Effects of waiting line management on customer satisfaction: A Study of selected banks in Ogoja, Nigeria

The objective of this study was to investigate the effects of waiting line management on customer satisfaction, using specific selected banks in Ogoja, Nigeria. The study aimed to assess how expected waiting time and the waiting environment influence customer satisfaction in these banks. A cross-sectional survey design was employed for this research. The target population included 44 management staff from the selected banks and all customers who visited during the hours of 8:30 a.m. to 4:00 p.m. over a month chosen by the researchers. A purposive and stratified sampling technique was utilized, with the Topman formula applied to determine the sample size. Data were collected using a well-structured questionnaire. Analysis of the data was conducted using multiple linear regression with SPSS 27.0. The regression results indicated a significant positive correlation between expected waiting time and customer satisfaction (β = 0.469, p < 0.001, t = 3.012). Additionally, the analysis showed a significant effect of the waiting environment on customer satisfaction (β = 0.450, p = 0.003, t = 3.040). Based on these findings, the study recommended that the selected commercial banks invest in providing accurate information to customers, which could help reduce their expected waiting times.

Authors

Publication Details

Journal
International journal of economics and business management
Published
2025-05-17
DOI
https://doi.org/10.59568/ijebm-2025-1-2-20
Citations
1
Primary Topic
Customer Service Quality and Loyalty
Type
article
Field-Weighted Citation Impact
2.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of waiting line management on customer satisfaction: A Study of selected banks in Ogoja, Nigeria

Jude U. Bassey, Emmanuel Abiji Abiji, Paul Boniface Otiala, Benjamin Samuel Chidubem
1 citations
International journal of economics and business management
Customer Service Quality and Loyalty
2.76
article

Effects of waiting line management on customer satisfaction: A Study of selected banks in Ogoja, Nigeria

Jude U. Bassey, Emmanuel Abiji Abiji, Paul Boniface Otiala, Benjamin Samuel Chidubem
article en
1 citations

Abstract

The objective of this study was to investigate the effects of waiting line management on customer satisfaction, using specific selected banks in Ogoja, Nigeria. The study aimed to assess how expected waiting time and the waiting environment influence customer satisfaction in these banks. A cross-sectional survey design was employed for this research. The target population included 44 management staff from the selected banks and all customers who visited during the hours of 8:30 a.m. to 4:00 p.m. over a month chosen by the researchers. A purposive and stratified sampling technique was utilized, with the Topman formula applied to determine the sample size. Data were collected using a well-structured questionnaire. Analysis of the data was conducted using multiple linear regression with SPSS 27.0. The regression results indicated a significant positive correlation between expected waiting time and customer satisfaction (β = 0.469, p < 0.001, t = 3.012). Additionally, the analysis showed a significant effect of the waiting environment on customer satisfaction (β = 0.450, p = 0.003, t = 3.040). Based on these findings, the study recommended that the selected commercial banks invest in providing accurate information to customers, which could help reduce their expected waiting times.

International journal of economics and business managementVol. 1(2)
Openalex Percentile: Top 8%
Customer Service Quality and Loyalty
2.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.