12 citation statements)

References 44 publications

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“…It permits library service providers to perform systematic assessment and measure of library service quality. Furthermore, this tool is used and tested in variety of libraries, including, academic 39,40 ; agricultural 41 ; health 42 ; college 43 ; university 44,45 and public libraries 46 . LibQUAL+® helps libraries to assess the services provided by them and to develop the library services to meet the customers' expectations 38 .…”

Section: Literature Review 21 Library Service Qualitymentioning

confidence: 99%

Hospitality Students’ Perception of College Library Service Quality: Importance- Performance Analysis

Mallya

Patwardhan

2018

DJLIT

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<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>The purpose of this research is to examine the perceived importance and perceived experiences of library service quality for hospitality management students. Also, an effort was made to identify the strengths and weaknesses of library service quality based on their perception of library services. The researchers have used LibQUAL+®, a popular tool that libraries use to assess the perception of library service quality over the years. Undergraduates and postgraduate’s students studying in one of the premier private hotel management institutes in India participated in </span><span>this study. The findings of the study suggest that library service providers need to understand the needs of students </span><span>and should have the inclination to help students in making the library a gateway for study, learning and research. The future research may include faculty members’ perception of importance and performance of library service quality. This type of survey can be repeated at regular intervals to distinguish the varying needs of library users. </span></p></div></div></div>

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Section: Literature Review 21 Library Service Qualitymentioning

confidence: 99%

Hospitality Students’ Perception of College Library Service Quality: Importance- Performance Analysis

Mallya

Patwardhan

2018

DJLIT

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“…• cd hk (16) being cd hk the consistency degree related to the decision maker dm h for the criterion c k , which is computed by using the methodology introduced by Herrera-Viedma et al (refer to [23] for a detailed description of the procedure).…”

Section: ) Optimization Processmentioning

confidence: 99%

“…However, this should be evaluated according to different criteria. For instance, to evaluate the best library among a group of them, several criteria as ''library materials'' or ''community space for group study and learning'' should be considered [16]. In addition, it must be considered that each decision maker participating in the decision problem could play a different role, that is, some decision makers should be more influential than others in some criteria as their knowledge degree, experience, and relevance, could be different among them.…”

Section: Introductionmentioning

confidence: 99%

Group Decision Making Based on a Framework of Granular Computing for Multi-Criteria and Linguistic Contexts

Callejas¹,

Cerrada

et al. 2019

IEEE Access

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The usage of linguistic information involves computing with words, a methodology assuming linguistic values as computational elements, in group decision-making environments. In recent times, a new methodology founded on a framework of granular computing has been employed to manage linguistic information. An advantage of this methodology is that the distribution and the semantics of the linguistic values, in place of being initially established, are defined by the optimization of a certain criterion. In this paper, different from the existing approaches, we present a novel approach build on the basis of a granular computing framework that is able to cope with group decision-making problems defined in multi-criteria contexts, that is, those in which different criteria are considered to evaluate the possible alternatives for solving the problem. In particular, it models group decision-making problems in a more realistic way by taking into account that each criterion has an importance weight and by considering that each decision maker has a different importance weight for each criterion. This approach makes operational the linguistic values by associating them with intervals via the optimization of an optimization criterion composed of two important aspects that must be taken into account in this kind of decision problems, that is, the consensus at the level of group of decision makers and the consistency at the level of individual decision makers.

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“…Decision making plays an important role in our daily lives. As it is a human mental process that leads to the selection of a choice between some different ones, the Computing with Words (CW) methodology [10,33], which narrows the differences between computing and human reasoning, has been applied to enrich and create decision models manipulating information of qualitative nature [3,2,9].…”

Section: Introductionmentioning

confidence: 99%

Personalized Linguistic Information: A Framework of Granular Computing

Cabrerizo¹,

Morente-Molinera²,

Alonso³

et al. 2019

Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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In group decision making, the usage of linguistic information entails the requirement for computing with words, a methodology in which words from a natural language are the computational elements. Recently, a new approach based on a framework of granular computing has been applied to cope with linguistic information. Its advantage is that the distribution and the semantics of the linguistic values that represent the words, in place of being defined a priori, are established as defined by the optimization of a given optimization criterion. Once they have been obtained, the distribution and the semantics of the linguistic values are the same for all de decision makers involved in the decision problem. However, as a word means a different thing to different people, we present in this contribution a new approach that is able to obtain personalized linguistic values.

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A Fuzzy Linguistic Extended LibQUAL+ Model to Assess Service Quality in Academic Libraries

Cited by 15 publications

References 44 publications

Hospitality Students’ Perception of College Library Service Quality: Importance- Performance Analysis

Hospitality Students’ Perception of College Library Service Quality: Importance- Performance Analysis

Group Decision Making Based on a Framework of Granular Computing for Multi-Criteria and Linguistic Contexts

Personalized Linguistic Information: A Framework of Granular Computing

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