Welcome to the InfoSci Platform
Reference Hub2
Antecedents of Customer Satisfaction Affecting Broadband Loyalty: An Implementation of Servqual and NPS®

Antecedents of Customer Satisfaction Affecting Broadband Loyalty: An Implementation of Servqual and NPS®

Franklin M. Lartey, Kathleen Hargiss, Caroline Howard
Copyright: © 2015 |Volume: 6 |Issue: 1 |Pages: 16
ISSN: 1947-3095|EISSN: 1947-3109|EISBN13: 9781466678798|DOI: 10.4018/IJSITA.2015010103
Cite Article Cite Article

MLA

Lartey, Franklin M., et al. "Antecedents of Customer Satisfaction Affecting Broadband Loyalty: An Implementation of Servqual and NPS®." IJSITA vol.6, no.1 2015: pp.26-41. http://doi.org/10.4018/IJSITA.2015010103

APA

Lartey, F. M., Hargiss, K., & Howard, C. (2015). Antecedents of Customer Satisfaction Affecting Broadband Loyalty: An Implementation of Servqual and NPS®. International Journal of Strategic Information Technology and Applications (IJSITA), 6(1), 26-41. http://doi.org/10.4018/IJSITA.2015010103

Chicago

Lartey, Franklin M., Kathleen Hargiss, and Caroline Howard. "Antecedents of Customer Satisfaction Affecting Broadband Loyalty: An Implementation of Servqual and NPS®," International Journal of Strategic Information Technology and Applications (IJSITA) 6, no.1: 26-41. http://doi.org/10.4018/IJSITA.2015010103

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Many customer satisfaction studies in the service industry use SERVQUAL, an instrument developed by Parasuraman, Zeithaml, and Berry (1998). Similarly, many studies on customer loyalty use the Net Promoter System™ (NPS®) developed by . Even though researchers acknowledge a relationship between satisfaction and loyalty, there is currently no empirical evidence demonstrating such relationship using SERVQUAL and NPS. In that regard, this study analyzed the antecedents of satisfaction measured by SERVQUAL that influence loyalty as measured by NPS in the context of the residential broadband service industry. To that effect, 208 broadband customers in the U.S. Midwest region were surveyed online. A confirmatory factor analysis confirmed the latent structure of collected data, validating the use of the five SERVQUAL factors as predictors. An ordinal logistic regression (OLR) model built on the collected data confirmed the existence of a statistically significant relationship between Empathy (one of the factors) and customer loyalty, suggesting that increasing empathy by one point increased the odds of becoming a promoter by 11.73%. The final model was validated using the Akaike information criterion (AIC), a single sample cross-validation model.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.