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

LibQUAL+ model is the best-known method for the quality evaluation of library services, but it has two major drawbacks. First, to measure the quality, it is devised on a cardinal scale: the service levels range from 1 to 9. However, the standard representation of the concepts used by humans for communication is the natural language and, hence, users should express their judgments by using words instead of numbers. Second, it considers that all users’ opinions are equally important. Nevertheless, users do not play an equal role in assessing the service quality, i.e., the opinion given by some users should be more relevant than the opinion provided by others. To solve these drawbacks, we present an extended LibQUAL+ model representing the users’ perceptions by using a fuzzy linguistic modeling and taking into account that users’ opinions on the library services are not equally important.

[1]  G. A. Miller.  THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[2]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[3]  L. A. ZADEH,et al.  The concept of a linguistic variable and its application to approximate reasoning - I , 1975, Inf. Sci..

[4]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[5]  L. Zadeh.  A COMPUTATIONAL APPROACH TO FUZZY QUANTIFIERS IN NATURAL LANGUAGES , 1983 .

[6]  A. Parasuraman,et al.  A Conceptual Model of Service Quality and Its Implications for Future Research , 1985 .

[7]  J. Kacprzyk.  Group decision making with a fuzzy linguistic majority , 1986 .

[8]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[9]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decision-making , 1988 .

[10]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[11]  V. Zeithaml.  Delivering Quality Service , 1990 .

[12]  A. Parasuraman,et al.  Refinement and reassessment of the SERVQUAL scale. , 1991 .

[13]  A. Parasuraman,et al.  Alternative scales for measuring service quality: A comparative assessment based on psychometric and diagnostic criteria , 1994 .

[14]  Francisco Herrera,et al.  Direct approach processes in group decision making using linguistic OWA operators , 1996, Fuzzy Sets Syst..

[15]  D. Nitecki.  Changing the concept and measure of service quality in academic libraries , 1996 .

[16]  Francisco Herrera,et al.  Aggregation operators for linguistic weighted information , 1997, IEEE Trans. Syst. Man Cybern. Part A.

[17]  Philip J. Calvert.  International Variations in Measuring Customer Expectations , 2001, Libr. Trends.

[18]  Colleen Cook,et al.  Users' Perceptions of Library Service Quality: A LibQUAL+ Qualitative Study , 2001, Libr. Trends.

[19]  Sharon A. Weiner.  Library Quality and Impact: Is There a Relationship between New Measures and Traditional Measures? , 2005 .

[20]  George Lawton.  LAMP lights enterprise development efforts , 2005, Computer.

[21]  Javier Montero,et al.  Fuzzy Logic and Science , 2009 .

[22]  Francisco Herrera,et al.  Computing with words in decision making: foundations, trends and prospects , 2009, Fuzzy Optim. Decis. Mak..

[23]  Enrique Herrera-Viedma,et al.  Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks , 2010, Soft Comput..

[24]  Enrique Herrera-Viedma,et al.  A Model Based on Fuzzy Linguistic Information to Evaluate the Quality of Digital Libraries , 2010, Int. J. Inf. Technol. Decis. Mak..

[25]  Alireza Isfandyari-Moghaddam,et al.  Quality assessment of academic libraries' performance with a special reference to information technology-based services: Suggesting an evaluation checklist , 2010, Electron. Libr..

[26]  Ulla Hakala,et al.  Customer satisfaction and the strategic role of university libraries , 2010 .

[27]  Enrique Herrera-Viedma,et al.  Dealing with incomplete information in a fuzzy linguistic recommender system to disseminate information in university digital libraries , 2010, Knowl. Based Syst..

[28]  Asefeh Asemi,et al.  Using LibQUAL+TM to improve services to libraries: A report on academic libraries of Iran experience , 2010, Electron. Libr..

[29]  Enrique Herrera-Viedma,et al.  Group decision making problems in a linguistic and dynamic context , 2011, Expert Syst. Appl..

[30]  Enrique Herrera-Viedma,et al.  A review of quality evaluation of digital libraries based on users’ perceptions , 2012, J. Inf. Sci..

[31]  Enrique Herrera-Viedma,et al.  A hybrid recommender system for the selective dissemination of research resources in a Technology Transfer Office , 2012, Inf. Sci..

[32]  Witold Pedrycz,et al.  A method based on PSO and granular computing of linguistic information to solve group decision making problems defined in heterogeneous contexts , 2013, Eur. J. Oper. Res..

[33]  Enrique Herrera-Viedma,et al.  A fuzzy linguistic model to evaluate the quality of Library 2.0 functionalities , 2013, Int. J. Inf. Manag..

[34]  Enrique Herrera-Viedma,et al.  A linguistic consensus model for Web 2.0 communities , 2013, Appl. Soft Comput..

[35]  Ciara McCaffrey.  LibQUAL in Ireland: performance assessment and service improvement in Irish university libraries , 2013 .

[36]  E. Herrera‐Viedma,et al.  Libraries' social role in the information age. , 2013, Science.

[37]  Jody Condit Fagan,et al.  The Dimensions of Library Service Quality: A Confirmatory Factor Analysis of the LibQUAL+ Instrument , 2014 .

[38]  Enrique Herrera-Viedma,et al.  A quality based recommender system to disseminate information in a university digital library , 2014, Inf. Sci..

[39]  Enrique Herrera-Viedma,et al.  A new linguistic computational model based on discrete fuzzy numbers for computing with words , 2014, Inf. Sci..

[40]  Zeshui Xu,et al.  A Novel Method for Fuzzy Multi-Criteria Decision Making , 2014, Int. J. Inf. Technol. Decis. Mak..

[41]  Enrique Herrera-Viedma,et al.  A New Consensus Model for Group Decision Making Problems With Non-Homogeneous Experts , 2014, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[42]  Enrique Herrera-Viedma,et al.  On multi-granular fuzzy linguistic modeling in group decision making problems: A systematic review and future trends , 2015, Knowl. Based Syst..

[43]  Enrique Herrera-Viedma,et al.  Fuzzy decision-making and consensus: New trends and real-life applications , 2015, Appl. Soft Comput..

[44]  Enrique Herrera-Viedma,et al.  A decision support system to develop a quality management in academic digital libraries , 2015, Inf. Sci..

[45]  Sung-Bae Cho,et al.  Mobile Information Recommendation Using Multi-Criteria Decision Making with Bayesian Network , 2015, Int. J. Inf. Technol. Decis. Mak..

[46]  Enrique Herrera-Viedma,et al.  Fuzzy decision making and consensus: Challenges , 2015, J. Intell. Fuzzy Syst..

[47]  R. Likert.  “Technique for the Measurement of Attitudes, A” , 2022, The SAGE Encyclopedia of Research Design.