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Loyalty of Public Library Users in Indonesia Using the Net Promoter Score (NPS) Metrics

A Case Study of Drive-through Services During the Covid-19 Pandemic

Bibliographic Data

ID16910737
AuthorsDyah Puspitasari Srirahayu (0000-0003-0109-6123, Airlangga University, corresponding author), M K Yanti Idaya Aspura (0000-0002-7642-469X, University of Malaya), Dessy Harisanty (0000-0002-8414-0128, Airlangga University), Endang Fitriyah Mannan (0000-0003-1318-1974, Airlangga University), Nove E Variant Anna (0000-0002-1700-2315, Airlangga University)
Year2025
Volume15
Issue2
Publication date2025-04-01
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/21582440251340625
OpenAlexW4411312344
LanguageEN
References cited37

Public libraries, as a source of public information, continue to provide services by developing innovative solutions, such as drive-through facilities for borrowing and returning printed books. This paper aims to measure the effect of drive-through service user loyalty in public libraries using the Net Promoter Score (NPS). Questionnaires were distributed to users who utilized the drive-through facilities at Public Libraries in Indonesia, and 100 users completed the questionnaires. This study employs Structural Equation Modeling (SEM) to analyze data on the relationship between service quality, user satisfaction, and Drive-Through User Loyalty. The results indicate that the NPS score is influenced solely by service quality and has no effect on drive-through user loyalty. The findings demonstrate that NPS service quality affects satisfaction, satisfaction affects loyalty, and service quality affects the Net Promoter Score. However, service quality does not affect loyalty, the Net Promoter Score does not affect satisfaction, and the Net Promoter Score does not affect loyalty. Libraries can utilize these results to develop drive-through services that cater to user needs by examining service quality factors to enhance user satisfaction and loyalty

2019-20 coronavirus outbreak · Advertising · Business · Loyalty · Pandemic · Sociology · Consumer Behavior and Marketing Influence · Health, Technology, Consumer Behavior · Medicine · Psychology · SMEs Development and Digital Marketing · Internal Medicine · Marketing · Virology

  • Sample Size Requirements for Structural Equation Models

    Open Access•Erika J Wolf, Kelly Harrington et al.•Educational and Psychological…•2013

  • User satisfaction and loyalty in a public library setting

    Open Access•Te-Shyang Tan, Tung‐Liang Chen et al.•Social Behavior and Personality…•2017

Highly citedNo

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