A STRUCTURAL ANALYSIS OF DIGITAL CUSTOMER ENGAGEMENT DRIVERS AND THEIR INFLUENCE ON CUSTOMER SATISFACTION IN NIGEIA'S PORT LOGISTICS SERVICE ECOSYSTEM

In the rapidly evolving digital economy, customer engagement has emerged as a critical determinant of business success, particularly within complex service ecosystems such as port logistics. In Nigeria, where port operations are vital to trade and economic development, the adoption of digital tools to enhance customer interaction and satisfaction is gaining prominence. This study conducts a structural analysis of the key drivers of digital customer engagement and investigates their influence on customer satisfaction within Nigeria’s port logistics sector. By exploring the influence of digital customer engagement drivers on customer satisfaction in Nigeria’s port logistics service ecosystem, the research aims to provide actionable insights into optimizing digital engagement strategies for improved service delivery and stakeholder experience. To achieve this objective, the main source of data was through primary source with the use of questionnaire. The researcher adopted the survey research design approach and data were collected from 323 respondents drawn from the port logistics service firms’ customers’ base. A total number of 318 copies of the questionnaire were retrieved in useable form representing 98.5 percent of data analyzed using the Simple Regression Model (SRM). Data generated from the study were processed using descriptive and inferential statistics and hypotheses tested at0.05 level of significance. Findings revealed that digital customer engagement drivers had significant influence on customer satisfaction within Nigeria’s port logistics service ecosystem. Thus, the study recommended that the port managers should utilize predictive analytics to deliver proactive services by examining historical customer behavior, shipment patterns, and cargo categories to anticipate future customers’ needs

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-29
DOI
https://doi.org/10.5281/zenodo.15546277
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A STRUCTURAL ANALYSIS OF DIGITAL CUSTOMER ENGAGEMENT DRIVERS AND THEIR INFLUENCE ON CUSTOMER SATISFACTION IN NIGEIA'S PORT LOGISTICS SERVICE ECOSYSTEM

Zenodo (CERN European Organization for Nuclear Research)
Parallel Computing and Optimization Techniques
article

A STRUCTURAL ANALYSIS OF DIGITAL CUSTOMER ENGAGEMENT DRIVERS AND THEIR INFLUENCE ON CUSTOMER SATISFACTION IN NIGEIA'S PORT LOGISTICS SERVICE ECOSYSTEM

article en

Abstract

In the rapidly evolving digital economy, customer engagement has emerged as a critical determinant of business success, particularly within complex service ecosystems such as port logistics. In Nigeria, where port operations are vital to trade and economic development, the adoption of digital tools to enhance customer interaction and satisfaction is gaining prominence. This study conducts a structural analysis of the key drivers of digital customer engagement and investigates their influence on customer satisfaction within Nigeria’s port logistics sector. By exploring the influence of digital customer engagement drivers on customer satisfaction in Nigeria’s port logistics service ecosystem, the research aims to provide actionable insights into optimizing digital engagement strategies for improved service delivery and stakeholder experience. To achieve this objective, the main source of data was through primary source with the use of questionnaire. The researcher adopted the survey research design approach and data were collected from 323 respondents drawn from the port logistics service firms’ customers’ base. A total number of 318 copies of the questionnaire were retrieved in useable form representing 98.5 percent of data analyzed using the Simple Regression Model (SRM). Data generated from the study were processed using descriptive and inferential statistics and hypotheses tested at0.05 level of significance. Findings revealed that digital customer engagement drivers had significant influence on customer satisfaction within Nigeria’s port logistics service ecosystem. Thus, the study recommended that the port managers should utilize predictive analytics to deliver proactive services by examining historical customer behavior, shipment patterns, and cargo categories to anticipate future customers’ needs

Zenodo (CERN European Organization for Nuclear Research)
Akwa Ibom State University (NG)
Openalex Percentile: Top 49%
Parallel Computing and Optimization Techniques
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.