Diagnosing and routing electronic service quality improvement of academic libraries with the FMEA approach in an intuitionistic fuzzy environment
| Autor: | Sepideh Saghafi, Seyyed Habibollah Mirghafoori, Hossein Sayyadi Tooranloo |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Knowledge management
Quality management business.industry Computer science media_common.quotation_subject 05 social sciences Sample (statistics) 02 engineering and technology Library and Information Sciences Organizational performance Computer Science Applications Identification (information) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Customer satisfaction Quality (business) 0509 other social sciences ELECTRE 050904 information & library sciences business Failure mode and effects analysis media_common |
| Zdroj: | The Electronic Library. 38:597-631 |
| ISSN: | 0264-0473 |
| DOI: | 10.1108/el-09-2019-0218 |
| Popis: | PurposeIn this way, the aim of this study is to expand and evelop the application of this technique in FMEA to rank failure modes of ESQ of academic libraries in an intuitionistic fuzzy environment. Assessment of electronic service quality (ESQ) of libraries is significantly important according to their major roles. It should be noted that the ESQ has a significant impact on customer satisfaction, which improves organizational performance. Accordingly, low ESQ means waste of organizational resources and poor user satisfaction. So, there is a dire need to reflect reasons inducing failure modes in academic library ESQ. Thus, investigation of failure modes affecting academic library ESQ is highly important. One solution in this area is utilization of the intuitionistic fuzzy (IF) failure mode and effects analysis (FMEA) as one of the widely used methods for prediction and identification of failure modes.Design/methodology/approachThe present study in terms of objective is applied and in terms of the type of method is descriptive-analytical. The research sample included four experts of Yazd academic Libraries (Iran). To collect data, three types of questionnaires were distributed among experts. The purpose of the first questionnaire was to identify and reach an agreement on e-library failure modes. Type II questionnaire was used to determine the importance of identified risk factors and Type III questionnaire was used to prioritize the factors.FindingsResults indicate that the difficulty of using websites, lack of provided information feedback to users and lack of links on the website to users' are the main priorities for improving ESQ in the studied academic libraries.Originality/valueIn this approach, the Intuitionistic fuzzy Elimination Et Choix Traduisant la REalité and technique for order of preference by similarity to ideal solution method were used to rank failure modes in academic library ESQ within the FMEA framework.] |
| Databáze: | OpenAIRE |
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